Area of research
Psychiatry and Mental health · Physiology
Research interest
Research interests include Dementia and Cognitive Impairment Research, Alzheimer's disease research and treatments, Functional Brain Connectivity Studies, and Bioinformatics and Genomic Networks.
Multiomics analysis to explore blood metabolite biomarkers in an Alzheimer’s Disease Neuroimaging Initiative cohort
Identifying healthy individuals with Alzheimer’s disease neuroimaging phenotypes in the UK Biobank
Amyloid-associated increases in soluble tau relate to tau aggregation rates and cognitive decline in early Alzheimer’s disease
Dissociation of tau pathology and neuronal hypometabolism within the ATN framework of Alzheimer’s disease
A predictive model using the mesoscopic architecture of the living brain to detect Alzheimer’s disease
Dissection of the polygenic architecture of neuronal Aβ production using a large sample of individual iPSC lines derived from Alzheimer’s disease patients
KL-VS heterozygosity is associated with lower amyloid-dependent tau accumulation and memory impairment in Alzheimer’s disease
Spread of pathological tau proteins through communicating neurons in human Alzheimer’s disease
Functional brain architecture is associated with the rate of tau accumulation in Alzheimer’s disease
Women can bear a bigger burden: ante- and post-mortem evidence for reserve in the face of tau
The BIN1 rs744373 SNP is associated with increased tau-PET levels and impaired memory
Genome-wide association analysis of hippocampal volume identifies enrichment of neurogenesis-related pathways
A blood-based signature of cerebrospinal fluid Aβ1–42 status
Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer’s Disease using structural MR and FDG-PET images
Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states
Characteristic patterns of inter- and intra-hemispheric metabolic connectivity in patients with stable and progressive mild cognitive impairment and Alzheimer’s disease
Validation of olfactory deficit as a biomarker of Alzheimer disease
Robust Identification of Alzheimer’s Disease subtypes based on cortical atrophy patterns
Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer’s disease
Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer’s Disease
Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer’s Disease via Fusion of Clinical, Imaging and Omic Features
Early role of vascular dysregulation on late-onset Alzheimer’s disease based on multifactorial data-driven analysis
Basal forebrain degeneration precedes and predicts the cortical spread of Alzheimer’s pathology
Effect of CLU genetic variants on cerebrospinal fluid and neuroimaging markers in healthy, mild cognitive impairment and Alzheimer’s disease cohorts
Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits
The impact of PICALM genetic variations on reserve capacity of posterior cingulate in AD continuum
Ferritin levels in the cerebrospinal fluid predict Alzheimer’s disease outcomes and are regulated by APOE