The nature of the relationship between cognition and brain morphology in schizophrenia-spectrum disorders (SSD) and bipolar disorder (BD) is uncertain. This review aimed to address this, by providing a comprehensive systematic investigation of links between several cognitive domains and brain volume, cortical thickness, and cortical surface area in SSD and BD patients across early and established illness stages. An initial search of PubMed and Scopus databases resulted in 1486 articles, of which 124 met inclusion criteria and were reviewed in detail. The majority of studies focused on SSD, while those of BD were scarce. Replicated evidence for specific regions associated with indices of cognition was minimal, however for several cognitive domains, the frontal and temporal regions were broadly implicated across both recent-onset and established SSD, and to a lesser extent BD. Collectively, the findings of this review emphasize the significance of both frontal and temporal regions for some domains of cognition in SSD, while highlighting the need for future BD-related studies on this topic.
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http://dx.doi.org/10.1093/schbul/sbab054 | DOI Listing |
JMIR Med Inform
January 2025
School of Software, Taiyuan University of Technology, Jingzhong, China.
Background: The prompt and accurate identification of mild cognitive impairment (MCI) is crucial for preventing its progression into more severe neurodegenerative diseases. However, current diagnostic solutions, such as biomarkers and cognitive screening tests, prove costly, time-consuming, and invasive, hindering patient compliance and the accessibility of these tests. Therefore, exploring a more cost-effective, efficient, and noninvasive method to aid clinicians in detecting MCI is necessary.
View Article and Find Full Text PDFAging Ment Health
January 2025
Faculty of Health Sciences, Department of Occupational Therapy, Çankırı Karatekin University, Çankırı, Turkey.
Objective: This study aims to explore how sociodemographic, psychological, and quality of life factors impact dual-task performance among elderly individuals in Iraq.
Methods: This cross-sectional study included 384 healthy community-dwelling participants aged 60 years and over, recruited from Najaf, Iraq. Data were collected using the Depression Anxiety Stress Scales-21 (DASS-21), Mindful Attention Awareness Scale (MAAS), and the World Health Organization Quality of Life Brief Form (WHOQOL-BREF).
Aging Ment Health
January 2025
Internal Medicine, Geriatric Medicine section, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Objectives: To explore interrelations between cognitive, physical, affective, and daily functioning, quality of life and white matter hyperintensities (WMH) in a geriatric memory clinic sample.
Method: Participants received brain imaging, comprehensive geriatric assessment and neuropsychological evaluation including measurements of cognitive, physical, affective, and daily functioning and health-related quality of life. Data was analyzed using multiple linear regressions and network analysis using (moderated) mixed graphical models.
J Thorac Dis
December 2024
Department of Sleep Medicine, Institute of Respiratory Diseases, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China.
Background: Excessive daytime sleepiness (EDS) is considered to be one of the main clinical manifestations of obstructive sleep apnea (OSA) and is a treatment target for patients with OSA. The prevalence of EDS in patients with OSA remains unclear and there is a lack of studies on the associations of EDS with quality of life among patients with OSA in China. This study aimed to evaluate the prevalence of EDS and its association with quality of life in patients with OSA in Shenzhen, China.
View Article and Find Full Text PDFFront Behav Neurosci
January 2025
Department of Special Education, University of Thessaly, Volos, Greece.
Introduction: The aim of this study was to identify if children with dyslexia can be distinguished into discrete categories based on their domain deficits, indicating various neurocognitive subtypes of developmental dyslexia (DD).
Methods: The sample included 101 students in the 3rd, 4th, 5th, and 6th grades of primary school (mean age 11.15 years) with a diagnosis of dyslexia from a public center and Greek as their native language.
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