An analysis of MRI derived cortical complexity in premature-born adults: Regional patterns, risk factors, and potential significance

Dennis M. Hedderich*, Josef G. Bäuml, Aurore Menegaux, Mihai Avram, Marcel Daamen, Claus Zimmer, Peter Bartmann, Lukas Scheef, Henning Boecker, Dieter Wolke, Christian Gaser, Christian Sorg

*Corresponding author for this work

Abstract

Premature birth bears an increased risk for aberrant brain development concerning its structure and function. Cortical complexity (CC) expresses the fractal dimension of the brain surface and changes during neurodevelopment. We hypothesized that CC is altered after premature birth and associated with long-term cognitive development. One-hundred-and-one very premature-born adults (gestational age <32 weeks and/or birth weight <1500 ​g) and 111 term-born adults were assessed by structural MRI and cognitive testing at 26 years of age. CC was measured based on MRI by vertex-wise estimation of fractal dimension. Cognitive performance was measured based on Griffiths-Mental-Development-Scale (at 20 months) and Wechsler-Adult-Intelligence-Scales (at 26 years). In premature-born adults, CC was decreased bilaterally in large lateral temporal and medial parietal clusters. Decreased CC was associated with lower gestational age and birth weight. Furthermore, decreased CC in the medial parietal cortices was linked with reduced full-scale IQ of premature-born adults and mediated the association between cognitive development at 20 months and IQ in adulthood. Results demonstrate that CC is reduced in very premature-born adults in temporoparietal cortices, mediating the impact of prematurity on impaired cognitive development. These data indicate functionally relevant long-term alterations in the brain's basic geometry of cortical organization in prematurity.

Original languageEnglish
Article number116438
JournalNeuroImage
Volume208
ISSN1053-8119
DOIs
Publication statusPublished - 03.2020

Funding

This work was supported by the Deutsche Forschungsgemeinschaft (SO 1336/1-1 to C.S.), German Federal Ministry of Education and Science ( BMBF 01ER0801 to P.B. and D.W., BMBF 01ER0803 to C.S.) and the Kommission für Klinische Forschung, Technische Universität München ( KKF 8765162 to C.S. and KKF8700000474 to D.M.H.). We thank all current and former members of the Bavarian Longitudinal Study Group who contributed to general study organization, recruitment, and data collection, management and subsequent analyses, including (in alphabetical order): Barbara Busch, Stephan Czeschka, Claudia Grünzinger, Christian Koch, Diana Kurze, Sonja Perk, Andrea Schreier, Antje Strasser, Julia Trummer, and Eva van Rossum. We are grateful to the staff of the Department of Neuroradiology in Munich and the Department of Radiology in Bonn for their help in data collection. Most importantly, we thank all our study participants and their families for their efforts to take part in this study. This work was supported by the Deutsche Forschungsgemeinschaft (SO 1336/1-1 to C.S.), German Federal Ministry of Education and Science (BMBF 01ER0801 to P.B. and D.W. BMBF 01ER0803 to C.S.) and the Kommission für Klinische Forschung, Technische Universität München (KKF 8765162 to C.S. and KKF8700000474 to D.M.H.).

FundersFunder number
Department of Neuroradiology in Munich
Eva van Rossum
Kommission für Klinische Forschung
Department of Radiology, Weill Cornell Medical College
Deutsche ForschungsgemeinschaftSO 1336/1-1
Bundesministerium für Bildung und Forschung01ER0801, 01ER0803
Technical University of MunichKKF8700000474, KKF 8765162
Federalno Ministarstvo Obrazovanja i Nauke

    Fingerprint

    Dive into the research topics of 'An analysis of MRI derived cortical complexity in premature-born adults: Regional patterns, risk factors, and potential significance'. Together they form a unique fingerprint.

    Cite this