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.

Download full-text PDF

Source
http://dx.doi.org/10.3109/15622975.2014.966145DOI Listing

Publication Analysis

Top Keywords

theta power
20
spectral power
12
power
10
cognitive functions
8
patients schizophrenia
8
eeg recordings
8
cognitive
7
theta
6
mccb
5
electroencephalographic theta
4

Similar Publications

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 PDF

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 PDF

Elusive Gains of Cognitive Training: Limited Effects on Neural Activity Across Sessions.

Brain 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.

View Article and Find Full Text PDF

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.

View Article and Find Full Text PDF

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.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!