Mapping causal circuit dynamics in stroke using simultaneous electroencephalography and transcranial magnetic stimulation

Autor: Fiona M. Baumer, Hersh M. Trivedi, Wei Wu, Joshua T. Jordan, Marion S. Buckwalter, Ketura Berry, Amit Etkin, Russell T. Toll, Maarten G Lansberg, Madelleine Garcia, Camarin E. Rolle, Karen Monusko
Rok vydání: 2021
Předmět:
Male
Aging
Neurology
medicine.medical_treatment
Electroencephalography
0302 clinical medicine
80 and over
2.1 Biological and endogenous factors
Aetiology
Stroke
Aged
80 and over
Brain Mapping
Connectivity
Assistive Technology
Rehabilitation
medicine.diagnostic_test
05 social sciences
Motor Cortex
General Medicine
Middle Aged
Transcranial Magnetic Stimulation
Paresis
medicine.anatomical_structure
Neurological
Female
Cognitive Sciences
Motor cortex
Adult
medicine.medical_specialty
TMS-EEG
1.1 Normal biological development and functioning
Bioengineering
050105 experimental psychology
03 medical and health sciences
Physical medicine and rehabilitation
Arm function
Clinical Research
Underpinning research
medicine
Humans
0501 psychology and cognitive sciences
Neurochemistry
RC346-429
Aged
Neurology & Neurosurgery
business.industry
Research
Neurosciences
Beta
medicine.disease
Brain Disorders
Transcranial magnetic stimulation
Physical Rehabilitation
Case-Control Studies
wPLI
Neurology. Diseases of the nervous system
Neurology (clinical)
business
030217 neurology & neurosurgery
Zdroj: BMC neurology, vol 21, iss 1
BMC Neurology
BMC Neurology, Vol 21, Iss 1, Pp 1-11 (2021)
Popis: Background Motor impairment after stroke is due not only to direct tissue loss but also to disrupted connectivity within the motor network. Mixed results from studies attempting to enhance motor recovery with Transcranial Magnetic Stimulation (TMS) highlight the need for a better understanding of both connectivity after stroke and the impact of TMS on this connectivity. This study used TMS-EEG to map the causal information flow in the motor network of healthy adult subjects and define how stroke alters these circuits. Methods Fourteen stroke patients and 12 controls received TMS to two sites (bilateral primary motor cortices) during two motor tasks (paretic/dominant hand movement vs. rest) while EEG measured the cortical response to TMS pulses. TMS-EEG based connectivity measurements were derived for each hemisphere and the change in connectivity (ΔC) between the two motor tasks was calculated. We analyzed if ΔC for each hemisphere differed between the stroke and control groups or across TMS sites, and whether ΔC correlated with arm function in stroke patients. Results Right hand movement increased connectivity in the left compared to the right hemisphere in controls, while hand movement did not significantly change connectivity in either hemisphere in stroke. Stroke patients with the largest increase in healthy hemisphere connectivity during paretic hand movement had the best arm function. Conclusions TMS-EEG measurements are sensitive to movement-induced changes in brain connectivity. These measurements may characterize clinically meaningful changes in circuit dynamics after stroke, thus providing specific targets for trials of TMS in post-stroke rehabilitation.
Databáze: OpenAIRE
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