Why the study?
Does fNIRS combined with an SVM-based classifier accurately distinguish patients with schizophrenia from healthy volunteers?
Population
27 subjects (16 patients with schizophrenia and 11 healthy volunteers of the same average age)
Comparison
Functional near-infrared spectroscopy using a… vs Healthy volunteers
Design
Case-control
Authors
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Hypothesis-generating for fNIRS-SVM schizophrenia classification; prospective validation required before clinical adoption.
Does fNIRS combined with an SVM-based classifier accurately distinguish patients with schizophrenia from healthy volunteers?
fNIRS combined with an SVM classifier can distinguish schizophrenia patients from healthy volunteers with approximately 87% precision.
Dadgostar et al. (2018) studied this question.
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