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2026-05-19 00:00 ChinaUnited Kingdom Papers Foundations & Methods Translated from EN

sEEG Study Finds Motor Imagery Activity Shifts by Task Stage and Frequency Band

Summary Intracranial recordings from ten epilepsy patients show that neural activity during cued limb motor imagery changes with the phase of the task: low-frequency (8-30 Hz) activity was mostly suppressed during preparation and switched to activation once imagery began, while high-frequency (60-115 Hz) responses were stronger, more widely distributed, and at some contacts followed an activation-then-suppression sequence. The stereoelectroencephalography (sEEG) data indicate that responses are not uniform but shift with task stage and brain region, which the authors tie to stage-aware feature design for BCIs and to neurorehabilitation.
Why it matters Most motor-imagery decoders treat a trial as one homogeneous window, and if preparation and imagery carry opposite low-frequency signs that assumption is discarding signal; the hippocampal involvement reported here further suggests the usable feature set extends beyond canonical sensorimotor cortex.

BCIwiki (bciwiki.com) — Neural activity during motor imagery shifts by task stage, with low-frequency (8-30 Hz) signals predominantly suppressed during preparation and becoming activated during imagery, while high-frequency (60-115 Hz) responses are stronger and more widespread, according to a study using stereoelectroencephalography (sEEG). The research, conducted by scientists at the University of Bath and Huashan Hospital, Fudan University, was published in NeuroImage on May 19, 2026.

The study involved ten epilepsy patients performing cued limb motor imagery while intracranial electrodes recorded activity from cortical and subcortical regions. Low-frequency activity showed suppression during preparation followed by activation during imagery, consistent with ERD/ERS-like dynamics, whereas high-frequency responses were stronger, observed across more regions, and some contacts exhibited activation-suppression sequences. Modulation in deep structures, including hippocampal subfields, suggests that motor imagery engages a distributed network beyond canonical sensorimotor areas. The authors say the findings refine the temporal and spectral characterization of motor imagery and may inform stage-aware BCI feature design and neurorehabilitation.

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