Aging effects on electrical and hemodynamic responses in the sensorimotor network during unilateral proximal upper limb functional tasks

Muller, Camille O.; Perrey, Stéphane; Bakhti, Karima; Muthalib, Makii; Dray, Gérard; Xu, Binbin; Mottet, Denis; Laffont, I.

doi:10.1016/j.bbr.2023.114322

Cited by 2 publications

(7 citation statements)

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“…We processed all fNIRS raw data using the HOMER toolbox in MATLAB (Homer2 NIRS processing package, 50) with the les generated by the Lab Recorder (xdf les). Pre-and post-processing steps are detailed in a previous study (24). We used the relative changes (Δ) in peak HbO 2 concentration as an indicator of brain activity.…”

Section: Brain Activity (Fnirs and Feeg)mentioning

confidence: 99%

“…We analysed all fEEG data using the EEGLAB toolbox on MATLAB (51, version 2021.1), with the les generated by the Lab Recorder (xdf les). Details of pre-and post-processing steps are provided in a previous study (24). We calculated the event-related spectral perturbations (ERSP) in the alpha (8-13 Hz) and beta (14-29 Hz) rhythms, revealing average power changes in these speci c time frequencies.…”

Section: Brain Activity (Fnirs and Feeg)mentioning

confidence: 99%

“…FNIRS allows brain monitoring in an upright position without physical head restraint as is necessary with fMRI (22). This method has been utilized to measure sensorimotor network activation during UL movements in healthy young adults (23,24), older healthy adults (24,25) and stroke patients (11,26). A limited number of fNIRS studies have investigated proximal UL movements, such as reaching, and generally show a bilateral SM1 activation pattern (24,28).…”

Section: Introductionmentioning

confidence: 99%

“…This method has been utilized to measure sensorimotor network activation during UL movements in healthy young adults (23,24), older healthy adults (24,25) and stroke patients (11,26). A limited number of fNIRS studies have investigated proximal UL movements, such as reaching, and generally show a bilateral SM1 activation pattern (24,28). To the best of our knowledge, only one recent study investigated SM1 activation in a stroke population using fNIRS during a reaching task under ecological conditions (11).…”

Section: Introductionmentioning

confidence: 99%

“…Like fNIRS, fEEG could be used to explore task related brain activation patterns during UL movements in stroke patients, and their coupling can lead to a better view of the spatio-temporal information of the brain activation patterns from SM1 over the two hemispheres (35). Finally, we recently showed how complementing brain data with kinematic assessments of functional proximal UL tasks can help to better understand task-related SM1 activity in healthy subjects (24).…”

Section: Introductionmentioning

confidence: 99%

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Brain-movement relationship during upper-limb functional movements in chronic post-stroke patients

Muller,

Faity,

Muthalib

et al. 2023

Preprint

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Background Following a stroke, brain activation reorganisation, movement compensatory strategies, motor performance and their evolution through rehabilitation are matters of importance for clinicians. Two non-invasive neuroimaging methods allow for recording task-related brain activation: functional near-infrared spectroscopy (fNIRS) and electroencephalography (fEEG), respectively based on haemodynamic response and neuronal electrical activity. Their simultaneous measurement during movements could allow a better spatiotemporal mapping of brain activation, and when associated to kinematic parameters could unveil underlying mechanisms of functional upper limb (UL) recovery. This study aims to depict the motor cortical activity patterns using combined fNIRS-fEEG and their relationship to motor performance and strategies during UL functional tasks in chronic post-stroke patients. Methods Twenty-one healthy old adults and 21 post-stroke patients were recruited and realized two standardised functional tasks of the UL: a paced-reaching task where they had to reach a target in front of them and a circular steering task where they had to displace a target using a hand-held stylus, as fast as possible inside a circular track projected on a computer screen. The activity of the bilateral motor cortices and motor performance were recorded simultaneously utilizing a fNIRS-fEEG and kinematics platform. Results and conclusions Kinematic analysis revealed that post-stroke patients performed worse in the circular steering task and used more trunk compensation in both tasks. Brain analysis bilateral motor cortices revealed that stroke individuals over-activated during the paretic UL reaching task, which was associated with more trunk usage and a higher level of impairment (clinical scores). This work opens up avenues for using such combined methods to better track and understand brain-movement evolution through stroke rehabilitation.

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Section: Brain Activity (Fnirs and Feeg)mentioning

confidence: 99%

Section: Brain Activity (Fnirs and Feeg)mentioning

confidence: 99%