Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment

Burger, Bianca; Nenning, Karl-Heinz; Schwartz, Ernst; Margulies, Daniel S.; Goulas, Alexandros; Liu, Hesheng; Neubauer, Simon; Dauwels, Justin; Prayer, Daniela

doi:10.1016/j.neuroimage.2021.118770

Cited by 12 publications

(7 citation statements)

References 46 publications

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“…Thus, while various networks across the S-A axis likely contribute in diverse ways to cognitive functioning, the notable individual variability in association network topography may be a more salient feature for predicting individual differences in cognition. Indeed, these regions tend to exhibit lower structural and functional heritability 70 , 71 and undergo the greatest surface area expansion during development 63 . Moreover, the extended window of plasticity for these regions compared with other parts of the cortex 72 renders them more likely to be shaped by an individual’s environment and experiences 71 , potentially further contributing to their unique spatial patterning across individuals.…”

Section: Discussionmentioning

confidence: 99%

“…Indeed, these regions tend to exhibit lower structural and functional heritability 70 , 71 and undergo the greatest surface area expansion during development 63 . Moreover, the extended window of plasticity for these regions compared with other parts of the cortex 72 renders them more likely to be shaped by an individual’s environment and experiences 71 , potentially further contributing to their unique spatial patterning across individuals. Encouragingly, this extended window in which association networks remain plastic may also indicate that interventions targeting these systems could be effective in supporting the development of healthy cognition.…”

Section: Discussionmentioning

confidence: 99%

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Personalized functional brain network topography is associated with individual differences in youth cognition

Keller,

Pines,

Shanmugan

et al. 2023

Nat Commun

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Individual differences in cognition during childhood are associated with important social, physical, and mental health outcomes in adolescence and adulthood. Given that cortical surface arealization during development reflects the brain’s functional prioritization, quantifying variation in the topography of functional brain networks across the developing cortex may provide insight regarding individual differences in cognition. We test this idea by defining personalized functional networks (PFNs) that account for interindividual heterogeneity in functional brain network topography in 9–10 year olds from the Adolescent Brain Cognitive Development℠ Study. Across matched discovery (n = 3525) and replication (n = 3447) samples, the total cortical representation of fronto-parietal PFNs positively correlates with general cognition. Cross-validated ridge regressions trained on PFN topography predict cognition in unseen data across domains, with prediction accuracy increasing along the cortex’s sensorimotor-association organizational axis. These results establish that functional network topography heterogeneity is associated with individual differences in cognition before the critical transition into adolescence.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Personalized functional brain network topography is associated with individual differences in youth cognition

Keller,

Pines,

Shanmugan

et al. 2023

Nat Commun

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“…The pattern of gradient variability captured by our analyses is in line with previous publications indicating associative regions as the most variable across individuals throughout multiple imaging modalities (4,7,8,13) . This is likely a consequence of their prolonged postnatal development (15,16) , which makes their connectivity and morphology less subject to genetics and more susceptible to variable environmental influence (5,17) . For instance, sensory projections differ less between individuals compared to long-range fiber tracts (18) , which support long-distance FC distinctive of association areas (19) .…”

Section: Discussionmentioning

confidence: 99%

“…Previous literature has examined these interactions in depth demonstrating that they possess certain stable topological features (1)(2)(3) . However, the human brain also shows a high degree of structural and functional variability across individuals (4) owing to the interaction of genetic and environmental factors (5) .…”

Section: Introductionmentioning

confidence: 99%

Understanding the link between functional profiles and intelligence through dimensionality reduction and graph analysis

Alberti

Menardi

Margulies³

et al. 2023

Preprint

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There is a growing interest in neuroscience for how individual-specific structural and functional features of the cortex relate to cognitive traits. This work builds on previous research which, using classical high-dimensional approaches, has proven that the interindividual variability of functional connectivity profiles reflects differences in fluid intelligence. To provide an additional perspective into this relationship, the present study uses a recent framework for investigating cortical organization: functional gradients. This approach places local connectivity profiles within a common low-dimensional space whose axes are functionally interretable dimensions. Specifically, this study uses a data-driven approach focussing on areas where FC variability is highest across individuals to model different facets of intelligence. For one of these loci, in the right ventral-lateral prefrontal cortex (vlPFC), we describe an association between fluid intelligence and relative functional distance from sensory and high-cognition systems. Furthermore, the topological properties of this region indicate that with decreasing functional affinity with the latter, its functional connections are more evenly distributed across all networks. Participating in multiple functional networks may reflect a better ability to coordinate sensory and high-order cognitive systems.

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“…The second gradient of connectivity reflects a sensory organization (unimodal gradient) anchored at each end by either visual or somato/motor cortex 22,23 . However, while recent evidence suggests a genetic basis for the macro-scale organization of the cortical sheet [24][25][26][27] , the extent to which cellular processes may underpin the functional organization of the brain remain to be established.…”

Section: Introductionmentioning

confidence: 99%

The Cellular Underpinnings of the Human Cortical Connectome

Zhang

Anderson

Dong

et al. 2023

Preprint

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The functional properties of the human brain arise, in part, from the vast assortment of cell types that pattern the cortex. The cortical sheet can be broadly divided into distinct networks, which are further embedded into processing streams, or gradients, that extend from unimodal systems through higher-order association territories. Here, using transcriptional data from the Allen Human Brain Atlas, we demonstrate that imputed cell type distributions are spatially coupled to the functional organization of cortex, as estimated through fMRI. Cortical cellular profiles follow the macro-scale organization of the functional gradients as well as the associated large-scale networks. Distinct cellular fingerprints were evident across networks, and a classifier trained on post-mortem cell-type distributions was able to predict the functional network allegiance of cortical tissue samples. These data indicate that the in vivo organization of the cortical sheet is reflected in the spatial variability of its cellular composition.

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Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment

Cited by 12 publications

References 46 publications

Personalized functional brain network topography is associated with individual differences in youth cognition

Personalized functional brain network topography is associated with individual differences in youth cognition

Understanding the link between functional profiles and intelligence through dimensionality reduction and graph analysis

The Cellular Underpinnings of the Human Cortical Connectome

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