Debo Dong

As promised, my latest take on cognitive and behavioral flexibility in @NatRevNeurosci nature.com/articles/s4158…

Ever wondered how different systems in the brain work together to coordinate attention, cognition and awareness? If so, this is the thread for you...

Machine Learning concepts as animal GIFs A thread 🧵

After 3yrs of gestating as a PhD student, I’m introducing “Parallel Hippocampal-Parietal Circuits for Self- and Goal-oriented Processing”. My 1st paper out of my PhD is the result of 3yrs of failing better. Here to normalize that sometimes it takes a while.bit.ly/39AKbLF

After a long and interesting journey, our latest HMM paper found its home in @SciReports. Results show that transient neural states, identified through hidden Markov modelling of rsfMRI data, were linked to different patterns of thinking at rest. (1/5) nature.com/articles/s4159…

Updated draft, "Towards an information theoretical description of communication in brain networks". arxiv.org/abs/1911.02601. Improved null model to define communication regimes. Great work led by @Enri_amico , with @KausarJaffary @DuyDuongTran1 @uttara_tipnis @JarekHarezlak

Does #significance coincide with successful #prediction in #biomedicine? Our latest paper: cell.com/patterns/fullt… combining massive empirical data simulations and real-world clinical datasets. Joint work with @dngman @BertrandThirion Thread:👇🏽👇🏿👇 -viz powered by @matplotlib

Men are more likely than women to develop Parkinson’s disease, and tend to have more severe symptoms. Tremblay, Abbasi et al. show that patterns of neurodegeneration also differ between male and female patients. bit.ly/2GfAN3s

Great, highly relevant work comparing naturalistic stimuli & resting-fMRI The authors (rightfully) highlight reliability of movie-evoked brain states across subjects & sessions But what about the left part? Resting-state is a random mess of states 😬 nature.com/articles/s4146…

This should become an important resource for everybody interested in cross-species comparison: High-resolution structural, functional, & diffusion MRI from over >100 macaques & marmosets + invasive tract-tracing data + cell-type immunocytochemy arxiv.org/abs/2010.00308

Using dimensionality reduction techniques @mikio_aoi, @ValerioMante, and @jpillowtime disentangle the contributions of different task variables to neural population activity. rdcu.be/b79ji

Phenomenal work from our lab & collaborators led by @jchen_ML_Psy: Connectivity patterns of task-defined networks allow individual prediction of dimensional schizophrenia psychopathology & link to molecular architecture Short thread on the highlights ⤵️ biologicalpsychiatryjournal.com/article/S0006-…

Our paper on the performance of uniform shrinkage, lasso, ridge and Firth's logistic regression for prediction modeling is now in print TL;DR: penalization does not compensate for a too small sample size doi-org.proxy.library.uu.nl/10.1177/096228…

Lab’s latest out: "A whole-brain and cross-diagnostic perspective on functional brain network dysfunction". High connectome similarity with healthy groups for autism, ADHD & schizophrenia questions assumption of large brain system changes doi.org/10.1093/cercor… A 🧵

Multiscale communication in cortico-cortical networks | biorxiv.org/content/10.110… Led by @VinceBazz w/ @reindervosdwael @BorisBernhardt Which areas prefer to communicate locally, and which prefer to communicate globally? Details after the jump⤵️

It's out now doi.org/10.1016/j.neur…! Cross-species alignment based on the functional gradients using joint-embedding and revealed the evolutionary hierarchy.

For those that missed it until now: Check out the amazing YouTube channel featuring the @MGHMartinos Brain Map Seminar series ! 54 amazing talks covering brain imaging, cognitive neuroscience & modeling Happy to have provided a contribution, too: youtube.com/watch?v=9NZEPv…

Quite amazing work in "brain reading" Reconstruction of static faces presented to the subjects from visual activity as measured by fMRI, mainly relying on the ventral visual cortex @tyrell_turing @neuro_data biorxiv.org/content/10.110…

Network Neuroscience 2020, Vol. 4, No. 3, pp. 788–806 Timescales of spontaneous fMRI fluctuations relate to structural connectivity in the brain mitpressjournals.org/doi/full/10.11… by @bendfulcher @AFornito @LindenParkes et al

Latest lab work in @naturemethods. We demonstrate a method for characterizing timecourses in fMRI and exploit this to grapple with the effects of "draining veins". nature.com/articles/s4159…