000171311 001__ 171311
000171311 005__ 20260520092808.0
000171311 0247_ $$2doi$$a10.3390/diagnostics12112748
000171311 0248_ $$2sideral$$a149332
000171311 037__ $$aART-2022-149332
000171311 041__ $$aeng
000171311 100__ $$aPaules, Cristina
000171311 245__ $$aDifferent Brain Phenotypes in Magnetic Resonance Imaging of Healthy Children after Prenatal Insults
000171311 260__ $$c2022
000171311 5060_ $$aAccess copy available to the general public$$fUnrestricted
000171311 5203_ $$aIn 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.
000171311 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000171311 590__ $$a3.6$$b2022
000171311 591__ $$aMEDICINE, GENERAL & INTERNAL$$b64 / 169 = 0.379$$c2022$$dQ2$$eT2
000171311 592__ $$a0.67$$b2022
000171311 593__ $$aClinical Biochemistry$$c2022$$dQ2
000171311 594__ $$a3.6$$b2022
000171311 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000171311 700__ $$aPérez Roche, María Teresa
000171311 700__ $$aMarin, Miguel Angel
000171311 700__ $$aFayed, Nicolás
000171311 700__ $$aGarcía-Martí, Gracián
000171311 700__ $$aPisón, Javier López
000171311 700__ $$aOros, Daniel
000171311 700__ $$0(orcid)0000-0002-1777-0349$$aPueyo, Victoria$$uUniversidad de Zaragoza
000171311 7102_ $$11013$$2646$$aUniversidad de Zaragoza$$bDpto. Cirugía$$cÁrea Oftalmología
000171311 773__ $$g12, 11 (2022), 2748$$tDiagnostics$$x2075-4418
000171311 8564_ $$s1646553$$uhttps://zaguan.unizar.es/record/171311/files/texto_completo.pdf$$yVersión publicada
000171311 8564_ $$s2652513$$uhttps://zaguan.unizar.es/record/171311/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000171311 909CO $$ooai:zaguan.unizar.es:171311$$particulos$$pdriver
000171311 951__ $$a2026-05-20-08:32:04
000171311 980__ $$aARTICLE