A Network Model of the Emotional Brain
TLDR
The model clarifies why the impact of emotion is wide-ranging, and how emotion is interlocked with perception, cognition, motivation, and action.About:
This article is published in Trends in Cognitive Sciences.The article was published on 2017-05-01 and is currently open access. It has received 248 citations till now. The article focuses on the topics: Cannon–Bard theory & Brain mapping.read more
Citations
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The central extended amygdala in fear and anxiety: Closing the gap between mechanistic and neuroimaging research.
TL;DR: This work opens the door to discovering the mechanisms underlying neuroimaging measures linked to pathological fear and anxiety, to understanding how the Ce and BST interact with one another and with distal brain regions to govern defensive responses to threat, and to developing improved intervention strategies.
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Emotional Processing in Obsessive-Compulsive Disorder: A Systematic Review and Meta-analysis of 25 Functional Neuroimaging Studies
Anders Lillevik Thorsen,Anders Lillevik Thorsen,Pernille Hagland,Pernille Hagland,Joaquim Radua,Joaquim Radua,David Mataix-Cols,Gerd Kvale,Gerd Kvale,Bjarne Hansen,Bjarne Hansen,Odile A. van den Heuvel +11 more
TL;DR: Patients with OCD show increased emotional processing-related activation in limbic, frontal, and temporal regions, and the role of the amygdala in OCD is investigated.
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Anxiety and Threat-Related Attention: Cognitive-Motivational Framework and Treatment.
TL;DR: An updated cognitive-motivational framework is presented, integrating proposals from cognitive models of anxiety and attention, as well as evidence of ABs, which considers ABM training as cognitive skill training.
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Basic Emotions in Human Neuroscience: Neuroimaging and Beyond
Alessia Celeghin,Matteo Diano,Matteo Diano,Arianna Bagnis,Marco Viola,Marco Tamietto,Marco Tamietto,Marco Tamietto +7 more
TL;DR: Evidence in favor of the neurobiological underpinnings of basic emotions outweighs dismissive approaches, and it is proposed that the structure-function relationship between brain and emotions is better described in terms of pluripotentiality.
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Neural correlates of emotion-attention interactions : From perception, learning, and memory to social cognition, individual differences, and training interventions
Florin Dolcos,Yuta Katsumi,Matthew Moore,Nick Berggren,Beatrice de Gelder,Nazanin Derakshan,Alfons O. Hamm,Ernst H. W. Koster,Cecile D. Ladouceur,Hadas Okon-Singer,Alan J. Pegna,Thalia Richter,Susanne Schweizer,Jan Van den Stock,Carlos Ventura-Bort,Mathias Weymar,Sanda Dolcos +16 more
TL;DR: This work analyzed the language used to describe attention-related aspects of emotion, and highlighted terms related to domains such as conscious awareness, motivational effects of attention, social attention, and emotion regulation within a broader review of available evidence regarding the neural correlates of emotion-attention interactions.
References
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Networks: An Introduction
TL;DR: This book brings together for the first time the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas.
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Parallel Organization of Functionally Segregated Circuits Linking Basal Ganglia and Cortex
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A Set of Measures of Centrality Based on Betweenness
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The organization of the human cerebral cortex estimated by intrinsic functional connectivity
B.T. Thomas Yeo,Fenna M. Krienen,Jorge Sepulcre,Jorge Sepulcre,Mert R. Sabuncu,Mert R. Sabuncu,Danial Lashkari,Marisa O. Hollinshead,Marisa O. Hollinshead,Joshua L. Roffman,Jordan W. Smoller,Lilla Zöllei,Jonathan R. Polimeni,Bruce Fischl,Bruce Fischl,Hesheng Liu,Randy L. Buckner +16 more
TL;DR: In this paper, the organization of networks in the human cerebrum was explored using resting-state functional connectivity MRI data from 1,000 subjects and a clustering approach was employed to identify and replicate networks of functionally coupled regions across the cerebral cortex.
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Uncovering the overlapping community structure of complex networks in nature and society
TL;DR: After defining a set of new characteristic quantities for the statistics of communities, this work applies an efficient technique for exploring overlapping communities on a large scale and finds that overlaps are significant, and the distributions introduced reveal universal features of networks.
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