Use of resting-state functional MRI to study brain development and injury in neonates

Smyser, Christopher D.; Neil, Jeffrey J.

doi:10.1053/j.semperi.2015.01.006

Cited by 71 publications

(65 citation statements)

References 120 publications

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“…First, head motion is a challenge in rs-fMRI studies in all populations, especially infants (Smyser and Neil 2015). However, no significant difference in head motion (mean FD) occurred between MLPT and term newborns.…”

Section: Limitationsmentioning

confidence: 97%

“…A significant interaction between groups and frequency bands was also identified in the orbitofrontal cortex. As mentioned above, signal dropout and geometric image distortion can often occur in this region (Cusack et al 2003;Deichmann et al 2002;Power et al 2014;Smyser and Neil 2015), and the involvement of the orbitofrontal cortex in neonates requires further investigation.…”

Section: Frequency-dependent Changes In Alff Activity In Mlpt Newbornsmentioning

confidence: 98%

“…In addition, increased ALFF values were also detected in the inferior temporal gyrus and the orbitofrontal cortex in the MLPT newborns. Due to the proximity of auditory meatuses and sinuses (air pockets) in the cranium, fMRI signal dropout often occurs in the inferior temporal gyrus and in the orbitofrontal cortex (Deichmann et al 2002;Smyser and Neil 2015). Most resting-state datasets have poor signal quality in these two regions.…”

Section: Altered Alff Activity In Mlpt Newbornsmentioning

confidence: 99%

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Frequency of Spontaneous BOLD Signal Differences between Moderate and Late Preterm Newborns and Term Newborns

Wei

Wang

et al. 2016

Neurotox Res

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Little is known about the frequency features of spontaneous neural activity in the brains of moderate and late preterm (MLPT) newborns. We used resting-state functional magnetic resonance imaging (rs-fMRI) and the amplitude of low-frequency fluctuation (ALFF) method to investigate the frequency properties of spontaneous blood oxygen level-dependent (BOLD) signals in 26 MLPT and 35 term newborns. Two frequency bands, slow-4 (0.027-0.073 Hz) and slow-5 (0.01-0.027 Hz), were analyzed. Our results showed widespread differences in ALFF between the two bands; differences occurred mainly in the primary sensory and motor cortices and to a lesser extent in association cortices and subcortical areas. Compared with term newborns, MLPT newborns showed significantly altered neural activity predominantly in the primary sensory and motor cortices and in the posterior cingulate gyrus/precuneus. In addition, a significant interaction between frequency bands and groups was observed in the primary somatosensory cortex. Intriguingly, these primary sensory and motor regions have been proven to be the major cortical hubs during the neonatal period. Our results revealed the frequency of spontaneous BOLD signal differences between MLPT and term newborns, which contribute to the understanding of regional development of spontaneous brain rhythms of MLPT newborns.

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Section: Limitationsmentioning

confidence: 97%

Section: Frequency-dependent Changes In Alff Activity In Mlpt Newbornsmentioning

confidence: 98%

Section: Altered Alff Activity In Mlpt Newbornsmentioning

confidence: 99%

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Frequency of Spontaneous BOLD Signal Differences between Moderate and Late Preterm Newborns and Term Newborns

Wei

Wang

et al. 2016

Neurotox Res

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“…This synchrony is interpreted as representing the connectivity of intrinsic neural networks (2)(3)(4)(5)(6). Many studies have identified changes in these resting-state networks during brain development (7,8) and in neurological and even psychological disorders (9)(10)(11). However, understanding the meaning of both normal and altered functional connectivity networks requires a clearer picture of the neural activity underlying the hemodynamic fluctuations detected by resting-state fMRI.…”

mentioning

confidence: 99%

Resting-state hemodynamics are spatiotemporally coupled to synchronized and symmetric neural activity in excitatory neurons

Shaik

Kozberg

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

305

303

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Brain hemodynamics serve as a proxy for neural activity in a range of noninvasive neuroimaging techniques including functional magnetic resonance imaging (fMRI). In resting-state fMRI, hemodynamic fluctuations have been found to exhibit patterns of bilateral synchrony, with correlated regions inferred to have functional connectivity. However, the relationship between resting-state hemodynamics and underlying neural activity has not been well established, making the neural underpinnings of functional connectivity networks unclear. In this study, neural activity and hemodynamics were recorded simultaneously over the bilateral cortex of awake and anesthetized Thy1-GCaMP mice using wide-field optical mapping. Neural activity was visualized via selective expression of the calcium-sensitive fluorophore GCaMP in layer 2/3 and 5 excitatory neurons. Characteristic patterns of resting-state hemodynamics were accompanied by more rapidly changing bilateral patterns of resting-state neural activity. Spatiotemporal hemodynamics could be modeled by convolving this neural activity with hemodynamic response functions derived through both deconvolution and gamma-variate fitting. Simultaneous imaging and electrophysiology confirmed that Thy1-GCaMP signals are well-predicted by multiunit activity. Neurovascular coupling between resting-state neural activity and hemodynamics was robust and fast in awake animals, whereas coupling in urethane-anesthetized animals was slower, and in some cases included lower-frequency (<0.04 Hz) hemodynamic fluctuations that were not well-predicted by local Thy1-GCaMP recordings. These results support that resting-state hemodynamics in the awake and anesthetized brain are coupled to underlying patterns of excitatory neural activity. The patterns of bilaterally-symmetric spontaneous neural activity revealed by widefield Thy1-GCaMP imaging may depict the neural foundation of functional connectivity networks detected in resting-state fMRI. neurovascular coupling | resting state | GCaMP | optical imaging | neural network activity F unctional magnetic resonance imaging (fMRI) measures local changes in deoxyhemoglobin concentration [HbR] as a surrogate for neural activity. In stimulus-evoked studies, the positive fMRI blood oxygen level-dependent (BOLD) signal corresponds to a decrease in [HbR] caused by a local increase in blood flow leading to over-oxygenation of the region. However, a growing number of studies are now using resting-state functional connectivity fMRI (fc-fMRI) in which spontaneous fluctuations in the BOLD signal are recorded in the absence of a task (1). Spatiotemporal correlations in these hemodynamic signals across the brain have been found to be bilaterally symmetric and synchronized in distant brain regions. This synchrony is interpreted as representing the connectivity of intrinsic neural networks (2-6). Many studies have identified changes in these resting-state networks during brain development (7,8) and in neurological and even psychological disorders (9-11). However, understandin...

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“…Resting state networks are evident as young as 26 weeks prenatal age. Networks involved in primary motor and sensory areas appear more adult-like at this stage, while networks involved in higher order processing appear incomplete and fragmented even at term age [18]. Between birth and 1 year of age, the primary sensory-motor and auditory networks are the earliest networks to emerge, followed by the visual network and then the attention and 'default mode' networks [3,18,19].…”

Section: Functional Brain Developmentmentioning

confidence: 95%

Human brain development over the early years

Haartsen

Jones

Johnson

2016

Current Opinion in Behavioral Sciences

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Recent studies of the structural and functional development of the human brain over the early years have highlighted the rapid development of brain structures and their interconnectivity. Some regional functional specializations emerge within the first months after birth, while others have a more protracted course of development spanning over the first decade or longer. While some anatomical changes enable the emergence of new functions, evidence also points to the importance of resting state oscillations in sculpting neural architecture during development. In atypical development differences in brain structure, function and task-related activity in infancy often precede the emergence of later diagnostic behavioural symptoms.

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Use of resting-state functional MRI to study brain development and injury in neonates

Cited by 71 publications

References 120 publications

Frequency of Spontaneous BOLD Signal Differences between Moderate and Late Preterm Newborns and Term Newborns

Frequency of Spontaneous BOLD Signal Differences between Moderate and Late Preterm Newborns and Term Newborns

Resting-state hemodynamics are spatiotemporally coupled to synchronized and symmetric neural activity in excitatory neurons

Human brain development over the early years

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