Author

Benjamin A.E. Hunt

University of NottinghamORCID 0000-0002-8570-0027Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Matthew J. BrookesiD· 2 shared Andrew J. QuinniD· 1 shared Anna Christina NobreiD· 1 shared Diego VidaurreiD· 1 shared Dominic SimsiD· 1 shared Elena BotoiD· 1 shared James LeggettiD· 1 shared James Osborne· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersNeuroscience

Matthew J. BrookesORCID

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3 papers

Recent·Most cited

The developing relations between networks of cortical myelin and neurophysiological connectivity

Marlee M. Vandewouw, Benjamin A.E. Hunt, Justine Ziolkowski, Margot J. Taylor

This study examines how structural and functional brain connectivity change with age, showing nonlinear developmental patterns and frequency-dependent relationships.

NeuroImage · May 2, 2021Peer-reviewedNeuroscience

Multi-Channel Whole-Head OPM-MEG: Helmet Design and a Comparison with a Conventional System

Ryan M. Hill, Elena Boto, Molly Rea, Niall Holmes, James Leggett, Laurence A. Coles, Manolis Papastavrou, Sarah K. Everton, Benjamin A.E. Hunt, Dominic Sims, James Osborne, Vishal Shah, Richard W Bowtell, Matthew J. Brookes

The paper constructs and evaluates a 49-channel whole-head OPM-MEG system, showing comparable performance to cryogenic MEG with a rigid helmet design.

NeuroImage · May 29, 2020Peer-reviewedNeuroscience

Spontaneous cortical activity transiently organises into frequency specific phase-coupling networks

Diego Vidaurre, Laurence Tudor Hunt, Andrew J. Quinn, Benjamin A.E. Hunt, Matthew J. Brookes, Anna Christina Nobre, Mark W. Woolrich

The paper identifies frequency-specific phase-coupling networks in resting-state magnetoencephalography data, revealing distinct brain states associated with sensory, motor, and higher-order cognitive networks.

Nature Communications · Jul 24, 2018Peer-reviewedNeuroscience