Functional Realignment of Frontoparietal Subnetworks during Divergent Creative Thinking

Cerebral Cortex, Journal Year: 2021, Volume and Issue: unknown

Published: March 29, 2021

Creative cognition has been consistently associated with functional connectivity between frontoparietal control and default networks. However, recent research identified distinct dynamics for subnetworks within the larger system-one subnetwork (FPCNa) shows positive coupling network another (FPCNb) negative coupling-raising questions about how these networks interact during creative cognition. Here we examine in a large sample of participants (n = 171) who completed divergent thinking task resting-state scan fMRI. We replicated findings on at rest: FPCNa positively correlated FPCNb negatively network. Critically, found that evoked both network, but different ways. Using community detection, regions showed greater coassignment to community. overall stronger network-reflecting reversal rest-and strength FPCNb-default individual ability. These provide novel evidence behavioral benefit cooperation typically anticorrelated brain

Language: Английский

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A data-driven network decomposition of the temporal, spatial, and spectral dynamics underpinning visual-verbal working memory processes

Communications Biology, Journal Year: 2023, Volume and Issue: 6(1)

Published: Oct. 23, 2023

The brain dynamics underlying working memory (WM) unroll via transient frequency-specific large-scale networks. This multidimensionality (time, space, and frequency) challenges traditional analyses. Through an unsupervised technique, the time delay embedded-hidden Markov model (TDE-HMM), we pursue a functional network analysis of magnetoencephalographic data from 38 healthy subjects acquired during n-back task. Here show that this inferred task-specific networks with unique temporal (activation), spectral (phase-coupling connections), spatial (power density distribution) profiles. A theta frontoparietal exerts attentional control encodes stimulus, alpha temporo-occipital rehearses verbal information, broad-band P300-like profile leads retrieval process motor response. Therefore, work provides unified integrated description multidimensional can be interpreted within neuropsychological multi-component WM, improving overall neurophysiological comprehension WM functioning.

Language: Английский

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Homological Landscape of Human Brain Functional Sub-Circuits

Mathematics, Journal Year: 2024, Volume and Issue: 12(3), P. 455 - 455

Published: Jan. 31, 2024

Human whole-brain functional connectivity networks have been shown to exhibit both local/quasilocal (e.g., a set of sub-circuits induced by node or edge attributes) and non-local higher-order coordination patterns) properties. Nonetheless, the properties topological strata yet be addressed. To that end, we proposed homological formalism enables quantification characteristics human brain sub-circuits. Our results indicate each order uniquely unravels diverse, complementary Noticeably, H1 distance between rest motor task was observed at sub-circuit consolidated levels, which suggested self-similarity property unraveled kernel. Furthermore, level, rest–task differentiation found most prominent different tasks orders: (i) Emotion (H0), (ii) Motor (H1), (iii) Working memory (H2). At dichotomy default mode network is mostly first second scaffolds. Also such scale, limbic plays significant role in reconfiguration across subject domains, paves way for subsequent investigations on complex neuro-physiological network. From wider perspective, our can applied, beyond connectomics, study non-localized patterns localized structures stretching fibers.

Language: Английский

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Models of communication and control for brain networks: distinctions, convergence, and future outlook

Network Neuroscience, Journal Year: 2020, Volume and Issue: 4(4), P. 1122 - 1159

Published: Jan. 1, 2020

Recent advances in computational models of signal propagation and routing the human brain have underscored critical role white matter structure. A complementary approach has utilized framework network control theory to better understand how constrains manner which a region or set regions can direct activity other regions. Despite potential for both these approaches enhance our understanding structure function, little work sought relations between them. Here, we seek explicitly bridge communication principles conceptual review current literature. By drawing comparisons terms level abstraction, dynamical complexity, dependence on attributes, interplay multiple spatiotemporal scales, highlight convergence distinctions two frameworks. Based intertwined nature networks, this provides an integrative perspective field outlines exciting directions future work.

Language: Английский

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Recent developments in representations of the connectome

NeuroImage, Journal Year: 2021, Volume and Issue: 243, P. 118533 - 118533

Published: Aug. 29, 2021

Research into the human connectome (i.e., all connections in brain) with use of resting state functional MRI has rapidly increased popularity recent years, especially growing availability large-scale neuroimaging datasets. The goal this review article is to describe innovations representations that have come about past 8 since 2013 NeuroImage special issue on 'Mapping Connectome'. In period, research shifted from group-level brain parcellations towards characterization individualized and relationships between individual connectomic differences behavioral/clinical variation. Achieving subject-specific accuracy parcel boundaries while retaining cross-subject correspondence challenging, a variety different approaches are being developed meet challenge, including improved alignment, noise reduction, robust group-to-subject mapping approaches. Beyond interest connectome, new data studied complement traditional parcellated representation pairwise distinct regions), such as methods capture overlapping smoothly varying patterns connectivity ('gradients'). These offer complimentary insights inherent organization brain, but challenges for remain. Interpretability will be by future gaining neural mechanisms underlying observations obtained MRI. Validation studies comparing also needed build consensus confidence proceed clinical trials may produce meaningful translation insights.

Language: Английский

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