Publications

Machine Learning

Boosting Subspace Co-Clustering via Bilateral Graph Convolution

Subspace clustering seeks to cluster high-dimensional data lying in a union of low-dimensional subspaces. It has achieved state-of-the-art results in image clustering, but text clustering of document-term matrices, has proved more impervious to…

Chakib Fettal, Lazhar Labiod, Mohamed Nadif

IEEE Transactions on Knowledge and Data Engineering - 2024

Machine Learning

More Discriminative Sentence Embeddings via Semantic Graph Smoothing

This paper explores an empirical approach to learn more discriminantive sentence representations in an unsupervised fashion. Leveraging semantic graph smoothing, we enhance sentence embeddings obtained from pretrained models to improve results for…

Chakib Fettal, Lazhar Labiod, Mohamed Nadif

18th Conference of the European Chapter of the Association for Computational Linguistics - 2024

Cognitive science

The bidirectional effects between cognitive ability and brain morphology: A life course Mendelian randomization analysis

Abstract Introduction Little is understood about the dynamic interplay between brain morphology and cognitive ability across the life course. Additionally, most existing research has focused on global morphology measures such as estimated total…

Roxanna Korologou-Linden, Isabel Schuurmans, Charlotte Cecil, Tonya White, Tobias Banaschewski, Arun Bokde, Sylvane Desrivières, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Nathalie Holz, Juliane Fröhner, M Smolka, Henrik Walter, Jeanne Winterer, Robert Whelan, Gunter Schumann, Laura Howe, Yoav Ben-Shlomo, Neil Davies, Emma Anderson

Life Sciences

Structural neurodevelopment at the individual level - a life-course investigation using ABCD, IMAGEN and UK Biobank data

Abstract Adolescents exhibit remarkable heterogeneity in the structural architecture of brain development. However, due to the lack of large-scale longitudinal neuroimaging studies, existing research has largely focused on population averages and…

Runye Shi, Shitong Xiang, Tianye Jia, Trevor Robbins, Jujiao Kang, Tobias Banaschewski, Gareth Barker, Arun Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Sarah Hohmann, Sabina Millenet, Juliane Fröhner, Michael Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Xiaolei Lin, Barbara Sahakian, Jianfeng Feng, Arun L.W. Bokde

Life Sciences

The relationship between negative life events and cortical structural connectivity in adolescents

Adolescence is a crucial period for physical and psychological development. The impact of negative life events represents a risk factor for the onset of neuropsychiatric disorders. This study aims to investigate the relationship between negative…

Francesca Sibilia, Coline Jost-Mousseau, Tobias Banaschewski, Gareth Barker, Christian Büchel, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Sabina Millenet, Juliane Fröhner, Michael Smolka, Henrik Walter, Robert Whelan, Gunter Schumann, Arun L.W. Bokde

IBRO Neuroscience Reports - 2024

Life Sciences

Machine learning models for diagnosis and risk prediction in eating disorders, depression, and alcohol use disorder

Abstract This study uses machine learning models to uncover diagnostic and risk prediction markers for eating disorders (EDs), major depressive disorder (MDD), and alcohol use disorder (AUD). Utilizing case-control samples (ages 18-25 years) and a…

Sylvane Desrivières, Zuo Zhang, Lauren Robinson, Robert Whelan, Lee Jollans, Zijian Wang, Frauke Nees, Congying Chu, Marina Bobou, Dongping Du, Ilinca Cristea, Tobias Banaschewski, Gareth Barker, Arun Bokde, Antoine Grigis, Hugh Garavan, Andreas Heinz, Rudiger Bruhl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Dimitri Papadopoulos Orfanos, Luise Poustka, Sarah Hohmann, Sabina Millenet, Juliane Fröhner, Michael Smolka, Nilakshi Vaidya, Henrik Walter, Jeanne Winterer, M. Broulidakis, Betteke van Noort, Argyris Stringaris, Jani Penttilä, Yvonne Grimmer, Corinna Insensee, Andreas Becker, Yuning Zhang, Sinead King, Julia Sinclair, Gunter Schumann, Ulrike Schmidt, Dimitri Papadopoulos Orfanos, Betteke van Noort

Research Square - Preprint - 2024

Life Sciences

Adolescents’ pain-related ontogeny shares a neural basis with adults’ chronic pain in basothalamo-cortical organization

During late adolescence, the brain undergoes ontogenic organization altering subcortical-cortical circuitry. This includes regions implicated in pain chronicity, and thus alterations in the adolescent ontogenic organization could predispose to pain…

Nils Jannik Heukamp, Tobias Banaschewski, Arun Bokde, Sylvane Desrivières, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Mina Kandić, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Dimitri Papadopoulos Orfanos, Herve Lemaitre, Martin Löffler, Luise Poustka, Sarah Hohmann, Sabina Millenet, Juliane Fröhner, Michael Smolka, Katrin Usai, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Herta Flor, Frauke Nees, Arun L.W. Bokde

iScience - 2024

Computer Science

Modèles graphiques causaux interactifs pour les données textuelles

Nous proposons de reconstruire des modèles graphiques causaux à partir de données textuelles via un nouveau package Python appelé WordGraph. Ce package facilite l'exploration de grands corpus de documents par des visualisations interactives sous…

Amine Ferdjaoui, Séverine Affeldt, Mohamed Nadif

24ème conférence francophone sur l'Extraction et la Gestion des Connaissances - 2024

Life Sciences

Population clustering of structural brain aging and its association with brain development

Abstract Structural brain aging has demonstrated strong inter-individual heterogeneity and mirroring patterns with brain development. However, due to the lack of large-scale longitudinal neuroimaging studies, most of the existing research focused on…

Haojing Duan, Runye Shi, Jujiao Kang, Tobias Banaschewski, Arun Bokde, Christian Büchel, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Sarah Hohmann, Nathalie Holz, Juliane Fröhner, Michael Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Xiaolei Lin, Jianfeng Feng, Dimitri Papadopoulos Orfanos

Life Sciences

The genetic architecture of the human hypothalamus and its involvement in neuropsychiatric behaviours and disorders

Despite its crucial role in the regulation of vital metabolic and neurological functions, the genetic architecture of the hypothalamus remains unknown. Here we conducted multivariate genome-wide association studies (GWAS) using hypothalamic imaging…

Shi-Dong Chen, Jia You, Wei Zhang, Bang-Sheng Wu, Yi-Jun Ge, Shi-Tong Xiang, Jing Du, Kevin Kuo, Tobias Banaschewski, Gareth Barker, Arun Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Herve Lemaitre, Tomáš Paus, Luise Poustka, Sarah Hohmann, Sabina Millenet, Christian Baeuchl, Michael Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Jian-Feng Feng, Qiang Dong, Wei Cheng, Jin-Tai Yu

Nature Human Behaviour - 2024