Dementia and Cognitive Impairment Research

Multimodal brain age prediction using machine learning: combining structural MRI and 5-HT2AR PET derived features

This study predicts brain age using 5-HT2AR PET and MRI data, finding that combining both improves accuracy compared to using either modality alone.

Scale-free dynamics of cerebrospinal fluid regions is associated with Alzheimer's disease-related pathology

The paper examines scale-free dynamics in cerebrospinal fluid regions and finds higher Hurst exponents in Alzheimer's Disease patients compared to cognitively normal individuals, correlating with AD biomarkers.

ArcheD, a residual neural network for prediction of cerebrospinal fluid amyloid-beta from amyloid PET images

ArcheD predicts cerebrospinal fluid amyloid-beta levels from amyloid PET images with strong correlation, showing distinct brain region contributions across AD stages.

Combining Blood-Based Biomarkers and Structural MRI Measurements to Distinguish Persons With and Without Significant Amyloid Plaques

This paper develops and validates an integrated model combining MRI and blood-based biomarkers to predict brain amyloid PET positivity with high accuracy.

Altered empathy processing in frontotemporal dementiaA task-based fMRI study

This study uses fMRI to examine empathy processing in bvFTD patients and controls, finding reduced BOLD signal in key regions and altered connectivity patterns.

Nucleus basalis of Meynert degeneration signals earliest stage of Alzheimer's disease progression

This study uses MRI and deformation-based morphometry to show that nucleus basalis of Meynert degeneration occurs earlier than entorhinal cortex or hippocampus degeneration in Alzheimer's disease.

Residual Partial Least Squares Learning: Brain Cortical Thickness Simultaneously Predicts Eight Non-pairwise-correlated Behavioural and Disease Outcomes in Alzheimer's Disease

This paper introduces re-PLS Learning to predict multiple AD outcomes from brain cortical thickness, identifying joint predictive regions across cohorts.

Lost in space(s): multimodal neuroimaging of disorientation along the Alzheimer's disease continuum

The paper investigates disorientation across spatial, temporal, and social domains in Alzheimer's disease using fMRI and identifies distinct brain network and metabolic patterns associated with different stages of the disease.

Human brain aging heterogeneity observed from multi-region omics data reveals a subtype closely related to Alzheimer's disease

The paper identifies an AD-like subtype in brain aging across multiple regions, showing overlap with AD gene signatures and regional differences in gene expression.

Machine learning prediction of future amyloid beta positivity in amyloid-negative individuals

This paper predicts future amyloid beta positivity in amyloid-negative individuals using machine learning with non-invasive measures, finding better performance with CSF-based definitions.

Polygenic effects on the risk of Alzheimer's disease in the Japanese population

This paper evaluates the polygenic risk score for Alzheimer's disease in Japanese individuals, showing its utility despite genetic differences from European populations.

Defining overlooked structures reveals new associations between cortex and cognition in aging and Alzheimer's disease

The paper identifies tertiary sulci in the posterior medial cortex that show greater age and Alzheimer's disease-related thinning and are linked to cognitive functions like memory and executive function.

BrainAGE: Revisited and reframed machine learning workflow

The paper revises the BrainAGE method using Gaussian process regression, showing improved performance on UK Biobank data and disease-specific patterns in clinical samples.

Fornix fractional anisotropy mediates the association between Mediterranean diet adherence and memory four years later in older adults without dementia

The paper examines if fractional anisotropy of the fornix mediates the link between Mediterranean diet adherence and verbal memory decline in older adults over four years.

Functional Connectivity Differences in Distinct Dentato-Cortical Networks in Alzheimers Disease and Mild Cognitive Impairment

The paper examines functional connectivity differences in cerebellar dentate nucleus networks in Alzheimer's disease and mild cognitive impairment compared to cognitively normal individuals, finding altered connectivity patterns and behavioral associations.

Joint signatures of morphological and microstructural inter-individual variation in the Alzheimer's spectrum

The paper identifies joint signatures of microstructural and morphological changes in the Alzheimer's spectrum using MRI metrics and non-negative matrix factorization, linking them to risk factors and disease progression.

Tau-related reduction of glucose metabolism in mild cognitive impairment occurs independently of APOE ε4 genotype and is gradually modulated by β amyloid

The paper investigates the relationship between tau PET, glucose metabolism, and beta-amyloid in MCI, finding that tau scores are strongly correlated with reduced glucose metabolism independently of APOE ε4 and modulated by beta-amyloid.

The long distance relationship of regional amyloid burden and tau pathology spread

The paper investigates the relationship between regional amyloid burden and tau pathology spread, finding that functional connectivity mediates the spatial relationship between these pathologies.

Genetic Testing in patients with Dementia: A Data-Driven Clinical Decision Tree for Memory Clinics

This paper introduces a decision tree to improve the identification of dementia patients with pathogenic genetic variants by optimizing clinical selection criteria for genetic testing.

Identification of Novel Biomarkers for Alzheimer's Disease and Related Dementias Using Unbiased Plasma Proteomics

This study identifies novel plasma biomarkers for Alzheimer's disease and related dementias using unbiased proteomics in a large cohort.

Effect of APOE e4 and its modification by sociodemographic characteristics on cognitive measures in South Asians from LASI-DAD

The paper examines the effect of APOE ε4 and its interaction with sociodemographic factors on cognitive measures in South Asians from LASI-DAD, finding stronger associations in older adults and females.

Delayed primacy recall performance predicts post mortem Alzheimers disease pathology from unimpaired ante mortem cognitive baseline

The paper shows that delayed primacy recall from the CERAD memory test predicts post mortem Alzheimer's disease pathology in individuals with unimpaired cognitive baseline.

Resting-state EEG signatures of Alzheimer's disease are driven by periodic but not aperiodic changes

The paper investigates whether Alzheimer's disease EEG changes are due to periodic or aperiodic signal alterations, finding they are purely periodic.

Genetic characterization of the ALFA study: Uncovering genetic profiles in the Alzheimer's continuum.

The paper characterizes the genetic profiles of ALFA participants, showing high AD genetic risk and similarity to clinical groups along the AD continuum.

The association of longitudinal diet and waist-to-hip ratio from midlife to old age with hippocampus connectivity and memory in old age: a cohort study

Harmonization of CSF and imaging biomarkers for Alzheimer's disease biomarkers: need and practical applications for genetics studies and preclinicalclassification

The paper harmonizes CSF and amyloid imaging biomarkers using a Z-score approach and compares it to existing methods in GWAS analyses.

A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition

This study identifies a latent clinical-anatomical dimension linking metabolic syndrome severity to brain morphology and cognition in 40,087 individuals.

Identify Alzheimer's disease subtypes and makers from multi-omic data of human brain and blood with a subspace merging algorithm

This study integrates multi-omic data from brain and blood to identify AD subtypes and proposes LDLR as a blood biomarker linked to brain gene expression changes.

Diagnostic images for mild cognitive impairment reveal biomarker status and abnormal scene processing

The paper identifies diagnostic images that correlate with Alzheimer's biomarkers and show differential neural processing in MCI patients compared to healthy controls.

Brain Metabolic Network Covariance and Aging in a Mouse Model of Alzheimer's Disease

The paper uses metabolic covariance analysis on PET imaging data from a mouse model of Alzheimer's disease to show age-related metabolic network changes and their alignment with clinical AD stages.