Changes of Dynamic Functional Connectivity Associated With Maturity in Late Preterm Infants

Copyright © 2020 Ma, Wu and Shi..

Objective: To investigate the changes of dynamic functional connectivity (DFC) in late preterm infants, and assess whether these changes are associated with the indicators measuring the maturity of neonates. Methods: Resting-state fMRI (rs-fMRI) data of eligible neonates was acquired with a 3.0-T MRI scanner in the Department of Radiology, Daping Hospital, Army Medical University (Chongqing, China). After the selection of functional connectivity networks obtained by independent component analysis (ICA), a sliding-window approach was used to cluster all the windows into different states. Then the differences of temporal properties of DFC between groups were compared, and the association between these temporal properties and the degree of maturity was also explored in each state. Results: Eventually, 34 late preterm and 37 term neonates were included in the final analysis. Based on their data, 5 components were located in 5 networks: default-mode (DMN), dorsal attention (DAN), auditory (AUD), sensorimotor (SMN), and visual (VN). Then four reoccurring state patterns of functional connectivity were identified with the k-means clustering method. The late preterm group dwelled significantly longer in State III (late preterm: 33.57 ± 37.64 s, term: 18.50 ± 11.71 s; P = 0.03), which was characterized by general weaker connectivity between networks. Also, the correlation analysis shows the degree of maturity is negatively correlated to the dwell time and fractional windows in State III. Conclusion: Our findings suggested that compared with term infants, late preterm infants preferred to stay in a state with general weak connectivity between networks, but this preference declined as maturity increased.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:8

Enthalten in:

Frontiers in pediatrics - 8(2020) vom: 05., Seite 412

Sprache:

Englisch

Beteiligte Personen:

Ma, Xueling [VerfasserIn]
Wu, Xiushuang [VerfasserIn]
Shi, Yuan [VerfasserIn]

Links:

Volltext

Themen:

Dynamic functional connectivity
FMRI
Independent component analysis
Journal Article
Late preterm infants
Premature brain injury

Anmerkungen:

Date Revised 28.09.2020

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.3389/fped.2020.00412

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM313682038