Author

Clark Glymour

Carnegie Mellon 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· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Assay:imaging· 2 Research Focus:spatial domain detection· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

Rubén Sánchez-RomeroiD· 3 shared Jackson C. Liang· 2 shared Joseph Ramsey· 2 shared Biwei HuangiD· 1 shared Joseph D. Ramsey· 1 shared Kevin Jarbo· 1 shared Kun ZhangiD· 1 shared Madelyn Glymour· 1 shared

Activity by Year

2016-2018 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 17 mutual co-author links

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3 shared papersNeuroscience

Rubén Sánchez-RomeroORCID

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Author profile →

3 papers

Recent·Most cited

Causal Discovery of Feedback Networks with Functional Magnetic Resonance Imaging

Rubén Sánchez-Romero, Joseph Ramsey, Kun Zhang, Madelyn Glymour, Biwei Huang, Clark Glymour

The paper evaluates and introduces new statistical methods for inferring causal feedback networks from fMRI data, finding several methods achieve over 80% orientation precision and the new methods show strong recall.

Network Neuroscience · Jun 4, 2018Peer-reviewedNeuroscience

Identification of Mechanisms of Functional Signaling Between Human Hippocampus Regions

Rubén Sánchez-Romero, Joseph Ramsey, Jackson C. Liang, Clark Glymour

The paper identifies voxel subsets driving functional connectivity between hippocampal regions using the FGES algorithm on rs-fMRI data.

bioRxiv · Jan 12, 2017 · PreprintNeuroscience

Estimation of Voxelwise Effective Connectivities: Applications to High Connectivity Sub-Regions within Hippocampal and within Corticostriatal Networks

Ruben Sanchez-Romero, Joseph D. Ramsey, Jackson C. Liang, Kevin Jarbo, Clark Glymour

The paper develops a statistical method to identify key voxels driving connectivity in brain regions, applying it to fMRI data from hippocampal and corticostriatal networks.

bioRxiv · Feb 8, 2016 · PreprintNeuroscience