TY - JOUR
T1 - Imprints of extreme prematurity on functional brain networks in school-aged children and adolescents
AU - Tokariev, Maksym
AU - Vuontela, Virve
AU - Tokariev, Anton
AU - Lönnberg, Piia
AU - Andersson, Sture
AU - Mäenpää, Helena
AU - Metsäranta, Marjo
AU - Lano, Aulikki
AU - Carlson, Synnöve
N1 - Publisher Copyright:
© 2025
PY - 2025/10/15
Y1 - 2025/10/15
N2 - Cognitive functions emerge from dynamic functional interplay of cortical and subcortical areas that form networks. Preterm birth poses a risk for the formation and functionality of brain networks which may lead to severe brain dysfunctions. Infants born extremely preterm have the highest risk of developing neurocognitive impairments. However, it is still poorly understood how functional brain networks are organized and linked with the cognitive impairments in extremely prematurely born children and adolescents. We applied network-based statistics to study functional network connectivity during two brain-states, resting-state (Rest) and visuospatial working memory n-back tasks (Task), in a unique cohort of extremely preterm-born school-aged children and adolescents (n = 24, mean age 10.3 y, range 7.4–16.4 y) with normal general cognitive abilities and in their term-born peers (n = 22, mean age 9.5 y, range 7.4–13.7 y). We found significant group differences in functional connectivity strength in networks that support complex cognitive performance. The preterm group, compared with controls, modulated functional connectivity between Rest and Task differently within the dorsal attention (DAN, p = 0.016), default mode (DMN, p = 0.026) and visual (VN, p = 0.022) networks, and between DMN – DAN (p = 0.024), DMN – ventral attention network (VAN) (p = 0.035), and DMN – frontoparietal network (FPN) (p = 0.015). The groups also showed opposite age-related changes in connectivity strength within the DAN (Task, p = 0.005; Rest, p = 0.012), DMN (Task, p = 0.015) and FPN (Task, p = 0.002), and between the DAN – VAN (p = 0.047) and DAN – FPN (p = 0.009) during Rest, and FPN – VAN (p =0.028), DAN – FPN (p = 0.006), DMN – DAN (p = 0.042), DMN – VAN (p = 0.023), and DMN – FPN (p = 0.007) during Task. In controls, stronger within-network connectivity associated with better n-back task performance, whereas in the preterm group, stronger between-network connectivity associated with poorer performance. These results suggest that adjustment of functional connectivity to the cognitive demands supports successful performance in school-aged children and adolescents and that extremely preterm birth compromises the dynamics and developmental trajectories of brain networks.
AB - Cognitive functions emerge from dynamic functional interplay of cortical and subcortical areas that form networks. Preterm birth poses a risk for the formation and functionality of brain networks which may lead to severe brain dysfunctions. Infants born extremely preterm have the highest risk of developing neurocognitive impairments. However, it is still poorly understood how functional brain networks are organized and linked with the cognitive impairments in extremely prematurely born children and adolescents. We applied network-based statistics to study functional network connectivity during two brain-states, resting-state (Rest) and visuospatial working memory n-back tasks (Task), in a unique cohort of extremely preterm-born school-aged children and adolescents (n = 24, mean age 10.3 y, range 7.4–16.4 y) with normal general cognitive abilities and in their term-born peers (n = 22, mean age 9.5 y, range 7.4–13.7 y). We found significant group differences in functional connectivity strength in networks that support complex cognitive performance. The preterm group, compared with controls, modulated functional connectivity between Rest and Task differently within the dorsal attention (DAN, p = 0.016), default mode (DMN, p = 0.026) and visual (VN, p = 0.022) networks, and between DMN – DAN (p = 0.024), DMN – ventral attention network (VAN) (p = 0.035), and DMN – frontoparietal network (FPN) (p = 0.015). The groups also showed opposite age-related changes in connectivity strength within the DAN (Task, p = 0.005; Rest, p = 0.012), DMN (Task, p = 0.015) and FPN (Task, p = 0.002), and between the DAN – VAN (p = 0.047) and DAN – FPN (p = 0.009) during Rest, and FPN – VAN (p =0.028), DAN – FPN (p = 0.006), DMN – DAN (p = 0.042), DMN – VAN (p = 0.023), and DMN – FPN (p = 0.007) during Task. In controls, stronger within-network connectivity associated with better n-back task performance, whereas in the preterm group, stronger between-network connectivity associated with poorer performance. These results suggest that adjustment of functional connectivity to the cognitive demands supports successful performance in school-aged children and adolescents and that extremely preterm birth compromises the dynamics and developmental trajectories of brain networks.
KW - Brain networks
KW - Extreme prematurity
KW - Functional connectivity
KW - Functional MRI
KW - Resting-state
KW - Working memory
KW - 3123 Gynaecology and paediatrics
KW - 3124 Neurology and psychiatry
U2 - 10.1016/j.neuroimage.2025.121447
DO - 10.1016/j.neuroimage.2025.121447
M3 - Article
C2 - 40930409
AN - SCOPUS:105015585922
SN - 1053-8119
VL - 320
JO - NeuroImage
JF - NeuroImage
M1 - 121447
ER -