Variability and effect sizes of intracranial current source density estimations during pain: Systematic review, experimental findings, and future perspectives

Autores
Völker, Juan Manuel; Arguissain, Federico Gabriel; Kæseler Andersen, Ole; Biurrun Manresa, José Alberto
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Pain arises from the integration of sensory and cognitive processes in the brain, resulting in specific patterns of neural oscillations that can be characterized by measuring electrical brain activity. Current source density (CSD) estimation from low-resolution brain electromagnetic tomography (LORETA) and its standardized (sLORETA) and exact (eLORETA) variants, is a common approach to identify the spatiotemporal dynamics of the brain sources in physiological and pathological pain-related conditions. However, there is no consensus on the magnitude and variability of clinically or experimentally relevant effects for CSD estimations. Here, we systematically examined reports of sample size calculations and effect size estimations in all studies that included the keywords pain, and LORETA, sLORETA, or eLORETA in Scopus and PubMed. We also assessed the reliability of LORETA CSD estimations during non-painful and painful conditions to estimate hypothetical sample sizes for future experiments using CSD estimations. We found that none of the studies included in the systematic review reported sample size calculations, and less than 20% reported measures of central tendency and dispersion, which are necessary to estimate effect sizes. Based on these data and our experimental results, we determined that sample sizes commonly used in pain studies using CSD estimations are suitable to detect medium and large effect sizes in crossover designs and only large effects in parallel designs. These results provide a comprehensive summary of the effect sizes observed using LORETA in pain research, and this information can be used by clinicians and researchers to improve settings and designs of future pain studies.
Fil: Völker, Juan Manuel. Aalborg University; Dinamarca
Fil: Arguissain, Federico Gabriel. Aalborg University; Dinamarca
Fil: Kæseler Andersen, Ole. Aalborg University; Dinamarca
Fil: Biurrun Manresa, José Alberto. Aalborg University; Dinamarca. Universidad Nacional de Entre Ríos. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática; Argentina
Materia
EEG
LORETA
SOURCE LOCALIZATION
TEST–RETEST RELIABILITY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/173430
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/173430
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Variability and effect sizes of intracranial current source density estimations during pain: Systematic review, experimental findings, and future perspectivesVölker, Juan ManuelArguissain, Federico GabrielKæseler Andersen, OleBiurrun Manresa, José AlbertoEEGLORETASOURCE LOCALIZATIONTEST–RETEST RELIABILITYhttps://purl.org/becyt/ford/2.6https://purl.org/becyt/ford/2Pain arises from the integration of sensory and cognitive processes in the brain, resulting in specific patterns of neural oscillations that can be characterized by measuring electrical brain activity. Current source density (CSD) estimation from low-resolution brain electromagnetic tomography (LORETA) and its standardized (sLORETA) and exact (eLORETA) variants, is a common approach to identify the spatiotemporal dynamics of the brain sources in physiological and pathological pain-related conditions. However, there is no consensus on the magnitude and variability of clinically or experimentally relevant effects for CSD estimations. Here, we systematically examined reports of sample size calculations and effect size estimations in all studies that included the keywords pain, and LORETA, sLORETA, or eLORETA in Scopus and PubMed. We also assessed the reliability of LORETA CSD estimations during non-painful and painful conditions to estimate hypothetical sample sizes for future experiments using CSD estimations. We found that none of the studies included in the systematic review reported sample size calculations, and less than 20% reported measures of central tendency and dispersion, which are necessary to estimate effect sizes. Based on these data and our experimental results, we determined that sample sizes commonly used in pain studies using CSD estimations are suitable to detect medium and large effect sizes in crossover designs and only large effects in parallel designs. These results provide a comprehensive summary of the effect sizes observed using LORETA in pain research, and this information can be used by clinicians and researchers to improve settings and designs of future pain studies.Fil: Völker, Juan Manuel. Aalborg University; DinamarcaFil: Arguissain, Federico Gabriel. Aalborg University; DinamarcaFil: Kæseler Andersen, Ole. Aalborg University; DinamarcaFil: Biurrun Manresa, José Alberto. Aalborg University; Dinamarca. Universidad Nacional de Entre Ríos. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática; ArgentinaWiley-liss, div John Wiley & Sons Inc.2021-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/173430Völker, Juan Manuel; Arguissain, Federico Gabriel; Kæseler Andersen, Ole; Biurrun Manresa, José Alberto; Variability and effect sizes of intracranial current source density estimations during pain: Systematic review, experimental findings, and future perspectives; Wiley-liss, div John Wiley & Sons Inc.; Human Brain Mapping; 42; 8; 6-2021; 2461-24761065-9471CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1002/hbm.25380info:eu-repo/semantics/altIdentifier/doi/10.1002/hbm.25380info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:44:40Zoai:ri.conicet.gov.ar:11336/173430instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:44:40.39CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Variability and effect sizes of intracranial current source density estimations during pain: Systematic review, experimental findings, and future perspectives
title Variability and effect sizes of intracranial current source density estimations during pain: Systematic review, experimental findings, and future perspectives
spellingShingle Variability and effect sizes of intracranial current source density estimations during pain: Systematic review, experimental findings, and future perspectives
Völker, Juan Manuel
EEG
LORETA
SOURCE LOCALIZATION
TEST–RETEST RELIABILITY
title_short Variability and effect sizes of intracranial current source density estimations during pain: Systematic review, experimental findings, and future perspectives
title_full Variability and effect sizes of intracranial current source density estimations during pain: Systematic review, experimental findings, and future perspectives
title_fullStr Variability and effect sizes of intracranial current source density estimations during pain: Systematic review, experimental findings, and future perspectives
title_full_unstemmed Variability and effect sizes of intracranial current source density estimations during pain: Systematic review, experimental findings, and future perspectives
title_sort Variability and effect sizes of intracranial current source density estimations during pain: Systematic review, experimental findings, and future perspectives
dc.creator.none.fl_str_mv Völker, Juan Manuel
Arguissain, Federico Gabriel
Kæseler Andersen, Ole
Biurrun Manresa, José Alberto
author Völker, Juan Manuel
author_facet Völker, Juan Manuel
Arguissain, Federico Gabriel
Kæseler Andersen, Ole
Biurrun Manresa, José Alberto
author_role author
author2 Arguissain, Federico Gabriel
Kæseler Andersen, Ole
Biurrun Manresa, José Alberto
author2_role author
author
author
dc.subject.none.fl_str_mv EEG
LORETA
SOURCE LOCALIZATION
TEST–RETEST RELIABILITY
topic EEG
LORETA
SOURCE LOCALIZATION
TEST–RETEST RELIABILITY
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.6
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Pain arises from the integration of sensory and cognitive processes in the brain, resulting in specific patterns of neural oscillations that can be characterized by measuring electrical brain activity. Current source density (CSD) estimation from low-resolution brain electromagnetic tomography (LORETA) and its standardized (sLORETA) and exact (eLORETA) variants, is a common approach to identify the spatiotemporal dynamics of the brain sources in physiological and pathological pain-related conditions. However, there is no consensus on the magnitude and variability of clinically or experimentally relevant effects for CSD estimations. Here, we systematically examined reports of sample size calculations and effect size estimations in all studies that included the keywords pain, and LORETA, sLORETA, or eLORETA in Scopus and PubMed. We also assessed the reliability of LORETA CSD estimations during non-painful and painful conditions to estimate hypothetical sample sizes for future experiments using CSD estimations. We found that none of the studies included in the systematic review reported sample size calculations, and less than 20% reported measures of central tendency and dispersion, which are necessary to estimate effect sizes. Based on these data and our experimental results, we determined that sample sizes commonly used in pain studies using CSD estimations are suitable to detect medium and large effect sizes in crossover designs and only large effects in parallel designs. These results provide a comprehensive summary of the effect sizes observed using LORETA in pain research, and this information can be used by clinicians and researchers to improve settings and designs of future pain studies.
Fil: Völker, Juan Manuel. Aalborg University; Dinamarca
Fil: Arguissain, Federico Gabriel. Aalborg University; Dinamarca
Fil: Kæseler Andersen, Ole. Aalborg University; Dinamarca
Fil: Biurrun Manresa, José Alberto. Aalborg University; Dinamarca. Universidad Nacional de Entre Ríos. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática; Argentina
description Pain arises from the integration of sensory and cognitive processes in the brain, resulting in specific patterns of neural oscillations that can be characterized by measuring electrical brain activity. Current source density (CSD) estimation from low-resolution brain electromagnetic tomography (LORETA) and its standardized (sLORETA) and exact (eLORETA) variants, is a common approach to identify the spatiotemporal dynamics of the brain sources in physiological and pathological pain-related conditions. However, there is no consensus on the magnitude and variability of clinically or experimentally relevant effects for CSD estimations. Here, we systematically examined reports of sample size calculations and effect size estimations in all studies that included the keywords pain, and LORETA, sLORETA, or eLORETA in Scopus and PubMed. We also assessed the reliability of LORETA CSD estimations during non-painful and painful conditions to estimate hypothetical sample sizes for future experiments using CSD estimations. We found that none of the studies included in the systematic review reported sample size calculations, and less than 20% reported measures of central tendency and dispersion, which are necessary to estimate effect sizes. Based on these data and our experimental results, we determined that sample sizes commonly used in pain studies using CSD estimations are suitable to detect medium and large effect sizes in crossover designs and only large effects in parallel designs. These results provide a comprehensive summary of the effect sizes observed using LORETA in pain research, and this information can be used by clinicians and researchers to improve settings and designs of future pain studies.
publishDate 2021
dc.date.none.fl_str_mv 2021-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/173430
Völker, Juan Manuel; Arguissain, Federico Gabriel; Kæseler Andersen, Ole; Biurrun Manresa, José Alberto; Variability and effect sizes of intracranial current source density estimations during pain: Systematic review, experimental findings, and future perspectives; Wiley-liss, div John Wiley & Sons Inc.; Human Brain Mapping; 42; 8; 6-2021; 2461-2476
1065-9471
CONICET Digital
CONICET
url http://hdl.handle.net/11336/173430
identifier_str_mv Völker, Juan Manuel; Arguissain, Federico Gabriel; Kæseler Andersen, Ole; Biurrun Manresa, José Alberto; Variability and effect sizes of intracranial current source density estimations during pain: Systematic review, experimental findings, and future perspectives; Wiley-liss, div John Wiley & Sons Inc.; Human Brain Mapping; 42; 8; 6-2021; 2461-2476
1065-9471
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1002/hbm.25380
info:eu-repo/semantics/altIdentifier/doi/10.1002/hbm.25380
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley-liss, div John Wiley & Sons Inc.
publisher.none.fl_str_mv Wiley-liss, div John Wiley & Sons Inc.
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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