2,674 research outputs found
Broad-band X-ray/gamma-ray spectra and binary parameters of GX 339-4 and their astrophysical implications
We present X-ray/gamma-ray spectra of the binary GX 339-4 observed in the
hard state simultaneously by Ginga and CGRO OSSE during an outburst in 1991
September. The Ginga spectra are well represented by a power law with a photon
spectral index of 1.75 and a moderately-strong Compton reflection component
with a fluorescent Fe K alpha line. The OSSE data require a sharp high-energy
cutoff in the power-law spectrum. The broad-band spectra are very well modelled
by repeated Compton scattering in a thermal plasma with tau=1 and kT=50 keV. We
also find the distance to the system to be > 3 kpc, ruling out earlier
determinations of 1.3 kpc. Using this limit, the observed reddening and the
orbital period, we find the allowed range of the mass of the primary is
consistent with it being a black hole. The data are inconsistent with models of
either homogenous or patchy coronae above the surface of an accretion disc.
Rather, they are consistent with the presence of a hot inner hot disc accreting
at a rate close to the maximum set by advection and surrounded by a cold outer
disc. The seed photons for Comptonization are supplied by the outer cold disc
and/or cold clouds within the hot disc. Pair production is negligible if
electrons are thermal. The hot disc model, which scaled parameters are
independent of the black-hole mass, is supported by the similarity of the
spectrum of GX 339-4 to those of other black-hole binaries and Seyfert 1s. On
the other hand, their spectra in the soft gamma-ray regime are significantly
harder than those of weakly-magnetized neutron stars. Based on this difference,
we propose that the presence of broad-band spectra corresponding to thermal
Comptonization with kT of 50 keV or more represents a black-hole signature.Comment: 17 pages, 9 figures, accepted to MNRA
Thermal/non-thermal model of Cyg X-1 in the soft state
We analyze X-ray/gamma-ray observations of Cyg X-1 in the soft state. We find
the hybrid thermal/non-thermal model fits the data very well. The significant
contribution from the non-thermal electrons is required to account for the
observed power law extending without a break to at least 800 keV. The presence
of electron-positron pairs in the hot source is unlikely. We propose the
geometry in which a cold accretion disk, surrounded by a hot corona, extends
down to the last stable orbit. At the observed accretion rate the corona
ensures the stability of the cold disk.Comment: 4 pages, 3 figures, Proceedings of the Conference "The Active X-ray
Sky", Rome, 21-24 October 199
Assessment of F-18-PI-2620 as a Biomarker in Progressive Supranuclear Palsy
Importance Progressive supranuclear palsy (PSP) is a 4-repeat tauopathy. Region-specific tau aggregates establish the neuropathologic diagnosis of definite PSP post mortem. Future interventional trials against tau in PSP would strongly benefit from biomarkers that support diagnosis. Objective: To investigate the potential of the novel tau radiotracer F-18-PI-2620 as a biomarker in patients with clinically diagnosed PSP. Design, Setting, and Participants In this cross-sectional study, participants underwent dynamic F-18-PI-2620 positron emission tomography (PET) from 0 to 60 minutes after injection at 5 different centers (3 in Germany, 1 in the US, and 1 in Australia). Patients with PSP (including those with Richardson syndrome [RS]) according to Movement Disorder Society PSP criteria were examined together with healthy controls and controls with disease. Four additionally referred individuals with PSP-RS and 2 with PSP-non-RS were excluded from final data analysis owing to incomplete dynamic PET scans. Data were collected from December 2016 to October 2019 and were analyzed from December 2018 to December 2019. Main Outcomes and Measures: Postmortem autoradiography was performed in independent PSP-RS and healthy control samples. By in vivo PET imaging, F-18-PI-2620 distribution volume ratios were obtained in globus pallidus internus and externus, putamen, subthalamic nucleus, substantia nigra, dorsal midbrain, dentate nucleus, dorsolateral, and medial prefrontal cortex. PET data were compared between patients with PSP and control groups and were corrected for center, age, and sex. Results Of 60 patients with PSP, 40 (66.7%) had RS (22 men [55.0%];mean [SD] age, 71 [6] years;mean [SD] PSP rating scale score, 38 [15];score range, 13-71) and 20 (33.3%) had PSP-non-RS (11 men [55.0%];mean [SD] age, 71 [9] years;mean [SD] PSP rating scale score, 24 [11];score range, 11-41). Ten healthy controls (2 men;mean [SD] age, 67 [7] years) and 20 controls with disease (of 10 [50.0%] with Parkinson disease and multiple system atrophy, 7 were men;mean [SD] age, 61 [8] years;of 10 [50.0%] with Alzheimer disease, 5 were men;mean [SD] age, 69 [10] years). Postmortem autoradiography showed blockable F-18-PI-2620 binding in patients with PSP and no binding in healthy controls. The in vivo findings from the first large-scale observational study in PSP with F-18-PI-2620 indicated significant elevation of tracer binding in PSP target regions with strongest differences in PSP vs control groups in the globus pallidus internus (mean [SD] distribution volume ratios: PSP-RS, 1.21 [0.10];PSP-non-RS, 1.12 [0.11];healthy controls, 1.00 [0.08];Parkinson disease/multiple system atrophy, 1.03 [0.05];Alzheimer disease, 1.08 [0.06]). Sensitivity and specificity for detection of PSP-RS vs any control group were 85% and 77%, respectively, when using classification by at least 1 positive target region. Conclusions and Relevance: This multicenter evaluation indicates a value of F-18-PI-2620 to differentiate suspected patients with PSP, potentially facilitating more reliable diagnosis of PSP. Question Can tau-positron emission tomography imaging with the novel tau radiotracer F-18-PI-2620 differentiate patients with progressive supranuclear palsy (PSP) from healthy controls and controls with disease? Findings In this cross-sectional study of 60 patients with PSP, 10 healthy controls, and 20 controls with disease, there was significantly higher F-18-PI-2620 binding in target regions of patients with PSP compared with controls regardless of disease severity. Individual patients with PSP with Richardson syndrome were separated with high sensitivity and specificity. Meaning F-18-PI-2620 tau-positron emission tomography differentiates patients with PSP from controls at the single-patient level, potentially facilitating a more reliable diagnosis. This cross-sectional study investigates the potential of novel tau radiotracer F-18-PI-2620 as a biomarker in patients with clinically diagnosed progressive supranuclear palsy
Wavelet pressure reactivity index: a validation study.
KEY POINTS: The brain is vulnerable to damage from too little or too much blood flow. A physiological mechanism termed cerebral autoregulation (CA) exists to maintain stable blood flow even if cerebral perfusion pressure (CPP) is changing. A robust method for assessing CA is not yet available. There are still some problems with the traditional measure, the pressure reactivity index (PRx). We introduce a new method, the wavelet transform method (wPRx), to assess CA using data from two sets of controlled hypotension experiments in piglets: one set had artificially manipulated arterial blood pressure (ABP) oscillations; the other group were spontaneous ABP waves. A significant linear relationship was found between wPRx and PRx in both groups, with wPRx providing a more stable result for the spontaneous waves. Although both methods showed similar accuracy in distinguishing intact and impaired CA, it seems that wPRx tends to perform better than PRx, although not significantly so. ABSTRACT: We present a novel method to monitor cerebral autoregulation (CA) using the wavelet transform (WT). The new method is validated against the pressure reactivity index (PRx) in two piglet experiments with controlled hypotension. The first experiment (n = 12) had controlled haemorrhage with artificial stationary arterial blood pressure (ABP) and intracranial pressure (ICP) oscillations induced by sinusoidal slow changes in positive end-expiratory pressure ('PEEP group'). The second experiment (n = 17) had venous balloon inflation during spontaneous, non-stationary ABP and ICP oscillations ('non-PEEP group'). The wavelet transform phase shift (WTP) between ABP and ICP was calculated in the frequency range 0.0067-0.05 Hz. Wavelet semblance, the cosine of WTP, was used to make the values comparable to PRx, and the new index was termed wavelet pressure reactivity index (wPRx). The traditional PRx, the running correlation coefficient between ABP and ICP, was calculated. The result showed a significant linear relationship between wPRx and PRx in the PEEP group (R = 0.88) and non-PEEP group (R = 0.56). In the non-PEEP group, wPRx showed better performance than PRx in distinguishing cerebral perfusion pressure (CPP) above and below the lower limit of autoregulation (LLA). When CPP was decreased below LLA, wPRx increased from 0.43 ± 0.28 to 0.69 ± 0.12 (P = 0.003) while PRx increased from 0.07 ± 0.21 to 0.27 ± 0.37 (P = 0.04). Moreover, wPRx provided a more stable result than PRx (SD of PRx was 0.40 ± 0.07, and SD of wPRx was 0.28 ± 0.11, P = 0.001). Assessment of CA using wavelet-derived phase shift between ABP and ICP is feasible
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Validation of Pressure Reactivity and Pulse Amplitude Indices against the Lower Limit of Autoregulation, Part I: Experimental Intracranial Hypertension.
The purpose of this study was to provide validation of intracranial pressure (ICP) derived continuous indices of cerebrovascular reactivity against the lower limit of autoregulation (LLA). Utilizing an intracranial hypertension model within white New Zealand rabbits, ICP, transcranial Doppler (TCD), laser Doppler flowmetry (LDF), and arterial blood pressure were recorded. Data were retrospectively analyzed in a cohort of 12 rabbits with adequate signals for interrogating the LLA. We derived continuous indices of cerebrovascular reactivity: PRx (correlation between ICP and mean arterial pressure [MAP]), PAx (correlation between pulse amplitude of ICP [AMP] and MAP), and Lx (correlation between LDF-based cerebral blood flow [CBF] and cerebral perfusion pressure [CPP]). LLA was derived via piecewise linear regression of CPP versus LDF or CPP versus systolic flow velocity (FVs) plots. We then produced error bar plots for PRx, PAx, and Lx against 2.5 mm Hg bins of CPP, to display the relationship between these indices and the LLA. We compared the CPP values at clinically relevant thresholds of PRx and PAx, to the CPP defined at the LLA. Receiver operating curve (ROC) analysis was performed for each index across the LLA using 2.5 mm Hg bins for CPP. The mean LLA was 51.5 ± 8.2 mm Hg. PRx and PAx error bar plots demonstrate that each index correlates with the LLA, becoming progressively more positive below the LLA. Similarly, CPP values at clinically relevant thresholds of PRx and PAx were not statistically different from the CPP derived at the LLA. Finally, ROC analysis indicated that PRx and PAx predicted the LAA, with areas under the curve (AUCs) of 0.795 (95% confidence interval [CI]: 0.731-0.857, p < 0.0001) and 0.703 (95% CI: 0.631-0.775, p < 0.0001), respectively. Both PRx and PAx generally agree with LLA within this experimental model of intracranial hypertension. Further analysis of clinically used indices of autoregulation across the LLA within pure arterial hypotension models is required
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A noninvasive estimation of cerebral perfusion pressure using critical closing pressure.
OBJECT: Cerebral blood flow is associated with cerebral perfusion pressure (CPP), which is clinically monitored through arterial blood pressure (ABP) and invasive measurements of intracranial pressure (ICP). Based on critical closing pressure (CrCP), the authors introduce a novel method for a noninvasive estimator of CPP (eCPP). METHODS: Data from 280 head-injured patients with ABP, ICP, and transcranial Doppler ultrasonography measurements were retrospectively examined. CrCP was calculated with a noninvasive version of the cerebrovascular impedance method. The eCPP was refined with a predictive regression model of CrCP-based estimation of ICP from known ICP using data from 232 patients, and validated with data from the remaining 48 patients. RESULTS: Cohort analysis showed eCPP to be correlated with measured CPP (R = 0.851, p < 0.001), with a mean ± SD difference of 4.02 ± 6.01 mm Hg, and 83.3% of the cases with an estimation error below 10 mm Hg. eCPP accurately predicted low CPP (< 70 mm Hg) with an area under the curve of 0.913 (95% CI 0.883-0.944). When each recording session of a patient was assessed individually, eCPP could predict CPP with a 95% CI of the SD for estimating CPP between multiple recording sessions of 1.89-5.01 mm Hg. CONCLUSIONS: Overall, CrCP-based eCPP was strongly correlated with invasive CPP, with sensitivity and specificity for detection of low CPP that show promise for clinical use.G. Varsos is supported by an A. G. Leventis Foundation Scholarship and a Charter Studentship from St. Edmund’s College, Cambridge. Dr. Kolias is supported by a Royal College of Surgeons of England Research Fellowship, a National Institute for Health Research (NIHR) Academic Clinical Fellowship, and a Raymond and Beverly Sackler Studentship. He also chairs the British Neurosurgical Trainee Research Collaborative, which has been supported with an educational grant from Codman. Dr. Hutchinson is supported by an NIHR Research Professorship, the NIHR Cambridge Biomedical Research Centre, and has been appointed as the Surgical Specialty Lead for Neurosurgery, Royal College of Surgeons of England Clinical Research Initiative. He is a director of Technicam, a manufacturer of cranial access devices for neuromonitoring. He has also received honoraria from Codman. J. Pickard’s research (excluding salary) is supported by the NIHR Cambridge Biomedical Research Centre and an NIHR Senior Investigator Award. ICM+ Software is licensed by Cambridge Enterprise, Cambridge, UK, and Dr. Czosnyka and Dr. Smielewski have a financial interest in a fraction of the licensing fee. Dr. Czosnyka has also served as a consultant to Codman.This is the author accepted manuscript. The final version is available from American Association of Neurological Surgeons via http://dx.doi.org/10.3171/2014.10.JNS14613
Comparison of frequency and time domain methods of assessment of cerebral autoregulation in traumatic brain injury.
The impulse response (IR)-based autoregulation index (ARI) allows for continuous monitoring of cerebral autoregulation using spontaneous fluctuations of arterial blood pressure (ABP) and cerebral flow velocity (FV). We compared three methods of autoregulation assessment in 288 traumatic brain injury (TBI) patients managed in the Neurocritical Care Unit: (1) IR-based ARI; (2) transfer function (TF) phase, gain, and coherence; and (3) mean flow index (Mx). Autoregulation index was calculated using the TF estimation (Welch method) and classified according to the original Tiecks' model. Mx was calculated as a correlation coefficient between 10-second averages of ABP and FV using a moving 300-second data window. Transfer function phase, gain, and coherence were extracted in the very low frequency (VLF, 0 to 0.05 Hz) and low frequency (LF, 0.05 to 0.15 Hz) bandwidths. We studied the relationship between these parameters and also compared them with patients' Glasgow outcome score. The calculations were performed using both cerebral perfusion pressure (CPP; suffix 'c') as input and ABP (suffix 'a'). The result showed a significant relationship between ARI and Mx when using either ABP (r=-0.38, P<0.001) or CPP (r=-0.404, P<0.001) as input. Transfer function phase and coherence_a were significantly correlated with ARI_a and ARI_c (P<0.05). Only ARI_a, ARI_c, Mx_a, Mx_c, and phase_c were significantly correlated with patients' outcome, with Mx_c showing the strongest association.This is the accepted manuscript. The final version's available from Nature Publishing at http://dx.doi/10.1038/jcbfm.2014.192
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