Results 31 to 40 of about 64,126 (335)

Connectomic approaches before the connectome

open access: yesNeuroImage, 2013
Connectome is a term with a short history but a long past. Since the origins of neuroscience the concept of a 'map of neural connections' has been a constant inspiring idea for those who believed the brain as the organ of intellect. A myriad of proto-connectome maps have been produced throughout the centuries, each one reflecting the theory and method ...
Michel Thiebaut de Schotten   +5 more
openaire   +5 more sources

Why not connectomics? [PDF]

open access: yesNature Methods, 2013
Opinions diverge on whether mapping the synaptic connectivity of the brain is a good idea. Here we argue that albeit their limitations, such maps will reveal essential characteristics of neural circuits that would otherwise be inaccessible.
Jeff W. Lichtman, Joshua L Morgan
openaire   +3 more sources

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis [PDF]

open access: yesInternational Conference on Medical Image Computing and Computer-Assisted Intervention, 2022
Human brains lie at the core of complex neurobiological systems, where the neurons, circuits, and subsystems interact in enigmatic ways. Understanding the structural and functional mechanisms of the brain has long been an intriguing pursuit for ...
Hejie Cui   +5 more
semanticscholar   +1 more source

Sequencing the Connectome

open access: yesPLoS Biology, 2012
Connectivity determines the function of neural circuits. Historically, circuit mapping has usually been viewed as a problem of microscopy, but no current method can achieve high-throughput mapping of entire circuits with single neuron precision. Here we describe a novel approach to determining connectivity.
Zador, A. M.   +5 more
openaire   +6 more sources

Connectomics and epilepsy [PDF]

open access: yesCurrent Opinion in Neurology, 2013
Tremendous advances have occurred in recent years in elucidating basic mechanisms of epilepsy at the level of ion channels and neurotransmitters. Epilepsy, however, is ultimately a disease of functionally and/or structurally aberrant connections between neurons and groups of neurons at the systems level.
Jerome Engel   +6 more
openaire   +3 more sources

Inferring the heritability of large-scale functional networks with a multivariate ACE modeling approach

open access: yesNetwork Neuroscience, 2021
Recent evidence suggests that the human functional connectome is stable at different timescales and is unique. These characteristics posit the functional connectome not only as an individual marker but also as a powerful discriminatory measure ...
Fernanda L. Ribeiro   +4 more
doaj   +1 more source

The Developing Human Connectome Project Neonatal Data Release

open access: yesFrontiers in Neuroscience, 2022
The Developing Human Connectome Project has created a large open science resource which provides researchers with data for investigating typical and atypical brain development across the perinatal period.
A. Edwards   +73 more
semanticscholar   +1 more source

Functional connectome fingerprinting: Identifying individuals based on patterns of brain connectivity

open access: yesNature Neuroscience, 2015
Functional magnetic resonance imaging (fMRI) studies typically collapse data from many subjects, but brain functional organization varies between individuals. Here we establish that this individual variability is both robust and reliable, using data from
E. Finn   +7 more
semanticscholar   +1 more source

A connectome and analysis of the adult Drosophila central brain

open access: yesbioRxiv, 2020
The neural circuits responsible for animal behavior remain largely unknown. We summarize new methods and present the circuitry of a large fraction of the brain of the fruit fly Drosophila melanogaster.
Louis K. Scheffer   +114 more
semanticscholar   +1 more source

Functional connectome through the human life span

open access: yesbioRxiv, 2023
The lifespan growth of the functional connectome remains unknown. Here, we assemble task-free functional and structural magnetic resonance imaging data from 33,250 individuals aged 32 postmenstrual weeks to 80 years from 132 global sites.
Lianglong Sun   +65 more
semanticscholar   +1 more source

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