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  Laterality indices consensus initiative (LICI): A Delphi expert survey report on recommendations to record, assess, and report asymmetry in human behavioural and brain research

Vingerhoets, G., Verhelst, H., Gerrits, R., Badcock, N., Bishop, D. V. M., Carey, D., et al. (2023). Laterality indices consensus initiative (LICI): A Delphi expert survey report on recommendations to record, assess, and report asymmetry in human behavioural and brain research. Laterality, 28(2-3), 122-191. doi:10.1080/1357650X.2023.2199963.

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Laterality indices consensus initiative LICI A Delphi expert survey report on recommendations to record assess and report asymmetry in human.pdf (Publisher version), 7MB
 
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Vingerhoets, Guy1, Author
Verhelst, Helena1, Author
Gerrits, Robin1, Author
Badcock, Nicholas2, Author
Bishop, Dorothy V. M.3, Author
Carey, David4, Author
Flindall, Jason5, Author
Grimshaw, Gina6, Author
Harris, Lauren Julius7, Author
Hausmann, Markus8, Author
Hirnstein, Marco9, Author
Jäncke, Lutz10, Author
Joliot, Marc11, Author
Specht, Karsten9, Author
Westerhausen, René12, Author
LICI consortium13, 14, Author
Affiliations:
1Ghent University, Ghent, Belgium, ou_persistent22              
2Macquarie University , Sydney, Australia, ou_persistent22              
3University of Oxford, Oxford, UK, ou_persistent22              
4Bangor University, Bangor, UK, ou_persistent22              
5University of British Columbia, Vancouver, Canada, ou_persistent22              
6Victoria University of Wellington, Wellington, New Zealand, ou_persistent22              
7Michigan State University , East Lansing, MI, USA, ou_persistent22              
8Durham University, Durham, UK, ou_persistent22              
9University of Bergen, Bergen, Norway, ou_persistent22              
10University of Zurich, Zurich, Switzerland, ou_persistent22              
11University of Bordeaux, Bordeaux, France, ou_persistent22              
12University of Oslo, Oslo, Norway, ou_persistent22              
13Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL, ou_792549              
14Imaging Genomics, MPI for Psycholinguistics, Max Planck Society, Wundtlaan 1, 6525 XD Nijmegen, NL, ou_2579692              

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 Abstract: Laterality indices (LIs) quantify the left-right asymmetry of brain and behavioural variables and provide a measure that is statistically convenient and seemingly easy to interpret. Substantial variability in how structural and functional asymmetries are recorded, calculated, and reported, however, suggest little agreement on the conditions required for its valid assessment. The present study aimed for consensus on general aspects in this context of laterality research, and more specifically within a particular method or technique (i.e., dichotic listening, visual half-field technique, performance asymmetries, preference bias reports, electrophysiological recording, functional MRI, structural MRI, and functional transcranial Doppler sonography). Experts in laterality research were invited to participate in an online Delphi survey to evaluate consensus and stimulate discussion. In Round 0, 106 experts generated 453 statements on what they considered good practice in their field of expertise. Statements were organised into a 295-statement survey that the experts then were asked, in Round 1, to independently assess for importance and support, which further reduced the survey to 241 statements that were presented again to the experts in Round 2. Based on the Round 2 input, we present a set of critically reviewed key recommendations to record, assess, and report laterality research for various methods.

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Language(s): eng - English
 Dates: 2023-05-21
 Publication Status: Published online
 Pages: -
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 Rev. Type: Peer
 Identifiers: DOI: 10.1080/1357650X.2023.2199963
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Title: Laterality
Source Genre: Journal
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Pages: - Volume / Issue: 28 (2-3) Sequence Number: - Start / End Page: 122 - 191 Identifier: ISSN: 1357-650X
ISSN: 1464-0678