Background: There is increasing evidence of default mode network (DMN) dysfunction in schizophrenia. It has also been suggested that brain structural changes are maximal in a medial frontal area which overlaps with the anterior midline node of this network.
Methods: Brain deactivations were examined in 14 schizophrenic patients and 14 controls during performance of two tasks requiring identification or labelling of facial emotions. Grey matter and white matter volumes were compared using voxel-based morphometry.
Results: Relative to the controls, the schizophrenic patients showed failure to deactivate in the anterior and posterior midline nodes of the default mode network, as well as other areas considered to be part of the network. Grey matter volume reductions in the patients were found in medial cortical regions which overlapped with the same parts of the network. The functional and structural changes showed significant correlations in a number of medial cortical areas.
Conclusions: Failure of deactivation in the default mode network is seen in schizophrenic patients when they perform facial emotion tasks. This failure is more extensive than that seen during performance of working memory tasks. The study also supports recent findings of brain structural changes in schizophrenia in the territory of the default mode network.
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http://dx.doi.org/10.1016/j.schres.2010.10.027 | DOI Listing |
Int J Neurosci
January 2025
Department of Functional Neurosurgery, Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
Purpose: To investigate the activity of default mode network (DMN), frontoparietal network (FPN) and cerebellar network (CN) in drug-resistant epilepsy (DRE) patients undergoing vagus nerve stimulation (VNS).
Methods: Fifteen patients were recruited and underwent resting-state fMRI scans. Independent component analysis and paired sample t-tests were used to examine activity changes of DMN, FPN and CN before and after VNS.
Front Neurol
December 2024
Department of Diagnostic Radiology, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.
Objective: This investigation aimed to elucidate alterations in metabolic brain network connectivity in drug-resistant mesial temporal lobe epilepsy (DR-MTLE) patients, relating these changes to varying surgical outcomes.
Methods: A retrospective cohort of 87 DR-MTLE patients who underwent selective amygdalohippocampectomy was analyzed. Patients were categorized based on Engel surgical outcome classification into seizure-free (SF) or non-seizure-free (NSF) groups.
Nat Rev Neurosci
January 2025
Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
The brain is always intrinsically active, using energy at high rates while cycling through global functional modes. Awake brain modes are tied to corresponding behavioural states. During goal-directed behaviour, the brain enters an action-mode of function.
View Article and Find Full Text PDFBiol Psychol
December 2024
Psychology, School of Social Sciences, Nanyang Technological University, Singapore.
Previous research has found functional connectivity in various networks to be altered in psychopathy and has theorised a link between these networks and the self-control-related deficits observed in psychopathy. However, this theory has yet to be tested adequately and empirically. The present study investigated the association between psychopathy, self-control, and intrinsic functional connectivity in 179 healthy adults from the MPI Leipzig Mind Brain Body dataset.
View Article and Find Full Text PDFJ Affect Disord
December 2024
Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, People's Republic of China; Tianjin Key Laboratory of Brain Science and Neural Engineering, Tianjin University, Tianjin, People's Republic of China; Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration, Tianjin, People's Republic of China. Electronic address:
Generalized anxiety disorder (GAD) is a common anxiety disorder characterized by excessive, uncontrollable worry and physical symptoms such as difficulty concentrating and sleep disturbances. Although functional magnetic resonance imaging (fMRI) studies have reported aberrant network-level activity related to cognition and emotion in GAD, its low temporal resolution restricts its ability to capture the rapid neural activity in mental processes. EEG microstate analysis offers millisecond-resolution for tracking the dynamic changes in brain electrical activity, thereby illuminating the neurophysiological mechanisms underlying the cognitive and emotional dysfunctions in GAD.
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