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Egger ST, Bobes J, Seifritz E, et al. Functional transcranial Doppler: Selection of methods for statistical analysis and representation of changes in flow velocity. Health Sci Rep. 2021;4(4):e400doi: 10.1002/hsr2.400.
Egger, S. T., Bobes, J., Seifritz, E., Vetter, S., & Schuepbach, D. (2021). Functional transcranial Doppler: Selection of methods for statistical analysis and representation of changes in flow velocity. Health science reports, 4(4), e400. https://doi.org/10.1002/hsr2.400
Egger, Stephan T, et al. "Functional transcranial Doppler: Selection of methods for statistical analysis and representation of changes in flow velocity." Health science reports vol. 4,4 (2021): e400. doi: https://doi.org/10.1002/hsr2.400
Egger ST, Bobes J, Seifritz E, Vetter S, Schuepbach D. Functional transcranial Doppler: Selection of methods for statistical analysis and representation of changes in flow velocity. Health Sci Rep. 2021 Oct 06;4(4):e400. doi: 10.1002/hsr2.400. eCollection 2021 Dec. PMID: 34632099; PMCID: PMC8493565.
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Health Sci Rep. 2021 Oct 06;4(4):e400. doi: 10.1002/hsr2.400. eCollection 2021 Dec.

Functional transcranial Doppler: Selection of methods for statistical analysis and representation of changes in flow velocity.

Health science reports

Stephan T Egger, Julio Bobes, Erich Seifritz, Stefan Vetter, Daniel Schuepbach

Affiliations

  1. Department of Psychiatry, Psychotherapy and Psychosomatics University of Zürich, Faculty of Medicine, Psychiatric University Hospital of Zurich Zurich Switzerland.
  2. Department of Psychiatry, ISPA, INEUROPA, CIBERSAM University of Oviedo, Faculty of Medicine Oviedo Spain.
  3. Department of General Psychiatry, Center of Psychosocial Medicine, University of Heidelberg University of Heidelberg Heidelberg Germany.
  4. Departmet of Psychiatry and Psychotherapy Klinikum am Weissenhof Weinsberg Germany.

PMID: 34632099 PMCID: PMC8493565 DOI: 10.1002/hsr2.400

Abstract

INTRODUCTION: Transcranial Doppler (TCD) is a method used to study cerebral hemodynamics. In the majority of TCD studies, regression analysis and analysis of variance are the most frequently applied statistical methods. However, due to the dynamic and interdependent nature of flow velocity, nonparametric tests may allow for better statistical analysis and representation of results.

METHOD: The sample comprised 30 healthy participants, aged 33.87 ± 7.48 years; with 33% (n = 10) females. During a visuo-motor task, the mean flow velocity (MFV) in the middle cerebral artery (MCA) was measured using TCD. The MFV was converted to values relative to the resting state. The results obtained were analyzed using the general linear model (GLM) and the general additional model (GAM). The fit indices of both analysis methods were compared with each other.

RESULTS: Both MCAs showed a steady increase in MFV during the visuo-motor task, smoothly returning to resting state values. During the first 20 seconds of the visuo-motor task, the MFV increased by a factor of 1.06 ± 0.07 in the right-MCA and by a factor of 1.08 ± 0.07 in the left-MCA. GLM and GAM showed a statistically significant change in MFV (GLM:F(2, 3598) = 16.76,

CONCLUSIONS: Both the GLM and GAM yielded valid statistical models of MFV in the MCA in healthy subjects. However, the model using the GAM resulted in improved fit indices. The GAM's advantage becomes even clearer when the MFV curves are visualized; yielding a more realistic approach to brain hemodynamics, thus allowing for an improvement in the interpretation of the mathematical and statistical results. Our results demonstrate the utility of the GAM for the analysis and representation of hemodynamic parameters.

© 2021 The Authors. Health Science Reports published by Wiley Periodicals LLC.

Keywords: functional Transcranial Doppler (fTCD); general additional model (GAM); general linear model (GLM); healthy participants; hemodynamics; statistical analysis

Conflict of interest statement

The authors declare that there is no conflict of interest.

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