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Christian F. Beckmann

Christian F. Beckmann

D-Index & Metrics

Neuroscience

D-Index
103
Citations
113807
World Ranking
674
National Ranking
17

Overview

Christian F. Beckmann is affiliated with Radboud University in the Netherlands and has a strong publication record in neuroscience and medicine. Their research focuses on cognitive neuroscience, advanced neuroimaging techniques, and mental health topics within psychiatry and neurodevelopmental disorders.

The scientist's work extensively covers the thematic areas of functional brain connectivity, autism spectrum disorder research, advanced MRI techniques, genetics related to neurodevelopmental disorders, and neural dynamics and brain function.

Several recent publications illustrate the scope of their contributions:

  • Accurate brain age prediction with lightweight deep neural networks, 2020, Medical Image Analysis
  • Where is Cingulate Cortex? A Cross-Species View, 2020, Trends in Neurosciences
  • The normative modeling framework for computational psychiatry, 2022, Nature Protocols
  • Regional, circuit and network heterogeneity of brain abnormalities in psychiatric disorders, 2023, Nature Neuroscience
  • Challenges and future directions for representations of functional brain organization, 2020, Nature Neuroscience

Beckmann frequently collaborates with several researchers, including:

  • Jan K. Buitelaar
  • André F. Marquand
  • Declan Murphy
  • Tony Charman
  • Eva Loth

The scientist's publications are often featured in the following venues:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Molecular Autism
  • European Neuropsychopharmacology
  • Translational Psychiatry
  • Biological Psychiatry

Their work spans multiple subfields, including cognitive neuroscience, radiology, nuclear medicine and imaging, experimental and cognitive psychology, genetics, and psychiatry and mental health. These interdisciplinary efforts contribute to a broad understanding of brain function and abnormalities as they relate to psychiatric disorders and developmental conditions.

Best Publications

  • Advances in functional and structural MR image analysis and implementation as FSL.

    S M Smith;M Jenkinson;M W Woolrich;M W Woolrich;C F Beckmann

  • New advances in the Clinica software platform for clinical neuroimaging studies

    Alexandre Routier;Arnaud Marcoux;Mauricio Diaz Melo;Jérémy Guillon

  • Correspondence of the brain's functional architecture during activation and rest.

    Stephen M. Smith;Peter T. Fox;Karla L. Miller;David C. Glahn

  • A multi-modal parcellation of human cerebral cortex

    Matthew F. Glasser;Timothy S. Coalson;Emma C. Robinson;Emma C. Robinson;Carl D. Hacker

  • Consistent resting-state networks across healthy subjects

    J. S. Damoiseaux;S. A. R. B. Rombouts;F. Barkhof;P. Scheltens

  • Investigations into resting-state connectivity using independent component analysis

    Christian F Beckmann;Marilena DeLuca;Joseph T Devlin;Stephen M Smith

  • An anatomically comprehensive atlas of the adult human brain transcriptome

    Michael J. Hawrylycz;Ed S. Lein;Angela L. Guillozet-Bongaarts;Elaine H. Shen

  • Toward discovery science of human brain function

    Bharat B. Biswal;Maarten Mennes;Xi Nian Zuo;Suril Gohel

  • Probabilistic independent component analysis for functional magnetic resonance imaging

    C.F. Beckmann;S.M. Smith

  • Bayesian analysis of neuroimaging data in FSL.

    Mark William Woolrich;Saâd Jbabdi;Brian Patenaude;Michael A. Chappell

  • Network modelling methods for FMRI.

    Stephen M. Smith;Karla L. Miller;Gholamreza Salimi-Khorshidi;Matthew Webster

  • Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers.

    Gholamreza Salimi-Khorshidi;Gwenaëlle Douaud;Christian F. Beckmann;Matthew F. Glasser

  • Multilevel linear modelling for FMRI group analysis using Bayesian inference.

    Mark W. Woolrich;Mark W. Woolrich;Timothy Edward John Behrens;Timothy Edward John Behrens;Christian F. Beckmann;Christian F. Beckmann;Mark Jenkinson

  • Distinct patterns of brain activity in young carriers of the APOE-epsilon4 allele.

    Nicola Filippini;Bradley J. MacIntosh;Morgan G. Hough;Guy M. Goodwin

  • General multilevel linear modeling for group analysis in FMRI.

    Christian F. Beckmann;Mark Jenkinson;Stephen M. Smith

  • ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data

    Raimon H. R. Pruim;Maarten Mennes;Daan van Rooij;Alberto Llera

  • Resting-state fMRI in the Human Connectome Project

    S M Smith;C F Beckmann;J Andersson;E J Auerbach

  • fMRI resting state networks define distinct modes of long-distance interactions in the human brain.

    M De Luca;C F Beckmann;N De Stefano;P M Matthews

  • ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging

    Ludovica Griffanti;Ludovica Griffanti;Gholamreza Salimi-Khorshidi;Christian F. Beckmann;Edward J. Auerbach

  • Reduced resting-state brain activity in the “default network” in normal aging

    J.S. Damoiseaux;C.F. Beckmann;E.J. Sanz Arigita;F. Barkhof

  • Distinct patterns of brain activity in young carriers of the APOE e4 allele

    N Filippini;BJ MacIntosh;MG Hough;GM Goodwin

Frequent Co-Authors

Jan K. Buitelaar
Jan K. Buitelaar Radboud University
Stephen M. Smith
Stephen M. Smith University of Oxford
Andre F. Marquand
Andre F. Marquand Radboud University
Maarten Mennes
Maarten Mennes Radboud University
Paul M. Matthews
Paul M. Matthews Imperial College London
Barbara Franke
Barbara Franke Radboud University
Tony Charman
Tony Charman King's College London
Mark W. Woolrich
Mark W. Woolrich University of Oxford
Eva Loth
Eva Loth King's College London
Emma Sprooten
Emma Sprooten Radboud University

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