ArticleFrontiers in neuroscience2022
Using Advanced Diffusion-Weighted Imaging to Predict Cell Counts in Gray Matter: Potential and Pitfalls.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- Effects of antidepressant medications on brain tissue microstructure in persistent depressive disorder across two randomized controlled trials.NeuroImage. Clinical · 2026Trial
- Hippocampal microstructure as a measure of cognitive resilience to tau PET burden in older adults.The journal of prevention of Alzheimer's disease · 2026Observational
- Ex vivo brain MRI to assess conventional and FLASH brain irradiation effects.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2025Article
- Aging of gray matter microstructure: A brain-wide characterization of age group differences using NODDI.Neurobiology of aging · 2025Article
- CNS Embryonal Tumor with PLAGL Amplification, a New Tumor in Children and Adolescents: Insights from a Comprehensive MRI Analysis.AJNR. American journal of neuroradiology · 2025Article
- Independent associations of sleep and physical activity with cognition are mediated by hippocampal microstructure in middle-aged and older adults.Neurobiology of aging · 2025Article
- Differentiating unirradiated mice from those exposed to conventional or FLASH radiotherapy using MRI.bioRxiv : the preprint server for biology · 2025Article
- Circulating PACAP levels are associated with altered imaging measures of entorhinal cortex neurite density in posttraumatic stress disorder.European journal of psychotraumatology · 2024Article
- Acute cycling exercise and hippocampal subfield function and microstructure in healthy older adults.Hippocampus · 2023Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Recent advances in diffusion imaging have given it the potential to non-invasively detect explicit neurobiological properties, beyond what was previously possible with conventional structural imaging. However, there is very little known about what cytoarchitectural properties these metrics, especially those derived from newer multi-shell models like Neurite Orientation Dispersion and Density Imaging (NODDI) correspond to. While these diffusion metrics do not promise any inherent cell type specificity, different brain cells have varying morphologies, which could influence the diffusion signal in distinct ways. This relationship is currently not well-characterized. Understanding the possible cytoarchitectural signatures of diffusion measures could allow them to estimate important neurobiological properties like cell counts, potentially resulting in a powerful clinical diagnostic tool. Here, using advanced diffusion imaging (NODDI) in the mouse brain, we demonstrate that different regions have unique relationships between cell counts and diffusion metrics. We take advantage of this exclusivity to introduce a framework to predict cell counts of different types of cells from the diffusion metrics alone, in a region-specific manner. We also outline the challenges of reliably developing such a model and discuss the precautions the field must take when trying to tie together medical imaging modalities and histology.
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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 Socratic graph.