4.6 Article

Prefrontal Functional Connectivity During the Verbal Fluency Task in Patients With Major Depressive Disorder: A Functional Near-Infrared Spectroscopy Study

期刊

FRONTIERS IN PSYCHIATRY
卷 12, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fpsyt.2021.659814

关键词

major depressive disorder; fNIRS; functional connectivity; verbal fluency task; efficiency

资金

  1. Korea Medical Device Development Fund grant - Korea government (the Ministry of Science and ICT)
  2. Ministry of Trade, Industry and Energy
  3. Ministry of Health & Welfare, Republic of Korea
  4. Ministry of Food and Drug Safety [202013B10]
  5. National Research Foundation of Korea [2019R1F1A1058011, BK21 FOUR]
  6. Sookmyung Women's University [1-1903-2005]
  7. National Research Foundation of Korea [2019R1F1A1058011] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

Deviant activation patterns and weaker functional connectivity were observed in patients with major depressive disorder during a cognitive task, compared to healthy individuals. Network metrics provided by graph theory were useful in evaluating functional connectivity, which can help explain the cognitive impairments caused by depression. The efficiency of the functional network showed a significant difference between patient and control groups and was negatively correlated with depression severity.
Deviations in activation patterns and functional connectivity have been observed in patients with major depressive disorder (MDD) with prefrontal hemodynamics of patients compared with healthy individuals. The graph-theoretical approach provides useful network metrics for evaluating functional connectivity. The evaluation of functional connectivity during a cognitive task can be used to explain the neurocognitive mechanism underlying the cognitive impairments caused by depression. Overall, 31 patients with MDD and 43 healthy individuals completed a verbal fluency task (VFT) while wearing a head-mounted functional near-infrared spectroscopy (fNIRS) devices. Hemodynamics and functional connectivity across eight prefrontal subregions in the two groups were analyzed and compared. We observed a reduction in prefrontal activation and weaker overall and interhemispheric subregion-wise correlations in the patient group compared with corresponding values in the control group. Moreover, efficiency, the network measure related to the effectiveness of information transfer, showed a significant between-group difference [t (71.64) = 3.66, corrected p < 0.001] along with a strong negative correlation with depression severity (rho = -0.30, p = 0.009). The patterns of prefrontal functional connectivity differed significantly between the patient and control groups during the VFT. Network measures can quantitatively characterize the reduction in functional connectivity caused by depression. The efficiency of the functional network may play an important role in the understanding of depressive symptoms.

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