Resting state cerebral blood flow with arterial spin labeling MRI in developing human brains. (July 2018)

• Record Type: Journal Article
• Authors: Liu, Feng; Duan, Yunsuo; Peterson, Bradley S.; Asllani, Iris; Zelaya, Fernando; Lythgoe, David; Kangarlu, Alayar
• Is Part Of: European journal of paediatric neurology. Volume 22:Number 4(2018:Jul.)
• Page Start: 642
• Page End: 651
• Publication Date: 2018-07
• Subjects: ASL -- CBF -- Resting state -- Cerebral perfusion -- Brain development; Pediatric neurology -- Periodicals; Nervous System Diseases -- Periodicals; Child -- Periodicals; Infant -- Periodicals; Neurologie pédiatrique -- Périodiques; Pediatric neurology; Electronic journals; Periodicals; Electronic journals; 618.928
• DOI: 10.1016/j.ejpn.2018.03.003
• Languages: English
• ISSNs: 1090-3798

Abstract

Abstract: The development of brain circuits is coupled with changes in neurovascular coupling, which refers to the close relationship between neural activity and cerebral blood flow (CBF). Studying the characteristics of CBF during resting state in developing brain can be a complementary way to understand the functional connectivity of the developing brain. Arterial spin labeling (ASL), as a noninvasive MR technique, is particularly attractive for studying cerebral perfusion in children and even newborns. We have collected pulsed ASL data in resting state for 47 healthy subjects from young children to adolescence (aged from 6 to 20 years old). In addition to studying the developmental change of static CBF maps during resting state, we also analyzed the CBF time series to reveal the dynamic characteristics of CBF in differing age groups. We used the seed-based correlation analysis to examine the temporal relationship of CBF time series between the selected ROIs and other brain regions. We have shown the developmental patterns in both static CBF maps and dynamic characteristics of CBF. While higher CBF of default mode network (DMN) in all age groups supports that DMN is the prominent active network during the resting state, the CBF connectivity patterns of some typical resting state networks show distinct patterns of metabolic activity during the resting state in the developing brains.