Results 71 to 80 of about 69,264 (321)

Greedy low-rank algorithm for spatial connectome regression [PDF]

open access: yes, 2019
Recovering brain connectivity from tract tracing data is an important computational problem in the neurosciences. Mesoscopic connectome reconstruction was previously formulated as a structured matrix regression problem (Harris et al., 2016), but existing
Benner, Peter   +3 more
core   +3 more sources

Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects

open access: yesAdvanced Science, EarlyView.
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su   +14 more
wiley   +1 more source

Functional Geometry of Human Connectomes

open access: yesScientific 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

Connectome-constrained networks predict neural activity across the fly visual system

open access: yesNature
We can now measure the connectivity of every neuron in a neural circuit1–9, but we cannot measure other biological details, including the dynamical characteristics of each neuron.
Janne K. Lappalainen   +9 more
semanticscholar   +1 more source

Cartography and Connectomes [PDF]

open access: yesNeuron, 2013
The past 25 years have seen great progress in parcellating the cerebral cortex into a mosaic of many distinct areas in mice, monkeys, and humans. Quantitative studies of interareal connectivity have revealed unexpectedly many pathways and a wide range of connection strengths in mouse and macaque cortex. In humans, advances in analyzing "structural" and
openaire   +2 more sources

Decoding Human Placental Cellular and Molecular Responses to Obesity and Fetal Growth

open access: yesAdvanced Science, EarlyView.
Women with obesity often deliver large‐for‐gestational‐age (LGA) infants. Single‐nucleus RNA sequencing of term placenta reveals that hypoxia and TNF‐α signaling in syncytiotrophoblasts are featured in maternal obesity, but inflammatory signatures in Hofbauer cells and response to lipid or carbohydrate metabolism in fibroblasts are specific to LGA.
Hong Jiang   +12 more
wiley   +1 more source

Brain networks under attack : robustness properties and the impact of lesions [PDF]

open access: yes, 2016
A growing number of studies approach the brain as a complex network, the so-called ‘connectome’. Adopting this framework, we examine what types or extent of damage the brain can withstand—referred to as network ‘robustness’—and conversely, which kind of ...
Aerts, Hannelore   +3 more
core   +2 more sources

A Virtual Clinical Trial of Psychedelics to Treat Patients With Disorders of Consciousness

open access: yesAdvanced Science, EarlyView.
Disorders of consciousness after severe brain injury are marked by reduced complexity of brain activity and limited treatment options. Using personalized whole‐brain models, this study shows that simulated lysergic acid diethylamide (LSD) and psilocybin shift patient brain dynamics closer to criticality.
Naji L.N. Alnagger   +17 more
wiley   +1 more source

Contracted functional connectivity profiles in autism

open access: yesMolecular Autism
Objective Autism spectrum disorder (ASD) is a neurodevelopmental condition that is associated with atypical brain network organization, with prior work suggesting differential connectivity alterations with respect to functional connection length.
Clara F. Weber   +13 more
doaj   +1 more source

Local connectome phenotypes predict social, health, and cognitive factors [PDF]

open access: yesNetwork Neuroscience, 2018
The unique architecture of the human connectome is defined initially by genetics and subsequently sculpted over time with experience. Thus, similarities in predisposition and experience that lead to similarities in social, biological, and cognitive ...
Michael A. Powell   +4 more
doaj   +1 more source

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