Neural Noise- Brain-machine interfaces combined with near-infrared functional imaging can unveil upper-limb functional recovery mechanisms in stroke patients.1
- The approach informs rehabilitation BMIs and non-invasive readout of recovery mechanisms.1 1
Weekly enrichment (2026-07-20)
- The source study, “Unveiling the upper-limb functional recovery mechanisms in stroke patients using brain-machine interfaces: a near-infrared functional imaging-based study,” appeared in Nature Scientific Reports (also on PubMed Central as PMC12612118).23
- Thirty-four ischemic stroke patients with upper-limb dysfunction were randomized (random number table) to treatment or control (17 each); 4 dropped out, leaving 30 for analysis (15 per group).2
- Both groups received routine rehabilitation and pharmacological care; the treatment group additionally performed EEG-based BCI motor-imagery training driving an upper-limb exoskeleton for 30 min/day, 5 days/week, over 4 weeks.2
- Outcomes were the Fugl-Meyer upper-extremity assessment (FM) and Modified Barthel Index (MBI), with fNIRS oxygenated-hemoglobin (HbO) measured across six ROIs (ipsilesional/contralesional PMC, SMA, SMC) at baseline, 2 weeks and 4 weeks.2
- The treatment group showed significantly greater FM gains than controls at both 2 weeks (5.867 ± 3.482 vs 3.200 ± 2.077, p < 0.01, d = 0.93) and 4 weeks (13.533 ± 5.705 vs 7.133 ± 2.503, p < 0.05, d = 1.45).2
- MBI improvements were also larger in the treatment group at 2 weeks (13.400 ± 7.129 vs 8.133 ± 4.357, p < 0.05, d = 0.89) and 4 weeks (27.867 ± 10.106 vs 16.467 ± 7.010, p < 0.05, d = 1.31).2
- After 4 weeks, the treatment group showed significantly increased HbO in the affected-side PMC (0.019 ± 0.017 vs control 0.007 ± 0.005, p < 0.01, d = 1.01) and SMA, reversing pre-treatment inhibition of these ipsilesional regions.2
- Brain network efficiency rose significantly more in the treatment group after 4 weeks (between-group p = 0.014), and gains in network efficiency correlated positively with both FM and MBI improvements across the cohort.2
- The authors interpret recovery via “compensation” (experience-dependent neuroplasticity) and “release” (loss of tonic inhibition) mechanisms, positioning fNIRS as a non-invasive readout of BCI-driven cortical reorganization for neurorehabilitation.2