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Created page with "'''Annual Goals:''' *Finish Brandon's study *RISE 1 application *Methohexital analysis '''Monthly Goals:''' *Meet w/ Nina *Think deeply about research directions and goals..."
'''Annual Goals:'''
*Finish Brandon's study
*RISE 1 application
*Methohexital analysis
'''Monthly Goals:'''
*Meet w/ Nina
*Think deeply about research directions and goals
*Literature review to refine research aims
*Figure out organizational system to be more productive with research time
== 9/22 ==
*Learned about [https://fooof-tools.github.io/fooof/auto_motivations/index.html FOOOF motivations].
**Aperiodic components of a signal will spread out their power in all frequencies, when doing FFT it can appear as if there is oscillatory activity when in fact there is none.
**Band analysis, including band power ratios, are rife with potential for misinterpretation unless you break out the aperiodic components
**Changes in the aperiodic exponent or offset can mimic changes in band power
*Read through the RISE application.
**Mentoring plan is the most important single component.
**Met with Norm Taylor to discuss timing and considerations for project directions and mentors, identify successful applicants.
*Met Coby
**From UCLA, now a 2nd year PhD student in Christian's lab, focusing on SWARM analysis.
**They are getting frontal EEG data from SEEG explants and correlating LFPs and single neuron activity with SO/SW data from frontal EEG.
**Implanted electrodes attract glia which adhere to the electrodes and make a local inflammatory response that increases impedance and reduces data quality.
*Met w/ Talmage
**BIS study that he is starting with Christian in the next few months. I should get on board.
**Respiration AI startup (as good as a PACU nurse at reminding post-op patients to breath). He wants me to be the clinical PI for the upcoming study.
**20 years ago he licensed some PK/PD software to GE but no one bought it. A Norwegian company tried the same thing, also without success. He is now trying to get it integrated into EPIC. Is it just a marketing problem that no one wants to buy it? They've shown that it changes how people deliver anesthesia (typically they use less, specifically opioid).
**He thinks the big thing that is lacking from Christian's research is volunteer studies.
*Initial assessment of feasibile/high-impact research ideas:
**Depression
***What is the disease burden of depression in the general surgical population?
***What is the incidence of post-operative depression in general surgical patients without pre-existing depression? What if they have a family or personal history of depression?
***Do ketamine, TIVA w/ propofol, TIVA w/ remimazolam, psychedelics, or burst suppression modulate the post-operative risk?
**CLAN
***When combined with SEEG electrodes or data from Parkinson's patients with deep-brain stimulators, can we resolve temporal and spatial activity of deep subcortical structures with ICA from frontal or full EEG? [https://pubmed.ncbi.nlm.nih.gov/28575667/ steerable non-invasive DBS]
***What are the EEG effects of benzos, opioids, precedex, and their respective reversal agents?
***What are the EEG effects of IV caffeine or methylphenidate? Do these cause emergence agitation?
***What is known about the EEG signature of methohexital?
**CO2
***Does permissive hypercapnia improve hemodynamic stability, deepen anesthesia, and speed recovery?
***Can we make a device or repurpose an existing ventilator to help accomplish that?
*High-impact, less feasible research ideas:
**Does TIVA prevent cancer recurrence? Could be feasible if we are able to mine the data from someone else's data set.
**Does general anesthesia lead to post-op ileus and constipation?
**Mechanisms of anesthesia. Is it dogma that anesthesia works by disrupting neuronal circuitry? Can I disprove this by anesthetizing weird organisms?
**Cancer vaccine. Can we make an mRNA vaccine that increases p53 copy number. Peto's paradox. Elephants.
*Low-impact, very feasible research ideas:
**SCD-FR
**Better late than never PONV
*Finish Brandon's study
*RISE 1 application
*Methohexital analysis
'''Monthly Goals:'''
*Meet w/ Nina
*Think deeply about research directions and goals
*Literature review to refine research aims
*Figure out organizational system to be more productive with research time
== 9/22 ==
*Learned about [https://fooof-tools.github.io/fooof/auto_motivations/index.html FOOOF motivations].
**Aperiodic components of a signal will spread out their power in all frequencies, when doing FFT it can appear as if there is oscillatory activity when in fact there is none.
**Band analysis, including band power ratios, are rife with potential for misinterpretation unless you break out the aperiodic components
**Changes in the aperiodic exponent or offset can mimic changes in band power
*Read through the RISE application.
**Mentoring plan is the most important single component.
**Met with Norm Taylor to discuss timing and considerations for project directions and mentors, identify successful applicants.
*Met Coby
**From UCLA, now a 2nd year PhD student in Christian's lab, focusing on SWARM analysis.
**They are getting frontal EEG data from SEEG explants and correlating LFPs and single neuron activity with SO/SW data from frontal EEG.
**Implanted electrodes attract glia which adhere to the electrodes and make a local inflammatory response that increases impedance and reduces data quality.
*Met w/ Talmage
**BIS study that he is starting with Christian in the next few months. I should get on board.
**Respiration AI startup (as good as a PACU nurse at reminding post-op patients to breath). He wants me to be the clinical PI for the upcoming study.
**20 years ago he licensed some PK/PD software to GE but no one bought it. A Norwegian company tried the same thing, also without success. He is now trying to get it integrated into EPIC. Is it just a marketing problem that no one wants to buy it? They've shown that it changes how people deliver anesthesia (typically they use less, specifically opioid).
**He thinks the big thing that is lacking from Christian's research is volunteer studies.
*Initial assessment of feasibile/high-impact research ideas:
**Depression
***What is the disease burden of depression in the general surgical population?
***What is the incidence of post-operative depression in general surgical patients without pre-existing depression? What if they have a family or personal history of depression?
***Do ketamine, TIVA w/ propofol, TIVA w/ remimazolam, psychedelics, or burst suppression modulate the post-operative risk?
**CLAN
***When combined with SEEG electrodes or data from Parkinson's patients with deep-brain stimulators, can we resolve temporal and spatial activity of deep subcortical structures with ICA from frontal or full EEG? [https://pubmed.ncbi.nlm.nih.gov/28575667/ steerable non-invasive DBS]
***What are the EEG effects of benzos, opioids, precedex, and their respective reversal agents?
***What are the EEG effects of IV caffeine or methylphenidate? Do these cause emergence agitation?
***What is known about the EEG signature of methohexital?
**CO2
***Does permissive hypercapnia improve hemodynamic stability, deepen anesthesia, and speed recovery?
***Can we make a device or repurpose an existing ventilator to help accomplish that?
*High-impact, less feasible research ideas:
**Does TIVA prevent cancer recurrence? Could be feasible if we are able to mine the data from someone else's data set.
**Does general anesthesia lead to post-op ileus and constipation?
**Mechanisms of anesthesia. Is it dogma that anesthesia works by disrupting neuronal circuitry? Can I disprove this by anesthetizing weird organisms?
**Cancer vaccine. Can we make an mRNA vaccine that increases p53 copy number. Peto's paradox. Elephants.
*Low-impact, very feasible research ideas:
**SCD-FR
**Better late than never PONV