Assessment of user voluntary engagement during neurorehabilitation using functional near-infrared spectroscopy: a preliminary study.
Chang-Hee Han, Han-Jeong Hwang, Jeong-Hwan Lim and 1 others
PMID 29566710WHAT IT FOUND
In eight healthy people, brain activity measured by fNIRS could distinguish passive finger movement from movement plus imagined or voluntary effort, especially across five trials.
This is preliminary and not yet a patient monitor.
Key findings
01During device-driven passive finger movement, adding imagined or voluntary movement produced broader and stronger brain hemodynamic responses than passive movement alone.
02When five trials were combined, fNIRS signals identified whether a healthy person added imagined movement to a passive finger movement with 80.55% accuracy, and whether they added voluntary movement with 80.11% accuracy.
03The study did not include patients with brain lesions, so it did not show whether this works in people needing motor rehabilitation.
STILL TO COME
How it was doneWhat they foundWhat it means for PTs
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What it does not show
The study tested eight healthy people, not patients with stroke or other motor impairments. The sample was very small, so individual differences and generalisation are uncertain. The classification was done offline from recorded data, not in real time during therapy. The task used a device moving one finger, so it may not reflect whole-limb or functional rehabilitation tasks. The study measured brain activity, not motor recovery or daily function.
Declared interests
The paper states funding by the National Research Foundation of Korea. No other conflicts of interest are reported.
The easy way to misread this
Do not conclude that fNIRS can already be used to monitor patient engagement in neurorehabilitation. The study tested healthy people in a laboratory task, did not include patients with brain lesions, and did not show that the method improved clinical outcomes.