Machine-learning to characterise neonatal functional connectivity in the preterm brain-Reference-Cited by-同舟云学术

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Machine-learning to characterise neonatal functional connectivity in the preterm brain

Published:2016-01 Issue: Volume:124 Page:267-275
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Ball G.,Aljabar P.,Arichi T.,Tusor N.,Cox D.,Merchant N.,Nongena P.,Hajnal J.V.,Edwards A.D.,Counsell S.J.

Funder

National Institute for Health Research (NIHR)

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference73 articles.

1. Group-ICA model order highlights patterns of functional brain connectivity;Abou Elseoud;Front. Syst. Neurosci.,2011

2. The subplate, a transient neocortical structure: its role in the development of connections between thalamus and cortex;Allendoerfer;Annu. Rev. Neurosci.,1994

3. Tract shape modeling detects changes associated with preterm birth and neuroprotective treatment effects;Anblagan;NeuroImage Clin.,2015

4. Diffusion tensor imaging with tract-based spatial statistics reveals local white matter abnormalities in preterm infants;Anjari;NeuroImage,2007

5. Development of BOLD signal hemodynamic responses in the human brain;Arichi;NeuroImage,2012

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