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An Analysis of Resting-State Functional Transcranial Doppler Recordings from Middle Cerebral Arteries

Sejdić, E and Kalika, D and Czarnek, N (2013) An Analysis of Resting-State Functional Transcranial Doppler Recordings from Middle Cerebral Arteries. PLoS ONE, 8 (2).

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Abstract

Functional transcrannial Doppler (fTCD) is used for monitoring the hemodynamics characteristics of major cerebral arteries. Its resting-state characteristics are known only when considering the maximal velocity corresponding to the highest Doppler shift (so called the envelope signals). Significantly more information about the resting-state fTCD can be gained when considering the raw cerebral blood flow velocity (CBFV) recordings. In this paper, we considered simultaneously acquired envelope and raw CBFV signals. Specifically, we collected bilateral CBFV recordings from left and right middle cerebral arteries using 20 healthy subjects (10 females). The data collection lasted for 15 minutes. The subjects were asked to remain awake, stay silent, and try to remain thought-free during the data collection. Time, frequency and time-frequency features were extracted from both the raw and the envelope CBFV signals. The effects of age, sex and body-mass index were examined on the extracted features. The results showed that the raw CBFV signals had a higher frequency content, and its temporal structures were almost uncorrelated. The information-theoretic features showed that the raw recordings from left and right middle cerebral arteries had higher content of mutual information than the envelope signals. Age and body-mass index did not have statistically significant effects on the extracted features. Sex-based differences were observed in all three domains and for both, the envelope signals and the raw CBFV signals. These findings indicate that the raw CBFV signals provide valuable information about the cerebral blood flow which can be utilized in further validation of fTCD as a clinical tool. © 2013 Sejdić et al.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Sejdić, Eesejdic@pitt.eduESEJDIC0000-0003-4987-8298
Kalika, D
Czarnek, N
Date: 6 February 2013
Date Type: Publication
Journal or Publication Title: PLoS ONE
Volume: 8
Number: 2
DOI or Unique Handle: 10.1371/journal.pone.0055405
Schools and Programs: Swanson School of Engineering > Computer Engineering
Swanson School of Engineering > Electrical Engineering
Refereed: Yes
Other ID: NLM PMC3566175
PubMed Central ID: PMC3566175
PubMed ID: 23405146
Date Deposited: 20 Mar 2013 20:47
Last Modified: 02 Feb 2019 15:55
URI: http://d-scholarship.pitt.edu/id/eprint/17828

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