: Amnestic mild cognitive impairment (aMCI) has a high conversion risk to Alzheimer's disease (AD). The aMCI patients may have only a memory deficit (single-domain-aMCI, sd-aMCI) or deficits in multiple cognitive domains (multiple-domain-aMCI, md-aMCI). However, differences in intrinsic brain activity between these two sub-types remain unclear. : Neuropsychological and resting-state functional magnetic resonance imaging (fMRI) data were acquired from 24 patients with sd-aMCI, 23 patients with md-aMCI, and 32 healthy controls (HCs). We used the fractional amplitude of low-frequency fluctuation (fALFF) to characterize the intensity of spontaneous brain activity. The analysis of covariance (ANCOVA) and tests was performed to determine the between-group differences in fALFF. : We found higher fALFF in left-sided superior-to-middle frontal gyri and middle-to-inferior temporal gyri in sd-aMCI compared to both the md-aMCI and HCs. Conversely, a lower fALFF was found in the left inferior parietal lobe in both the md-aMCI and sd-aMCI patients. The fALFF values in the left middle and inferior temporal gyri were correlated with cognitive performances. : The gradual reduction in the left inferior parietal lobe from single to multiple domain aMCI suggest a functional inefficiency underlying cognitive impairment, while increased activity in the frontal and temporal gyri in sd-aMCI rather than md-aMCI might indicate functional compensation. This study indicates differential functional profiles in the sd-aMCI and md-aMCI, which may be helpful for the prediction of the future conversion of aMCI to AD.
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http://dx.doi.org/10.3389/fnhum.2020.00002 | DOI Listing |
Front Mol Neurosci
February 2025
Center for Dementia Research, Nathan Kline Institute, Orangeburg, NY, United States.
Introduction: Individuals with Down syndrome (DS) exhibit neurological deficits throughout life including the development of in Alzheimer's disease (AD) pathology and cognitive impairment. At the cellular level, dysregulation in neuronal gene expression is observed in postmortem human brain and mouse models of DS/AD. To date, RNA-sequencing (RNA-seq) analysis of hippocampal neuronal gene expression including the characterization of discrete circuit-based connectivity in DS remains a major knowledge gap.
View Article and Find Full Text PDFBackground And Aims: Alzheimer's disease (AD) is a widespread neurodegenerative condition that has a growing impact on a global scale. This study aims to examine the relationship between cerebral blood flow (CBF) and the synaptic biomarker growth-associated protein 43 (GAP-43) through the utilization of arterial spin labeling (ASL). The research identified noteworthy correlations between cerebrospinal fluid (CSF) GAP-43 levels, CBF, and cognitive composite scores, especially among participants with mild cognitive impairment (MCI) who possess the APOE-ε4 gene.
View Article and Find Full Text PDFBrain Commun
February 2025
National Dementia BioBank, AMPAEYDEN A.C., and Federación Mexicana de Alzheimer, Estado de México CP 54743, México.
Alzheimer's disease is characterized by progressive memory loss and deterioration of cognitive functions. The presence of neurofibrillary tangles in the hippocampal areas (perforant pathway) correlates with cognitive impairment. Pathological processing of tau protein is characterized by post-translational changes such as hyperphosphorylation and truncation, which favour conformational changes within tau.
View Article and Find Full Text PDFFront Neurosci
February 2025
Centre for Brain Research, Indian Institute of Science (IISc), Bengaluru, Karnataka, India.
Introduction: Mild cognitive impairment (MCI), often linked to early neurodegeneration, is associated with subtle disruptions in brain connectivity. In this paper, the applicability of persistent homology, a cutting-edge topological data analysis technique is explored for classifying MCI subtypes.
Method: The study examines brain network topology derived from fMRI time series data.
Front Aging Neurosci
February 2025
Department of Emergency, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, China.
Background: The atherogenic index of plasma (AIP) has been proposed as a novel biomarker predictor for dyslipidemia and has been linked to various diseases. In this study, we explored the relationship between AIP levels and cognitive impairment in a middle-aged and older population.
Methods: This study utilized data from the China Health and Retirement Longitudinal Study (CHARLS) for 7,918 individuals aged 45 and older.
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