Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts

Han Zhang, Dinggang Shen, Weili Lin

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Resting-state functional MRI (rs-fMRI) is one of the most prevalent brain functional imaging modalities. Previous rs-fMRI studies have mainly focused on adults and elderly subjects. Recently, infant rs-fMRI studies have become an area of active research. After a decade of gap filling studies, many facets of the brain functional development from early infancy to toddler has been uncovered. However, infant rs-fMRI is still in its infancy. The image analysis tools for neonates and young infants can be quite different from those for adults. From data analysis to result interpretation, more questions and issues have been raised, and new hypotheses have been formed. With the anticipated availability of unprecedented high-resolution rs-fMRI and dedicated analysis pipelines from the Baby Connectome Project (BCP), it is important now to revisit previous findings and hypotheses, discuss and comment existing issues and problems, and make a “to-do-list” for the future studies. This review article aims to comprehensively review a decade of the findings, unveiling hidden jewels of the fields of developmental neuroscience and neuroimage computing. Emphases will be given to early infancy, particularly the first few years of life. In this review, an end-to-end summary, from infant rs-fMRI experimental design to data processing, and from the development of individual functional systems to large-scale brain functional networks, is provided. A comprehensive summary of the rs-fMRI findings in developmental patterns is highlighted. Furthermore, an extensive summary of the neurodevelopmental disorders and the effects of other hazardous factors is provided. Finally, future research trends focusing on emerging dynamic functional connectivity and state-of-the-art functional connectome analysis are summarized. In next decade, early infant rs-fMRI and developmental connectome study could be one of the shining research topics.

Original languageEnglish
JournalNeuroImage
DOIs
Publication statusAccepted/In press - 2018 Jan 1

Fingerprint

Magnetic Resonance Imaging
Connectome
Brain
Functional Neuroimaging
Neurosciences
Research
Research Design
Newborn Infant

Keywords

  • Autism
  • Baby connectome project
  • Brain network
  • Children
  • Connectome
  • Development
  • Dynamic functional connectivity
  • Functional connectivity
  • Functional MRI
  • Graph-theoretical analysis
  • Infant
  • Neonate
  • Resting state
  • Toddler

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

Cite this

Resting-state functional MRI studies on infant brains : A decade of gap-filling efforts. / Zhang, Han; Shen, Dinggang; Lin, Weili.

In: NeuroImage, 01.01.2018.

Research output: Contribution to journalArticle

@article{68a37672edcc4d7ab99695ca222f04c2,
title = "Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts",
abstract = "Resting-state functional MRI (rs-fMRI) is one of the most prevalent brain functional imaging modalities. Previous rs-fMRI studies have mainly focused on adults and elderly subjects. Recently, infant rs-fMRI studies have become an area of active research. After a decade of gap filling studies, many facets of the brain functional development from early infancy to toddler has been uncovered. However, infant rs-fMRI is still in its infancy. The image analysis tools for neonates and young infants can be quite different from those for adults. From data analysis to result interpretation, more questions and issues have been raised, and new hypotheses have been formed. With the anticipated availability of unprecedented high-resolution rs-fMRI and dedicated analysis pipelines from the Baby Connectome Project (BCP), it is important now to revisit previous findings and hypotheses, discuss and comment existing issues and problems, and make a “to-do-list” for the future studies. This review article aims to comprehensively review a decade of the findings, unveiling hidden jewels of the fields of developmental neuroscience and neuroimage computing. Emphases will be given to early infancy, particularly the first few years of life. In this review, an end-to-end summary, from infant rs-fMRI experimental design to data processing, and from the development of individual functional systems to large-scale brain functional networks, is provided. A comprehensive summary of the rs-fMRI findings in developmental patterns is highlighted. Furthermore, an extensive summary of the neurodevelopmental disorders and the effects of other hazardous factors is provided. Finally, future research trends focusing on emerging dynamic functional connectivity and state-of-the-art functional connectome analysis are summarized. In next decade, early infant rs-fMRI and developmental connectome study could be one of the shining research topics.",
keywords = "Autism, Baby connectome project, Brain network, Children, Connectome, Development, Dynamic functional connectivity, Functional connectivity, Functional MRI, Graph-theoretical analysis, Infant, Neonate, Resting state, Toddler",
author = "Han Zhang and Dinggang Shen and Weili Lin",
year = "2018",
month = "1",
day = "1",
doi = "10.1016/j.neuroimage.2018.07.004",
language = "English",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Academic Press Inc.",

}

TY - JOUR

T1 - Resting-state functional MRI studies on infant brains

T2 - A decade of gap-filling efforts

AU - Zhang, Han

AU - Shen, Dinggang

AU - Lin, Weili

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Resting-state functional MRI (rs-fMRI) is one of the most prevalent brain functional imaging modalities. Previous rs-fMRI studies have mainly focused on adults and elderly subjects. Recently, infant rs-fMRI studies have become an area of active research. After a decade of gap filling studies, many facets of the brain functional development from early infancy to toddler has been uncovered. However, infant rs-fMRI is still in its infancy. The image analysis tools for neonates and young infants can be quite different from those for adults. From data analysis to result interpretation, more questions and issues have been raised, and new hypotheses have been formed. With the anticipated availability of unprecedented high-resolution rs-fMRI and dedicated analysis pipelines from the Baby Connectome Project (BCP), it is important now to revisit previous findings and hypotheses, discuss and comment existing issues and problems, and make a “to-do-list” for the future studies. This review article aims to comprehensively review a decade of the findings, unveiling hidden jewels of the fields of developmental neuroscience and neuroimage computing. Emphases will be given to early infancy, particularly the first few years of life. In this review, an end-to-end summary, from infant rs-fMRI experimental design to data processing, and from the development of individual functional systems to large-scale brain functional networks, is provided. A comprehensive summary of the rs-fMRI findings in developmental patterns is highlighted. Furthermore, an extensive summary of the neurodevelopmental disorders and the effects of other hazardous factors is provided. Finally, future research trends focusing on emerging dynamic functional connectivity and state-of-the-art functional connectome analysis are summarized. In next decade, early infant rs-fMRI and developmental connectome study could be one of the shining research topics.

AB - Resting-state functional MRI (rs-fMRI) is one of the most prevalent brain functional imaging modalities. Previous rs-fMRI studies have mainly focused on adults and elderly subjects. Recently, infant rs-fMRI studies have become an area of active research. After a decade of gap filling studies, many facets of the brain functional development from early infancy to toddler has been uncovered. However, infant rs-fMRI is still in its infancy. The image analysis tools for neonates and young infants can be quite different from those for adults. From data analysis to result interpretation, more questions and issues have been raised, and new hypotheses have been formed. With the anticipated availability of unprecedented high-resolution rs-fMRI and dedicated analysis pipelines from the Baby Connectome Project (BCP), it is important now to revisit previous findings and hypotheses, discuss and comment existing issues and problems, and make a “to-do-list” for the future studies. This review article aims to comprehensively review a decade of the findings, unveiling hidden jewels of the fields of developmental neuroscience and neuroimage computing. Emphases will be given to early infancy, particularly the first few years of life. In this review, an end-to-end summary, from infant rs-fMRI experimental design to data processing, and from the development of individual functional systems to large-scale brain functional networks, is provided. A comprehensive summary of the rs-fMRI findings in developmental patterns is highlighted. Furthermore, an extensive summary of the neurodevelopmental disorders and the effects of other hazardous factors is provided. Finally, future research trends focusing on emerging dynamic functional connectivity and state-of-the-art functional connectome analysis are summarized. In next decade, early infant rs-fMRI and developmental connectome study could be one of the shining research topics.

KW - Autism

KW - Baby connectome project

KW - Brain network

KW - Children

KW - Connectome

KW - Development

KW - Dynamic functional connectivity

KW - Functional connectivity

KW - Functional MRI

KW - Graph-theoretical analysis

KW - Infant

KW - Neonate

KW - Resting state

KW - Toddler

UR - http://www.scopus.com/inward/record.url?scp=85050487877&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85050487877&partnerID=8YFLogxK

U2 - 10.1016/j.neuroimage.2018.07.004

DO - 10.1016/j.neuroimage.2018.07.004

M3 - Article

C2 - 29990581

AN - SCOPUS:85050487877

JO - NeuroImage

JF - NeuroImage

SN - 1053-8119

ER -