Dementia and Cognitive Impairment Research

Multi-domain AD risk burden and plasma biomarkers in cognitively unimpaired adults

The paper examines how combined genetic, familial, and lifestyle risk factors affect plasma biomarkers in cognitively unimpaired adults, finding that higher risk burden correlates with specific biomarker changes.

Revealing trajectories of multi-modal voxel-level changes in neurodegenerative diseases using latent event mapping

This paper introduces LEMING, a method to model voxel-level disease progression in neurodegenerative diseases, revealing new insights into acetylcholine receptor associations with amyloid and atrophy events.

Global brain maintenance predicts well-preserved cognitive function: A pooled analysis of three longitudinal population-based Swedish cohorts

This study shows that maintaining brain integrity through aging is linked to better cognitive function and slower decline, with lifestyle factors like lower cardiovascular risk and no diabetes playing a role.

TACR3 variant confers resilience to aging and Alzheimer's disease

This study identifies the TACR3 variant rs2765 as protective against age- and Alzheimer's-related cognitive decline, showing slower cognitive decline and younger epigenetic age in carriers.

Modelling cognitive outcomes in the UK Biobank: education, noradrenaline and frontoparietal networks

The paper models how education interacts with neurobiological features to influence cognitive outcomes in the UK Biobank cohort, showing that right fronto-parietal connectivity mediates this effect.

A Favorable Modifiable Risk Factor Profile Mitigates Polygenic Risk for Alzheimers Disease and Related Dementia

This study shows that a favorable lifestyle reduces ADRD risk even in individuals with high polygenic risk, but APOE ε4 genotype remains a strong risk factor.

Neuropathologically validated MRI to tau PET synthesis via Covariate-modulated attention networks

The paper introduces CoMA-UNet, a method to synthesize tau PET from MRI using covariates, showing strong agreement with true PET and utility in clinical tasks.

Transcriptomic phase transitions along the Alzheimer's disease continuum using riemmaninan tensor model: a bifurcation-intermediate variance framework on the ROSMAP cohort

The paper uses Riemannian geometry on bulk RNA-seq data from the ROSMAP cohort to analyze transcriptomic changes across Alzheimer's disease stages, identifying MCI as a bifurcation state.

Limited Volumetric Separation Across CDR Groups in OASIS-1

This study examines whether CDR labels in the OASIS-1 dataset show consistent volumetric differences in hippocampus, amygdala, and cortex.

Thalamic nuclei insights into Alzheimer's disease

The paper identifies thalamic volume reductions in Alzheimer's disease and shows their utility in classifying cognitive status and reclassifying patients.

Plasma proteomics reveals divergent sex-specific senescence and bone biology signatures across neurodegenerative diseases

This study identifies sex-specific changes in bone and senescence-related proteins in neurodegenerative diseases using plasma proteomics.

SNAP MRI Reveals Association Between Distal Cerebral Arterial Flow and Cognitive Function in an Aging Population

This study shows that SNAP MRI measurements of distal cerebral arterial flow correlate with cognitive function in aging individuals, suggesting their value in assessing cerebrovascular health.

Predicting Autopsy-Confirmed Neuropathology across Clinical, Neuroimaging, and CSF Biomarkers using Machine Learning

The paper uses machine learning to predict autopsy-confirmed neuropathology from clinical, neuroimaging, and CSF biomarkers, finding that different modalities best predict specific pathologies.

Proteomic Signatures of Neuropathological Alterations in Alzheimer's Disease: Insights from the Bio-Hermes Study

The paper uses plasma proteomics to identify differentially abundant proteins and co-expression modules across Alzheimer's disease stages, highlighting potential biomarkers for early detection.

petVAE: A Data-Driven Model for Identifying Amyloid PET Subgroups Across the Alzheimer's Disease Continuum

petVAE identifies biologically meaningful subgroups along the Alzheimer's disease continuum using a deep learning model trained on amyloid PET scans.

Lamellar Normative Modelling of the Hippocampus Across the Human Lifespan

This paper establishes a normative model of hippocampal geometry across the lifespan using data from 27,000 individuals, revealing age-related changes and disease-specific alterations.

Basal forebrain volume is associated with cortical amyloid burden in cognitively unimpaired older adults at varying genetic risk for Alzheimers disease

This study finds that nucleus basalis of Meynert (Ch4) volume is inversely associated with cortical amyloid burden in cognitively unimpaired adults at varying genetic risk for Alzheimer's disease.

A Genome-wide Association Study of Alzheimer's Disease and Dementia in a Large Multi-ancestry Military Cohort Identifies Many New Dementia-Associated Loci

This paper conducts a genome-wide association study of Alzheimer's disease and dementia in a multi-ancestry military cohort, identifying 72 new dementia-associated loci through meta-analysis.

Multi-domain Brain Age from Digital Cognitive Metrics as a novel approach for new longevity

The paper develops a model to predict brain age using digital cognitive metrics and finds it detects accelerated aging in neurological conditions.

Behavioral and psychological symptoms of dementia: insights from a multivariate and network-based brain proteome-wide study

This study identifies proteins and networks associated with behavioral and psychological symptoms of dementia using proteomic data from multiple cohorts.

Stable episodic memory and high education do not influence the rate of Alzheimer's disease pathology as measured by plasma p-tau217

The paper examines whether stable episodic memory or high education affects Alzheimer's disease pathology measured by plasma p-tau217, finding no such association.

Distinct Multimodal Imaging Correlates of Depression in Middle-Aged Adults With and Without a Family History of Alzheimer Disease

The paper identifies distinct structural and functional brain correlates of depression in middle-aged adults with and without a family history of Alzheimer's disease.

Dysfunction of the episodic memory network in the Alzheimer's disease cascade

This study examines how episodic memory network dysfunction relates to AD biomarkers, neurodegeneration, and cognition using longitudinal fMRI data from the DZNE study.

Alzheimers Disease Brain Phenotypes are Age-dependent

This paper shows that age information is essential for Alzheimer's Disease detection using brain MRI, outperforming age-invariant methods and revealing flaws in brain-age gap as a biomarker.

Integrating Acoustic, Prosodic, and Phonological Features for Automatic Alzheimer's Detection

This paper investigates acoustic, prosodic, and phonological speech features for Alzheimer's detection, finding that combining these features improves diagnostic accuracy.

Hippocampal-to-Ventricle Ratio as a Head-Size-IndependentBiomarker: Sex Differences and Cognitive Associations in 27,680UK Biobank Participants

The paper evaluates hippocampal-to-ventricle ratio (HVR) as a head-size-independent biomarker, showing consistent sex differences and cognitive associations in UK Biobank participants.

Cognitive Vergence and Pupillary Responses as Functional Oculomotor Signatures to Differentiate AT(N) Biological Profiles

This study uses cognitive vergence and pupillary responses during a visual oddball task to differentiate AT(N) biological profiles in MCI patients.

APOE4 carriers resistant to cognitive decline show unique relationships between cerebrovascular response to exercise and dual-task cognitive-balance performance

Multidomain Analysis of Clinical Cognitive Assessments and Imaging Data in Alzheimer's Disease Accurately Predicts Disease Stage and Grade Independent of Amyloid and Tau

This study combines clinical cognitive assessments and neuro-metabolic vascular data to predict Alzheimer's disease stage and grade independently of amyloid and tau.

Linguistic and Acoustic Biomarkers from Simulated Speech Reveal Early Cognitive Impairment Patterns in Alzheimers Disease

The paper uses simulated speech data to identify linguistic and acoustic biomarkers of early cognitive impairment in Alzheimer's disease, achieving high classification accuracy.