Abstract: Functional Network Development in Sagittal Craniosynostosis Treated with Whole Vault Cranioplasty
Notice bibliographique
Résumé
PURPOSE: The purpose of this study is to understand the neurological changes before and after (infants and adolescents) whole vault cranioplasty (WVC) for patients born with sagittal craniosynostosis, by studying aberrations in functional brain connectivity and white matter microstructure utilizing functional MRI (fMRI) and diffusion tension imaging (DTI), respectively. METHODS: A case control study was performed that included thirty fMRI scans, from twenty-five individual patients. Five infant patients before (5 ± 2 months of age) and after (9 ± 2 months of age) underwent data collection by fMRI and DTI data in WVC for patients born with sagittal cranisynostosis. Patients on average were operated on at age 6 ± 2 months. Ten adolescent patients (12.1 years of age) that have been diagnosed with sagittal craniosynostosis and treated with a whole vault cranioplasty and ten age-matched controls were also scanned. fMRI data was analyzed with BioImageSuite (Yale University, USA). The fMRI images were registered to Montreal Neurological Institute (MNI) space. All nine functional networks were analyzed with appropriate regions of interest were utilized for analysis. For the DTI data, three diffusion runs were averaged, processed utilizing FMRIB Software Library (Oxford University, UK). RESULTS: Comparing the infants after WVC vs. infants before WVC group, after WVC demonstrated a increased connectivity in the left frontoparietal (LFPN) in the right (MNI: 37,6,2) and left (MNI: -35,9,3) insula, right putamen (MNI: 32,3,2), and inferior frontal gyrus (MNI: -39,5,8) (p<0.001). The right frontoparietal (RFPN) had decreased connectivity despite surgery in the left dorsal (MNI: -6,-53,39) and ventral (MNI: -2,-53,26) posterior cingulate (p<0.001). The secondary (V2) and third (V3) visual network has increased connectivity despite surgery in the insula (MNI: 37,-2,10), inferior frontal gyrus (MNI: -42,9,7), and right putamen (MNI: 30,-6,7) (p<0.001). There is also a decrease and increase in anisotropy, measure of brain maturity, in the cingulum and precuneus after surgery, respectively (p<0.05). Adolescents treated with WVC compared to controls, demonstrated an increased connectivity in the salience network in the left insula (MNI: -37,6,-6) and decreased connectivity in the RFPN network in the right BA7 (MNI: 32,-44,55), right sensory association cortex (MNI: 24,-44,51), and right primary sensory cortex (MNI: 24,-41,44) relative to adolescent controls. CONCLUSION: Patients born with sagittal craniosynostosis have abnormal connections in infancy in most of the neural networks compared to controls. There are specific connectivity changes that occur in the RFPN, LFPN, V2, and V3 networks, areas associated with executive function and emotional control, three months after surgery. Changes in anisotropy, measure of white matter tract microstructure, correlate with changes in functional connectivity of areas of the brain connected by white matter tracts after surgery relative to before. Surgery may produce positive changes in the brain microstructure, which could be leading to changes in neural connectivity in the brains of children born with craniosynostosis. As the child develops into adolescence, much of the abnormal network connections seen in infancy correct compared to age-matched controls. However some aberrancies remain in the SA and RFPN network and these residual irregularities may be best handled by other medical therapies.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
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