Literature DB >> 16503393

Factor analysis of neuroanatomical and clinical characteristics of holoprosencephaly.

Jin S Hahn1, A James Barkovich, Elaine E Stashinko, Steve L Kinsman, Mauricio R Delgado, Nancy J Clegg.   

Abstract

The objective of this study is to better understand the relationship between neuroradiologic and clinical characteristics in holoprosencephaly (HPE) using the multivariate analysis called factor analysis. HPE is a brain malformation characterized by incomplete cleavage of the cerebral hemispheres and deep gray structures. We performed evaluations on 89 children with HPE that included their history, developmental assessment, and physical examination. Ten clinical variables included in factor analysis were the grade of spasticity, dystonia, choreoathetosis, hypotonia, mobility, upper extremity/hand function, expressive language, feeding/swallowing difficulty, endocrinopathies, and temperature dysregulation. Five neuroimaging variables graded by pediatric neuroradiologists were the grade of HPE (from least to most severe: lobar, semilobar, and alobar) and the degree of non-separation of caudate, lentiform, thalamic, and hypothalamic nuclei. Factor analysis using principle component extraction and varimax rotation was utilized. Four significant factors were identified: (1) neuroimaging/developmental factor, (2) motor factor, (3) hypothalamic/oromotor factor, and (4) hypotonia factor. These four factors accounted for 65.2% of the variance. In this factor analysis of HPE patients, we were able to reduce the large number of clinical and radiological variables into four factors. These factors and the constructs underlying them provide structure to the data and provide key parameters for future studies involving neurodevelopmental outcomes in HPE.

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Year:  2006        PMID: 16503393     DOI: 10.1016/j.braindev.2005.09.008

Source DB:  PubMed          Journal:  Brain Dev        ISSN: 0387-7604            Impact factor:   1.961


  7 in total

Review 1.  Cerebral malformations without antenatal diagnosis.

Authors:  Nadine J Girard
Journal:  Pediatr Radiol       Date:  2010-04-30

2.  Shh and Gli3 regulate formation of the telencephalic-diencephalic junction and suppress an isthmus-like signaling source in the forebrain.

Authors:  Brian G Rash; Elizabeth A Grove
Journal:  Dev Biol       Date:  2011-09-07       Impact factor: 3.582

3.  TGIF Mutations in Human Holoprosencephaly: Correlation between Genotype and Phenotype.

Authors:  A A Keaton; B D Solomon; E F Kauvar; K B El-Jaick; A L Gropman; Y Zafer; J M Meck; S J Bale; D K Grange; B R Haddad; G C Gowans; N J Clegg; M R Delgado; J S Hahn; D E Pineda-Alvarez; F Lacbawan; J I Vélez; E Roessler; M Muenke
Journal:  Mol Syndromol       Date:  2011-05-18

4.  Clinical spectrum of SIX3-associated mutations in holoprosencephaly: correlation between genotype, phenotype and function.

Authors:  F Lacbawan; B D Solomon; E Roessler; K El-Jaick; S Domené; J I Vélez; N Zhou; D Hadley; J Z Balog; R Long; A Fryer; W Smith; S Omar; S D McLean; K Clarkson; A Lichty; N J Clegg; M R Delgado; E Levey; E Stashinko; L Potocki; M I Vanallen; J Clayton-Smith; D Donnai; D W Bianchi; P B Juliusson; P R Njølstad; H G Brunner; J C Carey; U Hehr; J Müsebeck; P F Wieacker; A Postra; R C M Hennekam; M-J H van den Boogaard; A van Haeringen; A Paulussen; J Herbergs; C T R M Schrander-Stumpel; A R Janecke; D Chitayat; J Hahn; D M McDonald-McGinn; E H Zackai; W B Dobyns; M Muenke
Journal:  J Med Genet       Date:  2009-04-02       Impact factor: 6.318

5.  Holoprosencephaly: antenatal and postnatal diagnosis and outcome.

Authors:  Chandrasekaran Kaliaperumal; Sam Ndoro; Tafadzwa Mandiwanza; F Reidy; F McAuliffe; John Caird; Darach Crimmins
Journal:  Childs Nerv Syst       Date:  2016-01-15       Impact factor: 1.475

Review 6.  Analysis of genotype-phenotype correlations in human holoprosencephaly.

Authors:  Benjamin D Solomon; Sandra Mercier; Jorge I Vélez; Daniel E Pineda-Alvarez; Adrian Wyllie; Nan Zhou; Christèle Dubourg; Veronique David; Sylvie Odent; Erich Roessler; Maximilian Muenke
Journal:  Am J Med Genet C Semin Med Genet       Date:  2010-02-15       Impact factor: 3.908

Review 7.  Multivariate analyses applied to fetal, neonatal and pediatric MRI of neurodevelopmental disorders.

Authors:  Jacob Levman; Emi Takahashi
Journal:  Neuroimage Clin       Date:  2015-10-03       Impact factor: 4.881

  7 in total

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