ABSTRACT
OBJECTIVE: Since its first definition, the number of dimensions of the posttraumatic stress disorder (PTSD) has increased (e.g., 1 to 7). This could be caused by 2 methodological reasons. First, the studies do not select representative samples of the population and do not consider the magnitude of exposure to the same event. Second, they use nonrobust data analysis, which increases the number of dimensions artificially. The aim is to determine how many dimensions PTSD has, when both sources of error are controlled. METHOD: From 25,400 representative participants of the same population exposed to an earthquake and evaluated with the Davidson Trauma Scale, 127 smaller samples of 200 participants were obtained and classified according to the Mercalli magnitude. Parallel factor analyses (PFA), exploratory structural equations models (ESEM), and classic exploratory factor analysis (EFA) were applied to each sample. RESULTS: There were significant differences in fit and number of dimensions between the high and low Mercalli magnitude. In high exposure conditions: There were 1 dimension according to PFA and 3 according to EFA; ESEM and CFA indicated good fit. The main finding was that PTSD has a unique dimension that includes all of its symptoms. CONCLUSIONS: The need to use robust methods of analysis to evaluate data from samples homogeneously exposed to the same potentially traumatic event is argued. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
ABSTRACT
In recent years, a growing corpus of research has been conducted utilizing a variety of behavioral and neurophysiological methodologies to investigate the relationship of emotion and cognition, yielding unique insights into fundamental concerns about the human mind and mental disease. Electroencephalography (EEG) has been utilized to investigate how emotional states alter neural markers of cognitive control. The current study is a systematic analysis of EEG research that looks at affective modulation (mood, emotion) of cognitive control and its many sub-processes (e.g., cognitive flexibility, inhibitory control, and working memory). The PRISMA standards were followed in this review, which looked at experimental designs and tasks, as well as methodological elements of EEG recording and analysis across research. A total of 35 articles were chosen for qualitative synthesis as a consequence of the search. The examination of event-related potentials (ERPs), which showed affective modulation of 19 different components, was the most common electrophysiological approach used across research. The majority of the investigations focused on N2 and P3, indicating that affective induction has a strong influence on attentional processes and response inhibition. Future research should look into different methodologies such as source location and connection metrics to better understand the brain's areas and dynamic response during affective induction activities. It is also suggested that the technical components of the report be more explicit in order to promote study comparability and replication.
