Results 71 to 80 of about 320,056 (253)
NeuroImage, 2023 The neonatal period is a critical window for the development of the human brain and may hold implications for the long-term development of cognition and disorders.
Mingyang Li +8 more
doaj +1 more source
Adding dynamics to the Human Connectome Project with MEG [PDF]
NeuroImage, 2013 The Human Connectome Project (HCP) seeks to map the structural and functional connections between network elements in the human brain. Magnetoencephalography (MEG) provides a temporally rich source of information on brain network dynamics and represents one source of functional connectivity data to be provided by the HCP.
Linda Larson‐Prior +18 more
openalex +11 more sources
Mapping hybrid functional-structural connectivity traits in the human connectome [PDF]
, 2018 One of the crucial questions in neuroscience is how a rich functional repertoire of brain states relates to its underlying structural organization. How to study the associations between these structural and functional layers is an open problem that ...
Amico, Enrico, Goñi, Joaquín
core +2 more sources
Navigation of brain networks [PDF]
, 2018 Understanding the mechanisms of neural communication in large-scale brain networks remains a major goal in neuroscience. We investigated whether navigation is a parsimonious routing model for connectomics. Navigating a network involves progressing to the
Heuvel, Martijn P. van den +2 more
core +4 more sources
Automating the Human Connectome Project’s Temporal ICA Pipeline
bioRxivAbstractFunctional magnetic resonance imaging (fMRI) data are dominated by noise and artifacts, with only a small fraction of the variance relating to neural activity. Temporal independent component analysis (tICA) is a recently developed method that enables selective denoising of fMRI artifacts related to physiology such as respiration.
Chunhui Yang +5 more
semanticscholar +3 more sources
Brain and Behavior, 2020 Introduction Connectome analysis of the human brain's structural and functional architecture provides a unique opportunity to understand the organization of the brain's functional architecture.
Ying‐Chia Lin +3 more
doaj +1 more source
NeuroImage, 2021 Reporting white matter findings in voxel-wise neuroimaging studies typically lacks specificity in terms of brain connectivity. Therefore, the purpose of this work was to develop an approach for rapidly extracting standardized brain connectivity ...
Xiaoxiao Qi, Konstantinos Arfanakis
doaj +1 more source
Handedness measures for the Human Connectome Project: Implications for data analysis [PDF]
Laterality, 2020 AbstractOpen data initiatives such as the UK Biobank and Human Connectome Project provide researchers with access to neuroimaging, genetic, and other data for large samples of left-and right-handed participants, allowing for more robust investigations of handedness than ever before.
Ruck, Lana, Schoenemann, P. Thomas
openaire +2 more sources
Tree representations of brain structural connectivity via persistent homology
Frontiers in Neuroscience, 2023 The brain structural connectome is generated by a collection of white matter fiber bundles constructed from diffusion weighted MRI (dMRI), acting as highways for neural activity.
Didong Li +3 more
doaj +1 more source
Functional Geometry of Human Connectomes
Scientific Reports, 2019 Mapping the brain imaging data to networks, where nodes represent anatomical brain regions and edges indicate the occurrence of fiber tracts between them, has enabled an objective graph-theoretic analysis of human connectomes.
Bosiljka Tadić +2 more
doaj +1 more source