Giovanni Battista Frisoni

Altered Hippocampal Structure-Function Coupling and Brain-Cognition Aging Profile in Mild Cognitive Impairment

This study examines hippocampal structure-function coupling and brain-cognition aging in MCI, finding altered connectivity and a decoupled aging profile.

Fingerprinting of brain disease: Connectome identifiability in cognitive decline and Alzheimer s disease

This study shows that functional connectivity patterns remain unique across stages of Alzheimer's disease but change in their configuration, suggesting potential for individualized brain fingerprinting in clinical settings.

Blood-based multivariate methylation risk score for cognitive impairment and dementia

The paper develops a multivariate methylation risk score using blood DNA methylation data to predict dementia risk and cognitive impairment in Alzheimer's and Parkinson's disease cohorts.

Genome-wide association study of Alzheimer's disease brain imaging biomarkers and neuropsychological phenotypes in the EMIF-AD Multimodal Biomarker Discovery dataset

This study performs GWAS on quantitative AD biomarkers and cognitive traits, identifying new loci associated with memory performance and cognitive decline.

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.

TMEM106B and CPOX are genetic determinants of cerebrospinal fluid Alzheimer's disease biomarker levels

The paper conducts GWAS on CSF Alzheimer's disease biomarkers, identifying genetic associations with NF-L, YKL-40, and Ng levels.

Simulating the outcome of amyloid treatments in Alzheimer's Disease from multi-modal imaging and clinical data

This study simulates amyloid treatment outcomes in Alzheimer's Disease using multi-modal imaging and clinical data to show that earlier intervention improves clinical endpoints.

Genome-wide association study of Alzheimer’s disease CSF biomarkers in the EMIF-AD Multimodal Biomarker Discovery dataset

The paper conducts a genome-wide association study (GWAS) on Alzheimer’s disease CSF biomarkers in the EMIF-AD dataset, identifying novel genetic signals and confirming existing associations.

Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer's disease

This study applies deep autoencoders to structural neuroimaging data from Alzheimer's and mild cognitive impairment patients to quantify deviations from healthy norms and compare performance with traditional classifiers.

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.

Data-driven algorithm for the diagnosis of behavioral variant frontotemporal dementia

The paper develops a random forest classifier to diagnose behavioral variant frontotemporal dementia using MRI and cognitive scores, achieving high accuracy in both training and validation cohorts.

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.

Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: applied to GENFI study

The paper detects pre-symptomatic shape changes in the thalamus using spatiotemporal analysis of MRI scans from the GENFI study, finding differences five years before symptoms appear.