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Biological Psychiatry
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November 6, 2020
The Promise of Machine Learning for Psychiatry
Saige Rutherford
The Lancet. Digital Health
|
October 25, 2024
Fairly evaluating the performance of normative models
Andre Marquand, Saige Rutherford, Richard Dinga
Cerebral Cortex (New York, N.Y. : 1991)
|
January 15, 2021
Boost in Test-Retest Reliability in Resting State fMRI with Predictive Modeling
Aman Taxali, Mike Angstadt, Saige Rutherford, et al.
Human Brain Mapping
|
May 5, 2020
Toward a "treadmill test" for cognition: Improved prediction of general cognitive ability from the task activated brain
Chandra Sripada, Mike Angstadt, Saige Rutherford, et al.
Plos One
|
May 4, 2018
The "social brain" is highly sensitive to the mere presence of social information: An automated meta-analysis and an independent study
Ivy F Tso, Saige Rutherford, Yu Fang, et al.
Neuroscience and Biobehavioral Reviews
|
July 12, 2025
The promise of quantifying individual risk for brain disorders through normative modeling, a narrative review
Charlotte Fraza, Saige Rutherford, Barbora Rehák Bučková, et al.
Scientific Reports
|
February 15, 2019
Basic Units of Inter-Individual Variation in Resting State Connectomes
Chandra Sripada, Mike Angstadt, Saige Rutherford, et al.
Communications Biology
|
June 19, 2024
Population-level normative models reveal race- and socioeconomic-related variability in cortical thickness of threat neurocircuitry
Nathaniel G Harnett, Negar Fani, Grace Rowland, et al.
Schizophrenia Research
|
November 24, 2020
Dynamic causal modeling of eye gaze processing in schizophrenia
Ivy F Tso, Mike Angstadt, Saige Rutherford, et al.
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging
|
August 8, 2024
Social Cognition and Functional Connectivity in Early and Chronic Schizophrenia
Saige Rutherford, Carly A Lasagna, Scott D Blain, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 31) with videos related to
Sort By:
Page
of 4
Biological Psychiatry
|
November 6, 2020
The Promise of Machine Learning for Psychiatry
Saige Rutherford
The Lancet. Digital Health
|
October 25, 2024
Fairly evaluating the performance of normative models
Andre Marquand, Saige Rutherford, Richard Dinga
Cerebral Cortex (New York, N.Y. : 1991)
|
January 15, 2021
Boost in Test-Retest Reliability in Resting State fMRI with Predictive Modeling
Aman Taxali, Mike Angstadt, Saige Rutherford, et al.
Human Brain Mapping
|
May 5, 2020
Toward a "treadmill test" for cognition: Improved prediction of general cognitive ability from the task activated brain
Chandra Sripada, Mike Angstadt, Saige Rutherford, et al.
Plos One
|
May 4, 2018
The "social brain" is highly sensitive to the mere presence of social information: An automated meta-analysis and an independent study
Ivy F Tso, Saige Rutherford, Yu Fang, et al.
Neuroscience and Biobehavioral Reviews
|
July 12, 2025
The promise of quantifying individual risk for brain disorders through normative modeling, a narrative review
Charlotte Fraza, Saige Rutherford, Barbora Rehák Bučková, et al.
Scientific Reports
|
February 15, 2019
Basic Units of Inter-Individual Variation in Resting State Connectomes
Chandra Sripada, Mike Angstadt, Saige Rutherford, et al.
Communications Biology
|
June 19, 2024
Population-level normative models reveal race- and socioeconomic-related variability in cortical thickness of threat neurocircuitry
Nathaniel G Harnett, Negar Fani, Grace Rowland, et al.
Schizophrenia Research
|
November 24, 2020
Dynamic causal modeling of eye gaze processing in schizophrenia
Ivy F Tso, Mike Angstadt, Saige Rutherford, et al.
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging
|
August 8, 2024
Social Cognition and Functional Connectivity in Early and Chronic Schizophrenia
Saige Rutherford, Carly A Lasagna, Scott D Blain, et al.
Page
of 4