Functional Connectivity Network Disruption Underlies Domain-Specific Impairments in Attention for Children Born Very Preterm.

Attention problems are common in school-age children born very preterm (VPT; < 32 weeks gestational age), but the contribution of aberrant functional brain connectivity to these problems is not known. As part of a prospective longitudinal study, brain functional connectivity (fc) was assessed alongside behavioral measures of selective, sustained, and executive attention in 58 VPT and 65 full-term (FT) born children at corrected-age 12 years. VPT children had poorer sustained, shifting, and divided attention than FT children. Within the VPT group, poorer attention scores were associated with between-network connectivity in ventral attention, visual, and subcortical networks, whereas between-network connectivity in the frontoparietal, cingulo-opercular, dorsal attention, salience and motor networks was associated with attention functioning in FT children. Network-level differences were also evident between VPT and FT children in specific attention domains. Findings contribute to our understanding of fc networks that potentially underlie typical attention development and suggest an alternative network architecture may help support attention in VPT children.

Altered functional network connectivity relates to motor development in children born very preterm.

Individuals born very preterm (<32 weeks gestation) are at increased risk for neuromotor impairments. The ability to characterize the structural and functional mechanisms underlying these impairments remains limited using existing neuroimaging techniques. Resting state-functional magnetic resonance imaging (rs-fMRI) holds promise for defining the functional network architecture of the developing brain in relation to typical and aberrant neurodevelopment. In 58 very preterm and 65 term-born children studied from birth to age 12 years, we examined relations between functional connectivity measures from low-motion rs-fMRI data and motor skills assessed using the Movement Assessment Battery for Children, 2nd edition. Across all subscales, motor performance was better in term than very preterm children. Examination of relations between functional connectivity and motor measures using enrichment analysis revealed between-group differences within cerebellar, frontoparietal, and default mode networks, and between basal ganglia-motor, thalamus-motor, basal ganglia-auditory, and dorsal attention-default mode networks. Specifically, very preterm children exhibited weaker associations between motor scores and thalamus-motor and basal ganglia-motor network connectivity. These findings highlight key functional brain systems underlying motor development. They also demonstrate persisting developmental effects of preterm birth on functional connectivity and motor performance in childhood, providing evidence for an alternative network architecture supporting motor function in preterm children.

Impact of brain injury on functional measures of amplitude-integrated EEG at term equivalent age in premature infants.

OBJECTIVE: To evaluate the association between qualitative and quantitative amplitude-integrated EEG (aEEG) measures at term equivalent age (TEA) and brain injury on magnetic resonance imaging (MRI) in preterm infants. STUDY DESIGN: A cohort of premature infants born at <30 weeks of gestation and with moderate-to-severe MRI injury on a TEA MRI scan was identified. A contemporaneous group of gestational age-matched control infants also born at <30 weeks of gestation with none/mild injury on MRI was also recruited. Quantitative aEEG measures, including maximum and minimum amplitudes, bandwidth span and spectral edge frequency (SEF90), were calculated using an offline software package. The aEEG recordings were qualitatively scored using the Burdjalov system. MRI scans, performed on the same day as aEEG, occurred at a mean postmenstrual age of 38.0 (range 37 to 42) weeks and were scored for abnormality in a blinded manner using an established MRI scoring system. RESULTS: Twenty-eight (46.7%) infants had a normal MRI or mild brain abnormality, while 32 (53.3%) infants had moderate-to-severe brain abnormality. Univariate regression analysis demonstrated an association between severity of brain abnormality and quantitative measures of left and right SEF90 and bandwidth span (ß=-0.38, -0.40 and 0.30, respectively) and qualitative measures of cyclicity, continuity and total Burdjalov score (ß=-0.10, -0.14 and -0.12, respectively). After correcting for confounding variables, the relationship between MRI abnormality score and aEEG measures of SEF90, bandwidth span and Burdjalov score remained significant. CONCLUSION: Brain abnormalities on MRI at TEA in premature infants are associated with abnormalities on term aEEG measures, suggesting that anatomical brain injury may contribute to delay in functional brain maturation as assessed using aEEG.

The impact of prenatal and neonatal infection on neurodevelopmental outcomes in very preterm infants.

OBJECTIVE: Determine the association of prenatal and neonatal infections with neurodevelopmental outcomes in very preterm infants. STUDY DESIGN: Secondary retrospective analysis of 155 very preterm infants at a single tertiary referral center. General linear or logistic regression models were used to evaluate the association with hospital factors; brain injury, growth and development; and neurobehavioral outcome. RESULT: Necrotizing enterocolitis with sepsis was associated with reduced transcerebellar diameter (38.3 vs 48.4 mm, P<0.001) and increased left ventricular diameter (12.0 vs 8.0 mm, P=0.005). Sepsis alone was associated with higher diffusivity in the left frontal lobe (1.85 vs 1.68 × 10⁻³ mm² s⁻¹, P=0.001) and right cingulum bundle (1.52 vs 1.45 × 10⁻³ mm 253 s⁻¹, P=0.002). Neurobehavioral outcomes were worse in children exposed to maternal genitourinary infection (cognitive composite: ß=-8.8, P=0.001; receptive language score: ß=-2.7, P<0.001; language composite: ß=-14.9, P<0.001) or histological chorioamnionitis (language composite: ß=-8.6, P=0.006), but not neonatal infection. CONCLUSION: Neonatal infection was associated with changes in brain structure but not with neurobehavioral outcomes, whereas the opposite pattern was observed for maternal genitourinary tract infection. These findings emphasize the potential importance of infections during pregnancy on the neurodevelopmental outcomes of preterm infants.

Resting-state fMRI: a review of methods and clinical applications.

SUMMARY: Resting-state fMRI measures spontaneous low-frequency fluctuations in the BOLD signal to investigate the functional architecture of the brain. Application of this technique has allowed the identification of various RSNs, or spatially distinct areas of the brain that demonstrate synchronous BOLD fluctuations at rest. Various methods exist for analyzing resting-state data, including seed-based approaches, independent component analysis, graph methods, clustering algorithms, neural networks, and pattern classifiers. Clinical applications of resting-state fMRI are at an early stage of development. However, its use in presurgical planning for patients with brain tumor and epilepsy demonstrates early promise, and the technique may have a future role in providing diagnostic and prognostic information for neurologic and psychiatric diseases.