[HTML][HTML] Resting state dynamic functional connectivity in neurodegenerative conditions: a review of magnetic resonance imaging findings
In the last few decades, brain functional connectivity (FC) has been extensively assessed
using resting-state functional magnetic resonance imaging (RS-fMRI), which is able to …
using resting-state functional magnetic resonance imaging (RS-fMRI), which is able to …
Tools of the trade: estimating time-varying connectivity patterns from fMRI data
Given the dynamic nature of the brain, there has always been a motivation to move beyond
'static'functional connectivity, which characterizes functional interactions over an extended …
'static'functional connectivity, which characterizes functional interactions over an extended …
[HTML][HTML] Resting state fMRI functional connectivity-based classification using a convolutional neural network architecture
Machine learning techniques have become increasingly popular in the field of resting state
fMRI (functional magnetic resonance imaging) network based classification. However, the …
fMRI (functional magnetic resonance imaging) network based classification. However, the …
Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease
Functional connectivity networks (FCNs) using resting-state functional magnetic resonance
imaging (rs-fMRI) have been applied to the analysis and diagnosis of brain disease, such as …
imaging (rs-fMRI) have been applied to the analysis and diagnosis of brain disease, such as …
Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis
Functional connectivity networks (FCNs) based on functional magnetic resonance imaging
(fMRI) have been widely applied to analyzing and diagnosing brain diseases, such as …
(fMRI) have been widely applied to analyzing and diagnosing brain diseases, such as …
May the 4C's be with you: an overview of complexity-inspired frameworks for analysing resting-state neuroimaging data
Competing and complementary models of resting-state brain dynamics contribute to our
phenomenological and mechanistic understanding of whole-brain coordination and …
phenomenological and mechanistic understanding of whole-brain coordination and …
Shared and specific patterns of dynamic functional connectivity variability of striato-cortical circuitry in unmedicated bipolar and major depressive disorders
G Chen, P Chen, JY Gong, Y Jia, S Zhong… - Psychological …, 2022 - cambridge.org
Background Accumulating studies have found structural and functional abnormalities of the
striatum in bipolar disorder (BD) and major depressive disorder (MDD). However, changes …
striatum in bipolar disorder (BD) and major depressive disorder (MDD). However, changes …
A synergetic turn in cognitive neuroscience of brain diseases
Despite significant improvements in our understanding of brain diseases, many barriers
remain. Cognitive neuroscience faces four major challenges: complex structure–function …
remain. Cognitive neuroscience faces four major challenges: complex structure–function …
Dynamic functional connectivity patterns associated with dementia risk
S Dautricourt, J Gonneaud, B Landeau… - Alzheimer's research & …, 2022 - Springer
Background This study assesses the relationships between dynamic functional network
connectivity (DFNC) and dementia risk. Methods DFNC of the default mode (DMN), salience …
connectivity (DFNC) and dementia risk. Methods DFNC of the default mode (DMN), salience …
[HTML][HTML] Metastability, fractal scaling, and synergistic information processing: What phase relationships reveal about intrinsic brain activity
Dynamic functional connectivity (dFC) in resting-state fMRI holds promise to deliver
candidate biomarkers for clinical applications. However, the reliability and interpretability of …
candidate biomarkers for clinical applications. However, the reliability and interpretability of …