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in the field of brain rhythms, one of the rock-solid empirical findings is that frequency increases across development, for alpha and mu rhythms.
— Natalie Schaworonkow (@nschawor) November 22, 2023
in this new 〰️preprint〰️, we also look at waveform shape across development & neurodevelopmental disorders: https://t.co/osCzrClCld pic.twitter.com/J8pfp5h1Dr
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the whole lab has pretty diverse backgrounds. so in order to establish some common ground, we decided to read a book in journal club earlier this year. we picked this one, “slim” in the title was also a decision factor 🙂 & I liked that it featured a bunch of very recent studies.
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you want to extract instantaneous phase of a signal, the textbooks say to narrowband filter before computing the analytic signal. but why?
— Natalie Schaworonkow (@nschawor) September 30, 2022
using a broadband signal, the resulting phase corresponds to the circular mean of the analytic signals of the constituents (here: 🔴=🟢+🔵). pic.twitter.com/uiK1t6q0kN
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one reason why I think it's always good to see original spectra before running any kind of fancy analysis: it's quite easy to create oscillations magically out of noise. for instance, in the below demo by grouping trials (which contained only 1/f-activity) by frequency content. pic.twitter.com/50aatLCBz2
— Natalie Schaworonkow (@nschawor) September 22, 2022
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IKEA shopping for neuroscientists – lamp ISKÄRNA pic.twitter.com/MG8egSZws6
— Natalie Schaworonkow (@nschawor) November 17, 2022
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when recording magnetoencephalography signals, it's of interest where in the brain the activity comes from. in these recordings, participants can move their head with respect to the sensors. this can affect sensor activity recorded for a specific source, adding uncertainty. pic.twitter.com/Lmn88kU6sw
— Natalie Schaworonkow (@nschawor) September 20, 2022
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if you combine two rhythms, what determines the resulting modulated signal? one aspect is the difference between the two frequencies, resulting in two spectral peaks left and right from the center frequency. pic.twitter.com/XrXoVb9ZlU
— Natalie Schaworonkow (@nschawor) July 28, 2022
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learning how to 3D print! this is a Purkinje neuron from a rat cerebellum. pic.twitter.com/aMVpYov70x
— Natalie Schaworonkow (@nschawor) April 1, 2022
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how could one arrive at a traveling wave signal with EEG? take 1 occipital & 1 sensorimotor alpha rhythm. the resulting EEG signal will have varying peak times along the posterior-anterior direction. apparent wave direction will depend on phase shift between rhythms. pic.twitter.com/DTYMBPJI35
— Natalie Schaworonkow (@nschawor) March 25, 2022
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there are different models of how the brain responds to rhythmic input, 1) by adjusting an intrinsic oscillator or 2) by a series of evoked responses. adjusting the input rate, the 2 models have different properties, exhibiting a constant or variable phase shift to the input. pic.twitter.com/Elw9qlxmP0
— Natalie Schaworonkow (@nschawor) February 14, 2022
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simulated propagating activity waves over a smooth cortical surface vs. over a brain with pronounced gyri and sulci. pic.twitter.com/Z4SJG4HzFh
— Natalie Schaworonkow (@nschawor) January 25, 2022
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ordered some MEG/EEG books for the fledgling lab library! any other recommendations?
