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.
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.
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
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.
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)
Small-world networks and functional connectivity in Alzheimer's disease
CJ Stam;BF Jones;G Nolte;M Breakspear;M Breakspear.
Cerebral Cortex (2006)
The connectomics of brain disorders
Alex Fornito;Andrew Zalesky;Michael Breakspear.
Nature Reviews Neuroscience (2015)
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)
Graph analysis of the human connectome: promise, progress, and pitfalls.
Alex Fornito;Andrew Zalesky;Michael Breakspear.
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)
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)
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)
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)
Small‐world properties of nonlinear brain activity in schizophrenia
Mikail Rubinov;Stuart A. Knock;Cornelis J. Stam;Sifis Micheloyannis.
Human Brain Mapping (2009)
(Impact Factor: 7.4)
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