ArticleNeuroImage2018
Using diffusion MRI to discriminate areas of cortical grey matter.
Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diffusion Tensor Imaging-Based Studies at the Group-Level Applied to Animal Models of Neurodegenerative Diseases.Frontiers in neuroscience · 2020Pooled it
- Multimodal age-dependent diffusion-MRI analysis of the neocortex in a rat model of cortical dysplasia.Scientific reports · 2026Article
- Multiscale Approximations to Understand the Complex Role of Microglia in Alzheimer's Disease.The European journal of neuroscience · 2026Review
- Assessing biological self-organization patterns using statistical complexity characteristics: a tool for diffusion tensor imaging analysis.Magma (New York, N.Y.) · 2025Article
- Mapping the microstructure of human cerebral cortex in vivo with diffusion MRI.Communications biology · 2025Article
- Mapping grey and white matter activity in the human brain with isotropic ADC-fMRI.Nature communications · 2025Article
- Spatial and temporal patterns of cortical mean diffusivity in Alzheimer's disease and suspected non-Alzheimer's disease pathophysiology.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Topological abnormalities of the morphometric similarity network of the cerebral cortex in schizophrenia.Schizophrenia (Heidelberg, Germany) · 2024Article
- Direct segmentation of cortical cytoarchitectonic domains using ultra-high-resolution whole-brain diffusion MRI.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Acquisition and Analysis of Excised Neocortex from Pediatric Patients with Focal Cortical Dysplasia Using Mesoscale Diffusion MRI.Diagnostics (Basel, Switzerland) · 2023Article
- Multi-tensor diffusion abnormalities of gray matter in an animal model of cortical dysplasia.Frontiers in neurology · 2023Article
- Gradual changes in microarchitectural properties of cortex and juxtacortical white matter: Observed by anatomical and diffusion MRI.Magnetic resonance in medicine · 2022Article
- Article
- Structural Brain Imaging Predicts Individual-Level Task Activation Maps Using Deep Learning.Frontiers in neuroimaging · 2022Article
- Refractive-index matching enhanced polarization sensitive optical coherence tomography quantification in human brain tissue.Biomedical optics express · 2022Article
- Topological Maps and Brain Computations From Low to High.Frontiers in systems neuroscience · 2022Article
- Multiple b-values improve discrimination of cortical gray matter regions using diffusion MRI: an experimental validation with a data-driven approach.Magma (New York, N.Y.) · 2021Article
- Distortion-free, high-isotropic-resolution diffusion MRI with gSlider BUDA-EPI and multicoil dynamic BMagnetic resonance in medicine · 2021Article
- Probing in vivo cortical myeloarchitecture in humans via line-scan diffusion acquisitions at 7 T with 250-500 micron radial resolution.Magnetic resonance in medicine · 2021Article
- Higher b-values improve the correlation between diffusion MRI and the cortical microarchitecture.Neuroradiology · 2020Article
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Authors and funding
6 authors.
Funding
Abstract
Cortical area parcellation is a challenging problem that is often approached by combining structural imaging (e.g., quantitative T1, diffusion-based connectivity) with functional imaging (e.g., task activations, topological mapping, resting state correlations). Diffusion MRI (dMRI) has been widely adopted to analyse white matter microstructure, but scarcely used to distinguish grey matter regions because of the reduced anisotropy there. Nevertheless, differences in the texture of the cortical 'fabric' have long been mapped by histologists to distinguish cortical areas. Reliable area-specific contrast in the dMRI signal has previously been demonstrated in selected occipital and sensorimotor areas. We expand upon these findings by testing several diffusion-based feature sets in a series of classification tasks. Using Human Connectome Project (HCP) 3T datasets and a supervised learning approach, we demonstrate that diffusion MRI is sensitive to architectonic differences between a large number of different cortical areas defined in the HCP parcellation. By employing a surface-based cortical imaging pipeline, which defines diffusion features relative to local cortical surface orientation, we show that we can differentiate areas from their neighbours with higher accuracy than when using only fractional anisotropy or mean diffusivity. The results suggest that grey matter diffusion may provide a new, independent source of information for dividing up the cortex.
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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.