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Altered static and dynamic functional network connectivity in individuals with subthreshold depression: a large-scale resting-state fMRI study.

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Title: Altered static and dynamic functional network connectivity in individuals with subthreshold depression: a large-scale resting-state fMRI study.
Authors: Liao, Dan (AUTHOR), Liang, Li-Song (AUTHOR), Wang, Di (AUTHOR), Li, Xiao-Hai (AUTHOR), Liu, Yuan-Cheng (AUTHOR), Guo, Zhi-Peng (AUTHOR), Zhang, Zhu-Qing (AUTHOR), Liu, Xin-Feng (AUTHOR)
Source: European Archives of Psychiatry & Clinical Neuroscience. Jun2025, Vol. 275 Issue 4, p1099-1112. 14p.
Subjects: Functional connectivity, Mental depression, Large-scale brain networks, Frontoparietal network, Brain imaging
Abstract: Dynamic functional network connectivity (dFNC) is an expansion of static FNC (sFNC) that reflects connectivity variations among brain networks. This study aimed to investigate changes in sFNC and dFNC strength and temporal properties in individuals with subthreshold depression (StD). Forty-two individuals with subthreshold depression and 38 healthy controls (HCs) were included in this study. Group independent component analysis (GICA) was used to determine target resting-state networks, namely, executive control network (ECN), default mode network (DMN), sensorimotor network (SMN) and dorsal attentional network (DAN). Sliding window and k-means clustering analyses were used to identify dFNC patterns and temporal properties in each subject. We compared sFNC and dFNC differences between the StD and HCs groups. Relationships between changes in FNC strength, temporal properties, and neurophysiological score were evaluated by Spearman's correlation analysis. The sFNC analysis revealed decreased FNC strength in StD individuals, including the DMN-CEN, DMN-SMN, SMN-CEN, and SMN-DAN. In the dFNC analysis, 4 reoccurring FNC patterns were identified. Compared to HCs, individuals with StD had increased mean dwell time and fraction time in a weakly connected state (state 4), which is associated with self-focused thinking status. In addition, the StD group demonstrated decreased dFNC strength between the DMN-DAN in state 2. sFNC strength (DMN-ECN) and temporal properties were correlated with HAMD-17 score in StD individuals (all p < 0.01). Our study provides new evidence on aberrant time-varying brain activity and large-scale network interaction disruptions in StD individuals, which may provide novel insight to better understand the underlying neuropathological mechanisms. [ABSTRACT FROM AUTHOR]
Copyright of European Archives of Psychiatry & Clinical Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Altered static and dynamic functional network connectivity in individuals with subthreshold depression: a large-scale resting-state fMRI study.
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  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Liao%2C+Dan%22&quot;&gt;Liao, Dan&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Liang%2C+Li-Song%22&quot;&gt;Liang, Li-Song&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Wang%2C+Di%22&quot;&gt;Wang, Di&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Li%2C+Xiao-Hai%22&quot;&gt;Li, Xiao-Hai&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Liu%2C+Yuan-Cheng%22&quot;&gt;Liu, Yuan-Cheng&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Guo%2C+Zhi-Peng%22&quot;&gt;Guo, Zhi-Peng&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Zhang%2C+Zhu-Qing%22&quot;&gt;Zhang, Zhu-Qing&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Liu%2C+Xin-Feng%22&quot;&gt;Liu, Xin-Feng&lt;/searchLink&gt; (AUTHOR)
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  Data: Dynamic functional network connectivity (dFNC) is an expansion of static FNC (sFNC) that reflects connectivity variations among brain networks. This study aimed to investigate changes in sFNC and dFNC strength and temporal properties in individuals with subthreshold depression (StD). Forty-two individuals with subthreshold depression and 38 healthy controls (HCs) were included in this study. Group independent component analysis (GICA) was used to determine target resting-state networks, namely, executive control network (ECN), default mode network (DMN), sensorimotor network (SMN) and dorsal attentional network (DAN). Sliding window and k-means clustering analyses were used to identify dFNC patterns and temporal properties in each subject. We compared sFNC and dFNC differences between the StD and HCs groups. Relationships between changes in FNC strength, temporal properties, and neurophysiological score were evaluated by Spearman&#39;s correlation analysis. The sFNC analysis revealed decreased FNC strength in StD individuals, including the DMN-CEN, DMN-SMN, SMN-CEN, and SMN-DAN. In the dFNC analysis, 4 reoccurring FNC patterns were identified. Compared to HCs, individuals with StD had increased mean dwell time and fraction time in a weakly connected state (state 4), which is associated with self-focused thinking status. In addition, the StD group demonstrated decreased dFNC strength between the DMN-DAN in state 2. sFNC strength (DMN-ECN) and temporal properties were correlated with HAMD-17 score in StD individuals (all p &lt; 0.01). Our study provides new evidence on aberrant time-varying brain activity and large-scale network interaction disruptions in StD individuals, which may provide novel insight to better understand the underlying neuropathological mechanisms. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of European Archives of Psychiatry &amp; Clinical Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s00406-024-01871-3
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 1099
    Subjects:
      – SubjectFull: Functional connectivity
        Type: general
      – SubjectFull: Mental depression
        Type: general
      – SubjectFull: Large-scale brain networks
        Type: general
      – SubjectFull: Frontoparietal network
        Type: general
      – SubjectFull: Brain imaging
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      – TitleFull: Altered static and dynamic functional network connectivity in individuals with subthreshold depression: a large-scale resting-state fMRI study.
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            NameFull: Liao, Dan
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              Text: Jun2025
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              Y: 2025
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