Author

Ian J. Lieberman

Harvard University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 1

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Research Focus:cell-cell communication· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Agnieszka PlutaiD· 1 shared Ashley L. BinnquistiD· 1 shared Bear M. Goldstein· 1 shared Grace Qiyuan MiaoiD· 1 shared Matthew D. LiebermaniD· 1 shared Rick A. C. DaleiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperNeuroscience

Agnieszka PlutaORCID

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Author profile →

1 paper

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