An analysis of cerebral blood flow from middle cerebral arteries during cognitive tasks via functional transcranial Doppler recordings

Li, Meng; Huang, Hanrui; Boninger, Michael L.; Sejdić, Ervin

doi:10.1016/j.neures.2014.02.009

Cited by 10 publications

(5 citation statements)

References 56 publications

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“…The resulting hemodynamic curve demonstrated a steady increase in MFV, smoothly returning to resting state values. The obtained pattern resembles previous findings in healthy probands, 21,[27][28][29] as well as those with a psychiatric or neurologic condition. 26,30,31 The resulting hemodynamic curve probably results from the activation of brain areas responsible for visuo-motor activity.…”

Section: Discussionsupporting

confidence: 88%

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

Egger

Bobes

Seifritz

et al. 2021

Health Science Reports

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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, P < .001; GAM:F(2, 3598) = 21.63, P < .001); together with effects of hemispheric side and gender (GLM:F(4, 3596) = 7.83, P < .005; GAM:F(4, 3596) = 2.13, P = .001). Comparing the models using the χ2 test for goodness of fit yields a significant difference χ2 (9.9556) = 0.6836, P < .001. 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.

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Section: Discussionsupporting

confidence: 88%

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

Egger

Bobes

Seifritz

et al. 2021

Health Science Reports

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“…Even though the raw CBFV analysis did not show any significant differences between the parameters from both groups, the envelope CBFV analysis showed differences in some of the parameters. The raw CBFV signal had been used previously as a valuable signal that can provide complementary information to the envelop CBFV analysis in resting-state conditions [22] and during the performance of cognitive tasks [48] in healthy population. However, in the present work only the envelope CBFV seems to include relevant information to characterize the groups under study.…”

Section: Discussionmentioning

confidence: 99%

Altered cerebral blood flow velocity features in fibromyalgia patients in resting-state conditions

et al. 2017

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The aim of this study is to characterize in resting-state conditions the cerebral blood flow velocity (CBFV) signals of fibromyalgia patients. The anterior and middle cerebral arteries of both hemispheres from 15 women with fibromyalgia and 15 healthy women were monitored using Transcranial Doppler (TCD) during a 5-minute eyes-closed resting period. Several signal processing methods based on time, information theory, frequency and time-frequency analyses were used in order to extract different features to characterize the CBFV signals in the different vessels. Main results indicated that, in comparison with control subjects, fibromyalgia patients showed a higher complexity of the envelope CBFV and a different distribution of the power spectral density. In addition, it has been observed that complexity and spectral features show correlations with clinical pain parameters and emotional factors. The characterization features were used in a lineal model to discriminate between fibromyalgia patients and healthy controls, providing a high accuracy. These findings indicate that CBFV signals, specifically their complexity and spectral characteristics, contain information that may be relevant for the assessment of fibromyalgia patients in resting-state conditions.

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“…CBFV outcomes and brain response from healthy participants were extracted from different studies (Kelley et al 1992;Vingerhoets and Stroobant 1999;Sejdić et al 2013;Li et al 2014). These outcomes pointed out higher mean maximum velocities on MCA from the control subjects (either during the resting-state or during the cognitive challenges).…”

Section: Discussionmentioning

confidence: 99%

A cerebral blood flow evaluation during cognitive tasks following a cervical spinal cord injury: a case study using transcranial Doppler recordings

Bleton

Sejdić

2015

Cogn Neurodyn

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A spinal cord injury (SCI) is one of the most common neurological disorders. In this paper, we examined the consequences of upper SCI in a male participant on the cerebral blood flow velocity. In particular, transcranial Doppler was used to study these effects through middle cerebral arteries (MCA) during resting-state periods and during cognitive challenges (non-verbal word-generation tasks and geometric-rotation tasks). Signal characteristics were analyzed from raw signals and envelope signals (maximum velocity) in the time domain, the frequency domain and the time-frequency domain. The frequency features highlighted an increase of the peak frequency in L-MCA and R-MCA raw signals, which revealed stronger cerebral blood flow during geometric/verbal processes respectively. This underlined a slight dominance of the right hemisphere during word-generation periods and a slight dominance of the left hemisphere during geometric processes. This finding was confirmed by cross-correlation in the time domain and by the entropy rate in informationtheoretic domain. A comparison of our results to other neurological disorders (Alzheimer's disease, Parkinson's disease, autism, epilepsy, traumatic brain injury) showed that the SCI had similar effects such as general decreased cerebral blood flow and similar regular hemispheric dominance in a few cases.

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An analysis of cerebral blood flow from middle cerebral arteries during cognitive tasks via functional transcranial Doppler recordings

Cited by 10 publications

References 56 publications

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

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

Altered cerebral blood flow velocity features in fibromyalgia patients in resting-state conditions

A cerebral blood flow evaluation during cognitive tasks following a cervical spinal cord injury: a case study using transcranial Doppler recordings

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