Resolving the Connectome, Spectrally-Specific Functional Connectivity Networks and Their Distinct Contributions to Behavior

Becker, Robert; Hervais-Adelman, Alexis

doi:10.1523/eneuro.0101-20.2020

Cited by 7 publications

(10 citation statements)

References 86 publications

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“…As FC and AC values for this study have been obtained in separate animals, the prediction of AC by FC in a given individual is likely even higher. This suggests that FC metrics could provide estimates for AC in humans, with relevance for science and medicine (Becker and Hervais-Adelman, 2020;Smith et al, 2015). Finally, GC in the gamma band showed a much stronger relation to FLNe in the feedforward than in the feedback direction, and conversely, GC in the beta band showed no significant relation to feedforward, but a sizeable relation to feedback FLNe.…”

Section: Discussionmentioning

confidence: 92%

“…The present work reveals the differential relation between anatomical connectivity and rhythmbased functional connectivity in different frequency bands, and it presents band-wise connectomes for large parts of the brain surface. Intriguingly, recent evidence suggests differential links between the band-wise human connectomes and individual behavioral measures (Becker and Hervais-Adelman, 2020).…”

Section: Discussionmentioning

confidence: 99%

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The role of anatomical connection strength for interareal communication in macaque cortex

Vezoli

Vinck

et al. 2020

Preprint

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What is the relationship between anatomical connection strength and rhythmic synchronization? Simultaneous recordings of 15 cortical areas in two macaque monkeys show that interareal networks are functionally organized in spatially distinct modules with specific synchronization frequencies, i.e. frequency-specific functional connectomes. We relate the functional interactions between 91 area pairs to their anatomical connection strength defined in a separate cohort of twenty six subjects. This reveals that anatomical connection strength predicts rhythmic synchronization and vice-versa, in a manner that is specific for frequency bands and for the feedforward versus feedback direction, even if interareal distances are taken into account. These results further our understanding of structure-function relationships in large-scale networks covering different modality-specific brain regions and provide strong constraints on mechanistic models of brain function. Because this approach can be adapted to non-invasive techniques, it promises to open new perspectives on the functional organization of the human brain.

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Section: Discussionmentioning

confidence: 92%

Section: Discussionmentioning

confidence: 99%

The role of anatomical connection strength for interareal communication in macaque cortex

Vezoli

Vinck

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…As FC and AC values for this study have been obtained in separate animals, the prediction of AC by FC in a given individual is likely even higher. This suggests that FC metrics could provide estimates for AC in humans, with relevance for science and medicine ( Becker and Hervais-Adelman, 2020 ; Smith et al., 2015 ). Finally, GC in the gamma band showed a much stronger relation to FLNe in the feedforward than in the feedback direction, and conversely, GC in the beta band showed no significant relation to feedforward, but did show a sizeable relation to feedback FLNe.…”

Section: Discussionmentioning

confidence: 99%

Brain rhythms define distinct interaction networks with differential dependence on anatomy

Vezoli

Vinck

Bosman

et al. 2021

Neuron

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“…Even more evident, however, is the beta network predicting development of L2 accuracy, which included LH parietal, central and paracentral as well as sensorimotor areas. These areas characterize the typical beta rs network, and while they are commonly involved in motor skills, they have also been associated with performance in working memory, inhibition, attention and, importantly, speech tasks 50 . The fact that this left-lateralized temporo-parietal network was associated with L2 Accuracy, in particular, is in line with studies showing similar activations during morpho-syntactic and morpho-semantic processing, both of which were strongly involved in our measure of L2 Accuracy 51 , 52 .…”

Section: Discussionmentioning

confidence: 99%

Global and localized network characteristics of the resting brain predict and adapt to foreign language learning in older adults

Kliesch

Becker

Hervais-Adelman

2022

Sci Rep

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Resting brain (rs) activity has been shown to be a reliable predictor of the level of foreign language (L2) proficiency younger adults can achieve in a given time-period. Since rs properties change over the lifespan, we investigated whether L2 attainment in older adults (aged 64–74 years) is also predicted by individual differences in rs activity, and to what extent rs activity itself changes as a function of L2 proficiency. To assess how neuronal assemblies communicate at specific frequencies to facilitate L2 development, we examined localized and global measures (Minimum Spanning Trees) of connectivity. Results showed that central organization within the beta band (~ 13–29.5 Hz) predicted measures of L2 complexity, fluency and accuracy, with the latter additionally predicted by a left-lateralized centro-parietal beta network. In contrast, reduced connectivity in a right-lateralized alpha (~ 7.5–12.5 Hz) network predicted development of L2 complexity. As accuracy improved, so did central organization in beta, whereas fluency improvements were reflected in localized changes within an interhemispheric beta network. Our findings highlight the importance of global and localized network efficiency and the role of beta oscillations for L2 learning and suggest plasticity even in the ageing brain. We interpret the findings against the background of networks identified in socio-cognitive processes.

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Resolving the Connectome, Spectrally-Specific Functional Connectivity Networks and Their Distinct Contributions to Behavior

Abstract: We are grateful to Steve Smith and colleagues for sharing the code of their HCP-fMRI CCA study online (Smith et al., 2015).

Cited by 7 publications

References 86 publications

The role of anatomical connection strength for interareal communication in macaque cortex

The role of anatomical connection strength for interareal communication in macaque cortex

Brain rhythms define distinct interaction networks with differential dependence on anatomy

Global and localized network characteristics of the resting brain predict and adapt to foreign language learning in older adults

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