Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - fMRI: Applications in Neurology and Psychiatry I

fMRI: Applications in Neurology and Psychiatry I

Digital Poster

Brain Function & fMRI

Thursday, 14 May 2026

Digital Posters Row F

08:30 - 09:25

Session Number: 665-01

No CME/CE Credit

Similar Sessions

This session will cover the fMRI application to neurological disorders.

		665-01-001. Hyper-reactivity to olfactory stimulation in the olfactory bulb in early Parkinson’s disease patients Yu Luo, Jasper Duan, Kacie Cheng, Christopher Chen, Kevin Teng, Xinyi Zhou, Yuanqi Sun, Yuhan Bian, Adrian Paez, Liana Rosenthal, Alexander Pantelyat, Vidyulata Kamath, Jun Hua Johns Hopkins University School of Medicine, Baltimore, United States of America Impact: Loss of smell often occurs in Parkinson’s disease (PD). This study shows fMRI signals changes measured from early PD patients. Using advanced fMRI, this is a first study to show disease-related fMRI changes in the human olfactory bulb in vivo.
		665-01-002. Track-weighted Dynamic Functional Connectivity Unravels the Structural-Functional Coupling in Treated Glioma Survivors Joppe Van Rumst, Rob Colaes, Laurien De Roeck, Charlotte Sleurs, Sabine Deprez, Daan Christiaens, Stefan Sunaert, Maarten Lambrecht, Ahmed Radwan KU Leuven, Leuven, Belgium Impact: This study demonstrates that integrating structural and functional connectivity reveals tumor/treatment-related brain network disruptions in glioma survivors. This integration offers novel insights into the neural mechanisms of cognitive deficits, potentially providing novel regions to spare during radiotherapy, mitigating cognitive decline.
		665-01-003. Cerebrovascular Reactivity in Parkinson’s Disease and Its Association With Hoehn and Yahr Stage Jiajue Jiang, Yueluan Jiang, Zixuan Lin, Boyu Chen The First Hospital of China Medical University, Shenyang, China Impact: This study demonstrates the potential of resting-state fMRI–based cerebrovascular reactivity (rs-fMRI CVR) mapping as a noninvasive tool for detecting vascular dysfunction and disease progression in Parkinson’s disease.
		665-01-004. Relationships between altered brain activity, childhood trauma, neurotransmitter, and genetic traits in gender dysphoria Ruoyi Chen, Guanmao Chen, wei cui, Ying Wang The First Affiliated Hospital of Jinan University, Guangzhou, China Impact: From a clinical perspective, these findings highlight childhood trauma as an important component of an early intervention strategy to alleviate the psychological and emotional difficulties of TW individuals.
		665-01-005. Differential Changes in Short- and Long-Range Brain Temporal Dynamics after Partial Sleep Deprivation Fan Yang, Siqi Cai, Chunxiang Jiang, Lijuan Zhang Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China Impact: Partial sleep deprivation (PSD) leads to concurrent elevation of Hurst exponent and intrinsic neural timescale with differential distributions, indicating a shared susceptibility and heterogeneous response of the brain dynamics in balancing flexibility and stability following PSD.
		665-01-006. The potential of neuroimaging to enhance the optimization of personalized tDCS interventions for aphasia rehabilitation Venkatagiri Krishnamurthy, Elizabeth Tibus, Maryanne Weatherill, Amy Rodriguez, Josseirys Valentin Rivera, Bruce Crosson, Lisa Krishnamurthy Emory University School of Medicine, Atlanta, United States of America Impact: Implementing intensive speech-therapies for aphasia can be challenging in clinical settings. Neuromodulation techniques, such as tDCS, may not only help reduce treatment duration but also be cost-efficient, particularly when the optimization of tDCS can be personalized using simple neuroimaging techniques.
		665-01-007. Structural and Functional Alterations in Sensory Motor Networks in Breast Cancer Patients Undergoing Treatments Leonardo Tang, Quanquan Gu, Claire Gong, Nilo Vafaie, Tianhe Wu, Philip Kragel, Jinbing Bai, Hui Mao Emory University School of Medicine, Atlanta, United States of America Impact: The findings of this study not only strengthen the role of MRI biomarkers in cancer-related cognitive impairment but also reveal functional alterations in sensorimotor regions, offering new insights for development of targeted neurorehabilitation strategies to address previously overlooked sensorimotor deficits.
		665-01-008. Hippocampal functional radiomics features for diagnosing cognitively impaired patients with Parkinson's disease Zeng Wei, Xiao Liang, Jiankun Dai, Fuqing Zhou The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China Impact: Our study showed hippocampal radiomics features derived from rs-fMRI indices could distinguish cognitively impaired from cognitively preserved Parkinson's disease (PD). Therefore, rs-fMRI may be use as a non-invasive tool to provide objective and accuracy diagnosis of cognitively impaired PD patients.
		665-01-009. Decoding Network-Level Reorganization in Sudden Sensorineural Hearing Loss: A Multilevel Functional Connectivity MRI Study Wenliang Fan Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China Impact: This study provides a multilevel connectomic framework revealing widespread network reorganization in SSNHL. The results highlight disrupted sensory–attention interactions and compensatory connectivity changes, offering neuroimaging biomarkers that may guide clinical evaluation and rehabilitation strategies for sudden hearing loss.
		665-01-010. Age-related functional network alterations and molecular signatures in attention-deficit/hyperactivity disorder Haoran Li, Xinyi Chen, 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 reveals age-dependent functional connectivity alterations in ADHD centered on a subcortical-insula-DMN circuit across different large-scale networks, anchored in transcriptomic and neurotransmitter mechanisms that link functional network reorganization to neurodevelopmental differences.
		665-01-011. fMRI guided Neuromodulation - A Predictive model in Stroke Upper limb Rehabilitation ASHU BHASIN, Sparsh Singh, Gulafshan Iqbal, Vishnu VY, S Senthil Kumaran, M V Padma Srivastava All India Institute of Medical Sciences, New Delhi, India Impact: Combining tDCS with fMRI would help develop personalised tDCS protocols tailored for each patient. The stimulation-induced changes in the mechanisms of motor recovery, functional gains, and quality of life has an impact for stroke survivors.
		665-01-012. Delayed Changes in Posterior Visual and Insula-Frontal Connectivity on Buprenorphine Maintenance Revealed by Dynamic ICA. Nisha Chauhan, Anju Dhawan, Biswadip Chatterjee, Siddharth Sarkar, Mani Kalaivani, S Senthil Kumaran All India Institute of Medical Sciences, New Delhi, India Impact: Using Dynamic ICA, this study reveals delayed shifts in connectivity from posterior visual to insula-frontal control circuits during buprenorphine maintenance, highlighting the need for extended follow-up and future work linking delayed neural reorganization with clinical outcomes and recovery trajectories.
		665-01-013. Identifying Risk Factors for Cancer-Related Cognitive Decline using Multimodal MRI Rob Colaes, Gwen Schroyen, Ahmed Radwan, Rebeca Alejandra Gavrila Laic, Charlotte Sleurs, Shannon Helsper, Uwe Himmelreich, Sigrid Hatse, Ann Smeets, Sabine Deprez, Stefan Sunaert KU Leuven, Leuven, Belgium Impact: This study demonstrates the potential of integrating multimodal MRI with machine learning to predict cognitive decline in patients with breast cancer, supporting clinicians in early identification of high-risk individuals and initiating timely interventions to mitigate cognitive decline.
		665-01-014. MRI in Clinical Practice: Dimensionality reduction and Machine-Learning decipheress therapy response in multi-parametric MRI Mageshwar Selvakumar, Koray Tascilar, Arnd Dörfler, Georg Schett, Jürgen Rech, Andreas Hess Friedrich Alexander University, Erlangen, Germany Impact: We identified high baseline fMRI during painful joint compression as a powerful biomarker to predict TNFi response in RA. Our novel, cross-validated ML framework achieved 95% accuracy, confirming fMRI as the unique predictor, paving the way for personalized RA therapy.