Driving the brain towards creativity and intelligence: A network control theory analysis DOI
Yoed N. Kenett, John D. Medaglia, Roger E. Beaty

et al.

Neuropsychologia, Journal Year: 2018, Volume and Issue: 118, P. 79 - 90

Published: Jan. 4, 2018

Language: Английский

Functional Brain Networks Are Dominated by Stable Group and Individual Factors, Not Cognitive or Daily Variation DOI Creative Commons
Caterina Gratton, Timothy O. Laumann, Ashley N. Nielsen

et al.

Neuron, Journal Year: 2018, Volume and Issue: 98(2), P. 439 - 452.e5

Published: April 1, 2018

Language: Английский

Citations

855

Communication dynamics in complex brain networks DOI
Andrea Avena‐Koenigsberger, Bratislav Mišić, Olaf Sporns

et al.

Nature reviews. Neuroscience, Journal Year: 2017, Volume and Issue: 19(1), P. 17 - 33

Published: Dec. 14, 2017

Language: Английский

Citations

814

Emotion and the prefrontal cortex: An integrative review. DOI
Matthew L. Dixon,

Ravi Thiruchselvam,

Rebecca M. Todd

et al.

Psychological Bulletin, Journal Year: 2017, Volume and Issue: 143(10), P. 1033 - 1081

Published: June 15, 2017

The prefrontal cortex (PFC) plays a critical role in the generation and regulation of emotion. However, we lack an integrative framework for understanding how different emotion-related functions are organized across entire expanse PFC, as prior reviews have generally focused on specific emotional processes (e.g., decision making) or anatomical regions orbitofrontal cortex). Additionally, psychological theories neuroscientific investigations proceeded largely independently because common framework. Here, provide comprehensive review functional neuroimaging, electrophysiological, lesion, structural connectivity studies 8 subregions spanning PFC. We introduce appraisal-by-content model, which provides new integrating diverse range empirical findings. Within this framework, appraisal serves unifying principle PFC's emotion, while relative content-specialization differentiating each subregion. A synthesis data from affective, social, cognitive neuroscience suggests that PFC preferentially involved assigning value to types inputs: exteroceptive sensations, episodic memories imagined future events, viscero-sensory signals, viscero-motor actions, others' mental states intentions), self-related information, ongoing emotions. discuss implications emotion regulation, value-based making, salience, refining theoretical models This unified generates hypotheses about mechanisms underlying adaptive maladaptive functioning. (PsycINFO Database Record

Language: Английский

Citations

597

Frontal Cortex and the Hierarchical Control of Behavior DOI Creative Commons
David Badre, Derek Evan Nee

Trends in Cognitive Sciences, Journal Year: 2017, Volume and Issue: 22(2), P. 170 - 188

Published: Dec. 9, 2017

Language: Английский

Citations

541

Mapping the human brain's cortical-subcortical functional network organization DOI
Jie Lisa Ji,

Marjolein Spronk,

Kaustubh Kulkarni

et al.

NeuroImage, Journal Year: 2018, Volume and Issue: 185, P. 35 - 57

Published: Oct. 3, 2018

Language: Английский

Citations

530

The role of PFC networks in cognitive control and executive function DOI Open Access
Vinod Menon, Mark D’Esposito

Neuropsychopharmacology, Journal Year: 2021, Volume and Issue: 47(1), P. 90 - 103

Published: Aug. 18, 2021

Language: Английский

Citations

376

Advancing functional connectivity research from association to causation DOI
Andrew Reid, Drew B. Headley, Ravi D. Mill

et al.

Nature Neuroscience, Journal Year: 2019, Volume and Issue: 22(11), P. 1751 - 1760

Published: Oct. 14, 2019

Language: Английский

Citations

307

General functional connectivity: Shared features of resting-state and task fMRI drive reliable and heritable individual differences in functional brain networks DOI Creative Commons
Maxwell L. Elliott, Annchen R. Knodt, Megan Cooke

et al.

NeuroImage, Journal Year: 2019, Volume and Issue: 189, P. 516 - 532

Published: Jan. 30, 2019

Intrinsic connectivity, measured using resting-state fMRI, has emerged as a fundamental tool in the study of human brain. However, due to practical limitations, many studies do not collect enough data generate reliable measures intrinsic connectivity necessary for studying individual differences. Here we present general functional (GFC) method leveraging shared features across and task fMRI demonstrate Human Connectome Project Dunedin Study that GFC offers better test-retest reliability than estimated from same amount alone. Furthermore, at equivalent scan lengths, displayed higher estimates heritability connectivity. We also found predictions cognitive ability generalized datasets, performing well or Collectively, our work suggests can improve existing datasets and, subsequently, opportunity identify meaningful correlates differences behavior. Given are often collected together, researchers immediately derive more through adoption rather solely data. Moreover, by capturing heritable variation represents novel endophenotype with broad applications clinical neuroscience biomarker discovery.

Language: Английский

Citations

306

Task activations produce spurious but systematic inflation of task functional connectivity estimates DOI
Michael W. Cole, Takuya Ito, Douglas H. Schultz

et al.

NeuroImage, Journal Year: 2018, Volume and Issue: 189, P. 1 - 18

Published: Dec. 28, 2018

Language: Английский

Citations

206

Developmental increases in white matter network controllability support a growing diversity of brain dynamics DOI Creative Commons
Evelyn Tang, Chad Giusti,

Graham L. Baum

et al.

Nature Communications, Journal Year: 2017, Volume and Issue: 8(1)

Published: Oct. 26, 2017

As the human brain develops, it increasingly supports coordinated control of neural activity. The mechanism by which white matter evolves to support this coordination is not well understood. We use a network representation diffusion imaging data from 882 youth ages 8 22 show that connectivity becomes optimized for diverse range predicted dynamics in development. Notably, stable controllers subcortical areas are negatively related cognitive performance. Investigating structural mechanisms supporting these changes, we simulate evolution with set growth rules. find all networks structured manner highly control, distinct child versus older youth. demonstrate our results cannot be simply explained changes modularity. This work reveals possible development preferentially optimizes dynamic over static architecture.

Language: Английский

Citations

194