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whatscooking | 2 years ago

If you took your high school and college education even somewhat seriously, you would have already learned how an action potential travels through a neuron, and you’d have a good grasp of science fundamentals to read any research paper. I learned it in my high school biology class along with a host of other things. Also, who says your so called “experts” know those details either? I’ve met a physician (recent new grad) had no idea what mitosis was, something I’ve known since I was like 12 and I develop software for a living. We’re supposed to trust what these people say? Nah

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blackbear_|2 years ago

Got it: neuroscientists don't know about action potentials, and high school education is enough to appraise any research paper.

Between one Jira issue and the next, try to read some actual neuroscience preprints and come up with a few reasons why that piece of research is good, and a few why it is bad.

Take this one [1], for example (Cerebrovascular disease drives Alzheimer plasma biomarker concentrations in adults with Down syndrome):

> Main Outcomes and Measures: We examined the bivariate relationships of WMH, Aβ42/Aβ40, p-tau217, and GFAP with age-residualized NfL across AD diagnostic groups.

Are these biomarkers specific enough? Did they miss any? Why did they limit the investigation to bivariate relationships?

> We [...] examined whether 1) GFAP mediates the relationship between WMH volume and p-tau217 concentration, 2) whether p-tau217 concentration mediates the relationship between WMH volume and NfL concentration, and 3) whether p-tau217 concentration mediates the relationship between GFAP and NfL concentration.

Why did they test these three hypotheses? Did they miss anything interesting? Why did they choose that specific method for mediation analysis? What limitations does it have? Are there alternatives?

> Two specific percentile thresholds were computed: [...]. These thresholds initialized a Gaussian mixture model (GMM) and expectation-maximization algorithm within the white matter segment of the FLAIR images, using two components to represent hyperintense and non-hyperintense voxels.

What do you think of their method to quantify white matter hyper-intensity from the MRI scans? What percentiles did they use, and how sensitive is the analysis to these choices? Is a gaussian mixture model appropriate?

If you were a peer reviewer, would you think that this paper is ready to be published? What feedback would you give to the authors? What is the significance of these result, and what future research do they support?

See you in a one day or two max, cowboy.

[1] https://www.medrxiv.org/content/10.1101/2023.11.28.23298693v...

whatscooking|2 years ago

Big words don't scare me. If I cared about research related to people with Down Syndrome, then I’d read it and understand it thoroughly, but I don’t. Critical thinking skills are largely innate, it doesn’t matter if you have a PhD or high school degree. Credentials say nothing about your intellectual curiosity or your motivation to learn new things

https://www.youtube.com/watch?v=MkqQIY7J0fQ