Proceedings from the Neurotherapeutics Symposium on Neurological Emergencies: Shaping the Future of Neurocritical Care

Seven Strategies to Integrate Equity within Translational Research in Neurology

The rapidly accelerating translation of biomedical advances is leading to revolutionary therapies that are often inaccessible to historically marginalized populations. We identified and synthesized recent guidelines and statements to propose 7 strategies to integrate equity within translational research in neurology: (1) learn history; (2) learn about upstream forces; (3) diversify and liberate; (4) change narratives and adopt best communication practices; (5) study social drivers of health and lived experiences; (6) leverage health technologies; and (7) build, sustain, and lead culturally humble teams. We propose that equity should be a major goal of translational research, equally important as safety and efficacy. ANN NEUROL 2024;95:432-441.

Crossing the AI Chasm in Neurocritical Care

Despite the growing interest in possible applications of computer science and artificial intelligence (AI) in the field of neurocritical care (neuro-ICU), widespread clinical applications are still missing. In neuro-ICU, the collection and analysis in real time of large datasets can play a crucial role in advancing this medical field and improving personalized patient care. For example, AI algorithms can detect subtle changes in brain activity or vital signs, alerting clinicians to potentially life-threatening conditions and facilitating rapid intervention. Consequently, data-driven AI and predictive analytics can greatly enhance medical decision making, diagnosis, and treatment, ultimately leading to better outcomes for patients. Nevertheless, there is a significant disparity between the current capabilities of AI systems and the potential benefits and applications that could be achieved with more advanced AI technologies. This gap is usually indicated as the AI chasm. In this paper, the underlying causes of the AI chasm in neuro-ICU are analyzed, along with proposed recommendations for utilizing AI to attain a competitive edge, foster innovation, and enhance patient outcomes. To bridge the AI divide in neurocritical care, it is crucial to foster collaboration among researchers, clinicians, and policymakers, with a focus on specific use cases. Additionally, strategic investments in AI technology, education and training, and infrastructure are needed to unlock the potential of AI technology. Before implementing a technology in patient care, it is essential to conduct thorough studies and establish clinical validation in real-world environments to ensure its effectiveness and safety. Finally, the development of ethical and regulatory frameworks is mandatory to ensure the secure and efficient deployment of AI technology throughout the process.

Cortical Spreading Depolarization, Blood Flow, and Cognitive Outcomes in a Closed Head Injury Mouse Model of Traumatic Brain Injury

BACKGROUND

Cortical spreading depolarizations (CSDs) are associated with worse outcomes in many forms of acute brain injury, including traumatic brain injury (TBI). Animal models could be helpful in developing new therapies or biomarkers to improve outcomes in survivors of TBI. Recently, investigators have observed CSDs in murine models of mild closed head injury (CHI). We designed the currently study to determine additional experimental conditions under which CSDs can be observed, from mild to relatively more severe TBI.

METHODS

Adult male C57Bl/6J mice (8-14 weeks old) were anesthetized with isoflurane and subjected to CHI with an 81-g weight drop from 152 or 183 cm. CSDs were detected with minimally invasive visible light optical intrinsic signal imaging. Cerebral blood flow index (CBFi) was measured in the 152-cm drop height cohort using diffuse correlation spectroscopy at baseline before and 4 min after CHI. Cognitive outcomes were assessed at 152- and 183-cm drop heights for the Morris water maze hidden platform, probe, and visible platform tests.

RESULTS

CSDs occurred in 43% (n = 12 of 28) of 152-cm and 58% (n = 15 of 26) of 183-cm drop height CHI mice (p = 0.28). A lower baseline preinjury CBFi was associated with development of CSDs in CHI mice (1.50 ± 0.07 × 10^-7 CHI without CSD [CSD-] vs. 1.17 ± 0.04 × 10^-7 CHI with CSD [CSD+], p = 0.0001). Furthermore, in CHI mice that developed CSDs, the ratio of post-CHI to pre-CHI CBFi was lower in the hemisphere ipsilateral to a CSD compared with non-CSD hemispheres (0.19 ± 0.07 less in the CSD hemisphere, p = 0.028). At a 152-cm drop height, there were no detectable differences between sham injured (n = 10), CHI CSD+ (n = 12), and CHI CSD- (n = 16) mice on Morris water maze testing at 4 weeks. At a 183-cm drop height, CHI CSD+ mice had worse performance on the hidden platform test at 1-2 weeks versus sham mice (n = 15 CHI CSD+, n = 9 sham, p = 0.045), but there was no appreciable differences compared with CHI CSD- mice (n = 11 CHI CSD-).

CONCLUSIONS

The data suggest that a lower baseline cerebral blood flow prior to injury may contribute to the occurrence of a CSD. Furthermore, a CSD at the time of injury can be associated with worse cognitive outcome under the appropriate experimental conditions in a mouse CHI model of TBI.

Predicting unconsciousness after propofol administration: qCON, BIS, and ALPHA band frequency power

During anesthesia induction with propofol the level of arousal progressively decreases until reaching loss of consciousness (LOC). In addition, there is a shift of alpha activity from parieto-occipital to frontal zones, defined as anteriorization. Whilst monitoring LOC and anteriorization would be useful to improve propofol dosage and patient safety, the current devices for anesthetic depth monitoring are unable to detect these events. The aim of this study was to observe LOC and anteriorization during anesthesia induction with propofol by applying electrodes placed in the frontal and parietal areas. Bispectral index (BIS) and quantium consciousness index (qCON) monitors were simultaneously employed. BIS™ and qCON sensors were placed in the frontal and parieto-occipital regions of 10 alopecic patients who underwent anesthesia with propofol, alfentanil, and remifentanil. The initial biophase target of propofol was 2.5 mcg/mL which was gradually increased until reaching LOC. Wilcoxon signed-rank test was used to study differences in alpha power and qCON/BIS indices along the study; and Pk value to evaluate predictive capability of anteriorization of BIS, qCON, and alpha waves. Parietal BIS and qCON values became significantly higher than frontal values 15 min after loss of eye reflex. Anteriorization was observed with both monitors. Pk values for BIS and qCON were strongly predictive of frontal alpha absolute power. During anesthesia induction with propofol it is possible to identify anteriorization with BIS and qCON in the frontal and parieto-occipital regions. Both indices showed different patterns which need to be further studied.