Aperiodic parameters of the fMRI power spectrum associate with preterm birth and neonatal age.
Authors
Affiliations (18)
Affiliations (18)
- FinnBrain Birth Cohort Study, Department of Clinical Medicine, Turku Brain and Mind Center, University of Turku, Turku, Finland. [email protected].
- Department of Psychiatry, Turku University Hospital and University of Turku, Turku, Finland. [email protected].
- Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland. [email protected].
- FinnBrain Birth Cohort Study, Department of Clinical Medicine, Turku Brain and Mind Center, University of Turku, Turku, Finland.
- Department of Psychiatry, Turku University Hospital and University of Turku, Turku, Finland.
- Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland.
- Department of Pediatric Neurology, Turku University Hospital, University of Turku, Turku, Finland.
- Department of Psychology and Speech Language Pathology, University of Turku, Turku, Finland.
- Department of Computing, University of Turku, Turku, Finland.
- Department of Diagnostic Radiology, University of Turku, Turku, Finland.
- Department of Clinical Medicine, Unit of Public Health, University of Turku, Turku, Finland.
- Department of Child Psychiatry, Turku University Hospital, Turku, Finland.
- Centre for Eudaimonia and Human Flourishing, Linacre College, University of Oxford, Oxford, UK.
- Department of Psychiatry, University of Oxford, Oxford, UK.
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
- Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
- Turku Collegium for Science, Medicine and Technology, University of Turku, Turku, Finland.
Abstract
Perinatal period is a critical time for brain development and premature-born children have an elevated likelihood for neurodevelopmental conditions. While strong associations of structural magnetic resonance imaging with preterm birth and post-menstrual age (PMA) have been reported, results with functional MRI (fMRI) have been considerably weaker. Using the task-free neonatal fMRI dataset from the Developing Human Connectome Project (dHCP), we first studied the associations of the aperiodic component of the blood-oxygen-level-dependent (BOLD) signal power spectrum from pre- and postcentral gyri with preterm birth and mapped the associations with PMA, postnatal age, and sex, and found clear differences between preterm and full-term groups, as well as males and females. Second, we used machine learning regression to predict participants' age from the aperiodic parameters of the BOLD signal from 90 cortical and subcortical regions of interest with relatively high accuracy (test R<sup>2</sup>'s 0.20-0.41).