Author

Michael C. Ridding

The University of AdelaideORCID 0000-0001-5657-9136Unclaimed 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· 4 Assay:electronic health records· 3 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Mitchell R. GoldsworthyiD· 4 shared Bahar MoezziiD· 2 shared Brenton G. HordacreiD· 2 shared Carolyn F. BerrymaniD· 2 shared Lynton J. GraetziD· 2 shared Nigel C. RogaschiD· 2 shared Alex FornitoiD· 1 shared Ashley MerkiniD· 1 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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4 shared papersNeuroscience

Mitchell R. GoldsworthyORCID

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4 papers

Recent·Most cited

The role of alpha power in the suppression of anticipated distractors during verbal working memory

Sabrina Sghirripa, Lynton J. Graetz, Ashley Merkin, Nigel C. Rogasch, Michael C. Ridding, John G. Semmler, Mitchell R. Goldsworthy

This study investigates how alpha power relates to inhibiting anticipated distractors in verbal working memory, finding increased alpha power before distractors but no effect of distractor strength.

Brain Topography · Nov 20, 2020Peer-reviewedNeuroscience

Characterization of young and old adult brains: An EEG functional connectivity analysis

Bahar Moezzi, Latha Madhuri Pratti, Brenton G. Hordacre, Lynton J. Graetz, Carolyn F. Berryman, Louise M. Lavrencic, Michael C. Ridding, Hannah A. D. Keage, Mark D. McDonnell, Mitchell R. Goldsworthy

This study uses EEG functional connectivity analysis to distinguish young and old adults, finding decreased connectivity in theta, alpha, and gamma bands and increased in beta band with aging.

Neuroscience · Dec 1, 2019Peer-reviewedNeuroscience

Test-retest reliability of functional brain network characteristics using resting-state EEG and graph theory

Bahar Moezzi, Brenton G. Hordacre, Carolyn F. Berryman, Michael C. Ridding, Mitchell R. Goldsworthy

This study assesses the test-retest reliability of functional brain network metrics from resting-state EEG using graph theory, finding varying reliability across analysis levels and frequency bands.

bioRxiv · Aug 5, 2018 · PreprintNeuroscience

The effect of stimulation interval on plasticity following repeated blocks of intermittent theta burst stimulation

Nga Yan Tse, Mitchell R. Goldsworthy, Michael C. Ridding, James P. Coxon, Paul Bernard Fitzgerald, Alex Fornito, Nigel C. Rogasch

This study examines how varying intervals between intermittent theta burst stimulation (iTBS) blocks affects cortical plasticity, finding that longer intervals increase excitatory facilitation but with significant individual variability.

Scientific Reports · May 29, 2018Peer-reviewedNeuroscience