Table 2.
MRI studies of structural brain networks in typical development
Study | Subjects | Connectivity measure | Parcellation | Network changes with age |
---|---|---|---|---|
Hagmann et al32 | 30 subjects: 18 months to 18 years | DTI and q-ball | 66 or 241 nodes, landmark-based | Global efficiency ↑, clustering ↓, small-worldness ↓ |
Fan et al33 | 28 subjects: 1 month, 1 year, 2 years longit. + 27 adults | Grey matter volume correlation | 90 nodes, AAL34 | Global efficiency ↑, modularity ↑ from 1 to 2 years |
Yap et al35 | 39 subjects: 2 weeks, 1 year, 2 years longit. | DTI | 78 nodes, AAL34 | Global efficiency constant, local efficiency ↑ |
Dennis et al36 | 102 subjects: 12 years, 16 years + 337 adults | HARDI | 70 nodes, gyral-based | Global efficiency ↑, clustering ↓, small-worldness ↓, modularity ↓ |
Huang et al37 | 25 neonates, 13 toddlers, 25 pre-adolescents + 18 adults | DTI, probabilistic tracking | 80 nodes, AAL,34 adult ICBM-152 template38 | Global efficiency ↑, clustering ↓, small-worldness ↓ |
Khundrakpam et al39 | 203 subjects: 5–8, 8–11, 11–15 and 15–18 years | Cortical thickness covariance | 78 nodes, AAL34 | Local efficiency ↓, modularity ↓, global efficiency ↑ in late childhood |
Tymofiyeva et al40 | 26 subjects: pre-term, term 1–14 days, 6 months + 7 adults | DTI | 100 nodes, template-free equal-area sphere partitioning | Global efficiency ↑, clustering ↓, modularity ↓, small-worldness ↓ (except pre-term) |
AAL, anatomical automatic labelling atlas; DTI, diffusion tensor imaging; ICBM, International Consortium for Brain Mapping; HARDI, high angular resolution diffusion imaging; longit., longitudinal.