TY - JOUR
T1 - Functional characteristics of the frontal cortex during the verbal fluency task in subthreshold depression
T2 - A fNIRS study
AU - Liu, Jingxuan
AU - Hu, Yuhan
AU - Zong, Boyi
AU - Wang, Shiyu
AU - Zheng, Yifan
AU - Guo, Dongxi
AU - Shi, Chengchao
AU - Cai, Ruijin
AU - Li, Lin
N1 - Publisher Copyright:
© 2025 Elsevier B.V.
PY - 2025/9/1
Y1 - 2025/9/1
N2 - Background: Subthreshold depression (SD), a recognized prodromal stage and major risk factor for major depressive disorder (MDD). Dysfunction of the frontal lobe is associated with the emergence and progression of depression. This study aims to systematically examine the functional characteristics of the frontal cortex in SD, including activation, functional connectivity (FC), and network topology properties. Methods: Using functional near-infrared spectroscopy (fNIRS) during verbal fluency tasks (VFT), the relative concentration of oxyhaemoglobin in the frontal cortex was measured in 70 female subjects with SD and 73 matched healthy controls. Results: The SD subjects demonstrated reduced dorsolateral prefrontal cortex activation. FC analyses indicated weakened frontal cortex connectivity with adjacent regions and disrupted interhemispheric connectivity, alongside enhanced long-distance and edge frontal connectivity. Graph theory revealed functional network abnormalities of the frontal cortex in SD: decreased overall clustering coefficient (Cp), left-hemisphere Cp with increased global efficiency, and diminished right-hemisphere assortativity. Crucially, overall frontal Cp correlated with depressive symptom severity and showed predictive value for SD. Conclusion: During the VFT, SD subjects exhibited reduced frontal cortex activation, altered FC patterns, and functional network abnormalities. This study was the first to report that the Cp of the overall frontal cortex has the potential for prediction in SD. Our findings elucidate SD neuropathology and establish a foundation for early MDD diagnosis.
AB - Background: Subthreshold depression (SD), a recognized prodromal stage and major risk factor for major depressive disorder (MDD). Dysfunction of the frontal lobe is associated with the emergence and progression of depression. This study aims to systematically examine the functional characteristics of the frontal cortex in SD, including activation, functional connectivity (FC), and network topology properties. Methods: Using functional near-infrared spectroscopy (fNIRS) during verbal fluency tasks (VFT), the relative concentration of oxyhaemoglobin in the frontal cortex was measured in 70 female subjects with SD and 73 matched healthy controls. Results: The SD subjects demonstrated reduced dorsolateral prefrontal cortex activation. FC analyses indicated weakened frontal cortex connectivity with adjacent regions and disrupted interhemispheric connectivity, alongside enhanced long-distance and edge frontal connectivity. Graph theory revealed functional network abnormalities of the frontal cortex in SD: decreased overall clustering coefficient (Cp), left-hemisphere Cp with increased global efficiency, and diminished right-hemisphere assortativity. Crucially, overall frontal Cp correlated with depressive symptom severity and showed predictive value for SD. Conclusion: During the VFT, SD subjects exhibited reduced frontal cortex activation, altered FC patterns, and functional network abnormalities. This study was the first to report that the Cp of the overall frontal cortex has the potential for prediction in SD. Our findings elucidate SD neuropathology and establish a foundation for early MDD diagnosis.
KW - Frontal cortex
KW - Graph theory
KW - Subthreshold depression
KW - Verbal fluency task
KW - fNIRS
UR - https://www.scopus.com/pages/publications/105004468860
U2 - 10.1016/j.jad.2025.04.166
DO - 10.1016/j.jad.2025.04.166
M3 - 文章
AN - SCOPUS:105004468860
SN - 0165-0327
VL - 384
SP - 144
EP - 150
JO - Journal of Affective Disorders
JF - Journal of Affective Disorders
ER -