Objectives: MATRICS Consensus Cognitive Battery (MCCB) is a contemporary standard for assessment of cognitive functions in schizophrenia. The aim of the study was to examine the association between electroencephalographic spectral power and a wide range of cognitive functions measured with MCCB.
Methods: Thirty-nine patients with schizophrenia (27 male, mean age 28.2 ± 5.2 years) underwent EEG recordings and were assessed with MCCB. The EEG recordings were visually inspected and manually cleaned from artifacts and subjected to spectral analysis with EEGlab. Absolute and relative power as percentage of total spectral power were computed for frequency ranges from 0.5 to 30 Hz. To compare spectral power in patients with various cognitive functioning, patients from best and worst MCCB quartiles were selected.
Results: Superior cognitive performance was associated with less power of theta waves. Six MCCB cognitive tests showed significant correlations with absolute theta power and three tests with relative theta power. The correlation coefficients between MCCB composite score and theta power were rp = -0.45 for absolute and rp = -0.36 for relative values. Increased theta power was linked especially to memory deficits.
Conclusions: These preliminary results suggest that electroencephalographic resting state theta power is an indicator of cognitive deficit in patients with schizophrenia.
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http://dx.doi.org/10.3109/15622975.2014.966145 | DOI Listing |
Life (Basel)
December 2024
N. Laverov Federal Center for Integrated Arctic Research of the Ural Branch of the Russian Academy of Sciences, Arkhangelsk 163020, Russia.
Heart rate variability biofeedback (HRV BF) training aids adaptation to new climatic, geographical, and social environments. Neurophysiological changes during the HRV BF in individuals from tropical regions studying in the Arctic are not well understood. The aim of this study was to research electroencephalographic (EEG) changes during a single short-term HRV BF session in Indian and Russian students studying in the Russian Arctic.
View Article and Find Full Text PDFSci Rep
January 2025
International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, Ibaraki, 305- 8575, Japan.
We explore an innovative approach to sleep stage analysis by incorporating complexity features into sleep scoring methods for mice. Traditional sleep scoring relies on the power spectral features of electroencephalogram (EEG) and the electromyogram (EMG) amplitude. We introduced a novel methodology for sleep stage classification based on two types of complexity analysis, namely multiscale entropy and detrended fluctuation analysis.
View Article and Find Full Text PDFBrain Sci
December 2024
Department of Psychology, Faculty of Humanities and Social Sciences, University of Zagreb, 10000 Zagreb, Croatia.
Background/objectives: Cognitive training paradigms rely on the idea that consistent practice can drive neural plasticity, improving not only connectivity within critical brain networks, but also ultimately result in overall enhancement of trained cognitive functions, irrespective of the specific task. Here we opted to investigate the temporal dynamics of neural activity and cognitive performance during a structured cognitive training program.
Methods: A group of 20 middle-aged participants completed 20 training sessions over 10 weeks.
Ann Neurosci
January 2025
National Resource Centre for Value Education in Engineering, Indian Institute of Technology, Delhi, India.
Background: Neural activity and subjective experiences indicate that breath-awareness practices, which focus on mindful observation of breath, promote tranquil calm and thoughtless awareness.
Purpose: This study explores the impact of tristage Ānāpānasati-based breath meditation on electroencephalography (EEG) oscillations and self-reported mindfulness states in novice meditators following a period of effortful cognition.
Methods: Eighty-nine novice meditators (82 males; Mean Age = 24.
Cell Rep
January 2025
Nash Family Department of Neuroscience, The Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address:
Temporal lobe epilepsy (TLE) causes pervasive and progressive memory impairments, yet the specific circuit changes that drive these deficits remain unclear. To investigate how hippocampal-entorhinal dysfunction contributes to progressive memory deficits in epilepsy, we performed simultaneous in vivo electrophysiology in the hippocampus (HPC) and medial entorhinal cortex (MEC) of control and epileptic mice 3 or 8 weeks after pilocarpine-induced status epilepticus (Pilo-SE). We found that HPC synchronization deficits (including reduced theta power, coherence, and altered interneuron spike timing) emerged within 3 weeks of Pilo-SE, aligning with early-onset, relatively subtle memory deficits.
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