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Development of the brain's default mode network from wakefulness to slow wave sleep.
Functional connectivity analysis of rs-fMRI series obtained from 25 healthy participants found significant changes in DMN/ACN integrity throughout the NREM sleep, and it is submitted that preserved corticocortical synchronization could represent a prerequisite for maintaining internal and external awareness.
Development of a Large-Scale Functional Brain Network during Human Non-Rapid Eye Movement Sleep
The hypothesis that changes in consciousness in the descent to sleep are subserved by reduced thalamocortical connectivity at sleep onset and a breakdown of general connectivity in slow-wave sleep is supported, with both processes limiting the capacity of the brain to integrate information across functional modules.
Identification of common variants associated with human hippocampal and intracranial volumes
A genome-wide association meta-analyses and replication for mean bilateral hippocampal, total brain and intracranial volumes from a large multinational consortium are reported and a suggestive association with total brain volume is identified.
Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group
Three-dimensional brain magnetic resonance imaging data was meta-analyzed to identify subcortical brain volumes that robustly discriminate major depressive disorder patients from healthy controls and showed robust smaller hippocampal volumes in MDD patients, moderated by age of onset and first episode versus recurrent episode status.
Functional microstates within human REM sleep: first evidence from fMRI of a thalamocortical network specific for phasic REM periods
A thalamocortical network including limbic and parahippocampal areas specifically active during phasic REM periods is reported, with the brain acting as a functionally isolated and closed intrinsic loop within general REM sleep.
q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans
It is demonstrated how deep learning, a group of algorithms based on recent advances in the field of artificial neural networks, can be applied to reduce diffusion MRI data processing to a single optimized step and how classical data processing can be streamlined by means of deep learning.
Common genetic variants influence human subcortical brain structures
The highly complex structure of the human brain is strongly shaped by genetic influences. Subcortical brain regions form circuits with cortical areas to coordinate movement, learning, memory and
Brain activation and hypothalamic functional connectivity during human non-rapid eye movement sleep: an EEG/fMRI study.
A specific pattern of decreased brain activity during sleep is described and it is suggested that this pattern must be synchronized for establishing and maintaining sleep.