Krueger, Johanna and Krauth, Richard and Reichert, Christoph and Perdikis, Serafeim and Vogt, Susanne and Huchtemann, Tessa and Durschmid, Stefan and Sickert, Almut and Lamprecht, Juliane and Huremovic, Almir and Gortler, Michael and Nasuto, Slawomir J and Knight, Robert T and Hinrichs, Hermann and Heinze, Hans-Jochen and Lindquist, Sabine and Sailer, Michael and Millan, Jose del R and Sweeney-Reed, Catherine M (2022) Functional electrical stimulation driven by a brain–computer interface in acute and subacute stroke patients impacts beta power and long-range temporal correlation. In: 2022 IEEE Workshop on Complexity in Engineering (COMPENG), 2022-07-18 - 2022-07-20, Florence, Italy.
Krueger, Johanna and Krauth, Richard and Reichert, Christoph and Perdikis, Serafeim and Vogt, Susanne and Huchtemann, Tessa and Durschmid, Stefan and Sickert, Almut and Lamprecht, Juliane and Huremovic, Almir and Gortler, Michael and Nasuto, Slawomir J and Knight, Robert T and Hinrichs, Hermann and Heinze, Hans-Jochen and Lindquist, Sabine and Sailer, Michael and Millan, Jose del R and Sweeney-Reed, Catherine M (2022) Functional electrical stimulation driven by a brain–computer interface in acute and subacute stroke patients impacts beta power and long-range temporal correlation. In: 2022 IEEE Workshop on Complexity in Engineering (COMPENG), 2022-07-18 - 2022-07-20, Florence, Italy.
Krueger, Johanna and Krauth, Richard and Reichert, Christoph and Perdikis, Serafeim and Vogt, Susanne and Huchtemann, Tessa and Durschmid, Stefan and Sickert, Almut and Lamprecht, Juliane and Huremovic, Almir and Gortler, Michael and Nasuto, Slawomir J and Knight, Robert T and Hinrichs, Hermann and Heinze, Hans-Jochen and Lindquist, Sabine and Sailer, Michael and Millan, Jose del R and Sweeney-Reed, Catherine M (2022) Functional electrical stimulation driven by a brain–computer interface in acute and subacute stroke patients impacts beta power and long-range temporal correlation. In: 2022 IEEE Workshop on Complexity in Engineering (COMPENG), 2022-07-18 - 2022-07-20, Florence, Italy.
Abstract
Functional electrical stimulation (FES) is a standard rehabilitation approach applied by therapists to aid motor recovery in a paretic limb post-stroke. Information pertaining to the timing of a movement attempt can be obtained from changes in the power of oscillatory electrophysiological activity in motor cortical regions, derived from scalp electroencephalographic (EEG) recordings. The use of a brain–computer interface (BCI), to enable delivery of FES within a tight temporal window with a movement attempt detected in scalp EEG, is associated with greater motor recovery than conventional FES application in patients in the chronic phase post-stroke. We hypothesized that the heightened neural plasticity early post-stroke could further enhance motor recovery and that motor improvements would be accompanied by changes in the motor cortical sensorimotor rhythm after compared with before treatment. Here we assessed clinical outcome and changes in the sensorimotor rhythm in patients following subcortical stroke affecting the non-dominant hemisphere from a study comparing timing of FES delivery using a BCI, with a Sham group, receiving FES with no such temporal relationship. The BCI group showed greater clinical improvement following the treatment, particularly early post-stroke, and a greater decrease in beta oscillatory power and long-range temporal correlation over contralateral (ipsilesional) motor cortex. The electrophysiological changes are consistent with a reduction in compensatory processes and a transition towards a subcritical state when movement is triggered at the time of movement detection based on motor cortical oscillations.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | brain–computer interface; BCI; functional electrical stimulation; FES; acute stroke; subacute stroke; upper limb rehabilitation |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 19 Jan 2023 15:15 |
Last Modified: | 09 Oct 2024 04:52 |
URI: | http://repository.essex.ac.uk/id/eprint/33646 |
Available files
Filename: Functional_electrical_stimulation_driven_by_a_braincomputer_interface_in_acute_and_subacute_stroke_patients_impacts_beta_power_and_long-range_temporal_correlation.pdf