Brain-to-brain hyperclassification reveals action-specific motor mapping of observed actions in humans

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Brain-to-brain hyperclassification reveals action-specific motor mapping of observed actions in humans. / Smirnov, Dmitry; Lachat, Fanny; Peltola, Tomi; Lahnakoski, Juha; Koistinen, Olli-Pekka; Glerean, Enrico; Vehtari, Aki; Hari, Riitta; Sams, Mikko; Nummenmaa, Lauri.

julkaisussa: PloS one, Vuosikerta 12, Nro 12, e0189508, 11.12.2017.

Tutkimustuotos: Lehtiartikkelivertaisarvioitu

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Smirnov, Dmitry ; Lachat, Fanny ; Peltola, Tomi ; Lahnakoski, Juha ; Koistinen, Olli-Pekka ; Glerean, Enrico ; Vehtari, Aki ; Hari, Riitta ; Sams, Mikko ; Nummenmaa, Lauri. / Brain-to-brain hyperclassification reveals action-specific motor mapping of observed actions in humans. Julkaisussa: PloS one. 2017 ; Vuosikerta 12, Nro 12.

Bibtex - Lataa

@article{d816c841294e4a0f98324b578f542b30,
title = "Brain-to-brain hyperclassification reveals action-specific motor mapping of observed actions in humans",
abstract = "Seeing an action may activate the corresponding action motor code in the observer. It remains unresolved whether seeing and performing an action activates similar action-specific motor codes in the observer and the actor. We used novel hyperclassification approach to reveal shared brain activation signatures of action execution and observation in interacting human subjects. In the first experiment, two {"}actors{"} performed four types of hand actions while their haemodynamic brain activations were measured with 3-T functional magnetic resonance imaging (fMRI). The actions were videotaped and shown to 15 {"}observers{"} during a second fMRI experiment. Eleven observers saw the videos of one actor, and the remaining four observers saw the videos of the other actor. In a control fMRI experiment, one of the actors performed actions with closed eyes, and five new observers viewed these actions. Bayesian canonical correlation analysis was applied to functionally realign observers' and actors' fMRI data. Hyperclassification of the seen actions was performed with Bayesian logistic regression trained on actors' data and tested with observers' data. Without the functional realignment, between-subjects accuracy was at chance level. With the realignment, the accuracy increased on average by 15 percentage points, exceeding both the chance level and the accuracy without functional realignment. The highest accuracies were observed in occipital, parietal and premotor cortices. Hyperclassification exceeded chance level also when the actor did not see her own actions. We conclude that the functional brain activation signatures underlying action execution and observation are partly shared, yet these activation signatures may be anatomically misaligned across individuals.",
author = "Dmitry Smirnov and Fanny Lachat and Tomi Peltola and Juha Lahnakoski and Olli-Pekka Koistinen and Enrico Glerean and Aki Vehtari and Riitta Hari and Mikko Sams and Lauri Nummenmaa",
year = "2017",
month = "12",
day = "11",
doi = "10.1371/journal.pone.0189508",
language = "English",
volume = "12",
journal = "PloS one",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "12",

}

RIS - Lataa

TY - JOUR

T1 - Brain-to-brain hyperclassification reveals action-specific motor mapping of observed actions in humans

AU - Smirnov, Dmitry

AU - Lachat, Fanny

AU - Peltola, Tomi

AU - Lahnakoski, Juha

AU - Koistinen, Olli-Pekka

AU - Glerean, Enrico

AU - Vehtari, Aki

AU - Hari, Riitta

AU - Sams, Mikko

AU - Nummenmaa, Lauri

PY - 2017/12/11

Y1 - 2017/12/11

N2 - Seeing an action may activate the corresponding action motor code in the observer. It remains unresolved whether seeing and performing an action activates similar action-specific motor codes in the observer and the actor. We used novel hyperclassification approach to reveal shared brain activation signatures of action execution and observation in interacting human subjects. In the first experiment, two "actors" performed four types of hand actions while their haemodynamic brain activations were measured with 3-T functional magnetic resonance imaging (fMRI). The actions were videotaped and shown to 15 "observers" during a second fMRI experiment. Eleven observers saw the videos of one actor, and the remaining four observers saw the videos of the other actor. In a control fMRI experiment, one of the actors performed actions with closed eyes, and five new observers viewed these actions. Bayesian canonical correlation analysis was applied to functionally realign observers' and actors' fMRI data. Hyperclassification of the seen actions was performed with Bayesian logistic regression trained on actors' data and tested with observers' data. Without the functional realignment, between-subjects accuracy was at chance level. With the realignment, the accuracy increased on average by 15 percentage points, exceeding both the chance level and the accuracy without functional realignment. The highest accuracies were observed in occipital, parietal and premotor cortices. Hyperclassification exceeded chance level also when the actor did not see her own actions. We conclude that the functional brain activation signatures underlying action execution and observation are partly shared, yet these activation signatures may be anatomically misaligned across individuals.

AB - Seeing an action may activate the corresponding action motor code in the observer. It remains unresolved whether seeing and performing an action activates similar action-specific motor codes in the observer and the actor. We used novel hyperclassification approach to reveal shared brain activation signatures of action execution and observation in interacting human subjects. In the first experiment, two "actors" performed four types of hand actions while their haemodynamic brain activations were measured with 3-T functional magnetic resonance imaging (fMRI). The actions were videotaped and shown to 15 "observers" during a second fMRI experiment. Eleven observers saw the videos of one actor, and the remaining four observers saw the videos of the other actor. In a control fMRI experiment, one of the actors performed actions with closed eyes, and five new observers viewed these actions. Bayesian canonical correlation analysis was applied to functionally realign observers' and actors' fMRI data. Hyperclassification of the seen actions was performed with Bayesian logistic regression trained on actors' data and tested with observers' data. Without the functional realignment, between-subjects accuracy was at chance level. With the realignment, the accuracy increased on average by 15 percentage points, exceeding both the chance level and the accuracy without functional realignment. The highest accuracies were observed in occipital, parietal and premotor cortices. Hyperclassification exceeded chance level also when the actor did not see her own actions. We conclude that the functional brain activation signatures underlying action execution and observation are partly shared, yet these activation signatures may be anatomically misaligned across individuals.

U2 - 10.1371/journal.pone.0189508

DO - 10.1371/journal.pone.0189508

M3 - Article

VL - 12

JO - PloS one

JF - PloS one

SN - 1932-6203

IS - 12

M1 - e0189508

ER -

ID: 16267430