Subject identification using edge-centric functional connectivity DOI Creative Commons
Youngheun Jo, Joshua Faskowitz, Farnaz Zamani Esfahlani

et al.

NeuroImage, Journal Year: 2021, Volume and Issue: 238, P. 118204 - 118204

Published: June 1, 2021

Group-level studies do not capture individual differences in network organization, an important prerequisite for understanding neural substrates shaping behavior and developing interventions clinical conditions. Recent have employed 'fingerprinting' analyses on functional connectivity to identify subjects' idiosyncratic features. Here, we develop a complementary approach based edge-centric model of connectivity, which focuses the co-fluctuations edges. We first show whole-brain edge (eFC) be robust substrate that improves identifiability over nodal FC (nFC) across different datasets parcellations. Next, characterize at spatial scales, from single nodes level systems clusters using k-means clustering. Across find heteromodal brain regions exhibit consistently greater than unimodal, sensorimotor, limbic regions. Lastly, can further improved by reconstructing eFC specific subsets its principal components. In summary, our results highlight utility capturing meaningful subject-specific features sets stage future investigations into models.

Language: Английский

A Domain-General Cognitive Core Defined in Multimodally Parcellated Human Cortex DOI Creative Commons
Moataz Assem,

Matthew F. Glasser,

David C. Van Essen

et al.

Cerebral Cortex, Journal Year: 2020, Volume and Issue: 30(8), P. 4361 - 4380

Published: Jan. 22, 2020

Numerous brain imaging studies identified a domain-general or "multiple-demand" (MD) activation pattern accompanying many tasks and may play core role in cognitive control. Though this finding is well established, the limited spatial localization provided by traditional methods precluded consensus regarding precise anatomy, functional differentiation, connectivity of MD system. To address these limitations, we used data from 449 subjects Human Connectome Project, with cortex each individual parcellated using neurobiologically grounded multimodal MRI features. The conjunction three contrasts reveals 10 widely distributed parcels per hemisphere that are most strongly activated functionally interconnected, surrounded penumbra 17 additional areas. Outside cerebral cortex, prominent caudate cerebellum. Comparison canonical resting-state networks shows regions concentrated fronto-parietal network but also engaging other networks. activations show modest relative task preferences strong co-recruitment. With anatomical organization, mosaic preferences, interconnectivity, suggest positioned to integrate assemble diverse components operations. Our delineation provides basis for refined analyses their functions.

Language: Английский

Citations

293
20 years of the default mode network: A review and synthesis DOI Open Access
Vinod Menon

Neuron, Journal Year: 2023, Volume and Issue: 111(16), P. 2469 - 2487

Published: May 10, 2023

Language: Английский

Citations

284
A set of functionally-defined brain regions with improved representation of the subcortex and cerebellum DOI Creative Commons
Benjamin A. Seitzman, Caterina Gratton, Scott Marek

et al.

NeuroImage, Journal Year: 2019, Volume and Issue: 206, P. 116290 - 116290

Published: Oct. 18, 2019

An important aspect of network-based analysis is robust node definition. This issue critical for functional brain network analyses, as poor choice can lead to spurious findings and misleading inferences about organization. Two sets nodes from our group are well represented in the literature: (1) 264 volumetric regions interest (ROIs) reported Power et al., 2011, (2) 333 cortical surface parcels Gordon 2016. However, subcortical cerebellar structures either incompletely captured or missing these ROI sets. Therefore, properties organization involving subcortex cerebellum may be underappreciated thus far. Here, we apply a winner-take-all partitioning method resting-state fMRI data generate novel functionally-constrained ROIs thalamus, basal ganglia, amygdala, hippocampus, cerebellum. We validate three datasets using several criteria, including agreement with existing literature anatomical atlases. Further, demonstrate that combining established recapitulates extends previously described new set made publicly available general use, full list MNI coordinates labels.

Language: Английский

Citations

207
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

204
Revisiting the Functional Anatomy of the Human Brain: Toward a Meta-Networking Theory of Cerebral Functions DOI
Guillaume Herbet, Hugues Duffau

Physiological Reviews, Journal Year: 2020, Volume and Issue: 100(3), P. 1181 - 1228

Published: Feb. 20, 2020

For more than one century, brain processing was mainly thought in a localizationist framework, which given function underpinned by discrete, isolated cortical area, and with similar cerebral organization across individuals. However, advances mapping techniques humans have provided new insights into the organizational principles of anatomo-functional architecture. Here, we review recent findings gained from neuroimaging, electrophysiological, as well lesion studies. Based on these data connectome, challenge traditional, outdated view propose an alternative meta-networking theory. This model holds that complex cognitions behaviors arise spatiotemporal integration distributed but relatively specialized networks underlying conation cognition (e.g., language, spatial cognition). Dynamic interactions between such circuits result perpetual succession equilibrium states, opening door to considerable interindividual behavioral variability neuroplastic phenomena. Indeed, underlies uniquely human propensity learn abilities, also explains how postlesional reshaping can lead some degrees functional compensation brain-damaged patients. We discuss major implications this approach fundamental neurosciences for clinical developments, especially neurology, psychiatry, neurorehabilitation, restorative neurosurgery.

Language: Английский

Citations

193
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
Default-mode network streams for coupling to language and control systems DOI Open Access
Evan M. Gordon, Timothy O. Laumann, Scott Marek

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2020, Volume and Issue: 117(29), P. 17308 - 17319

Published: July 6, 2020

Significance The human brain is organized into large networks. One important network the Default network, which enables cognitive functions such as social thinking, memory, and reward. In group-averaged data, this emerges a unitary whole, despite its involvement in multiple functions. Here, we tested whether networks found individual humans, rather than group-average networks, contain substructure. individuals, consistently nine subnetworks within network. These matched activity patterns during tasks. Some resembled circuits involved specific Others linked to other summary, study describes set of humans.

Language: Английский

Citations

149
Intrinsic connectivity reveals functionally distinct cortico-hippocampal networks in the human brain DOI Creative Commons
Alexander J. Barnett, Walter Reilly, Halle R. Dimsdale-Zucker

et al.

PLoS Biology, Journal Year: 2021, Volume and Issue: 19(6), P. e3001275 - e3001275

Published: June 2, 2021

Episodic memory depends on interactions between the hippocampus and interconnected neocortical regions. Here, using data-driven analyses of resting-state functional magnetic resonance imaging (fMRI) data, we identified networks that interact with hippocampus-the default mode network (DMN) a "medial temporal network" (MTN) included regions in medial lobe (MTL) precuneus. We observed MTN plays critical role connecting visual to DMN hippocampus. The could be further divided into 3 subnetworks: "posterior medial" (PM) subnetwork comprised posterior cingulate lateral parietal cortices; an "anterior temporal" (AT) temporopolar dorsomedial prefrontal cortex; prefrontal" (MP) primarily cortex (mPFC). These vary their connectivity (FC) along hippocampal long axis represent different kinds information during memory-guided decision-making. Finally, Neurosynth meta-analysis fMRI studies suggests new hypotheses regarding functions subnetworks, providing framework guide future research neural architecture episodic memory.

Language: Английский

Citations

107
Functional connectomics in depression: insights into therapies DOI Creative Commons
Ya Chai, Yvette I. Sheline, Desmond J. Oathes

et al.

Trends in Cognitive Sciences, Journal Year: 2023, Volume and Issue: 27(9), P. 814 - 832

Published: June 5, 2023

Language: Английский

Citations

52
A precision functional atlas of personalized network topography and probabilities DOI Creative Commons
Robert Hermosillo, Lucille A. Moore, Eric Feczko

et al.

Nature Neuroscience, Journal Year: 2024, Volume and Issue: 27(5), P. 1000 - 1013

Published: March 26, 2024

Abstract Although the general location of functional neural networks is similar across individuals, there vast person-to-person topographic variability. To capture this, we implemented precision brain mapping magnetic resonance imaging methods to establish an open-source, method-flexible set network atlases—the Masonic Institute for Developing Brain (MIDB) Precision Atlas. This atlas evolving resource comprising 53,273 individual-specific maps, from more than 9,900 ages and cohorts, including Adolescent Cognitive Development study, Developmental Human Connectome Project others. We also generated probabilistic maps multiple integration zones (using a new overlapping technique, Overlapping MultiNetwork Imaging). Using regions high invariance improved reproducibility executive function statistical in brain-wide associations compared group average-based parcellations. Finally, provide potential use case targeted neuromodulation. The expandable alternative datasets with online interface encouraging scientific community explore contribute understanding human precisely.

Language: Английский

Citations

24