Biology subjects

Sanders, R. D.

Publications and source records attributed to Sanders, R. D..

8 recordsLinked to original sources

bioRxiv2025

Dexmedetomidine produces more sleep-like brain activity compared to propofol

IntroductionDexmedetomidine is a selective 2-adrenergic agonist used as an anesthesia adjunct to produce a state of sleep-like sedation. However, how brain activity compares quantitatively during dexmedetomidine anesthesia to that during natural sleep, and thus just how "sleep-like" dexmedetomidine anesthesia is, remains unclear. Previously, we showed that the general anesthetic propofol is associated with changes in connectivity and cortical network structure comparable to those observed during sleep. Here, we compare the effects on brain activity of dexmedetomidine, propofol, and sleep quantitatively using intracranial encephalographic (iEEG) recordings in human research participants. MethodsiEEG recordings were obtained in 34 epilepsy patients being evaluated for potential seizure resection surgery. Band power and functional connectivity (alpha weighted phase lag index, gamma envelope correlations) and network entropy were measured in recordings during task-free ("resting state") periods just prior to surgery during anesthesia with either dexmedetomidine or propofol, and during overnight sleep. Anesthesia stage (wake, sedated, unresponsive) was determined using the Observers Assessment of Arousal and Sedation. Sleep was staged using standard polysomnography. ResultsAs expected, significant differences in delta power were observed during dexmedetomidine and propofol as well as during sleep. However, the magnitude of changes in delta power were smaller and regionally heterogeneous for propofol compared to dexmedetomidine and sleep. Functional connectivity changes were comparable between dexmedetomidine, propofol, and natural sleep. Significant changes in network entropy were observed for dexmedetomidine, propofol, and sleep, but changes were larger for propofol compared to dexmedetomidine and sleep. Quantitative comparisons between changes in delta power and network entropy suggest that unresponsiveness under dexmedetomidine produces a similar brain state to that observed during N2 sleep. ConclusionsWhile delta power, functional connectivity, and network entropy all showed changes during propofol, dexmedetomidine, and sleep, the magnitudes of these changes suggest that dexmedetomidine is more similar than propofol to sleep, specifically to N2 sleep.

neuroscience↗

bioRxiv2024

Traveling waves shape neural population dynamics enabling predictions and internal model updating

The brain generates predictions based on statistical regularities in our environment. However, it is unclear how predictions are optimized through iterative interactions with the environment. Because traveling waves (TWs) propagate across the cortex shaping neural excitability, they can carry information to serve predictive processing. Using human intracranial recordings, we show that anterior-to-posterior alpha TWs correlated with prediction strength. Learning about priors altered neural state space trajectories, and how much it altered correlated with trial-by-trial prediction strength. Learning involved mismatches between predictions and sensory evidence triggering alpha-phase resets in lateral temporal cortex, accompanied by stronger alpha phase-high gamma amplitude coupling and high-gamma power. The mismatch initiated posterior-to-anterior alpha TWs and change in the subsequent trials state space trajectory, facilitating model updating. Our findings suggest a vital role of alpha TWs carrying both predictions to sensory cortex and mismatch signals to frontal cortex for trial-by-trial fine-tuning of predictive models.

neuroscience↗

bioRxiv2023

Translating electrophysiological signatures of awareness into thalamocortical mechanisms by inverting systems-level computational models across arousal states

While consciousness never fades during wakefulness, there is a paradoxical coexistence of consciousness during dreaming states. Its also possible for sensory awareness to be either present or absent when awakened from seemingly-identical states of sedation and anaesthesia. Traditionally, these states have been characterised in terms of their electroencephalographic neural correlates, however, without clear underlying neurobiological mechanisms. To bridge this gap, we invert a validated neural mass model of the corticothalamic system using scalp EEG collected during nonlinear transitions in conscious experience and sensory awareness across varying depths of dexmedetomidine sedation. We found that a decline in conscious experience and sensory awareness with dexmedetomidine was associated with a decrease in the engagement of excitatory thalamocortical loop resonances, along with an increase in inhibitory intrathalamic loop gains. These findings shed light into the neural mechanisms of conscious experience and sensory awareness, and explain how it fades across arousal states, bridging the gap between the neural correlates of consciousness and its underlying systems-level thalamocortical mechanisms.

neuroscience↗

bioRxiv2021

Depth of sedation with dexmedetomidine modulates cortical excitability non-linearly

BackgroundCortical excitability changes across conscious states, being higher in unconsciousness compared to normal wakefulness. Anaesthesia offers controlled manipulation to investigate conscious processes and underlying brain dynamics. Among commonly used anaesthetic agents, dexmedetomidine (DEX) effects are not completely known. In this study, we investigated cortical excitability as a function of DEX sedation depth. MethodsTranscranial magnetic stimulation coupled with electroencephalography was recorded in 20 healthy subjects undergoing DEX sedation in four conditions (baseline, light sedation, deep sedation, recovery). Frontal and parietal cortices were stimulated using a neuronavigation system. Cortical excitability was inferred by slope, amplitude, positive and negative peak latencies of the first component (0-30 ms) of the TMS-evoked potential. Four Generalized Linear Mixed Models (GLMM) were used to test the effect of condition and brain region over cortical excitability. ResultsDexmedetomidine modulated amplitude (P<0.001), slope (P=0.0001) and positive peak (P=0.042), while the targeted brain region affected amplitude (P<0.001), slope (P<0.001), and negative peak (P=0.001). The interaction between dexmedetomidine and region had an effect over amplitude (P=0.004), and slope (P=0.009) such that cortical excitability was higher during all conditions where DEX was present as compared to the baseline. ConclusionsCortical excitability changes non-linearly as a function of the depth of DEX sedation, with a paradoxical non dose-dependent increase. The effect is region-specific, being present in the frontal but not in the parietal region. Future research should extend the current results with other anaesthetics to better understand the link between cortical excitability and depth of sedation.

neuroscience↗

bioRxiv2020

Electrophysiological signatures of acute systemic lipopolysaccharide: potential implications for delirium science

BackgroundNovel preventive therapies are needed for postoperative delirium, which especially affects aged patients. A mouse model is presented that captures inflammation-associated cortical slow wave activity (SWA) observed in patients, allowing exploration of the mechanistic role of prostaglandin-adenosine signaling. MethodsEEG and cortical cytokine measurements (interleukin 6 [IL-6], monocyte chemoattractant protein-1 [MCP-1]) were obtained from adult and aged mice. Behavior, SWA, and functional connectivity (alpha-band weighted phase lag index) were assayed before and after systemic administration of lipopolysaccharide (LPS) +/- piroxicam (cyclooxygenase inhibitor) or caffeine (adenosine receptor antagonist). To avoid confounds from inflammation-driven changes in movement, which alter SWA and connectivity, electrophysiological recordings were classified as occurring during quiescence or movement, and propensity score matching used to match distributions of movement magnitude between baseline and LPS. ResultsLPS produces increases in cortical cytokines and behavioral quiescence. In movement-matched data, LPS produces increases in SWA (likelihood-ratio test: {chi}2(4)=21.51, p=0.00057), but not connectivity ({chi}2(4)=6.39, p=0.17). Increases in SWA associate with IL6 (p<0.001) and MCP-1 (p=0.001) and are suppressed by piroxicam (p<0.001) and caffeine (p=0.046). Aged animals compared to adult show similar LPS-induced SWA during movement, but exaggerated cytokine response and increased SWA during quiescence. ConclusionsCytokine-SWA correlations during wakefulness are consistent with observations in patients with delirium. Absence of connectivity effects after accounting for movement changes suggests decreased connectivity in patients is a biomarker of hypoactivity. Exaggerated effects in quiescent aged animals are consistent with increased hypoactive delirium in older patients. Prostaglandin-adenosine signaling may link inflammation to neural changes and hence delirium.

neuroscience↗

bioRxiv2020

Receptors, circuits and neural dynamics for prediction

Learned associations between stimuli allow us to model the world and make predictions, crucial for efficient behavior; e.g., hearing a siren, we expect to see an ambulance and quickly make way. While there are theoretical and computational frameworks for prediction, the circuit and receptor-level mechanisms are unclear. Using high-density EEG, Bayesian modeling and machine learning, we show that inferred "causal" relationships between stimuli and frontal alpha activity account for reaction times (a proxy for predictions) on a trial-by-trial basis in an audio-visual delayed match-to-sample task which elicited predictions. Predictive beta feedback activated sensory representations in advance of predicted stimuli. Low-dose ketamine, a NMDA receptor blocker - but not the control drug dexmedetomidine - perturbed behavioral indices of predictions, their representation in higher-order cortex, feedback to posterior cortex and pre-activation of sensory templates in higher-order sensory cortex. This study suggests predictions depend on alpha activity in higher-order cortex, beta feedback and NMDA receptors, and ketamine blocks access to learned predictive information.

neuroscience↗

bioRxiv2018

Derivation of a simple postoperative delirium incidence and severity prediction model

BackgroundDelirium is an important postoperative complication, yet a simple and effective delirium prediction model remains elusive. We hypothesized that the combination of the National Surgical Quality Improvement Program (NSQIP) risk calculator for serious complications (NSQIP-SC) or risk of death (NSQIP-D), and cognitive tests of executive function (Trail Making Test A and B [TMTA, TMTB]), could provide a parsimonious model to predict postoperative delirium incidence or severity.\n\nMethodsData were collected from 100 adults ([≥]65yo) undergoing major non-cardiac surgery. In addition to NSQIP-SC, NSQIP-D, TMTA and TMTB, we collected participant age, sex, ASA score, tobacco use, type of surgery, depression, Framingham risk score, and preoperative blood pressure. Delirium was diagnosed with the Confusion Assessment Method (CAM), and the Delirium Rating Scale-R-98 (DRS) was used to assess symptom severity. LASSO and Best Subsets logistic and linear regression were employed in line with TRIPOD guidelines.\n\nResultsThree participants were excluded due to intraoperative deaths (2) and alcohol withdrawal (1). Ninety-seven participants with a mean age of 71.68{+/-}4.55, 55% male (31/97 CAM+, 32%) and a mean Peak DRS of 21.5{+/-}6.40 were analyzed. Of the variables included, only NSQIP-SC and TMTB were identified to be predictors of postoperative delirium incidence (p<0.001, AUROC 0.81, 95% CI: 0.72, 0.90) and severity (p<0.001, Adj. R2: 0.30).\n\nConclusionsIn this cohort, preoperative NSQIP-SC and TMTB were identified as predictors of postoperative delirium incidence and severity. Future studies should verify whether this two-factor model could be used for accurate delirium prediction.

clinical trials↗

bioRxiv2017

Propofol-Induced Unresponsiveness is Associated with Impaired Feedforward Connectivity in the Cortical Hierarchy

BackgroundImpaired consciousness has been associated with impaired cortical signal propagation following transcranial magnetic stimulation (TMS). Herein we hypothesized that the reduced current propagation under propofol-induced unresponsiveness is associated with changes in both feedforward and feedback connectivity across the cortical hierarchy.\n\nMethodsEight subjects underwent left occipital TMS coupled with high-density electroencephalograph (EEG) recordings during wakefulness and propofol-induced unconsciousness. Spectral analysis was applied to responses recorded from sensors overlying six hierarchical cortical sources involved in visual processing. Dynamic causal modelling (DCM) of evoked and induced source-space responses was used to investigate propofols effects on connectivity between regions.\n\nResultsPropofol produced a wideband reduction in evoked power following TMS in five out of six electrodes. Bayesian Model Selection supported a DCM with hierarchical feedforward and feedback connections to best fit the data. DCM of induced responses revealed that the primary effect of propofol was impaired feedforward responses in cross frequency theta/alpha-gamma coupling and within frequency theta coupling (F contrast, Family Wise Error corrected p<0.05). An exploratory analysis (thresholded at uncorrected p<0.001) also suggested that propofol impaired feedforward and feedback beta band coupling. Posthoc analyses showed impairments in all feedforward connections and one feedback connection from parietal to occipital cortex. DCM of the evoked response potential showed impaired feedforward connectivity between left sided occipital and parietal cortex (T contrast p=0.004, Bonferroni corrected).\n\nConclusionsOur data suggest that propofol-induced loss of consciousness is associated with reduced evoked power and impaired hierarchical feedforward connectivity following occipital TMS.

neuroscience↗