http://stroke.ahajournals.org/content/49/Suppl_1/AWP150
Abstract
While
most survivors have some spontaneous recovery after stroke, they reach a
functional plateau and are left with persistent motor impairments. An
emerging therapy, EEG-based Brain-Computer Interface (BCI), shows
promise in promoting neural reorganization and facilitating additional
motor recovery after stroke, however, the relationships between the
neuroplastic changes and behavioral outcomes following this therapy are
not fully understood. We examined changes in resting-state functional
connectivity (rsFC) in the motor network and behavioral measures,
including Stroke Impact Scale (SIS) and Action Research Arm Test (ARAT),
over the course this therapy and investigated functional connectivity -
behavior correlations. Twenty-six stroke patients with mild to severe
upper extremity impairment completed EEG-based BCI therapy. Resting fMRI
and anatomical scans were acquired on a GE 3T MRI Scanner before
therapy, mid-, post- and one-month post-therapy, along with a
neuropsychology battery. MRI scans of right hemisphere stroke patients
were flipped to treat all subjects as left lesion hemisphere patients.
We performed whole network, inter-hemispheric? and intra-hemispheric? seed
region based connectivity analyses to study changes in rsFC over time
and identify correlations between changes in rsFC and behavior over
time. After therapy, a significant increase in network connectivity (p
=0.000003) and intra-hemispheric connectivity (p = 0.047) from pre- to
one-month post-therapy was observed. Additionally, inter-hemispheric
connectivity increased and trended towards significance (p = 0.058). A
significant positive correlation was observed between changes in
network-level rsFC and SIS ADL (p = 0.005). Changes in intra-hemispheric
rsFC correlated with ARAT for the affected arm (p = 0.001) and SIS
Mobility (p = 0.003). The results suggest that EEG-based BCI therapy
facilitates changes in rsFC in the motor network in stroke survivors,
and these changes in connectivity are correlated with improvements in
behavioral outcomes. This analysis provides a foundation for furthering
our understanding of the potential of EEG-based BCI as a therapeutic
modality for stroke rehabilitation to promote neurophysiological changes
and motor recovery.
- © 2018 by American Heart Association, Inc.
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