ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

ISMRM & ISMRT 2025 Annual Meeting & Exhibition

Digital Poster

Neurodegenerative Diseases

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Neurodegenerative Diseases
Digital Poster
fMRI
Monday, 12 May 2025
Exhibition Hall
09:15 -  10:15
Session Number: D-120
No CME/CE Credit

 
Computer Number: 33
1562. Altered neurovascular coupling in Parkinson's disease with olfactory dysfunction.
Z. Li, B. Chen, G. Fan, Y. Jiang
The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China, China
Impact: The results of the present study explain the altered neurovascular coupling in olfactory dysfunction in PD and contribute to the elucidation of the possible mechanisms underlying the development of olfactory dysfunction.
 
Computer Number: 34
1563. Using rs-fMRI and contrastive learning to explore changes in the Parkinson's disease brain network and correlations with gait impairment
R. An, X. Wei, L. Dong
Beijing Friendship Hospital Affiliated to Capital Medical University, Beijing, China
Impact: This study demonstrated the higher classification efficacy of BrainNetCNN+CL as well as the large-scale brain network alterations in PD patients.
 
Computer Number: 35
1564. Impaired interhemispheric synchrony in Parkinson's disease patients with progressive cognitive impairment
X. Wang, Q. Yu, Y. Zhou, F. Yan
Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Impact: z-VMHC values within the MTG and MOG and calcarine cortex appeared to be potential neuroimaging features to distinguish pPD patients from sPD groups.
 
Computer Number: 36
1565. Distinct Dynamic Functional Connectivity Patterns in Tremor-Dominant and Gait Disturbance Subtypes of Parkinson’s Disease
Y. Zhou, W. Wei, X. Wang, K. Ding, S. Liu, M. Wang, K. Li, X. Zhang, m. wang
Department of Radiology, Xinxiang Medical University People's Hospital & Henan Provincial People's Hospital, zhengzhou, China
Impact: These findings may inform personalized treatment strategies and promote  further inquiries into neural connectivity variations in Parkinson's disease subtypes.
 
Computer Number: 37
1566. Abnormal Multilayer Brain Network in Early-Stage Akinetic-Rigid Parkinson’s Disease
K. Ding, Y. Shen, Y. Ge, X. Wang, Y. Bai, W. Wei, X. Zhang, M. Wang, K. Li, M. Wang
Henan University People's Hospital & Henan Provincial People's Hospital, Zhengzhou, China
Impact: AR-PD patients showed abnormal dynamic brain network switching and increased modularity, linked to clinical measures like motor function.
 
Computer Number: 38
1567. Altered large-scale global brain networks in distinct motor subtypes of Parkinson's disease.
M. Guo, Y. Jiang, G. Fan
The First Affiliated Hospital of China Medical University., Shenyang, China
Impact: These findings clarify neuroimaging differences across PD motor subtypes, potentially reveal early imaging biomarkers, and offer a new perspective to support clinical diagnosis and treatment.
 
Computer Number: 39
1568. Integrating effective and functional connectivity shows disrupted oscillatory and causal dynamics in multiple sclerosis
R. Lorenzi, G. Korkmaz, F. Ravera, A. Alahmadi, R. Samson, E. D'Angelo, F. Palesi, A. Toosy, C. Gandini Wheeler Kingshott
Università di Pavia, Pavia, Italy
Impact: Integrating effective and functional connectivity detects shifts between causal-driven and oscillation-driven dynamics in physiological and pathological conditions. This novel approach offers an opportunity to develop rehabilitation protocols based on the interplay between neuronal activity and brain oscillations.
 
Computer Number: 40
1569. Dynamic Causal Modelling identifies abnormal effective connectivity between supratentorial cortex and cerebellum in Multiple Sclerosis.
G. Korkmaz, R. Lorenzi, A. Alahmadi, F. Ravera, R. Samson, E. D’Angelo, F. Palesi, A. Toosy, C. Gandini Wheeler-Kingshott
University of Pavia, Pavia, Italy
Impact: Investigating how MS affects the cortical and cerebellar involvement during a visuomotor task provides better understanding of excitatory/inhibitory mechanisms and unravel the disease impact on brain networks. DCM can lead to more mechanistic insights into MS progression and therapeutic targets.
 
Computer Number: 41
1570. Preliminary Analysis of rTMS-iTBS effects on Resting-State Functional Connectivity in Mild Cognitive Impairment: Targeting DLPFC vs. LPC
D. Kang, K. Welker, M-H In, J. Huston III, M. Lapid, Y. Shu
Mayo Clinic, Rochester, United States
Impact: Understanding the target-dependent effects of iTBS may help personalize treatment strategies for mild cognitive impairment, potentially leading to optimized cognitive outcomes for patients with neurodegenerative conditions.
 
Computer Number: 42
1571. Correlation of cognitive reserve, neurovascular coupling and cognitive function in patients with mild cognitive impairment
w. yang, l. zhou, k. Ai, j. zhang
The Second Hospital of Lanzhou University, gansu, China
Impact: Individuals with higher CR demonstrate better cognitive function levels. Differential neurovascular coupling in specific brain regions between HC and MCI groups suggests a potential neural mechanism by which CR influences cognitive function.
 
Computer Number: 43
1572. Abnormal static and dynamic functional connectivity in the triple network model of Alzheimer's disease
Q. Feng, L. Wang, Z. Ding, Q. Wen
The First People's Hospital of Hangzhou, China, Hangzhou, China
Impact:

The alterations of sFC and dFC values within the triple network model are helpful to study the potential pathophysiology of AD and aMCI, and might be important biomarkers to improve the diagnostic efficiency of AD and aMCI.

 
Computer Number: 44
1573. Phase synchronization between task-positive and task-negative brain networks using Hilbert Huang Transform for Alzheimer’s disease
P. Pattiam Giriprakash, F. Cieri, X. Zhuang, Z. Yang, C. Han, D. Cordes
Cleveland Clinic, Las Vegas, United States
Impact: Phase synchronization via EMD offers brain connectivity analysis with higher temporal resolution and frequency specificity. It could track network disruptions during disease progression. It could also highlight the influence on amyloid deposition, revealing insights on pathophysiology mechanisms involved in AD.
 
Computer Number: 45
1574. Poorer cerebrovascular reactivity in cognitively intact individuals with APOE4 detected using resting state BOLD-fMRI
Z. Potvin-Jutras, P-L Tremblay, R. N. Spreng, S. Villeneuve, C. Steele, C. Gauthier, P-A Research Group
Concordia University, Montreal, Canada
Impact: These findings suggest that individuals without cognitive impairment who carry the APOE4 genotype present lower cerebrovascular reactivity in multiple gray matter regions compared to non-carriers. Cerebrovascular reactivity may be an early biomarker of cerebrovascular dysfunction in individuals with APOE4 alleles.
 
Computer Number: 46
1575. Functional connectivity-based sub-network changes related to Alzheimer’s disease progression based on group cohesive parcellation of rsfMRI
A. Nemani, M. Lowe
Cleveland Clinic, Cleveland, United States
Impact: The data demonstrate increasing disorganization within the brain with potential compensatory reorganization in other sub-networks.
 
Computer Number: 47
1576. Differential Cerebrovascular Reactivity in the Precuneus: A Resting-State fMRI Study of Alzheimer's Disease and Mild Cognitive Impairment
x. tang, L. Wang, Q. Feng, H. Hu, Q. Wen, Y. Zhu, Z. Liao, Z. Ding, X. Xu
School of Medical Imaging, Hangzhou Medical College, Hangzhou, China
Impact: Cerebrovascular reactivity (CVR) obtained by rs-fMRI in the precuneus can reflect the cognitive function impairment in patients with MCI and AD, and might be a potential biomarker for assessing cognitive dysfunction.
 
Computer Number: 48
1577. Reduced relative harmonic power of diastolic cardiovascular impulses in Alzheimer’s disease
J. Kananen, A. Koivula, V. Perkiömäki, V. Korhonen, M. Järvelä, J. Kruger, V. Kiviniemi
University of Oulu, Oulu, Finland
Impact: This study introduces new method, a frequency-based approach to assess cardiovascular brain impulses in Alzheimer’s disease (AD) patients. Findings reveal altered impulse patterns in regions usually affected by AD, offering potential biomarkers for understanding AD’s impact on brain hydrodynamics.
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