Feature similarity gradients detect alterations in the neonatal cortex associated with preterm birth
- Paola Galdi 1,2, Manuel Blesa Cabez 1, Christine Farrugia 3,4, Kadi Vaher 1, Logan Z J Williams 5,6, Gemma Sullivan 1,7, David Q Stoye 1, Alan J Quigley 8, Antonios Makropoulos 5, Michael J Thrippleton 7, Mark E Bastin 7, Hilary Richardson 9, Heather Whalley 7,10, A David Edwards 5,11, Claude J Bajada 4,12, Emma C Robinson 5,6, James P Boardman 1,7
- Paola Galdi 1,2, Manuel Blesa Cabez 1, Christine Farrugia 3,4
- 1MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK.
- 2School of Informatics, University of Edinburgh, Edinburgh, UK.
- 3Faculty of Engineering, University of Malta, Valletta, Malta.
- 4University of Malta Magnetic Resonance Imaging Platform (UMRI), Valletta, Malta.
- 5Centre for the Developing Brain, King's College London, London, UK.
- 6School of Biomedical Engineering and Imaging Science, King's College London, London, UK.
- 7Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
- 8Royal Hospital for Children & Young People, Edinburgh, UK.
- 9School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK.
- 10Centre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, UK.
- 11MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK.
- 12Department of Physiology and Biochemistry, Faculty of Medicine and Surgery, University of Malta, Valletta, Malta.
- 0MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK.
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View abstract on PubMed
Summary
This summary is machine-generated.Preterm birth alters brain development, leading to widespread microstructural homogeneity in infant brains. This finding impacts understanding of early life environmental effects on cortical organization and long-term cognitive health.
Area Of Science
- Neuroscience
- Developmental Biology
- Medical Imaging
Background
- Early life environments significantly influence brain development and cognitive function throughout life.
- Understanding the perinatal origins of cortical health is crucial but hindered by a lack of comprehensive measures for cortical organization.
- Multimodal magnetic resonance imaging (MRI) data integration for a detailed cortical microstructure analysis remains a challenge.
Purpose Of The Study
- To develop and apply a novel measure, the Vogt-Bailey index, for fine-grained description of cortical microstructure.
- To investigate the impact of preterm birth on cortical development at term-equivalent age.
- To identify specific patterns of cortical alteration in preterm infants.
Main Methods
- Utilized the Vogt-Bailey index, a novel measure analyzing feature gradients for regional cortical microstructure homogeneity and variations.
- Employed multimodal MRI data from two independent infant datasets.
- Compared cortical microstructure between preterm-born infants and term-born controls at term-equivalent age.
Main Results
- Preterm infants exhibited a more homogeneous cortical microstructure compared to term-born controls.
- This microstructural homogeneity was observed in specific regions including the temporal, occipital, medial parietal, cingulate, and frontal cortices.
- Findings were consistent across two independent datasets and robust to data processing and quality control variations.
Conclusions
- Cortical microstructural alterations in preterm infants are spatially distributed rather than localized.
- The Vogt-Bailey index provides a valuable tool for assessing fine-grained cortical organization and its developmental trajectories.
- These findings highlight the pervasive impact of preterm birth on early brain development.
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