Dementia and Cognitive Impairment Research

Medial temporal lobe atrophy patterns in early- versus late-onset amnestic Alzheimer's disease

The paper compares medial temporal lobe atrophy patterns in early-onset and late-onset amnestic Alzheimer's disease, finding similar atrophy levels but differences in specific subregions.

APOE4 and Infectious Diseases Jointly Contribute to Brain Glucose Hypometabolism, a Biomarker of Alzheimers Pathology: New findings from the ADNI

The paper investigates how APOE4 and infections together contribute to brain glucose hypometabolism, a marker of Alzheimer's pathology, using ADNI data.

Digital cognitive assessments as low-burden markers for predicting future cognitive decline and tau accumulation across the Alzheimer's spectrum

This study evaluates digital cognitive assessments as low-burden tools for predicting cognitive decline and tau accumulation in Alzheimer's disease, finding they outperform Aβ and tau PET in detecting mild cognitive impairment and predicting decline.

Cognitive modeling of the Mnemonic Similarity Task as a digital biomarker for Alzheimer's Disease

This study uses cognitive modeling of the Mnemonic Similarity Task to detect early signs of Alzheimer's Disease before cognitive decline, showing better prediction of biomarkers than traditional metrics.

The speed limits for tau pathology progression in Alzheimer's disease

The paper examines how modifiable factors and genetic determinants interact with pathological load to influence tau pathology progression in Alzheimer's disease.

Blood DNA methylation levels of the oxytocin promoter predict conversion from mild cognitive impairment to dementia in females within a clinical cohort of cognitive complaints

Blood-based multivariate methylation risk score for cognitive impairment and dementia

The paper develops a multivariate methylation risk score using blood DNA methylation data to predict dementia risk and cognitive impairment in Alzheimer's and Parkinson's disease cohorts.

Candidate Molecular Subtypes of Cognitive Resilience in Alzheimers Disease: A Multi-Cohort Machine Learning and Neuroimaging Study

The paper uses machine learning on multi-cohort transcriptomic and proteomic data to identify molecular subtypes of cognitive resilience in Alzheimer's disease and finds two major subgroups with distinct proteomic and neuroimaging features.

An estimate of the longitudinal pace of aging from a single brain scan predicts dementia conversion, morbidity, and mortality

The paper introduces DunedinPACNI, a brain MRI-based aging measure that predicts dementia conversion, morbidity, and mortality.

Cognitive tests of pattern separation as sleep-sensitive measures in middle-aged and older adults: An exploratory study

This study explores cognitive tests sensitive to sleep quantity and early dementia-related cognitive changes in middle-aged and older adults.

Neural Mechanism Underlying Successful Classification of Amnestic Mild Cognitive Impairment Using Multi-Sensory-Evoked Potentials

This paper uses multi-sensory-evoked potentials and a support vector machine to classify aMCI with high accuracy, showing better performance when combining multiple modalities.

Peripheral insulin resistance attenuates cerebral glucose metabolism and impairs working memory in healthy adults

The paper investigates how peripheral insulin resistance affects cerebral glucose metabolism and working memory in healthy adults, finding greater impacts in younger adults.

Nomination of a novel plasma protein biomarker panel capable of classifying Alzheimer's disease dementia with high accuracy in an African American cohort

Tensor Kernel Learning for Classification of Alzheimer's Conditions using Multimodal Data

This paper introduces a tensor kernel learning method to integrate multimodal data for Alzheimer's disease classification, achieving improved accuracy compared to single-modality approaches.

Brain Age Analysis and Dementia Classification using Convolutional Neural Networks trained on Diffusion MRI: Tests in Indian and North American Cohorts

This paper evaluates CNN models for brain age prediction and dementia classification using diffusion MRI, showing improved performance after dataset harmonization across Indian and North American cohorts.

Generative deep learning models for cognitive performance trajectories in real-world scenarios

This paper compares deep learning models for predicting cognitive performance trajectories using real-world data and finds CNNs to be the most robust for pattern recognition and overfitting resistance.

The Advanced BRain Imaging on ageing and Memory (ABRIM) data collection: Study protocol and rationale

ABRIM collects and shares MRI and behavioral data from 295 adults to study cognitive aging, focusing on brain connectivity, myelinization, iron content, and cognitive functions across the lifespan.

Terminally differentiated effector memory T cells associate with cognitive and AD-related biomarkers in an aging-based community cohort

This study examines the association between terminally differentiated effector memory T cells (TEMRAs) and cognitive and AD-related biomarkers in an aging cohort, finding CD8+ TEMRAs correlate with neuroinflammation markers.

Impact of cardiometabolic factors and blood beta-amyloid on the volume of white matter hyperintensities in dementia-free subjects with cognitive complaints

The paper examines the relationship between cardiometabolic factors, blood beta-amyloid, and white matter hyperintensities in dementia-free individuals with cognitive complaints, finding stronger associations with cardiometabolic markers.

A Novel Artificial Intelligence (AI) Method to Classify and Predict the Progression of Alzheimers Disease

This paper develops an AI-ensembled network to classify Alzheimer's disease stages and predict progression using MRI data from ADNI.

Medial amygdalar tau is associated with anxiety symptoms in preclinical Alzheimer's disease

The paper examines amygdalar tau binding and connectivity in preclinical Alzheimer's disease, finding associations with anxiety symptoms.

Neural Markers Of Reduced Arousal And Consciousness In Mild Cognitive Impairment

This study finds reduced consciousness and arousal in mild cognitive impairment (MCI) using MEG biomarkers, with lower LZ complexity and higher TAR indicating decreased consciousness and increased drowsiness.

Cardiometabolic state links neurovascular burden with brain structure and function across age: evidence from EEG and MRI

This study links cardiometabolic state, measured by an allostatic load index, with neurovascular burden and brain structure/function changes across age using EEG and MRI data.

PVTAD: ALZHEIMERS DISEASE DIAGNOSIS USING PYRAMID VISION TRANSFORMER APPLIED TO WHITE MATTER OF T1-WEIGHTED STRUCTURAL MRI DATA

PVTAD classifies Alzheimer's disease and cognitively normal cases using a pyramid vision transformer on white matter MRI data, achieving 97.7% accuracy.

Multimodal Imaging Investigation of Rich Club Alterations in Alzheimer's Disease and Mild Cognitive Impairment: Amyloid Deposition, Structural Atrophy, and Functional Activation Differences

This study investigates rich club alterations in Alzheimer's Disease and Mild Cognitive Impairment using multimodal imaging, finding accelerated gray matter atrophy and increased amyloid deposition in rich club regions.

AITeQ: A machine learning framework for Alzheimer's prediction using a distinctive 5-gene signature

This paper develops AITeQ, a machine learning framework for Alzheimer's disease prediction using a 5-gene signature identified from RNA-Seq data.

High delay discounting relates to core symptoms and to pulvinar atrophy in frontotemporal dementia

This study finds that frontotemporal dementia patients show higher delay discounting, linked to impulsivity symptoms and pulvinar atrophy.

Cerebrovascular Health Mediates Processing Speed Change Through Anterior White Matter Alterations: A UK Biobank Study

This study shows that poor cerebrovascular health slows processing speed through anterior white matter changes in middle-aged adults, with effects specific to cognition and risk factor duration.

Compositional structural brain signatures capture Alzheimer's genetic risk on brain structure along the disease continuum

The paper identifies brain structure signatures linked to Alzheimer's genetic risk across disease stages using compositional data analysis.

Resiliency to Alzheimer's disease neuropathology can be distinguished from dementia using cortical astrogliosis imaging

This study uses MD-MRI to map cortical astrogliosis and distinguishes cognitive resilience from dementia in Alzheimer's disease despite significant neuropathology.