Using a novel motion index to study the neural basis of event segmentation

Frank Pollick, Katie Noble, Nikhil Darshane, Helen Murphy, Donald Glowinski, Phil McAleer, Corinne Jola, Kedzie Penfield, Antonio Camurri

Research output: Contribution to journalMeeting Abstract

Abstract

Our understanding of the perceived actions of those around us includes an ability to segment this continuous stream of activity into discrete events. We studied naïve observers' abilities to segment a video of an unfamiliar dance style into events using a combination of behavioural, computational vision and brain imaging methods. A 386 s video of a solo Bharatanatyam dancer was used as the basis for the study. A computational analysis provided us with, for every video frame, a Motion Index (MI) quantifying the movement of the entire dancer. A behavioural analysis using 30 naïve observers provided us with the time points where observers were most likely to place an event boundary. These behavioural and computational data were used to interpret the brain activity of another 11 participants who viewed the dance video while in an MRI scanner. Results showed that the Motion Index predicted brain activity in a single cluster in the right hemisphere that was located close to the Extrastriate Body Area (EBA). Event boundaries in the video were related to extensive clusters of bilateral activity in the Inferior Occipital Gyrus which extended towards the posterior Superior Temporal Sulcus (pSTS). Event boundaries also activated a region in the right Inferior Frontal Gyrus. These results extend our understanding of how movement kinaesthetics modulate action interpretation.
Original languageEnglish
Pages (from-to)225-225
Number of pages1
Journali-Perception
Volume3
Issue number4
DOIs
Publication statusPublished - 1 May 2012

Cite this

Pollick, F., Noble, K., Darshane, N., Murphy, H., Glowinski, D., McAleer, P., ... Camurri, A. (2012). Using a novel motion index to study the neural basis of event segmentation. i-Perception, 3(4), 225-225. https://doi.org/10.1068/id225
Pollick, Frank ; Noble, Katie ; Darshane, Nikhil ; Murphy, Helen ; Glowinski, Donald ; McAleer, Phil ; Jola, Corinne ; Penfield, Kedzie ; Camurri, Antonio. / Using a novel motion index to study the neural basis of event segmentation. In: i-Perception. 2012 ; Vol. 3, No. 4. pp. 225-225.
@article{07768750989a4872b4979afc3523bf20,
title = "Using a novel motion index to study the neural basis of event segmentation",
abstract = "Our understanding of the perceived actions of those around us includes an ability to segment this continuous stream of activity into discrete events. We studied na{\"i}ve observers' abilities to segment a video of an unfamiliar dance style into events using a combination of behavioural, computational vision and brain imaging methods. A 386 s video of a solo Bharatanatyam dancer was used as the basis for the study. A computational analysis provided us with, for every video frame, a Motion Index (MI) quantifying the movement of the entire dancer. A behavioural analysis using 30 na{\"i}ve observers provided us with the time points where observers were most likely to place an event boundary. These behavioural and computational data were used to interpret the brain activity of another 11 participants who viewed the dance video while in an MRI scanner. Results showed that the Motion Index predicted brain activity in a single cluster in the right hemisphere that was located close to the Extrastriate Body Area (EBA). Event boundaries in the video were related to extensive clusters of bilateral activity in the Inferior Occipital Gyrus which extended towards the posterior Superior Temporal Sulcus (pSTS). Event boundaries also activated a region in the right Inferior Frontal Gyrus. These results extend our understanding of how movement kinaesthetics modulate action interpretation.",
author = "Frank Pollick and Katie Noble and Nikhil Darshane and Helen Murphy and Donald Glowinski and Phil McAleer and Corinne Jola and Kedzie Penfield and Antonio Camurri",
year = "2012",
month = "5",
day = "1",
doi = "10.1068/id225",
language = "English",
volume = "3",
pages = "225--225",
journal = "i-Perception",
issn = "2041-6695",
publisher = "Pion Ltd.",
number = "4",

}

Pollick, F, Noble, K, Darshane, N, Murphy, H, Glowinski, D, McAleer, P, Jola, C, Penfield, K & Camurri, A 2012, 'Using a novel motion index to study the neural basis of event segmentation', i-Perception, vol. 3, no. 4, pp. 225-225. https://doi.org/10.1068/id225

Using a novel motion index to study the neural basis of event segmentation. / Pollick, Frank; Noble, Katie; Darshane, Nikhil; Murphy, Helen; Glowinski, Donald; McAleer, Phil; Jola, Corinne; Penfield, Kedzie; Camurri, Antonio.

In: i-Perception, Vol. 3, No. 4, 01.05.2012, p. 225-225.

Research output: Contribution to journalMeeting Abstract

TY - JOUR

T1 - Using a novel motion index to study the neural basis of event segmentation

AU - Pollick, Frank

AU - Noble, Katie

AU - Darshane, Nikhil

AU - Murphy, Helen

AU - Glowinski, Donald

AU - McAleer, Phil

AU - Jola, Corinne

AU - Penfield, Kedzie

AU - Camurri, Antonio

PY - 2012/5/1

Y1 - 2012/5/1

N2 - Our understanding of the perceived actions of those around us includes an ability to segment this continuous stream of activity into discrete events. We studied naïve observers' abilities to segment a video of an unfamiliar dance style into events using a combination of behavioural, computational vision and brain imaging methods. A 386 s video of a solo Bharatanatyam dancer was used as the basis for the study. A computational analysis provided us with, for every video frame, a Motion Index (MI) quantifying the movement of the entire dancer. A behavioural analysis using 30 naïve observers provided us with the time points where observers were most likely to place an event boundary. These behavioural and computational data were used to interpret the brain activity of another 11 participants who viewed the dance video while in an MRI scanner. Results showed that the Motion Index predicted brain activity in a single cluster in the right hemisphere that was located close to the Extrastriate Body Area (EBA). Event boundaries in the video were related to extensive clusters of bilateral activity in the Inferior Occipital Gyrus which extended towards the posterior Superior Temporal Sulcus (pSTS). Event boundaries also activated a region in the right Inferior Frontal Gyrus. These results extend our understanding of how movement kinaesthetics modulate action interpretation.

AB - Our understanding of the perceived actions of those around us includes an ability to segment this continuous stream of activity into discrete events. We studied naïve observers' abilities to segment a video of an unfamiliar dance style into events using a combination of behavioural, computational vision and brain imaging methods. A 386 s video of a solo Bharatanatyam dancer was used as the basis for the study. A computational analysis provided us with, for every video frame, a Motion Index (MI) quantifying the movement of the entire dancer. A behavioural analysis using 30 naïve observers provided us with the time points where observers were most likely to place an event boundary. These behavioural and computational data were used to interpret the brain activity of another 11 participants who viewed the dance video while in an MRI scanner. Results showed that the Motion Index predicted brain activity in a single cluster in the right hemisphere that was located close to the Extrastriate Body Area (EBA). Event boundaries in the video were related to extensive clusters of bilateral activity in the Inferior Occipital Gyrus which extended towards the posterior Superior Temporal Sulcus (pSTS). Event boundaries also activated a region in the right Inferior Frontal Gyrus. These results extend our understanding of how movement kinaesthetics modulate action interpretation.

U2 - 10.1068/id225

DO - 10.1068/id225

M3 - Meeting Abstract

VL - 3

SP - 225

EP - 225

JO - i-Perception

JF - i-Perception

SN - 2041-6695

IS - 4

ER -

Pollick F, Noble K, Darshane N, Murphy H, Glowinski D, McAleer P et al. Using a novel motion index to study the neural basis of event segmentation. i-Perception. 2012 May 1;3(4):225-225. https://doi.org/10.1068/id225