ReviewFrontiers in neuroanatomy2015
Unraveling the multiscale structural organization and connectivity of the human brain: the role of diffusion MRI.
Review in Frontiers in neuroanatomy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Ultra-high field magnetic resonance imaging in human epilepsy: A systematic review.NeuroImage. Clinical · 2021Pooled it
- Multiscale brain modeling: bridging microscopic and macroscopic brain dynamics for clinical and technological applications.Frontiers in cellular neuroscience · 2025Review
- Integrated diffusion image operator (iDIO): A pipeline for automated configuration and processing of diffusion MRI data.Human brain mapping · 2023Article
- Recovery from the damage of cranial radiation modulated by memantine, an NMDA receptor antagonist, combined with hyperbaric oxygen therapy.Neuro-oncology · 2023Article
- Structural Brain Network Reorganization Following Anterior Callosotomy for Colloid Cysts: Connectometry and Graph Analysis Results.Frontiers in neurology · 2022Article
- Advances in computational and statistical diffusion MRI.NMR in biomedicine · 2019Review
- Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction.NeuroImage · 2019Article
- Article
- The visual white matter: The application of diffusion MRI and fiber tractography to vision science.Journal of vision · 2017Review
- A Combination ofFrontiers in aging neuroscience · 2017Article
- Estimating Fiber Orientation Distribution Functions in 3D-Polarized Light Imaging.Frontiers in neuroanatomy · 2016Article
- Structural Brain Network: What is the Effect of LiFE Optimization of Whole Brain Tractography?Frontiers in computational neuroscience · 2016Article
- Effect of cocaine dependence on brain connections: clinical implications.Expert review of neurotherapeutics · 2015Review
- Multiscale parcellation of dynamic causal models of the brain.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The structural architecture and the anatomical connectivity of the human brain show different organizational principles at distinct spatial scales. Histological staining and light microscopy techniques have been widely used in classical neuroanatomical studies to unravel brain organization. Using such techniques is a laborious task performed on 2-dimensional histological sections by skilled anatomists possibly aided by semi-automated algorithms. With the recent advent of modern magnetic resonance imaging (MRI) contrast mechanisms, cortical layers and columns can now be reliably identified and their structural properties quantified post-mortem. These developments are allowing the investigation of neuroanatomical features of the brain at a spatial resolution that could be interfaced with that of histology. Diffusion MRI and tractography techniques, in particular, have been used to probe the architecture of both white and gray matter in three dimensions. Combined with mathematical network analysis, these techniques are increasingly influential in the investigation of the macro-, meso-, and microscopic organization of brain connectivity and anatomy, both in vivo and ex vivo. Diffusion MRI-based techniques in combination with histology approaches can therefore support the endeavor of creating multimodal atlases that take into account the different spatial scales or levels on which the brain is organized. The aim of this review is to illustrate and discuss the structural architecture and the anatomical connectivity of the human brain at different spatial scales and how recently developed diffusion MRI techniques can help investigate these.
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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.