scholarly journals Cortical Thinning and Altered Cortico-Cortical Structural Covariance of the Default Mode Network in Patients with Persistent Insomnia Symptoms

SLEEP ◽  
2016 ◽  
Vol 39 (1) ◽  
pp. 161-171 ◽  
Author(s):  
Sooyeon Suh ◽  
Hosung Kim ◽  
Thien Thanh Dang-Vu ◽  
Eunyeon Joo ◽  
Chol Shin
Keyword(s):  
Default Mode Network ◽  
Structural Covariance ◽  
Default Mode ◽  
Cortical Thinning ◽  
Insomnia Symptoms

Default mode network and the timed up and go in MCI: A structural covariance analysis

2020 ◽  
Vol 129 ◽  
pp. 110748
Author(s):  
Gilles Allali ◽  
Maxime Montembeault ◽  
Alessandra Griffa ◽  
Olivier Beauchet
Keyword(s):  
Default Mode Network ◽  
Covariance Analysis ◽  
Timed Up And Go ◽  
Structural Covariance ◽  
Default Mode

scholarly journals Cortical Thinning in Network-Associated Regions in Cognitively Normal and Below-Normal Range Schizophrenia

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
R. Walter Heinrichs ◽  
Farena Pinnock ◽  
Melissa Parlar ◽  
Colin Hawco ◽  
Lindsay Hanford ◽  
...  
Keyword(s):  
Cortical Thickness ◽  
Central Executive ◽  
Normal Range ◽  
Structural Covariance ◽  
Cognitively Normal ◽  
Default Mode ◽  
Cortical Thinning ◽  
Thickness Measure ◽  
The Brain ◽  
Normal Controls

This study assessed whether cortical thickness across the brain and regionally in terms of the default mode, salience, and central executive networks differentiates schizophrenia patients and healthy controls with normal range or below-normal range cognitive performance. Cognitive normality was defined using the MATRICS Consensus Cognitive Battery (MCCB) composite score (T=50 ± 10) and structural magnetic resonance imaging was used to generate cortical thickness data. Whole brain analysis revealed that cognitively normal range controls (n=39) had greater cortical thickness than both cognitively normal (n=17) and below-normal range (n=49) patients. Cognitively normal controls also demonstrated greater thickness than patients in regions associated with the default mode and salience, but not central executive networks. No differences on any thickness measure were found between cognitively normal range and below-normal range controls (n=24) or between cognitively normal and below-normal range patients. In addition, structural covariance between network regions was high and similar across subgroups. Positive and negative symptom severity did not correlate with thickness values. Cortical thinning across the brain and regionally in relation to the default and salience networks may index shared aspects of the psychotic psychopathology that defines schizophrenia with no relation to cognitive impairment.

Increased Default Mode Network Connectivity Following EEG Neurofeedback in PTSD

2012 ◽  
Author(s):  
Rosemarie Kluetsch ◽  
Tomas Ros ◽  
Jean Theberge ◽  
Paul Frewen ◽  
Christian Schmahl ◽  
...  
Keyword(s):  
Default Mode Network ◽  
Network Connectivity ◽  
Default Mode ◽  
Eeg Neurofeedback

Default mode network connections supporting intra-individual variability in typically developing primary school children: An EEG study.

2020 ◽  
Vol 34 (7) ◽  
pp. 811-823
Author(s):  
Evgeniya Yu. Privodnova ◽  
Helena R. Slobodskaya ◽  
Andrey V. Bocharov ◽  
Alexander E. Saprigyn ◽  
Gennady G. Knyazev
Keyword(s):  
Primary School ◽  
School Children ◽  
Default Mode Network ◽  
Individual Variability ◽  
Primary School Children ◽  
Typically Developing ◽  
Default Mode ◽  
Network Connections

Frequency domains of resting state default mode network activity in schizophrenia

2014 ◽  
Vol 45 (01) ◽  
Author(s):  
G Mingoia ◽  
K Langbein ◽  
M Dietzek ◽  
G Wagner ◽  
S Smesny ◽  
...  
Keyword(s):  
Default Mode Network ◽  
Resting State ◽  
Network Activity ◽  
Default Mode ◽  
Frequency Domains
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