The brain’s default network: updated anatomy, physiology and evolving insights

Nature reviews. Neuroscience, Год журнала: 2019, Номер 20(10), С. 593 - 608

Опубликована: Сен. 6, 2019

Язык: Английский

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Functional Brain Networks Are Dominated by Stable Group and Individual Factors, Not Cognitive or Daily Variation

Neuron, Год журнала: 2018, Номер 98(2), С. 439 - 452.e5

Опубликована: Апрель 1, 2018

Язык: Английский

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The default mode network in cognition: a topographical perspective

Nature reviews. Neuroscience, Год журнала: 2021, Номер 22(8), С. 503 - 513

Опубликована: Июль 5, 2021

Язык: Английский

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On testing for spatial correspondence between maps of human brain structure and function

NeuroImage, Год журнала: 2018, Номер 178, С. 540 - 551

Опубликована: Июнь 1, 2018

Язык: Английский

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Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion

Cerebral Cortex, Год журнала: 2018, Номер 29(6), С. 2533 - 2551

Опубликована: Май 10, 2018

Resting-state functional magnetic resonance imaging (rs-fMRI) offers the opportunity to delineate individual-specific brain networks. A major question is whether network topography (i.e., location and spatial arrangement) behaviorally relevant. Here, we propose a multi-session hierarchical Bayesian model (MS-HBM) for estimating cortical networks investigate can predict human behavior. The multiple layers of MS-HBM explicitly differentiate intra-subject (within-subject) from inter-subject (between-subject) variability. By ignoring variability, previous mappings might confuse variability differences. Compared with other approaches, parcellations generalized better new rs-fMRI task-fMRI data same subjects. More specifically, estimated single session (10 min) showed comparable generalizability as by 2 state-of-the-art methods using 5 sessions (50 min). We also that behavioral phenotypes across cognition, personality, emotion could be predicted modest accuracy, reports predicting based on connectivity strength. Network was more effective prediction than size, well parcellation approaches. Thus, similar strength, serve fingerprint

Язык: Английский

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Towards a Universal Taxonomy of Macro-scale Functional Human Brain Networks

Brain Topography, Год журнала: 2019, Номер 32(6), С. 926 - 942

Опубликована: Ноя. 1, 2019

Язык: Английский

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Mapping the human brain's cortical-subcortical functional network organization

NeuroImage, Год журнала: 2018, Номер 185, С. 35 - 57

Опубликована: Окт. 3, 2018

Язык: Английский

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The default mode network: where the idiosyncratic self meets the shared social world

Nature reviews. Neuroscience, Год журнала: 2021, Номер 22(3), С. 181 - 192

Опубликована: Янв. 22, 2021

Язык: Английский

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Heterogeneity within the frontoparietal control network and its relationship to the default and dorsal attention networks

Proceedings of the National Academy of Sciences, Год журнала: 2018, Номер 115(7)

Опубликована: Янв. 30, 2018

Significance The frontoparietal control network (FPCN) contributes to executive control, the ability deliberately guide action based on goals. While FPCN is often viewed as a unitary domain general system, it possible that contains fine-grained internal organization, with separate zones involved in different types of control. Here, we use graph theory and meta-analytic functional profiling demonstrate composed two subsystems: A connected default regulation introspective processes, whereas B dorsal attention perceptual attention. These findings offer distinct perspective systems-level circuitry underlying cognitive

Язык: Английский

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Microstructural and functional gradients are increasingly dissociated in transmodal cortices

PLoS Biology, Год журнала: 2019, Номер 17(5), С. e3000284 - e3000284

Опубликована: Май 20, 2019

While the role of cortical microstructure in organising neural function is well established, it remains unclear how structural constraints can give rise to more flexible elements cognition. nonhuman primate research has demonstrated a close structure–function correspondence, relationship between and poorly understood humans, part because reliance on post mortem analyses, which cannot be directly related functional data. To overcome this barrier, we developed novel approach model similarity microstructural profiles sampled direction columns. Our was initially formulated based an ultra-high–resolution 3D histological reconstruction entire human brain then translated myelin-sensitive magnetic resonance imaging (MRI) data large cohort healthy adults. This method identified system-level gradient differentiation traversing from primary sensory limbic regions that followed shifts laminar cytoarchitectural complexity. Importantly, while gradients described similar hierarchy, they became increasingly dissociated transmodal default mode fronto–parietal networks. Meta-analytic decoding these topographic dissociations highlighted involvement higher-level aspects cognition, such as cognitive control social findings demonstrate relative decoupling macroscale regions, likely contributes play

Язык: Английский

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