Intermittent explosive disorder (IED), a disorder characterized by outbursts of affective aggression, is associated with deficits in regulating emotions. However, less is known about specific deficits in understanding and processing emotions in IED. This study sought to fill that gap by examining components of emotion processing (rumination, alexithymia, and empathy) in those with IED. Participants completed diagnostic interviews and self-report measures, and were categorized into three diagnostic groups: IED (n = 177), Psychiatric Control (PC; n = 171), and Healthy Volunteer (HV; n = 144). Those with IED reported more anger rumination and greater difficulty identifying their feelings than PC or HV participants. Interestingly, those with IED reported higher affective empathy scores than those in the HV group, with no other group differences on measures of empathy. Amongst those with IED, increased anger rumination and decreased sadness rumination predicted greater lifetime aggression, while increased sadness rumination predicted poorer quality of life. These findings suggest that although those with IED have a harder time recognizing their emotions, once they identify feeling angry, they spend more time focused this emotion than those with other disorders. These findings also suggest that cognitive intervention techniques may be beneficial for those with IED.
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http://dx.doi.org/10.1016/j.psychres.2019.01.046 | DOI Listing |
Microbiol Spectr
January 2025
Institute of Bioinformatics and Applied Biotechnology, Bengaluru, Karnataka, India.
Alba domain-containing proteins are ubiquitously found in archaea and eukaryotes. By binding to either DNA, RNA, or DNA:RNA hybrids, these proteins function in genome stabilization, chromatin organization, gene regulation, and/or translational modulation. In the malaria parasite , six Alba domain proteins PfAlba1-6 have been described, of which PfAlba1 has emerged as a "master regulator" of translation during parasite intra-erythrocytic development (IED).
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK.
A generative adversarial network (GAN) makes it possible to map a data sample from one domain to another one. It has extensively been employed in image-to-image and text-to image translation. We propose an EEG-to-EEG translation model to map the scalp-mounted EEG (scEEG) sensor signals to intracranial EEG (iEEG) sensor signals recorded by foramen ovale sensors inserted into the brain.
View Article and Find Full Text PDFAnimals (Basel)
January 2025
Department of Veterinary Medicine, University of Perugia, 06126 Perugia, Italy.
and are major parasitic nematodes of dogs. Many environmental and phenological changes have recently modified their geographic patterns in many countries; thus, this study has updated the distribution of and in dog populations of selected regions of Central and Southern Italy. Also, collateral data on other endoparasites affecting the study population have been collected.
View Article and Find Full Text PDFSci Justice
January 2025
Institute of Forensic Science, Ministry of Interior, Slovakia.
Interdisciplinary examination of test materials requires careful consideration of how forensic routines can influence each other. This influence can be direct and obvious, or indirect and subtle. A multidisciplinary collaborative exercise (MdCE) should test a forensic laboratory's ability to account for these difficulties.
View Article and Find Full Text PDFCureus
December 2024
Department of Radiology, Aichi Medical University, Nagakute, JPN.
Purpose In linac-based stereotactic radiosurgery (SRS) utilizing a multileaf collimator (MLC) for brain metastases (BMs), a volumetric-modulated arc (VMA) technique is indispensable for generating a suitable dose distribution with efficient planning and delivery. However, the optimal calculation grid spacing (GS) and statistical uncertainty (SU) of the Monte Carlo algorithm for VMA optimization have yet to be determined. This planning study aimed to examine the impacts of GS and GU settings on VMA-based SRS planning and to find the optimal combination for templating.
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