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. 2014 Jun 12;87(1039):20140086. doi: 10.1259/bjr.20140086

Table 3.

MRI studies of structural brain networks in atypical development

Study Condition/subjects Connectivity measure Parcellation Network changes with condition/outcome
Batalle et al41 IUGR/42 subjects + 41 controls, scanned at 12 ± 2 months DTI 93 nodes, AAL adapted to1 year-old population42 Decreased global and local weighted efficiency; a pattern of altered regional graph theory features; correlation of connectivity measures with BSID-III at 2 years
Tymofiyeva et al43 HIE/17 subjects, scanned at 6 months DTI 40 nodes, template-free (1) equal-area sphere partitioning; (2) “gridded” parcellation into regions of equal spatial extent A trend of declining brain network integration and segregation with increasing neuromotor deficit scores
Pandit et al44 Pre-mature birth/49 subjects, scanned at 11–31 months DTI, probabilistic tracking 83 nodes, manual segmentation of adult brains45 Lower connection strength in tracts involving all cortical lobes and several subcortical structures with increasing pre-maturity at birth
Pannek et al46 Pre-mature birth/9 term neonates, 18 pre-term-born infants DTI, probabilistic tracking 48 nodes, John Hopkins University neonate space47 Affected components of the network identified using NBS48 mainly involved left frontal and temporal cortical areas
Shi et al49 Autism/49 subjects + 51 controls, scanned at 6–15 years Cortical thickness correlations 68 nodes, Freesurfer, Desikan–Killiany cortical atlas50 Reduced network modularity; a larger number of intermodule connections; increased intra- and inter-module connectivity in middle frontal gyrus, inferior parietal gyrus and cingulate
Ziv et al51 HIE/24 subjects, scanned at 6 months DTI 100 nodes, template-free equal-area sphere partitioning Separating normal and abnormal outcome using a machine learning approach

AAL, anatomical automatic labelling atlas; BSID-III, Bayley scale for infancy and toddler development, 3rd ed.; DTI, diffusion tensor imaging; HIE, hypoxic ischaemic encephalopathy; IUGR, intrauterine growth restriction; NBS, network-based statistics.