Topological segregation of functional networks increases in developing brains

He, Wei; Sowman, Paul F.; Brock, Jon; Ac, Etchell; Cj, Stam; Hillebrand, Arjan

doi:10.1101/378562

Cited by 3 publications

(2 citation statements)

References 78 publications

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“…Increases in network segregation in the developing brain has been previously demonstrated in neonates (Cao et al, 2017;Zhao et al, 2019) and in children and adolescents He et al, 2018), and may show more distributed integrative patterns in adulthood (Fair et al, 2009). While our study's advantages include a large term-born neonatal sample with data acquired and analyzed with optimized protocols for this age group, as well as the use of a large number of morphometric measures to characterize the brain, it is not without limitations.…”

Section: Discussionmentioning

confidence: 99%

Development of Microstructural and Morphological Cortical Profiles in the Neonatal Brain

Fenchel

Dimitrova

Seidlitz

et al. 2020

Preprint

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In the perinatal brain, regional cortical architecture and connectivity lay the foundations for functional circuits and emerging behaviour. Interruptions or atypical development during or before this period may therefore have long-lasting consequences. However, to be able to investigate these deviations, we need a measure of how this architecture evolves in the typically developing brain.To this end, in a large cohort of 241 term-born infants we used Magnetic Resonance Imaging to estimate cortical profiles based on morphometry and microstructure over the perinatal period (37-44 weeks post-menstrual age, PMA). Using the covariance of these profiles as a measure of interareal network similarity (Morphometric Similarity Networks; MSN), we clustered these networks into distinct modules. The resulting modules were consistent and symmetric, and corresponded to known functional distinctions, including sensory-motor, limbic and association regions and were spatially mapped onto known cytoarchitectonic tissue classes. Posterior (parietal, occipital) regions became more morphometrically similar with increasing PMA, while peri-cingulate and medial temporal regions became more dissimilar. Network strength was associated with PMA:Within-network similarity increased over PMA suggesting emerging network distinction. These changes in cortical network architecture over an eight-week period are consistent with, and likely underpin, the highly dynamic behavioural and cognitive development occurring during this critical period. The resulting cortical profiles might provide normative reference to investigate atypical early brain development.

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Section: Discussionmentioning

confidence: 99%

Development of Microstructural and Morphological Cortical Profiles in the Neonatal Brain

Fenchel

Dimitrova

Seidlitz

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…The cohort used in this study was limited in age span by the fundamental physics of traditional MEG systems, where participants younger than approximately 5 years of age will have heads too small, and subsequently would be too far from sensors, for reasonable SNR in MEG. To perform MEG in younger subjects, several targeted systems exist that are specifically designed to have smaller dewars such that the sensors are closer to the heads of young children (e.g., He et al, 2018) or for infants (e.g., Gaetz et al, 2015). There have also been exciting developments in next-generation MEG sensors, in particular optically pumped magnetometers (OPMs; Boto et al, 2016; Boto et al, 2018), and necessary magnetic field nulling technology (Holmes et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

Spatial and spectral trajectories in typical neurodevelopment from childhood to middle age

Hunt

Wong

Vandewouw

et al. 2019

Network Neuroscience

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Detailed characterization of typical human neurodevelopment is key if we are to understand the nature of mental and neurological pathology. While research on the cellular processes of neurodevelopment has made great advances, in vivo human imaging is crucial to understand our uniquely human capabilities, as well as the pathologies that affect them. Using magnetoencephalography data in the largest normative sample currently available (324 participants aged 6–45 years), we assess the developmental trajectory of resting-state oscillatory power and functional connectivity from childhood to middle age. The maturational course of power, indicative of local processing, was found to both increase and decrease in a spectrally dependent fashion. Using the strength of phase-synchrony between parcellated regions, we found significant linear and nonlinear (quadratic and logarithmic) trajectories to be characterized in a spatially heterogeneous frequency-specific manner, such as a superior frontal region with linear and nonlinear trajectories in theta and gamma band respectively. Assessment of global efficiency revealed similar significant nonlinear trajectories across all frequency bands. Our results link with the development of human cognitive abilities; they also highlight the complexity of neurodevelopment and provide quantitative parameters for replication and a robust footing from which clinical research may map pathological deviations from these typical trajectories.

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Age-related hearing loss increases full-brain connectivity while reversing directed signaling within the dorsal–ventral pathway for speech

et al. 2019

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Speech comprehension difficulties are ubiquitous to aging and hearing loss, particularly in noisy environments. Older adults' poorer speech-in-noise (SIN) comprehension has been related to abnormal neural representations within various nodes (regions) of the speech network, but how senescent changes in hearing alter the transmission of brain signals remains unspecified. We measured electroencephalograms in older adults with and without mild hearing loss during a SIN identification task. Using functional connectivity and graph-theoretic analyses, we show that hearing-impaired (HI) listeners have more extended (less integrated) communication pathways and less efficient information exchange among widespread brain regions (larger network eccentricity) than their normal-hearing (NH) peers. Parameter optimized support vector machine classifiers applied to EEG connectivity data showed hearing status could be decoded (> 85% accuracy) solely using network-level descriptions of brain activity, but classification was particularly robust using left hemisphere connections. Notably, we found a reversal in directed neural signaling in left hemisphere dependent on hearing status among specific connections within the dorsalventral speech pathways. NH listeners showed an overall net "bottom-up" signaling directed from auditory cortex (A1) to inferior frontal gyrus (IFG; Broca's area), whereas the HI group showed the reverse signal (i.e., "top-down" Broca's → A1). A similar flow reversal was noted between

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Topological segregation of functional networks increases in developing brains

Cited by 3 publications

References 78 publications

Development of Microstructural and Morphological Cortical Profiles in the Neonatal Brain

Development of Microstructural and Morphological Cortical Profiles in the Neonatal Brain

Spatial and spectral trajectories in typical neurodevelopment from childhood to middle age

Age-related hearing loss increases full-brain connectivity while reversing directed signaling within the dorsal–ventral pathway for speech

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