Cited by 76EEG and Brain-Computer InterfacesMotor Control and AdaptationTactile and Sensory Interactions

Preservation of hand movement representation in the sensorimotor areas of amputees

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Bruurmijn, Mark L C M, Pereboom, Isabelle P L, Vansteensel, Mariska J, Raemaekers, Mathijs A H, Ramsey, Nick F·2017·Brain

Abstract

Denervation due to amputation is known to induce cortical reorganization in the sensorimotor cortex. Although there is evidence that reorganization does not lead to a complete loss of the representation of the phantom limb, it is unclear to what extent detailed, finger-specific activation patterns are preserved in motor cortex, an issue that is also relevant for development of brain-computer interface solutions for paralysed people. We applied machine learning to obtain a quantitative measure for the functional organization within the motor and adjacent cortices in amputees, using high resolution functional MRI and attempted hand gestures. Subjects with above-elbow arm amputation (n = 8) and non-amputated controls (n = 9) made several gestures with either their right or left hand. Amputees attempted to make gestures with their amputated hand. Images were acquired using 7 T functional MRI. The sensorimotor cortex was divided into four regions, and activity patterns were classified in individual subjects using a support vector machine. Classification scores were significantly above chance for all subjects and all hands, and were highly similar between amputees and controls in most regions. Decodability of phantom movements from primary motor cortex reached the levels of right hand movements in controls. Attempted movements were successfully decoded from primary sensory cortex in amputees, albeit lower than in controls but well above chance level despite absence of somatosensory feedback. There was no significant correlation between decodability and years since amputation, or age. The ability to decode attempted gestures demonstrates that the detailed hand representation is preserved in motor cortex and adjacent regions after denervation. This encourages targeting sensorimotor activity patterns for development of brain-computer interfaces.

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  • The SMA is an important region in the speech production network and is involved in speech initiation.

    “The supplementary motor area (SMA) is another important region in the speech production network165,169 that is involved in speech initiation170.”

    From The speech neuroprosthesis (2024) · cites this paper as [165]

    The Introduction and Methods describe hand-movement representations in primary motor and sensory cortex, not the supplementary motor area’s role in speech. Searches for the supplementary motor area, speech production, and speech initiation found no passage addressing the attributed claim. (LLM, conf=0.76)

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Authors
Bruurmijn, M. L. C. M., Pereboom, I. P. L., Vansteensel, M. J., Raemaekers, M. A. H., & Ramsey, N. F.
Affiliations
Utrecht University (NL)
Corresponding author
Ramsey, Nick F
Venue
Brain
Published
2017-10-27
Volume
140
Issue
12
Pages
3166-3178
ISSN
  • 0006-8950 (ISSN-L)
  • 1460-2156
OpenAlex
W2765847708
Cited by
75
References
54
Citations by year
2026: 7 · 2025: 6 · 2024: 9 · 2023: 10 · 2022: 4 · 2021: 12 · 2020: 12 · 2019: 10 · 2018: 4 · 2017: 1
FWCI
4.24
Type
journal article
Language
en
Open access
Locations
  • Brain (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
Funders
European Research Council (320708)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
Keywords
amputation, denervation, cortical reorganization, sensorimotor cortex, primary motor cortex, primary sensory cortex, phantom limb, brain-computer interface, support vector machine classification
MeSH terms
Machine Learning, Adult, Aged, Amputation, Surgical, Female, Forearm, Hand, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Motor Cortex, Phantom Limb, Time Factors, Case-Control Studies, Young Adult, Functional Neuroimaging, Sensorimotor Cortex

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