Loss of reliable temporal structure in event-related averaging of naturalistic stimuli. Ben-Yakov, A., Honey, C. J., Lerner, Y., & Hasson, U. NeuroImage, 63(1):501–506, 2012. arXiv: NIHMS150003 Publisher: Elsevier Inc. ISBN: 1095-9572![Loss of reliable temporal structure in event-related averaging of naturalistic stimuli [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex To separate neural signals from noise, brain responses measured in neuroimaging are routinely averaged across space and time. However, such procedures may obscure some properties of neural activity. Recently, multi-voxel pattern analysis methods have demonstrated that patterns of activity across voxels contain valuable information that is concealed by spatial averaging. Here we show that temporal patterns of neural activity contain information that can discriminate different stimuli, even within brain regions that show no net activation to that stimulus class. Furthermore, we find that in many brain regions, responses to natural stimuli are highly context dependent. In such cases, prototypical event-related responses do not even exist for individual stimuli, so that averaging responses to the same stimulus within different contexts may worsen the effective signal-to-noise. As a result, analysis of the temporal structures of single events can reveal aspects of neural dynamics which cannot be detected using standard event-related averaging methods. © 2012 Elsevier Inc.
@article{ben-yakov_loss_2012,
title = {Loss of reliable temporal structure in event-related averaging of naturalistic stimuli},
volume = {63},
issn = {10538119},
url = {http://dx.doi.org/10.1016/j.neuroimage.2012.07.008},
doi = {10.1016/j.neuroimage.2012.07.008},
abstract = {To separate neural signals from noise, brain responses measured in neuroimaging are routinely averaged across space and time. However, such procedures may obscure some properties of neural activity. Recently, multi-voxel pattern analysis methods have demonstrated that patterns of activity across voxels contain valuable information that is concealed by spatial averaging. Here we show that temporal patterns of neural activity contain information that can discriminate different stimuli, even within brain regions that show no net activation to that stimulus class. Furthermore, we find that in many brain regions, responses to natural stimuli are highly context dependent. In such cases, prototypical event-related responses do not even exist for individual stimuli, so that averaging responses to the same stimulus within different contexts may worsen the effective signal-to-noise. As a result, analysis of the temporal structures of single events can reveal aspects of neural dynamics which cannot be detected using standard event-related averaging methods. © 2012 Elsevier Inc.},
number = {1},
journal = {NeuroImage},
author = {Ben-Yakov, Aya and Honey, Christopher J. and Lerner, Yulia and Hasson, Uri},
year = {2012},
pmid = {22813575},
note = {arXiv: NIHMS150003
Publisher: Elsevier Inc.
ISBN: 1095-9572},
keywords = {Event-related averaging, Inter-subject correlation, Natural stimuli, Signal reliability},
pages = {501--506},
}
Downloads: 0
{"_id":"N3KmAzeu9hbtccxcd","bibbaseid":"benyakov-honey-lerner-hasson-lossofreliabletemporalstructureineventrelatedaveragingofnaturalisticstimuli-2012","author_short":["Ben-Yakov, A.","Honey, C. J.","Lerner, Y.","Hasson, U."],"bibdata":{"bibtype":"article","type":"article","title":"Loss of reliable temporal structure in event-related averaging of naturalistic stimuli","volume":"63","issn":"10538119","url":"http://dx.doi.org/10.1016/j.neuroimage.2012.07.008","doi":"10.1016/j.neuroimage.2012.07.008","abstract":"To separate neural signals from noise, brain responses measured in neuroimaging are routinely averaged across space and time. However, such procedures may obscure some properties of neural activity. Recently, multi-voxel pattern analysis methods have demonstrated that patterns of activity across voxels contain valuable information that is concealed by spatial averaging. Here we show that temporal patterns of neural activity contain information that can discriminate different stimuli, even within brain regions that show no net activation to that stimulus class. Furthermore, we find that in many brain regions, responses to natural stimuli are highly context dependent. In such cases, prototypical event-related responses do not even exist for individual stimuli, so that averaging responses to the same stimulus within different contexts may worsen the effective signal-to-noise. As a result, analysis of the temporal structures of single events can reveal aspects of neural dynamics which cannot be detected using standard event-related averaging methods. © 2012 Elsevier Inc.","number":"1","journal":"NeuroImage","author":[{"propositions":[],"lastnames":["Ben-Yakov"],"firstnames":["Aya"],"suffixes":[]},{"propositions":[],"lastnames":["Honey"],"firstnames":["Christopher","J."],"suffixes":[]},{"propositions":[],"lastnames":["Lerner"],"firstnames":["Yulia"],"suffixes":[]},{"propositions":[],"lastnames":["Hasson"],"firstnames":["Uri"],"suffixes":[]}],"year":"2012","pmid":"22813575","note":"arXiv: NIHMS150003 Publisher: Elsevier Inc. ISBN: 1095-9572","keywords":"Event-related averaging, Inter-subject correlation, Natural stimuli, Signal reliability","pages":"501–506","bibtex":"@article{ben-yakov_loss_2012,\n\ttitle = {Loss of reliable temporal structure in event-related averaging of naturalistic stimuli},\n\tvolume = {63},\n\tissn = {10538119},\n\turl = {http://dx.doi.org/10.1016/j.neuroimage.2012.07.008},\n\tdoi = {10.1016/j.neuroimage.2012.07.008},\n\tabstract = {To separate neural signals from noise, brain responses measured in neuroimaging are routinely averaged across space and time. However, such procedures may obscure some properties of neural activity. Recently, multi-voxel pattern analysis methods have demonstrated that patterns of activity across voxels contain valuable information that is concealed by spatial averaging. Here we show that temporal patterns of neural activity contain information that can discriminate different stimuli, even within brain regions that show no net activation to that stimulus class. Furthermore, we find that in many brain regions, responses to natural stimuli are highly context dependent. In such cases, prototypical event-related responses do not even exist for individual stimuli, so that averaging responses to the same stimulus within different contexts may worsen the effective signal-to-noise. As a result, analysis of the temporal structures of single events can reveal aspects of neural dynamics which cannot be detected using standard event-related averaging methods. © 2012 Elsevier Inc.},\n\tnumber = {1},\n\tjournal = {NeuroImage},\n\tauthor = {Ben-Yakov, Aya and Honey, Christopher J. and Lerner, Yulia and Hasson, Uri},\n\tyear = {2012},\n\tpmid = {22813575},\n\tnote = {arXiv: NIHMS150003\nPublisher: Elsevier Inc.\nISBN: 1095-9572},\n\tkeywords = {Event-related averaging, Inter-subject correlation, Natural stimuli, Signal reliability},\n\tpages = {501--506},\n}\n\n\n\n","author_short":["Ben-Yakov, A.","Honey, C. J.","Lerner, Y.","Hasson, U."],"key":"ben-yakov_loss_2012","id":"ben-yakov_loss_2012","bibbaseid":"benyakov-honey-lerner-hasson-lossofreliabletemporalstructureineventrelatedaveragingofnaturalisticstimuli-2012","role":"author","urls":{"Paper":"http://dx.doi.org/10.1016/j.neuroimage.2012.07.008"},"keyword":["Event-related averaging","Inter-subject correlation","Natural stimuli","Signal reliability"],"metadata":{"authorlinks":{}},"downloads":0,"html":""},"bibtype":"article","biburl":"https://bibbase.org/zotero/peerherholz","dataSources":["JWysPm6bugYqREXu5"],"keywords":["event-related averaging","inter-subject correlation","natural stimuli","signal reliability"],"search_terms":["loss","reliable","temporal","structure","event","related","averaging","naturalistic","stimuli","ben-yakov","honey","lerner","hasson"],"title":"Loss of reliable temporal structure in event-related averaging of naturalistic stimuli","year":2012}