Striving toward translation: strategies for reliable fMRI measurement DOI Creative Commons
Maxwell L. Elliott, Annchen R. Knodt, Ahmad R. Hariri

et al.

Trends in Cognitive Sciences, Journal Year: 2021, Volume and Issue: 25(9), P. 776 - 787

Published: June 14, 2021

Language: Английский

Towards a Universal Taxonomy of Macro-scale Functional Human Brain Networks DOI
Lucina Q. Uddin, B.T. Thomas Yeo, R. Nathan Spreng

et al.

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

Published: Nov. 1, 2019

Language: Английский

Citations

588

Individual Variation in Functional Topography of Association Networks in Youth DOI Creative Commons
Zaixu Cui, Hongming Li, Cedric Huchuan Xia

et al.

Neuron, Journal Year: 2020, Volume and Issue: 106(2), P. 340 - 353.e8

Published: Feb. 19, 2020

Language: Английский

Citations

238

Integrative and Network-Specific Connectivity of the Basal Ganglia and Thalamus Defined in Individuals DOI Creative Commons
Deanna J. Greene, Scott Marek, Evan M. Gordon

et al.

Neuron, Journal Year: 2019, Volume and Issue: 105(4), P. 742 - 758.e6

Published: Dec. 10, 2019

Language: Английский

Citations

202

Global waves synchronize the brain’s functional systems with fluctuating arousal DOI Creative Commons
Ryan V. Raut, Abraham Z. Snyder, Anish Mitra

et al.

Science Advances, Journal Year: 2021, Volume and Issue: 7(30)

Published: July 21, 2021

Traveling waves spatiotemporally organize brain-wide activity in synchrony with ongoing arousal fluctuations.

Language: Английский

Citations

190

Individual-Specific Areal-Level Parcellations Improve Functional Connectivity Prediction of Behavior DOI
Ru Kong, Qing Yang, Evan M. Gordon

et al.

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

Citations

182

Defining Individual-Specific Functional Neuroanatomy for Precision Psychiatry DOI
Caterina Gratton, Brian Kraus, Deanna J. Greene

et al.

Biological Psychiatry, Journal Year: 2019, Volume and Issue: 88(1), P. 28 - 39

Published: Nov. 7, 2019

Language: Английский

Citations

165

The development of theta and alpha neural oscillations from ages 3 to 24 years DOI Creative Commons
Dillan Cellier, Justin Riddle, Isaac T. Petersen

et al.

Developmental Cognitive Neuroscience, Journal Year: 2021, Volume and Issue: 50, P. 100969 - 100969

Published: May 31, 2021

Intrinsic, unconstrained neural activity exhibits rich spatial, temporal, and spectral organization that undergoes continuous refinement from childhood through adolescence. The goal of this study was to investigate the development theta (4−8 Hertz) alpha (8−12 oscillations early adulthood (years 3–24), as these play a fundamental role in cognitive function. We analyzed eyes-open, resting-state EEG data 96 participants estimate genuine separately aperiodic (1/f) signal. examined age-related differences signal (slope offset), well peak frequency power dominant posterior oscillation. For signal, we found both slope offset decreased with age. oscillation, frequency, but not power, increased Critically, (ages 3–7) characterized by dominance electrodes, whereas oscillation range between ages 7 24. Furthermore, displayed topographical transition electrodes anterior adulthood. Our results provide quantitative description oscillations.

Language: Английский

Citations

160

Functional reorganization of brain networks across the human menstrual cycle DOI Creative Commons
Laura Pritschet, Tyler Santander, Caitlin M. Taylor

et al.

NeuroImage, Journal Year: 2020, Volume and Issue: 220, P. 117091 - 117091

Published: July 1, 2020

The brain is an endocrine organ, sensitive to the rhythmic changes in sex hormone production that occurs most mammalian species. In rodents and nonhuman primates, estrogen progesterone's impact on evident across a range of spatiotemporal scales. Yet, influence hormones functional architecture human largely unknown. this dense-sampling, deep phenotyping study, we examine extent which endogenous fluctuations alter intrinsic networks at rest woman who underwent imaging venipuncture for 30 consecutive days. Standardized regression analyses illustrate widespread associations with connectivity. Time-lagged examined temporal directionality these relationships suggest cortical network dynamics (particularly Default Mode Dorsal Attention Networks, whose hubs are densely populated receptors) preceded-and perhaps driven-by hormonal fluctuations. A similar pattern was observed follow-up study one year later. Together, results reveal nature reorganize menstrual cycle. Neuroimaging studies sample individual connectome have begun transform our understanding brain's organization. As indicate, taking factors into account critical fully brain.

Language: Английский

Citations

156

Rapid Precision Functional Mapping of Individuals Using Multi-Echo fMRI DOI Creative Commons
Charles J. Lynch, Jonathan D. Power, Matthew A. Scult

et al.

Cell Reports, Journal Year: 2020, Volume and Issue: 33(12), P. 108540 - 108540

Published: Dec. 1, 2020

Resting-state functional magnetic resonance imaging (fMRI) is widely used in cognitive and clinical neuroscience, but long-duration scans are currently needed to reliably characterize individual differences connectivity (FC) brain network topology. In this report, we demonstrate that multi-echo fMRI can improve the reliability of FC-based measurements. four densely sampled humans, just 10 min data yielded better test-retest than 30 single-echo independent datasets. This effect pronounced clinically important regions, including subgenual cingulate, basal ganglia, cerebellum, linked three biophysical signal mechanisms (thermal noise, regional variability rate T2∗ decay, S0-dependent artifacts) with spatially distinct influences. Together, these findings establish potential utility for rapid precision mapping using experimentally tractable scan times will facilitate longitudinal neuroimaging populations.

Language: Английский

Citations

145

Challenges and future directions for representations of functional brain organization DOI
Janine Bijsterbosch, Samuel J. Harrison, Saâd Jbabdi

et al.

Nature Neuroscience, Journal Year: 2020, Volume and Issue: 23(12), P. 1484 - 1495

Published: Oct. 26, 2020

Language: Английский

Citations

144