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1779 – Spectral Analysis Of Cerebral Hemodynamics And Gender During Set Shifting And Set Maintenance

Published online by Cambridge University Press:  15 April 2020

I. Pude
Affiliation:
Psychiatric University Hospital, University of Zürich, Zürich, Switzerland
H. Boeker
Affiliation:
Psychiatric University Hospital, University of Zürich, Zürich, Switzerland
E. Seifritz
Affiliation:
Psychiatric University Hospital, University of Zürich, Zürich, Switzerland
D. Schuepbach
Affiliation:
Psychiatric University Hospital, University of Zürich, Zürich, Switzerland

Abstract

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Introduction

Set shifting provokes gender related alterations of rapid cerebral hemodynamics in large basal cerebral arteries. However, no information on frequency patterns has been reported, especially when comparing phases of set shifting and set maintenance.

Objectives

In the following functional transcranial Doppler study (fTCD), we introduced spectral analysis to rapid cerebral hemodynamic changes.

Aims

To investigate signal characteristics during both phases and its correlate with sociodemographic and performance variables.

Methods

Male and female participants performed the Wisconsin Card Sorting Test during measurement of the middle cerebral arteries. Cerebral hemodynamics underwent spectral transformation during set maintenance and set shifting. Correlation analyses examined the linkage with sociodemographic and performance variables.

Results

Scattering of frequencies was significantly increased during set shifting as compared to set maintenance (P = 0.006). Increasing age was significantly associated with increasing variability of spectral frequencies during set maintenance (P < 0.002). In males, but not in females, higher age predicted increased variability of spectral frequencies during set shifting on the right hemisphere (P = 0.002). During that phase, males showed a frequency peak near 0.1 Hz (trend level).

Conclusions

This study provides evidence that spectral analysis of cerebral hemodynamics is a fruitful strategy to characterize gender differences and brain behavior relationships during higher cognitive functioning. Further covariates such as age, performance and hemisphere have to be considered. In other words, signal frequency of cerebral hemodynamics may be an underreported neurobiological marker in addition to signal strength, with special relevance for psychiatric diseases with cognitive dysfunction and/or gender differences, such as schizophrenia or major depression.

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Abstract
Copyright
Copyright © European Psychiatric Association 2013
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