Poster No:
549
Submission Type:
Abstract Submission
Authors:
Sanju Koirala1, Michael Anderson2, Robert Hermosillo3, Gracie Grimsrud3, Eric Feczko3, Oscar Miranda-Dominguez3, Julia Moser3, Lucille Moore3, Kimberly Weldon3, Steven Nelson3, Theodore Satterthwaite4, Jed Elison3, Brenden Tervo-Clemmens3, Damien Fair3
Institutions:
1University of Minnesota, St Paul, MN, 2MIDB, Minneapolis, MN, 3University of Minnesota, Minneapolis, MN, 4University of Pennsylvania, Philadelphia, PA
First Author:
Co-Author(s):
Jed Elison
University of Minnesota
Minneapolis, MN
Introduction:
The human cerebral cortex is organized into a network of interconnected large-scale functional systems. These networks coordinate the complex mental processes that are often disrupted in psychiatric disorders. Extensive neuroimaging research has focused on characterizing network dysfunctions associated with various disorders. Understanding network dysfunction may be particularly critical during adolescence, a period of significant brain development that coincides with an increased vulnerability to mental health issues. Identifying reliable neural markers of psychiatric risk during this developmental stage is therefore essential.
While much research has explored the neural underpinnings of specific disorders, growing evidence highlights substantial overlap in the patterns of neural dysfunction across disorders, suggesting that psychiatric risk may transcend traditional diagnostic boundaries. For instance, recent findings have shown an expansion of the cortical surface area occupied by the salience network in individuals with depression (Lynch et al. 2024). However, the salience network has also been implicated in behaviors spanning multiple psychiatric conditions (Uddin et al., 2015; Peters et al., 2016). This study explores salience network expansion as a potential transdiagnostic marker of risk for diverse dimensions of psychopathology.
Methods:
Using data from the Adolescent Brain and Cognitive Development (ABCD) study (n = 5750, age 9-10), we delineated person-specific functional networks using a template matching procedure (Hermosillo et al. 2024) and calculated cortical surface area for each network. We extracted various dimensions of psychopathology from the Child Behavior Checklist (CBCL). This included subscales such as: total problems score, internalizing behaviors (anxious/depressed scale, withdrawal/depressed scale, somatic complaints), externalizing behaviors (rule-breaking behavior, aggressive behavior), as well as DSM-oriented scales (depression, anxiety, ADHD). General Additive Models (GAMs) were used to examine the relationship between variability in salience network size and various sub-scales of CBCL.
Results:
Replicating observations from Lynch et al.(2024), we found that salience network size was positively associated with depression (p<0.05). However, supporting a more general, transdiagnostic marker of psychiatric risk, salience network size was also positively associated with total problems scores, withdrawal/depression scores, as well as aggression, rule-breaking, and ADHD scores (p<0.05). No significant relationships were observed between salience network size and anxious/depressed scale, and DSM-5-oriented anxiety scores (p>0.05).
Conclusions:
Our results showed that variability in salience network size was associated with multiple dimensions of psychopathology, such that larger salience predicted higher/severe scores. Overall, our work suggests that salience network expansion could potentially act as a neural marker that captures shared psychopathological risk across a range of disorders in adolescence.
Disorders of the Nervous System:
Psychiatric (eg. Depression, Anxiety, Schizophrenia) 1
Modeling and Analysis Methods:
fMRI Connectivity and Network Modeling 2
Keywords:
Anxiety
Attention Deficit Disorder
Cognition
Development
DISORDERS
FUNCTIONAL MRI
Modeling
Psychiatric Disorders
Systems
1|2Indicates the priority used for review
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Please indicate below if your study was a "resting state" or "task-activation” study.
Resting state
Healthy subjects only or patients (note that patient studies may also involve healthy subjects):
Patients
Was this research conducted in the United States?
Yes
Are you Internal Review Board (IRB) certified?
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Yes, I have IRB or AUCC approval
Were any human subjects research approved by the relevant Institutional Review Board or ethics panel?
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Yes
Were any animal research approved by the relevant IACUC or other animal research panel?
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Not applicable
Please indicate which methods were used in your research:
Functional MRI
For human MRI, what field strength scanner do you use?
3.0T
Provide references using APA citation style.
Uddin, L. (2014). Salience processing and insular cortical function and dysfunction. Nature Reviews. Neuroscience, 16, 55–61.
Lynch, C. J.(2024). Frontostriatal salience network expansion in individuals in depression. Nature. https://doi.org/10.1038/s41586-024-07805-2
Hermosillo, R. J. M.(2024). A precision functional atlas of personalized network topography and probabilities. Nature Neuroscience. https://doi.org/10.1038/s41593-024-01596-5
Peters, S. K.(2016). Cortico-striatal-thalamic loop circuits of the salience network: A central pathway in psychiatric disease and treatment. Frontiers in Systems Neuroscience, 10, 104.
No