Roberto D Pascual-Marqui

179 Followers
123 Following
19 Posts
The KEY Institute for Brain-Mind Research, University of Zurich
[https://www.uzh.ch/keyinst]
[https://scholar.google.com/citations?user=DDqjOkUAAAAJ]
#Neuroscience #EEG #MEG
Functional localization
Intracortical functional connectivity
low resolution electromagnetic tomography
#LORETA
@PascualMarqui
https://neuromatch.social/@PascualMarqui
(old: https://fosstodon.org/@rdpmarqui)
(soon to delete: https://twitter.com/Pascual_Marqui)

Pascual-Marqui, Kochi, Kinoshita: Lagged coherence: explicit and testable definition; arXiv 2023-11-24; https://doi.org/10.48550/arXiv.2311.14356

Measures of association between cortical regions based on activity signals provide useful information for studying brain functional connectivity. Difficulties occur with signals of electric neuronal activity, where an observed signal is a mixture, i.e. an instantaneous weighted average of the true, unobserved signals from all regions, due to volume conduction and low spatial resolution. This is why measures of lagged association are of interest, since at least theoretically, “lagged association” is of physiological origin. In contrast, the actual physiological instantaneous zero-lag association is masked and confounded by the mixing artifact. A minimum requirement for a measure of lagged association is that it must not tend to zero with an increase of strength of true instantaneous physiological association. Such biased measures cannot tell apart if a change in its value is due to a change in lagged or a change in instantaneous association. An explicit testable definition for frequency domain lagged connectivity between two multivariate time series is proposed. It is endowed with two important properties: it is invariant to non-singular linear transformations of each vector time series separately, and it is invariant to instantaneous association. As a sanity check, in the case of two univariate time series, the new definition leads back to the bivariate lagged coherence of 2007 (eqs 25 and 26 in https://doi.org/10.48550/arXiv.0706.1776).

Lagged coherence: explicit and testable definition

Measures of association between cortical regions based on activity signals provide useful information for studying brain functional connectivity. Difficulties occur with signals of electric neuronal activity, where an observed signal is a mixture, i.e. an instantaneous weighted average of the true, unobserved signals from all regions, due to volume conduction and low spatial resolution. This is why measures of lagged association are of interest, since at least theoretically, "lagged association" is of physiological origin. In contrast, the actual physiological instantaneous zero-lag association is masked and confounded by the mixing artifact. A minimum requirement for a measure of lagged association is that it must not tend to zero with an increase of strength of true instantaneous physiological association. Such biased measures cannot tell apart if a change in its value is due to a change in lagged or a change in instantaneous association. An explicit testable definition for frequency domain lagged connectivity between two multivariate time series is proposed. It is endowed with two important properties: it is invariant to non-singular linear transformations of each vector time series separately, and it is invariant to instantaneous association. As a first sanity check: in the case of two univariate time series, the new definition leads back to the bivariate lagged coherence of 2007 (eqs 25 and 26 in https://doi.org/10.48550/arXiv.0706.1776). As a second stronger sanity check: in the case of a univariate and multivariate vector time series, the new measure presented here leads back to the original multivariate lagged coherence in equation 31 of the same 2007 publication (which trivially includes the bivariate case).

arXiv.org
Commentary on Pang et al. (2023) Nature
Joshua Faskowitz, Daniel Moyer, Daniel Handwerker, Javier Gonzalez-Castillo, Peter Bandettini, Saad Jbabdi, Richard Betzel
bioRxiv 2023.07.20.549785; doi: https://doi.org/10.1101/2023.07.20.549785

Nature Neuroscience

Functional brain networks reflect spatial and temporal autocorrelation
https://www.nature.com/articles/s41593-023-01299-3

Functional brain networks reflect spatial and temporal autocorrelation - Nature Neuroscience

Individual variation in fMRI-derived brain networks is reproduced in a model using only the smoothness (autocorrelation) of the fMRI time series. Smoothness has implication for aging and can be causally manipulated by psychedelic serotonergic drugs.

Nature
I have a feeling I'm about to get a lot of activity today
I'll be giving the Perception Lecture at ECVP in Cyprus this year! Happy to see many friends there! https://cyprusconferences.org/ecvp2023/
ECVP | 2023

RT @JAMANeuro
Study indicates that it is possible to record neuronal signals from a blood vessel in the brain, and the favorable safety profile of this approach could promote wider and more rapid translation of brain-computer interface to people with paralysis. https://ja.ma/3Fg85eo
Assessment of Safety of a Fully Implanted Endovascular Brain-Computer Interface for Severe Paralysis in 4 Patients

This case series assesses the safety of an endovascular brain-computer interface and feasibility of using the system to control a computer by thought.

Dissociation between phase and power correlation networks in the human brain is driven by co-occurrent bursts
https://www.nature.com/articles/s42003-023-04648-x
Dissociation between phase and power correlation networks in the human brain is driven by co-occurrent bursts - Communications Biology

Mathematical analysis of empirical magnetoencephalography data in combination with biophysical simulations shed light on the complementary nature of power correlation networks to phase coupling networks in the human brain.

Nature

María Melcón, Enrique Stern, Dominique Kessel, Lydia Arana, Claudia Poch, Pablo Campo, Almudena Capilla:
Perception of near-threshold visual stimuli is influenced by pre-stimulus alpha-band amplitude but not by alpha phase (2023-03-14)
bioRxiv 2023.03.14.532551; doi: https://doi.org/10.1101/2023.03.14.532551

"...Our results show a clear effect of pre-stimulus alpha amplitude on conscious perception, but only when alpha fluctuated spontaneously and was not modulated by attention, supporting the notion that alpha-band power indexes neural excitability. In contrast, we did not find any evidence that pre-stimulus alpha phase influences the perceptual outcome, not even when differentiating between low and high amplitude trials. Furthermore, Bayesian analysis provided moderate evidence in favor of the absence of phase effects. Taken together, our results challenge the central theoretical predictions of the pulsed-inhibition framework, at least for the particular experimental conditions used here."

New theory!

Cytoelectric Coupling: Electric fields sculpt neural activity and “tune” the brain’s infrastructure.
https://psyarxiv.com/jtng9/

We propose and present converging evidence for the Cytoelectric Coupling Hypothesis: Electric fields generated by neurons are causal down to the level of the cytoskeleton.

I get so tired of academic publishing. I am trying to get something peer reviewed ( https://www.biorxiv.org/content/10.1101/807693v2 ) that I spent a huge amount of time writing and typesetting to make readable and accessible without all the dogshit we do to papers, like hiding away all the detail in supplements that you have to flip back and forth from to understand anyway. That means that the document ends up being like 45 pages, but that's because the text is 2/3 width with 1/3 for margin figures and margin notes, lots of whitespace, about 100 diagrams, figures, pictures, etc. interwoven with the text to support the reader!

If I render it in the typical reader-hostile way, remove all the parts where I'm trying to make it accessible to nonprogrammers, remove all context that informs the state of prior art and the motivation for the work, and remove all the figures except the ones plotting data it is normal paper length.

I can't get it reviewed! It's "too long" and it's a "user guide, not a paper." So now I have to chop it back up, shoehorn it into typical paper format, make it worse to read and harder to understand. That, or I guess I could do the usual perfunctory 5 page code paper that just says "we made a package to do experiments, here it is doing experiments" without any effort to contextualize it or describe how and why it works that way.

Is this really how we want it to work? Only things that hew exactly to the traditional style are allowed to exist, if you try and experiment with new document forms you're just wasting your time, the only thing that matters is that it "looks like science."