Matthew J. Brookes
Cognitive Neuroscience · 2010–2021
A researcher in the Science corpus: 13 papers; trusts 26 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 176 citations into it; #3,167 of 10,852 by trust here, #1,731 by citations
- Radiology, Nuclear Medicine and Imaging — 60 citations into it; #3,117 of 3,265 by trust here, #1,216 by citations
- Cellular and Molecular Neuroscience — 29 citations into it
- Statistics and Probability — 6 citations into it
Whom Matthew J. Brookes trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stephen M. Smith
- Wolf Singer
- Jan-Mathijs Schoffelen
- Joachim Gross
- Dante Mantini
- Alfons Schnitzler
- Cornelis J. Stam
- Guido Nolte
- Christian F. Beckmann
- Marcus E. Raichle
Who trusts Matthew J. Brookes overall
- Mark William Woolrich
- Giles L. Colclough
- Joana Cabral
- Stephen M. Smith
- Morten L. Kringelbach
- Gustavo Deco
- Aniruddh D. Patel
- Diego Vidaurre
- Prejaas Kavish Baldewpersad Tewarie
- Sarah I. Mossad
Papers from Matthew J. Brookes's perspective
Ordered by how strongly the researchers Matthew J. Brookes trusts endorse each paper. Same corpus, a different order for every researcher.
- Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI (Proc. Natl. Acad. Sci. USA)
- Mapping the Structural Core of Human Cerebral Cortex (PLoS Biology)
- Electrophysiological correlates of the brain's intrinsic large-scale functional architecture (Proceedings of the National Academy of Sciences of the United States of America)
- Time-frequency dynamics of resting-state brain connectivity measured with fMRI (NeuroImage)
- Normal and pathological oscillatory communication in the brain (Nature Reviews Neuroscience)
- Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer’s Disease
- Investigations into resting-state connectivity using independent component analysis (Philosophical Transactions of the Royal Society B: Biological Sciences)
- Electrophysiological signatures of resting state networks in the human brain (Proceedings of the National Academy of Sciences of the United States of America)
- The Brain's Default Network (Annals of the New York Academy of Sciences)
- Correspondence of the brain's functional architecture during activation and rest
Their papers
- Connectomics of Human Electrophysiology (2021)
- Optically pumped magnetometers: From quantum origins to multi-channel magnetoencephalography (2019) — 325 citations
- Moving magnetoencephalography towards real-world applications with a wearable system (2018) — 1,169 citations
- Dynamics of large-scale electrophysiological networks: A technical review (2017)
- A new generation of magnetoencephalography: Room temperature measurements using optically-pumped magnetometers (2017) — 411 citations
- Spontaneous cortical activity transiently organises into frequency specific phase-coupling networks (2017) — 356 citations
- How reliable are MEG resting-state connectivity metrics? (2016) — 397 citations
- A symmetric multivariate leakage correction for MEG connectomes (2015) — 416 citations
- Fast transient networks in spontaneous human brain activity (2014) — 549 citations
- Measuring functional connectivity in MEG: A multivariate approach insensitive to linear source leakage (2012) — 351 citations
- Investigating the electrophysiological basis of resting state networks using magnetoencephalography (2011) — 914 citations
- Measuring functional connectivity using MEG: Methodology and comparison with fcMRI (2011) — 519 citations
- Investigating spatial specificity and data averaging in MEG (2010)