Year: 2023
Type: article
Study design: Observational Study
Source: Neuron
Authors: Adam Pines, Arielle S. Keller, Bart Larsen, Maxwell Bertolero, Arian Ashourvan, Dani S. Bassett, Matthew Cieslak, Sydney Covitz, Yong Fan, Eric Feczko, Audrey Houghton, Amanda R. Rueter, Manish Saggar, Golia Shafiei, Tinashe M. Tapera, Jacob Vogel, Sarah M. Weinstein, Russell T. Shinohara, Leanne M. Williams, Damien A. Fair, Theodore D. Satterthwaite
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: bronze
Funders: National Science Foundation, Washington University in St. Louis, American Medical Association, National Institutes of Health, McDonnell Center for Systems Neuroscience, National Institute of Mental Health, National Institute on Drug Abuse, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering
Awards: G1136693386, NIPreps: integrating neuroimaging preprocessing workflows across modalities, populations, and species, G2478609337, G3072816452, Brain trajectories in ADHD, Graduate Research Fellowship Program(GRFP), G3407965938, G3933175036, Semiparametric Inference for Psychiatric Neuroimaging, G4407198742, Network Control and Functional Context: Mechanisms for TMS Response, Personalized Mapping of Affective Lability, Biomedical Image Computing and Informatics Cluster, G686255060, G6955144958, Mapping the Human Connectome During Typical Development, Mapping connectomes for disordered emotional states, G8696638195, Only time will tell: a computational psychiatry approach to model temporal transitions in brain activity as a lens towards developing better diagnostic nosology for psychiatric illness, Brain iron as a neurodevelopmental mechanism for transdianostic executive dysfunction, G9000052492, G9000058931, G9000130585, G9000133798, G9000265936, 6/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT OHSU, Inter-modal Coupling Image Analytics, Interpretable Deep Learning for Analyzing Brain Development Heterogeneity with Personalized Functional Networks Across Multi-Site Data, Statistical Methods for Multilevel Multivariate Functional Studies
OpenAlex ID: W4321209199