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Dominik Grotegerd

Dominik Grotegerd

D-Index & Metrics

Neuroscience

D-Index
66
Citations
17655
World Ranking
2987
National Ranking
257

Overview

Dominik Grotegerd is affiliated with the University of Münster in Germany and has a substantial research profile centered on medicine, neuroscience, and psychology. Their work spans several subfields, including cognitive neuroscience, psychiatry and mental health, radiology and imaging, clinical psychology, and experimental and cognitive psychology.

The main topics of Dominik Grotegerd's research focus on functional brain connectivity studies, advanced neuroimaging techniques and applications, and mental health research topics. Additional research interests include bipolar disorder and its treatment, schizophrenia research and treatment, health, environment, and cognitive aging, as well as issues related to child abuse and trauma.

They have coauthored extensively with several frequent collaborators, including:

  • Udo Dannlowski
  • Tilo Kircher
  • Susanne Meinert
  • Igor Nenadić
  • Frederike Stein

Dominik Grotegerd's recent notable publications include:

  • "The genetic architecture of the human cerebral cortex," 2020, Science
  • "Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group," 2020, Molecular Psychiatry
  • "Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years," 2021, Human Brain Mapping
  • "Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA," 2020, NeuroImage
  • "Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders," 2020, JAMA Psychiatry

The frequent venues for their publications include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Molecular Psychiatry
  • Human Brain Mapping
  • Biological Psychiatry
  • Psychological Medicine

Dominik Grotegerd's body of work encompasses a comprehensive integration of clinical and experimental approaches to studying the brain and mental health. Their contributions to understanding psychiatric disorders through neuroimaging and genetic perspectives are reflected across multiple high-impact journals and collaborative research projects.

Best Publications

  • Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group.

    L Schmaal;D P Hibar;P G Sämann;G B Hall

  • Subcortical brain alterations in major depressive disorder : findings from the ENIGMA Major Depressive Disorder working group

    Tiffany C. Ho;Boris Gutman;Elena Pozzi;Hans J. Grabe

  • Limbic Scars: Long-Term Consequences of Childhood Maltreatment Revealed by Functional and Structural Magnetic Resonance Imaging

    Udo Dannlowski;Anja Stuhrmann;Victoria Beutelmann;Peter Zwanzger

  • The genetic architecture of the human cerebral cortex

    Katrina L. Grasby;Neda Jahanshad;Jodie N. Painter;Lucía Colodro-Conde

  • Cortical abnormalities in bipolar disorder : An MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group

    D P Hibar;L T Westlye;L T Westlye;N T Doan;N T Doan;N Jahanshad

  • White matter disturbances in major depressive disorder: a coordinated analysis across 20 international cohorts in the ENIGMA MDD working group

    Laura S. van Velzen;Sinead Kelly;Sinead Kelly;Dmitry Isaev;Andre Aleman

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

    Laura K.M. Han;Richard Dinga;Richard Dinga;Tim Hahn;Christopher R.K. Ching

  • Brain morphometric biomarkers distinguishing unipolar and bipolar depression. A voxel-based morphometry-pattern classification approach.

    Ronny Redlich;Jorge J. R. Almeida;Dominik Grotegerd;Nils Opel

  • Childhood maltreatment is associated with an automatic negative emotion processing bias in the amygdala.

    Udo Dannlowski;Udo Dannlowski;Harald Kugel;Franziska Huber;Anja Stuhrmann

  • Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years

    Sophia Frangou;Amirhossein Modabbernia;Steven C. R. Williams;Efstathios Papachristou

  • Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data

    Ronny Redlich;Nils Opel;Dominik Grotegerd;Katharina Dohm

  • Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA.

    Joaquim Radua;Eduard Vieta;Russell Shinohara;Peter Kochunov

  • Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders

    Yash Patel;Nadine Parker;Jean Shin;Derek Howard

  • Hippocampal atrophy in major depression: a function of childhood maltreatment rather than diagnosis?

    Nils Opel;Ronny Redlich;Peter Zwanzger;Dominik Grotegerd

  • Human subcortical brain asymmetries in 15,847 people worldwide reveal effects of age and sex

    Tulio Guadalupe;Samuel R. Mathias;Theo G.M. vanErp;Christopher D. Whelan;Christopher D. Whelan

  • Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals

    Pauline Favre;Pauline Favre;Melissa Pauling;Melissa Pauling;Jacques Stout;Franz Hozer

  • ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing

    Lianne Schmaal;Elena Pozzi;Tiffany C Ho;Tiffany C Ho;Laura S van Velzen

  • Quantifying Deviations of Brain Structure and Function in Major Depressive Disorder Across Neuroimaging Modalities.

    Unknown

  • Obesity and major depression: Body-mass index (BMI) is associated with a severe course of disease and specific neurostructural alterations.

    Nils Opel;Ronny Redlich;Dominik Grotegerd;Katharina Dohm

  • Reward Processing in Unipolar and Bipolar Depression: A Functional MRI Study.

    Ronny Redlich;Katharina Dohm;Dominik Grotegerd;Nils Opel

  • Using structural MRI to identify bipolar disorders – 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group

    Abraham Nunes;Hugo G. Schnack;Christopher R.K. Ching;Christopher R.K. Ching;Ingrid Agartz

Frequent Co-Authors

Udo Dannlowski
Udo Dannlowski University of Münster
Bernhard T. Baune
Bernhard T. Baune University of Münster
Ronny Redlich
Ronny Redlich University of Münster
Tilo Kircher
Tilo Kircher Philipp University of Marburg
Axel Krug
Axel Krug Philipp University of Marburg
Igor Nenadic
Igor Nenadic Philipp University of Marburg
Paul M. Thompson
Paul M. Thompson University of Southern California
Jonathan Repple
Jonathan Repple University Hospital Frankfurt
Neda Jahanshad
Neda Jahanshad University of Southern California
Lianne Schmaal
Lianne Schmaal University of Melbourne

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