Author

Linda L. Carpenter

Brown UniversityORCID 0000-0002-9651-3307Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 4

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Assay:electronic health records· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Brian C. KavanaughiD· 2 shared Christopher H. LegereiD· 2 shared Eric Tirrell· 2 shared Megan M. VigneiD· 2 shared Noah Vaughan· 2 shared Ryan V. ThorpeiD· 2 shared Stephanie R. JonesiD· 2 shared W. Luke Acuff· 2 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersNeuroscience

Brian C. KavanaughORCID

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4 papers

Recent·Most cited

Aberrant E-I Balance and Brain Criticality in Major Depressive Disorder

Asako Mitsuto Nagase, Abhimanyu Bhardwaj, Linden Parkes, Fatima Faruqi, Linda L. Carpenter, Andrew Westbrook

This study identifies disruptions in brain criticality and excitation-inhibition balance in Major Depressive Disorder using resting-state EEG data.

bioRxiv · Oct 19, 2025 · PreprintNeuroscience

The association between oscillatory burst features and human working memory accuracy

Brian C. Kavanaugh, Megan M. Vigne, Ryan V. Thorpe, Christopher H. Legere, W. Luke Acuff, Noah Vaughan, Eric Tirrell, Saskia Haegens, Linda L. Carpenter, Stephanie R. Jones

This study examines how burst features of oscillatory activity in alpha, beta, and high frequency bands relate to working memory accuracy in healthy adults.

Journal of Cognitive Neuroscience · Aug 14, 2025Peer-reviewedNeuroscience

Dysfunctional oscillatory bursting patterns underlie working memory deficits in adolescents with ADHD

Brian C. Kavanaugh, Megan M. Vigne, Isaiah Gamble, Christopher H. Legere, Gian DePamphilis, W. Luke Acuff, Eric Tirrell, Noah Vaughan, Ryan V. Thorpe, Anthony Spirito, Stephanie R. Jones, Linda L. Carpenter

The paper investigates bursting patterns in EEG data from adolescents with ADHD and finds that deviations in alpha/beta and gamma burst dynamics correlate with working memory errors and clinical symptoms.

bioRxiv · Dec 9, 2024 · PreprintNeuroscience

Synapses, predictions, and prediction errors: a neocortical computational study of MDD using the temporal memory algorithm of HTM.

Mohamed A. Sherif, Mostafa Khalil, Rammohan Shukla, Joshua C. Brown, Linda L. Carpenter

This study uses a temporal memory algorithm to model how synaptic atrophy in the neocortex affects predictive capacity and prediction confidence, linking it to major depressive disorder symptoms.

Frontiers in Psychiatry · Feb 23, 2023Peer-reviewedNeuroscience