2022
Machine Learning and Prediction in Fetal, Infant, and Toddler Neuroimaging: A Review and Primer
Scheinost D, Pollatou A, Dufford A, Jiang R, Farruggia M, Rosenblatt M, Peterson H, Rodriguez R, Dadashkarimi J, Liang Q, Dai W, Foster M, Camp C, Tejavibulya L, Adkinson B, Sun H, Ye J, Cheng Q, Spann M, Rolison M, Noble S, Westwater M. Machine Learning and Prediction in Fetal, Infant, and Toddler Neuroimaging: A Review and Primer. Biological Psychiatry 2022, 93: 893-904. PMID: 36759257, PMCID: PMC10259670, DOI: 10.1016/j.biopsych.2022.10.014.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsThe Art, Science, and Secrets of Scanning Young Children
Spann M, Wisnowski J, Group H, Ahtam B, Gao W, Huang H, Nebel M, Norton E, Ouyang M, Rajagopalan V, Riggins T, Saygin Z, Scott L, Smyser C, Thomason M, Wakschlag L, Smyser C, Fetal I, Ahmad S, Aydin E, Barkovich A, Berger-Jenkins E, Brick J, Bowman L, Camacho M, Lugo-Candelas C, Cusack R, DuBois J, Dufford A, Elison J, Ellis C, Ferradal S, Filippi C, Ford A, Fouladivanda M, Gaab N, Gano D, Ganz-Benjaminsen M, Ghetti S, Glenn O, Gomez M, Graham A, Hendrix C, Holland C, Humphreys K, Korom M, Kosakowski H, Li G, Manessis A, Nolvi S, Pineda R, Pollatou A, Rae C, Rasmussen J, Scheinost D, Shultz S, Simon-Martinez C, Madsen K, Sung S, Sylvester C, Turesky T, Vaughn K, Wagner L, Wang L, Warton F, Wilson S, Wintermark P, Wu Y, Yap P, Yates T, Yen E, Yu X, Zhu H, Zöllei L, Howell B, Dean D. The Art, Science, and Secrets of Scanning Young Children. Biological Psychiatry 2022, 93: 858-860. PMID: 36336497, PMCID: PMC10050222, DOI: 10.1016/j.biopsych.2022.09.025.Peer-Reviewed Original ResearchAge‐related topographic map of magnetic resonance diffusion metrics in neonatal brains
Bobba PS, Weber CF, Mak A, Mozayan A, Malhotra A, Sheth KN, Taylor SN, Vossough A, Grant PE, Scheinost D, Constable RT, Ment LR, Payabvash S. Age‐related topographic map of magnetic resonance diffusion metrics in neonatal brains. Human Brain Mapping 2022, 43: 4326-4334. PMID: 35599634, PMCID: PMC9435001, DOI: 10.1002/hbm.25956.Peer-Reviewed Original ResearchConceptsGestational ageCerebellar white matterWhite matterNeonatal brainDiffusion-weighted imagingCorpus callosumMD valuesCorpus callosum myelinationLower gestational ageTerm-equivalent ageSubcortical white matterFA/MDApparent diffusion coefficient (ADC) valuesMonths of ageDiffusion tensor imaging (DTI) metricsDiffusion metricsAge-related evolutionAge-related changesAge-specific normative valuesNeonatal ageBrain parenchymaCorticospinal tractNeonate brainDiffusivity metricsADC valuesAn ode to fetal, infant, and toddler neuroimaging: Chronicling early clinical to research applications with MRI, and an introduction to an academic society connecting the field
Pollatou A, Filippi CA, Aydin E, Vaughn K, Thompson D, Korom M, Dufford AJ, Howell B, Zöllei L, Di Martino A, Graham A, Group F, Scheinost D, Spann MN. An ode to fetal, infant, and toddler neuroimaging: Chronicling early clinical to research applications with MRI, and an introduction to an academic society connecting the field. Developmental Cognitive Neuroscience 2022, 54: 101083. PMID: 35184026, PMCID: PMC8861425, DOI: 10.1016/j.dcn.2022.101083.Peer-Reviewed Original Research
2016
Functional magnetic resonance connectivity studies in infants born preterm: suggestions of proximate and long‐lasting changes in language organization
Kwon SH, Scheinost D, Vohr B, Lacadie C, Schneider K, Dai F, Sze G, Constable RT, Ment LR. Functional magnetic resonance connectivity studies in infants born preterm: suggestions of proximate and long‐lasting changes in language organization. Developmental Medicine & Child Neurology 2016, 58: 28-34. PMID: 27027605, PMCID: PMC6426123, DOI: 10.1111/dmcn.13043.Peer-Reviewed Original Research