Nick C. Fox

Unbiased data-driven analysis of five amyloid-beta peptides for biomarker investigations in familial Alzheimer's disease

The paper uses data-driven analysis of amyloid-beta peptides to identify biomarkers for familial Alzheimer's disease and predict age-at-onset in PSEN1 mutation carriers.

Network-based amyloid-beta pathology predicts subsequent cognitive decline in cognitively normal older adults

This study uses machine learning to show that integrating brain connectome data with amyloid-beta PET imaging improves prediction of cognitive decline in older adults.

Independent Generation of Amyloid-β via Novel APP Transcripts

The paper identifies novel APP transcripts that generate Aβ independently of β-secretase, showing their expression and presence in CSF.

Spectrum of gamma-Secretase dysfunction as a unifying predictor of ADAD age at onset across PSEN1, PSEN2 and APP causal genes

The paper examines the relationship between Aβ peptide profiles and age at symptom onset in ADAD, finding linear correlations that support a unified model of pathogenesis.

Exome analysis of 22,319 individuals links extremely rare CNVs and 22q11.21 dosage to Alzheimer's risk

The paper analyzes exome data from 22,319 individuals to identify rare CNVs and 22q11.21 dosage as risk factors for Alzheimer's disease.

Neuroimaging and plasma marker evidence for white matter macrostructure loss in Parkinsons disease

The paper shows that white matter macrostructure loss and elevated plasma neurofilament light chain levels are associated with poor outcomes in Parkinson's disease.

Domain mapping of disease mutations supports genetic testing of specific SORL1 variants in Alzheimer's Disease

The paper identifies high-priority missense variants in SORL1 associated with increased Alzheimer's Disease risk and earlier onset, suggesting clinical counseling considerations for carriers.

Exome sequencing identifies rare damaging variants in ATP8B4 and ABCA1 as novel risk factors for Alzheimers Disease

The paper identifies rare damaging variants in ATP8B4 and ABCA1 as novel risk factors for Alzheimer's Disease using exome sequencing data from 32,558 individuals.

Neuroimaging within the Dominantly Inherited Alzheimer's Network (DIAN): PET and MRI

The paper describes MRI and PET protocols used in the DIAN study to investigate preclinical Alzheimer's disease and reports key imaging findings.

The European Prevention of Alzheimer's Dementia (EPAD) MRI Dataset and Processing Workflow

The paper describes an MRI dataset and processing pipeline for the EPAD study, identifying quality control features and image-derived phenotypes related to aging and dementia.

Plasma amyloid beta ratios in autosomal dominant Alzheimers disease: the influence of genotype

The paper analyzes plasma A{beta} ratios in ADAD mutation carriers and non-carriers, finding significant differences between PSEN1 and APP carriers and associations with parental age at onset.

Molecular and cellular pathology of monogenic Alzheimer's disease at single cell resolution

The paper constructs a single-cell atlas of the frontal cortex in early-onset monogenic Alzheimer's disease to identify cellular and molecular changes in disease mechanisms.

Spread of pathological tau proteins through communicating neurons in human Alzheimer’s disease

This study uses an epidemic spreading model to show that tau spreads through neuronal connections in Alzheimer's disease, with beta-amyloid accelerating this process in some brain regions.

The Dementias Platform UK (DPUK) Data Portal

The DPUK Data Portal provides secure access to cohort data for dementia research, supporting multi-modal analyses and collaborations across multiple institutions.

Analysis of brain atrophy and local gene expression in genetic frontotemporal dementia

The paper investigates the relationship between gene expression and brain atrophy in genetic frontotemporal dementia, finding correlations between atrophy patterns and specific gene sets related to vascular, glial, and neuronal functions.

Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification

This study compares whole hippocampus and subfield biomarkers for Alzheimer’s disease detection and prediction using multimodal MRI data, finding subiculum biomarkers improve prediction accuracy.

Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference

This paper introduces SuStaIn, a machine learning method that identifies disease subtypes and their temporal progression from cross-sectional data, improving prediction of diagnostic conversion in neurodegenerative diseases.

Heritability of regional brain volumes in large-scale neuroimaging and genetic studies

The paper examines the heritability of regional brain volumes using genetic and neuroimaging data from multiple cohorts, finding high heritability and consistent patterns across populations.

Analysis of shared heritability in common disorders of the brain

Genetic correlations across 25 brain disorders (215,683 cases) reveal broad psychiatric common-variant sharing, largely distinct neurological disorders, and migraine as the only significant cross-category link.

Meta-analysis of genetic association with diagnosed Alzheimer’s disease identifies novel risk loci and implicates Abeta, Tau, immunity and lipid processing

This study performs a large GWAS of Alzheimer's disease, identifies four new risk loci, and highlights pathways involving immunity, lipid metabolism, and APP/Aβ processing.

Data-driven models of dominantly-inherited Alzheimer’s disease progression

This paper develops data-driven models to predict Alzheimer’s disease progression in dominantly-inherited cases, showing improved accuracy over traditional estimates of years until onset.

Improving data availability for brain image biobanking in healthy subjects: practice-based suggestions from an international multidisciplinary working group

The paper provides practical recommendations for improving data availability and sharing in brain image biobanking to enhance research and clinical applications.