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Calixto C, Dorigatti Soldatelli M, Jaimes C, Pierotich L, Warfield SK, Gholipour A, Karimi D. A detailed spatiotemporal atlas of the white matter tracts for the fetal brain. Proc Natl Acad Sci U S A 2025; 122:e2410341121. [PMID: 39793058 PMCID: PMC11725871 DOI: 10.1073/pnas.2410341121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Accepted: 11/19/2024] [Indexed: 01/12/2025] Open
Abstract
This study presents the construction of a comprehensive spatiotemporal atlas of white matter tracts in the fetal brain for every gestational week between 23 and 36 wk using diffusion MRI (dMRI). Our research leverages data collected from fetal MRI scans, capturing the dynamic changes in the brain's architecture and microstructure during this critical period. The atlas includes 60 distinct white matter tracts, including commissural, projection, and association fibers. We employed advanced fetal dMRI processing techniques and tractography to map and characterize the developmental trajectories of these tracts. Our findings reveal that the development of these tracts is characterized by complex patterns of fractional anisotropy (FA) and mean diffusivity (MD), coinciding with the intensity of histogenic processes such as axonal growth, involution of the radial-glial scaffolding, and synaptic pruning. This atlas can serve as a useful resource for neuroscience research and clinical practice, improving our understanding of the fetal brain and potentially aiding in the early diagnosis of neurodevelopmental disorders. By detailing the normal progression of white matter tract development, the atlas can be used as a benchmark for identifying deviations that may indicate neurological anomalies or predispositions to disorders.
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Affiliation(s)
- Camilo Calixto
- Computational Radiology Laboratory, Boston Children’s Hospital, Boston, MA02115
- Harvard Medical School, Boston, MA02115
| | - Matheus Dorigatti Soldatelli
- Computational Radiology Laboratory, Boston Children’s Hospital, Boston, MA02115
- Harvard Medical School, Boston, MA02115
| | - Camilo Jaimes
- Harvard Medical School, Boston, MA02115
- Massachusetts General Hospital, Boston, MA02114
| | - Lana Pierotich
- Computational Radiology Laboratory, Boston Children’s Hospital, Boston, MA02115
- Harvard Medical School, Boston, MA02115
| | - Simon K. Warfield
- Computational Radiology Laboratory, Boston Children’s Hospital, Boston, MA02115
- Harvard Medical School, Boston, MA02115
| | - Ali Gholipour
- Computational Radiology Laboratory, Boston Children’s Hospital, Boston, MA02115
- Harvard Medical School, Boston, MA02115
- Department of Radiological Sciences, University of California Irvine, Irvine, CA92868
| | - Davood Karimi
- Computational Radiology Laboratory, Boston Children’s Hospital, Boston, MA02115
- Harvard Medical School, Boston, MA02115
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Yun HJ, Nagaraj UD, Grant PE, Merhar SL, Ou X, Lin W, Acheson A, Grewen K, Kline-Fath BM, Im K. A Prospective Multi-Institutional Study Comparing the Brain Development in the Third Trimester between Opioid-Exposed and Nonexposed Fetuses Using Advanced Fetal MR Imaging Techniques. AJNR Am J Neuroradiol 2024; 45:218-223. [PMID: 38216298 PMCID: PMC11285994 DOI: 10.3174/ajnr.a8101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 11/07/2023] [Indexed: 01/14/2024]
Abstract
BACKGROUND AND PURPOSE While the adverse neurodevelopmental effects of prenatal opioid exposure on infants and children in the United States are well described, the underlying causative mechanisms have yet to be fully understood. This study aims to compare quantitative volumetric and surface-based features of the fetal brain between opioid-exposed fetuses and unexposed controls by using advanced MR imaging processing techniques. MATERIALS AND METHODS This is a multi-institutional IRB-approved study in which pregnant women with and without opioid use during the current pregnancy were prospectively recruited to undergo fetal MR imaging. A total of 14 opioid-exposed (31.4 ± 2.3 weeks of gestation) and 15 unexposed (31.4 ± 2.4 weeks) fetuses were included. Whole brain volume, cortical plate volume, surface area, sulcal depth, mean curvature, and gyrification index were computed as quantitative features by using our fetal brain MR imaging processing pipeline. RESULTS After correcting for gestational age, fetal sex, maternal education, polysubstance use, high blood pressure, and MR imaging acquisition site, all of the global morphologic features were significantly lower in the opioid-exposed fetuses compared with the unexposed fetuses, including brain volume, cortical volume, cortical surface area, sulcal depth, cortical mean curvature, and gyrification index. In regional analysis, the opioid-exposed fetuses showed significantly decreased surface area and sulcal depth in the bilateral Sylvian fissures, central sulci, parieto-occipital fissures, temporal cortices, and frontal cortices. CONCLUSIONS In this small cohort, prenatal opioid exposure was associated with altered fetal brain development in the third trimester. This adds to the growing body of literature demonstrating that prenatal opioid exposure affects the developing brain.
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Affiliation(s)
- Hyuk Jin Yun
- From the Division of Newborn Medicine (H.J.Y, P.E.G., K.I.), Boston Children's Hospital, Boston, MA
- Harvard Medical School (H.J.Y, P.E.G., K.I.), Boston, MA
| | - Usha D Nagaraj
- Department of Radiology and Medical Imaging (U.D.N., B.M.K.-F.), Cincinnati Children's Hospital Medical Center, Cincinnati, OH
- University of Cincinnati College of Medicine (U.D.N., S.L.M., B.M.K.-F.), Cincinnati, OH
| | - P Ellen Grant
- From the Division of Newborn Medicine (H.J.Y, P.E.G., K.I.), Boston Children's Hospital, Boston, MA
- Harvard Medical School (H.J.Y, P.E.G., K.I.), Boston, MA
- Department of Radiology (P.E.G.), Boston Children's Hospital, Boston, MA
| | - Stephanie L Merhar
- University of Cincinnati College of Medicine (U.D.N., S.L.M., B.M.K.-F.), Cincinnati, OH
- Division of Neonatology, Perinatal Institute (S.L.M.), Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Xiawei Ou
- Departments of Radiology and Pediatrics (X.O.), University of Arkansas for Medical Sciences, Little Rock, AR
| | - Weili Lin
- Department of Radiology (W.L.), University of North Carolina, Chappel Hill, NC
| | - Ashley Acheson
- Department of Psychiatry and Behavioral Sciences (A.A.), University of Arkansas for Medical Sciences, Little Rock, AR
| | - Karen Grewen
- Department of Psychiatry (K.G.), University of North Carolina, Chappel Hill, NC
| | - Beth M Kline-Fath
- Department of Radiology and Medical Imaging (U.D.N., B.M.K.-F.), Cincinnati Children's Hospital Medical Center, Cincinnati, OH
- University of Cincinnati College of Medicine (U.D.N., S.L.M., B.M.K.-F.), Cincinnati, OH
| | - Kiho Im
- From the Division of Newborn Medicine (H.J.Y, P.E.G., K.I.), Boston Children's Hospital, Boston, MA
- Harvard Medical School (H.J.Y, P.E.G., K.I.), Boston, MA
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