Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Insights into Psychiatric Disorders and the Human Connectome

Insights into Psychiatric Disorders and the Human Connectome

Oral

Neuro B

Wednesday, 13 May 2026

Ballroom West

08:20 - 10:10

Moderators: Roland Henry & Anouk Schrantee

Session Number: 505-02

No CME/CE Credit

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This session highlights how MRI techniques, including structural, functional and diffusion imaging are used to map brain networks (the connectome) and identify connectivity alterations associated with psychiatric disorders improving insights into disease mechanisms, biomarkers and treatment strategies.

08:20		505-02-001. Identifying network states linked to the therapeutic efficacy of deep brain stimulation for OCD David Mikhael, Natalya Slepneva, Starlette Khim, Tenzin Norbu, Philip Starr, Moses Lee, Melanie Morrison University Of California, San Francisco (UCSF), United States of America Impact: We found that therapeutic DBS in OCD reduced recruitment of a default mode–like state and increased connectivity of a salience–interoceptive state. Moving beyond trial-and-error DBS optimization, these dynamic biomarkers can aid data-driven DBS optimization for network-specific therapeutic engagement.
08:31		505-02-002. Abnormal cortical topographic patterns associated with auditory verbal hallucination in first-episode schizophrenia Ziyang Gao, Yuan Xiao, Su Lui Huaxi MR Research Center (HMRRC), Institute of Radiology and Medical Imaging, West China Hospital of Sichuan University, Chengdu, China Impact: By linking functional gradient disruptions to specific gene expression profiles and neurotransmitter systems, Our work depicts the comprehensive landscape of topographic abnormalities associated with AVH in schizophrenia, highlighting the role of disrupted cortical hierarchy and network integration in its pathophysiology.
08:42		505-02-003. Mapping intrinsic neural timescale alterations in major depressive disorder Yao Ge, Lijuan Chen, Bo Liu, Xiaojuan Lv, Yan Bai, Wei Wei, 亚平吴, Li Kaixin, MENGZHU WANG, Meiyun Wang Zhengzhou University People's Hospital & Henan Provincial People's Hospital, Zhengzhou, China Impact: Intrinsic neural timescales-based analysis revealed temporal neural dynamics as a complementary neurophysiological dimension for characterizing major depressive disorder. These findings provide quantitative diagnostic biomarkers and mechanistic insights into elucidating glutamatergic-GABAergic dysregulation, advancing precision psychiatry frameworks.
08:53		505-02-004. Shared and specific structural covariance network disruptions in adolescent and adult major depressive disorder Qian Zhang, Baolin Wu, Yuanyuan Li, Youjin Zhao, Qiyong Gong Huaxi MR Research Center (HMRRC), Institute of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China Impact: Our study identified shared and age-specific alterations in structural covariance networks in adolescent and adult MDD, revealing age-dependent connectivity and topological patterns with distinct functional and clinical relevance, advancing understanding of MDD neurodevelopment and informing age-tailored interventions.
09:04		505-02-005. Longitudinal structural and functional remodeling of brain networks in treatment-resistant depression with SCC DBS JungHo Cha, Ha Neul Song, Martijn Figee, Patricio Riva-Posse, Brian Kopell, Jaemin Shin, Suchandrima Banerjee, Helen Mayberg, Ki Sueng Choi Icahn School of Medicine at Mount Sinai, New York, United States of America Impact: This study provides longitudinal MRI evidence that SCC-DBS induces rapid and coordinated structural and functional neuroplasticity in TRD. These findings identify early imaging biomarkers of therapeutic response and support the development of personalized, MRI-guided adaptive neuromodulation strategies for TRD.
09:15		505-02-006. Altered functional connectivity and related behavioral–cognitive pattern in children with depressive genetic risk and symptom Fenghua Long, Beisheng Yang, Fei li Huaxi MR Research Center (HMRRC), Institution of Radiology and Medical Imaging, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, P.R. China., Chengdu, China Impact: This study revealed shared and distinct effects of genetic risk and depressive symptoms on brain function of children. Sparse canonical correlation analysis identified neural markers associated with risk or symptoms, offering potential targets for early screening and psychological intervention.
09:26		505-02-007. Aberrant Brain Network Topology in Youth with a High Risk for Bipolar disorder: A DTI Structural Connectome Study Haoran Xu, Xiao Li, Qiyong Gong, Melissa DelBello, Manpreet Singh Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China Impact: These findings reveal early structural connectome alterations in youth at familial risk for BD, providing potential biomarkers for identifying individuals most vulnerable to illness onset and informing targeted preventive interventions to maintain cognitive-emotional regulation during adolescence.
09:37		505-02-008. Constructing the Human Brain Metabolic Connectome with MR Spectroscopic Imaging Federico Lucchetti, Edgar Céléreau, Paul Klauser, Pascal Steullet, Yasser Alemán-Gómez, Patric Hagmann, Antoine Klauser Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland Impact: An MRI-only metabolic connectome exposes a robust caudo-rostral gradient and principal paths that are measurably disrupted in psychosis risk, providing a fast, non-ionizing, multi-metabolite biomarker candidate complementary to diffusion and BOLD-based connectomics.
09:48		505-02-009. Directed Structural Connectivity Inferred from Network Diffusion in Humans and Non-Human Primates Benjamin Sipes, Ashish Raj University of California San Francisco, San Francisco, United States of America Impact: White-matter pathways have directionality that likely shapes disease progression, but diffusion MRI cannot observe it. We introduce a physics-informed structure–function model that estimates directed structural connectivity, showing recovery in simulation, concordance with macaque tracers, and fair-to-excellent test–retest reliability in humans.