Learning-related fMRI activation associated with a rotational visuo-motor transformation

Graydon, Francis X.; Friston, Karl J.; Thomas, Christopher G.; Brooks, V. B.; Menon, Ravi S.

doi:10.1016/j.cogbrainres.2004.09.007

Cited by 100 publications

(91 citation statements)

References 32 publications

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“…This view is supported by clinical studies, which found that adaptation is often reduced or abolished in patients with cerebellar disease (Deuschl et al 1996;Diedrichsen et al 2005;Gauthier et al 1979;Martin et al 1996;Maschke et al 2004;Tseng et al 2007;Weiner et al 1983). Further support comes from functional neuroimaging studies, which observed an increase of cerebellar activity during an adaptation task (e.g., Flament et al 1996;Graydon et al 2005;Imamizu et al 2000;Krakauer et al 2004;Krebs et al 1998;Lang et al 1988).…”

Section: Introductionsupporting

confidence: 56%

The effect of cerebellar cortical degeneration on adaptive plasticity and movement control

2008

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Clinical and neuroimaging studies provide converging evidence that the cerebellum plays an important role for sensorimotor adaptation by participating in the adaptive process per se, and/or by evaluating motor performance errors as a prerequisite for adaptation. Recent experimental evidence suggests that error signals pertinent to adaptation are related to sensory prediction rather than to online corrections (Tseng et al. in J Neurophysiol 98(1):54-62, 2007). To further elucidate the role of the cerebellum, the present study uses a multiple regression approach to separate out three independent determinants of adaptive success. Seventeen patients with cerebellar atrophy but without extra-cerebellar lesions, and 17 healthy, sex-and age-matched controls participated. Both subject groups performed center-out pointing movements before, during, and after exposure to 60°rotated visual feedback. From the registered data, we quantified four indicators of adaptive success (adaptive improvement, retention without feedback, intermanual transfer, and de-adaptation under normal feedback), as well as five measures of motor performance (reaction time, peak velocity, movement time, response variability, and ability for online error corrections). The variance of each adaptation indicator was then partitioned into three components, one related to subject group but not to motor performance, a second related to group and motor performance, and a third related to motor performance but not to group. In accordance with previous work, adaptation and motor performance were degraded in patients. The deficit was similar in magnitude for all four adaptation indicators, which suggests that adaptive recalibration rather than strategic control were affected in our patients. No adaptation indicator shared statistically significant variance with group alone; we therefore found no evidence for cerebellar circuitry dedicated to adaptation but not motor performance. Three indicators shared significant variance jointly with group and motor performance; this suggests that the cerebellar contribution to motor performance is related to adaptive success. All four indicators shared significant variance with motor performance alone; this indicates that extracerebellar contributions to motor performance are also related to adaptive success. In conclusion, our data support the view that neural structures inside and outside the cerebellum are processing motor performance-related signals as a prerequisite for adaptation, but provide no evidence for a cerebellar structure related exclusively to adaptation.

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Section: Introductionsupporting

confidence: 56%

The effect of cerebellar cortical degeneration on adaptive plasticity and movement control

2008

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“…Early positron emission tomography (PET) studies of two-dimensional (2D) reaching under viscous resistance revealed a learning-dependent increase in regional cerebral blood flow (rCBF) to the left dorsolateral prefrontal (DLPFC) cortex and the bilateral putamen that, on retention testing, was reduced in the DLPFC but increased in the left posterior parietal, dorsal premotor, and right anterior cerebellar cortices (Nezafat et al 2001; Holcomb 1997, 1999). Recruitment of frontal-parietal, basal ganglia, and cerebellar networks is consistent with a breadth of studies using various visuomotor learning/calibration paradigms Floyer-Lea and Matthews 2004;Ghilardi et al 2000;Graydon et al 2005;Imamizu et al 2000;Inoue et al 2000;Krakauer et al 2004;Martin et al 1996;Miall and Jenkinson 2005;Smith and Shadmehr 2005) implicating these areas in forming specific functional interactions for adaptive motor control.The degree of anatomical and functional segregation within this network for different forms of adaptation remains poorly understood. A recent blocked functional magnetic resonance imaging (fMRI) study partly addressed the issue of anatomical specificity to on-line error detection/correction as subjects made 2D reaching movements during directionally inconsistent viscous and visual perturbations .…”

mentioning

confidence: 60%

BOLD Coherence Reveals Segregated Functional Neural Interactions When Adapting to Distinct Torque Perturbations

Tunik

Schmitt²,

Grafton³

2007

Journal of Neurophysiology

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Tunik E, Schmitt PJ, Grafton ST. BOLD coherence reveals segregated functional neural interactions when adapting to distinct torque perturbations. J Neurophysiol 97: [2107][2108][2109][2110][2111][2112][2113][2114][2115][2116][2117][2118][2119][2120] 2007. First published January 3, 2007; doi:10.1152/jn.00405.2006. In the natural world, we experience and adapt to multiple extrinsic perturbations. This poses a challenge to neural circuits in discriminating between different context-appropriate responses. Using event-related fMRI, we characterized the neural dynamics involved in this process by randomly delivering a position-or velocity-dependent torque perturbation to subjects' arms during a target-capture task. Each perturbation was color-cued during movement preparation to provide contextual information. Although trajectories differed between perturbations, subjects significantly reduced error under both conditions. This was paralleled by reduced BOLD signal in the right dentate nucleus, the left sensorimotor cortex, and the left intraparietal sulcus. Trials included "NoGo" conditions to dissociate activity related to preparation from execution and adaptation. Subsequent analysis identified perturbationspecific neural processes underlying preparation ("NoGo") and adaptation ("Go") early and late into learning. Between-perturbation comparisons of BOLD magnitude revealed negligible differences for both preparation and adaptation trials. However, a network-level analysis of BOLD coherence revealed that by late learning, response preparation ("NoGo") was attributed to a relative focusing of coherence within cortical and basal ganglia networks in both perturbation conditions, demonstrating a common network interaction for establishing arbitrary visuomotor associations. Conversely, late-learning adaptation ("Go") was attributed to a focusing of BOLD coherence between a cortical-basal ganglia network in the viscous condition and between a cortical-cerebellar network in the positional condition. Our findings demonstrate that trial-to-trial acquisition of two distinct adaptive responses is attributed not to anatomically segregated regions, but to differential functional interactions within common sensorimotor circuits. I N T R O D U C T I O NEffective movement necessitates adaptation to perturbations to the sensorimotor system. Whether different neural circuits in the human brain underlie the nervous system's capability to flexibly adapt to various perturbations remains unknown. Although numerous imaging studies have investigated circuits involved in sensorimotor remapping, only a handful have addressed adaptation to torque perturbations. Early positron emission tomography (PET) studies of two-dimensional (2D) reaching under viscous resistance revealed a learning-dependent increase in regional cerebral blood flow (rCBF) to the left dorsolateral prefrontal (DLPFC) cortex and the bilateral putamen that, on retention testing, was reduced in the DLPFC but increased in the left posterior parietal, dorsal premotor, and right a...

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“…Several studies investigated neural processes underlying ongoing prismatic adaptation (PA) and reported activation within the parietotemporal cortex and the cerebellum, suggesting a visual and proprioceptive spatial realignment (Clower et al, 1996;Danckert et al, 2008;Luauté et al, 2009;Chapman et al, 2010), similar to that observed in other types of visuomotor coordinate transformations (Inoue et al, 2000;Grefkes et al, 2004;Krakauer et al, 2004;Diedrichsen et al, 2005;Graydon et al, 2005).…”

Section: Introductionmentioning

confidence: 81%

Prismatic Adaptation Changes Visuospatial Representation in the Inferior Parietal Lobule

2014

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Prismatic adaptation has been shown to induce a realignment of visuoproprioceptive representations and to involve parietocerebellar networks. We have investigated in humans how far other types of functions known to involve the parietal cortex are influenced by a brief exposure to prismatic adaptation. Normal subjects underwent an fMRI evaluation before and after a brief session of prismatic adaptation using rightward deviating prisms for one group or after an equivalent session using plain glasses for the other group. Activation patterns to three tasks were analyzed: (1) visual detection; (2) visuospatial short-term memory; and (3) verbal short-term memory. The prismatic adaptation-related changes were found bilaterally in the inferior parietal lobule when prisms, but not plain glasses, were used. This effect was driven by selective changes during the visual detection task: an increase in neural activity was induced on the left and a decrease on the right parietal side after prismatic adaptation. Comparison of activation patterns after prismatic adaptation on the visual detection task demonstrated a significant increase of the ipsilateral field representation in the left inferior parietal lobule and a significant decrease in the right inferior parietal lobule. In conclusion, a brief exposure to prismatic adaptation modulates differently left and right parietal activation during visual detection but not during short-term memory. Furthermore, the visuospatial representation within the inferior parietal lobule changes, with a decrease of the ipsilateral hemifield representation on the right and increase on the left side, suggesting thus a left hemispheric dominance.

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Learning-related fMRI activation associated with a rotational visuo-motor transformation

Cited by 100 publications

References 32 publications

The effect of cerebellar cortical degeneration on adaptive plasticity and movement control

The effect of cerebellar cortical degeneration on adaptive plasticity and movement control

BOLD Coherence Reveals Segregated Functional Neural Interactions When Adapting to Distinct Torque Perturbations

Prismatic Adaptation Changes Visuospatial Representation in the Inferior Parietal Lobule

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