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Schmitz-Koep B, Menegaux A, Zimmermann J, Thalhammer M, Neubauer A, Wendt J, Schinz D, Wachinger C, Daamen M, Boecker H, Zimmer C, Priller J, Wolke D, Bartmann P, Sorg C, Hedderich DM. Aberrant allometric scaling of cortical folding in preterm-born adults. Brain Commun 2022; 5:fcac341. [PMID: 36632185 PMCID: PMC9830984 DOI: 10.1093/braincomms/fcac341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 10/24/2022] [Accepted: 12/22/2022] [Indexed: 12/27/2022] Open
Abstract
A universal allometric scaling law has been proposed to describe cortical folding of the mammalian brain as a function of the product of cortical surface area and the square root of cortical thickness across different mammalian species, including humans. Since these cortical properties are vulnerable to developmental disturbances caused by preterm birth in humans and since these alterations are related to cognitive impairments, we tested (i) whether cortical folding in preterm-born adults follows this cortical scaling law and (ii) the functional relevance of potential scaling aberrances. We analysed the cortical scaling relationship in a large and prospectively collected cohort of 91 very premature-born adults (<32 weeks of gestation and/or birthweight <1500 g, very preterm and/or very low birth weight) and 105 full-term controls at 26 years of age based on the total surface area, exposed surface area and average cortical thickness measured with structural magnetic resonance imaging and surface-based morphometry. We found that the slope of the log-transformed cortical scaling relationship was significantly altered in adults (very preterm and/or very low birth weight: 1.24, full-term: 1.14, P = 0.018). More specifically, the slope was significantly altered in male adults (very preterm and/or very low birth weight: 1.24, full-term: 1.00, P = 0.031), while there was no significant difference in the slope of female adults (very preterm and/or very low birth weight: 1.27, full-term: 1.12, P = 0.225). Furthermore, offset was significantly lower compared with full-term controls in both male (very preterm and/or very low birth weight: -0.546, full-term: -0.538, P = 0.001) and female adults (very preterm and/or very low birth weight: -0.545, full-term: -0.538, P = 0.023), indicating a systematic shift of the regression line after preterm birth. Gestational age had a significant effect on the slope in very preterm and/or very low birth weight adults and more specifically in male very preterm and/or very low birth weight adults, indicating that the difference in slope is specifically related to preterm birth. The shape or tension term of the scaling law had no significant effect on cognitive performance, while the size of the cortex did. Results demonstrate altered scaling of cortical surface and cortical thickness in very premature-born adults. Data suggest altered mechanical forces acting on the cortex after preterm birth.
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Affiliation(s)
- Benita Schmitz-Koep
- Correspondence to: Benita Schmitz-Koep, MD Department of Diagnostic and Interventional Neuroradiology Technical University of Munich, School of Medicine Klinikum rechts der Isar, Ismaninger Strasse 22 81675 Munich, Germany E-mail:
| | - Aurore Menegaux
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
| | - Juliana Zimmermann
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
| | - Melissa Thalhammer
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
| | - Antonia Neubauer
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
| | - Jil Wendt
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
| | - David Schinz
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
| | - Christian Wachinger
- Lab for Artificial Intelligence in Medical Imaging, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
| | - Marcel Daamen
- Functional Neuroimaging Group, Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
- Department of Neonatology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Henning Boecker
- Functional Neuroimaging Group, Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
| | - Josef Priller
- Department of Psychiatry, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
| | - Dieter Wolke
- Department of Psychology, University of Warwick, University Road, Coventry CV4 7AL, UK
- Warwick Medical School, University of Warwick, University Road, Coventry CV4 7AL, UK
| | - Peter Bartmann
- Department of Neonatology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Christian Sorg
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
- Department of Psychiatry, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
| | - Dennis M Hedderich
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany
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Dubois J, Lefèvre J, Angleys H, Leroy F, Fischer C, Lebenberg J, Dehaene-Lambertz G, Borradori-Tolsa C, Lazeyras F, Hertz-Pannier L, Mangin JF, Hüppi PS, Germanaud D. The dynamics of cortical folding waves and prematurity-related deviations revealed by spatial and spectral analysis of gyrification. Neuroimage 2018. [PMID: 29522888 DOI: 10.1016/j.neuroimage.2018.03.005] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
In the human brain, the appearance of cortical sulci is a complex process that takes place mostly during the second half of pregnancy, with a relatively stable temporal sequence across individuals. Since deviant gyrification patterns have been observed in many neurodevelopmental disorders, mapping cortical development in vivo from the early stages on is an essential step to uncover new markers for diagnosis or prognosis. Recently this has been made possible by MRI combined with post-processing tools, but the reported results are still fragmented. Here we aimed to characterize the typical folding progression ex utero from the pre- to the post-term period, by considering 58 healthy preterm and full-term newborns and infants imaged between 27 and 62 weeks of post-menstrual age. Using a method of spectral analysis of gyrification (SPANGY), we detailed the spatial-frequency structure of cortical patterns in a quantitative way. The modeling of developmental trajectories revealed three successive waves that might correspond to primary, secondary and tertiary folding. Some deviations were further detected in 10 premature infants without apparent neurological impairment and imaged at term equivalent age, suggesting that our approach is sensitive enough to highlight the subtle impact of preterm birth and extra-uterine life on folding.
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Affiliation(s)
- Jessica Dubois
- INSERM, UMR992, CEA, NeuroSpin Center, University Paris Saclay, Gif-sur-Yvette, France.
| | - Julien Lefèvre
- Institut de Neurosciences de la Timone, CNRS UMR7289, Aix-Marseille University, Marseille, France
| | - Hugo Angleys
- INSERM, UMR992, CEA, NeuroSpin Center, University Paris Saclay, Gif-sur-Yvette, France
| | - François Leroy
- INSERM, UMR992, CEA, NeuroSpin Center, University Paris Saclay, Gif-sur-Yvette, France
| | - Clara Fischer
- CEA, NeuroSpin Center, UNATI, University Paris Saclay, Gif-sur-Yvette, France
| | - Jessica Lebenberg
- INSERM, UMR992, CEA, NeuroSpin Center, University Paris Saclay, Gif-sur-Yvette, France; CEA, NeuroSpin Center, UNATI, University Paris Saclay, Gif-sur-Yvette, France
| | | | | | | | | | | | - Petra S Hüppi
- Geneva University Hospitals, Department of Pediatrics, Switzerland
| | - David Germanaud
- CEA, NeuroSpin, UNIACT, Neuropediatry Team, Gif-sur-Yvette, France; INSERM, Sorbonne Paris Cité University (USPC), CEA, UMR 1129, Paris, France; Paris Diderot University (USPC), AP-HP, Robert-Debré Hospital, DHU Protect, Department of Pediatric Neurology and Metabolic Diseases, Paris, France
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Parikh NA. Advanced neuroimaging and its role in predicting neurodevelopmental outcomes in very preterm infants. Semin Perinatol 2016; 40:530-541. [PMID: 27863706 PMCID: PMC5951398 DOI: 10.1053/j.semperi.2016.09.005] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Up to 35% of very preterm infants survive with neurodevelopmental impairments (NDI) such as cognitive deficits, cerebral palsy, and attention deficit disorder. Advanced MRI quantitative tools such as brain morphometry, diffusion MRI, magnetic resonance spectroscopy, and functional MRI at term-equivalent age are ideally suited to improve current efforts to predict later development of disabilities. This would facilitate application of targeted early intervention therapies during the first few years of life when neuroplasticity is optimal. A systematic search and review identified 47 published studies of advanced MRI to predict NDI. Diffusion MRI and morphometry studies were the most commonly studied modalities. Despite several limitations, studies clearly showed that brain structural and metabolite biomarkers are promising independent predictors of NDI. Large representative multicenter studies are needed to validate these studies.
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Affiliation(s)
- Nehal A. Parikh
- Perinatal Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH,Correspondence address: Cincinnati Children’s Hospital, Perinatal Institute, 3333 Burnet Ave., MLC 7009, Cincinnati, OH.
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Shimony JS, Smyser CD, Wideman G, Alexopoulos D, Hill J, Harwell J, Dierker D, Van Essen DC, Inder TE, Neil JJ. Comparison of cortical folding measures for evaluation of developing human brain. Neuroimage 2015; 125:780-790. [PMID: 26550941 DOI: 10.1016/j.neuroimage.2015.11.001] [Citation(s) in RCA: 69] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2015] [Revised: 10/27/2015] [Accepted: 11/01/2015] [Indexed: 10/22/2022] Open
Abstract
We evaluated 22 measures of cortical folding, 20 derived from local curvature (curvature-based measures) and two based on other features (sulcal depth and gyrification index), for their capacity to distinguish between normal and aberrant cortical development. Cortical surfaces were reconstructed from 12 term-born control and 63 prematurely-born infants. Preterm infants underwent 2-4 MR imaging sessions between 27 and 42weeks postmenstrual age (PMA). Term infants underwent a single MR imaging session during the first postnatal week. Preterm infants were divided into two groups. One group (38 infants) had no/minimal abnormalities on qualitative assessment of conventional MR images. The second group (25 infants) consisted of infants with injury on conventional MRI at term equivalent PMA. For both preterm infant groups, all folding measures increased or decreased monotonically with increasing PMA, but only sulcal depth and gyrification index differentiated preterm infants with brain injury from those without. We also compared scans obtained at term equivalent PMA (36-42weeks) for all three groups. No curvature-based measured distinguished between the groups, whereas sulcal depth distinguished term control from injured preterm infants and gyrification index distinguished all three groups. When incorporating total cerebral volume into the statistical model, sulcal depth no longer distinguished between the groups, though gyrification index distinguished between all three groups and positive shape index distinguished between the term control and uninjured preterm groups. We also analyzed folding measures averaged over brain lobes separately. These results demonstrated similar patterns to those obtained from the whole brain analyses. Overall, though the curvature-based measures changed during this period of rapid cerebral development, they were not sensitive for detecting the differences in folding associated with brain injury and/or preterm birth. In contrast, gyrification index was effective in differentiating these groups.
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Affiliation(s)
- Joshua S Shimony
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 660 South Euclid Ave., St. Louis, MO 63110, USA.
| | - Christopher D Smyser
- Department of Pediatric Neurology, Washington University School of Medicine, 660 South Euclid Ave., St. Louis, MO 63110, USA.
| | - Graham Wideman
- Boston Children's Hospital, Department of Neurology, 333 Longwood Ave., Boston, MA 02115, USA.
| | - Dimitrios Alexopoulos
- Department of Pediatric Neurology, Washington University School of Medicine, 660 South Euclid Ave., St. Louis, MO 63110, USA.
| | - Jason Hill
- Department of Anatomy and Neurobiology, Washington University School of Medicine, 660 South Euclid Ave., St. Louis, MO 63110, USA.
| | - John Harwell
- Department of Anatomy and Neurobiology, Washington University School of Medicine, 660 South Euclid Ave., St. Louis, MO 63110, USA.
| | - Donna Dierker
- Department of Anatomy and Neurobiology, Washington University School of Medicine, 660 South Euclid Ave., St. Louis, MO 63110, USA.
| | - David C Van Essen
- Department of Anatomy and Neurobiology, Washington University School of Medicine, 660 South Euclid Ave., St. Louis, MO 63110, USA.
| | - Terrie E Inder
- Department of Pediatrics, Washington University School of Medicine, 660 South Euclid Ave., St. Louis, MO 63110, USA.
| | - Jeffrey J Neil
- Department of Pediatric Neurology, Washington University School of Medicine, 660 South Euclid Ave., St. Louis, MO 63110, USA.
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