505-02-007 ISMRM Abstract

Aberrant Brain Network Topology in Youth with a High Risk for Bipolar disorder: A DTI Structural Connectome Study

Primary: Neuro - Psychiatric Disorders

Secondary: Diffusion - DWI/DTI/DKI

505-02-007 · Insights into Psychiatric Disorders and the Human Connectome · Wednesday, 13 May, 8:20 AM–10:10 AM · Ballroom West

Keywords: Structural Connectivity White Matter Bipolar disorder Graph theory Familial risk

Accepted

Haoran Xu ^1,2,3, Xiao Li³, Qiyong Gong¹, Melissa P DelBello², Manpreet K Singh⁴

¹Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China

²Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, United States of America

³Department of Interventional Therapy, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

⁴Department of Psychiatry and Behavioral Sciences, University of California Davis School of Medicine, Sacramento, United States of America

Presenting Author: Haoran Xu

Synopsis

Motivation:

Goals:

Approach:

Results:

Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

References

1. Bienvenu OJ, Davydow DS, Kendler KS. Psychiatric 'diseases' versus behavioral disorders and degree of genetic influence. Psychol Med. 2011;41(1):33-40. doi:10.1017/S003329171000084X [doi]

2. Phillips ML, Ladouceur CD, Drevets WC. A neural model of voluntary and automatic emotion regulation: implications for understanding the pathophysiology and neurodevelopment of bipolar disorder. Mol Psychiatry. 2008;13(9):829-857. doi:10.1038/mp.2008.65 [doi]

3. Menon V. Large-scale brain networks and psychopathology: a unifying triple network model. Trends Cogn Sci. 2011;15(10):483-506. doi:10.1016/j.tics.2011.08.003 [doi]

4. Honeycutt DC, DelBello MP, Strawn JR, et al. A Double-Blind Randomized Trial to Investigate Mechanisms of Antidepressant-Related Dysfunctional Arousal in Depressed or Anxious Youth at Familial Risk for Bipolar Disorder. J Pers Med. 2022;12(6):1006. Published 2022 Jun 20. doi:10.3390/jpm12061006 [doi]

5. Wang J, Wang X, Xia M, Liao X, Evans A, He Y. GRETNA: a graph theoretical network analysis toolbox for imaging connectomics. Front Hum Neurosci. 2015;9:386. Published 2015 Jun 30. doi:10.3389/fnhum.2015.00386 [doi]

6. Gao Z, Xiao Y, Zhu F, Tao B, Yu W, Lui S. The whole-brain connectome landscape in patients with schizophrenia: A systematic review and meta-analysis of graph theoretical characteristics. Neurosci Biobehav Rev. 2023;148:105144. doi:10.1016/j.neubiorev.2023.105144 [doi]

7. Nery FG, Monkul ES, Lafer B. Gray matter abnormalities as brain structural vulnerability factors for bipolar disorder: A review of neuroimaging studies of individuals at high genetic risk for bipolar disorder. Aust N Z J Psychiatry. 2013;47(12):1124-1135. doi:10.1177/0004867413496482 [doi]

8. Fischer AS, Holt-Gosselin B, Hagan KE, et al. Intrinsic Connectivity and Family Dynamics: Striatolimbic Markers of Risk and Resilience in Youth at Familial Risk for Mood Disorders. Biol Psychiatry Cogn Neurosci Neuroimaging. 2022;7(9):855-866. doi:10.1016/j.bpsc.2022.02.009 [doi]

9. Collin G, Scholtens LH, Kahn RS, Hillegers MHJ, van den Heuvel MP. Affected Anatomical Rich Club and Structural-Functional Coupling in Young Offspring of Schizophrenia and Bipolar Disorder Patients. Biol Psychiatry. 2017;82(10):746-755. doi:10.1016/j.biopsych.2017.06.013 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/505-02-007