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Neuroscience

D-Index
68
Citations
29144
World Ranking
2699
National Ranking
64

Overview

Patric Hagmann is a researcher affiliated with the University of Lausanne in Switzerland. Their work prominently spans the fields of Medicine and Neuroscience, with a substantial focus on Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. Additional areas of study include Neurology, Pediatrics, Perinatology and Child Health, and Experimental and Cognitive Psychology.

The main themes in Hagmann's research concentrate on Functional Brain Connectivity Studies and Advanced Neuroimaging Techniques and Applications, including Advanced MRI Techniques. Their work also covers Neural dynamics and brain function, EEG and Brain-Computer Interfaces, and Mental Health Research Topics, as well as Neuroscience and Neuropharmacology Research.

Hagmann has contributed to several recent publications in prominent scientific journals. Notable papers include:

  • "Geometric renormalization unravels self-similarity of the multiscale human connectome," 2020, Proceedings of the National Academy of Sciences
  • "Signal propagation via cortical hierarchies," 2020, Network Neuroscience
  • "A brain atlas of axonal and synaptic delays based on modelling of cortico-cortical evoked potentials," 2021, Brain
  • "Connectome spectral analysis to track EEG task dynamics on a subsecond scale," 2020, NeuroImage
  • "Multiscale communication in cortico-cortical networks," 2021, NeuroImage

Frequent coauthors in Hagmann's research include Yasser Alemán-Gómez, Sébastien Tourbier, Meritxell Bach Cuadra, Philippe Conus, and Paul Klauser.

The researcher frequently publishes in venues such as Zenodo (CERN European Organization for Nuclear Research), bioRxiv (Cold Spring Harbor Laboratory), Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition, NeuroImage Clinical, and Network Neuroscience.

Best Publications

  • Mapping the Structural Core of Human Cerebral Cortex

    Patric Hagmann;Leila Cammoun;Xavier Gigandet;Reto Meuli

  • Predicting human resting-state functional connectivity from structural connectivity

    Ch. Honey;O. Sporns;Leila Cammoun;Xavier Gigandet

  • Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging.

    Van J. Wedeen;Patric Hagmann;Patric Hagmann;Wen-Yih Isaac Tseng;Timothy G. Reese

  • Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers

    V.J. Wedeen;R.P. Wang;J.D. Schmahmann;T. Benner

  • Understanding Diffusion MR Imaging Techniques: From Scalar Diffusion-weighted Imaging to Diffusion Tensor Imaging and Beyond

    Patric Hagmann;Lisa Jonasson;Philippe Maeder;Jean-Philippe Thiran

  • Mapping human whole-brain structural networks with diffusion MRI.

    Patric Hagmann;Patric Hagmann;Maciej Kurant;Xavier Gigandet;Patrick Thiran

  • White matter maturation reshapes structural connectivity in the late developing human brain

    P. Hagmann;O. Sporns;N. Madan;L. Cammoun

  • Modeling the impact of lesions in the human brain.

    Jeffrey Alstott;Michael Breakspear;Patric Hagmann;Patric Hagmann;Leila Cammoun;Leila Cammoun

  • Resting-brain functional connectivity predicted by analytic measures of network communication

    Joaquin Goni;Martijn P. Van Den Heuvel;Andrea Avena-Koenigsberger;Nieves Velez De Mendizabal

  • Resting-State Functional Connectivity Emerges from Structurally and Dynamically Shaped Slow Linear Fluctuations

    Gustavo Deco;Adrián Ponce-Alvarez;Dante Mantini;Dante Mantini;Gian Luca Romani

  • The Geometric Structure of the Brain Fiber Pathways

    Van J. Wedeen;Douglas L. Rosene;Ruopeng Wang;Guangping Dai

  • Mapping the human connectome at multiple scales with diffusion spectrum MRI.

    Leila Cammoun;Xavier Gigandet;Djalel Eddine Meskaldji;Jean-Philippe Thiran

  • Gradients of structure-function tethering across neocortex.

    Bertha Vázquez-Rodríguez;Laura E. Suárez;Ross D. Markello;Golia Shafiei

  • DTI mapping of human brain connectivity: statistical fibre tracking and virtual dissection.

    Patric Hagmann;Jean-Philippe Thiran;Lisa Jonasson;Pierre Vandergheynst

  • How Local Excitation-Inhibition Ratio Impacts the Whole Brain Dynamics

    Gustavo Deco;Adrián Ponce-Alvarez;Patric Hagmann;Patric Hagmann;Gian Luca Romani

  • Cooperative and Competitive Spreading Dynamics on the Human Connectome

    Bratislav Mišić;Richard F. Betzel;Azadeh Nematzadeh;Joaquin Goñi

  • Structural connectomics in brain diseases.

    Alessandra Griffa;Philipp S. Baumann;Jean-Philippe Thiran;Jean-Philippe Thiran;Patric Hagmann;Patric Hagmann

  • Generative models of the human connectome

    Richard F. Betzel;Andrea Avena-Koenigsberger;Joaquín Goñi;Ye He

  • MR connectomics: Principles and challenges

    Patric Hagmann;Patric Hagmann;Patric Hagmann;Leila Cammoun;Xavier Gigandet;Stephan Gerhard

  • The connectome mapper: an open-source processing pipeline to map connectomes with MRI.

    Alessandro Daducci;Stephan Gerhard;Alessandra Griffa;Alessandra Griffa;Alia Lemkaddem

  • Supplementary Material for The Geometric Structure of the Brain Fiber Pathways

    Van J. Wedeen;Douglas L. Rosene;Ruopeng Wang;Guangping Dai

Frequent Co-Authors

Kim Q. Do
Kim Q. Do University of Lausanne
Olaf Sporns
Olaf Sporns Indiana University
Van J. Wedeen
Van J. Wedeen Harvard University
Gustavo Deco
Gustavo Deco Pompeu Fabra University
Bratislav Misic
Bratislav Misic Montreal Neurological Institute and Hospital
Philippe Maeder
Philippe Maeder University of Lausanne
Michel Cuenod
Michel Cuenod University of Lausanne
Dante Mantini
Dante Mantini KU Leuven
Martijn P. van den Heuvel
Martijn P. van den Heuvel Vrije Universiteit Amsterdam
Richard F. Betzel
Richard F. Betzel Indiana University

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