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Clinical and Translational Medicine
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October 10, 2022
Precision psychiatry requires disentangling disorder-specific variation: The case of ASD
Aidas Aglinskas, Stefano Anzellotti
Psychiatry and Clinical Neurosciences
|
April 30, 2025
Understanding heterogeneity in psychiatric disorders: A method for identifying subtypes and parsing comorbidity
Aidas Aglinskas, Alicia Bergeron, Stefano Anzellotti
Neuroimage
|
April 20, 2023
Similar representation of names and faces in the network for person perception
Aidas Aglinskas, Scott L Fairhall
Cerebral Cortex (New York, N.Y. : 1991)
|
July 25, 2019
Regional Specialization and Coordination Within the Network for Perceiving and Knowing About Others
Aidas Aglinskas, Scott L Fairhall
Nature Methods
|
November 29, 2025
DeepCor: denoising fMRI data with contrastive autoencoders
Yu Zhu, Aidas Aglinskas, Stefano Anzellotti
Frontiers in Behavioral Neuroscience
|
April 7, 2023
Disentangling disorder-specific variation is key for precision psychiatry in autism
Aidas Aglinskas, Emily Schwartz, Stefano Anzellotti
Science (New York, N.Y.)
|
June 2, 2022
Contrastive machine learning reveals the structure of neuroanatomical variation within autism
Aidas Aglinskas, Joshua K Hartshorne, Stefano Anzellotti
Neuroimage
|
May 9, 2017
Using guitar learning to probe the Action Observation Network's response to visuomotor familiarity
Tom Gardner, Aidas Aglinskas, Emily S Cross
Neuroinformatics
|
September 14, 2021
Controlling for Spurious Nonlinear Dependence in Connectivity Analyses
Craig Poskanzer, Mengting Fang, Aidas Aglinskas, et al.
Scientific Reports
|
June 4, 2020
General and feature-based semantic representations in the semantic network
Antonietta Gabriella Liuzzi, Aidas Aglinskas, Scott Laurence Fairhall
Page
of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Clinical and Translational Medicine
|
October 10, 2022
Precision psychiatry requires disentangling disorder-specific variation: The case of ASD
Aidas Aglinskas, Stefano Anzellotti
Psychiatry and Clinical Neurosciences
|
April 30, 2025
Understanding heterogeneity in psychiatric disorders: A method for identifying subtypes and parsing comorbidity
Aidas Aglinskas, Alicia Bergeron, Stefano Anzellotti
Neuroimage
|
April 20, 2023
Similar representation of names and faces in the network for person perception
Aidas Aglinskas, Scott L Fairhall
Cerebral Cortex (New York, N.Y. : 1991)
|
July 25, 2019
Regional Specialization and Coordination Within the Network for Perceiving and Knowing About Others
Aidas Aglinskas, Scott L Fairhall
Nature Methods
|
November 29, 2025
DeepCor: denoising fMRI data with contrastive autoencoders
Yu Zhu, Aidas Aglinskas, Stefano Anzellotti
Frontiers in Behavioral Neuroscience
|
April 7, 2023
Disentangling disorder-specific variation is key for precision psychiatry in autism
Aidas Aglinskas, Emily Schwartz, Stefano Anzellotti
Science (New York, N.Y.)
|
June 2, 2022
Contrastive machine learning reveals the structure of neuroanatomical variation within autism
Aidas Aglinskas, Joshua K Hartshorne, Stefano Anzellotti
Neuroimage
|
May 9, 2017
Using guitar learning to probe the Action Observation Network's response to visuomotor familiarity
Tom Gardner, Aidas Aglinskas, Emily S Cross
Neuroinformatics
|
September 14, 2021
Controlling for Spurious Nonlinear Dependence in Connectivity Analyses
Craig Poskanzer, Mengting Fang, Aidas Aglinskas, et al.
Scientific Reports
|
June 4, 2020
General and feature-based semantic representations in the semantic network
Antonietta Gabriella Liuzzi, Aidas Aglinskas, Scott Laurence Fairhall
Page
of 2