Frontiers in Aging Neuroscience

Alzheimers disease is a neurodegenerative disorder that affects more than 50 million people worldwide. Current diagnostic methods include cerebrospinal fluid testing and CT/MRI scans, which are either invasive, expensive, or non-specific. This study aimed to develop alternative diagnostic approaches for early detection by creating a transparent algorithm using blood-based transcriptomic biomarkers associated with Alzheimers. Towards this, a microarray dataset from NCBI GEO was obtained, which co...

The default mode network (DMN) is a prominent neural network in the human brain that exhibits a substantial association with Alzheimers disease (AD). Functional connectivity (FC) and grey matter volume (GMV) were reported to differ between AD and healthy controls (HC). Nevertheless, available evidence is scarce regarding the structural and functional alterations observed in individuals diagnosed with Alzheimers disease (AD) within the context of Malaysia. A prospective cross-sectional study was ...

Caregivers identify the need for continuous supervision of Alzheimers disease patients while awake as a "milestone" functional change that has a profound impact on the lives of the caregiver and patient. The specific predictors of this important functional change are not known. We determined specific cognitive, neuropsychiatric, and motor symptoms associated with Alzheimers disease patients needing supervision while awake in a longitudinal, ethnically diverse cohort of Alzheimers disease patient...

Alzheimers Disease (AD), the sixth leading cause of death in the US, and cardiovascular disease (CVD), the first leading cause of death in the US, are frequently associated. Past studies hypothesize that amyloid deposits damage organs, causing this association. Examining how vascular factors can influence AD pathogenesis can help in understanding the link between the blood to the brain, which can provide alternative paths of exploration for disease treatment. This study analyzes gene expression ...

BackgroundAlzheimers disease (AD) is a complex disorder, and its risk is influenced by multiple genetic and environmental factors. In this study, an AD risk gene prediction framework based on spatial and temporal features of gene expression data (STGE) was proposed. MethodsWe proposed an AD risk gene prediction framework based on spatial and temporal features of gene expression data. The gene expression data of providers of different tissues and ages were used as model features. Human genes wer...

Alzheimers Disease (AD) is a progressive neurodegenerative disorder and the most commonly diagnosed cause of dementia, and it is the fifth leading cause of death among people aged 65 and older. During the years, the early diagnosis of AD patients has been a significant concern for researchers, in view of the fact that early diagnosis not only can lead to saving lives of the AD patients but also could bring a considerable amount of saving in health and long-term care expenditures for both people ...

Disclaimer text: The authors have withdrawn this manuscript because some authors did not consent with its publication and the data are too preliminary to be disseminated. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

Iron has been found to play an important role in neurodegeneration. Quantitative susceptibility mapping (QSM) is a relatively new - and the most accurate - MRI technique available for assessment of iron deposition in the brain. There is a rapidly growing number of studies using QSM to investigate brain iron distribution in neurodegenerative diseases including but not limited to Alzheimers disease, Parkinsons disease, Amyotrophic lateral sclerosis, Huntington disease and Wilsons disease. These st...

Study objectivesRodent studies suggested that improvement in sleep duration might correlate with better cognitive function. We aimed to examine the associations between changes in sleep duration and cognitive function. Methods10325 individuals from the China Health and Retirement Longitudinal Study (CHARLS) were included. Self-reported nocturnal sleep duration and cognitive function were assessed in CHARLS 2011, 2013 and 2015 (Wave 1, Wave 2, Wave3). Cognitive function was assessed by a global ...

The vestibular system is emerging as a pre-eminent contributor to alterations in the structure and function of the central nervous system. Yet, whether age-related vestibular loss is related to volume loss in the cerebral cortical areas that receive vestibular input remains unknown. In this cross-sectional study of 117 healthy, older adults from the Baltimore Longitudinal Study of Aging, we examine the relationships between age-related vestibular functions and the gray matter volumes of the pref...

IntroductionIndividuals with Mild Cognitive Impairment (MCI), a transitional stage between cognitively healthy aging and dementia, are characterized by subtle neurocognitive changes. Clinically, they can be grouped into two main variants, namely into patients with amnestic MCI (aMCI) and non-amnestic MCI (naMCI). The distinction of the two variants is known to be clinically significant as they exhibit different progression rates to dementia. However, it has been particularly challenging to class...

There has been an increasing interest in studying electroencephalogram (EEG) as a biomarker of Alzheimers disease but the association between EEG signals and patients neuropsychiatric symptoms remains unclear. We studied EEG signals of patients with Alzheimers disease to explore the associations between patients neuropsychiatric symptoms and clusters of patients based on their EEG powers. A total of 69 patients with mild Alzheimers disease (the Clinical Dementia Rating = 1) were enrolled and the...

AO_SCPLOWBSTRACTC_SCPLOWO_ST_ABSBackground and PurposeC_ST_ABSAlzheimers Disease (AD) is a complex neurodegenerative disease that has been becoming increasingly prevalent in recent decades. Efforts to identify predictive biomarkers of the disease have proven difficult. Advances in the collection of multi-omic data and deep learning algorithms have opened the possibility of integrating these various data together to identify robust biomarkers for predicting the onset of the disease prior to the o...

BackgroundVascular cognitive impairment (VCI) is one of the most common diseases among the elderly. However, few effective drugs have been approved for VCI. Traditional Chinese medicine (TCM) has been used in dementia for thousands of years. Currently, there is limited high-quality evidence for the efficacy of TCM, and the specific characteristics of its effects and the appropriate patient populations for TCM therapies remain unclear. Herein, we aim to explore the effectiveness and safety of TCM...

ObjectiveAnalyze the differences in the detection results of Alzheimers disease (AD) serum biomarkers and the expression of APOE and SLCO1B1 genotypes, then construct an AD diagnostic model integrating serum biomarkers with APOE and SLCO1B1 genotypes to enhance the sensitivity and specificity of AD screening. MethodsSerum samples from 127 participants (41 AD, 39 cognitive impairments, 47 controls) were analyzed for neurofilament light chain (NF), A{beta}42/A{beta}40 ratio, p-TAU231, and p-TAU21...

Accurate diagnosis of frontotemporal dementia (FTD) with right anterior temporal lobe (RATL) predominance remains challenging due to lack of clinical characterization, and standardized terminology. The recent research of the International Working Group (IWG) identified common symptoms but also unveiled broad terminologies lacking precision and operationalization, with risk of misdiagnoses, inappropriate referrals and poor clinical management. Based on the published evidence (91267 articles scree...

BackgroundIn normal pressure hydrocephalus (NPH) there is blood brain barrier (BBB) disruption, which should increase the CSF formation rate (CSFfr) and therefore the intracranial pressure (ICP). However, the ICP is normal in NPH. A lumped parameter study suggested that the CSFfr could be reduced in this condition if the BBB disruption was moderated by a reduction in the capillary transmural pressure (TMP) secondary to arteriolar constriction. In early Alzheimers disease (AD), there is BBB disru...

State of the ArtApathy and impulsivity are common in syndromes associated with frontotemporal lobar degeneration (FTLD). They are associated with high carer distress and poor patient outcomes. There are limited treatment options and progress has been hindered by a lack of appropriate outcome measures. This study aimed to develop a carer-rated questionnaire oriented to people with syndromes associated with FTLD. MethodologyPrincipal component and Rasch analysis were conducted on carer-, clinicia...

Researchers are currently exploring methods to detect early-stage Alzheimers Disease (AD) and other forms of dementia such as frontotemporal dementia (FTD), especially through non-invasive biomarkers, i.e., measurements that reflect biological processes. This paper utilizes a dataset of electroencephalogram (EEG) recordings, a noninvasive biomarker, to distinguish individuals with Alzheimers or frontotemporal dementia from healthy control subjects. This paper explores the usage of machine learni...

BackgroundThe cognitive function is a complex mental process involving the temporal projections (cingulum, superior longitudinal fasciculus[SLF], inferior longitudinal fasciculus[ILF], and uncinate fasciculus[UF]). Therefore, a brain injury involving the temporal projections results in cognitive impairment. However, few studies have reported the pathophysiological mechanisms associated with cognitive impairment in patients with putaminal hemorrhage(PH). In this study, using diffusion tensor trac...