ArticleBrain sciences2022
Intrinsic Organization of Occipital Hubs Predicts Depression: A Resting-State fNIRS Study.
Article in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 11 citations in OpenAlex.
- Utility of Functional Near-infrared Spectroscopy (fNIRS) in Major Depressive Disorder: A Systematic Review.Indian journal of psychological medicine · 2026Review
- Frontal Cortex Entropy Derived From Resting-State fNIRS for Brain Age Prediction in Major Depressive Disorder.Depression and anxiety · 2026Article
- Reduced frontotemporal connectivity during a verbal fluency task in patients with anxiety, sleep, and major depressive disorders.Frontiers in neurology · 2025Article
- Higher amplitudes of visual networks are associated with trait- but not state-depression.Psychological medicine · 2024Article
- Effects of Tai Chi Cloud Hands on balance and resting-state functional connectivity after stroke: an fNIRS study.Frontiers in neurologyArticle
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
Dysfunctional brain networks have been found in patients with major depressive disorder (MDD). In this study, to verify this in a more straightforward way, we investigated the intrinsic organization of brain networks in MDD by leveraging the resting-state functional near-infrared spectroscopy (rs-fNIRS). Thirty-four MDD patients (24 females, 38.41 ± 13.14 years old) and thirty healthy controls (22 females, 34.43 ± 5.03 years old) underwent a 10 min rest while their brain activity was recorded via fNIRS. The results showed that MDD patients and healthy controls exhibited similar resting-state functional connectivity. Moreover, the depression group showed lower small-world Lambda (1.12 ± 0.04 vs. 1.16 ± 0.10, p = 0.04) but higher global efficiency (0.51 ± 0.03 vs. 0.48 ± 0.05, p = 0.03) than the control group. Importantly, MDD patients, as opposed to healthy controls, showed a significantly lower nodal local efficiency at the left middle occipital gyrus (0.56 ± 0.36 vs. 0.81 ± 0.20, pFDR < 0.05), which predicted the level of depression in MDD (r = 0.45, p = 0.01, R2 = 0.15). In sum, we found a more integrated brain network in MDD patients with a lower nodal local efficiency at the occipital hub, which could predict depressive symptoms.
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