Development of a multi-channel exploratory battery for psychophysiological assessment: the Stress Profile.

Clin Neurophysiol

Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, National University of Distance Education (UNED), Ciudad Universitaria, s/n 28040 Madrid, Spain.

Published: December 2003

AI Article Synopsis

Article Abstract

Objective: As the expanding field of psychophysiology is currently demanding applied methodologies to be used in the clinic, this study aimed to develop a practical multi-channel exploratory battery for psychophysiological evaluation of stress (the Psychophysiological Stress Profile; PSP). The PSP records 6 psychophysiological variables and it is designed to be mainly used in the daily clinic. Moreover, the PSP was intended to be 'the method' to obtain normative and individual psychophysiological patterns, providing relevant information for the therapeutic process.

Methods: Two hundred and three subjects were evaluated with the PSP in two different contexts: the natural environment and the laboratory. Factorial analysis was applied to obtain psychophysiological profiles. These profiles are based on the covariation among different system responses. The Burt and Tucker Congruence Coefficient was used to compare factorial structures.

Results: A 3-factor structure was obtained in both contexts, Congruence Coefficient indicates that these factorial structures are very similar, indicating the existence of a unique and consistent psychophysiological pattern that characterizes the sample.

Conclusions: The identified factorial structure shows relevant activation patterns, offering a comprehensive view of the subject's functioning. The structure is consistent through samples and can be considered as normative data for the studied population. PSP has turned out to be a quick and easy-to-use psychophysiological battery that has shown adequate internal consistency for all the recorded variables. In this way, the PSP methodology shows its practical value and usefulness in the assessment process.

Download full-text PDF

Source
http://dx.doi.org/10.1016/s1388-2457(03)00274-8DOI Listing

Publication Analysis

Top Keywords

multi-channel exploratory
8
exploratory battery
8
psychophysiological
8
battery psychophysiological
8
stress profile
8
congruence coefficient
8
psp
6
development multi-channel
4
psychophysiological assessment
4
assessment stress
4

Similar Publications

We present Cell2Cell, a novel visual analytics approach for quantifying and visualizing networks of cell-cell interactions in three-dimensional (3D) multi-channel cancerous tissue data. By analyzing cellular interactions, biomedical experts can gain a more accurate understanding of the intricate relationships between cancer and immune cells. Recent methods have focused on inferring interaction based on the proximity of cells in low-resolution 2D multi-channel imaging data.

View Article and Find Full Text PDF

Brain rhythms have been postulated to play central roles in animal cognition. A prominently reported dichotomy of hippocampal rhythms links theta-frequency oscillations (4-12 Hz) and ripples (120-250 Hz) exclusively to preparatory and consummatory behaviours, respectively. However, because of the differential power expression of these two signals across hippocampal strata, such exclusivity requires validation through analyses of simultaneous multi-strata recordings.

View Article and Find Full Text PDF

Background: Deficits in response inhibition are associated with numerous psychiatric disorders. Previous studies have revealed the crucial role of the right inferior frontal gyrus (rIFG), pre-supplementary motor area (preSMA), and beta activity in these brain regions in response inhibition. Multi-channel transcranial alternating current stimulation (tACS) has garnered significant attention for its ability to modulate neural oscillations in brain networks.

View Article and Find Full Text PDF
Article Synopsis
  • Contouring the internal gross target volume (iGTV) in radiotherapy is crucial for minimizing the effects of motion during treatment, but current methods are time-consuming and prone to variability among different operators.
  • This study explores a deep learning framework to segment iGTV quickly and accurately from 4D CT images of lung cancer patients, using five models derived from the 3D UNet architecture.
  • Results showed that the improved models (mmUNet and gruUNet variants) achieved higher Dice Similarity Coefficients compared to the 3D UNet, although the differences were not statistically significant.
View Article and Find Full Text PDF

ERP Analysis Using a Multi-Channel Matching Pursuit Algorithm.

Neuroinformatics

October 2022

Faculty of Physics, University of Warsaw, L. Pasteura 5 Street, Warsaw, 02-093, Poland.

In this study, we propose a new algorithm for analysing event-related components observed in EEG signals in psychological experiments. We investigate its capabilities and limitations. The algorithm is based on multivariate matching pursuit and clustering.

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!