Multiscale network activity in resting state fMRI [PDF]
The brain is inherently multiscalar in both space and time. We argue that this multiscalar nature is reflected in the blood oxygenation level dependent (BOLD) fluctuations used to map functional connectivity. We present evidence that global fluctuations in activity, quasiperiodic spatiotemporal patterns, and aperiodic time-varying activity coexist ...
Shella D. Keilholz +7 more
openaire +3 more sources
Resting state cortical electroencephalographic rhythms in covert hepatic encephalopathy and Alzheimer's disease [PDF]
Patients suffering from prodromal (i.e., amnestic mild cognitive impairment, aMCI) and overt Alzheimer's disease (AD) show abnormal cortical sources of resting state electroencephalographic (EEG) rhythms.
Nicola Marzano +50 more
core +1 more source
Resting-state “Physiological Networks” [PDF]
Abstract Slow changes in systemic brain physiology can elicit large fluctuations in fMRI time series, which may manifest as structured spatial patterns of temporal correlations between distant brain regions. These correlations can appear similar to large-scale networks typically attributed to coupled neuronal activity.
Chen, Jingyuan E. +6 more
openaire +1 more source
Individual differences in the language task-evoked and resting-state functional networks
The resting state functional network is highly variable across individuals. However, inter-individual differences in functional networks evoked by language tasks and their comparison with resting state are still unclear.
Xin Liu, Liu Yang
doaj +1 more source
Cortical sources of resting state EEG rhythms are sensitive to the progression of early stage Alzheimer's disease [PDF]
Cortical sources of resting state electroencephalographic (EEG) rhythms are abnormal in subjects with Alzheimer's disease (AD). Here we tested the hypothesis that these sources are also sensitive to the progression of early stage AD over the course of ...
Nicola Marzano +82 more
core +1 more source
Resting state network estimation in individual subjects [PDF]
Resting state functional magnetic resonance imaging (fMRI) has been used to study brain networks associated with both normal and pathological cognitive functions. The objective of this work is to reliably compute resting state network (RSN) topography in single participants.
Carl D. Hacker +6 more
openaire +3 more sources
Dynamic Reconfiguration of Functional Topology in Human Brain Networks: From Resting to Task States
Task demands evoke an intrinsic functional network and flexibly engage multiple distributed networks. However, it is unclear how functional topologies dynamically reconfigure during task performance. Here, we selected the resting- and task-state (emotion
Wenhai Zhang +3 more
doaj +1 more source
Functional cortical hubs in the eyes-closed resting human brain from an electrophysiological perspective using magnetoencephalography. [PDF]
It is not clear whether specific brain areas act as hubs in the eyes-closed (EC) resting state, which is an unconstrained state free from any passive or active tasks.
Seung-Hyun Jin +4 more
doaj +1 more source
Epigenetic reprogramming of lineage switching in cancer
Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı +4 more
wiley +1 more source
Stomach-brain synchrony reveals a novel, delayed-connectivity resting-state network in humans
Resting-state networks offer a unique window into the brain’s functional architecture, but their characterization remains limited to instantaneous connectivity thus far.
Ignacio Rebollo +3 more
doaj +1 more source

