Debo Dong

Ph.D candidate in Center of information medicine in UESTC
Visiting student in FZ Jülich-INM7
Neuroscience and Psychiatry research

[Lucina Uddin @LucinaUddin]

As promised, my latest take on cognitive and behavioral flexibility in @NatRevNeurosci https://t.co/PudwPRgrBz

[Mac Shine @jmacshine]

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

[Christoph Molnar 🦋 christophmolnar.bsky.social @ChristophMolnar]

Machine Learning concepts as animal GIFs

A thread 🧵

[Annie Zheng @itsyungzheng]

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.https://t.co/WtxAjZP46Q

[Theodoros Karapanagiotidis @tkarap]

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) https://t.co/PQ7pVuIOgw

[Joaquín Goñi @jgonicor]

Updated draft, "Towards an information theoretical description of communication in brain networks". https://t.co/WpWkx3pjFV. Improved null model to define communication regimes. Great work led by @Enri_amico , with @KausarJaffary @DuyDuongTran1 @uttara_tipnis @JarekHarezlak

[Danilo Bzdok @danilobzdok]

Does #significance coincide with successful #prediction in #biomedicine? Our latest paper:

https://t.co/6m95ORldB9

combining massive empirical data simulations and real-world clinical datasets. Joint work with @dngman @BertrandThirion
Thread:👇🏽👇🏿👇 -viz powered by @matplotlib

[Brain @Brain1878]

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. https://t.co/iqyM18HkJq

[Simon Eickhoff @INM7_ISN]

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 😬

https://t.co/hy6dPhKZ76

[Simon Eickhoff @INM7_ISN]

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

https://t.co/gHFNQTbfea

[Nature Neuroscience @NatureNeuro]

Using dimensionality reduction techniques @mikio_aoi, @ValerioMante, and @jpillowtime disentangle the contributions of different task variables to neural population activity. https://t.co/CT3PcawW9u

[Simon Eickhoff @INM7_ISN]

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 ⤵️

https://t.co/HycCnuKTIp

[Maarten van Smeden @MaartenvSmeden]

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

https://t.co/8ufiwTIz7K

[Michael W. Cole @TheColeLab]

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 https://t.co/OSwHdDvsgd A 🧵

[Bratislav Misic @misicbata]

Multiscale communication in cortico-cortical networks | https://t.co/qInL3J56GU

Led by @VinceBazz w/ @reindervosdwael @BorisBernhardt

Which areas prefer to communicate locally, and which prefer to communicate globally? Details after the jump⤵️

[Ting Xu @TingsterX]

It's out now https://t.co/vGyt2YdQQw! Cross-species alignment based on the functional gradients using joint-embedding and revealed the evolutionary hierarchy.

[Simon Eickhoff @INM7_ISN]

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:
https://t.co/VgOeu0nQv1

[Simon Eickhoff @INM7_ISN]

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

https://t.co/NnOdTRtFsX

[Network Neuroscience @netneurosci]

Network Neuroscience 2020, Vol. 4, No. 3, pp. 788–806

Timescales of spontaneous fMRI fluctuations relate to structural connectivity in the brain

https://t.co/I3KuTy7WBj

by @bendfulcher @AFornito @LindenParkes et al

[cvnlab @cvnlab]

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". https://t.co/6qdrlsp6Ng