david 为 zhou

Testing circuit-level theories of consciousness in humans doi.org/10.1016/j.tics… #neuroscience

It's time to move beyond abstract debates and build a mechanistic systems neuroscience that bridges circuits to #consciousness. Thanks to my co-authors, especially Andy Dykstra, for leading this effort!

The same circuit principles apply across disorders of consciousness, dementia, and psychiatric conditions. These aren't separate disorders but variations in how circuit disruptions manifest as symptoms in conscious experience.

It's a privilege to be part of this new review in Trends in Cognitive Sciences @CellPressNews: Testing circuit-level theories of consciousness with modern neuroimaging and biophysical modeling 🧵 cell.com/trends/cogniti…

The BRAIN Initiative has been an engine of innovation but is now fighting for its survival. Here we discuss why BRAIN is special and why we must all fight for it now nature.com/articles/s4159… @TheHongLab @DrZoePhD @bjmarlin @doristsao @moriel_z @HongkuiZeng XiaokeChen ZivWilliams

anyone interested in working on analysis of *directed* graphs of whole brain networks (at the region-to-region level, i.e. high SNR fMRI data in mice)? e.g. making predictions using network control theory & testing them? we're hiring. ping me at hakwan@gmail.com

If you are at #SPR2024 @TheRealSPR and enjoy thinking about circuit mechanisms of EEG, consider checking out Symposium VIII.4 on Sat. - I’ll be presenting @HNNsolver microcircuit models of the stop-signal frontocentral ERP (alongside prelim beta event modeling, as a treat)! 🛑🧠

Fantastic, authoritative & comprehensive ‘roadmap’ article out in @NatRevNeurosci by Segobin et al. about in vivo segmentation of the thalamus. nature.com/articles/s4158…

Alpha coherence is a network signature of cognitive recovery from disorders of consciousness medrxiv.org/content/10.110… #neuroscience

Here's a 🧵on our latest preprint! Detailed neural models enable novel neuroscience discoveries and many models are now openly distributed. Below is an example of our modeling software @HNNsolver for interpreting cell/circuit elements underlying M/EEG🧠 biorxiv.org/content/10.110…

Here, we studied how MEG oscillatory slowing could be characterized by transient spectral event features, in a population of mild cognitive impairment (MCI) patients who later converted to AD (CONV), compared to those who do not converted to AD (NOCONV).

@dngman Link on previous tweet is bad. Fixed here academic.oup.com/brain/article/…

In 2018, @dngman et al showed that alpha activity measures are among the most important EEG features in classification of disorders of consciousness compared to non-spectral measures such as ERPs, connectivity, and info theory. Summarized by Sokoliuk et al academic-oup-com.revproxy.brown.edu/brain/article/…

I just posted a major piece of my graduate research, where we used global coherence (previously used with EEG recordings of general anesthesia) to characterize coherent networks of alpha oscillations in disorders of consciousness medrxiv.org/content/10.110…

@ehsan_eqlimi See this as an example of this type of method elifesciences.org/articles/97107

@ehsan_eqlimi I actually believe they shouldn’t be separated, but rather regarded as features related to identifiable neurophysiological components defined by their network mechanisms. In the future, we need to use methods to identify spatial structure and peak frequency *at the same time*.

While I’m not a consciousness theorist, I welcome all discussions about the “posterior hot zone” and IIT. It’s something we wondered about…

And special thanks too to my advisors and colleagues who taught me more about this technique and in so much detail @PurdonLab @emilyps14

(Part of the backstory: this whole study was initiated (as so many are) by an almost offhand comment that my advisor Emery Brown made about global coherence never having been explored in this patient population. Glad we went down this road!)