Phenotyping in clinical laterality research: a comparison of commonly used methods to determine mixed-handedness and ambidexterity.
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| Title: | Phenotyping in clinical laterality research: a comparison of commonly used methods to determine mixed-handedness and ambidexterity. |
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| Authors: | Mundorf A; Institute for Systems Medicine and Department of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany.; Department of Neurology, Division of Cognitive Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Getzmann S; Leibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Dortmund, Germany., Gajewski PD; Leibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Dortmund, Germany., Larra MF; Leibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Dortmund, Germany., Wascher E; Leibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Dortmund, Germany.; German Center for Mental Health (DZPG), Bochum, Germany., Genç E; Leibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Dortmund, Germany., Ocklenburg S; Department of Psychology, MSH Medical School Hamburg, Hamburg, Germany.; Institute for Cognitive and Affective Neuroscience, MSH Medical School Hamburg, Hamburg, Germany.; Biopsychology, Institute for Cognitive Neuroscience, Ruhr University Bochum, Bochum, Germany. |
| Source: | Laterality [Laterality] 2024 May; Vol. 29 (3), pp. 331-349. Date of Electronic Publication: 2024 Jul 05. |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: Routledge Country of Publication: England NLM ID: 9609064 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1464-0678 (Electronic) Linking ISSN: 1357650X NLM ISO Abbreviation: Laterality Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1464-0678 |
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| DOI: | 10.1080/1357650X.2024.2370871 |
