Many patients with bipolar disorder (BD) experience debilitating cognitive deficits, with risk of impaired occupational and psychosocial functioning. However, knowledge of how these deficits impact the patients' ability to perform Activities of Daily Living (ADL), tasks related to self-care and domestic life is limited. We explored the relation between impaired cognitive function and the ability to perform ADL in patients with BD. A total of 42 outpatients (mean age 36 years (range 19.0-58.0 years), 69% women) with BD in remission and with subjective cognitive complaints (≥ 13 on the Cognitive Complaints in Bipolar Disorder Rating Assessment questionnaire (COBRA)) were included. Objective neurocognitive function was evaluated with a short comprehensive cognitive test battery and ADL ability was evaluated with the performance-based Assessment of Motor and Process Skills (AMPS) in the homes of the patients. Our findings indicate that low processing speed correlated with decreased ADL ability, and processing speed as measured by the cognitive test battery thus seems to be significantly related to patients' ability to live independently in the community. Overall, adding a performance based test to assess ADL ability in patients with BD home-surroundings seems to provide new insights regarding the effect of cognitive impairment in patients with BD.
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http://dx.doi.org/10.1016/j.psychres.2016.12.058 | DOI Listing |
Brain Behav Immun Health
February 2025
Institute of Cognitive Neuroscience, University College London, London, United Kingdom.
Background: Cognitive impairment, colloquially termed "brain fog", is one of the most prevalent manifestations of post-Covid syndrome and a major contributor to impaired daily function and reduced quality of life. However, despite the high numbers of affected individuals presenting to clinical services with cognitive impairment, little work has been undertaken to date on the suitability of current memory clinic tests for identifying the cognitive deficits in this new acquired cognitive disorder.The aim of this study was therefore to determine the performance of people with post-Covid syndrome presenting with cognitive impairment on the Addenbrooke's Cognitive Examination-III (ACE-III), a cognitive test used widely in memory clinics.
View Article and Find Full Text PDFFront Psychiatry
December 2024
West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Background: Psychiatric illness is thought to be a brain somatic crosstalk disorder. However, the existing phenomenology-based Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) diagnostic framework overlooks various dimensions other than symptoms. In this study, we investigated the associations between peripheral blood test indexes with various symptom levels of major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SCZ) to explore the availability of peripheral blood test indexes.
View Article and Find Full Text PDFActa Neurochir (Wien)
December 2024
Department of Neurosurgery, Mayo Clinic, Rochester, MN, USA.
Purpose: Familial cerebral cavernous malformation syndrome (FCCM) is characterized by multiple hemorrhagic lesions and is sometimes mistaken for cerebral amyloid angiopathy (CAA).
Methods: We compared clinical and radiologic characteristics in patients with definite (N = 32) and presumed FCCM (n = 76) to patients with definite (N = 29) and probable CAA (N = 21).
Results: Patients with CAA were older (78.
Arch Gynecol Obstet
December 2024
Department of Obstetrics and Gynecology, Inselspital, Bern, Switzerland.
Purpose: Increasing life expectancy and rising populations create new challenges for science, economy, politics, society and each individual. The bio-functional status (BFS) as a theoretical model incorporates the International Classification of Functioning (ICF) and the concept of active and healthy ageing (AHA). This study addresses the question of which the strengths and resources have the greatest positive impact on bio-functional age (BFA) and might be influencable.
View Article and Find Full Text PDFMicrosc Res Tech
December 2024
Department of Electronics and Communication Engineering, Annamacharaya Institute of Technology and Sciences, Tirupati, Andhra Pradesh, India.
The disease amyloid plaques, neurofibrillary tangles, synaptic dysfunction, and neuronal death gradually accumulate throughout Alzheimer's disease (AD), resulting in cognitive decline and functional disability. The challenges of dataset quality, interpretability, ethical integration, population variety, and picture standardization must be addressed using deep learning for the functional magnetic resonance imaging (MRI) classification of AD in order to guarantee a trustworthy and practical therapeutic application. In this manuscript Classifying AD using a finite basis physics neural network (CAD-FBPINN) is proposed.
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