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      Cardiac sympathetic-vagal activity initiates a functional brain–body response to emotional arousal

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          Significance

          We investigate the temporal dynamics of brain and cardiac activities in healthy subjects who underwent an emotional elicitation through videos. We demonstrate that, within the first few seconds, emotional stimuli modulate heartbeat activity, which in turn stimulates an emotion intensity (arousal)–specific cortical response. The emotional processing is then sustained by a bidirectional brain–heart interplay, where the perceived arousal level modulates the amplitude of ascending heart-to-brain neural information flow. These findings may constitute fundamental knowledge linking neurophysiology and psychiatric disorders, including the link between depressive symptoms and cardiovascular disorders.

          Abstract

          A century-long debate on bodily states and emotions persists. While the involvement of bodily activity in emotion physiology is widely recognized, the specificity and causal role of such activity related to brain dynamics has not yet been demonstrated. We hypothesize that the peripheral neural control on cardiovascular activity prompts and sustains brain dynamics during an emotional experience, so these afferent inputs are processed by the brain by triggering a concurrent efferent information transfer to the body. To this end, we investigated the functional brain–heart interplay under emotion elicitation in publicly available data from 62 healthy subjects using a computational model based on synthetic data generation of electroencephalography and electrocardiography signals. Our findings show that sympathovagal activity plays a leading and causal role in initiating the emotional response, in which ascending modulations from vagal activity precede neural dynamics and correlate to the reported level of arousal. The subsequent dynamic interplay observed between the central and autonomic nervous systems sustains the processing of emotional arousal. These findings should be particularly revealing for the psychophysiology and neuroscience of emotions.

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          FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data

          This paper describes FieldTrip, an open source software package that we developed for the analysis of MEG, EEG, and other electrophysiological data. The software is implemented as a MATLAB toolbox and includes a complete set of consistent and user-friendly high-level functions that allow experimental neuroscientists to analyze experimental data. It includes algorithms for simple and advanced analysis, such as time-frequency analysis using multitapers, source reconstruction using dipoles, distributed sources and beamformers, connectivity analysis, and nonparametric statistical permutation tests at the channel and source level. The implementation as toolbox allows the user to perform elaborate and structured analyses of large data sets using the MATLAB command line and batch scripting. Furthermore, users and developers can easily extend the functionality and implement new algorithms. The modular design facilitates the reuse in other software packages.
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            The brain's default mode network.

            The brain's default mode network consists of discrete, bilateral and symmetrical cortical areas, in the medial and lateral parietal, medial prefrontal, and medial and lateral temporal cortices of the human, nonhuman primate, cat, and rodent brains. Its discovery was an unexpected consequence of brain-imaging studies first performed with positron emission tomography in which various novel, attention-demanding, and non-self-referential tasks were compared with quiet repose either with eyes closed or with simple visual fixation. The default mode network consistently decreases its activity when compared with activity during these relaxed nontask states. The discovery of the default mode network reignited a longstanding interest in the significance of the brain's ongoing or intrinsic activity. Presently, studies of the brain's intrinsic activity, popularly referred to as resting-state studies, have come to play a major role in studies of the human brain in health and disease. The brain's default mode network plays a central role in this work.
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              How do you feel--now? The anterior insula and human awareness.

              The anterior insular cortex (AIC) is implicated in a wide range of conditions and behaviours, from bowel distension and orgasm, to cigarette craving and maternal love, to decision making and sudden insight. Its function in the re-representation of interoception offers one possible basis for its involvement in all subjective feelings. New findings suggest a fundamental role for the AIC (and the von Economo neurons it contains) in awareness, and thus it needs to be considered as a potential neural correlate of consciousness.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                pnas
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                19 May 2022
                24 May 2022
                19 May 2022
                : 119
                : 21
                : e2119599119
                Affiliations
                [1] aBioengineering and Robotics Research Center E. Piaggio, University of Pisa , 56122 Pisa, Italy;
                [2] bDepartment of Information Engineering, School of Engineering, University of Pisa , 56122 Pisa, Italy;
                [3] cDepartment of Psychological Science, University of California , Irvine, CA 92697;
                [4] dDepartment of Biomedical Engineering, University of California , Irvine, CA 92617;
                [5] eDepartment of Psychology, The Ohio State University , Columbus, OH 43210;
                [6] fDepartment of General Psychology, University of Padua , 35131 Padua, Italy
                Author notes
                1To whom correspondence may be addressed. Email: diego.candia.r@ 123456ug.uchile.cl or gaetano.valenza@ 123456unipi.it .

                Edited by Joseph LeDoux, New York University, New York, NY; received November 3, 2021; accepted March 28, 2022

                Author contributions: G.V. designed research; D.C.-R., V.C., J.F.T., C.G., and G.V. performed research; D.C.-R. and V.C. analyzed data; and D.C., V.C., J.F.T., C.G., and G.V. wrote the paper.

                Author information
                https://orcid.org/0000-0002-4043-217X
                https://orcid.org/0000-0001-9030-7601
                https://orcid.org/0000-0001-9385-3421
                https://orcid.org/0000-0002-2579-8755
                https://orcid.org/0000-0001-6574-1879
                Article
                202119599
                10.1073/pnas.2119599119
                9173754
                35588453
                a1e4f64a-5e56-4673-8b13-7859add72159
                Copyright © 2022 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                : 28 March 2022
                Page count
                Pages: 12
                Funding
                Funded by: European Commission (EC) 501100000780
                Award ID: 813234
                Award Recipient : Diego Candia-Rivera
                Funded by: Ministero dell''''Istruzione, dell''''Università e della Ricerca (MIUR) 501100003407
                Award ID: TRAINED 2017L2RLZ2002
                Award Recipient : Vincenzo Catrambone Award Recipient : Claudio Gentili Award Recipient : Gaetano Valenza
                Categories
                424
                431
                Biological Sciences
                Neuroscience
                Social Sciences
                Psychological and Cognitive Sciences

                emotion,heart-rate variability,eeg,brain–heart interplay,causal theory

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