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Resting state EEGs were compared between patients with amnestic subtype of mild cognitive impairment (aMCI) and matched elderly controls at two times over a one year period. The study aimed at investigating the role of functional connectivity between and within different brain regions in relation to the progression of cognitive deficit in MCI. The EEG was recorded in two sessions during eyes closed and eyes open resting conditions. Functional brain connectivity was investigated based on the measurement of phase synchronization in different frequency bands. Delta and theta synchronization characteristics indicated decreased level of local and large-scale connectivity in the patients within the frontal, between the frontal and temporal, and frontal and parietal brain areas which was more pronounced 1year later. As a consequence of opening the eyes connectivity in the alpha1 band within the parietal lobe decreased compared to the eyes closed condition but only in the control group. The lack of alpha1 band reactivity following eye opening could reliably differentiate patients from controls. Our preliminary results support the notion that the functional disconnection between distant brain areas is a characteristic feature of MCI, and may prove to be predictive in terms of the progression of this condition.
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http://dx.doi.org/10.1016/j.ijpsycho.2014.02.001 | DOI Listing |
Gerontologist
September 2025
Department of Child Development and Family Studies, College of Human Ecology, Seoul National University, Seoul, South Korea.
Background And Objectives: Volunteering has cognitive benefits in later life and has been theorized to protect against Alzheimer's disease and related dementias (ADRD). A small but growing body of volunteer programs target people with mild cognitive impairment (MCI)-who are presumably at elevated risk for ADRD, but we know surprisingly little about who volunteers with MCI and how volunteering affects their subsequent cognitive changes. The current study sought to address these gaps.
View Article and Find Full Text PDFIEEE J Biomed Health Inform
September 2025
Vision Transformer (ViT) applied to structural magnetic resonance images has demonstrated success in the diagnosis of Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, three key challenges have yet to be well addressed: 1) ViT requires a large labeled dataset to mitigate overfitting while most of the current AD-related sMRI data fall short in the sample sizes. 2) ViT neglects the within-patch feature learning, e.
View Article and Find Full Text PDFAnn Acad Med Singap
August 2025
Dementia Research Centre (Singapore), Lee Kong Chian School of Medicine, Nanyang Technology University, Singapore.
Introduction: Interpretation and analysis of magnetic resonance imaging (MRI) scans in clinical settings comprise time-consuming visual ratings and complex neuroimage processing that require trained professionals. To combat these challenges, artificial intelligence (AI) techniques can aid clinicians in interpreting brain MRI for accurate diagnosis of neurodegenerative diseases but they require extensive validation. Thus, the aim of this study was to validate the use of AI-based AQUA (Neurophet Inc.
View Article and Find Full Text PDFJ Alzheimers Dis
September 2025
Paula Costa-Urrutia Medical Affairs, Terumo BCT, Edificio Think MVD, Montevideo, Uruguay.
BackgroundTherapeutic plasma exchange (TPE) with albumin replacement has emerged as a potential treatment for Alzheimer's disease (AD). The AMBAR trial showed that TPE could slow cognitive and functional decline, along with changes in core and inflammatory biomarkers in cerebrospinal fluid.ObjectiveTo evaluate the safety and effectiveness of TPE in a real-world setting in Argentina.
View Article and Find Full Text PDFEndocrine
September 2025
Department of General Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India.