Davide Carone

Hand classification of fMRI ICA noise components.

&NA; We present a practical “how‐to” guide to help determine whether single‐subject fMRI independent components (ICs) characterise structured noise or not. Manual identification of signal and noise after ICA decomposition is required for efficient data denoising: to train supervised algorithms, to check the results of unsupervised ones or to manually clean the data. In this paper we describe the main spatial and temporal features of ICs and provide general guidelines on how to evaluate these. Examples of signal and noise components are provided from a wide range of datasets (3T data, including examples from the UK Biobank and the Human Connectome Project, and 7T data), together with practical guidelines for their identification. Finally, we discuss how the data quality, data type and preprocessing can influence the characteristics of the ICs and present examples of particularly challenging datasets.

Hemodynamic monitoring of intracranial collateral flow predicts tissue and functional outcome in experimental ischemic stroke

Intracranial collaterals provide residual blood flow to penumbral tissue in acute ischemic stroke and contribute to infarct size variability in humans. In the present study, hemodynamic monitoring of the borderzone territory between the leptomeningeal branches of middle cerebral artery and anterior cerebral artery was compared to lateral middle cerebral artery territory, during common carotid artery occlusion and middle cerebral artery occlusion in rats. The functional performance of intracranial collaterals, shown by perfusion deficit in the territory of leptomeningeal branches either during common carotid artery occlusion or middle cerebral artery occlusion, showed significant variability among animals and consistently predicted infarct size and functional deficit. Our findings indicate that leptomeningeal collateral flow is a strong predictor of stroke severity in rats, similarly to humans. Monitoring of collateral blood flow in experimental stroke is essential for reducing variability in neuroprotection studies and accelerating the development of collateral therapeutics.

Cerebral collateral therapeutics in acute ischemic stroke: A randomized preclinical trial of four modulation strategies

Cerebral collaterals are dynamically recruited after arterial occlusion and highly affect tissue outcome in acute ischemic stroke. We investigated the efficacy and safety of four pathophysiologically distinct strategies for acute modulation of collateral flow (collateral therapeutics) in the rat stroke model of transient middle cerebral artery (MCA) occlusion. A composed randomization design was used to assign rats (n = 118) to receive phenylephrine (induced hypertension), polygeline (intravascular volume load), acetazolamide (cerebral arteriolar vasodilation), head down tilt (HDT) 15° (cerebral blood flow diversion), or no treatment, starting 30 min after MCA occlusion. Compared to untreated animals, treatment with collateral therapeutics was associated with lower infarct volumes (62% relative mean difference; 51.57 mm3 absolute mean difference; p < 0.001) and higher chance of good functional outcome (OR 4.58, p < 0.001). Collateral therapeutics acutely increased cerebral perfusion in the medial (+40.8%; p < 0.001) and lateral (+19.2%; p = 0.016) MCA territory compared to pretreatment during MCA occlusion. Safety indicators were treatment-related mortality and cardiorespiratory effects. The highest efficacy and safety profile was observed for HDT. Our findings suggest that acute modulation of cerebral collaterals is feasible and provides a tissue-saving effect in the hyperacute phase of ischemic stroke prior to recanalization therapy.

Multi-site laser Doppler flowmetry for assessing collateral flow in experimental ischemic stroke: Validation of outcome prediction with acute MRI

High variability in infarct size is common in experimental stroke models and affects statistical power and validity of neuroprotection trials. The aim of this study was to explore cerebral collateral flow as a stratification factor for the prediction of ischemic outcome. Transient intraluminal occlusion of the middle cerebral artery was induced for 90 min in 18 Wistar rats. Cerebral collateral flow was assessed intra-procedurally using multi-site laser Doppler flowmetry monitoring in both the lateral middle cerebral artery territory and the borderzone territory between middle cerebral artery and anterior cerebral artery. Multi-modal magnetic resonance imaging was used to assess acute ischemic lesion (diffusion-weighted imaging, DWI), acute perfusion deficit (time-to-peak, TTP), and final ischemic lesion at 24 h. Infarct volumes and typology at 24 h (large hemispheric versus basal ganglia infarcts) were predicted by both intra-ischemic collateral perfusion and acute DWI lesion volume. Collateral flow assessed by multi-site laser Doppler flowmetry correlated with the corresponding acute perfusion deficit using TTP maps. Multi-site laser Doppler flowmetry monitoring was able to predict ischemic outcome and perfusion deficit in good agreement with acute MRI. Our results support the additional value of cerebral collateral flow monitoring for outcome prediction in experimental ischemic stroke, especially when acute MRI facilities are not available.

Quantifying Infarct Growth and Secondary Injury Volumes: Comparing Multimodal Image Registration Measures.

Background and Purpose— Lesion expansion in the week after acute stroke involves both infarct growth (IG) and anatomic distortion (AD) because of edema and hemorrhage. Enabling separate quantification would allow clinical trials targeting these distinct pathological processes. We developed an objective and automated approach to quantify these processes at 24 hours and 1 week. Methods— Patients with acute ischemic stroke were scanned at presentation, 24 hours, and 1 week in a magnetic resonance imaging (MRI) cohort study. IG and AD were calculated from follow-up lesion masks after linear and nonlinear registration to a presenting MRI scan. Performance of IG and AD was compared with edema quantified using cerebrospinal fluid displacement. The use of alternative reference images to define AD, including template MRI, mirrored MRI, and presenting computed tomographic scan, was explored. Results— Thirty-seven patients with nonlacunar stroke were included. AD was responsible for 20% and 36% of lesion expansion at 24 hours (n=30) and 1 week (n=28). Registration-defined IG and AD compared favorably with edema quantified using cerebrospinal fluid displacement, particularly at smaller infarct volumes. Presenting computed tomographic imaging was the preferred alternative reference image to presenting MRI for measuring AD. Conclusions— The contributions of IG and AD to lesion expansion can be measured separately over time through the use of image registration. This approach can be used to combine imaging outcome data from computed tomography and MRI.

Impact of automated ICA-based denoising of fMRI data in acute stroke patients

Different strategies have been developed using Independent Component Analysis (ICA) to automatically de-noise fMRI data, either focusing on removing only certain components (e.g. motion-ICA-AROMA, Pruim et al., 2015a) or using more complex classifiers to remove multiple types of noise components (e.g. FIX, Salimi-Khorshidi et al., 2014 Griffanti et al., 2014). However, denoising data obtained in an acute setting might prove challenging: the presence of multiple noise sources may not allow focused strategies to clean the data enough and the heterogeneity in the data may be so great to critically undermine complex approaches. The purpose of this study was to explore what automated ICA based approach would better cope with these limitations when cleaning fMRI data obtained from acute stroke patients. The performance of a focused classifier (ICA-AROMA) and a complex classifier (FIX) approaches were compared using data obtained from twenty consecutive acute lacunar stroke patients using metrics determining RSN identification, RSN reproducibility, changes in the BOLD variance, differences in the estimation of functional connectivity and loss of temporal degrees of freedom. The use of generic-trained FIX resulted in misclassification of components and significant loss of signal (< 80%), and was not explored further. Both ICA-AROMA and patient-trained FIX based denoising approaches resulted in significantly improved RSN reproducibility (p < 0.001), localized reduction in BOLD variance consistent with noise removal, and significant changes in functional connectivity (p < 0.001). Patient-trained FIX resulted in higher RSN identifiability (p < 0.001) and wider changes both in the BOLD variance and in functional connectivity compared to ICA-AROMA. The success of ICA-AROMA suggests that by focusing on selected components the full automation can deliver meaningful data for analysis even in population with multiple sources of noise. However, the time invested to train FIX with appropriate patient data proved valuable, particularly in improving the signal-to-noise ratio.

Long‐term applicability of the new ILAE definition of epilepsy. Results from the PRO‐LONG study

The new epilepsy definition adopted by the International League Against Epilepsy (ILAE) includes patients with one unprovoked seizure with a probability of further seizures, similar to the general recurrence risk after two unprovoked seizures, occurring in a 10‐year period. Long‐term follow‐up of patients diagnosed after a single seizure is needed to assess the applicability of the new epilepsy definition in clinical practice.

Serial quantification of brain oxygenation in acute stroke using streamlined-qBOLD

It has been proposed that metabolic markers of baseline brain oxygenation have a role to play in the early identification of the ischemic penumbra. Streamlined-qBOLD is a magnetic resonance imaging technique that does not require exogenous contrast. It is a refinement of the quantitative BOLD methodology that provides a simplified approach to mapping and quantifying baseline brain oxygenation related parameters (reversible transverse relaxation rate (R2′), deoxygenated blood volume (DBV) and deoxyhaemoglobin concentration ([dHb])) in a clinically relevant manner. Streamlined-qBOLD was applied to an exploratory cohort of acute stroke patients in a serial imaging study. Detailed voxel-level analysis was used to quantify the metabolic profile of ischaemic tissue on presentation and investigate these metrics in relation to tissue outcome. Individual patient examples illustrate the appropriate interpretation of R2′, DBV and [dHb] in acute stroke and demonstrate the ability of this method to deliver regional information related to oxygen metabolism in the ischaemic tissue. Regional analysis confirms that R2′, DBV and [dHb] vary between regions of ischaemia with different tissue outcomes.

Experimental in-vivo model of intravascular shunting for neurosurgical by-pass.

BACKGROUND Excessively long clamping time and suboptimal position of stitches can influence the anastomosis patency and the clinical outcome in cerebral bypass surgery. Coronary intravascular micro-shunts could represent an innovative solution for neurosurgical bypass, but the hemodynamic properties of these devices should be extensively studied before their translational application. We created an experimental in-vivo model and we analyzed the blood flow and pressure modification induced by the micro-shunt. METHODS After laparotomy, an intravascular micro-shunt was placed into the aorta of 8 adult rats, simulating a neurosurgical setting in which the shunt is temporary placed inside the receiving cerebral vessel. A fiber-optic pressure sensor was placed in the femoral artery and the blood pressure continuously recorded during the procedure. Using an ultrasound vascular probe, blood flow velocity in aorta was measured at baseline and both proximally and distally to the shunt. RESULTS After shunt positioning, no significant decrease in blood pressure was observed (mean value 68.57 versus 80.00 mmHg; P=0.48). Distal aortic blood flow, expressed as peak systolic velocity, showed a significant decrease after shunt positioning (mean value 51.88 versus 86.88 cm/sec; P=0.04), with a mean residual blood flow of 63%. Blood flow values recorded immediately upstream to the shunt did not differ from baseline. CONCLUSIONS This is the first in-vivo experimental study concerning the hemodynamic properties of an intravascular micro-shunt. Our results demonstrate that this device provides a considerable blood out-flow without significant changes in blood pressure, suggesting that specific neurosurgical micro-shunts might be developed.