The present pilot study investigated neuronal correlates of executive functioning in patients previously diagnosed with recurrent major depressive disorder (MDD). The aim of the study was to examine a partially remitted and remitted MDD patient group with functional magnetic resonance imaging (fMRI) using a cognitive activation paradigm in order to probe aspects of response inhibition, attention shift, and working memory. Twenty MDD patients and 19 healthy controls, matched for age and sex, participated in the study. A working memory n-back task with single presentations of incongruent Stroop words was used, with the instruction to either remember the color of the ink the word was written in, or the color word itself, presented two or three words back in the presentation series. MR images were acquired on a 1.5-T GE Signa HD MR scanner. In addition to MR data, response time (RT) and response accuracy (RA) behavioral data were recorded. The behavioral results showed longer RT and lower RA in the MDD group compared to the control group across instruction conditions and working memory load. Based on previous studies of executive function, a composite region of interest (ROI) mask of the anterior cingulate cortex (ACC), dorsolateral prefrontal cortex (DLPFC), caudate, and putamen was used in statistical analysis. Significant activation was observed in controls throughout this corticostriatal network. When compared to controls, patients showed no significant difference in the level of activation in the ACC and the DLPFC. However, in the putamen and caudate, hypoactivation in the patient group was observed. It was concluded that these effects could be due to a scar effect as a result of previous episodes of MDD.
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http://dx.doi.org/10.1002/pchj.134 | DOI Listing |
Front Neurosci
January 2025
Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, United States.
Introduction: , a protein kinase located on human chromosome 21, plays a role in postembryonic neuronal development and degeneration. Alterations to have been consistently associated with cognitive functioning and neurodevelopmental disorders (e.g.
View Article and Find Full Text PDFClin Neuropsychiatry
December 2024
IRCCS Stella Maris Foundation, Pisa, Italy.
Objective: To describe the relationship between executive functions (EF) and symptom's severity, behavioral problems, and adaptive functioning in autistic preschoolers.
Method: Seventy-six autistic preschoolers (age-range: 37-72 months; SD: 8.67 months) without intellectual disability were assessed.
Front Child Adolesc Psychiatry
July 2023
Department of Psychiatry, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, United States.
Introduction: Sluggish Cognitive Tempo (SCT) is a syndrome characterized by cognitive hypo-arousal that often appears as daytime sleepiness or drowsiness, mental fogginess, being easily confused, having difficulty with holding and manipulating information in working memory, and being forgetful. Although it frequently co-travels with attention-deficit/hyperactivity disorder (ADHD) or other conditions and confers significantly greater impairment, there are few studies examining SCT among adults with ADHD. Understanding what features SCT confers in association with ADHD, distinct from other conditions associating with ADHD, is critically important to confirm if SCT is a distinct syndrome that requires special assessment methods and special, distinct treatment efforts to reduce its impact.
View Article and Find Full Text PDFZhongguo Xue Xi Chong Bing Fang Zhi Za Zhi
December 2024
Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui 230601, China.
Objective: To predict the areas of snail spread in Anhui Province from 1977 to 2023 using machine learning models, and to compare the effectiveness of different machine learning models for prediction of areas of snail spread, so as to provide insights into investigating the trends in areas of snail spread.
Methods: Data pertaining to snail spread in Anhui Province from 1977 to 2023 were collected and a database was created. Five machine learning models were created using the software Matlab R2019b, including support vector regression (SVR), nonlinear autoregressive (NAR) neural network, back propagation (BP) neural network, gated recurrent unit (GRU) neural network and long short-term memory (LSTM) neural network models, and the model fitting effect was evaluated with mean absolute error (MAE), root mean squared error (RMSE) and coefficient of determination ().
Alzheimers Res Ther
January 2025
Danish Dementia Research Centre, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Inge Lehmans Vej 8, Copenhagen, DK-2100, Denmark.
Background: For clinical implementation of Alzheimer's disease (AD) blood-based biomarkers (BBMs), knowledge of short-term variability, is crucial to ensure safe and correct biomarker interpretation, i.e., to capture changes or treatment effects that lie beyond that of expected short-term variability and considered clinically relevant.
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