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Methodsx|January 10, 2022
Protocol for a machine learning algorithm predicting depressive disorders using the T1w/T2w ratioDavid A A Baranger, Yaroslav O Halchenko, Skye Satz, et al.Frontiers in Neuroinformatics|September 8, 2011
Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in pythonKrzysztof Gorgolewski, Christopher D Burns, Cindee Madison, et al.Frontiers in Human Neuroscience|March 10, 2022
The Relationship Between Default Mode and Dorsal Attention Networks Is Associated With Depressive Disorder Diagnosis and the Strength of Memory Representations Acquired Prior to the Resting State ScanSkye Satz, Yaroslav O Halchenko, Rachel Ragozzino, et al.Neuroimage. Clinical|August 29, 2021
Aberrant levels of cortical myelin distinguish individuals with depressive disorders from healthy controlsDavid A A Baranger, Yaroslav O Halchenko, Skye Satz, et al.Plos One|June 28, 2013
Prioritized Detection of Personally Familiar FacesMaria Ida Gobbini, Jason D Gors, Yaroslav O Halchenko, et al.Frontiers in Neuroinformatics|April 12, 2012
Data sharing in neuroimaging researchJean-Baptiste Poline, Janis L Breeze, Satrajit Ghosh, et al.Journal of Cognitive Neuroscience|October 1, 2014
The animacy continuum in the human ventral vision pathwayLong Sha, James V Haxby, Herve Abdi, et al.F1000Research|August 9, 2017
A very simple, re-executable neuroimaging publicationSatrajit S Ghosh, Jean-Baptiste Poline, David B Keator, et al.Scientific Reports|April 7, 2021
White matter abnormalities in adults with bipolar disorder type-II and unipolar depressionAnna Manelis, Adriane Soehner, Yaroslav O Halchenko, et al.Research Square|December 16, 2024
Behaviorally-relevant features of observed actions dominate cortical representational geometry in natural visionJane Han, Vassiki Chauhan, Rebecca Philip, et al.Pageof 12