Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026

Digital Poster

MRI Markers of Dementia

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MRI Markers of Dementia
Digital Poster
Neuro A
Wednesday, 13 May 2026
Digital Posters Row G
09:15 - 10:10
Session Number: 566-02
No CME/CE Credit
Various types of changes occurring in dementia, predominantly not related to AD.

  Figure 566-02-001.  Image quality assessment of a comprehensive ultra-fast MRI protocol for dementia diagnosis and monitoring
Haroon Chughtai, David Thomas, Miguel Rosa-Grilo, Carole Sudre, Bhavana Solanky, Millie Beament, Daniel Nicolas Splitthoff, Daniel Alexander, Frederik Barkhof, Nick C. Fox, Catherine J. Mummery, Geoff Parker
University College London, London, United Kingdom
Impact: While clinically non-inferior for diagnosis, quantitative image quality reductions in ultra-fast protocols necessitate further validation for research applications and development of acceleration-aware post-processing. This characterisation informs protocol selection and identifies specific targets for post-processing optimization in accelerated dementia MRI.
  Figure 566-02-002.  Quantitative Susceptibility Mapping Reveals Brainstem Iron Changes in Dementia with Lewy bodies
Lorenzo Motta, Greta Venturi, Elettra Capogna, Luisa Sambati, Davide Braghittoni, Lucia Guidi, Annalena Venneri, Federica Provini, Micaela Mitolo, Raffaele Lodi, Caterina Tonon
IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
Impact: This work highlights QSM’s potential as a sensitive in vivo biomarker for detecting region-specific iron-related neurodegeneration in Dementia with Lewy bodies, bridging brainstem pathology with clinical manifestations and paving the way for earlier diagnosis and targeted therapeutic interventions.
  Figure 566-02-003.  Quantitative and Visual FDG-PET/MRI Integration for Differentiating Major Dementia Syndromes
Sonja Petrovic, Mathilde Nguyen, François-Xavier Lejeune, Nicolas Villain, Marie Odile Habert, Rivka Bendrihem, Aurelie Kas, Nadya Pyatigorskaya
Paris Brain Institute - ICM, Paris, France
Impact: By applying identical regional frameworks to visual and quantitative analyses, this study reveals their complementary diagnostic contributions. Visual reading captures clinical patterns, while quantitative metrics add objectivity and reproducibility, together enhancing multimodal PET and structural MRI interpretation in dementia.
  Figure 566-02-004.  Impact of Cardiovascular-Kidney-Metabolic Syndrome on Dementia Subtypes and Brain Volume Changes
Yanfang Tan, Yu Li, Wenbo Yang, Lijun Song, Boyan Xu, Mingan Li, Xiaoyan Bai, Zhenghan Yang, Zhenchang Wang, Han Lv, Hao Wang, Min Li
Beijing Friendship Hospital, Capital Medical University, beijing, China
Impact: Brain MRI revealed stage-dependent brain atrophy and increased white matter hyperintensities in cardiovascular-kidney-metabolic syndrome, paralleling dementia risk. These imaging biomarkers provide mechanistic insight and potential early indicators for targeted prevention in individuals with progressive metabolic-vascular disease.
  Figure 566-02-005.  Selective Thalamic Atrophy Linked to White Matter Hyperintensities and β-Amyloid in Cerebral Small Vessel Disease
Zhenyu Cheng, Meng Li, Jiaxiang Xin, Jing Li, Nan Zhang, Yiwen Chen, Pengcheng Liang, Changhu Liang, Lingfei Guo
Binzhou Medical University, Yantai City, Shandong Province, China
Impact: This study identifies distinct thalamic subregional atrophy driven by strategic white matter hyperintensities and β-amyloid burden in cerebral small vessel disease, highlighting new imaging biomarkers and potential intervention targets for preventing cognitive decline in vascular and mixed dementias.
  Figure 566-02-006.  Diffusion-Based Inpainting Enables Reliable Detection of New Cerebral Microbleeds Without Longitudinal MRI Data
Jonathan Disselhorst, Kaman Chung, Bianca Mazini, Silvia Pistocchi, Punith Bidarakka Venkategowda, Giulia Bommarito, Vincent Dunet, Gilles Allali, Bénédicte Maréchal
Siemens Healthineers International AG, Lausanne, Switzerland
Impact: Our diffusion-model based approach enables more reliable detection of new cerebral microbleeds, supporting clinical decision-making in neurodegeneration and therapy safety, even when longitudinal imaging data are limited.
  Figure 566-02-007.  Diverse impact of intensity normalization techniques on white matter hyperintensity quantification
Ethan Draper, Rachel Wagner, Udunna Anazodo
Montreal Neurological Institute, Montreal, Canada
Impact: We demonstrate that intensity normalization methods (specifically, WhiteStripe and Z-Score) can significantly alter white matter hyperintensity (WMH) volumes, suggesting alternative techniques will better preserve pathology and support robust conclusions across multi-site, paired multi-field strength, and between-group studies.
  Figure 566-02-008.  FLAIR-less white-matter hyperintensity segmentation using YODA
Sebastian Rassmann, David Kügler, Christan Ewert, Martin Reuter
German Center for Neurodegenerative Diseases (DZNE e.V.), Bonn, Germany
Impact: YODA enables generation of 1.0 and 0.8 mm synthetic FLAIR images from routinely acquired MRI contrasts and thus enables accurate population-based white-matter hyperintensity (WMH) quantification. Yet, we demonstrate that FLAIR is crucial in detecting and differentiating small, individual WMHs.
  Figure 566-02-009.  Enhancing Diagnosis of FTD and AD: The Impact of Population-Specific Brain Norms and Automated ACE Score Prediction
Punith Bidarakka Venkategowda, Asha KumaraSwamy Kuppe, Keerthi Prabhu M, Lina Bacha, Bharath Holla, Suvarna Alladi, Faheem Arshad, Sunil Khokhar, Vivek Benegal, Neelam Sinha, Tommaso Di Noto, Rose Dawn Bharath, Bénédicte Maréchal
International Institute of Information Technology Bangalore, Bangalore, India
Impact: Our study shows that Indian norms improved diagnostic sensitivity, emphasizing the need for population-specific references. Automated ACE score prediction demonstrated that regional brain atrophy strongly correlated with cognitive decline, enabling more accurate cognitive and structural assessment in diverse cohorts.
  Figure 566-02-010.  QQ-based oxygen extraction fraction (OEF) mapping in dementia mouse brain
Tian Qiu, SoHyun Han, Dongkyu Lee, HyungJoon Cho, Junghun Cho
George Washington University, Washington, United States of America
Impact: This is the first application of QQ-based OEF method in a mouse neurological disorder model. Observed higher OEF in dementia mice versus controls demonstrates QQ’s potential in preclinical research, enabling investigation of abnormal cerebral oxygen metabolism across various pathological conditions.
  Figure 566-02-011.  NODDI, Diffusion Tensor Microstructural Abnormalities and Gray Matter Atrophy Contribute to Cognitive Impairment in RRMS
Zhuo Wang, Jing Zhang, Kai AI
The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China
Impact: A disconnection syndrome caused by the accumulation of microstructural tissue abnormalities in cognitively-related white matter (WM) tracts may contribute to cognitive deficits.
  Figure 566-02-012.  Topography of Juxtaventricular WMHs and Cognitive Associations in Alzheimer’s Disease: a Dual-Cohort Study
Yiwen Bao, Yaqing Ji, Lina Wang, Yu Zhou, Fen Wang, Daming Shen, Dmytro Pylypenko, Qiang Tong, Ka Fung Henry Mak, Lili Guo
The Affiliated Huai’an No.1 People's Hospital of Nanjing Medical University, Huai'an, China
Impact: JVWMH provides diagnostic and prognostic information beyond conventional WMHs measures in AD. The JVWMH-CSFV correlation is consistent with CSF–parenchyma interface processes.
  Figure 566-02-013.  Cognitive Decline in Parkinson's Disease: Correlation with Choroid Plexus Volume
Meltem Karatas, Sevim Cengiz, Dilek Betül Arslan, Ani Kicik, Emel Erdogdu, Basar Bilgic, Hasmet Hanagasi, Tamer Demiralp, Hakan Gurvit, Esin Ozturk Isik
Bogazici University, Istanbul, Turkey
Impact: 
In Parkinson's disease cohort, choroid plexus enlargement was associated with reduced cognitive performance, and with progression into dementia and brain atrophy. These findings support the hypothesis that choroid plexus alterations might reflect neuroinflammatory or barrier dysfunction processes impacting cognition.
  Figure 566-02-014.  Oral microbiota dysbiosis related to the cortical thinning and cognition in cerebral small vessel disease
Yuerong Lizhu, Renlong Zhang, Yifei Zhang
Beijing Tiantan Hospital, Capital Medical University, Beijing, China
Impact: This study revealed the impacts of oral microbiota dysbiosis on the progress of cortical thinning in CSVD, and suggested the mediative role of cortical thickness in linking oral microbes to cognition, providing insights for the potential mechanisms of oral-brain axis.

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