ArticleFrontiers in neurology2023
Symmetric data-driven fusion of diffusion tensor MRI: Age differences in white matter.
Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 6 citations in OpenAlex.
- Therapeutic Potential of Astrocyte-Derived Extracellular Vesicles in Post-Stroke Recovery: Behavioral and MRI-Based Insights from a Rat Model.Life (Basel, Switzerland) · 2025Article
- Multimodal data fusion in neuroscience: promises, challenges and future directions.IEEE signal processing magazine · 2025Article
- Diffusion Magnetic Resonance Imaging and Human Reward System Research: A Bibliometric Analysis and Visualisation of Current Research Trends.The Malaysian journal of medical sciences : MJMS · 2024Article
- Adaptive yoga versus low-impact exercise for adults with chronic acquired brain injury: a pilot randomized control trial protocol.Frontiers in human neuroscience · 2023Article
- Traumatic brain injury associated with altered corpus callosum microstructure in females: Exploring the roles of menopause timing and hormone therapy in UK biobank.Women's health (London, England)Article
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Authors and funding
9 authors at 6 institutions in 1 country.
Funding
Abstract
In the past 20 years, white matter (WM) microstructure has been studied predominantly using diffusion tensor imaging (DTI). Decreases in fractional anisotropy (FA) and increases in mean (MD) and radial diffusivity (RD) have been consistently reported in healthy aging and neurodegenerative diseases. To date, DTI parameters have been studied individually (e.g., only FA) and separately (i.e., without using the joint information across them). This approach gives limited insights into WM pathology, increases the number of multiple comparisons, and yields inconsistent correlations with cognition. To take full advantage of the information in a DTI dataset, we present the first application of symmetric fusion to study healthy aging WM. This data-driven approach allows simultaneous examination of age differences in all four DTI parameters. We used multiset canonical correlation analysis with joint independent component analysis (mCCA + jICA) in cognitively healthy adults (age 20-33,
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.