Relatively little is known about cognitive performance in burnout. The aim of the present study was to further our knowledge on this topic by examining, in one study, cognitive performance in both clinical and non-clinical burnout while focusing on three interrelated aspects of cognitive performance, namely, self-reported cognitive problems, cognitive test performance, and subjective costs associated with cognitive test performance. To this aim, a clinical burnout patient group (n = 33), a non-clinical burnout group (n = 29), and a healthy control group (n = 30) were compared on self-reported cognitive problems, assessed by a questionnaire, as well as on cognitive test performance, assessed with a cognitive test battery measuring both executive functioning and more general cognitive processing. Self-reported fatigue, motivation, effort and demands were assessed to compare the different groups on subjective costs associated with cognitive test performance. The results indicated that the clinical burnout patients reported more cognitive problems than the individuals with non-clinical burnout, who in turn reported more cognitive problems relative to the healthy controls. Evidence for impaired cognitive test performance was only found in the clinical burnout patients. Relative to the healthy controls, these patients displayed some evidence of impaired general cognitive processing, reflected in slower reaction times, but no impaired executive functioning. However, cognitive test performance of the clinical burnout patients was related to larger reported subjective costs. In conclusion, although both the clinical and the non-clinical burnout group reported cognitive problems, evidence for a relatively mild impaired cognitive test performance and larger reported subjective cost associated with cognitive test performance was only found for the clinical burnout group.
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http://dx.doi.org/10.3109/10253890.2014.949668 | DOI Listing |
Alzheimers Res Ther
January 2025
Department of Radiology, Weill Medical College of Cornell University, New York, NY, USA, Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Background: Quantitative susceptibility mapping (QSM) can study the susceptibility values of brain tissue which allows for noninvasive examination of local brain iron levels in both normal and pathological conditions.
Purpose: Our study compares brain iron deposition in gray matter (GM) nuclei between cerebral small vessel disease (CSVD) patients and healthy controls (HCs), exploring factors that affect iron deposition and cognitive function.
Materials And Methods: A total of 321 subjects were enrolled in this study.
J Headache Pain
January 2025
Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea.
Inter-individual variability in symptoms and the dynamic nature of brain pathophysiology present significant challenges in constructing a robust diagnostic model for migraine. In this study, we aimed to integrate different types of magnetic resonance imaging (MRI), providing structural and functional information, and develop a robust machine learning model that classifies migraine patients from healthy controls by testing multiple combinations of hyperparameters to ensure stability across different migraine phases and longitudinally repeated data. Specifically, we constructed a diagnostic model to classify patients with episodic migraine from healthy controls, and validated its performance across ictal and interictal phases, as well as in a longitudinal setting.
View Article and Find Full Text PDFLearn Behav
January 2025
ICREA, Pg. Lluís Companys 23, Barcelona, Spain.
In a clever adaptation of the two-cups task, a recent paper tested for reasoning by exclusion in bees. Although further work is necessary to rule out competing hypotheses, this study advances our ability to test cognitive capacities in invertebrates.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Neurology, Neurological Institute, Taichung Veterans General Hospital, No. 1650, Taiwan Boulevard, Section 4, Taichung, 40705, Taiwan.
This study investigates whether incorporating olfactory dysfunction into motor subtypes of Parkinson's disease (PD) improves associations with clinical outcomes. PD is commonly divided into motor subtypes, such as postural instability and gait disturbance (PIGD) and tremor-dominant PD (TDPD), but non-motor symptoms like olfactory dysfunction remain underexplored. We assessed 157 participants with PD using the University of Pennsylvania Smell Identification Test (UPSIT), Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale (M-UPDRS), Montreal Cognitive Assessment (MoCA), 39-item Parkinson's Disease Questionnaire Summary Index (PDQ-39 SI), and 99mTc-TRODAT-1 imaging.
View Article and Find Full Text PDFNeuropsychopharmacology
January 2025
Neurocognition and Emotion in Affective Disorders (NEAD) Centre, Psychiatric Centre Copenhagen, Mental Health Services, Capital Region of Denmark, Frederiksberg, Denmark.
Individuals with bipolar disorder (BD) show heterogeneity in clinical, cognitive, and daily functioning characteristics, which challenges accurate diagnostics and optimal treatment. A key goal is to identify brain-based biomarkers that inform patient stratification and serve as treatment targets. The objective of the present study was to apply a data-driven, multivariate approach to quantify the relationship between multimodal imaging features and behavioral phenotypes in BD.
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