15 research outputs found

    Spatiotemporal propagation of cerebral hemodynamics during and after resuscitation from cardiac arrest

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    Cardiac arrest (CA) affects over 500,000 people in the United States. Although resuscitation efforts have improved, poor neurological outcome is the leading cause of morbidity in CA survivors, and only 8.3% of out-of-hospital CA survivors have good neurological recovery. Therefore, a detailed understanding of the brain before, during, and after CA and resuscitation is critical. We have previously shown, in a preclinical model of asphyxial CA, that measurement of cerebral blood flow (CBF) is essential to better understand what happens to the brain during CA and resuscitation. We have shown that CBF data can be used to predict the time when brain electrical activity resumes. Moreover, we have described CBF characteristics after resuscitation, including the hyperemic peak and stabilized hypoperfusion. Overall, our previous work focused on the study of the temporal evolution of CBF dynamics. To provide a more complete picture of CBF dynamics associated with CA and resuscitation, we postulate that both the temporal and spatial evolution of CBF dynamics must be understood. To investigate spatiotemporal dynamics, we used laser speckle imaging (LSI) to image rats (n = 6) that underwent either 5- or 7-min asphyxial CA, followed by cardiopulmonary resuscitation (CPR) until return of spontaneous circulation (ROSC). During induction of global cerebral ischemia through CA, we have observed two periods during which a decrease in CBF propagates in space in a cranial window over the right hemisphere. The first period of time is during CA and the second is after the hyperemic peak, before stabilized hypoperfusion occurs post-ROSC. Figure 1 shows a representative rat blood flow maps of the spatial propagation during CA (top row) and after ROSC (bottom row). For each row, the leftmost image shows CBF at t = 0min, and each subsequent image to the right is the time after the initial image. The arrows on the images represent the propagation direction in which CBF decreases. In this example, during CA, the propagation direction is down and to the left (posterior-medial anatomically), while after ROSC it is down and to the right (posterior-laterally, anatomically). Please click Additional Files below to see the full abstract

    Using a multimodal platform to investigate the role of spreading depolarization and hemodynamics in neurological recovery

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    Acute brain injury, such as traumatic brain injury, stroke, and subarachnoid hemorrhage exhibit spreading depolarizations (SDs). SDs have been associated with worsening neuronal injury and are thought to contribute towards overall worse neurological outcome. SDs during global cerebral ischemia and its implications on neurological recovery following reperfusion are poorly understood. We investigated the role of SDs in a global cerebral ischemia model of cardiac arrest (CA) and cardiopulmonary resuscitation (CPR). To induce SD, rats underwent asphyxial CA (ACA) for 5-, 7-, or 8-min, which was followed by CPR. Previous studies used electrocorticography (ECoG) to detect SDs. We used a multimodal platform of ECoG, laser speckle imaging (LSI), and spatial frequency domain imaging (SFDI) to continuously monitor rats during SD and recovery. We measured brain electrophysiology, cerebral blood flow (CBF), tissue scattering, and cerebral metabolic rate of oxygen (CMRO2). Neurological outcome was measured 90min post-CPR using quantitative ECoG (i.e. information quantity (IQ)) and 24h post-CPR using behavioral tests (i.e. Neurological Deficit Score; NDS). SDs were manually detected after applying a 1Hz low-pass filter on ECoG (Fig 1A, red number 2) and with tissue scattering from SFDI (Fig 1B, bottom, spatial increase in tissue scattering from right to left). SDs typically occurred within 2-3min after onset of asphyxia, during which vasoconstriction of cerebral vessels, waves of spreading ischemia and scattering, and abrupt changes in CMRO2 were visualized. Interestingly, rats with earlier SD showed better neurological recovery (NDS) (Fig 1C). In addition to earlier SD being associated with better neurological recovery, we also found that less total CBF prior to SD (Fig 1D) and a smaller change in tissue scattering (Fig 1E) during SD were associated with better neurological recovery (ECoG IQ). Although SDs have typically been perceived to be harmful and detrimental to neurological outcome, our data provides evidence that earlier SDs may have neuroprotective potential. These data provide support for the earliest known biomarker of neurological outcome post-CA. These findings may lead to novel therapies to modulate SDs during CA and acute brain injury that improve neurological outcome

    Cerebral blood flow is decoupled from blood pressure and linked to EEG bursting after resuscitation from cardiac arrest.

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    In the present study, we have developed a multi-modal instrument that combines laser speckle imaging, arterial blood pressure, and electroencephalography (EEG) to quantitatively assess cerebral blood flow (CBF), mean arterial pressure (MAP), and brain electrophysiology before, during, and after asphyxial cardiac arrest (CA) and resuscitation. Using the acquired data, we quantified the time and magnitude of the CBF hyperemic peak and stabilized hypoperfusion after resuscitation. Furthermore, we assessed the correlation between CBF and MAP before and after stabilized hypoperfusion. Finally, we examined when brain electrical activity resumes after resuscitation from CA with relation to CBF and MAP, and developed an empirical predictive model to predict when brain electrical activity resumes after resuscitation from CA. Our results show that: 1) more severe CA results in longer time to stabilized cerebral hypoperfusion; 2) CBF and MAP are coupled before stabilized hypoperfusion and uncoupled after stabilized hypoperfusion; 3) EEG activity (bursting) resumes after the CBF hyperemic phase and before stabilized hypoperfusion; 4) CBF predicts when EEG activity resumes for 5-min asphyxial CA, but is a poor predictor for 7-min asphyxial CA. Together, these novel findings highlight the importance of using multi-modal approaches to investigate CA recovery to better understand physiological processes and ultimately improve neurological outcome

    Neural Correlates of Consciousness at Near-Electrocerebral Silence in an Asphyxial Cardiac Arrest Model

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    Recent electrophysiological studies have suggested surges in electrical correlates of consciousness (i.e., elevated gamma power and connectivity) after cardiac arrest (CA). This study examines electrocorticogram (ECoG) activity and coherence of the dying brain during asphyxial CA. Male Wistar rats (n = 16) were induced with isoflurane anesthesia, which was washed out before asphyxial CA. Mean phase coherence and ECoG power were compared during different stages of the asphyxial period to assess potential neural correlates of consciousness. After asphyxia, the ECoG progressed through four distinct stages (asphyxial stages 1-4 [AS1-4]), including a transient period of near-electrocerebral silence lasting several seconds (AS3). Electrocerebral silence (AS4) occurred within 1 min of the start of asphyxia, and pulseless electrical activity followed the start of AS4 by 1-2 min. AS3 was linked to a significant increase in frontal coherence between the left and right motor cortices (p < 0.05), with no corresponding increase in ECoG power. AS3 was also associated with a significant posterior shift of ECoG power, favoring the visual cortices (p < 0.05). Although the ECoG during AS3 appears visually flat or silent when viewed with standard clinical settings, our study suggests that this period of transient near-electrocerebral silence contains distinctive neural activity. Specifically, the burst in frontal coherence and posterior shift of ECoG power that we find during this period immediately preceding CA may be a neural correlate of conscious processing
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