A connectome‐based approach to assess motor outcome after neonatal arterial ischemic stroke

Annals of Clinical and Translational Neurology

the AVCnn study group¹  Thijs Dhollander²  Samuel Groeschel³  Pablo Pretzel³  François Rousseau⁴  Stéphane Chabrier⁵  Julien Lefevre⁶  Lucie Hertz‐Pannier⁷  Mickael Dinomais⁸  Mariam Al Harrach⁸ 

[1] ;Developmental Imaging Murdoch Children's Research Institute Melbourne Australia;Experimental Paediatric Neuroimaging Department of Child Neurology University Hospital Tübingen Tübingen Germany;IMT AtlantiqueINSERM U1101 LaTIMUBL Brest29200France;INSERMUMR1059 SainbioseUniv Saint‐ÉtienneUniv Lyon Saint‐ÉtienneF‐42023France;Institut de Neurosciences de la Timone UMR 7289Aix Marseille UniversitéCNRS Marseille13385France;UNIACTNeurospinInstitut JoliotCEA‐Paris SaclayInserm U114Université de Paris Gif sur YvetteF‐91191France;Université d'AngersLaboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS) EA7315 Angers49000France;

关键词: box and block test;    cerebral palsy;    connectome;    diffusion weighted imaging;    MRI;    Neonatal arterial ischemic stroke;   

DOI  :  10.1002/acn3.51292

来源: DOAJ

【 摘 要 】

Abstract Objective Studies of motor outcome after Neonatal Arterial Ischemic Stroke (NAIS) often rely on lesion mapping using MRI. However, clinical measurements indicate that motor deficit can be different than what would solely be anticipated by the lesion extent and location. Because this may be explained by the cortical disconnections between motor areas due to necrosis following the stroke, the investigation of the motor network can help in the understanding of visual inspection and outcome discrepancy. In this study, we propose to examine the structural connectivity between motor areas in NAIS patients compared to healthy controls in order to define the cortical and subcortical connections that can reflect the motor outcome. Methods Thirty healthy controls and 32 NAIS patients with and without Cerebral Palsy (CP) underwent MRI acquisition and manual assessment. The connectome of all participants was obtained from T1‐weighted and diffusion‐weighted imaging. Results Significant disconnections in the lesioned and contra‐lesioned hemispheres of patients were found. Furthermore, significant correlations were detected between the structural connectivity metric of specific motor areas and manuality assessed by the Box and Block Test (BBT) scores in patients. Interpretation Using the connectivity measures of these links, the BBT score can be estimated using a multiple linear regression model. In addition, the presence or not of CP can also be predicted using the KNN classification algorithm. According to our results, the structural connectome can be an asset in the estimation of gross manual dexterity and can help uncover structural changes between brain regions related to NAIS.

【 授权许可】

Unknown