3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Assessing low-frequency oscillations in cerebrovascular diseases and related conditions with near-infrared spectroscopy: a plausible method for evaluating cerebral autoregulation?

      review-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background:

          Cerebral autoregulation (CA) is the brain’s ability to always maintain an adequate and relatively constant blood supply, which is often impaired in cerebrovascular diseases. Near-infrared spectroscopy (NIRS) examines oxygenated hemoglobin (OxyHb) in the cerebral cortex. Low- and very low-frequency oscillations ( LFOs 0.1    Hz and VLFOs 0.05 to 0.01 Hz) in OxyHb have been proposed to reflect CA.

          Aim:

          To systematically review published results on OxyHb LFOs and VLFOs in cerebrovascular diseases and related conditions measured with NIRS.

          Approach:

          A systematic search was performed in the MEDLINE database, which generated 36 studies relevant for inclusion.

          Results:

          Healthy people have relatively stable LFOs. LFO amplitude seems to reflect myogenic CA being decreased by vasomotor paralysis in stroke, by smooth muscle damage or as compensatory action in other conditions but can also be influenced by the sympathetic tone. VLFO amplitude is believed to reflect neurogenic and metabolic CA and is lower in stroke, atherosclerosis, and with aging. Both LFO and VLFO synchronizations appear disturbed in stroke, while the former is also altered in internal carotid stenosis and hypertension.

          Conclusion:

          We conclude that amplitudes of LFOs and VLFOs are relatively robust measures for evaluating mechanisms of CA and synchronization analyses can show temporal disruption of CA. Further research and more coherent methodologies are needed.

          Related collections

          Most cited references132

          • Record: found
          • Abstract: found
          • Article: not found

          A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology.

          This year marks the 20th anniversary of functional near-infrared spectroscopy and imaging (fNIRS/fNIRI). As the vast majority of commercial instruments developed until now are based on continuous wave technology, the aim of this publication is to review the current state of instrumentation and methodology of continuous wave fNIRI. For this purpose we provide an overview of the commercially available instruments and address instrumental aspects such as light sources, detectors and sensor arrangements. Methodological aspects, algorithms to calculate the concentrations of oxy- and deoxyhemoglobin and approaches for data analysis are also reviewed. From the single-location measurements of the early years, instrumentation has progressed to imaging initially in two dimensions (topography) and then three (tomography). The methods of analysis have also changed tremendously, from the simple modified Beer-Lambert law to sophisticated image reconstruction and data analysis methods used today. Due to these advances, fNIRI has become a modality that is widely used in neuroscience research and several manufacturers provide commercial instrumentation. It seems likely that fNIRI will become a clinical tool in the foreseeable future, which will enable diagnosis in single subjects. Copyright © 2013 Elsevier Inc. All rights reserved.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI.

            Subtle changes in a subject's breathing rate or depth, which occur naturally during rest at low frequencies (<0.1 Hz), have been shown to be significantly correlated with fMRI signal changes throughout gray matter and near large vessels. The goal of this study was to investigate the impact of these low-frequency respiration variations on both task activation fMRI studies and resting-state functional connectivity analysis. Unlike MR signal changes correlated with the breathing motion ( approximately 0.3 Hz), BOLD signal changes correlated with across-breath variations in respiratory volume ( approximately 0.03 Hz) appear localized to blood vessels and regions with high blood volume, such as gray matter, similar to changes seen in response to a breath-hold challenge. In addition, the respiration-variation-induced signal changes were found to coincide with many of the areas identified as part of the 'default mode' network, a set of brain regions hypothesized to be more active at rest. Regions could therefore be classified as being part of a resting network based on their similar respiration-induced changes rather than their synchronized neuronal activity. Monitoring and removing these respiration variations led to a significant improvement in the identification of task-related activation and deactivation and only slight differences in regions correlated with the posterior cingulate at rest. Regressing out global signal changes or cueing the subject to breathe at a constant rate and depth resulted in an improved spatial overlap between deactivations and resting-state correlations among areas that showed deactivation.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Moyamoya disease: current concepts and future perspectives.

              Moyamoya disease is an uncommon cerebrovascular disease that is characterised by progressive stenosis of the terminal portion of the internal carotid artery and its main branches. The disease is associated with the development of dilated, fragile collateral vessels at the base of the brain, which are termed moyamoya vessels. The incidence of moyamoya disease is high in east Asia, and familial forms account for about 15% of patients with this disease. Moyamoya disease has several unique clinical features, which include two peaks of age distribution at 5 years and at about 40 years. Most paediatric patients have ischaemic attacks, whereas adult patients can have ischaemic attacks, intracranial bleeding, or both. Extracranial-intracranial arterial bypass, including anastomosis of the superficial temporal artery to the middle cerebral artery and indirect bypass, can help prevent further ischaemic attacks, although the beneficial effect on haemorrhagic stroke is still not clear. In this Review, we summarise the epidemiology, aetiology, clinical features, diagnosis, surgical treatment, and outcomes of moyamoya disease. Recent updates and future perspectives for moyamoya disease will also be discussed.
                Bookmark

                Author and article information

                Journal
                Neurophotonics
                Neurophotonics
                NEUROW
                NPh
                Neurophotonics
                Society of Photo-Optical Instrumentation Engineers
                2329-423X
                2329-4248
                18 September 2018
                July 2018
                : 5
                : 3
                : 030901
                Affiliations
                [a ]Rigshospitalet , Department of Neurology, Glostrup, Denmark
                [b ]University of Copenhagen , Department of Clinical Medicine, Copenhagen, Denmark
                Author notes
                [* ]Address all correspondence to: Adam Vittrup Andersen, E-mail: adam.vittrup.andersen.01@ 123456regionh.dk
                Author information
                https://orcid.org/0000-0002-3869-2175
                https://orcid.org/0000-0002-1987-7318
                https://orcid.org/0000-0002-6262-2986
                https://orcid.org/0000-0002-5880-6352
                Article
                NPh-18027VR 18027VR
                10.1117/1.NPh.5.3.030901
                6156398
                30689678
                48599a08-deef-4820-8e12-a1818f24bdf8
                © The Authors.

                Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

                History
                : 16 May 2018
                : 2 August 2018
                Page count
                Figures: 5, Tables: 5, References: 144, Pages: 14
                Categories
                Review Papers
                Paper
                Custom metadata
                Andersen, et al.: Assessing low-frequency oscillations in cerebrovascular diseases and related conditions…

                cerebral autoregulation,near-infrared spectroscopy,low-frequency oscillations,cerebrovascular diseases,risk of stroke

                Comments

                Comment on this article