Area of research
Psychiatry and Mental health · Physiology
Research interest
Research focused on Dementia and Neuroimaging, with related work in Alzheimer's Disease Neuroimaging Initiative, Alzheimer's disease, Cognition. Notable publications include 'Predicting Alzheimer’s disease progression using multi-modal deep learning approach', 'Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer’s Disease using structural MR and FDG-PET images', and 'Better verbal memory in women than men in MCI despite similar levels of hippocampal atrophy'.
Identifying healthy individuals with Alzheimer’s disease neuroimaging phenotypes in the UK Biobank
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
Correlation between Alzheimer’s disease and type 2 diabetes using non-negative matrix factorization
Differentiating among stages of cognitive impairment in aging: Version 3 of the Uniform Data Set (UDS) neuropsychological test battery and MoCA index scores
Cognitive Processing Speed Is Strongly Related to Driving Skills, Financial Abilities, and Other Instrumental Activities of Daily Living in Persons With Mild Cognitive Impairment and Mild Dementia
A telescope GWAS analysis strategy, based on SNPs-genes-pathways ensamble and on multivariate algorithms, to characterize late onset Alzheimer’s disease
Predicting Alzheimer’s disease progression using multi-modal deep learning approach
Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification
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
Declining Financial Capacity in Mild Cognitive Impairment: A Six-Year Longitudinal Study
Characteristic patterns of inter- and intra-hemispheric metabolic connectivity in patients with stable and progressive mild cognitive impairment and Alzheimer’s disease
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
Exploring the Factor Structure of Financial Capacity in Cognitively Normal and Impaired Older Adults
Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer’s Disease via Fusion of Clinical, Imaging and Omic Features
Mild Cognitive Impairment and Changes in Everyday Function Over Time: The Importance of Evaluating Both Speed and Accuracy
White Matter Degradation is Associated with Reduced Financial Capacity in Mild Cognitive Impairment and Alzheimer’s Disease
Financial Capacity and its Cognitive Predictors in Progressive Multiple Sclerosis
Better verbal memory in women than men in MCI despite similar levels of hippocampal atrophy
Polygenic risk of Alzheimer disease is associated with early- and late-life processes
Effect of CLU genetic variants on cerebrospinal fluid and neuroimaging markers in healthy, mild cognitive impairment and Alzheimer’s disease cohorts
Neurocognitive Predictors of Declining Financial Capacity in Persons with Mild Cognitive Impairment
The Wechsler Test of Adult Reading as a Measure of Premorbid Intelligence Following Traumatic Brain Injury
Both Financial and Cognitive Decline Predict Clinical Progression in MCI
Capacity for financial decision making in multiple sclerosis
A semi-mechanism approach based on MRI and proteomics for prediction of conversion from mild cognitive impairment to Alzheimer’s disease