Author

Matthew D. Lieberman

University of California, Los AngelesORCID 0000-0002-4447-7359Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Agnieszka PlutaiD· 1 shared Ashley L. BinnquistiD· 1 shared Bear M. Goldstein· 1 shared Grace Qiyuan MiaoiD· 1 shared Ian J. Lieberman· 1 shared Kevin M. TaniD· 1 shared Lisa J. Burklund· 1 shared Michelle Genevieve CraskeiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 18 mutual co-author links

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1 shared paperNeuroscience

Agnieszka PlutaORCID

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2 papers

Recent·Most cited

Making new connections: An fNIRS machine learning classification study of neural synchrony in the default mode network

Grace Qiyuan Miao, Ian J. Lieberman, Ashley L. Binnquist, Agnieszka Pluta, Bear M. Goldstein, Rick A. C. Dale, Matthew D. Lieberman

This study uses machine learning to classify social connection based on DMN neural synchrony during conversations, finding that synchrony in specific brain regions predicts self-reported connection.

bioRxiv · May 31, 2025 · PreprintNeuroscience

Posttraumatic Stress Disorder and the Social Brain: Affect-Related Disruption of the Default and Mirror Networks

Kevin M. Tan, Lisa J. Burklund, Michelle Genevieve Craske, Matthew D. Lieberman

This study investigates social cognitive impairments in PTSD using fMRI, finding hyperactivation to emotional stimuli in social brain networks, linked to symptom severity and training outcomes.

Depression and Anxiety · Sep 2, 2019Peer-reviewedNeuroscience