Literature DB >> 24509492

Exploring emotions using invasive methods: review of 60 years of human intracranial electrophysiology.

Sean A Guillory1, Krzysztof A Bujarski2.   

Abstract

Over the past 60 years, human intracranial electrophysiology (HIE) has been used to characterize seizures in patients with epilepsy. Secondary to the clinical objectives, electrodes implanted intracranially have been used to investigate mechanisms of human cognition. In addition to studies of memory and language, HIE methods have been used to investigate emotions. The aim of this review is to outline the contribution of HIE (electrocorticography, single-unit recording and electrical brain stimulation) to our understanding of the neural representations of emotions. We identified 64 papers dating back to the mid-1950s which used HIE techniques to study emotional states. Evidence from HIE studies supports the existence of widely distributed networks in the neocortex, limbic/paralimbic regions and subcortical nuclei which contribute to the representation of emotional states. In addition, evidence from HIE supports hemispheric dominance for emotional valence. Furthermore, evidence from HIE supports the existence of overlapping neural areas for emotion perception, experience and expression. Lastly, HIE provides unique insights into the temporal dynamics of neural activation during perception, experience and expression of emotional states. In conclusion, we propose that HIE techniques offer important evidence which must be incorporated into our current models of emotion representation in the human brain.
© The Author (2014). Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  EEG; electrophysiology; emotion; epilepsy; intracranial; laughter; microelectrodes; mirth; social; stimulation

Mesh:

Year:  2014        PMID: 24509492      PMCID: PMC4249472          DOI: 10.1093/scan/nsu002

Source DB:  PubMed          Journal:  Soc Cogn Affect Neurosci        ISSN: 1749-5016            Impact factor:   3.436


  107 in total

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2.  Localization of discharge in temporal lobe automatism.

Authors:  W FEINDEL; W PENFIELD
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5.  Electric current stimulates laughter.

Authors:  I Fried; C L Wilson; K A MacDonald; E J Behnke
Journal:  Nature       Date:  1998-02-12       Impact factor: 49.962

6.  Recognition of facial emotion in nine individuals with bilateral amygdala damage.

Authors:  R Adolphs; D Tranel; S Hamann; A W Young; A J Calder; E A Phelps; A Anderson; G P Lee; A R Damasio
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7.  Temporal precedence of emotion over attention modulations in the lateral amygdala: Intracranial ERP evidence from a patient with temporal lobe epilepsy.

Authors:  Gilles Pourtois; Laurent Spinelli; Margitta Seeck; Patrik Vuilleumier
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8.  Acute alteration of emotional behaviour in epileptic seizures is related to transient desynchrony in emotion-regulation networks.

Authors:  Fabrice Bartolomei; Agnes Trébuchon; Martine Gavaret; Jean Régis; Fabrice Wendling; Patrick Chauvel
Journal:  Clin Neurophysiol       Date:  2005-10       Impact factor: 3.708

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Journal:  Neuropsychologia       Date:  2009-12-11       Impact factor: 3.139

10.  Mirth, laughter and gelastic seizures.

Authors:  S Arroyo; R P Lesser; B Gordon; S Uematsu; J Hart; P Schwerdt; K Andreasson; R S Fisher
Journal:  Brain       Date:  1993-08       Impact factor: 13.501

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  39 in total

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2.  Intrinsic connectivity in the human brain does not reveal networks for 'basic' emotions.

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3.  The Brain Basis of Positive and Negative Affect: Evidence from a Meta-Analysis of the Human Neuroimaging Literature.

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4.  Cognitive tasks and human ambulatory electrocorticography using the RNS System.

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6.  Multivoxel Pattern Analysis Does Not Provide Evidence to Support the Existence of Basic Emotions.

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Authors:  Haeme R P Park; Mariam Kostandyan; C Nico Boehler; Ruth M Krebs
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8.  Human amygdala stimulation effects on emotion physiology and emotional experience.

Authors:  Cory S Inman; Kelly R Bijanki; David I Bass; Robert E Gross; Stephan Hamann; Jon T Willie
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Review 9.  Deconstructing arousal into wakeful, autonomic and affective varieties.

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Review 10.  Decoding the Nature of Emotion in the Brain.

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