Tomko SettgastApr 1, 2023

Hello everybody!

My first conference paper about the correlation between neurophysiological measures of consciousness and BCI performance in a locked-in patient is out.
You can find it here: https://doi.org/10.1109/BCI57258.2023.10078703
I'm happy to discuss it :)

#newneuropaper #newpaper #neuroscience

Correlation between Neurophysiological Measures of Consciousness and BCI Performance in a Locked-in Patient

This exploratory study searched for systematic correlations between measures of consciousness in resting-state EEG and the performances reached in subsequently performed P300-based BCI tasks. We opted for measures of consciousness (LZC & power-law exponent) which are reflective for two different properties of brain dynamics, i.e., the complexity and criticality of neural signals. To unravel systematic relationships, we performed correlation analyses on a small, clinical dataset from a locked-in ALS-patient and on the publicly accessible dataset from Won et al. [1] containing data from 55 healthy participants. We detected opposing correlation patterns for the two samples. Whereas increased brain criticality and complexity seemed to be related to higher performance in the healthy participants, strong correlations between both our measures of consciousness and BCI performance in the ALSpatient indicate that decreased brain criticality and decreased brain complexity seemed to be advantageous to reach higher BCI performance in ALS-patients. We interpret this pattern regarding the known increases in functional connectivity in ALS-patients and put up for discussion if the increased functional connectivity with simultaneously decreasing structural connectivity in ALS-patients induces a brain dynamic of higher or even super-criticality, which is disadvantageous for information processing. In this case the brain criticality must be reduced to reenter a range of criticality in brain dynamics to facilitate the performance of tasks in need of a high amount of information processing – a pattern which we observed here.

Jo EtzelFeb 17, 2023

A methods paper of mine is now at https://doi.org/10.3389/fnimg.2023.1070274 . This little #NewNeuroPaper demonstrates human task #fMRI quality control, as part of the FMRI Open QC Project (which I hope to discuss at #OHBM and elsewhere as it wraps up).

Its supplemental (https://doi.org/10.17605/OSF.IO/HT543) may be of interest to #rstats folks, particularly if looking for examples of #baseR #knitr #graphics and/or scripts aiming to minimize dependencies and maximize long-term usability.

Efficient evaluation of the Open QC task fMRI dataset

This article is an evaluation of the task dataset as part of the Demonstrating Quality Control (QC) Procedures in fMRI (FMRI Open QC Project) methodological research topic. The quality of both the task and fMRI aspects of the dataset are summarized in concise reports created with R, AFNI, and knitr. The reports and underlying tests are designed to highlight potential issues, are pdf files for easy archiving, and require relatively little experience to use and adapt. This article is accompanied by both the compiled reports and the source code and explanation necessary to use them.

Frontiers
Leon LotterJan 24, 2023

Hot off the press! 🔥​
https://doi.org/10.1016/j.neubiorev.2023.105042

We performed a meta-analysis of neuroimaging studies looking at interpersonal neural synchronization (INS) and contextualized the results using diverse public databases to develop new hypotheses on physiological processes potentially involved in INS.

What is he talking about, you ask? See below ⏬​

1/9

#NewPaper #PaperThread #NeuroPaper #NeuroPaperThread #NewNeuroPaper #NeuroScience #Neuro #Psych #Psychiatry #Psychology #Cognition #Brain #Communication #Science #Research #DataViz #DataScience
@neuroscience @neuro @cognition @fmri @phdstudents @academicchatter

Jonathan PeelleJan 15, 2023

FIRMM software provides real-time and summary feedback about motion during #fMRI. Although this can reduce motion during resting state studies, what about task studies?

Real-time feedback reduces participant motion during task-based fMRI

https://doi.org/10.1101/2023.01.12.523791

We pseudorandomly assigned participants to receive motion feedback, or not, during an fMRI study of spoken word recognition. We found feedback associated with modest-but-significant reductions in motion (framewise displacement), particularly for high-motion frames. For some studies, it could be that giving participants feedback about their motion will improve data quality.

#NewNeuroPaper #NewPaperNeuro @fmri

Jonathan PeelleJan 12, 2023

Happy to share that this paper from Loretta Norton, Adrian Owen, and colleagues—which I had a small role in—is now out! (1/)

In this paper, we used #fMRI to assess the cognitive functions of people with acute disorders of consciousness, such as coma (following up on a mountain of prior work in chronic disorders of consciousness, much from Adrian's lab).

Functional Neuroimaging as an Assessment Tool in Critically Ill Patients

https://onlinelibrary.wiley.com/doi/full/10.1002/ana.26530

#NewPaper #NewNeuroPaper #NewPaperNeuro @fmri

Show threadLeon LotterJan 8, 2023

@NicoleCRust @kendmiller

I’d be in on #NeuroPaperThread and #NeuroNewPaper. Although I’d prefer #NewNeuroPaper bc grammar 😋.

And I am not sure how much sense it makes to let a single field „claim“ a very general tag such as #PaperThread. It would be more elegant to establish a convention for all fields, i.e., #PaperThread for field-independent use, #MLPaperThread or #AIPaperThread for the Sigmoidians. Sorry folks 👀

Show threadLeon LotterJan 8, 2023

(I realize that some of these suggestions would best be used simulatenously, e.g., #newPaper and #preprint have obviously different content. What I am searching for is a common tag for *threads* explaining research articles, not only posts announcing a new publication 🙂.
I had to drop one tag bc of the 5-option limit in polls, and I went for #mastoPrint as it was my own suggestion.)

Some further thoughts:
One could combine these tags in a standardized way with research field names, e.g. #newNeuroPaper, #neuroPreprint, or #neuroPaperThread.
Also, please remember to use #camelCase or #CamelCase notation in these tags for screenreader accessibility!

Tagging some people who responded to my first post (sorry for bothering you!):
@mwt @toddhorowitz @achterbrain @PessoaBrain @elduvelle @Brendanjones @gdiak @EricLawton @annettamallon @UlrikeHahn @ryneches @x1l3f @nyates314 @bsweber @ArneBab @tfardet @emergentnexus @DrAnneCarpenter @f @harcel @MarkHanson @Iris