A multisample study of longitudinal changes in brain network architecture in 4–13‐year‐old children

Wierenga, Lara M.; Heuvel, Martijn P. van den; Oranje, Bob; Giedd, Jay N.; Durston, Sarah; Peper, Jiska S.; Brown, Timothy T.; Crone, Eveline A.; Study, Genetics

doi:10.1002/hbm.23833

Cited by 35 publications

(31 citation statements)

References 85 publications

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“…A recent study replicated and extended these findings in two independent longitudinal datasets with participants ranging from ages 4 to 13 years (Wierenga, van den Heuvel, et al 2018). As observed in Baker et al, 2015, the hub regions of the brain showed the most substantial changes in connectivity between childhood and early adolescence (Wierenga, van den Heuvel, et al 2018). Further, this study found that white matter tracts connecting distal regions of the brain demonstrated larger developmental changes in FA than white matter tracts connecting proximal brain regions (Wierenga, van den Heuvel, et al 2018).…”

Section: White Matter Microstructuresupporting

confidence: 56%

“…Specifically, connections between subcortical hubs decreased across late adolescence and connections between frontal-subcortical and frontalparietal hubs increased across late adolescence (Baker et al 2015). A recent study replicated and extended these findings in two independent longitudinal datasets with participants ranging from ages 4 to 13 years (Wierenga, van den Heuvel, et al 2018). As observed in Baker et al, 2015, the hub regions of the brain showed the most substantial changes in connectivity between childhood and early adolescence (Wierenga, van den Heuvel, et al 2018).…”

Section: White Matter Microstructurementioning

confidence: 63%

“…As observed in Baker et al, 2015, the hub regions of the brain showed the most substantial changes in connectivity between childhood and early adolescence (Wierenga, van den Heuvel, et al 2018). Further, this study found that white matter tracts connecting distal regions of the brain demonstrated larger developmental changes in FA than white matter tracts connecting proximal brain regions (Wierenga, van den Heuvel, et al 2018). The brain is highly organised, and the layout is often described as highly efficient in regards to signalling (Achard and Bullmore 2007).…”

Section: White Matter Microstructurementioning

confidence: 65%

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Longitudinal structural and functional brain development in childhood and adolescence

Mills¹,

Tamnes²

2018

Preprint

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The development of the human brain involves a prolonged course of maturation, enabling us to learn to navigate our complex social environments. Here, we give short introductions to post-mortem and animal studies on postnatal brain development and selected methodological considerations for longitudinal developmental neuroimaging. We then describe typical developmental changes in brain structure and function from childhood to adulthood. We focus on measurements derived from magnetic resonance imaging (MRI) and on longitudinal data. Specifically, we discuss brain structural development based on morphometry and diffusion tensor imaging (DTI) studies, and functional development based on resting-state and task-based functional MRI. Finally, we highlight selected current overarching research questions and argue that an important step in answering these questions is to study individual differences in longitudinal brain development.

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Section: White Matter Microstructuresupporting

confidence: 56%

Section: White Matter Microstructurementioning

confidence: 63%

Section: White Matter Microstructurementioning

confidence: 65%

See 1 more Smart Citation

Longitudinal structural and functional brain development in childhood and adolescence

Mills¹,

Tamnes²

2018

Preprint

View full text Add to dashboard Cite

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“…Frontal regions undergo a great deal of development and establishment of connections during childhood (Sowell et al, ; Wierenga et al, ; Wierenga et al, ), consistent with frontal hub changes noted in healthy control children during periods of increased demand, such as in the early school years. Hubs are highly connected regions globally that direct the flow of information in brain networks.…”

Section: Discussionmentioning

confidence: 60%

Structural brain network development in children following prenatal methamphetamine exposure

Roos

Fouché

Toit

et al. 2020

J of Comparative Neurology

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Brain imaging studies in children with prenatal methamphetamine exposure (PME) suggest structural and functional alterations of striatal, frontal, parietal, and limbic regions. However, no longitudinal studies have investigated changes in structural connectivity during the first 2 years of formal schooling. The aim of this study was to explore the effects of PME on structural connectivity of brain networks in children over the critical first 2 years of formal schooling when foundational learning takes place. Networks are expected to gradually increase in global connectedness while segregating into defined systems. Graph theoretical analysis was used to investigate changes in structural connectivity at age 6 and 8 years in children with and without PME. While healthy control children showed increased connectivity in frontal and limbic hubs over time, children with PME showed increased connectivity in the superior parietal cortex and striatum in their global network. Furthermore, compared to control children, those with PME were characterized by less change in segregation of structural networks over time. These findings are consistent with previous work on regions implicated in children with PME, but they additionally demonstrate alterations in structural connectivity between regions that underlie primary cognitive, behavioral, and emotional development. Understanding patterns of network development during critical periods in at-risk children may inform strategies for supporting this group of children in these developmental tasks important for lifelong brain health and development.

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“…Intercept and age were fixed effects, while within participant dependence ( d p ) was modelled as a random effect. This same procedure was used in other longitudinal studies that explored brain connectivity changes over time (Wierenga et al, ). The linear mixed model included the 32 participants who had valid data for at least two visits.…”

Section: Methodsmentioning

confidence: 99%

The developmental trajectory of fronto‐temporoparietal connectivity as a proxy of the default mode network: a longitudinal fNIRS investigation

Bulgarelli

Klerk

Richards

et al. 2020

Human Brain Mapping

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The default mode network (DMN) is a network of brain regions that is activated while we are not engaged in any particular task. While there is a large volume of research documenting functional connectivity within the DMN in adults, knowledge of the development of this network is still limited. There is some evidence for a gradual increase in the functional connections within the DMN during the first 2 years of life, in contrast to other functional resting‐state networks that support primary sensorimotor functions, which are online from very early in life. Previous studies that investigated the development of the DMN acquired data from sleeping infants using fMRI. However, sleep stages are known to affect functional connectivity. In the current longitudinal study, fNIRS was used to measure spontaneous fluctuations in connectivity within fronto‐temporoparietal areas—as a proxy for the DMN—in awake participants every 6 months from 11 months till 36 months. This study validates a method for recording resting‐state data from awake infants, and presents a data analysis pipeline for the investigation of functional connections with infant fNIRS data, which will be beneficial for researchers in this field. A gradual development of fronto‐temporoparietal connectivity was found, supporting the idea that the DMN develops over the first years of life. Functional connectivity reached its maximum peak at about 24 months, which is consistent with previous findings showing that, by 2 years of age, DMN connectivity is similar to that observed in adults.

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A multisample study of longitudinal changes in brain network architecture in 4–13‐year‐old children

Cited by 35 publications

References 85 publications

Longitudinal structural and functional brain development in childhood and adolescence

Longitudinal structural and functional brain development in childhood and adolescence

Structural brain network development in children following prenatal methamphetamine exposure

The developmental trajectory of fronto‐temporoparietal connectivity as a proxy of the default mode network: a longitudinal fNIRS investigation

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