Decoding Inter-individual Relations from Spatial Similarity of Brain Activity

Silke Anders; John Dylan Haynes; Thomas Ethofer

doi:10.1109/WBD.2010.18

Decoding Inter-individual Relations from Spatial Similarity of Brain Activity

Silke Anders^*, John Dylan Haynes, Thomas Ethofer

^*Korrespondierende/r Autor/-in für diese Arbeit

Klinik für Neurologie

Abstract

Classification-based data analysis is receiving increasing attention in neuroimaging. Here we decode the real-life relation between senders and perceivers of facial signals of affect by measuring the similarity of their brain activity during affective communication. Our results show that the brain activity of romantic partners is more similar during ongoing affective communication than the brain activity of strangers, and that this difference can be used to successfully classify romantic partners and strangers.

Originalsprache	Englisch
Titel	2010 First Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging
Seitenumfang	3
Herausgeber (Verlag)	IEEE
Erscheinungsdatum	2010
Seiten	29-31
Aufsatznummer	5581411
ISBN (Print)	978-1-4244-8486-7, 978-0-7695-4133-4
DOIs	https://doi.org/10.1109/WBD.2010.18
Publikationsstatus	Veröffentlicht - 2010
Veranstaltung	Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging 2010 - Istanbul, Türkei Dauer: 22.08.2010 → 22.08.2010 Konferenznummer: 82129

Strategische Forschungsbereiche und Zentren

Forschungsschwerpunkt: Gehirn, Hormone, Verhalten - Center for Brain, Behavior and Metabolism (CBBM)

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10.1109/WBD.2010.18

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title = "Decoding Inter-individual Relations from Spatial Similarity of Brain Activity",

abstract = "Classification-based data analysis is receiving increasing attention in neuroimaging. Here we decode the real-life relation between senders and perceivers of facial signals of affect by measuring the similarity of their brain activity during affective communication. Our results show that the brain activity of romantic partners is more similar during ongoing affective communication than the brain activity of strangers, and that this difference can be used to successfully classify romantic partners and strangers.",

author = "Silke Anders and Haynes, {John Dylan} and Thomas Ethofer",

note = "Copyright: Copyright 2010 Elsevier B.V., All rights reserved.; Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging 2010, WBD 2010 ; Conference date: 22-08-2010 Through 22-08-2010",

year = "2010",

doi = "10.1109/WBD.2010.18",

language = "English",

isbn = "978-1-4244-8486-7",

pages = "29--31",

booktitle = "2010 First Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging",

publisher = "IEEE",

}

Anders, S, Haynes, JD & Ethofer, T 2010, Decoding Inter-individual Relations from Spatial Similarity of Brain Activity. in 2010 First Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging., 5581411, IEEE, S. 29-31, Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging 2010, Istanbul, Türkei, 22.08.10. https://doi.org/10.1109/WBD.2010.18

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T1 - Decoding Inter-individual Relations from Spatial Similarity of Brain Activity

AU - Anders, Silke

AU - Haynes, John Dylan

AU - Ethofer, Thomas

N1 - Conference code: 82129

PY - 2010

Y1 - 2010

N2 - Classification-based data analysis is receiving increasing attention in neuroimaging. Here we decode the real-life relation between senders and perceivers of facial signals of affect by measuring the similarity of their brain activity during affective communication. Our results show that the brain activity of romantic partners is more similar during ongoing affective communication than the brain activity of strangers, and that this difference can be used to successfully classify romantic partners and strangers.

AB - Classification-based data analysis is receiving increasing attention in neuroimaging. Here we decode the real-life relation between senders and perceivers of facial signals of affect by measuring the similarity of their brain activity during affective communication. Our results show that the brain activity of romantic partners is more similar during ongoing affective communication than the brain activity of strangers, and that this difference can be used to successfully classify romantic partners and strangers.

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DO - 10.1109/WBD.2010.18

M3 - Conference contribution

SN - 978-1-4244-8486-7

SN - 978-0-7695-4133-4

SP - 29

EP - 31

BT - 2010 First Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging

PB - IEEE

T2 - Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging 2010

Y2 - 22 August 2010 through 22 August 2010

ER -

Decoding Inter-individual Relations from Spatial Similarity of Brain Activity

Abstract

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