Connectivity gradients on tractography data: Pipeline and example applications

Autor: Rogier B. Mars, Koen V. Haak, Guilherme Blazquez Freches, Christian F. Beckmann
Rok vydání: 2021
Předmět:
Adult
Male
gradients
Computer science
Pipeline (computing)
tractography
Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12]
White matter
Language in Interaction
Young Adult
All institutes and research themes of the Radboud University Medical Center
topography
medicine
Image Processing
Computer-Assisted
Humans
Radiology
Nuclear Medicine and imaging
Projection (set theory)
Research Articles
Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7]
Radiological and Ultrasound Technology
business.industry
Action
intention
and motor control
220 Statistical Imaging Neuroscience
Pattern recognition
White Matter
medicine.anatomical_structure
Diffusion Tensor Imaging
Neurology
Gradient mapping
Feature (computer vision)
connectivity
Embedding
Female
Neurology (clinical)
Artificial intelligence
Anatomy
Nerve Net
business
Tractography
Research Article
Zdroj: Human Brain Mapping
Human Brain Mapping, 42, 18, pp. 5827-5845
Human Brain Mapping, 42, 5827-5845
ISSN: 1097-0193
1065-9471
Popis: Gray matter connectivity can be described in terms of its topographical organization, but the differential role of white matter connections underlying that organization is often unknown. In this study, we propose a method for unveiling principles of organization of both gray and white matter based on white matter connectivity as assessed using diffusion magnetic ressonance imaging (MRI) tractography with spectral embedding gradient mapping. A key feature of the proposed approach is its capacity to project the individual connectivity gradients it reveals back onto its input data in the form of projection images, allowing one to assess the contributions of specific white matter tracts to the observed gradients. We demonstrate the ability of our proposed pipeline to identify connectivity gradients in prefrontal and occipital gray matter. Finally, leveraging the use of tractography, we demonstrate that it is possible to observe gradients within the white matter bundles themselves. Together, the proposed framework presents a generalized way to assess both the topographical organization of structural brain connectivity and the anatomical features driving it.
In this work, we introduce a pipeline for deriving overlapping connectivity gradients on gray and white matter, according to their white matter connections. We then use the pipeline to derive connectivity gradients on the prefrontal and occipital cortices as well as the optic radiation. Finally, we backproject these gradients onto the input white matter, revealing their origins.
Databáze: OpenAIRE
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