Lianne Schmaal

发表

Editorial: Collaborative Efforts for Understanding the Human Brain

Sook-Lei Liew, Neda Jahanshad, Lianne Schmaal, 2019, Front. Neuroinform..

Deep Learning for Quality Control of Subcortical Brain 3D Shape Models

Lei Wang, Jessica A. Turner, Lars T. Westlye, 2018 .

Large-scale classification of major depressive disorder via distributed Lasso

Paul M. Thompson, Qingyang Li, Jieping Ye, 2017, Symposium on Medical Information Processing and Analysis.

Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model pdf

Dan J. Stein, Paul M. Thompson, Dajiang Zhu, 2017, MICCAI.

Predicting individual clinical trajectories of depression with generative embedding

Dario Schöbi, Klaas E. Stephan, Dick J. Veltman, 2020, NeuroImage: Clinical.

Deep Learning for Quality Control of Subcortical Brain 3D Shape Models

Paul M. Thompson, Theo G. M. van Erp, Jessica A. Turner, 2018, bioRxiv.

Heritability and reliability of automatically segmented human hippocampal formation subregions

Paul M. Thompson, Theo G. M. van Erp, Katie L. McMahon, 2015, NeuroImage.

Controlling for effects of confounding variables on machine learning predictions

Dick J. Veltman, Andre F. Marquand, Lianne Schmaal, 2020, bioRxiv.

Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging

Jessica A. Turner, Lars T. Westlye, Li Shen, 2017 .

Functional connectivity analysis of resting-state fMRI networks in nicotine dependent patients

Olmo Zavala-Romero, Anke Meyer-Bäse, Lianne Schmaal, 2016, SPIE Medical Imaging.

Predicting alcohol dependence from multi-site brain structural measures.

Henrik Walter, Andreas Heinz, Reza Momenan, 2020, Human brain mapping.

An evolutionary approach for fMRI big data classification

Amir H. Gandomi, Ian McCann, Amirhessam Tahmassebi, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

An Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Group

Dan J. Stein, Paul M. Thompson, Patricia Gruner, 2019, Front. Neuroinform..

Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging

Paul M. Thompson, Theo G. M. van Erp, Jessica A. Turner, 2017, bioRxiv.

Mega-Analysis of Gray Matter Volume in Substance Dependence: General and Substance-Specific Regional Effects.

Kent Hutchison, Godfrey Pearlson, Alain Dagher, 2019, The American journal of psychiatry.

758. Harmonized Large-Scale Anatomical Shape Analysis: Mapping Subcortical Differences across the Enigma Bipolar, Schizophrenia, and Major Depression Working Groups

Lianne Schmaal, Boris Gutman, Jessica Turner, 2017, Biological Psychiatry.

Genetic architecture of subcortical brain structures in 38,851 individuals

Benjamin S Aribisala, Tien Yin Wong, Wiro J Niessen, 2019, Nature Genetics.

N-Acetylcysteine Normalizes Glutamate Levels in Cocaine-Dependent Patients: A Randomized Crossover Magnetic Resonance Spectroscopy Study

Lianne Schmaal, Wim van den Brink, Dick J Veltman, 2012, Neuropsychopharmacology.

The genetic architecture of the human cerebral cortex

Anders M. Dale, Robert C. Green, Shannon L. Risacher, 2020, Science.

Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group

Olaf Steinsträter, Tilo Kircher, Axel Krug, 2019, bioRxiv.

Subcortical surface morphometry in substance dependence: An ENIGMA addiction working group study

Kent Hutchison, Godfrey Pearlson, Alain Dagher, 2019, Addiction biology.

An overview of the first 5 years of the ENIGMA obsessive–compulsive disorder working group: The power of worldwide collaboration

Susanne Walitza, Patricia Gruner, Neda Jahanshad, 2020, Human brain mapping.

Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia

Vincent Frouin, Norman Delanty, Katrin Amunts, 2018, Molecular Psychiatry.

Distinct Subcortical Volume Alterations in Pediatric and Adult OCD: A Worldwide Meta- and Mega-Analysis.

Silvia Brem, Susanne Walitza, Patricia Gruner, 2017, The American journal of psychiatry.

Efficacy of N-Acetylcysteine in the Treatment of Nicotine Dependence: A Double-Blind Placebo-Controlled Pilot Study

Reinout W. Wiers, Lianne Schmaal, Wim van den Brink, 2011, European Addiction Research.

Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium

Adrian Preda, Peter Kochunov, Elliot Hong, 2018, Biological Psychiatry.

Novel genetic loci associated with hippocampal volume

Benjamin S Aribisala, Wiro J Niessen, Peter Kochunov, 2017, Nature Communications.

Predicting individual clinical trajectories of depression with generative embedding

Dario Schöbi, Klaas E. Stephan, Dick J. Veltman, 2019, NeuroImage: Clinical.

Predicting the Naturalistic Course of Major Depressive Disorder Using Clinical and Multimodal Neuroimaging Information: A Multivariate Pattern Recognition Study

Dick J. Veltman, Andre F. Marquand, Lianne Schmaal, 2015, Biological Psychiatry.

Novel genetic loci underlying human intracranial volume identified through genome-wide association

Benjamin S Aribisala, Wiro J Niessen, Peter Kochunov, 2016, Nature Neuroscience.

The genetic architecture of the human cerebral cortex

Anders M. Dale, Robert C. Green, Shannon L. Risacher, 2020, Science.

Evaluating the evidence for biotypes of depression: attempted replication of Drysdale et.al. 2017

Dick J. Veltman, Richard Dinga, Lianne Schmaal, 2018, bioRxiv.

Cortical Abnormalities Associated With Pediatric and Adult Obsessive-Compulsive Disorder: Findings From the ENIGMA Obsessive-Compulsive Disorder Working Group.

Silvia Brem, Susanne Walitza, Patricia Gruner, 2017, The American journal of psychiatry.

Genetic Determinants of Cortical Structure (Thickness, Surface Area and Volumes) among Disease Free Adults in the CHARGE Consortium

Anders M. Dale, Robert C. Green, Shannon L. Risacher, 2018, bioRxiv.

Individual deviations from normative models of brain structure in a large cross-sectional schizophrenia cohort

Jinglei Lv, Fernando Calamante, Andrew Zalesky, 2020, bioRxiv.

Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach

Robert A. Schoevers, Dick J. Veltman, Andre F. Marquand, 2018, European Neuropsychopharmacology.

Cortical Thickness Trajectories across the Lifespan: Data from 17,075 healthy individuals aged 3-90 years

Yang Wang, Patricia Gruner, Won Hee Lee, 2020, bioRxiv.

Subcortical Volume Trajectories across the Lifespan: Data from 18,605 healthy individuals aged 3-90 years

Yang Wang, Patricia Gruner, Won Hee Lee, 2020, bioRxiv.

Genetic Architecture of Subcortical Brain Structures in Over 40,000 Individuals Worldwide

Michael W. Weiner, Anders M. Dale, Robert C. Green, 2017, bioRxiv.