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Matcheri S Keshavan, M.D.

Co-Author

This page shows the publications co-authored by Matcheri Keshavan and Amanda Lyall.
Connection Strength

0.403
  1. Improving the predictive potential of diffusion MRI in schizophrenia using normative models-Towards subject-level classification. Hum Brain Mapp. 2021 Oct 01; 42(14):4658-4670.
    View in: PubMed
    Score: 0.061
  2. White matter changes in psychosis risk relate to development and are not impacted by the transition to psychosis. Mol Psychiatry. 2021 May 24.
    View in: PubMed
    Score: 0.060
  3. Baseline Cortical Thickness Reductions in Clinical High Risk for Psychosis: Brain Regions Associated with Conversion to Psychosis Versus Non-Conversion as Assessed at One-Year Follow-Up in the Shanghai-At-Risk-for-Psychosis (SHARP) Study. Schizophr Bull. 2021 03 16; 47(2):562-574.
    View in: PubMed
    Score: 0.059
  4. Elucidating the relationship between white matter structure, demographic, and clinical variables in schizophrenia-a multicenter harmonized diffusion tensor imaging study. Mol Psychiatry. 2021 Jan 22.
    View in: PubMed
    Score: 0.059
  5. Investigating Sexual Dimorphism of Human White Matter in a Harmonized, Multisite Diffusion Magnetic Resonance Imaging Study. Cereb Cortex. 2021 01 01; 31(1):201-212.
    View in: PubMed
    Score: 0.059
  6. White matter abnormalities across the lifespan of schizophrenia: a harmonized multi-site diffusion MRI study. Mol Psychiatry. 2020 12; 25(12):3208-3219.
    View in: PubMed
    Score: 0.054
  7. Neural correlates of cognitive deficits across developmental phases of schizophrenia. Neurobiol Dis. 2019 11; 131:104353.
    View in: PubMed
    Score: 0.051
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.