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Background: Functional near-infrared spectroscopy (fNIRS) is increasingly used to examine cognitive abilities and support the diagnosis of bipolar disorder (BD). Despite its growing application, research on functional connectivity in BD remains limited, and task-induced functional connectivity remains under-investigated. This study aims to differentiate patients with BD from healthy controls (HCs) based on fNIRS-derived functional connectivity.
Methods: We analyzed fNIRS data from 50 patients with BD and 50 HCs during resting state and two cognitive tasks, including the verbal fluency test (VFT) and Stroop color-word test (Stroop). Functional connectivity was quantified using coherence and correlation evaluations, and four network characteristics, such as local efficiency, global efficiency, global clustering coefficient, and average closeness centrality, were extracted. A thresholding method was applied by filtering the top 10 % to 50 % to highlight significant network connections. Group differences were evaluated using t-tests with false discovery rate.
Findings: Patients with BD showed significantly altered coherence values, especially between channels 4 and 10 (p < 0.001, t = -5.534, η = 0.562) and lower global clustering coefficients (p < 0.001, t = -5.666, η = 0.578) compared to HCs. The k-nearest neighbor (KNN) classifier using coherence-based network metrics during the VFT achieved the highest classification performance with an accuracy of 0.818, precision of 0.819, recall of 0.824, and an F1-score of 0.817.
Conclusion: Our findings suggest that task-induced functional connectivity, particularly coherence-based metrics derived during the VFT, reflects distinct functional connectivity patterns that differentiate patients with BD from HCs. These findings support the utility of network-based approaches under cognitive task conditions in characterizing functional connectivity alterations associated with BD.
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http://dx.doi.org/10.1016/j.jad.2025.119637 | DOI Listing |
Bioessays
September 2025
Department of Biological Sciences, Tata Institute of Fundamental Research, Mumbai, India.
The timely release of chemical messengers is a crucial step in cell-to-cell communication. Does this release occur as a passive diffusion from the donor membrane or it is actively regulated? A series of studies indicated that chemical messengers' secretion is "sub-quantal". This mode of secretion demands a strongly regulated release mechanism and calls for a thorough characterization of the release sites.
View Article and Find Full Text PDFWorld J Surg Oncol
September 2025
Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Background: Inflammation impacts the prognosis of numerous types of tumors. Inflammatory indicators such as the neutrophil-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, and neutrophil-to-eosinophil ratio (NER) have emerged as potential prognostic markers and are closely correlated with the outcomes of cancer patients. However, the connection between NER and cancer prognosis remains incompletely understood.
View Article and Find Full Text PDFBMC Microbiol
September 2025
Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada.
Background: A plant-focused, healthy dietary pattern, such as the Mediterranean diet enriched with dietary fiber, polyphenols, and polyunsaturated fats, is well known to positively influence the gut microbiota. Conversely, a processed diet high in saturated fats and sugars negatively impacts gut diversity, potentially leading to weight gain, insulin resistance, and chronic, low-grade inflammation. Despite this understanding, the mechanisms by which the Mediterranean diet impacts the gut microbiota and its associated health benefits remain unclear.
View Article and Find Full Text PDFBrain Res
September 2025
Institute of Cognitive Neuroscience and Psychology, HUN-REN Research Centre for Natural Sciences, Hungary.
Identifying early predictors of language development is essential for understanding how infants acquire vocabulary during the first years of life. While previous studies have established the importance of infant-directed speech (IDS) and neural speech processing, this longitudinal study introduces a novel approach by combining EEG-based functional connectivity analysis and machine learning to assess the joint contribution of maternal and infant neural factors to language outcomes. Data were collected at birth and nine months, including maternal personality and speech characteristics, alongside infant EEG responses during speech processing.
View Article and Find Full Text PDFJ Affect Disord
September 2025
Tianjin University, Medical School, Tianjin, China; Tianjin University, Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration, Tianjin, China; Tianjin University, State Key Laboratory of Advanced Medical Materials and Medical Devices, Tianjin, China.
Background: Abnormal gamma-band auditory steady-state response (gamma-ASSR) power has been reported in major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ), but distinguishing between these disorders based solely on power remains challenging. Directed functional connectivity (DFC), which captures topological patterns of causal information flow, may provide more diagnostic-specific markers. However, conventional case-control framework often disregards the substantial individual heterogeneity, yielding unreliable biomarkers.
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