Partial correlation-based functional connectivity analysis for functional near-infrared spectroscopy signals

Creative Commons License

Akin A.

JOURNAL OF BIOMEDICAL OPTICS, cilt.22, sa.12, 2017 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 22 Sayı: 12
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1117/1.jbo.22.12.126003
  • Dergi Adı: JOURNAL OF BIOMEDICAL OPTICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Anahtar Kelimeler: functional near, infrared spectroscopy, partial correlation, functional connectivity, global efficiency, Stroop task, DOWN ATTENTIONAL CONTROL, FMRI DATA, STROOP TASK, COGNITIVE NEUROSCIENCE, BRAIN ACTIVATION, CINGULATE CORTEX, SOCIAL-BEHAVIOR, MULTI-DISTANCE, NEURAL BASIS, WHOLE-HEAD
  • Acıbadem Mehmet Ali Aydınlar Üniversitesi Adresli: Evet

Özet

A theoretical framework, a partial correlation-based functional connectivity (PC-FC) analysis to functional near-infrared spectroscopy (fNIRS) data, is proposed. This is based on generating a common background signal from a high passed version of fNIRS data averaged over all channels as the regressor in computing the PC between pairs of channels. This approach has been employed to real data collected during a Stroop task. The results show a strong significance in the global efficiency (GE) metric computed by the PC-FC analysis for neutral, congruent, and incongruent stimuli (NS, CS, IcS; GE(N) = 0.10 +/- 0.009, GE(C) = 0.11 +/- 0.01, GE(IC) = 0.13 +/- 0.015, p = 0.0073). A positive correlation (r = 0.729 and p = 0.0259) is observed between the interference of reaction times (incongruent-neutral) and interference of GE values (GE(IC)-GE(N)) computed from [HbO] Signals. (C) 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)