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

Brain Topography, Journal Year: 2019, Volume and Issue: 32(6), P. 926 - 942

Published: Nov. 1, 2019

Language: Английский

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Individual-Specific Areal-Level Parcellations Improve Functional Connectivity Prediction of Behavior

Cerebral Cortex, Journal Year: 2021, Volume and Issue: 31(10), P. 4477 - 4500

Published: March 31, 2021

Resting-state functional magnetic resonance imaging (rs-fMRI) allows estimation of individual-specific cortical parcellations. We have previously developed a multi-session hierarchical Bayesian model (MS-HBM) for estimating high-quality network-level Here, we extend the to estimate areal-level While parcellations comprise spatially distributed networks spanning cortex, consensus is that parcels should be localized, is, not span multiple lobes. There disagreement about whether strictly contiguous or noncontiguous components; therefore, considered three MS-HBM variants these range possibilities. Individual-specific estimated using 10 min data generalized better than other approaches 150 out-of-sample rs-fMRI and task-fMRI from same individuals. connectivity derived also achieved best behavioral prediction performance. Among variants, exhibited resting-state homogeneity most uniform within-parcel task activation. In terms prediction, gradient-infused was numerically best, but differences among were statistically significant. Overall, results suggest MS-HBMs can capture behaviorally meaningful parcellation features beyond group-level Multi-resolution trained models are publicly available (https://github.com/ThomasYeoLab/CBIG/tree/master/stable_projects/brain_parcellation/Kong2022_ArealMSHBM).

Language: Английский

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A practical guide to methodological considerations in the controllability of structural brain networks

Journal of Neural Engineering, Journal Year: 2020, Volume and Issue: 17(2), P. 026031 - 026031

Published: Jan. 22, 2020

Objective. Predicting how the brain can be driven to specific states by means of internal or external control requires a fundamental understanding relationship between neural connectivity and activity. Network theory is powerful tool from physical engineering sciences that provide insights regarding relationship; it formalizes study dynamics complex system arise its underlying structure interconnected units. Approach. Given recent use network in neuroscience, now timely offer practical guide methodological considerations controllability structural networks. Here we systematic overview framework, examine impact modeling choices on frequently studied metrics, suggest potentially useful theoretical extensions. We ground our discussions, numerical demonstrations, advances dataset high-resolution diffusion imaging with 730 directions acquired over approximately 1 h scanning ten healthy young adults. Main results. Following didactic introduction theory, probe selection affects four common statistics: average controllability, modal minimum energy, optimal energy. Next, extend current state-of-the-art two ways: first, developing an alternative measure accounts for radial propagation activity through abutting tissue, second, defining complementary metric quantifying complexity energy landscape system. close recommendations discussion constraints. Significance. Our hope this accessible account will inspire neuroimaging community more fully exploit potential tackling pressing questions cognitive, developmental, clinical neuroscience.

Language: Английский

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Repetitive negative thinking in daily life and functional connectivity among default mode, fronto-parietal, and salience networks

Translational Psychiatry, Journal Year: 2019, Volume and Issue: 9(1)

Published: Sept. 18, 2019

Abstract Repetitive negative thinking (RNT) is a maladaptive response to sadness and transdiagnostic risk-factor. A critical challenge hampering attempts promote more adaptive responses that the between-person characteristics associated with tendency for RNT remain uncharacterized. From perspective of impaired disengagement hypothesis, we examine differences in blood-oxygen-level-dependent (BOLD) functional networks underlying cognitive conflict signaling, self-referential thought, flexibility, association between daily life. We pair magnetic resonance imaging ambulatory assessments deployed 10 times per day over 4 consecutive days measuring momentary from 58 participants (40 female, mean age = 36.69 years; 29 remitted lifetime episode Major Depression) multilevel model. show increases following higher than average between-network connectivity default mode network fronto-parietal network. also lower salience find flexibility network’s pattern connections brain regions protective against sadness. Our findings highlight importance implicated understanding life provide support hypothesis RNT.

Language: Английский

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Brain parcellation selection: An overlooked decision point with meaningful effects on individual differences in resting-state functional connectivity

NeuroImage, Journal Year: 2021, Volume and Issue: 243, P. 118487 - 118487

Published: Aug. 19, 2021

Over the past decade extensive research has examined segregation of human brain into large-scale functional networks. The resulting network maps, i.e. parcellations, are now commonly used for a priori identification However, use these particularly in developmental and clinical samples, hinges on four fundamental assumptions: (1) various parcellations equally able to recover networks interest; (2) adult-derived well represent children's brains; (3) properties, such as within-network connectivity, reliably measured across parcellations; (4) parcellation selection does not impact results with regard individual differences given properties. In present study we assumptions using eight common schemes two independent samples. We found that capture interest both children adults. bearing same name (e.g., default network) do produce reliable measures connectivity. Critically, significantly impacted magnitude associations connectivity age, poverty, cognitive ability, producing meaningful interpretation based choice. Our findings suggest work employing may benefit from multiple confirm robustness generalizability results. Furthermore, researchers looking gain insight more nuanced approaches densely-sampled data individual-derived parcellations. A transition towards precision neuroscience will provide new avenues characterization organization development within populations.

Language: Английский

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Age differences in the functional architecture of the human brain

Cerebral Cortex, Journal Year: 2022, Volume and Issue: 33(1), P. 114 - 134

Published: Jan. 28, 2022

Abstract The intrinsic functional organization of the brain changes into older adulthood. Age differences are observed at multiple spatial scales, from global reductions in modularity and segregation distributed systems, to network-specific patterns dedifferentiation. Whether dedifferentiation reflects an inevitable, shift function with age, circumscribed, experience-dependent changes, or both, is uncertain. We employed a multimethod strategy interrogate scales. Multi-echo (ME) resting-state fMRI was collected younger (n = 181) 120) healthy adults. Cortical parcellation sensitive individual variation implemented for precision mapping each participant while preserving group-level parcel network labels. ME-fMRI processing gradient identified macroscale differences. Multivariate connectivity methods tested microscale, edge-level Older adults had lower BOLD signal dimensionality, consistent Gradients were largely age-invariant. Edge-level analyses revealed discrete, Visual somatosensory regions more integrated within connectome; default frontoparietal control showed greater connectivity; dorsal attention heteromodal regions. These findings highlight importance multiscale, approaches characterize architecture aging.

Language: Английский

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Integrative frontal-parietal dynamics supporting cognitive control

eLife, Journal Year: 2021, Volume and Issue: 10

Published: March 2, 2021

Coordinating among the demands of external environment and internal plans requires cognitive control supported by a fronto-parietal network (FPCN). Evidence suggests that multiple systems span FPCN whose operations are poorly understood. Previously (Nee D’Esposito, 2016; 2017), we detailed frontal dynamics support processing, but left open their role in broader cortical function. Here, I show consists an external/present-oriented to internal/future-oriented gradient extending outwardly from sensory-motor cortices. Areas at ends this act segregative manner, exciting areas same level, suppressing different levels. By contrast, middle excite all levels, promoting integration processing. Individual differences integrative predict higher level ability amenability neuromodulation. These data suggest intermediary zone within underlies processing supports control.

Language: Английский

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A computational model of neurodegeneration in Alzheimer’s disease

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: March 28, 2022

Abstract Disruption of mental functions in Alzheimer’s disease (AD) and related disorders is accompanied by selective degeneration brain regions. These regions comprise large-scale ensembles cells organized into systems for functioning, however the relationship between clinical symptoms dementia, patterns neurodegeneration, functional not clear. Here we present a model association dementia degenerative anatomy using F18-fluorodeoxyglucose PET dimensionality reduction techniques two cohorts patients with AD. This reflected simple information processing-based description macroscale which link to AD physiology, networks, abilities. We further apply normal aging seven diseases functions. propose global processing that links neuroanatomy, cognitive neuroscience neurology.

Language: Английский

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Dissociable multi-scale patterns of development in personalized brain networks

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: May 12, 2022

Abstract The brain is organized into networks at multiple resolutions, or scales, yet studies of functional network development typically focus on a single scale. Here, we derive personalized across 29 scales in large sample youths (n = 693, ages 8–23 years) to identify multi-scale patterns re-organization related neurocognitive development. We found that developmental shifts inter-network coupling reflect and strengthen hierarchy cortical organization. Furthermore, observed scale-dependent effects were present lower-order, unimodal networks, but not higher-order, transmodal networks. Finally, maturation had clear behavioral relevance: the are dissociably emergence executive function. These results suggest align with refine linked cognition.

Language: Английский

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Disorganization of language and working memory systems in frontal versus temporal lobe epilepsy

Brain, Journal Year: 2022, Volume and Issue: 146(3), P. 935 - 953

Published: April 30, 2022

Cognitive impairment is a common comorbidity of epilepsy and adversely impacts people with both frontal lobe (FLE) temporal (TLE) epilepsy. While its neural substrates have been investigated extensively in TLE, functional imaging studies FLE are scarce. In this study, we profiled the processes underlying cognitive directly compared TLE to establish commonalities differences. We 172 adult participants (56 FLE, 64 52 controls) using neuropsychological tests four MRI tasks probing expressive language (verbal fluency, verb generation) working memory visuo-spatial). Patient groups were comparable disease duration anti-seizure medication load. devised multiscale approach map brain activation deactivation during cognition track reorganization TLE. Voxel-based analyses complemented profiling task effects across established motifs organization: (i) canonical resting-state systems; (ii) principal connectivity gradient, which encodes continuous transition regional profiles, anchoring lower-level sensory transmodal areas at opposite ends spectrum. show that associated reduced attentional executive systems, as well default mode system, indicative large-scale disorganization task-related recruitment. The signatures dysfunction broadly similar those but some patterns syndrome-specific: altered default-mode more prominent while impaired recruitment posterior semantic demands marked Functional abnormalities appear overall modulated by On balance, our study elucidates identifies shared syndrome-specific alterations two most focal epilepsies sheds light on system behaviour may be amenable future remediation strategies.

Language: Английский

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