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Neuroinflammation, Its Role in Alzheimer's Disease and Therapeutic Strategies

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Magnetic Resonance Elastography in the Study of Neurodegenerative Diseases

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Diffusion MRI relates to plasma Aβ42/40 in PET negative participants without dementia

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Brain glymphatic fluid mapping in Alzheimer’s disease: a human MRI and PET study

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Assessment of Gray Matter Microstructural Alterations in Alzheimer’s Disease by Free Water Imaging

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MRI free water mediates the association between water exchange rate across the blood brain barrier and executive function among older adults

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Exploring white matter microstructural alterations in mild cognitive impairment: a multimodal diffusion MRI investigation utilizing diffusion kurtosis and free-water imaging

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Layer‐Dependent Effect of Aβ‐Pathology on Cortical Microstructure With Ex Vivo Human Brain Diffusion MRI at 7 Tesla

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Identifying Distinct Spatiotemporal Patterns of Juxtacortical Microstructure in Alzheimer Disease Using Diffusion MRI–derived Free Water Fraction

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Mapping Alzheimer’s disease pathology using free water through integrated analysis of plasma biomarkers, microstructural DTI metrics, and macrostructural MRI measures

Kim, B. H., Shin, D., Kang, S. H., Jang, H., Yun, J., Park, Y., Zetterberg, H., Blennow, K., González‐Ortiz, F., Ashton, N. J., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-14200-y · Cited by 4 · see citing works

Putative glymphatic dysfunction links extracellular fluid dysregulation to white matter degeneration and clinical impairment in amyotrophic lateral sclerosis

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Diffusion Basis Restricted Fraction as a Putative Magnetic Resonance Imaging Marker of Neuroinflammation: Histological Evidence, Diagnostic Accuracy, and Translational Potential

Kéri, S. (2025) · Life · doi:10.3390/life15101599 · Cited by 3 · see citing works

Diffusion Imaging of Gray Matter Microstructure in Alzheimer’s Disease

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Free-water imaging of the nucleus basalis of Meynert in apolipoprotein E4 carriers

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Microstructural brain assessment in late-life depression and apathy using diffusion MRI multi-compartments models and tractometry

Hédouin, R., Roy, J.-C., Desmidt, T., Robert, G., & Coloigner, J. (2024) · Scientific Reports · doi:10.1038/s41598-024-67535-3 · Cited by 2 · see citing works

Early White Matter Microstructure Alterations in Infants with Down Syndrome

Azrak, O., Garic, D., Nasir, A., Swanson, M. R., Grzadzinski, R., Al‐Ali, K., Shen, M. D., Girault, J. B., John, T. S., Pandey, J., et al. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121489 · Cited by 5 · see citing works

Synaptic micromechanics and brain softening as a mechanobiological hypothesis for Alzheimer’s disease

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Imaging neuroglia

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White matter structural changes in the visual pathway of thyroid-associated ophthalmopathy patients: a free water and multi-shell diffusion imaging study

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Reproducibility and Reliability of Free‐Water‐Corrected Diffusion Tensor Imaging of the Brain: Revisited

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Contributions of Gray Matter Microstructure to Differences in Fluid Cognition and Episodic Memory Across the Healthy Adult Lifespan

Merenstein, J. L., Bennett, I. J., & Madden, D. J. (2026) · Human Brain Mapping · doi:10.1002/hbm.70511 · Cited by 1 · see citing works

White matter microstructure of sensorimotor projection fibers in chronic low back pain

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The role of glymphatic dysfunction in cerebral small vessel disease and vascular cognitive impairment, and therapeutic implications

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STatin TReatment for COVID-19 to Optimise NeuroloGical recovERy (STRONGER): study protocol for a randomised, open label clinical trial in patients with persistent neurological symptoms after COVID-19 infection

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Early White Matter Microstructure Alterations in Infants with Down SyndromePreprint

Azrak, O., Garic, D., Nasir, A., Swanson, M. R., Grzadzinski, R., Al‐Ali, K., Shen, M. D., Girault, J. B., John, T. S., Pandey, J., et al. (2025) · medRxiv · doi:10.1101/2025.02.26.25322913 · Cited by 1 · see citing works

40 Years of diffusion MRI in the brain: From history to emerging frontiers

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Transcallosal white matter and cortical gray matter variations in autistic adults ages 30-73 years: A bi-tensor free water imaging approachPreprint

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The utility of medial temporal lobe atrophy (MTA) grading as a practical method for assessing tau pathology and neurodegeneration in early-stage Alzheimer’s diseasePreprint

Takahashi, H., Takami, Y., Takeda, S., Hayakawa, N., Nakajima, T., Takeya, Y., Miura, A., Wataya, T., Nakagawa, T., Matsuo, C., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-7091559/v1

3D quantitative synthetic MRI for assessing Alzheimer’s clinical syndrome, subjective cognitive impairment, and mild cognitive impairment

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Multimodal MRI assessment of cerebral small vessel disease-related brain injury in the context of unilateral severe carotid artery stenosis

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Mapping Alzheimer’s disease pathology using free water through integrated analysis of plasma biomarkers, microstructural DTI metrics, and macrostructural MRI measures

Kim, B. H., Shin, D., Kang, S. H., Jang, H., Yun, J., Park, Y., Zetterberg, H., Blennow, K., González‐Ortiz, F., Ashton, N. J., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-14200-y · Cited by 4 · see citing works

P2‐406: INVESTIGATING THE SENSITIVITY OF FREE‐WATER IMAGING IN DETECTING WHITE‐MATTER ABNORMALITIES WITHIN PATIENTS WITH ALZHEIMER'S DISEASE

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Free-water diffusion tensor imaging improves the accuracy and sensitivity of white matter analysis in Alzheimer’s disease

Bergamino, M., Walsh, R. R., & Stokes, A. M. (2021) · Scientific Reports · doi:10.1038/s41598-021-86505-7 · Cited by 124 · see citing works

Free-water imaging predicts cognitive decline and clinical progression in cognitively normal older adults

He, H., Zhang, C., Yu, D., Gao, X., Wei, C., & Ding, W. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.121108 · Cited by 2 · see citing works

Free Water in White Matter Differentiates MCI and AD From Control Subjects

Dumont, M., Roy, M., Jodoin, P., Morency, F. C., Houde, J., Xie, Z., Bauer, C., Samad, T. A., Dijk, K. R. A. V., Goodman, J. A., et al. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00270 · Cited by 108 · see citing works