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brain function monitor  (Sedline Inc)

 
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    Sedline Inc brain function monitor
    Brain Function Monitor, supplied by Sedline Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/function+from+brain+connectivity+toolbox/brain+function+monitor/us08821397-406-18-18
    Average 90 stars, based on 1 article reviews
    brain function monitor - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Evaluating oxygen reserve index-guided oxygenation for the prevention of postoperative delirium in elderly patients: a randomized controlled trial
    Article Snippet: In both groups, intraoperative neuro-monitoring was conducted with the SEDLine Brain Function Monitor.

    Article Title: Effects of TTP-PECS Block Under Opioid-Sparing General Anesthesia on Postoperative Analgesia and Early Recovery Quality in Patients Undergoing Modified Radical Mastectomy
    Article Snippet: Upon entering the operating room, we established intravenous access in the upper limbs, noninvasive blood pressure (NBP), SpO 2 and ECG were monitored, and they were connected to a Sedline brain function monitor.

    Article Title: The Repeatability of Pharyngeal Opening Pressure Under Drug-Induced Sleep Endoscopy.
    Article Snippet: PSI values were sampled once every 2 seconds which was the default for the Sedline Brain Function Monitor, and these were averaged across the duration of each CPAP run.

    Article Title: Remimazolam for simultaneous percutaneous mitral valve clip and percutaneous left atrial appendage closure in an elderly patient with impaired cardiac function: A case report
    Article Snippet: To prevent re‐sedation or delayed awakening, it is crucial to maintain appropriate dosing., During surgery, it is desirable to adjust and manage the dosage of remimazolam as needed using brain function monitors such as BIS or Sedline.

    Article Title: Relationship between preinduction electroencephalogram patterns and propofol sensitivity in adult patients.
    Article Snippet: In this study, we investigated whether preinduction EEG of the frontal area, as measured by the SedLine® brain function monitor, could be useful for determining the optimal propofol dose for the induction of general anesthesia in healthy adults.

    Article Title: Assessment of seizure duration and utility of using SedLine ® EEG tracing in veterans undergoing electroconvulsive therapy: a retrospective analysis
    Article Snippet: PSI data from the SedLine ® Brain Function Monitoring system data during different phases of treatment included the following: (1) baseline PSI (before anesthetic induction), (2) pre-ECT PSI (immediately before electrical stimulus delivery), (3) immediately after the end of neuronal depolarization (post-ECT) as determined by the mental health team ECT EEG machine, and (4) recovery PSI within approximately 10 min after leaving the ECT suite when clinically following any simple commands (eye opening in response to verbal stimulation).

    Article Title: Assessment of seizure duration and utility of using SedLine ® EEG tracing in veterans undergoing electroconvulsive therapy: a retrospective analysis
    Article Snippet: Our data provide evidence that the post-stimulus neuronal depolarization time measured by the SedLine ® brain function monitoring time is equivalent to the time assessed by the traditional ECT EEG machine.

    Activity Assay:

    Article Title: A novel electroencephalographic evaluation of noxious stimulation during isoflurane anesthesia in dogs
    Article Snippet: .. In this study, to determine the effects of nociception challenge on brain activity, we used the SedLine brain monitor system to approach the response and underlying pathways of processed EEG parameters (e.g., PSI and SEF) in noxious stimulation. ..



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    Image Search Results


    a Resting-state functional MRI pre-processing pipeline and time-series extraction from functional atlases. b Pearson correlation matrices. c Optimal local threshold estimation; the network edge density at which Q−Q rand is maximum. d Thresholded matrices by optimal density using local and global threshold network construction methods. e Louvain’s community and modular dissociation (MD) estimation, see also Supplementary Fig . f Modular variability (MV) using consensus community. g Group means MD; subcortical regions and cerebellum showed in all groups high MD while motor-sensory, frontal, temporal pole and occipital cortex show low MD. h Group mean MV; patterns of high and low MV were consistent across all groups. Motor-sensory, occipital, and temporal pole showed low MV while parietal, ventral frontal and insulo-opercular cortices showed high MV.

    Journal: Communications Biology

    Article Title: The functional brain favours segregated modular connectivity at old age unless affected by neurodegeneration

    doi: 10.1038/s42003-021-02497-0

    Figure Lengend Snippet: a Resting-state functional MRI pre-processing pipeline and time-series extraction from functional atlases. b Pearson correlation matrices. c Optimal local threshold estimation; the network edge density at which Q−Q rand is maximum. d Thresholded matrices by optimal density using local and global threshold network construction methods. e Louvain’s community and modular dissociation (MD) estimation, see also Supplementary Fig . f Modular variability (MV) using consensus community. g Group means MD; subcortical regions and cerebellum showed in all groups high MD while motor-sensory, frontal, temporal pole and occipital cortex show low MD. h Group mean MV; patterns of high and low MV were consistent across all groups. Motor-sensory, occipital, and temporal pole showed low MV while parietal, ventral frontal and insulo-opercular cortices showed high MV.

    Article Snippet: For this, the Hadamard product between the binarised matrix and the original weighted matrix was computed, and used for community structure and modularity statistic estimation using the Louvain’s algorithm function from the Brain Connectivity Toolbox (BCT) in Matlab (Mathworks Inc, R2017a).

    Techniques: Functional Assay, Extraction