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Objective: Major depressive disorder (MDD) is known to be characterized by disrupted brain functional network connectivity (FNC) patterns, while the dynamic change mode of different functional networks is unclear. This study aimed to characterize specific dynamic alterations pattern on intrinsic FNC in MDD by combining static FNC (sFNC) and dynamic FNC (dFNC).
Methods: A total of 48 first-episode drug-naïve MDD and 48 matched healthy controls (HCs) were included in this study. The sFNC and dFNC were analyzed using complete time-series and sliding window approach, respectively. Both sFNC and dFNC differences between groups were analyzed and associations between disease severity and aberrant FNC were explored.
Results: MDD patients exhibited lower sFNC within and between sensory and motor networks than HC. Four dFNC states were identified, including a globally-weakly-connected state, a cognitive-control-dominated state, a globally-positively-connected state, and an antagonistic state. The antagonistic state was marked by strong positive connections within the sensorimotor domain and their anti-correlations with the executive-motor control domain. Notably, MDD patients exhibited significantly longer dwell time in the globally-weakly-connected state, at the cost of significantly shorter dwell time in the antagonistic state. Further, only the mean dwell time of this antagonistic state was significantly anticorrelated to disease severity measures.
Conclusions: Our study highlights the altered dynamics of the antagonistic state as a fundamental aspect of disrupted FNC in early MDD.
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http://dx.doi.org/10.1186/s12888-024-06356-0 | DOI Listing |
Dev Cell
September 2025
Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK. Electronic address:
Lineage specification requires accurate interpretation of multiple signaling cues. However, how combinatorial signaling histories influence fate outcomes remains unclear. We combined single-cell transcriptomics, live-cell imaging, and mathematical modeling to explore how activin and bone morphogenetic protein 4 (BMP4) guide fate specification during human gastrulation.
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State Key Laboratory of Advanced Drug Delivery and Release Systems, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China.
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State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, China.
Silica nanoparticles (SiONPs), as emerging foliar nanofertilizers, demonstrate promising potential in agriculture. However, whether foliar application of SiONPs alters belowground soil metabolites and microbe composition and abundance remains largely unknown. In this study, 3-week-old cucumber plants were foliar-sprayed with fumed or Stöber SiO NPs dosing at -4 mg of NPs per plant for 5 days.
View Article and Find Full Text PDFArch Microbiol
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College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
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View Article and Find Full Text PDFPestic Biochem Physiol
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State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China; Key Laboratory for Agro-Biodiversity and Pest Control of Ministry of Education, College of Plant Protection, Yunnan Agricultural University, Kunming, China. Electronic ad
Mortierella spp. is emerging as a potential biocontrol agent against soil borne diseases due to its antagonistic effects on pathogens and strong environmental adaptability. However, the mechanisms by which it restructures rhizosphere microbial communities to achieve sustained pathogen suppression remain largely unresolved.
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