Review article
Prism Adaptation: A Window to behavior
and cognition
La adaptación a prismas: una ventana a la
conducta y la cognición
J.
Eduardo Reynoso-Cruz1, Victor Galvez2, Juan
Fernandez-Ruiz1,3*
1Departamento de Fisiología, Facultad de Medicina, Universidad
Nacional Autónoma de México.2Laboratorio de Neurociencias Cognitivas
y Desarrollo, Escuela de Psicología, Universidad Panamericana, Ciudad de México.3Instituto
de Neuroetología, Universidad Veracruzana, Xalapa, Veracruz, México.
This
article can be found at: https://eneurobiologia.uv.mx/index.php/eneurobiologia/article/view/2643
*Correspondence: Dr. Juan Fernandez Ruiz; Circuito Escolar 411A,
Copilco Universidad, Coyoacán, 04360, Ciudad de México, México; 2281636942; jfr@unam.mx
DOI: https://doi.org/10.25009/eb.v16i41.2643
Received: January
31, 2025 | Accepted: March 27, 2025
Abstract
Prism adaptation (PA) refers to how
individuals adjust their motor and perceptual responses to compensate for
visual distortions caused by prism lenses. This experimental paradigm is widely
used to investigate sensorimotor and cognitive processes underlying adaptation
and learning and the neural substrates and mechanisms that support these
processes. Research has shown that PA influences the functioning of the
prefrontal cortex and subcortical areas such as the cerebellum and basal
ganglia, indicating that PA engages both top-down and bottom-up cognitive
mechanisms. This review provides a historical overview of the pioneering
experiments by Stratton and Ardigò in the late 19th
century, which marked the beginning of PA research. It also discusses key
theories, such as the proposal of visual, motor, and proprioceptive mechanisms
for PA, and the reafference theory., which suggests that PA results from feedback
from self-generated movements that the brain uses to predict events and
generate motor responses.
Additionally, we emphasize the
importance of research involving individuals with conditions such as Parkinson's
and Huntington's diseases, which have been instrumental in clarifying the roles
of different brain areas. The final section of the review examines the clinical
applications of PA, including its use as a tool to improve the efficiency of
surgical procedures for strabismus and to reduce spatial errors in patients
with spatial neglect. This review aims to provide readers with a comprehensive
overview of the methodologies employed in PA research, the cognitive and neural
mechanisms required for adapting behavior to visual disruptions, and the
potential for PA to evolve from a basic research paradigm into a practical tool
for improving various medical conditions.
Keywords: Prism adaptation; top-down mechanisms;
bottom-up mechanisms; cognitive control; strabismus; spatial negligence.
Resumen
La adaptación a prismas (AP) es un paradigma experimental y un
área de estudio para comprender el control sensoriomotor, los procesos
cognitivos y las áreas anatómicas funcionales del cerebro involucradas en la
adaptación visomotora, y que podría aplicarse en diferentes situaciones
prácticas. Las investigaciones han revelado que la AP influye en el
funcionamiento de la corteza prefrontal y de áreas subcorticales como el
cerebelo y los ganglios basales, lo que indica que la AP requiere la
participación de mecanismos cognitivos descendentes y ascendentes. Esta
revisión ofrece un análisis histórico de los experimentos pioneros de Stratton
y Ardigò a finales del siglo XIX, considerados los primeros experimentos de AP.
También se discuten teorías que propusieron mecanismos visuales, motores y
propioceptivos para la AP, o la teoría de la referencia, que plantea que la AP
es el resultado de la retroalimentación de movimientos autogenerados que el
cerebro utiliza para predecir eventos y generar una respuesta motora, por
mencionar solo dos teorías. Como parte del desarrollo teórico, se describe la
importancia de las investigaciones con pacientes o condiciones como las
enfermedades de Parkinson y Huntington, que han sido esenciales para describir
el papel de diferentes áreas cerebrales. La última parte de la revisión incluye
una discusión sobre las aplicaciones clínicas de la AP como herramienta para
mejorar la eficiencia de los procedimientos quirúrgicos para el estrabismo o
para reducir los errores espaciales en pacientes con negligencia espacial. Así,
el lector puede comprender cuán flexible es este paradigma, pero también cuán
esencial es la AP para entender cómo funciona y se adapta el cerebro.
Palabras clave: Adaptación
a prismas; mecanismos top-down; mecanismos
bottom-up; control cognitivo; estrabismo; negligencia espacial.
1. Introduction
Visuomotor learning
involves learning and coordinating their visual perception with motor actions.
This type of learning is essential for activities requiring precise hand-eye
coordination, such as reaching objects, writing, and playing sports. Various methods
are available for studying visuomotor processes, such as visuomotor rotation
and force-field adaptation. However, Prism Adaptation (PA) is widely used
because of its real-world relevance, robust aftereffects, clinical
applications, and ability to reduce error signals. These characteristics make
it a valuable tool for research and clinical practice, providing unique
insights into sensorimotor learning and adaptation mechanisms.1,2
This
review aims to provide a comprehensive overview of the current state of
research on PA. The paper is structured around the following questions: What is
PA, and what are the methodological characteristics of this paradigm? What is
the history of PA research, and what are the theoretical proposals to explain
it? What are the underlying neural and cognitive mechanisms of PA? And what are
the clinical applications of PA?
2. Prism adaptation as an experimental paradigm
In a typical PA experiment, researchers
study how people adjust their movements when their visual input is altered.
Initially, participants perform a pointing or reaching task without any visual
distortion to establish a baseline of their natural hand-eye coordination.
Then, they wear special prism glasses that shift their visual field to the left
or right (or use other types of visual perturbations), causing the objects to
look like they appear in different locations than they are. While wearing prism
glasses, participants initially make inaccurate movements, but with repeated
attempts, they adjust their movements to compensate for the visual alteration;
this behavior is why this paradigm is called prism adaptation. After a period
of adaptation, the prism glasses are removed, and participants perform the task
again, showing an initial bias in the opposite direction of the prism shift,
known as the aftereffect. With continued practice without the prism glasses,
participants' movements gradually return to their original baseline accuracy.1,2
PA typically is a three-phase paradigm,
but additional phases could be added to study other relevant mechanisms. The
coming paragraphs describe each methodological characteristic.
Baseline phase. During this phase, participants must
perform tasks like throwing objects (balls or sacks) to a target, reaching
objects, or touching a spatial position in a touchscreen with the tip of the
index or middle finger of the dexterous hand, but only in one movement. This
behavior measures the individual's motor performance without any visual
distortion. This phase is crucial because it is a control measure that provides
a reference point against which the effects of the subsequent phases can be
compared.3
Exposure phase. During this phase, participants should
perform the previous behavior while they wear prism glasses that disturb their
visual field, depending on the type of prism introduced. Wedge prism glasses
cause an initial misalignment between visual input and motor output, leading to
errors in responses and causing the object to be thrown. The reaching or the
touching happens far from the real location. Over time, participants adapt
their motor responses to deal with the visual perturbations caused by the
prisms. The duration of this phase can vary, but it typically continues until
the participant's performance stabilizes, indicating that adaptation has
occurred.1
Post-exposure phase. This phase happens after removing
the prism glasses and is characterized by aftereffects where the motor
responses of the participants are biased in the opposite direction of the prism
shift. These aftereffects are a hallmark of PA and indicate that the
sensorimotor system has adapted to the altered visual input and needs to
readjust to the normal visual environment. The aftereffects gradually diminish
as the brain reverts to the original sensorimotor mappings. The magnitude and
duration of these aftereffects provide insights into the extent and persistence
of the adaptation.4,5
Retention phase (optional). This optional phase
evaluates how long the adaptation effects last. During this phase, participants
undergo testing after a delay to determine if the learned motor responses are
still present. This phase helps researchers understand whether the adapted
motor responses remain stable over time and whether the recalibrated motor
responses persist.4,6 The
persistence of adaptation effects is essential for rehabilitation applications
where long-term improvements in motor function are sought.
Transfer phase (optional). In this phase, participants
undergo various tasks or are placed in different environments to assess whether
the adapted motor responses apply to other situations or conditions beyond the
specific ones in the Exposure Phase. This phase aims to evaluate the
adaptability and generalizability of the adaptation, offering insights into how
the brain utilizes learned adjustments in a range of scenarios.4 Understanding transfer effects is
vital for creating interventions to enhance motor function across different
activities and settings.
3. Variables affecting prism adaptation
3.1. The effect of the developmental stage
PA has also been studied to
understand the maturation of sensorimotor and cognitive processes across
different developmental stages. This section explores the findings from various
studies on PA in normal development and children with developmental disorders
or concussions.
Integrating
visual and motor systems is a complex process does not innate but acquired
through experience and learning after birth. When we are born, our visual and
motor systems are not fully developed. Infants initially have limited control
over their motor actions, and their visual acuity is not fully mature. Over
time, through interaction with their environment, infants learn how to
coordinate their visual inputs with their motor outputs. For example, they
learn to reach for and grasp objects, which requires precise hand-eye
coordination. This developmental process is crucial for performing coordinated
movements based on visual information and is supported by the plasticity of
neural circuits during early childhood.7
Research on PA
in infants has provided valuable insights into the early development of perceptual
and motor coordination. McDonnell and Abraham conducted a seminal study on
infants aged 6-10 months, demonstrating that these infants could adapt to
laterally displacing prisms. The study found robust aftereffects, particularly
in active exposure conditions, indicating that infants possess the capacity for
perceptual adaptation even in the second half of the first year of life. This
adaptation is crucial in early sensorimotor development.8 In a
longitudinal study, the researchers further investigated PA in infants aged 6-9
months. The study revealed that PA could be observed in young infants, with
greater aftereffects in younger infants (6-7 months) compared to older ones
(8-9 months). However, the study found no evidence that prism exposure led to
lasting developmental changes in reaching or visual-motor coordination within
the studied age range.9 These findings highlight that PA is
evident in early infancy but does not result in long-term developmental
changes.
Other studies have examined visuomotor
learning and forgetting rates in children aged 4-12 using a PA paradigm. The
study found that while all age groups adapted to the prism condition at the
same rate, younger children showed slower forgetting rates compared to older
children and adults. This indicates asynchronous maturation of the cognitive
processes involved in visuomotor learning and adaptation.10 This
difference was later supported by an interesting sensory integration study
showing that young children (5-7 years old) exhibit less flexibility in
recalibrating sensory cues compared to older children and adults.11 These studies
suggest that the neural mechanism required for sensory integration and
calibration is not fully developed in young children, resulting in perceptual
differences between age groups.
PA studies have
also been instrumental in understanding sensorimotor impairments in children
with developmental disorders. A group of researchers assessed procedural and
strategic visuomotor learning deficits in children with Developmental
Coordination Disorder (DCD) using PA paradigms. The DCD group showed larger
variable errors and smaller adaptation and aftereffect magnitudes, indicating
impairments in procedural and strategic visuomotor learning processes. These
findings suggest inherent problems within the motor control and learning
systems of children with DCD, emphasizing the necessity for specialized
attention and support for their development.12
In addition to
developmental disorders, PA paradigms have been used to assess sensorimotor
impairment in youth following concussion. Little et al. used a prism task to
evaluate adaptation in young individuals with different concussion histories.
The study revealed significant differences in PA measures across groups. This
suggests that concussion may affect the brain's ability to adapt to altered
sensory input, making the prism task a potential diagnostic instrument for
detecting sensorimotor impairments in young individuals following a concussion.13
4. The effect of sex differences on
prism adaptation
Research has shown that there are significant sex
differences in how individuals adapt to visual distortions, indicating distinct
underlying mechanisms of motor control and learning between women and men. One
key finding is the difference in motor performance and strategic calibration
between the sexes. Men generally demonstrate superior throwing accuracy
compared to women (less deviation to the target), and this skill remains
consistent even when prism lenses introduce visual distortions.14,15 This suggests men
may have an inherent advantage in specific motor skills. However, this
advantage does not translate into faster adaptation to the prisms. Both men and
women require almost the same number of trials to recalibrate their motor
responses and reach baseline levels after using the prisms.14 These results
indicate that the sex difference in the accuracy during the throwing is not due
to differences in motor adaptation processes.
Further
research has highlighted that women may experience greater disruption from
concurrent tasks during PA, suggesting that their adaptation process may be
more susceptible to cognitive load.16 However, women exhibit larger
aftereffects (larger deviations) once the prisms are removed, indicating a
greater reliance on strategic calibration and spatial alignment processes
during motor learning.15 This suggests that women might be
using two types of recalibration, spatial and motor, leading to more pronounced
aftereffects, while men may rely more on immediate motor adjustments, resulting
in shorter deviation during the aftereffects.
5. The effect of visual feedback on
prism adaptation
Visual feedback refers to the sensory information
received from the visual system that allows individuals to adjust their motor
responses to compensate for the visual distortions caused by prism lenses.17 When
individuals are exposed to visual distortions through prism lenses, their
initial motor responses are typically inaccurate. One of the key processes
influenced by visual feedback is the strategic recalibration of motor commands.18 Studies have
shown that when visual feedback is available, individuals can quickly adjust
their motor responses to reduce errors. For instance, continuous visual
feedback during movement allows for real-time corrections, leading to more
accurate motor performance.19 This immediate feedback helps
fine-tune motor commands to align with the altered visual input.
Another
critical process is spatial realignment, which involves adjusting the perceived
spatial relationship between the body and the environment.20 Visual
feedback is crucial in this process as it provides information about the
difference between expected and actual visual outcomes. Studies have shown that
direct visual feedback of the hand and target position can lead to stronger
aftereffects, indicating a more robust spatial realignment.17 This suggests
that the visual system uses this feedback to update internal models of the body
and environment, resulting in more accurate motor responses over time.
The timing of
visual feedback also significantly impacts the adaptation process. Delayed
visual feedback has been found to slow the rate and reduce the amount of PA.21 When visual feedback is delayed,
the visuomotor system struggles to integrate the sensory information
effectively, leading to less efficient adaptation. This highlights the
importance of timely visual feedback in facilitating rapid and accurate
adjustments to motor commands. Moreover, the type of visual feedback provided
can influence the extent of adaptation. Direct visual feedback, where
individuals can see their hands and the target, leads to greater adaptation
compared to indirect or abstract feedback.22 This indicates that the quality and
clarity of visual information are crucial for effective recalibration and
realignment processes. Visual feedback also plays a role in the decay of prism
aftereffects. Studies have shown that aftereffects decay more rapidly when
visual feedback is available during the adaptation phase.23 This suggests
that visual reafferent stimulation is necessary to return to normal visuomotor
coordination, as it reinforces the newly established motor patterns.
6. Intermanual transfer of prims adaptation
Intermanual transfer
refers to the phenomenon where adaptive changes induced in one hand due to
exposure to a prismatic shift affect the performance and sensory processing of
the other hand.24,25 This process
provides key insights into the lateralization of brain functions and the
specificity of motor control.
Hemispheric
dominance is crucial to understanding intermanual
transfer. Studies indicate that the left hemisphere plays a more significant
role in controlling visual-spatial information for both hands, whereas the
right hemisphere predominantly influences the right hand. This asymmetry
suggests that the neural pathways involved in intermanual
transfer are not merely mirror images across the hemispheres but are instead
governed by a more complex organization of spatial and motor controls.24
Another crucial
aspect is the specificity of the adaptation process. Research has shown that
the transfer of adaptation effects depends not only on the limb used but also
on the dynamism of the movements. Previous experiments have demonstrated that
adaptations made during fast-reaching movements do not fully transfer to slow
movements, indicating that the adaptation is velocity-specific and involves
limb-specific neural processes and muscular load during the adaptation process.26
The conditions
in which the practice takes place also have a significant impact on intermanual transfer. Taub & Goldberg discovered that
spaced practice, which involves spreading out sessions over time, tends to
enhance more effective transfer compared to massed practice.25 This suggests
that there are differences in how motor memories are stored and recalled in
each situation. The process of intermanual transfer
also varies with the type of visual distortion experienced. Adaptations to
prismatic shifts, which displace visual input, involve more central and
encompassing recalibrations, affecting both hands' coordination. In contrast,
adaptations to lens-induced distortions, which do not alter proprioceptive
feedback, show minimal intermanual transfer,
highlighting the role of sensory feedback in shaping the transfer patterns.27
Furthermore,
the transfer's directionality, whether from the dominant to the non-dominant
hand or vice versa, also plays a significant role. A series of studies from
different groups have explored how adaptations on one hand can affect the
spatial alignment and motor performance of the other hand, revealing
directional asymmetry in the transfer process.6,28
These findings
collectively underscore the complexity of intermanual
transfer, illustrating that it is not a straightforward reflection of learning
from one hand to another but a dynamic interplay of sensory inputs, motor
plans, and cognitive strategies. This intricate process is crucial for
developing effective rehabilitation techniques and understanding the
fundamental principles of motor control and brain lateralization.
7. Historical context of prism
adaptation studies and theorical development
The concept of
PA dates to the late 19th century. George M. Stratton is often credited with
pioneering this field through his experiments on inverted vision. In his famous
1896 experiment, Stratton wore a monocular inverting lens over his right eye
for 8 days, keeping his other eye covered. Initially, he experienced
significant disorientation and difficulty in everyday tasks. However, after a
few days, Stratton began to adapt to the inverted visual field and could move
around more easily. At the end of the experiment, he reported that his visual
world had begun to feel normal and upright again, even though he was still
wearing the inverting lens. Once the lens was removed, his vision returned to
normal after a short readjustment period.29 Similar results
were obtained by Roberto Ardigò a decade before
Stratton's findings.30 Stratton and Ardigò's
experiments demonstrated the remarkable adaptability of the human visual
system, showing that the brain can adapt to radical changes in visual input
over time, and eventually perceive the altered visual world as normal and laid
the foundation for later research on PA and perceptual plasticity.
During the
1960s and the 1970s, PA researchers tried to develop theories to explain the
mechanisms underlying PA. One of the earliest and most influential theories was
the proprioceptive change theory. This theory suggests that adaptation involves
visual perception, motor control, and proprioception changes. This theory
highlighted the complex processes involved in adaptation, including changes in
visual localization, muscle coordination, and proprioception.31,32 Another
significant contribution came from a series of studies who developed a
technique using prisms to displace the visual image of the hand, showing that
participants could adapt to the new relationships between hand and target
through repeated trials, reducing their errors.33 These results
are called reafference theory and propose that the brain uses feedback from
self-generated movements to update its sensory predictions.
Posterior
studies investigated the roles of different types of informational feedback in
producing visual adaptation to rearrangement. The findings challenged the
reafference theory, which posits that self-induced movement is essential for
producing visual adaptation to rearrangement.34 These findings
suggested a more complex interplay of sensory inputs. Posterior research delved
deeper into the perceptual and oculomotor changes that occur during PA. The
study measured changes in straight-ahead eye position while adapting to wedge
prisms, revealing a shift in the perceived position of the visual target. This
indicated a change in the judgment of the direction of gaze, emphasizing the
intricate interplay between sensory, motor, and cognitive processes in PA.35 These theories
emphasize the importance of visual perception, motor control, proprioception,
and nonvisual feedback in PA.
8. Cognitive mechanisms
Posterior the 1970s, researchers focused on revealing
the mechanism involved in PA without concentrating on developing a theoretical
proposal. To reach this objective, researchers manipulated different parameters
of the PA paradigm. The coming paragraphs describe some experiments and their
major findings, paying special attention to the mechanism proposed by the
researchers.
When wearing
laterally displacing or reversing prisms, the visual shift causes a difference
between where objects appear and where they are. This often leads to
significant errors in motor actions, such as reaching for an object and missing
it by a large margin. This initial error is called the
prism-induced error.1 To compensate for the visual
distortion, the brain goes through a process of error correction. This involves
adjusting the motor commands to match the altered visual input. The adaptation
process can be split into two main phases: 1) Immediate Correction. In this
phase, individuals make quick, conscious adjustments to their motor actions to
minimize errors. Motor performance during this phase varies significantly as
the individual learns to compensate for the visual distortion; 2) Long-term
adaptation, with continued exposure to the prism glasses, the corrections
become more automatic and less conscious. The brain gradually recalibrates the
sensorimotor system, producing more accurate and consistent motor actions.36 This phase
involves the creation of new sensorimotor mappings that combine the altered
visual input with the appropriate motor responses. These mechanisms are
described in more detail below.
Error detection and initial error correction. Error
detection is the brain's process of identifying differences between the
expected and actual sensory feedback.37 When a person
first wears prism glasses, their visual field shifts, causing them to make
errors at pointing or reaching. These errors are detected by comparing the
intended movement (based on the shifted visual input) with the actual outcome
of the movement. Error correction is the process by which the brain adjusts the
motor commands to reduce the detected error over time. This process involves
updating the internal model of the body and the environment to account for the
visual distortion introduced by the prism glasses.38 The goal is to
minimize the error in subsequent movements.
Strategic
Adjustment and Recalibration. Two distinct processes contribute to the overall
adaptation to visual distortions caused by the prisms. These processes work
together to aid individuals in correcting their movements and achieving
accurate motor performance despite the altered visual input.2,38 Strategic
adjustment refers to the conscious, deliberate changes in motor behavior that
individuals make to compensate for visual distortion.39 This process
involves using cognitive strategies to modify movements based on the perceived
error. Strategic adjustments are typically quick and can be implemented
immediately after introducing the visual distortion. Recalibration refers to
the gradual, unconscious adjustment of the sensorimotor system to visual
distortion.40 This process involves updating the internal model of
the body and the environment to account for the altered visual input.
Recalibration is slower than strategic adjustment and occurs through repeated
practice and feedback.
Motor planning
and execution. It involves preparing and organizing the necessary motor
commands to achieve a desired movement. This process includes selecting the
appropriate muscles, determining the sequence of muscle activations, and
predicting the sensory consequences of the movement.41 In the context
of PA, motor planning must adjust for the visual distortion caused by prism
glasses, requiring the brain to adapt its predictions and plans to compensate
for the shifted visual input. On the other hand, motor execution refers to the
actual performance of the planned movement. It involves transmitting motor
commands from the brain to the muscles, monitoring the movement in real-time,
and making necessary adjustments to ensure accuracy.42 In PA, motor
execution involves adjusting motor plans that compensate for the visual
distortion, requiring continuous monitoring and correction to maintain movement
accuracy despite the altered visual input.43
Sensory-motor
integration. It is the coordination of sensory inputs and motor outputs to
adapt movements in response to visual distortions. This process involves
detecting errors, updating motor plans, executing adjusted movements, and
gradually refining motor performance through repeated practice.44,45 Sensory-motor
integration is crucial for successfully adapting to visual distortion caused by
wearing prism glasses, allowing individuals to achieve accurate and adaptive
motor behavior.
Error
sensitivity and adaptation. Error sensitivity is the brain's ability to detect
and respond to differences between intended and actual outcomes. This is
important in the context of PA, as it helps identify errors caused by the
visual shift introduced by prism glasses. When wearing prism glasses for the
first time, the visual field shifts, leading to errors at pointing or reaching.
The brain detects these errors by comparing the intended target position, based
on the shifted visual input, with the actual position reached. The detected
error generates a signal indicating the need for adjustment, and the size of
this error signal is proportional to the difference between the intended and
actual outcomes.46,47
Conscious and
nonconscious processes. The processes involved in PA can be classified as
either conscious or nonconscious. Conscious processes include cognitive
strategies and error awareness, while nonconscious processes involve
sensorimotor realignment, proprioceptive recalibration, and automatic error
correction. These processes work together to help the brain adapt to visual
distortions and maintain accurate motor control.
Cognitive
strategies require deliberate conscious efforts to adjust movements based on
visual feedback. When individuals first experience the visual distortion caused
by prisms, they may consciously aim in the direction of the perceived shift to
compensate for the error. This involves higher-order cognitive functions such
as planning, attention, and decision-making.48 Error
awareness is the conscious recognition of discrepancies between intended and
actual movements, which may lead to implementing cognitive strategies.
During PA,
individuals become aware of the errors they make when trying to hit a target by
detecting a mismatch between the intended result and the actual result of their
actions. This awareness, which usually follows when adapting to large
perturbations of the visual field, allows them to consciously adjust their
movements to reduce errors in subsequent attempts.13 Nonconscious
processes include sensorimotor realignment, proprioceptive recalibration, and
error correction. Sensorimotor realignment is the automatic adjustment of the
relationship between sensory inputs (visual and proprioceptive) and motor
outputs. The brain automatically recalibrates motor commands to align the
perceived visual location with the actual target location. This process occurs
without conscious awareness and involves updating the internal model of the
body and the environment.3
Proprioceptive
recalibration automatically adjusts proprioceptive signals to maintain accurate
motor control. The brain updates proprioceptive information to align with the
new visual input, ensuring that the updated sensory information accurately
guides movements. This process occurs without conscious awareness.3 Similar, error
correction is the automatic adjustment of motor commands based on feedback from
performance errors. The brain uses feedback from errors to adjust future
movements automatically. This process involves the cerebellum and other neural
structures that operate without conscious awareness.49 In PA, when
the induced displacement and the resulting initial errors are small, there is
minimal conscious involvement, with the correction being driven by more
automatic error correction processes.50
9. Neural bases of prism adaptation
The possible neural involvement in different processes
of PA has also been studied. Four main brain areas have been related, the
parietal cortex, the frontal cortex, the cerebellum, and the basal ganglia.
9.1. The parietal cortex
Evidence from studies on patients provides significant
insights into the role of the parietal cortex. For example, a patient with
damage to both sides of the Posterior Parietal Cortex (PPC) showed a clear
difference in their performance on PA tasks, suggesting that different circuits
within the PPC are responsible for strategic control and adaptation processes
depending on the hand used.43 Imaging and stimulation studies
further support the involvement of the PPC in PA. Repetitive Transcranial
Magnetic Stimulation (rTMS) applied to the right PPC
has been shown to decrease the magnitude of adaptation aftereffects in
proprioceptive and visuo-proprioceptive tasks, highlighting the role of PPC in
the realignment mechanism.51 Imaging studies demonstrated
changes in activation patterns and functional connectivity within a cerebello-parietal network during the adaptation process.1,52 Dynamic
changes in brain activity during PA revealed a complex interplay between
parietal, cerebellar, and temporal regions. The PPC shows significant
activation during different phases of prism exposure.43,51 These findings
collectively underscore the PPC's integral role in both the sensory-motor
recalibration and cognitive realignment aspects of PA.
9.2. The frontal lobe
Particularly
the prefrontal cortex (PFC), and the primary motor cortex (M1) are integral to
the process of prism PA. The PFC is involved in the strategic planning and
error correction necessary for the initial recalibration phase of PA, where
rapid adjustments are made to counteract the visual distortion introduced by
the prisms (Exposure phase;). As previously mentioned, this phase is
characterized by a fast reduction in terminal error, allowing individuals to
adapt their motor responses quickly.52
On the other hand, M1 is crucial for
the slower sensorimotor adaptation process, involving the update of internal
models for accurate reaching and motor memory consolidation.53 Studies have
shown that stimulating M1 can improve the consolidation of sensorimotor
aftereffects, indicating that M1 strengthens the temporal synchrony between
motor commands and synaptic potentiation.1 Additionally,
PA enhances the activity of intact fronto-parietal
areas, including regions within the frontal lobe, in both hemispheres of
neglected patients, leading to improved visuospatial performance.54 This bilateral
recruitment of fronto-parietal networks may
counteract the pathological changes in these networks caused by unilateral
right hemisphere damage. Furthermore, patients with frontal lobe lesions
exhibit impaired performance on PA tasks, highlighting the importance of the
frontal lobe in visuo-motor learning and adaptation.55 Additional studies
have emphasized the role of the frontal cortex in error detection and
correction during PA, emphasizing its role in the dynamic adjustments required
for successful adaptation.56 Overall, integrating the frontal
lobe and M1 facilitates the dynamic adjustments and long-term adaptations
necessary for successful PA, highlighting their essential roles in visuo-motor
plasticity and spatial cognition.
9.3. The cerebellum
The cerebellum plays a pivotal role in recalibrating
visuomotor coordination in response to the altered visual input during PA.
Studies have demonstrated that cerebellar lesions impair the ability to adapt
to prisms, indicating the cerebellum's involvement in error correction and
motor learning.57,58 Specifically,
the cerebellum is essential for the recalibration and spatial realignment
processes necessary for accurate motor adjustments.59 Neuroimaging
and neurostimulation studies further support the cerebellum's role in PA by
demonstrating its interaction with the motor cortex and parietal regions during
the adaptation process.53 Additionally, patients with
cerebellar degeneration exhibit increased error sensitivity and impaired
learning from abrupt perturbations, highlighting the cerebellum's role in
adapting motor commands to gradual changes.60
The
cerebellum's contribution to PA is also evident in its involvement in
short-term sensorimotor memories that facilitate rapid recalibration of limb
position when visual input is altered.58 Furthermore,
studies on patients with spinocerebellar ataxia type 2 (SCA2) reveal
significant impairments in PA, suggesting that cerebellar degeneration disrupts
the neural systems involved in spatial realignment.61 Quantitative
evaluations of cerebellar-dependent motor learning through PA tasks have shown
that patients with cerebellar diseases have lower adaptability indices than
healthy controls, underscoring the cerebellum's critical role in motor
learning.62 Overall, the cerebellum's involvement in PA
encompasses error correction, spatial realignment, and the maintenance of
sensorimotor memories, making it indispensable for effective visuomotor
coordination.
9.4. The basal ganglia
These are a group of subcortical nuclei that play a
crucial role in motor control and learning, and their dysfunction is a hallmark
of neurodegenerative diseases such as Parkinson's disease (PD) and Huntington's
disease (HD).63 Stern et al. found that a group of PD patients could
adapt to the presence of prisms.64 The only difference noted was a
more intense compensatory response when using prisms and aftereffects from the
PD patients. Subsequent studies by Fernandez-Ruiz et al. confirmed these
findings. They extended them to HD patients.65 These studies
suggest that the basal ganglia are involved in the cognitive processes that
support visuomotor learning. In contrast, Swainson et al. found that PD
patients adapted to visual perturbation more slowly than healthy controls, but
their aftereffects remained intact.66
This indicates
that the explicit, error-driven processes involved in PA are impaired in PD,
while the implicit learning processes remain unaffected. Other studies with
patients with HD have also demonstrated that those patients are profoundly
impaired in non-error-based learning tasks.67 This
highlights the basal ganglia's critical role in motor learning and adaptation
processes that do not rely on direct error correction. On the other hand,
Paulsen et al. found that HD patients could not adapt during the prism phase.68 This inability
was related to the severity of their dementia, suggesting again that the
impairment in patients with basal ganglia deficits is more related to cognitive
processes than to procedural learning. The conflicting results can be
reconciled by considering the specific methodologies used in each study to
measure the adaptation. Some studies use throwing an object, while others use
pointing with the index finger.65,68 These results
suggest that although basal ganglia deficits affect some processes related to
procedural learning, their lesion does not prevent the patients from adapting
to the prisms.
10. Clinical applications of prism
adaptation
Although the PA task seems to be only used for basic
research, it has also been used for applied purposes and as part of the
rehabilitation process for specific medical conditions, with applications in
patients with strabismus and spatial negligence standing out.
10.1. Strabismus
Strabismus is a medical condition in which the eyes
are not aligned, causing the person to be unable to focus on stimuli
binocularly. Some symptoms include double vision and uncoordinated perception
of stimuli.69 There are different types of strabismus, with the
more common ones being esotropia (characterized by one eye moving towards the
midline), exotropia (one eye moving laterally towards the opposite direction of
esotropia), hypotropia (one eye moving into the inferior portion), and
hypertropia (one eye moving to the superior portion of the eye).69 Prism
adaptation (PA) is used to estimate which muscles need to be fixed and how to
fix them.70,71
10.2. Spatial neglect
Spatial neglect is a neuropsychological condition
caused by a lesion, typically in the right hemisphere, but it can also be
generated by lesions in the left hemisphere.72,73 This condition
leads to changes in the levels of consciousness, attention, and perception,
focusing on the hemifield contralateral to the injury.74 It was
previously believed that spatial neglect was caused by hyperactivity in the
non-lesioned hemisphere, but this hypothesis has been proven false.75,76 Clinical signs
of spatial neglect include anosognosia (inability to recognize their illness),
spatial disorientation, and motor-intentional issues.74
Patients
working with a modified version of the PA have shown signs of recovery,
especially in body-midline neglect.77 This indicates that the PA task can
help the patients to move their attention focus (top-down) voluntarily but does
not help them process the visual field based on stimuli characteristics
(bottom-up).78 A group of researchers from the
Czech Republic developed a new version of the PA task for intense
rehabilitation programs. The patients in the intensive program showed
significant improvement sessions after only 10 sessions, while the group that
did not receive the treatment did not improve their spatial neglect.79
11. Discussion and future directions
This review presents an overview of research on PA, a
phenomenon crucial for understanding sensorimotor integration and neural
plasticity. Our review includes the historical context of PA research dating
back to the late 19th century, and the basic principles involving a multi-phase
process that enables the study of sensorimotor adaptation mechanisms. At the
neural level, the parietal cortex, frontal cortex, cerebellum, and basal
ganglia play essential roles in cognitive processes like sensory-motor
recalibration, strategic control, error correction, and motor learning. Age
plays a role in sensorimotor integration, and PA provides insights into the
impact of neurodevelopment maturation of sensorimotor and cognitive processes.
These previous aspects and many others mentioned in this review demonstrate
that PA is a flexible tool for investigating many aspects of sensorimotor integration
and the interplay between cognitive and motor processes, and with technical
developments for clinical applications.
Future research
directions should include exploring dynamic brain region interactions,
potential rehabilitation applications besides spatial neglect, and long-term
effects of PA, clarifying with more detail the impact of sex and sex
differentiation for PA, and leveraging technological advances to elucidate
precise molecular mechanisms and their effects in cognitive processes involved
in PA. By continuing to explore PA, researchers can continue revealing the
intricate machinery of the neural circuits and how these circuits are
transformed into behavior and a personal experience; sensorimotor integration
requires a more profound understanding to have a comprehensive understanding of
human behavior.
12. Conflicts of Interest
The authors declare no conflict of interest. This work
received funding from CONAHCYT–Mexico grant no. A1-S-10669 and PAPIIT-UNAM
grant no. IN214122 given to Juan Fernandez-Ruiz, and DGAPA-UNAM postdoctoral
scholarship program to J. Eduardo Reynoso-Cruz.
13. Contributions
All authors contributed equally to the writing,
editing, and proofreading of all the manuscript versions. We acknowledge using
AI tools for spelling and grammar checks in preparing this manuscript. All
authors read and approved the final manuscript.
14. References
1. Panico, F., Rossetti, Y., & Trojano, L. (2020). On the mechanisms underlying Prism
Adaptation: A review of neuro-imaging and
neuro-stimulation studies. Cortex, 123(November), 57–71. https://doi.org/10.1016/j.cortex.2019.10.003
2. Fernandez-Ruiz, J., & Díaz, R. (1999). Prism Adaptation and
Aftereffect: Specifying the Properties of a Procedural Memory System. Learning
& Memory, 6(1), 47–53. https://doi.org/10.1101/lm.6.1.47
3. Redding, G. M., & Wallace, B. (2006).
Generalization of prism adaptation. Journal of Experimental Psychology: Human
Perception and Performance, 32(4), 1006–1022. https://doi.org/10.1037/0096-1523.32.4.1006
4. Cohen, H. B. (1966). Some Critical Factors in
Prism-Adaptation. The American Journal of Psychology, 79(2), 285. https://doi.org/10.2307/1421136
5. Redding, G. M., & Wallace, B. (2002). Strategie Calibration and Spatial Alignment: A Model From Prism Adaptation. Journal of Motor Behavior, 34(2),
126–138. https://doi.org/10.1080/00222890209601935
6. Fernandez-Ruiz, J., Diaz, R., Moreno-Briseño,
P., Campos-Romo, A., & Ojeda, R. (2006). Rapid Topographical Plasticity of
the Visuomotor Spatial Transformation. The Journal of Neuroscience, 26(7),
1986–1990. https://doi.org/10.1523/JNEUROSCI.4023-05.2006
7. von Hofsten, C.
(2004). An action perspective on motor development. Trends in Cognitive
Sciences, 8(6), 266–272. https://doi.org/10.1016/j.tics.2004.04.002
8. McDonnell, P. M., & Abraham, W. C. (1979).
Adaptation to Displacing Prisms in Human Infants. Perception, 8(2), 175–185. https://doi.org/10.1068/p080175
9. McDonnell, P. M., & Abraham, W. C. (1981).
A Longitudinal
Study of Prism Adaptation in Infants from Six to Nine Months of Age. Child
Development, 52(2), 463–469. https://doi.org/10.1111/j.1467-8624.1981.tb03069.x
10. Gómez-Moya, R., Díaz, R., & Fernandez-Ruiz,
J. (2016). Different visuomotor processes maturation rates in children support
dual visuomotor learning systems. Human Movement Science, 46, 221–228. https://doi.org/10.1016/j.humov.2016.01.011
11. Dekker, T., & Lisi, M. (2020). Sensory
Development: Integration before Calibration. Current Biology, 30(9), R409–R412. https://doi.org/10.1016/j.cub.2020.02.060
12. Gómez-Moya, R., Diaz, R., Vaca-Palomares, I.,
& Fernandez-Ruiz, J. (2020). Procedural and Strategic Visuomotor Learning Deficits
in Children With Developmental Coordination Disorder.
Research Quarterly for Exercise and Sport, 91(3), 386–393. https://doi.org/10.1080/02701367.2019.1675852
13. Little, C. E., Dukelow, S. P., Schneider, K.
J., & Emery, C. A. (2022). Using a Prism Paradigm to Identify Sensorimotor
Impairment in Youth Following Concussion. Journal of Head Trauma
Rehabilitation, 37(4), 189–198. https://doi.org/10.1097/HTR.0000000000000690
14. Tottenham, L. S., & Saucier, D. M. (2004).
Throwing Accuracy during Prism Adaptation: Male Advantage for Throwing Accuracy
is Independent of Prism Adaptation Rate. Perceptual and Motor Skills,
98(3_suppl), 1449–1455. https://doi.org/10.2466/pms.98.3c.1449-1455
15. Moreno-Briseño, P., Díaz, R., Campos-Romo, A.,
& Fernandez-Ruiz, J. (2010). Sex-related differences in motor learning and
performance. Behavioral and Brain Functions, 6(1), 74. https://doi.org/10.1186/1744-9081-6-74
16. Elliott, D. (1982). Gender Differences in Prism
Adaptation as Influenced by a Secondary Task. Perceptual and Motor Skills,
54(3), 795–799. https://doi.org/10.2466/pms.1982.54.3.795
17. Aziz, J. R., MacLean, S. J., Krigolson, O. E., & Eskes, G.
A. (2020). Visual Feedback Modulates Aftereffects and Electrophysiological
Markers of Prism Adaptation. Frontiers in Human Neuroscience, 14. https://doi.org/10.3389/fnhum.2020.00138
18. Scheffels, J. F.,
Eling, P., & Hildebrandt, H. (2024). Is recalibration more important than
realignment in prism adaptation training for visuospatial neglect? A randomized
controlled trial. Neuropsychological Rehabilitation, 1–22. https://doi.org/10.1080/09602011.2024.2314877
19. Cohen, M. M. (1967). Continuous versus Terminal
Visual Feedback in Prism Aftereffects. Perceptual and Motor Skills,
24(3_suppl), 1295–1302. https://doi.org/10.2466/pms.1967.24.3c.1295
20. Chapman, H. L., Eramudugolla,
R., Gavrilescu, M., Strudwick, M. W., Loftus, A., Cunnington, R., &
Mattingley, J. B. (2010). Neural mechanisms underlying spatial realignment
during adaptation to optical wedge prisms. Neuropsychologia,
48(9), 2595–2601. https://doi.org/10.1016/j.neuropsychologia.2010.05.006
21. Norris, S. A., Greger, B. E., Martin, T. A.,
& Thach, W. T. (2001). Prism adaptation of reaching is dependent on the
type of visual feedback of hand and target position. Brain Research, 905(1–2),
207–219. https://doi.org/10.1016/S0006-8993(01)02552-5
22. Kitazawa, S., Kohno, T., & Uka, T. (1995).
Effects of delayed visual information on the rate and amount of prism
adaptation in the human. The Journal of Neuroscience, 15(11), 7644–7652. https://doi.org/10.1523/JNEUROSCI.15-11-07644.1995
23. Hamilton, C. R., & Bossom, J. (1964). Decay
of prism aftereffects. Journal of Experimental Psychology, 67(2), 148–150. https://doi.org/10.1037/h0047777
24. Redding, G. M., & Wallace, B. (2008). Intermanual Transfer of Prism Adaptation. Journal of Motor
Behavior, 40(3), 246–264. https://doi.org/10.3200/JMBR.40.3.246-264
25. Taub, E., & Goldberg, I. A. (1973). Prism
Adaptation: Control of Intermanual Transfer by
Distribution of Practice. Science,
180(4087), 755–757. https://doi.org/10.1126/science.180.4087.755
26. Fernández-Ruiz,
J., Hall-Haro, C., Díaz, R., Mischner, J., Vergara, P., & Lopez-Garcia, J.
C. (2000). Learning Motor
Synergies Makes Use of Information on Muscular Load. Learning & Memory,
7(4), 193–198. https://doi.org/10.1101/lm.7.4.193
27. Tuan, K.-M., & Jones, R. (1997). Adaptation
to the prismatic effects of refractive lenses. Vision Research, 37(13),
1851–1857. https://doi.org/10.1016/S0042-6989(96)00325-2
28. Redding, G. M., & Wallace, B. (2011). Prism
adaptation in left-handers. Attention, Perception, & Psychophysics,
73(6), 1871–1885. https://doi.org/10.3758/s13414-011-0147-1
29. Stratton, G. M.
(1896). Some
preliminary experiments on vision without inversion of the retinal image.
Psychological Review, 3(6), 611–617. https://doi.org/10.1037/h0072918
30. Giora, E., & Büttemeyer,
W. (2020). Roberto Ardigò as a forerunner of George
M. Stratton's experiments on inverted vision. History of Psychology, 23(1),
26–39. https://doi.org/10.1037/hop0000126
31. Harris, C. S. (1963). Adaptation to displaced
vision: Visual, motor, or proprioceptive change? Science, 140(3568), 812–813. https://doi.org/10.1126/science.140.3568.812
32. Harris, C. S. (1965). Perceptual adaptation to
inverted, reversed, and displaced vision. Psychological Review, 72(6), 419–444.
https://doi.org/10.1037/h0022616
33. Held, R., & Gottlieb, N. (1958). Technique
for Studying Adaptation to Disarranged Hand-Eye Coordination. Perceptual and
Motor Skills, 8(3), 83–86. https://doi.org/10.2466/pms.1958.8.3.83
34. Weinstein, S., Richlin, M., Weisinger, M.,
& Fisher, L. (1967). Adaptation to visual and nonvisual rearrangement. NASA
CR-663. NASA Contractor Report. NASA CR. United States. National Aeronautics
and Space
Administration, 1–25.
35. McLaughlin, S. C., & Webster, R. G. (1967).
Changes in straight-ahead eye position during adaptation to wedge prisms. Perception & Psychophysics,
2(1), 37–44. https://doi.org/10.3758/BF03210064
36. Newport, R., & Schenk, T. (2012). Prisms and
neglect: What have we learned? Neuropsychologia, 50(6), 1080–1091. https://doi.org/10.1016/j.neuropsychologia.2012.01.023
37. Sainburg, R. L.,
& Mutha, P. K. (2016). Error Detection Is Critical for Visual-Motor
Corrections. Motor Control, 20(2), 187–194. https://doi.org/10.1123/mc.2015-0022
38. Redding, G. M., & Wallace, B. (2002). Strategie Calibration and Spatial Alignment: A Model From Prism Adaptation. Journal of Motor Behavior, 34(2),
126–138. https://doi.org/10.1080/00222890209601935
39. Sülzenbrück, S.,
& Heuer, H. (2009). Functional independence of explicit and implicit motor
adjustments. Consciousness and Cognition, 18(1), 145–159. https://doi.org/10.1016/j.concog.2008.12.001
40. Henriques, D. Y. P., Medendorp, W. P., Khan, A.
Z., & Crawford, J. D. (2002). Visuomotor transformations for eye-hand
coordination. In Progress in Brain Research (Vol. 140, pp. 329–340). https://doi.org/10.1016/S0079-6123(02)40060-X
41. Wong, A. L., Haith, A. M., & Krakauer, J.
W. (2015). Motor Planning. The Neuroscientist, 21(4), 385–398. https://doi.org/10.1177/1073858414541484
42. Diedrichsen, J., & Kornysheva,
K. (2015). Motor skill learning between selection and execution. Trends in
Cognitive Sciences, 19(4), 227–233. https://doi.org/10.1016/j.tics.2015.02.003
43. Newport, R., & Jackson, S. R. (2006).
Posterior parietal cortex and the dissociable components of prism adaptation. Neuropsychologia, 44(13), 2757–2765. https://doi.org/10.1016/j.neuropsychologia.2006.01.007
44. Ackerley, R., Borich, M., Oddo, C. M., &
Ionta, S. (2016). Insights and Perspectives on Sensory-Motor Integration and
Rehabilitation. Multisensory Research, 29(6–7), 607–633. https://doi.org/10.1163/22134808-00002530
45. Redding, G. M., Rossetti, Y., & Wallace, B.
(2005). Applications of prism adaptation: a tutorial in theory and method.
Neuroscience & Biobehavioral Reviews, 29(3), 431–444. https://doi.org/10.1016/j.neubiorev.2004.12.004
46. Hanajima, R., Shadmehr, R., Ohminami, S.,
Tsutsumi, R., Shirota, Y., Shimizu, T., Tanaka, N., Terao, Y., Tsuji, S., Ugawa, Y., Uchimura, M., Inoue, M., & Kitazawa, S.
(2015). Modulation of error-sensitivity during a prism adaptation task in
people with cerebellar degeneration. Journal of Neurophysiology, 114(4),
2460–2471. https://doi.org/10.1152/jn.00145.2015
47. Prablanc, C., Panico,
F., Fleury, L., Pisella, L., Nijboer,
T., Kitazawa, S., & Rossetti, Y. (2020). Adapting terminology: clarifying
prism adaptation vocabulary, concepts, and methods. Neuroscience Research, 153,
8–21. https://doi.org/10.1016/j.neures.2019.03.003
48. McIntosh, R. D., Rossetti, Y., & Milner, A.
D. (2002). Prism adaptation improves chronic visual and haptic neglect: A
single case study. Cortex, 38(3), 309–320. https://doi.org/10.1016/S0010-9452(08)70662-2
49. Martin, T. A., Keating, J. G., Goodkin, H. P.,
Bastian, A. J., & Thach, W. T. (1996). Throwing while looking through
prisms: I. Focal olivocerebellar lesions impair adaptation. Brain, 119(4), 1183–1198. https://doi.org/10.1093/brain/119.4.1183
50. Michel, C., Pisella,
L., Prablanc, C., Rode, G., & Rossetti, Y.
(2007). Enhancing
Visuomotor Adaptation by Reducing Error Signals: Single-step (Aware) versus
Multiple-step (Unaware) Exposure to Wedge Prisms. Journal of Cognitive
Neuroscience, 19(2), 341–350. https://doi.org/10.1162/jocn.2007.19.2.341
51. Terruzzi, S.,
Crivelli, D., Pisoni, A., Mattavelli, G., Romero
Lauro, L. J., Bolognini, N., & Vallar, G. (2021). The role of the right
posterior parietal cortex in prism adaptation and its aftereffects. Neuropsychologia, 150(June 2020), 107672. https://doi.org/10.1016/j.neuropsychologia.2020.107672
52. Boukrina, O., &
Chen, P. (2021). Neural Mechanisms of Prism Adaptation in Healthy Adults and Individuals
with Spatial Neglect after Unilateral Stroke: A Review of fMRI Studies. Brain Sciences, 11(11), 1468. https://doi.org/10.3390/brainsci11111468
53. Panico, F., Fleury,
L., Trojano, L., & Rossetti, Y. (2021). Prism
Adaptation in M1. Journal of Cognitive Neuroscience, 33(4), 563–573. https://doi.org/10.1162/jocn_a_01668
54. Saj, A., Cojan, Y.,
Assal, F., & Vuilleumier, P. (2019). Prism
adaptation effect on neural activity and spatial neglect depend on brain lesion
site. Cortex, 119, 301–311. https://doi.org/10.1016/j.cortex.2019.04.022
55. Canavan, A. G. M., Passingham, R. E., Marsden,
C. D., Quinn, N., Wyke, M., & Polkey, C. E. (1990). Prism adaptation and
other tasks involving spatial abilities in patients with Parkinson's disease,
patients with frontal lobe lesions and patients with unilateral temporal
lobectomies. Neuropsychologia, 28(9), 969–984. https://doi.org/10.1016/0028-3932(90)90112-2
56. Luauté, J., Schwartz,
S., Rossetti, Y., Spiridon, M., Rode, G., Boisson,
D., & Vuilleumier, P. (2009). Dynamic Changes
in Brain Activity during Prism Adaptation. The Journal of Neuroscience, 29(1),
169–178. https://doi.org/10.1523/JNEUROSCI.3054-08.2009
57. Goedert, K. M., Zhang, J. Y., & Barrett, A.
M. (2015). Prism adaptation and spatial neglect: The need for dose-finding
studies. Frontiers in Human Neuroscience, 9(APR), 1–7. https://doi.org/10.3389/fnhum.2015.00243
58. Baizer, J. S., Kralj-Hans, I., &
Glickstein, M. (1999). Cerebellar Lesions and Prism Adaptation in Macaque
Monkeys. Journal of Neurophysiology, 81(4), 1960–1965. https://doi.org/10.1152/jn.1999.81.4.1960
59. Panico, F., Sagliano,
L., Grossi, D., & Trojano, L. (2016). Cerebellar
cathodal tDCS interferes with recalibration and
spatial realignment during prism adaptation procedure in healthy subjects.
Brain and Cognition, 105, 1–8. https://doi.org/10.1016/j.bandc.2016.03.002
60. Hanajima, R., Shadmehr, R., Ohminami, S.,
Tsutsumi, R., Shirota, Y., Shimizu, T., Tanaka, N., Terao, Y., Tsuji, S., Ugawa, Y., Uchimura, M., Inoue, M., & Kitazawa, S.
(2015). Modulation of error-sensitivity during a prism adaptation task in
people with cerebellar degeneration. Journal of Neurophysiology, 114(4),
2460–2471. https://doi.org/10.1152/jn.00145.2015
61. Fernandez-Ruiz, J., Velásquez-Perez, L., Díaz,
R., Drucker-Colín, R., Pérez-González, R., Canales,
N., Sánchez-Cruz, G., Martínez-Góngora, E., Medrano,
Y., Almaguer-Mederos, L., Seifried, C., & Auburger,
G. (2007). Prism adaptation in spinocerebellar ataxia type 2. Neuropsychologia, 45(12), 2692–2698. https://doi.org/10.1016/j.neuropsychologia.2007.04.006
62. Hashimoto, Y., Honda, T., Matsumura, K., Nakao,
M., Soga, K., Katano, K., Yokota, T., Mizusawa, H., Nagao, S., & Ishikawa,
K. (2015). Quantitative Evaluation of Human Cerebellum-Dependent Motor Learning
through Prism Adaptation of Hand-Reaching Movement. PLOS ONE, 10(3), e0119376. https://doi.org/10.1371/journal.pone.0119376
63. Andres, D. S., Merello, M., & Darbin, O. (2017). Editorial: Pathophysiology of the Basal
Ganglia and Movement Disorders: Gaining New Insights from
Modeling and Experimentation, to Influence the Clinic. Frontiers in
Human Neuroscience, 11(September), 10–12. https://doi.org/10.3389/fnhum.2017.00466
64. Stern, Y., Mayeux, R., Hermann, A., &
Rosen, J. (1988). Prism adaptation in Parkinson's disease. Journal of
Neurology, Neurosurgery & Psychiatry, 51(12), 1584–1587. https://doi.org/10.1136/jnnp.51.12.1584
65. Fernandez‐Ruiz, J., Diaz, R., Hall‐Haro, C., Vergara, P., Mischner, J., Nuñez, L., Drucker‐Colin, R., Ochoa, A., & Alonso,
M. E. (2003). Normal prism adaptation but reduced aftereffect in basal ganglia
disorders using a throwing task. European Journal of Neuroscience, 18(3), 689–694. https://doi.org/10.1046/j.1460-9568.2003.02785.x
66. Swainson, A., Woodward, K. M., Boca, M.,
Rolinski, M., Collard, P., Cerminara, N. L., Apps, R., Whone,
A. L., & Gilchrist, I. D. (2023). Slower rates of prism adaptation but
intact aftereffects in patients with early to mid-stage Parkinson's disease. Neuropsychologia, 189(May), 108681. https://doi.org/10.1016/j.neuropsychologia.2023.108681
67. Gutierrez‐Garralda, J. M., Moreno‐Briseño, P., Boll, M., Morgado‐Valle, C., Campos‐Romo, A., Diaz, R., & Fernandez‐Ruiz, J. (2013). The effect of
Parkinson's disease and Huntington's disease on human visuomotor learning.
European Journal of Neuroscience, 38(6), 2933–2940. https://doi.org/10.1111/ejn.12288
68. Paulsen, J. S., Butters, N., Salmon, D. P.,
Heindel, W. C., & Swenson, M. R. (1993). Prism adaptation in Alzheimer's
and Huntington's disease. Neuropsychology, 7(1), 73–81. https://doi.org/10.1037/0894-4105.7.1.73
69. Qanat, A. S., Alsuheili,
A., Alzahrani, A., Faydhi, A. A., Albadri,
A., & Alhibshi, N. (2020). Assessment of
Different Types of Strabismus Among Pediatric Patients in a Tertiary Hospital
in Jeddah. Cureus, 12(12), 1–7. https://doi.org/10.7759/cureus.11978
70. Gietzelt, C., Fricke,
J., Neugebauer, A., & Hedergott, A. (2022). Prism
adaptation test before strabismus surgery in patients with decompensated
esophoria and decompensated microesotropia.
International Ophthalmology, 42(7), 2195–2204. https://doi.org/10.1007/s10792-022-02219-3
71. Takada, R., Matsumoto, F., Wakayama, A.,
Numata, T., Tanabe, F., Abe, K., & Kusaka, S. (2021). Efficacies of
preoperative prism adaptation test and monocular occlusion for detecting the
maximum angle of deviation in intermittent exotropia. BMC Ophthalmology, 21(1),
304. https://doi.org/10.1186/s12886-021-02060-9
72. Karnath, H. O., & Rorden,
C. (2012). The anatomy of spatial neglect. Neuropsychologia, 50(6), 1010–1017. https://doi.org/10.1016/j.neuropsychologia.2011.06.027
73. Li, K., & Malhotra, P. A. (2015). Spatial
neglect. Practical Neurology, 15(5), 333–339. https://doi.org/10.1136/practneurol-2015-001115
74. Bartolomeo, P., D’Erme,
P., Perri, R., & Gainotti, G. (1998). Perception
and action in hemispatial neglect. Neuropsychologia, 36(3), 227–237. https://doi.org/10.1016/S0028-3932(97)00104-8
75. Bagattini, C., Mele, S., Brignani, D., & Savazzi, S. (2015). No causal effect of left hemisphere
hyperactivity in the genesis of neglect-like behavior. Neuropsychologia,
72, 12–21. https://doi.org/10.1016/j.neuropsychologia.2015.04.010
76. Nakamura, K., Oga, T., Takahashi, M.,
Kuribayashi, T., Kanamori, Y., Matsumiya, T., Maeno,
Y., & Yamamoto, M. (2012). Symmetrical hemispheric priming in spatial
neglect: A hyperactive left-hemisphere phenomenon? Cortex, 48(4), 421–428. https://doi.org/10.1016/j.cortex.2010.12.008
77. Rossetti, Y., Rode, G., Pisella,
L., Farné, A., Li, L., Boisson, D., & Perenin, M.-T. (1998). Prism adaptation to a rightward
optical deviation rehabilitates left hemispatial
neglect. Nature, 395(6698), 166–169. https://doi.org/10.1038/25988
78. Nijboer, T. C. W. W.,
Mcintosh, R. D., Nys, G. M. S. S., Dijkerman, H. C.,
David Milner, A., Nijboer, C. W., & Milner, A. D.
(2008). Prism adaptation improves voluntary but not automatic orienting in
neglect. NeuroReport, 19(3), 293–298. https://doi.org/10.1097/WNR.0b013e3282f4cb67
79. Vilimovsky, T., Chen,
P., Hoidekrova, K., Petioky,
J., & Harsa, P. (2021). Prism adaptation treatment to address spatial
neglect in an intensive rehabilitation program: A randomized pilot and
feasibility trial. PLOS ONE, 16(1), e0245425. https://doi.org/10.1371/journal.pone.0245425
Enlaces refback
- No hay ningún enlace refback.
eNeurobiología es una revista de publicación continua editada por el Instituto de Investigaciones Cerebrales de la Universidad Veracruzana. Estamos ubicados en Av. Dr. Luis Castelazo Ayala, s/n, colonia Industrial Ánimas, C.P. 91190, Xalapa-Enríquez, Veracruz, México. Teléfono: 8418900 ext. 13062, https://www.uv.mx/iice; eneurobiologia@uv.mx. Reserva de Derechos al Uso Exclusivo 04-2023-061314100600-102, otorgada por el Instituto Nacional de Derechos de Autor. ISSN: 2007-3054. Esta obra está bajo una Licencia Attribution-NonCommercial 4.0 International