[HTML][HTML] Altered resting-state dynamic functional brain networks in major depressive disorder: Findings from the REST-meta-MDD consortium
Background Major depressive disorder (MDD) is known to be characterized by altered brain
functional connectivity (FC) patterns. However, whether and how the features of dynamic FC …
functional connectivity (FC) patterns. However, whether and how the features of dynamic FC …
[HTML][HTML] Altered brain dynamic in major depressive disorder: state and trait features
Temporal neural synchrony disruption can be linked to a variety of symptoms of major
depressive disorder (MDD), including mood rigidity and the inability to break the cycle of …
depressive disorder (MDD), including mood rigidity and the inability to break the cycle of …
Cross-task cognitive workload recognition based on EEG and domain adaptation
Cognitive workload recognition is pivotal to maintain the operator's health and prevent
accidents in the human-robot interaction condition. So far, the focus of workload research is …
accidents in the human-robot interaction condition. So far, the focus of workload research is …
Resting-state dynamic functional connectivity in major depressive disorder: A systematic review
As a novel measure, dynamic functional connectivity (dFC) provides insight into the dynamic
nature of brain networks and their interactions in resting-state, surpassing traditional static …
nature of brain networks and their interactions in resting-state, surpassing traditional static …
[HTML][HTML] Dynamic altered amplitude of low-frequency fluctuations in patients with major depressive disorder
R Zheng, Y Chen, Y Jiang, M Wen, B Zhou, S Li… - Frontiers in …, 2021 - frontiersin.org
Background: Major depressive disorder (MDD) has demonstrated abnormalities of static
intrinsic brain activity measured by amplitude of low-frequency fluctuation (ALFF). Recent …
intrinsic brain activity measured by amplitude of low-frequency fluctuation (ALFF). Recent …
Altered brain dynamics and their ability for major depression detection using EEG microstates analysis
J Li, N Li, X Shao, J Chen, Y Hao… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Major depressive disorder (MDD) may be driven by dysfunction in intrinsic dynamic
properties of the brain, and EEG microstate is a promising method for analyzing brain …
properties of the brain, and EEG microstate is a promising method for analyzing brain …
[HTML][HTML] Identification of suicidality in patients with major depressive disorder via dynamic functional network connectivity signatures and machine learning
M Xu, X Zhang, Y Li, S Chen, Y Zhang, Z Zhou… - Translational …, 2022 - nature.com
Major depressive disorder (MDD) is a severe brain disease associated with a significant risk
of suicide. Identification of suicidality is sometimes life-saving for MDD patients. We aimed to …
of suicide. Identification of suicidality is sometimes life-saving for MDD patients. We aimed to …
[HTML][HTML] Mindfulness-enhanced computerized cognitive training for depression: an integrative review and proposed model targeting the cognitive control and default …
M Bursky, DA Egglefield, SG Schiff, P Premnath… - Brain Sciences, 2022 - mdpi.com
Depression is often associated with co-occurring neurocognitive deficits in executive
function (EF), processing speed (PS) and emotion regulation (ER), which impact treatment …
function (EF), processing speed (PS) and emotion regulation (ER), which impact treatment …
EEG based depression recognition by combining functional brain network and traditional biomarkers
S Sun, H Chen, X Shao, L Liu, X Li… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
This Electroencephalography (EEG)-based research is to explore the effective biomarkers
for depression recognition. Resting-state EEG data were collected from 24 major depressive …
for depression recognition. Resting-state EEG data were collected from 24 major depressive …
Brain networks connectivity in mild to moderate depression: resting state fMRI study with implications to nonpharmacological treatment
DD Bezmaternykh, MY Melnikov, AA Savelov… - Neural …, 2021 - Wiley Online Library
Network mechanisms of depression development and especially of improvement from
nonpharmacological treatment remain understudied. The current study is aimed at …
nonpharmacological treatment remain understudied. The current study is aimed at …