 Connection
Jason Tregellas to Connectome
This is a "connection" page, showing publications Jason Tregellas has written about Connectome.
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Connection Strength |
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2.325 |
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Smucny J, Wylie KP, Lesh TA, Carter CS, Tregellas JR. Whole-brain intrinsic functional connectivity predicts symptoms and functioning in early psychosis. J Psychiatr Res. 2024 Jul; 175:411-417.
Score: 0.841
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Bear JJ, Kirsch HE, Berman BD, Chapman KE, Tregellas JR. Spike-associated networks and intracranial electrographic findings. Epileptic Disord. 2020 Jun 01; 22(3):291-299.
Score: 0.639
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Berman BD, Smucny J, Wylie KP, Shelton E, Kronberg E, Leehey M, Tregellas JR. Levodopa modulates small-world architecture of functional brain networks in Parkinson's disease. Mov Disord. 2016 11; 31(11):1676-1684.
Score: 0.490
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Dodd K, Legget KT, Cornier MA, Novick AM, McHugo M, Berman BD, Lawful BP, Tregellas JR. Relationship between functional connectivity and weight-gain risk of antipsychotics in schizophrenia. Schizophr Res. 2024 05; 267:173-181.
Score: 0.208
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Jensen AM, Tregellas JR, Sutton B, Xing F, Ghosh D. Kernel machine tests of association between brain networks and phenotypes. PLoS One. 2019; 14(3):e0199340.
Score: 0.147
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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