David N. Kennedy

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Hodge SM, Haselgrove C, Honor L, et al. (2020) An assessment of the autism neuroimaging literature for the prospects of re-executability F1000research. 9: 1031
Hagler DJ, Hatton S, Cornejo MD, et al. (2019) Image processing and analysis methods for the Adolescent Brain Cognitive Development Study. Neuroimage. 116091
Zhu F, Liu Y, Liu F, et al. (2019) Functional asymmetry of thalamocortical networks in subjects at ultra-high risk for psychosis and first-episode schizophrenia. European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology
Martone M, Goscinski W, Das S, et al. (2018) Call for community review of the Brain Imaging Data Structure – a standard for organizing and describing MRI data sets F1000research. 7
Honor LB, Haselgrove C, Frazier JA, et al. (2016) Data Citation in Neuroimaging: Proposed Best Practices for Data Identification and Attribution. Frontiers in Neuroinformatics. 10: 34
Rane P, Cochran D, Hodge SM, et al. (2015) Connectivity in Autism: A Review of MRI Connectivity Studies. Harvard Review of Psychiatry. 23: 223-44
Kennedy DN, Haselgrove C, Riehl J, et al. (2015) The NITRC image repository. Neuroimage
Eicher JD, Montgomery AM, Akshoomoff N, et al. (2015) Dyslexia and language impairment associated genetic markers influence cortical thickness and white matter in typically developing children. Brain Imaging and Behavior
Jernigan TL, Brown TT, Hagler DJ, et al. (2015) The Pediatric Imaging, Neurocognition, and Genetics (PING) Data Repository. Neuroimage
Noble KG, Houston SM, Brito NH, et al. (2015) Family income, parental education and brain structure in children and adolescents. Nature Neuroscience. 18: 773-8