Distributed affective space represents multiple emotion categories across the human brain

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Distributed affective space represents multiple emotion categories across the human brain. / Saarimäki, Heini; Ejtehadian, Lara Farzaneh; Glerean, Enrico; Jääskeläinen, Iiro P.; Vuilleumier, Patrik; Sams, Mikko; Nummenmaa, Lauri.

In: Social Cognitive and Affective Neuroscience, Vol. 13, No. 5, 01.05.2018, p. 471-482.

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@article{c0b9e63890774083b88749c1d2c1ec97,
title = "Distributed affective space represents multiple emotion categories across the human brain",
abstract = "The functional organization of human emotion systems as well as their neuroanatomical basis and segregation in the brain remains unresolved. Here, we used pattern classification and hierarchical clustering to characterize the organization of a wide array of emotion categories in the human brain. We induced 14 emotions (6 'basic', e.g. fear and anger; and 8 'nonbasic', e.g. shame and gratitude) and a neutral state using guided mental imagery while participants' brain activity was measured with functional magnetic resonance imaging (fMRI). Twelve out of 14 emotions could be reliably classified from the haemodynamic signals. All emotions engaged a multitude of brain areas, primarily in midline cortices including anterior and posterior cingulate gyri and precuneus, in subcortical regions, and in motor regions including cerebellum and premotor cortex. Similarity of subjective emotional experiences was associated with similarity of the corresponding neural activation patterns. We conclude that different basic and non-basic emotions have distinguishable neural bases characterized by specific, distributed activation patterns in widespread cortical and subcortical circuits. Regionally differentiated engagement of these circuits defines the unique neural activity pattern and the corresponding subjective feeling associated with each emotion.",
keywords = "Emotion, fMRI, MVPA, Pattern classification",
author = "Heini Saarim{\"a}ki and Ejtehadian, {Lara Farzaneh} and Enrico Glerean and J{\"a}{\"a}skel{\"a}inen, {Iiro P.} and Patrik Vuilleumier and Mikko Sams and Lauri Nummenmaa",
year = "2018",
month = "5",
day = "1",
doi = "10.1093/scan/nsy018",
language = "English",
volume = "13",
pages = "471--482",
journal = "Social Cognitive and Affective Neuroscience",
issn = "1749-5016",
publisher = "Oxford University Press",
number = "5",

}

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TY - JOUR

T1 - Distributed affective space represents multiple emotion categories across the human brain

AU - Saarimäki, Heini

AU - Ejtehadian, Lara Farzaneh

AU - Glerean, Enrico

AU - Jääskeläinen, Iiro P.

AU - Vuilleumier, Patrik

AU - Sams, Mikko

AU - Nummenmaa, Lauri

PY - 2018/5/1

Y1 - 2018/5/1

N2 - The functional organization of human emotion systems as well as their neuroanatomical basis and segregation in the brain remains unresolved. Here, we used pattern classification and hierarchical clustering to characterize the organization of a wide array of emotion categories in the human brain. We induced 14 emotions (6 'basic', e.g. fear and anger; and 8 'nonbasic', e.g. shame and gratitude) and a neutral state using guided mental imagery while participants' brain activity was measured with functional magnetic resonance imaging (fMRI). Twelve out of 14 emotions could be reliably classified from the haemodynamic signals. All emotions engaged a multitude of brain areas, primarily in midline cortices including anterior and posterior cingulate gyri and precuneus, in subcortical regions, and in motor regions including cerebellum and premotor cortex. Similarity of subjective emotional experiences was associated with similarity of the corresponding neural activation patterns. We conclude that different basic and non-basic emotions have distinguishable neural bases characterized by specific, distributed activation patterns in widespread cortical and subcortical circuits. Regionally differentiated engagement of these circuits defines the unique neural activity pattern and the corresponding subjective feeling associated with each emotion.

AB - The functional organization of human emotion systems as well as their neuroanatomical basis and segregation in the brain remains unresolved. Here, we used pattern classification and hierarchical clustering to characterize the organization of a wide array of emotion categories in the human brain. We induced 14 emotions (6 'basic', e.g. fear and anger; and 8 'nonbasic', e.g. shame and gratitude) and a neutral state using guided mental imagery while participants' brain activity was measured with functional magnetic resonance imaging (fMRI). Twelve out of 14 emotions could be reliably classified from the haemodynamic signals. All emotions engaged a multitude of brain areas, primarily in midline cortices including anterior and posterior cingulate gyri and precuneus, in subcortical regions, and in motor regions including cerebellum and premotor cortex. Similarity of subjective emotional experiences was associated with similarity of the corresponding neural activation patterns. We conclude that different basic and non-basic emotions have distinguishable neural bases characterized by specific, distributed activation patterns in widespread cortical and subcortical circuits. Regionally differentiated engagement of these circuits defines the unique neural activity pattern and the corresponding subjective feeling associated with each emotion.

KW - Emotion

KW - fMRI

KW - MVPA

KW - Pattern classification

UR - http://www.scopus.com/inward/record.url?scp=85047789023&partnerID=8YFLogxK

U2 - 10.1093/scan/nsy018

DO - 10.1093/scan/nsy018

M3 - Article

VL - 13

SP - 471

EP - 482

JO - Social Cognitive and Affective Neuroscience

JF - Social Cognitive and Affective Neuroscience

SN - 1749-5016

IS - 5

ER -

ID: 25722149