We summarize here the findings of several studies in which we analyzed the event-related brain potentials (ERPs) elicited in participants with mild cognitive impairment (MCI) and in healthy controls during performance of executive tasks. The objective of these studies was to investigate the neural functioning associated with executive processes in MCI. With this aim, we recorded the brain electrical activity generated in response to stimuli in three executive control tasks (Stroop, Simon, and Go/NoGo) adapted for use with the ERP technique. We found that the latencies of the ERP components associated with the evaluation and categorization of the stimuli were longer in participants with amnestic MCI than in the paired controls, particularly those with multiple-domain amnestic MCI, and that the allocation of neural resources for attending to the stimuli was weaker in participants with amnestic MCI. The MCI participants also showed deficient functioning of the response selection and preparation processes demanded by each task.
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http://dx.doi.org/10.3389/fpsyg.2018.00842 | DOI Listing |
Brain Sci
January 2025
Laboratory of Neurodegenerative Diseases, Center of Interdisciplinary Research and Innovation (CIRI-AUTH), Balcan Center, Buildings A & B, 57001 Thessaloniki, Greece.
The study examined the relationships between specific Theory-of-Mind (ToM) dimensions, cognitive planning, and sleep duration in aging adults. The sample included 179 participants, comprising 46 cognitively healthy individuals, 75 diagnosed with amnestic Mild Cognitive Impairment (aMCI), and 58 with non-amnestic (naMCI). The mean age of the participants was 70.
View Article and Find Full Text PDFAlzheimers Dement
January 2025
Department of Neurology, Inha University College of Medicine, Incheon, Republic of Korea.
Introduction: We investigated the efficacy of a multidomain intervention (MI) via face-to-face and video communication platforms using a tablet personal computer application in patients with mild cognitive impairment (MCI).
Methods: Three hundred participants with MCI and ≥ 1 modifiable dementia risk factor, aged 60-85 years, were randomly assigned to either the MI group, who underwent a 24-week intervention, or the control group, who received usual care.
Results: The overall adherence rate to MI was 84.
Geroscience
January 2025
Department of Translational Medicine and for Romagna, Università of Ferrara, Via Luigi Borsari 46, 44121, Ferrara, Italy.
β-Secretase-1 (BACE1) plays a key role in the regulation of cerebral amyloid-β homeostasis, being involved in amyloidogenic and, as recently found, amyloidolytic pathways. Growing evidence indicates that increased serum BACE1 (sBACE1) activity might represent an early biomarker for Alzheimer's disease. Here, we tested the hypothesis that an increase in sBACE1 activity may already occur in individuals with subjective cognitive decline (SCD).
View Article and Find Full Text PDFCureus
December 2024
Geriatric and Memory Center, Broadlawns Medical Center, Des Moines, USA.
The novel amyloid-beta, p-Tau, and neurofilament light chain (ATN) classification scheme has become a promising system for clinically detecting and diagnosing Alzheimer's disease (AD). In addition to its utility in Alzheimer's diagnosis and treatment, the ATN framework may also have clinical relevance in identifying non-Alzheimer's pathologies. In this study conducted at Broadlawns Geriatric and Memory Center, 92 amyloid-negative profiles out of 182 patients with an ATN framework were categorized into subjective cognitive impairment (SCI), non-amnestic mild cognitive impairment (non-amnestic MCI), amnestic MCI, Alzheimer's dementia, vascular dementia, mixed dementia, unspecified dementia, or other memory changes based on diagnoses written in the chart.
View Article and Find Full Text PDFPsychiatry Clin Neurosci
January 2025
Department of Neuropsychiatry, Kochi Medical School, Kochi University, Kochi, Japan.
Aim: Despite the clinical importance and significant social burden of neuropsychiatric symptoms (NPS) in dementia, the underlying neurobiological mechanism remains poorly understood. Recently, neuroimaging-derived brain-age estimation by machine-learning analysis has shown promise as an individual-level biomarker. We investigated the relationship between NPS and brain-age in amnestic mild cognitive impairment (MCI) and early dementia.
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