The emergence of long-range language network structural covariance and language abilities

Qi, Ting; Schaadt, Gesa; Cafiero, Riccardo; Bräuer, Jens; Skeide, Michael; Friederici, Angela D.

doi:10.1016/j.neuroimage.2019.02.014

Cited by 19 publications

(10 citation statements)

References 113 publications

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“…Structural covariance networks are more similar to patterns of functional connectivity than the architecture of white matter connections, suggesting that areas that co-vary in morphological characteristics also belong to the same functional network (Zielinski et al, 2010;Soriano-Mas et al, 2013). Such networks are thought to be shaped by genetic and environmental influences from early childhood (Richmond et al, 2016) and may continue to be reshaped during the lifespan (Alexander-Bloch et al, 2013;Aboud et al, 2019;Qi et al, 2019) by a range of trophic influences (Ferrer et al, 1995;Draganski et al, 2004;Mechelli et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

OUP accepted manuscript

Yun¹,

Boedhoe²,

Vriend³

et al. 2020

Brain

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Brain structural covariance networks reflect covariation in morphology of different brain areas and are thought to reflect common trajectories in brain development and maturation. Large-scale investigation of structural covariance networks in obsessive-compulsive disorder (OCD) may provide clues to the pathophysiology of this neurodevelopmental disorder. Using T 1-weighted MRI scans acquired from 1616 individuals with OCD and 1463 healthy controls across 37 datasets participating in the ENIGMA-OCD Working Group, we calculated intra-individual brain structural covariance networks (using the bilaterally-averaged values of 33 cortical surface areas, 33 cortical thickness values, and six subcortical volumes), in which edge weights were proportional to the similarity between two brain morphological features in terms of deviation from healthy controls (i.e. z-score transformed). Global networks were characterized using measures of network segregation (clustering and modularity), network integration (global efficiency), and their balance (small-worldness), and their community membership was assessed. Hub profiling of regional networks was undertaken using measures of betweenness, closeness, and eigenvector centrality. Individually calculated network measures were integrated across the 37 datasets using a meta-analytical approach. These network measures were summated across the network density range of K = 0.10-0.25 per participant, and were integrated across the 37 datasets using a meta-analytical approach.

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Section: Introductionmentioning

confidence: 99%

OUP accepted manuscript

Yun¹,

Boedhoe²,

Vriend³

et al. 2020

Brain

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“…Importantly, extension of a tract into new cortical territories alters the unique connectivity fingerprint of the innervated areas, which profoundly changes the computational capabilities that area supports (Mars et al, 2018b). Being able to dissociate different modifications of brain architecture can inform us about how temporal lobe specializations link to uniquely human higher cognition (Qi et al, 2019;Roelofs, 2014;Schomers et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

Cross-species cortical alignment identifies different types of anatomical reorganization in the primate temporal lobe

Eichert

Robinson

Bryant

et al. 2020

eLife

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Evolutionary adaptations of temporo-parietal cortex are considered to be a critical specialization of the human brain. Cortical adaptations, however, can affect different aspects of brain architecture, including local expansion of the cortical sheet or changes in connectivity between cortical areas. We distinguish different types of changes in brain architecture using a computational neuroanatomy approach. We investigate the extent to which between-species alignment, based on cortical myelin, can predict changes in connectivity patterns across macaque, chimpanzee, and human. We show that expansion and relocation of brain areas can predict terminations of several white matter tracts in temporo-parietal cortex, including the middle and superior longitudinal fasciculus, but not the arcuate fasciculus. This demonstrates that the arcuate fasciculus underwent additional evolutionary modifications affecting the temporal lobe connectivity pattern. This approach can flexibly be extended to include other features of cortical organization and other species, allowing direct tests of comparative hypotheses of brain organization.

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“…For instance, a long-range white matter connection between the left IFG and left posterior STG and superior temporal sulcus (STS) has been reported to emerge gradually with age and to relate to language abilities ( Friederici, 2011 ; Skeide and Friederici, 2016 ). Moreover, brain regions of the gray matter linked to this fiber tract, e.g., the left IFG, left inferior parietal lobule (IPL), and left supramarginal gyrus, have also been observed to be associated with language skills in children and to change with development ( Fengler et al., 2015 ; Lu et al., 2007 ; Qi et al., 2019a , 2019b ; Richardson et al., 2010 ; Sowell et al., 2004 ). In general, myelination development parallels cortical growth, such as cortical surface expansion and thinning ( Cafiero et al., 2018 ; Natu et al., 2019 ), gradually developing across frontal, temporal, and parietal regions ( Brown et al., 2012 ; Cafiero et al., 2018 ; Raznahan et al., 2011 ; Tamnes et al., 2017 ), which are proposed to be associated with language comprehension ( Roehrich-Gascon et al., 2015 ).…”

Section: Introductionmentioning

confidence: 99%

Associated functional network development and language abilities in children

Schaadt

Friederici

2021

NeuroImage

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During childhood, the brain is gradually converging to the efficient functional architecture observed in adults. How the brain's functional architecture evolves with age, particularly in young children, is however, not well understood. We examined the functional connectivity of the core language regions, in association with cortical growth and language abilities, in 175 young children in the age range of 4 to 9 years. We analyzed the brain's developmental changes using resting-state functional and T1-weighted structural magnetic resonance imaging data. The results showed increased functional connectivity strength with age between the pars triangularis of the left inferior frontal gyrus and left temporoparietal regions (cohen's d = 0.54, CI : 0.24 - 0.84), associated with children's language abilities. Stronger functional connectivity between bilateral prefrontal and temporoparietal regions was associated with better language abilities regardless of age. In addition, the stronger functional connectivity between the left inferior frontal and temporoparietal regions was associated with larger surface area and thinner cortical thickness in these regions, which in turn was associated with superior language abilities. Thus, using functional and structural brain indices, coupled with behavioral measures, we elucidate the association of functional language network development, language ability, and cortical growth, thereby adding to our understanding of the neural basis of language acquisition in young children.

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The emergence of long-range language network structural covariance and language abilities

Cited by 19 publications

References 113 publications

OUP accepted manuscript

OUP accepted manuscript

Cross-species cortical alignment identifies different types of anatomical reorganization in the primate temporal lobe

Associated functional network development and language abilities in children

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