A free association semantic task for fNIRS-based perinatal depression assessment

Chen, Danni; Yang, Xuanjin; Liang, Yuanyuan; Huang, Chen; Zhang, Suhan; Li, Yini; Li, Ye; Li, Xiaofei; Mu, Wenting; Zhang, Dan; Ma, Liangkun

doi:10.3389/fneur.2024.1491923

Title: A free association semantic task for fNIRS-based perinatal depression assessment

Journal Article · 14 January 2025 · Frontiers in Neurology

DOI: https://doi.org/10.3389/fneur.2024.1491923 · OSTI ID:2500910

Chen, Danni; Yang, Xuanjin; Liang, Yuanyuan; Huang, Chen; Zhang, Suhan; Li, Yini; Li, Ye; Li, Xiaofei; Mu, Wenting; Zhang, Dan; Ma, Liangkun

Perinatal depression (PD) is a highly prevalent psychological disorder that has a detrimental effect on infant and maternal physical and mental health, but effective and objective assessment of PD is still insufficient. In recent years, the functional near-infrared spectroscopy (fNIRS) has been acknowledged as an effective non-invasive tool for clinical assessment of depression. This study proposed a free association semantic task (FAST) paradigm for fNIRS-based assessment of PD. To better address the emotion characteristics of PD, the participants are required to generate a dynamic concept chain based on positive, negative or neutral seed words, while 48-channel fNIRS recordings over frontal and bilateral temporal regions. Results from twenty-two late-pregnant women revealed that, the oxyhemoglobin (oxy-Hb) changes during the FAST with the positive and negative seed words over the frontal region were correlated with PD severity, which was different from the correlation patterns in the FAST with neutral seed word and the classical verbal fluency test (VFT). Furthermore, distinct correlation patterns were also observed in the FAST with the positive and negative seed words, manifested in fNIRS channels corresponding to the right dorsolateral prefrontal cortex (DLPFC) and right inferior frontal gyrus (IFG), respectively. Moreover, regression analyses showed that the FAST with positive and negative seed words can well explain the severity of PD. Our findings suggest the proposed FAST paradigm as a promising approach for PD assessment.

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Sponsoring Organization:: USDOE Office of Electricity (OE), Advanced Grid Research & Development. Power Systems Engineering Research

OSTI ID:: 2500910

Journal Information:: Frontiers in Neurology, Journal Name: Frontiers in Neurology Vol. 15; ISSN 1664-2295

Publisher:: Frontiers Media SACopyright Statement

Country of Publication:: Switzerland

Language:: English

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