Psychopathology of obsessive compulsive disorder (OCD) that has been characterized by a conflict between the ego and superego on one hand, and aggressive and sexual impulses emerging from the id on the other, and employment of characteristic defenses to combat intense conflicts being connected with ones' biological disposition from the psychoanalytic school of thought now gets empirical foundation from neuroimaging research. The findings disregard the psychological construct, exclusively establishing the neurobiology of the disorder. With the objective to study the impact of sexual and aggressive impulses on the executive functions and processing speed in the patient group, 20 OCD patients (11 males, 9 females) and 20 normal control subjects, matched for all relevant variables including age, sex, educational level and handedness were studied. Sexual impulse and guilt was assessed on the Sex Guilt Rating Scale (SGRS), aggressive impulses were tested using State-Trait Anger Expression Inventory (STAXI), the Yale-Brown Obsessive Compulsive Scale (Y-BOCS) was used to assess symptom severity, executive functions were assessed through Wisconsin Card Sorting Test (WCST), and processing speed was assessed by employing the Processing Speed Index (PSI) - from WAIS III. It was found that the OCD group differed significantly from the controls, attaining significantly lower percentiles on Processing Speed Index and for all variables of WCST under consideration, namely, perseverative response, perseverative error, non-perseverative error, conceptual level response and number of categories completed. They reported higher scores on subscales of STAXI, specifically related to trait anger and lower scores on anger expression. On the items of SGRS, the OCD group significantly differed with the controls, expressing greater sexual inhibition. In conclusion, we propose an explanation of psychopathology of OCD, which addresses instinctual impulses, executive functions and neural substrates. Our findings contribute to understanding instinctual impulses from the neuropsychological perspective. The findings have implications for better eclectic understanding of the pathogenesis of OCD.
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http://dx.doi.org/10.1016/j.ajp.2010.10.002 | DOI Listing |
Schizophr Res Cogn
June 2025
University Department of Child and Adolescent Psychiatry, Children's Hospitals of NICE CHU-Lenval, Nice, France.
Objective: To conduct a systematic review of neurocognitive dysfunctions in patients with childhood-onset schizophrenia (COS), a neuropsychiatric disorder that occurs before age 13 and is rarer and more severe than adult-onset schizophrenia.
Method: A search was made in the PubMed database. Sixty-seven studies (out of 543) which analyzed Intellectual Quotient (IQ), attentional, memory and executive functions were selected by two independent researchers.
Background: Prior research linking myosteatosis with cognition in older adults has been conducted in relatively homogenous populations with narrow age ranges. We evaluated if abdominal myosteatosis was associated with processing speed in a multiethnic cohort of middle aged and older adults.
Methods: The analytical sample included 1,268 adults (46-86 years old, mean 63±9 years, 53% female of 41% White, 20% Black, 14% Chinese, and 25% Hispanic), a subset from the Multi-Ethnic Study of Atherosclerosis (MESA).
Public Health Pract (Oxf)
June 2025
MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK.
Objectives: Disuse theory predicts that cognitive function is vulnerable to transitions that remove factors that support cognitive skills. We sought to investigate whether non-employment over the working life was associated with cognitive function and decline in later life (≥60 years old), and possible gender differences in the association.
Study Design: Longitudinal study.
Recent Pat Nanotechnol
January 2025
Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, Nijenborgh 9, 9747 AG Groningen, The Netherlands.
The increase in computational power demand led by the development of Artificial Intelligence is rapidly becoming unsustainable. New paradigms of computation, which potentially differ from digital computation, together with novel hardware architecture and devices, are anticipated to reduce the exorbitant energy demand for data-processing tasks. Memristive systems with resistive switching behavior are under intense research, given their prominent role in the fabrication of memory devices that promise the desired hardware revolution in our intensive data-driven era.
View Article and Find Full Text PDFMagn Reson Imaging
January 2025
School of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China.
Magnetic resonance imaging (MRI) is a non-invasive medical imaging technique that is widely used for high-resolution imaging of soft tissues and organs. However, the slow speed of MRI imaging, especially in high-resolution or dynamic scans, makes MRI reconstruction an important research topic. Currently, MRI reconstruction methods based on deep learning (DL) have garnered significant attention, and they improve the reconstruction quality by learning complex image features.
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