Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Clinical Applications in Psychiatry and Neurology

Clinical Applications in Psychiatry and Neurology

Flash Presentation

Brain Function & fMRI

Monday, 11 May 2026

Roof Terrace

16:10 - 17:36

Moderators: Matteo Mancini & Dinesh Deelchand

Session Number: 331-03

CME/CE Credit Available

Similar Sessions

Clinical applications of fMRI, mostly in the fields of psychiatry and neurology

Skill Level: Intermediate

16:10		331-03-001. Cortical excitability mapping stratifies neurobiological subtypes of schizophrenia with genetic and molecular signatures Sixuan Guo, Yu Zhao, Xiao Ji, Xiqin Liu, Luying Li, Ruoxi Xie, Xinlan Zhang, Su Lui, Qiyong Gong Huaxi MR Research Center (HMRRC), Institute of Radiology and Medical Imaging, Psychoradiology Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China Impact: This study establishes cortical excitability mapping as a novel neuroimaging biomarker bridging neural circuit dysfunction with molecular mechanisms in schizophrenia. By delineating biologically and clinically distinct subtypes, it advances precision psychiatry and informs personalized diagnosis and treatment strategies.
16:12		331-03-002. Functional brain abnormalities of different cognitive domains in schizophrenia: a meta-analysis of 232 task fMRI studies Xing Li, Jiaxin Zeng, Naici Liu, James Gold, Wenjing Zhang, Su Lui West China Hospital of Sichuan University, Chendu, China Impact: A meta-analysis of 232 task-based fMRI datasets revealed cognition related brain network alterations in schizophrenia, characterized by predominant abnormalities within the default mode and subcortical networks, with working memory changes showing the greatest overlap with overall cognitive impairments.
16:14		331-03-003. Localized Frequency Differences between Functional Brain Networks in Autism through Wavelet Analysis Sjir Schielen, Danny Ruijters, Albert Aldenkamp, Svitlana Zinger Eindhoven University of Technology, Eindhoven, Netherlands Impact: Analyzing connectivity between resting-state networks using the continuous-wavelet transform provides insight into localized time-frequency coherence without assuming signal stationarity. This study presents clinically interpretable group differences that relate to autism’s pathophysiology and motivate, e.g., further prognostic or diagnostic studies.
16:16		331-03-004. Cerebellar and cerebral BOLD patterns during social reciprocity: a 7T interactive drawing task fMRI study Amina Zidane Burgess, Dylan van der Waal, Ryan Muetzel, Matthijs de Buck, Tineke Backer van Ommeren, Sander Begeer, Wietske van der Zwaag Spinoza Centre for Neuroimaging, Amsterdam, Netherlands Impact: We use an interactive drawing task in 7T-fMRI to identify neural signatures of reciprocal behaviour. This research lays the foundation for studying social reciprocity in autism using a method suited to diverse verbal and cognitive profiles.
16:18		331-03-005. Genotype-Stratified Default Mode Network Hyperconnectivity as an Endophenotype of MDD: an MR imaging genetics study Paramdeep Singh All India Institute of Medical Sciences, New Delhi, India Impact: This study shows that TPH1 and DAOA gene polymorphisms cause Default Mode Network (DMN) hyperconnectivity in individuals with Major Depressive Disorder (MDD), through genetic & MRI data. Genotype-specific brain patterns reveal biomarkers for early depression diagnosis and personalized treatment.
16:20		331-03-006. Mapping striatal functional gradients and their associations with clinical symptoms in obsessive-compulsive disorder Lingxiao Cao, Hailong Li, Shuangwei Chai, Sarah Genon, Bin Li, Xiaoqi Huang Huaxi MR Research Center (HMRRC), Institute of Radiology and Medical Imaging, West China Hospital of Sichuan University, Chengdu, China Impact: Baseline striatal “dopaminergic” gradient predicted follow-up anxiety symptoms in obsessive-compulsive disorder, providing evidence of longitudinal brain–behavior associations and potential utility for tracking symptom trajectories and predicting treatment response.
16:22		331-03-007. Iron-Related FC and cognitive impairment in NMOSD: Neurotransmitter, Cellular and Metabolic Correlates Xi Li, Bing Liu, Fuyan Li, Longji Xu, Xiaoxia Lin, Jing Wang, Yuxi Liu, Wenjing zhang, Xiuzheng Yue, Xinwu Ma, Fuxin Ren, Fei Gao Shandong Provincial Hospital Affiliated to Shandong First Medical University (Shandong Provincial Hospital), Jinan, China Impact: By integrating QSM, rs-fMRI, and JuSpace, we link iron-driven FC alterations to cognition and neurotransmitter/cellular/metabolic fingerprints, offering a mechanistic account of NMOSD cognitive impairment and informing the development of targeted biomarkers and circuit-specific interventions.
16:24		331-03-008. Mapping Selective Brain Vulnerability through Dynamic Network Attacks in Neurodegenerative Disease Atiyeh Fotoohinasab, Nan-kuei Chen, Chidi Ugonna University of Arizona, Tucson, United States of America Impact: This study introduces a dynamic network-attack framework that maps selective brain vulnerability in Alzheimer’s disease, providing mechanistic insight into network failure, enabling early biomarker discovery, and guiding future studies on resilience and targeted intervention in neurodegeneration.
16:26		331-03-009. Cerebral Hypoperfusion Mediates Cadmium-Induced Cognitive Impairment: An ASL-MRI Study in Older Adults Zhentao Gao, Weiyin Vivian Liu, Jun Liu The Second Xiangya Hospital of Central South University, Changsha, China Impact: This study provides the first human evidence that cadmium induces region-specific cerebral hypoperfusion. Identifying reduced blood flow in the left superior temporal gyrus as a key mechanism offers a novel biomarker and vascular target for interventions against neurotoxicity.
16:28		331-03-010. Brain gradients in sensorineural hearing loss related cognitive impairments correlate with transcriptional signatures XIAOMIN XU Nanjing First Hospital, Nanjing, China Impact: This study provides new insights into the multifaceted nature of long-term sensorineural hearing loss related cognitive impairments, suggesting that gradient connectivity, ventricle volumes and transcriptional signatures are interconnected and may serve as potential biomarkers.
16:30		331-03-011. TMS as a complementary tool for functional motor mapping in stroke patients with limited fMRI task performance Evgenii Kim, Danyal Bhutto, Mohammad Daneshzand, Sergey Makaroff, Tejaswini Sudhakar, Dylan Edwards, Aapo Nummenmaa Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America Impact: Neuronavigated transcranial magnetic stimulation (nTMS) motor mapping with computational E-field modeling provides a practical, quantitative method to assess residual corticospinal function in stroke patients unable to perform task-based fMRI, enabling individualized motor network evaluation and guiding personalized rehabilitation strategies.
16:32		331-03-012. Neural mechanisms of symptom improvement in patients with primary dysmenorrhea undergoing iTBS treatment Huiping Liu, Yanran Chen, Huiyan Gan, Wanghuan Dun, Kai AI, Yi Zhu, Ming Zhang Xi'an Jiaotong University, Xi'an, China Impact: The first study that uses effective connectivity to investigate the utility of using iTBS with PDM. Provide new evidence for understanding the neural mechanisms that modulate PDM.
16:34		331-03-013. The effect of transcutaneous vagal nerve stimulation on capsaicin-induced visceral pain: a 7T fMRI study Gerhard Drenthen, Kimberly Hawinkels, Michelle Bosman, Abraham Beckers, Walter Backes, Jacobus Jansen, Daniel Keszthelyi Maastricht University, Maastricht, Netherlands Impact: Visceral pain (IBS/FD) remains difficult to treat due to the limited understanding of the gut–brain mechanisms. This work shows that non-invasive vagal nerve stimulation (VNS) reduces central pain responses, supporting VNS as a promising neuromodulatory therapy for visceral pain.
16:36		331-03-014. Inflammation-related alterations in brain network segregation and integration predict cognitive outcomes after mild TBI Ruiting Zhu, XINGPU QUAN, Gengchen Ye, Feng Liu, Lu Zhang, Jingling Qiang, Ronghui Wang, Yuzhe Huang, Ming Zhang, Xuan Niu The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China Impact: This study identified “inflammation-network-cognition” pathway as a potential biomarker for early diagnosis and prognosis assessment following mTBI. Furthermore, brain network analysis results provided a novel imaging biomarker for guiding prognostic monitoring and precision interventions in cognitive recovery after mTBI.
16:38		331-03-015. Dynamic Default Mode Network Disruption in Parkinson's Freezing of Gait: Co-Activation Pattern Analysis Neha Singhal, Taylor Davis, Gaurav Nitin Rathi, Jason Longhurst, Jessica K. Caldwell, Zoltan Mari, Virendra Mishra University of Alabama at Birmingham, Birmingham, United States of America Impact: This study demonstrates that freezing of gait arises from temporal brain network disruptions alongside observed static connectivity abnormalities. Dynamic fMRI-derived measures could guide therapeutic interventions targeting network-level dysfunction and inform clinical trials.
16:40		331-03-016. Resting-State Functional Electrical Properties Tomography (rsfEPT) in Parkinson’s Disease Jierong Luo, George Thomas, Rimona Weil, Karin Shmueli University College London, London, United Kingdom Impact: This is the first study exploring the clinical potential of resting-state functional conductivity connectivity. In comparison with established resting-state functional MRI (rsfMRI), rsfEPT provides a unique perspective, based on electrical conductivity, to reveal functional changes in Parkinson’s Disease.
16:42		331-03-017. Dissociation Between Behavioral Recovery and Network Reorganization in Adolescent Rats After Mild Traumatic Brain Injury Yun-Yun Liu, Pin-Hui Kuo, Ying-Wei Sung, Huai-An Kuo, Chia-Feng Lu, Yu-Chieh Jill Kao National Yang Ming Chiao Tung University, Taipei, Taiwan Impact: Regional functional connectivity and behavioral deficits following adolescent mTBI recover over time, yet persistent inter-regional network reorganization. These findings highlight the dissociation between apparent recovery and complete network normalization, emphasizing the need for longitudinal monitoring and targeted intervention strategies.