D-Index & Metrics Best Publications

D-Index & Metrics

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 40 Citations 6,728 98 World Ranking 3287 National Ranking 288

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Artificial intelligence
  • Statistics

Matthew J. Brookes focuses on Magnetoencephalography, Neuroscience, Resting state fMRI, Neuroimaging and Artificial intelligence. His study with Magnetoencephalography involves better knowledge in Electroencephalography. His Default mode network, Nerve net and Cerebral cortex investigations are all subjects of Neuroscience research.

His studies in Resting state fMRI integrate themes in fields like Coherence and Functional connectivity. His Artificial intelligence study incorporates themes from Algorithm, Computer vision and Pattern recognition. His Pattern recognition research incorporates themes from Voxel, Multivariate statistics and Autoregressive model.

His most cited work include:

  • Investigating the electrophysiological basis of resting state networks using magnetoencephalography (637 citations)
  • Moving magnetoencephalography towards real-world applications with a wearable system. (314 citations)
  • Measuring functional connectivity using MEG: methodology and comparison with fcMRI. (310 citations)

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

Matthew J. Brookes mainly focuses on Magnetoencephalography, Neuroscience, Artificial intelligence, Resting state fMRI and Neuroimaging. His work carried out in the field of Magnetoencephalography brings together such families of science as Cognition, Electrophysiology, Visual cortex and Human brain. His Artificial intelligence research is multidisciplinary, incorporating elements of Metric, Electroencephalography, Interference, Computer vision and Pattern recognition.

The various areas that Matthew J. Brookes examines in his Pattern recognition study include Voxel, Data mining and Speech recognition. The study incorporates disciplines such as Statistical physics, Connectome, Functional connectivity and Coherence in addition to Resting state fMRI. His research in Neuroimaging intersects with topics in Independent component analysis, Brain activity and meditation and Brain mapping.

He most often published in these fields:

  • Magnetoencephalography (59.72%)
  • Neuroscience (38.19%)
  • Artificial intelligence (22.92%)

What were the highlights of his more recent work (between 2019-2021)?

  • Magnetoencephalography (59.72%)
  • Electrophysiology (13.19%)
  • Resting state fMRI (19.44%)

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

Matthew J. Brookes spends much of his time researching Magnetoencephalography, Electrophysiology, Resting state fMRI, Magnetic potential and Neuroscience. His Magnetoencephalography research integrates issues from Detection theory and Neuroimaging. His work investigates the relationship between Neuroimaging and topics such as Hippocampus that intersect with problems in Coherence.

His Electrophysiology study combines topics from a wide range of disciplines, such as Alpha, Neurophysiology and Symptom severity. His Resting state fMRI research is multidisciplinary, relying on both Ketamine and Anesthesia. His research integrates issues of Beta, Rhythm and Isometric exercise in his study of Neuroscience.

Between 2019 and 2021, his most popular works were:

  • Glutathione and glutamate in schizophrenia: a 7T MRS study. (40 citations)
  • Multi-channel whole-head OPM-MEG: Helmet design and a comparison with a conventional system. (21 citations)
  • The role of transient spectral ‘bursts’ in functional connectivity: A magnetoencephalography study (13 citations)

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

  • Neuroscience
  • Artificial intelligence
  • Statistics

The scientist’s investigation covers issues in Magnetoencephalography, Neuroscience, Resting state fMRI, Quadratic trend and White matter. His studies deal with areas such as Computer hardware, Lift, Detection theory, Alpha and Functional neuroimaging as well as Magnetoencephalography. His work deals with themes such as Rhythm and Isometric exercise, which intersect with Neuroscience.

His biological study spans a wide range of topics, including Ketamine and Anesthesia. His Quadratic trend study spans across into areas like Nuclear magnetic resonance, Magnetisation transfer and Age related.

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

Investigating the electrophysiological basis of resting state networks using magnetoencephalography

Matthew J. Brookes;Mark Woolrich;Henry Luckhoo;Darren Price.
Proceedings of the National Academy of Sciences of the United States of America (2011)

749 Citations

Measuring functional connectivity using MEG: methodology and comparison with fcMRI.

Matthew J. Brookes;Joanne R. Hale;Johanna M. Zumer;Claire M. Stevenson.
NeuroImage (2011)

378 Citations

Moving magnetoencephalography towards real-world applications with a wearable system.

Elena Boto;Niall Holmes;James Leggett;Gillian Roberts.
Nature (2018)

365 Citations

Fast transient networks in spontaneous human brain activity

Adam P. Baker;Matthew J. Brookes;Iead A. Rezek;Stephen M. Smith.
eLife (2014)

323 Citations

Broadband Cortical Desynchronization Underlies the Human Psychedelic State

Suresh D Muthukumaraswamy;Robin L Carhart-Harris;Rosalyn J Moran;Matthew J Brookes.
The Journal of Neuroscience (2013)

284 Citations

Water proton T1 measurements in brain tissue at 7, 3, and 1.5 T using IR-EPI, IR-TSE, and MPRAGE: results and optimization.

P. J. Wright;O. E. Mougin;J. J. Totman;A. M. Peters.
Magnetic Resonance Materials in Physics Biology and Medicine (2008)

235 Citations

Measuring functional connectivity in MEG: A multivariate approach insensitive to linear source leakage

Matthew J. Brookes;Mark William Woolrich;Gareth R. Barnes.
NeuroImage (2012)

233 Citations

A symmetric multivariate leakage correction for MEG connectomes.

Giles L. Colclough;Matthew J. Brookes;Stephen M. Smith;Mark W. Woolrich.
NeuroImage (2015)

222 Citations

Optimising experimental design for MEG beamformer imaging.

Matthew J. Brookes;Jiri Vrba;Stephen E. Robinson;Claire M. Stevenson.
NeuroImage (2008)

217 Citations

How reliable are MEG resting-state connectivity metrics?

Giles L. Colclough;Mark W. Woolrich;Prejaas Tewarie;Matthew J. Brookes.
NeuroImage (2016)

215 Citations

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