Literature DB >> 24302696

Representations of modality-specific affective processing for visual and auditory stimuli derived from functional magnetic resonance imaging data.

Svetlana V Shinkareva1, Jing Wang, Jongwan Kim, Matthew J Facciani, Laura B Baucom, Douglas H Wedell.   

Abstract

There is converging evidence that people rapidly and automatically encode affective dimensions of objects, events, and environments that they encounter in the normal course of their daily routines. An important research question is whether affective representations differ with sensory modality. This research examined the nature of the dependency of affect and sensory modality at a whole-brain level of analysis in an incidental affective processing paradigm. Participants were presented with picture and sound stimuli that differed in positive or negative valence in an event-related functional magnetic resonance imaging experiment. Global statistical tests, applied at a level of the individual, demonstrated significant sensitivity to valence within modality, but not valence across modalities. Modality-general and modality-specific valence hypotheses predict distinctly different multidimensional patterns of the stimulus conditions. Examination of lower dimensional representation of the data demonstrated separable dimensions for valence processing within each modality. These results provide support for modality-specific valence processing in an incidental affective processing paradigm at a whole-brain level of analysis. Future research should further investigate how stimulus-specific emotional decoding may be mediated by the physical properties of the stimuli.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  STATIS; fMRI; modality; multivariate pattern analysis; valence

Mesh:

Substances:

Year:  2013        PMID: 24302696      PMCID: PMC6869138          DOI: 10.1002/hbm.22421

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  38 in total

1.  Group analysis in functional neuroimaging: selecting subjects using similarity measures.

Authors:  Ferath Kherif; Jean-Baptiste Poline; Sébastien Mériaux; Habib Benali; Guillaume Flandin; Matthew Brett
Journal:  Neuroimage       Date:  2003-12       Impact factor: 6.556

2.  Contributions of stimulus valence and arousal to visual activation during emotional perception.

Authors:  J Mourão-Miranda; E Volchan; J Moll; R de Oliveira-Souza; L Oliveira; I Bramati; R Gattass; L Pessoa
Journal:  Neuroimage       Date:  2003-12       Impact factor: 6.556

Review 3.  Theoretical, statistical, and practical perspectives on pattern-based classification approaches to the analysis of functional neuroimaging data.

Authors:  Alice J O'Toole; Fang Jiang; Hervé Abdi; Nils Pénard; Joseph P Dunlop; Marc A Parent
Journal:  J Cogn Neurosci       Date:  2007-11       Impact factor: 3.225

4.  How to compute reliability estimates and display confidence and tolerance intervals for pattern classifiers using the Bootstrap and 3-way multidimensional scaling (DISTATIS).

Authors:  Hervé Abdi; Joseph P Dunlop; Lynne J Williams
Journal:  Neuroimage       Date:  2008-11-24       Impact factor: 6.556

5.  Brightness differences influence the evaluation of affective pictures.

Authors:  Daniël Lakens; Daniel A Fockenberg; Karin P H Lemmens; Jaap Ham; Cees J H Midden
Journal:  Cogn Emot       Date:  2013-05-03

6.  Comparison of multivariate classifiers and response normalizations for pattern-information fMRI.

Authors:  Masaya Misaki; Youn Kim; Peter A Bandettini; Nikolaus Kriegeskorte
Journal:  Neuroimage       Date:  2010-05-23       Impact factor: 6.556

7.  Real-time support vector classification and feedback of multiple emotional brain states.

Authors:  Ranganatha Sitaram; Sangkyun Lee; Sergio Ruiz; Mohit Rana; Ralf Veit; Niels Birbaumer
Journal:  Neuroimage       Date:  2010-08-06       Impact factor: 6.556

Review 8.  Machine learning classifiers and fMRI: a tutorial overview.

Authors:  Francisco Pereira; Tom Mitchell; Matthew Botvinick
Journal:  Neuroimage       Date:  2008-11-21       Impact factor: 6.556

9.  "Who" is saying "what"? Brain-based decoding of human voice and speech.

Authors:  Elia Formisano; Federico De Martino; Milene Bonte; Rainer Goebel
Journal:  Science       Date:  2008-11-07       Impact factor: 47.728

10.  Decoding abstract and concrete concept representations based on single-trial fMRI data.

Authors:  Jing Wang; Laura B Baucom; Svetlana V Shinkareva
Journal:  Hum Brain Mapp       Date:  2012-01-16       Impact factor: 5.038

View more
  18 in total

1.  Multivariate neural biomarkers of emotional states are categorically distinct.

Authors:  Philip A Kragel; Kevin S LaBar
Journal:  Soc Cogn Affect Neurosci       Date:  2015-03-25       Impact factor: 3.436

2.  Common circuit or paradigm shift? The functional brain in emotional scene perception and emotional imagery.

Authors:  Nicola Sambuco; Margaret M Bradley; David R Herring; Peter J Lang
Journal:  Psychophysiology       Date:  2020-02-03       Impact factor: 4.016

3.  Predictive processing models and affective neuroscience.

Authors:  Kent M Lee; Fernando Ferreira-Santos; Ajay B Satpute
Journal:  Neurosci Biobehav Rev       Date:  2021-09-10       Impact factor: 9.052

4.  Audiovisual Representations of Valence: a Cross-study Perspective.

Authors:  Svetlana V Shinkareva; Chuanji Gao; Douglas Wedell
Journal:  Affect Sci       Date:  2020-11-25

5.  Representing the Good and Bad: fMRI signatures during the encoding of multisensory positive, negative, and neutral events.

Authors:  Preston P Thakral; Ryan Bottary; Elizabeth A Kensinger
Journal:  Cortex       Date:  2022-03-28       Impact factor: 4.644

Review 6.  Deconstructing arousal into wakeful, autonomic and affective varieties.

Authors:  Ajay B Satpute; Philip A Kragel; Lisa Feldman Barrett; Tor D Wager; Marta Bianciardi
Journal:  Neurosci Lett       Date:  2018-01-31       Impact factor: 3.046

Review 7.  Decoding the Nature of Emotion in the Brain.

Authors:  Philip A Kragel; Kevin S LaBar
Journal:  Trends Cogn Sci       Date:  2016-04-25       Impact factor: 20.229

8.  Modality general and modality specific coding of hedonic valence.

Authors:  V Miskovic; A K Anderson
Journal:  Curr Opin Behav Sci       Date:  2018-01-02

9.  Decoding Neural Representations of Affective Scenes in Retinotopic Visual Cortex.

Authors:  Ke Bo; Siyang Yin; Yuelu Liu; Zhenhong Hu; Sreenivasan Meyyappan; Sungkean Kim; Andreas Keil; Mingzhou Ding
Journal:  Cereb Cortex       Date:  2021-05-10       Impact factor: 5.357

Review 10.  Emotional pictures and sounds: a review of multimodal interactions of emotion cues in multiple domains.

Authors:  Antje B M Gerdes; Matthias J Wieser; Georg W Alpers
Journal:  Front Psychol       Date:  2014-12-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.