Olivier Colliot
University of Paris
Machine learningSupport vector machineInternal medicinePathologyMagnetic resonance imagingArtificial intelligencePsychologyNeurosciencePattern recognitionDiseaseDementiaAtrophyPopulationMathematicsComputer scienceNeuroimagingMedicine
278Publications
41H-index
8,781Citations
Publications 184
Newest
#1Dario SaracinoH-Index: 8
Last. Agnès CamuzatH-Index: 44
view all 65 authors...
C9orf72 repeat expansions are rarely associated with primary progressive aphasias (PPA). In-depth characterization of the linguistic deficits, and the underlying patterns of grey-matter atrophy in PPA associated with the C9orf72 expansions (PPA-C9orf72) are currently lacking. In this study, we comprehensively analyzed a unique series of 16 patients affected by PPA-C9orf72. Eleven patients were issued from two independent French and Finnish cohorts, and five were identified by means of literature...
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Gaussian Graphical Models (GGM) are often used to describe the conditional correlations between the components of a random vector. In this article, we compare two families of GGM inference methods: nodewise edge selection and penalised likelihood maximisation. We demonstrate on synthetic data that, when the sample size is small, the two methods produce graphs with either too few or too many edges when compared to the real one. As a result, we propose a composite procedure that explores a family ...
2 CitationsSource
We present Clinica (www.clinica.run), an open-source software platform designed to make clinical neuroscience studies easier and more reproducible. Clinica aims for researchers to i) spend less time on data management and processing, ii) perform reproducible evaluations of their methods, and iii) easily share data and results within their institution and with external collaborators. The core of Clinica is a set of automatic pipelines for processing and analysis of multimodal neuroimaging data (c...
3 CitationsSource
#1Dario Saracino (University of Paris)H-Index: 8
#2Karim Dorgham (University of Paris)H-Index: 22
Last. Carole Azuar (University of Paris)H-Index: 7
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Objective Neurofilament light chain (NfL) is a promising biomarker in genetic frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS). We evaluated plasma neurofilament light chain (pNfL) levels in controls, and their longitudinal trajectories in C9orf72 and GRN cohorts from presymptomatic to clinical stages. Methods We analysed pNfL using Single Molecule Array (SiMoA) in 668 samples (352 baseline and 316 follow-up) of C9orf72 and GRN patients, presymptomatic carriers (PS) and cont...
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This paper introduces a framework for disease prediction null from multimodal genetic and imaging data. We null propose a multilevel survival model which allows null predicting the time of occurrence of a future disease state in patients initially exhibitingmild symptoms. This new multilevel setting allows modeling the interactions null between genetic and imaging variables. This null is null incontrast with classical additive models which treat all modalities in the same manner and can result i...
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We present Clinica (www.clinica.run), an open-source software platform designed to make clinical neuroscience studies easier and more reproducible. Clinica aims for researchers to i) spend less time on data management and processing, ii) perform reproducible evaluations of their methods, and iii) easily share data and results within their institution and with external collaborators. The core of Clinica is a set of automatic pipelines for processing and analysis of multimodal neuroimaging data (c...
1 Citations
#1Dario Saracino (Allen Institute for Brain Science)H-Index: 8
#2Sophie FerrieuxH-Index: 8
Last. Ftd-AlsH-Index: 2
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Objective. To determine relative frequencies and linguistic profiles of primary progressive aphasia (PPA) variants associated with progranulin (GRN) mutations, and study their neuroanatomical correlates. Methods. PPA patients carrying GRN mutations (PPA-GRN) were selected amongst a national prospective research cohort of 1,696 frontotemporal dementia (FTD) patients, including 235 patients with PPA. All PPA patients with amyloid-positive CSF biomarkers were excluded. In this cross-sectional study...
2 CitationsSource
#1Virgilio Kmetzsch (University of Paris)H-Index: 1
#2Vincent Anquetil (University of Paris)H-Index: 5
Last. Emmanuelle Becker (University of Rennes)H-Index: 13
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Objective To identify potential biomarkers of preclinical and clinical progression in chromosome 9 open reading frame 72 gene (C9orf72)-associated disease by assessing the expression levels of plasma microRNAs (miRNAs) in C9orf72 patients and presymptomatic carriers. Methods The PREV-DEMALS study is a prospective study including 22 C9orf72 patients, 45 presymptomatic C9orf72 mutation carriers and 43 controls. We assessed the expression levels of 2576 miRNAs, among which 589 were above noise leve...
4 CitationsSource
Abstract Objective To study the association between impulse control disorders (ICDs) in Parkinson’s disease (PD) and genetic risk scores (GRS) for 40 known or putative risk factors (e.g. depression, personality traits). Background In absence of published genome-wide association studies (GWAS), little is known about the genetics of ICDs in PD. GRS of related phenotypes, for which large GWAS are available, may help shed light on the genetic contributors of ICDs in PD. Methods We searched for GWAS ...
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#1Simona BottaniH-Index: 6
#2Ninon BurgosH-Index: 15
Last. Olivier ColliotH-Index: 41
view all 7 authors...
Many studies on machine learning (ML) for computer-aided diagnosis have so far been mostly restricted to high-quality research data. Clinical data warehouses, gathering routine examinations from hospitals, offer great promises for training and validation of ML models in a realistic setting. However, the use of such clinical data warehouses requires quality control (QC) tools. Visual QC by experts is time-consuming and does not scale to large datasets. In this paper, we propose a convolutional ne...