Different Brain Phenotypes in Magnetic Resonance Imaging of Healthy Children after Prenatal Insults.
magnetic resonance imaging
maternal behavior/drug effects
preterm birth
small for gestational age
Journal
Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402
Informations de publication
Date de publication:
10 Nov 2022
10 Nov 2022
Historique:
received:
08
09
2022
revised:
29
10
2022
accepted:
08
11
2022
entrez:
11
11
2022
pubmed:
12
11
2022
medline:
12
11
2022
Statut:
epublish
Résumé
In this study, we used magnetic resonance imaging (MRI) to identify the different brain phenotypes within apparently healthy children and to evaluate whether these phenotypes had different prenatal characteristics. We included 65 healthy children (mean age, 10 years old) with normal neurological examinations and without structural abnormalities. We performed cluster analyses to identify the different brain phenotypes in the brain MRI images. We performed descriptive analyses, including demographic and perinatal characteristics, to assess the differences between the clusters. We identified two clusters: Cluster 1, or the “small brain phenotype” (n = 44), which was characterized by a global reduction in the brain volumes, with smaller total intracranial volumes (1044.53 ± 68.37 vs. 1200.87 ± 65.92 cm3 (p < 0.001)), total grey-matter volumes (644.65 ± 38.85 vs. 746.79 ± 39.37 cm3 (p < 0.001)), and total white-matter volumes (383.68 ± 40.17 vs. 443.55 ± 36.27 cm3 (p < 0.001)), compared with Cluster 2, or the “normal brain phenotype” (n = 21). Moreover, almost all the brain areas had decreased volumes, except for the ventricles, caudate nuclei, and pallidum areas. The risk of belonging to “the small phenotype” was 82% if the child was preterm, 76% if he/she was born small for his/her gestational age and up to 80% if the mother smoked during the pregnancy. However, preterm birth appears to be the only substantially significant risk factor associated with decreased brain volumes.
Identifiants
pubmed: 36359591
pii: diagnostics12112748
doi: 10.3390/diagnostics12112748
pmc: PMC9689447
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Instituto de Salud Carlos III
ID : JR19/00006
Organisme : Instituto de Salud Carlos III
ID : PI11/02430
Organisme : Subdirección General de Evaluación y Fomento de la Investigación y Fondo Europeo de Desar-rollo Regional (FEDER) Aragón 2014-2020
ID : NA
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