Assessment of cerebral autoregulation using time-domain cross-correlation analysis

Chiu, Chuang-Chien; Yeh, Shoou-Jeng

doi:10.1016/s0010-4825(01)00015-4

Cited by 33 publications

(22 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The present study indicates that dynamic cerebral autoregulation becomes affected in subjects with Type 2 diabetes prior to the occurrence of cerebral ischaemic symptoms. Impaired cerebral autoregulation is associated with cardiovascular autonomic neuropathy [11,44]. Moreover, when healthy humans are subjected to ganglion blockade with the development of arterial hypotension, cerebral autoregulation can no longer maintain MCA V mean [45].…”

Section: Figure 3 Representative Continuous Recordings Of Bp and Cbfvmentioning

confidence: 99%

Dynamic cerebral autoregulatory capacity is affected early in Type 2 diabetes

et al. 2008

View full text Add to dashboard Cite

Type 2 diabetes is associated with an increased risk of endothelial dysfunction and microvascular complications with impaired autoregulation of tissue perfusion. Both microvascular disease and cardiovascular autonomic neuropathy may affect cerebral autoregulation. In the present study, we tested the hypothesis that, in the absence of cardiovascular autonomic neuropathy, cerebral autoregulation is impaired in subjects with DM+ (Type 2 diabetes with microvascular complications) but intact in subjects with DM- (Type 2 diabetes without microvascular complications). Dynamic cerebral autoregulation and the steady-state cerebrovascular response to postural change were studied in subjects with DM+ and DM-, in the absence of cardiovascular autonomic neuropathy, and in CTRL (healthy control) subjects. The relationship between spontaneous changes in MCA V(mean) (middle cerebral artery mean blood velocity) and MAP (mean arterial pressure) was evaluated using frequency domain analysis. In the low-frequency region (0.07-0.15 Hz), the phase lead of the MAP-to-MCA V(mean) transfer function was 52+/-10 degrees in CTRL subjects, reduced in subjects with DM- (40+/-6 degrees ; P<0.01 compared with CTRL subjects) and impaired in subjects with DM+ (30+/-5 degrees ; P<0.01 compared with subjects with DM-), indicating less dampening of blood pressure oscillations by affected dynamic cerebral autoregulation. The steady-state response of MCA V(mean) to postural change was comparable for all groups (-12+/-6% in CTRL subjects, -15+/-6% in subjects with DM- and -15+/-7% in subjects with DM+). HbA(1c) (glycated haemoglobin) and the duration of diabetes, but not blood pressure, were determinants of transfer function phase. In conclusion, dysfunction of dynamic cerebral autoregulation in subjects with Type 2 diabetes appears to be an early manifestation of microvascular disease prior to the clinical expression of diabetic nephropathy, retinopathy or cardiovascular autonomic neuropathy.

show abstract

Section: Figure 3 Representative Continuous Recordings Of Bp and Cbfvmentioning

confidence: 99%

Dynamic cerebral autoregulatory capacity is affected early in Type 2 diabetes

et al. 2008

View full text Add to dashboard Cite

show abstract

“…Both peaks and valleys of the continuous blood pressure and continuous cerebral blood flow velocity signals were detected, and the mean of each waveform between the valleys were calculated in order to transform the signals into mean blood pressure (MBP) and mean cerebral blood flow velocity (MCBFV) of each heartbeat [10].…”

Section: Pre-processingmentioning

confidence: 99%

“…In recent studies, the relationship between CA and carbon dioxide has been lightly touched upon [8,9]. This study aims further to investigate the relationship between CA and carbon dioxide in PD patients using techniques that had proven to worked to quantify CA with healthy controls as well as patients with diabetic autonomic neuropathy [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Linear Assessment of Cerebral Autoregulation in Idiopathic Parkinson's Disease

Chiu

Liao

Yeh

2016

Int J Pharm Pharm Sci

Self Cite

View full text Add to dashboard Cite

Parkinson's disease cases have been on the rise in the recent years, which promoted several different researches into the disorder. However, there hasn't much research been done in the non-motor aspects of the disease. This study aims to improve the understanding of one of the non-motor symptoms of Parkinson's disease. Specifically, this research aims to further understand cerebral autoregulation in patients with Parkinson's disease. In order to achieve this aim, 25 subjects were recruited, with 11 healthy controls and 14 patients with Parkinson's disease. The continuous blood pressure and continuous cerebral blood flow velocity of all subjects were recorded and processed while the subjects were at rest, tilt-up, and during hyperventilation. Linear signal and system analysis techniques were applied such as the power spectral density analysis and cross-correlation function analysis. Results showed that patients with Parkinson's disease did not show a significant difference from the control group while at rest and after tilt-up. However, there was a significant difference between the groups during hyperventilation. The results obtained in this study suggested that the metabolic regulatory pathway for cerebral autoregulation is impaired in patients with Parkinson's disease.

show abstract

“…Cerebral blood flow tends to follow changes in CPP outside these limits and the homeostatic protection of CA is therefore lost [31]. Although CA has been investigated by using time and frequency domain analysis methods [10,11,20,37,42] based on arterial blood pressure (ABP) and cerebral blood flow velocity (CBFV), CA is more a concept rather than a physically measurable entity [31]. Autoregulatory index (ARI) is one of the methods generated by CBFV and ABP values to evaluate CA and it revealed aging does not affect CA [5,15,31,34].…”

Section: Introductionmentioning

confidence: 99%

“…Autoregulatory index (ARI) is one of the methods generated by CBFV and ABP values to evaluate CA and it revealed aging does not affect CA [5,15,31,34]. Phase analysis using time-domain cross-correlation function (CCF) to assess the CA showed the relationship between ABP and CBFV [7,10,11,30,33,36]. Spectral and transfer function analyses of ABP and CBFV performed by fast Fourier transform (FFT) in normal subjects [14,49] and autonomic failure patients [3] to observe the fluctuation of CA system.…”

Section: Introductionmentioning

confidence: 99%

Dynamic cerebral autoregulation assessment using chaotic analysis in diabetic autonomic neuropathy

et al. 2007

Self Cite

View full text Add to dashboard Cite

Cerebral autoregulation (CA) was assessed by chaotic analysis based on mean arterial blood pressure (MABP) and mean cerebral blood flow velocity (MCBFV) in 19 diabetics with autonomic neuropathy (AN) and 11 age-matched normal subjects. MABP in diabetics dropped significantly in response to tilting (91.6 +/- 14.9 vs. 74.1 +/- 13.4 mmHg, P < 0.05). Valsalva ratio of heart rate was reduced in diabetics compared to normal (1.1 +/- 0.1 vs. 1.5 +/- 0.2, P < 0.05). It indicated AN affects the vasomotor tone of peripheral vessels and baroreflex. Nonlinear results showed higher correlation dimension values of MABP and MCBFV in diabetics compared to normal, especially MABP (3.7 +/- 2.3 vs. 2.0 +/- 0.8, P < 0.05). It indicated CA is more complicated in diabetics. The lower Lyapunov exponent and the higher Kolmogorov entropy values in diabetics indicated less predictable behavior and higher chaotic degree. This study suggests impaired autoregulation would be more chaotic and less predictable.

show abstract

Assessment of cerebral autoregulation using time-domain cross-correlation analysis

Cited by 33 publications

References 19 publications

Dynamic cerebral autoregulatory capacity is affected early in Type 2 diabetes

Dynamic cerebral autoregulatory capacity is affected early in Type 2 diabetes

Linear Assessment of Cerebral Autoregulation in Idiopathic Parkinson's Disease

Dynamic cerebral autoregulation assessment using chaotic analysis in diabetic autonomic neuropathy

Contact Info

Product

Resources

About