WOS

Permanent URI for this collectionhttps://hdl.handle.net/11443/932

Browse

Subject: search.filters.subject.wavelet-based partial correlation

Search Results

Now showing 1 - 1 of 1
  • No Thumbnail Available
    Item
    Graph theoretical approach to functional connectivity in prefrontal cortex via fNIRS
    (SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS, 2017-01-01) Einalou, Zahra; Maghooli, Keivan; Setarehdan, Seyaed Kamaledin; Akin, Ata
    Functional near-infrared spectroscopy (fNIRS) has been proposed as an affordable, fast, and robust alternative to many neuroimaging modalities yet it still has long way to go to be adapted in the clinic. One request from the clinicians has been the delivery of a simple and straightforward metric (a so-called biomarker) from the vast amount of data a multichannel fNIRS system provides. We propose a simple-straightforward signal processing algorithm derived from fNIRS-HbO(2) data collected during a modified version of the color-word matching Stroop task that consists of three different conditions. The algorithm starts with a wavelet-transform-based preprocessing, then uses partial correlation analysis to compute the functional connectivity matrices at each condition and then computes the global efficiency values. To this end, a continuous wave 16 channels fNIRS device (ARGES Cerebro, Hemosoft Inc., Turkey) was used to measure the changes in HbO(2) concentrations from 12 healthy volunteers. We have considered 10\% of strongest connections in each network. A strong Stroop interference effect was found between the incongruent against neutral condition (p = 0.01) while a similar significance was observed for the global efficiency values decreased from neutral to congruent to incongruent conditions {[}F(2