Objective: In a former study, we applied cross-correlation (CC) analysis to recordings of arterial blood pressure (BP), intracranial pressure (ICP), and intracranial blood flow velocity (FV). A lack of significant time delay and a positive correlation coefficient of slow oscillations between these parameters was interpreted as indicative of impaired cerebral autoregulation, whereas a significant time delay and a negative correlation was regarded as preserved autoregulation. To test this hypothesis, cross-correlation was applied on recordings of BP and FV (CC [BP --> FV]) in healthy volunteers with a presumably preserved cerebral autoregulation.

Design: Study of a diagnostic test.

Subjects: A total of 17 healthy volunteers.

Measurements And Main Results: BP was recorded by using a tonometric device, and bilateral FV in the middle cerebral arteries (MCA) was measured by transcranial Doppler sonography. Signals were sampled at a resting horizontal position for 29 mins. Cluster analysis showed a mean +/- sd time delay for CC [BP --> FV(MCA right)] of 6.45 +/- 2.1 secs, and for CC [BP --> FV(MCA left) ] of 6.09 +/- 1.8 secs. The mean correlation coefficient was -.33 +/-.17 for the left and -.36 +/-.09 for the right side. In about 30%, differing results with a correlation coefficient between -.2 and.2 and a time delay near zero were found. Cross-correlation between left and right FV showed a mean time delay of 0.09 +/- 0.18 secs, with a mean correlation coefficient of.82 +/-.16. CONCLUSION Spontaneous slow oscillations of BP and FV were detected, and cross-correlation analysis showed a negative correlation and a positive time delay in about 70% of the examinations. These findings corroborate the hypothesis that CC [BP --> FV] might be able to assess the status of cerebral autoregulation continuously. The observed time delay between BP and FV oscillations is in good agreement with former studies on the dynamic properties of cerebral autoregulation.

Download full-text PDF

Source
http://dx.doi.org/10.1097/00003246-200209000-00004DOI Listing

Publication Analysis

Top Keywords

time delay
28
cerebral autoregulation
16
correlation coefficient
16
[bp -->
16
cross-correlation analysis
12
healthy volunteers
8
slow oscillations
8
negative correlation
8
--> fv]
8
--> fvmca
8

Similar Publications

Background: Identifying strategies to engage with potential participants is critical for efficient enrollment in Alzheimer's Disease (AD) trials. Previous studies link faster speed of first contact with successful phone interview completion for Major Depressive Disorder (MDD) participants. This has not been examined in AD participants.

View Article and Find Full Text PDF

Drug Development.

Alzheimers Dement

December 2024

Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

Background: Clinical trials should strive to yield results that are clinically meaningful rather than solely relying on statistical significance. However, the determination of clinical meaningfulness of dementia clinical trials lacks standardization and varies based on the trial's nature. To tackle this issue, a proposed approach involves assessing the time saved before reaching a specific threshold in cognitive status.

View Article and Find Full Text PDF

Drug Development.

Alzheimers Dement

December 2024

Suven Life Sciences, Hyderabad, Telangana, India.

Background: SUVN-I7016031 is a novel and selective positive allosteric modulator (PAM) of the M1 subtype of the muscarinic acetylcholine receptors (mAChRs). The proposed primary indication for SUVN-I7016031 is in the treatment of dementia such as Alzheimer's disease dementia (ADD) and Parkinson's disease dementia (PDD). In the current research, the pharmacological properties of SUVN-I7016031 in various types of dementia were investigated.

View Article and Find Full Text PDF

Drug Development.

Alzheimers Dement

December 2024

University of California, Irvine, Irvine, CA, USA.

Background: Recruitment challenges in people with and without Down syndrome (DS) can delay research progress and risk sample bias. This study identified and quantified differences in research attitudes across populations of research enrollment decision-makers for individuals with and without DS.

Method: We compared scores on the Research Attitudes Questionnaire (RAQ) of individuals enrolled in two recruitment registries: the UCI Consent to Contact [C2C (N = 4818)] and DS-Connect (N = 976).

View Article and Find Full Text PDF

Background: Sleep patterns and disruptions may associate with increased dementia risk and contribute to its progression and cognitive decline. Understanding the complexity of the sleep-dementia relationship is crucial for developing interventions that may delay cognitive decline and enhance the well-being of individuals with dementia. This study seeks to explore how the sleeping patterns of patients with dementia impact them and aims to provide insights to help improve the sleep patterns of individuals affected by dementia.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!