Objective: The default mode network (DMN) is deactivated by stimulation. We aimed to assess the DMN reactivity impairment by routine EEG recordings in stroke patients with impaired consciousness.
Methods: Binocular light flashes were delivered at 1 Hz in 1-minute epochs, following a 1-minute baseline (PRE). The EEG was decomposed in a series of binary oscillatory macrostates by topographic spectral clustering. The most deactivated macrostate was labeled the default EEG macrostate (DEM). Its reactivity (DER) was quantified as the decrease in DEM occurrence probability during stimulation. A normalized DER index (DERI) was calculated as DER/PRE. The measures were compared between 14 healthy controls and 32 comatose patients under EEG monitoring following an acute stroke.
Results: The DEM was mapped to the posterior DMN hubs. In the patients, these DEM source dipoles were 3-4 times less frequent and were associated with an increased theta activity. Even in a reduced 6-channel montage, a DER below 6.26% corresponding to a DERI below 0.25 could discriminate the patients with sensitivity and specificity well above 80%.
Conclusion: The method detected the DMN impairment in post-stroke coma patients.
Significance: The DEM and its reactivity to stimulation could be useful to monitor the DMN function at bedside.
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http://dx.doi.org/10.1016/j.clinph.2021.12.002 | DOI Listing |
Brain Behav
January 2025
Division of Brain, Imaging and Behavior, Krembil Brain Institute, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada.
Purpose: Pain is inherently salient and so draws our attention in addition to impacting performance on attention-demanding tasks. Individual variability in pain-attention interactions can be assessed by two kinds of behavioral phenotypes that quantify how individuals prioritize pain versus attentional needs. The intrinsic attention to pain (IAP) measure quantifies the degree to which a person attends to pain (high-IAP) or mind-wanders away from pain (low-IAP).
View Article and Find Full Text PDFBrain Dev
January 2025
Department of Pediatric Neurology, Okayama University Hospital and Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.
Introduction: Epileptic encephalopathy (EE) is a serious clinical issue that manifests as part of developmental and epileptic encephalopathy (DEE), particularly in childhood epilepsy. In EE, neurocognitive functions and behavior are impaired by intense epileptiform electroencephalogram (EEG) activity. Hypotheses of pathophysiological mechanisms behind EE are reviewed to contribute to an effective solution for EE.
View Article and Find Full Text PDFPsychophysiology
January 2025
Consiglio Nazionale delle Ricerche, Istituto di Neuroscienze, Parma, Italy.
Attention-deficit hyperactivity disorder (ADHD) is a neurobiological condition that affects both children and adults. Microstate (MS) analyses, a data-driven approach that identifies stable patterns in EEG signals, offer valuable insights into the neurophysiological characteristics of ADHD. This review summarizes findings from 13 studies that applied MS analyses to resting-state and task-based brain activity in individuals with ADHD.
View Article and Find Full Text PDFBiomedicines
December 2024
Neurology Department, Faculty of Medicine, University of Medicine and Pharmacy "Grigore T. Popa", 16 Universitatii Street, 700115 Iasi, Romania.
Recent studies have described unique aspects of default mode network connectivity in patients with idiopathic generalized epilepsy (IGE). A complete background in this field could be gained by combining this research with spectral analysis. An important objective of this study was to compare linear connectivity and power spectral densities across different activity bands of patients with juvenile absence epilepsy (JAE), juvenile myoclonic epilepsy (JME), generalized tonic-clonic seizures alone (EGTCSA), and drug-resistant IGE (DR-IGE) with healthy, age-matched controls.
View Article and Find Full Text PDFmedRxiv
December 2024
Department of Biomedical Engineering, Columbia University, New York, 10027, NY, USA.
Transcranial magnetic stimulation (TMS) over the left dorsolateral prefrontal cortex (L-DLPFC) is an established intervention for treatment-resistant depression (TRD), yet the underlying therapeutic mechanisms remain not fully understood. This study employs an integrative approach that combines TMS with concurrent functional magnetic resonance imaging (fMRI) and electroencephalography (EEG), aimed at assessing the acute/immediate effects of TMS on brain network dynamics and their correlation with clinical outcomes. Our study demonstrates that TMS acutely modulates connectivity within vital brain circuits, particularly the cognitive control and default mode networks.
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