Publications associées à Fingerprints of brain disease: connectome identifiability in Alzheimer’s disease

Publications associées (12)

Learning the language of the genome: AI- and data-driven decoding of genetic variants and disease mechanisms

Genetic variation plays a crucial role in human disease susceptibility and molecular pathophysiology. This thesis explores genetic determinants of disease using advanced computational approaches, including statistical modeling, network analysis, and deep l ...

EPFL2025

Allosteric Modulation of GCase Enhances Lysosomal Activity and Reduces ER Stress in GCase-Related Disorders

Mikhail Rudinskiy, Maurizio Molinari

Variants in the GBA1 gene, encoding the lysosomal enzyme glucosylceramidase beta 1 (GCase), are linked to Parkinson’s disease (PD) and Gaucher disease (GD). Heterozygous variants increase PD risk, while homozygous variants lead to GD, a lysosomal storage d ...

MDPI AG2025

Ensemble learning and ground-truth validation of synaptic connectivity inferred from spike trains

Guillaume Romain Obozinski

Probing the architecture of neuronal circuits and the principles that underlie their functional organization remains an important challenge of modern neurosciences. This holds true, in particular, for the inference of neuronal connectivity from large-scale ...

San Francisco2024

Safety and feasibility of home-based transcranial alternating current stimulation in youths with 22q11.2 deletion syndrome

Silas Forrer

Neurodevelopmental disorders such as attention deficit and/or hyperactivity disorder (ADHD) and schizophrenia are characterized by core impairment in executive functions (EF). Despite the development of various behavioral interventions to enhance EF, the e ...

FRONTIERS MEDIA SA2024

Bridging structural MRI with cognitive function for individual level classification of early psychosis via deep learning

Lijing Xin

IntroductionRecent efforts have been made to apply machine learning and deep learning approaches to the automated classification of schizophrenia using structural magnetic resonance imaging (sMRI) at the individual level. However, these approaches are less ...

FRONTIERS MEDIA SA2023

Evidence for increased parallel information transmission in human brain networks compared to macaques and male mice

Dimitri Nestor Alice Van De Ville, Alessandra Griffa, Enrico Amico

Brain communication, defined as information transmission through white-matter connections, is at the foundation of the brain's computational capacities that subtend almost all aspects of behavior: from sensory perception shared across mammalian species, to ...

Nature Portfolio2023

Towards Win-Win Policies for Healthy and Sustainable Diets in Switzerland

Arnaud Dauriat, Suren Erkman

The first Swiss national dietary survey (MenuCH) was used to screen disease burdens and greenhouse gas emissions (GHG) of Swiss diets (vegan, vegetarian, gluten-free, slimming), with a focus on gender and education level. The Health Nutritional Index (HENI ...

MDPI2020

CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis

Reto Meuli, Tobias Kober, Meritxell Bach Cuadra, Cristina Granziera, Jonas Richiardi, Francesco La Rosa, João Pedro Forjaco Jorge

The central vein sign (CVS) is an efficient imaging biomarker for multiple sclerosis (MS) diagnosis, but its application in clinical routine is limited by inter-rater variability and the expenditure of time associated with manual assessment. We describe a ...

2020

A challenge of predicting seizure frequency in temporal lobe epilepsy using neuroanatomical features

Chang-Hyun Park

The pathological and clinical characteristics of temporal lobe epilepsy (TLE) tend to be affected by epileptic seizures, specifically represented by seizure lateralization and frequency. Although the lateralization of the epileptogenic zone can be clarifie ...

ELSEVIER IRELAND LTD2019

A model for brain life history evolution

Timm Faulwasser

Complex cognition and relatively large brains are distributed across various taxa, and many primarily verbal hypotheses exist to explain such diversity. Yet, mathematical approaches formalizing verbal hypotheses would help deepen the understanding of brain ...

Public Library Science2017

Proton and phosphorus MRS of a 5xFAD mouse model of Alzheimer's disease

Rolf Gruetter, Patrick Aebischer, Hongxia Lei, Bernard Schneider, Sharon Janssens, Lili Sun-Reimer

2011

RETRACTED: Marker-independent identification of glioma-initiating cells

Rolf Gruetter, Cristina Ramona Cudalbu Moldovan

Tumor-initiating cells with stem cell properties are believed to sustain the growth of gliomas, but proposed markers such as CD133 cannot be used to identify these cells with sufficient specificity. We report an alternative isolation method purely based on ...

Nature Publishing Group2010