Multimodal imaging of brain reorganization in motor areas of the contralesional hemisphere of well recovered patients after capsular stroke
Abstract
Clinical recovery after stroke can be significant and has been attributed to plastic reorganization and recruitment of novel areas previously not engaged in a given task. As equivocal results have been reported in studies using single imaging or electrophysiological methods, here we applied an integrative multimodal approach to a group of well-recovered chronic stroke patients (n = 11; aged 50-81 years) with left capsular lesions. Focal activation during recovered hand movements was assessed with EEG spectral analysis and H2(15)O-PET with EMG monitoring, cortico-cortical connectivity with EEG coherence analysis (cortico-cortical coherence) and corticospinal connectivity with transcranial magnetic stimulation (TMS). As seen from comparisons with age-matched controls, our patients showed enhanced recruitment of the lateral premotor cortex of the lesioned hemisphere [Brodmann area (BA) 6], lateral premotor and to a lesser extent primary sensorimotor and parietal cortex of the contralesional hemisphere (CON-H; BA 4 and superior parietal lobule) and left cerebellum (patients versus controls, Z > 3.09). EEG coherence analysis showed that after stroke cortico-cortical connections were reduced in the stroke hemisphere but relatively increased in the CON-H (ANOVA, contrast analysis, P < 0.05), suggesting a shift of functional connectivity towards the CON-H. Nevertheless, fast conducting corticospinal transmission originated exclusively from the lesioned hemisphere. No direct ipsilateral motor evoked potentials (MEPs) could be elicited with TMS over the contralesional primary motor cortex (iM1) in stroke patients. We conclude that (i) effective recovery is based on enhanced utilization of ipsi- and contralesional resources, (ii) basic corticospinal commands arise from the lesioned hemisphere without recruitment of ('latent') uncrossed corticospinal tract fibres and (iii) increased contralesional activity probably facilitates control of recovered motor function by operating at a higher-order processing level, similar to but not identical with the extended network concerned with complex movements in healthy subjects.
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This evidence comes from indirect outcome measures, such as MRI and electroencephalography, which provide information about the macroscopic but not microscopic level.
“However, this evidence results from indirect outcome measures, such as MRI101 and electroencephalography,102 which provide infor mation about the macroscopic (ie, tissue), but not microscopic (ie, cellular or even subcellular) level.”
From Promoting brain remodelling and plasticity for stroke recovery: therapeutic promise and potential pitfalls of clinical translation (2012) · cites this paper as [102]
Solid evidence exists for a contribution of pyramidal tract remodelling to functional recovery in stroke patients.
“Solid evidence exists for a contribution of pyramidal tract remodelling to functional recovery in stroke patients.101,102”
From Promoting brain remodelling and plasticity for stroke recovery: therapeutic promise and potential pitfalls of clinical translation (2012) · cites this paper as [102]
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Self-citationDisinhibition of the contralateral motor cortex by low-frequency rTMS
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Self-citationA Functional MRI Study of Three Motor Tasks in the Evaluation of Stroke Recovery
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Lefaucheur, J.-P., André-Obadia, N., Antal, A., Ayache, S. S., Baeken, C., Benninger, D. H., Cantello, R. M., Cincotta, M., de Carvalho, M., De Ridder, D., et al. (2014) · Clinical Neurophysiology · doi:10.1016/j.clinph.2014.05.021 · Cited by 2,119 · see citing works
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Neuroplasticity in the context of motor rehabilitation after stroke
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Self-citationIntrinsic Coupling Modes: Multiscale Interactions in Ongoing Brain Activity
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Electrocorticographic control of a prosthetic arm in paralyzed patients
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Principles of recovery from traumatic brain injury: Reorganization of functional networks
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- Authors
- Gerloff, C., Bushara, K., Sailer, A., Wassermann, E. M., Chen, R., Matsuoka, T., Waldvogel, D., Wittenberg, G. F., Ishii, K., Cohen, L. G., & Hallett, M.
- Affiliations
- University of Tübingen (DE)
- National Institutes of Health (US)
- Corresponding author
- Gerloff, Christian
- ORCID
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2005-12-19
- Volume
- 129
- Issue
- 3
- Pages
- 791-808
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- OpenAlex
- W2100254792
- Cited by
- 452
- References
- 130
- Citations by year
- 2026: 7 · 2025: 10 · 2024: 13 · 2023: 22 · 2022: 24 · 2021: 16 · 2020: 20 · 2019: 20 · 2018: 21 · 2017: 30 · 2016: 22 · 2015: 20 · 2014: 27 · 2013: 31 · 2012: 36
- FWCI
- 20.89
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Brain (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Deutsche Forschungsgemeinschaft (SFB 307, SFB 550)
- National Institutes of Health
- Topics
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- stroke recovery, brain reorganization, contralesional hemisphere, lateral premotor cortex, corticocortical connections, motor evoked potentials, cerebellum, EEG coherence, transcranial magnetic stimulation, hand movement, chronic stroke
- MeSH terms
- Stroke Rehabilitation, Aged, Aged, 80 and over, Brain Mapping, Cerebrovascular Circulation, Chronic Disease, Electroencephalography, Female, Hand, Humans, Male, Middle Aged, Motor Cortex, Movement, Neuronal Plasticity, Evoked Potentials, Motor, Stroke, Positron-Emission Tomography, Transcranial Magnetic Stimulation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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