fNIRS-derived neurocognitive ratio as a biomarker for neuropsychiatric diseases

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NEUROPHOTONICS, vol.8, no.3, 2021 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 8 Issue: 3
  • Publication Date: 2021
  • Doi Number: 10.1117/1.nph.8.3.035008
  • Journal Name: NEUROPHOTONICS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED)
  • Keywords: fNIRS, neuropsychiatric diseases, functional connectivity, global efficiency, cognitive quotient, neurocognitive ratio, NEAR-INFRARED SPECTROSCOPY, FUNCTIONAL CONNECTIVITY, COGNITIVE NEUROSCIENCE, BRAIN, NETWORKS, DIAGNOSIS, TASK, CLASSIFICATION, INTERFERENCE, INTELLIGENCE
  • Acibadem Mehmet Ali Aydinlar University Affiliated: Yes


Significance: Clinical use of fNIRS -derived features has always suffered low sensitivity and specificity due to signal contamination from background systemic physiological fluctuations. We provide an algorithm to extract cognition-related features by eliminating the effect of background signal contamination, hence improving the classification accuracy.