D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Neuroscience D-index 75 Citations 25,965 243 World Ranking 714 National Ranking 14

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Artificial intelligence
  • Statistics

His main research concerns Neuroscience, Artificial intelligence, Electroencephalography, Statistical physics and Nonlinear system. As part of his studies on Neuroscience, Michael Breakspear frequently links adjacent subjects like Mechanism. His biological study spans a wide range of topics, including Surrogate data, Statistical hypothesis testing, Neuroimaging and Pattern recognition.

The concepts of his Electroencephalography study are interwoven with issues in Schizophrenia and Working memory. The various areas that Michael Breakspear examines in his Statistical physics study include Dynamical systems theory and Multistability. His Nonlinear system research includes elements of Function and Chaotic.

His most cited work include:

  • Network structure of cerebral cortex shapes functional connectivity on multiple time scales. (1337 citations)
  • Small-world networks and functional connectivity in Alzheimer's disease (1001 citations)
  • Small-world networks and functional connectivity in Alzheimer's disease (1001 citations)

What are the main themes of his work throughout his whole career to date?

Michael Breakspear spends much of his time researching Neuroscience, Cognition, Artificial intelligence, Electroencephalography and Bipolar disorder. His Neuroscience and Functional magnetic resonance imaging, Brain mapping, Brain activity and meditation, Connectome and Resting state fMRI investigations all form part of his Neuroscience research activities. His work carried out in the field of Functional magnetic resonance imaging brings together such families of science as Working memory and Functional imaging.

His Cognition research is multidisciplinary, relying on both Cognitive psychology, Cognitive science and Perception. His Artificial intelligence study integrates concerns from other disciplines, such as Surrogate data, Machine learning, Computer vision and Pattern recognition. His study looks at the intersection of Electroencephalography and topics like Nonlinear system with Chaotic and Statistical physics.

He most often published in these fields:

  • Neuroscience (68.15%)
  • Cognition (29.63%)
  • Artificial intelligence (28.15%)

What were the highlights of his more recent work (between 2017-2021)?

  • Neuroscience (68.15%)
  • Cognition (29.63%)
  • Electroencephalography (25.43%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Neuroscience, Cognition, Electroencephalography, Cognitive psychology and Brain function. As part of the same scientific family, Michael Breakspear usually focuses on Neuroscience, concentrating on Parkinson's disease and intersecting with Disinhibition. He combines subjects such as Functional magnetic resonance imaging, Cognitive science, Human brain and Amygdala with his study of Cognition.

His Electroencephalography study combines topics from a wide range of disciplines, such as Ion channel, Functional brain and Non invasive. His research on Cognitive psychology also deals with topics like

  • Stimulus and related Artificial intelligence,
  • Facial expression that intertwine with fields like Spatial independent component analysis, Motion correction, Correlation and Data-driven. His research in Artificial intelligence intersects with topics in Speech recognition and Pattern recognition.

Between 2017 and 2021, his most popular works were:

  • Human cognition involves the dynamic integration of neural activity and neuromodulatory systems (144 citations)
  • Human cognition involves the dynamic integration of neural activity and neuromodulatory systems (144 citations)
  • Questions and controversies in the study of time-varying functional connectivity in resting fMRI (111 citations)

In his most recent research, the most cited papers focused on:

  • Neuroscience
  • Artificial intelligence
  • Statistics

His primary areas of investigation include Neuroscience, Cognition, Connectome, Functional connectivity and Cognitive science. All of his Neuroscience and Neuroimaging, Active sleep, Functional brain, Vigilance and Electroencephalography investigations are sub-components of the entire Neuroscience study. His work deals with themes such as Bipolar disorder and State space, which intersect with Cognition.

Michael Breakspear has researched Connectome in several fields, including Functional magnetic resonance imaging, Categorical variable, Human brain, Age of onset and Attention deficit hyperactivity disorder. His study in Functional connectivity is interdisciplinary in nature, drawing from both Dynamical system and Cerebral cortex. He works mostly in the field of Cognitive science, limiting it down to topics relating to Social cognition and, in certain cases, Brain function, as a part of the same area of interest.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Network structure of cerebral cortex shapes functional connectivity on multiple time scales.

Christopher J. Honey;Rolf Kötter;Michael Breakspear;Olaf Sporns.
Proceedings of the National Academy of Sciences of the United States of America (2007)

1578 Citations

Small-world networks and functional connectivity in Alzheimer's disease

CJ Stam;BF Jones;G Nolte;M Breakspear;M Breakspear.
Cerebral Cortex (2006)

1271 Citations

The connectomics of brain disorders

Alex Fornito;Andrew Zalesky;Michael Breakspear.
Nature Reviews Neuroscience (2015)

956 Citations

The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields

Gustavo Deco;Viktor K. Jirsa;Peter A. Robinson;Michael Breakspear;Michael Breakspear.
PLOS Computational Biology (2008)

911 Citations

Graph analysis of the human connectome: promise, progress, and pitfalls.

Alex Fornito;Andrew Zalesky;Michael Breakspear.
NeuroImage (2013)

590 Citations

Synchronous Gamma activity: a review and contribution to an integrative neuroscience model of schizophrenia

Kwang-Hyuk Lee;Leanne M. Williams;Michael Breakspear;Evian Gordon.
Brain Research Reviews (2003)

546 Citations

Time-resolved resting-state brain networks

Andrew Zalesky;Alex Fornito;Alex Fornito;Luca Cocchi;Leonardo L. Gollo.
Proceedings of the National Academy of Sciences of the United States of America (2014)

545 Citations

Modeling the impact of lesions in the human brain.

Jeffrey Alstott;Michael Breakspear;Patric Hagmann;Patric Hagmann;Leila Cammoun;Leila Cammoun.
PLOS Computational Biology (2009)

488 Citations

Small-world networks and disturbed functional connectivity in schizophrenia.

Sifis Micheloyannis;Sifis Micheloyannis;Ellie Pachou;Cornelis Jan Stam;Michael Breakspear;Michael Breakspear.
Schizophrenia Research (2006)

466 Citations

Small‐world properties of nonlinear brain activity in schizophrenia

Mikail Rubinov;Stuart A. Knock;Cornelis J. Stam;Sifis Micheloyannis.
Human Brain Mapping (2009)

454 Citations

Editorial Boards

NeuroImage
(Impact Factor: 7.4)

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