Donggyu kim

And the winner is ......

Benchmarking resting state fMRI connectivity pipelines for classification: Robust accuracy despite processing variability in cross-site eye state prediction | bioRxiv www.biorxiv.org/content/10.1...

Dynamic functional connectivity is likely to become one of the major future directions in functional connectome research....

Identifying brain functional subtypes and corresponding task performance profiles in autism spectrum disorder - Molecular Psychiatry Molecular Psychiatry - Identifying brain functional subtypes and corresponding task performance profiles in autism spectrum disorder

Identifying brain functional subtypes and corresponding task performance profiles in autism spectrum disorder | Molecular Psychiatry www.nature.com/articles/s41...

Frontiers | GenCPM: a toolbox for generalized connectome-based predictive modeling Understanding brain—behavior relationships and predicting cognitive and clinical outcomes from neuromarkers are central tasks in neuroscience. Connectome-bas...

Easy to use CPM (connectome based predictive modeling)

www.frontiersin.org/journals/neu...

github.com/BXU69/GenCPM

New paper in Imaging Neuroscience by Juan F. Quinones, Andrea Hildebrandt, et al:

Audiovisual integration and whole-brain networks in preterm and full-term neonates: A two-layer multiplex network perspective on structural and functional connectivity

doi.org/10.1162/IMAG...

New paper in Imaging Neuroscience by Pratik Jain, Anil K. Sao, and Bharat Biswal:

Single scan, subject-specific component extraction in dynamic functional connectivity using dictionary learning

doi.org/10.1162/IMAG...

👇

New paper in Imaging Neuroscience by Ammar I. Marvi, Nancy G. Kanwisher, et al:

An efficient multifunction fMRI localizer for high-level visual, auditory, and cognitive regions in humans

doi.org/10.1162/IMAG...

*Subcortical regions and consciousness*

Looks like an amazing use of 7T scanners
(and generator of 7T envy)
By Morgan Cambareri, Andreas Horn, Laura Lewis, Jian Li, Brian Edlow
doi.org/10.1002/hbm....
#neuroskyence

Low-dimensional controllability of brain networks Author summary Identifying control nodes in complex networks is essential for understanding and influencing biological systems. However, existing network control methods often fall short when the numb...

Had a great time presenting our work on the curse of dimensionality in network controllability @bernsteinneuro.bsky.social

Thanks samirsuweis.bsky.social and organizers for setting up this special event and for the smooth organization.

Low-dimensional controllability of brain networks t.ly/qosuT

Transforming psychiatry with computational and brain-based methods - Nature Computational Science Integrating computational methods with brain-based data presents a path to precision psychiatry by capturing individual neurobiological variation, improving diagnosis, prognosis, and personalized care. This Viewpoint highlights advances in normative and foundation models, the importance of clinically grounded principles, and the role of robust measurement and interpretability in progressing mental health care.

Finally, authors discuss, in a Viewpoint, how normative modeling and foundation models in neuroimaging are enabling more personalized, interpretable, and scalable approaches to mental health care. #mentalhealthresearch #Psychiatry #compneuro

➡️ nature.com/articles/s43...
🔓 rdcu.be/eKp6K

🧵(7/8)

Transdiagnostic connectome-based predictive modeling of many behavioral phenotypes reveals brain network mediators of clinical-cognitive relationships | bioRxiv www.biorxiv.org/content/10.1...

Polygenic and developmental profiles of autism differ by age at diagnosis - Nature A study of several longitudinal birth cohorts and cross-sectional cohorts finds only moderate overlap in genetic variants between autism that is diagnosed earlier and that diagnosed later, so they may represent aetiologically different conditions.

This was a fantastic collaboration with lots of people including @hilarycmartin.bsky.social @jakobgrove.bsky.social, Experts by Experience, and several others who I can't seem to find on this app.

Article: www.nature.com/articles/s41...

Task and resting state fMRI modelling of brain-behavior relationships in developmental cohorts Functional magnetic resonance imaging (fMRI) data are often used to inform individual differences in cognitive, behavioral, and psychiatric phenotypes. These so-called “brain-behavior” association stu...

In this review, @lucinauddin.bsky.social and Hugh Garavan examine how task and resting-state fMRI can reveal brain-behavior relationships in youth, highlighting current controversies and challenges, outlining solutions, and proposing future directions in developmental neuroscience research.

Longitudinal associations of structural and functional brain connectivity with dimensions of psychopathology in adolescence Adolescence is a critical period of neurodevelopment marked by ongoing maturation of structural and functional brain connectivity. Simultaneously, thi…

Longitudinal associations of structural and functional brain connectivity with dimensions of psychopathology in adolescence www.sciencedirect.com/science/arti...

New paper in Imaging Neuroscience by Gina F. Humphreys and Matthew A. Lambon Ralph:

Mapping the task-general and task-specific neural correlates of speech production: Meta-analysis and fMRI direct comparisons of category fluency and picture naming

doi.org/10.1162/IMAG...

My greatest stats secret:

Jorn’s fMRI stats course is bar none the best resource for trainees learning about neuroimaging stats.

diedrichsenlab.org/classes/mate...

Have gone back over the years to revisit useful sections (eg WLS)

Clear, concise explanations that are plenty useful outside fMRI

Network spreading and local biological vulnerability in amyotrophic lateral sclerosis |
doi.org/10.1038/s420...

How do brain network structure and local biological features shape the spatial patterning of atrophy in ALS? @asafarahani.bsky.social investigates ⤵️

New paper in Imaging Neuroscience by Mikkel Schöttner Sieler, Patric Hagmann, et al:

Comparing and scaling fMRI features for brain-behavior prediction

doi.org/10.1162/IMAG...

I think so. Integrating diverse analysis packages in neuroimaging can greatly accelerate research. That group always seems to publish impressive papers.

netneurotools: a trainee-oriented approach to network neuroscience | bioRxiv www.biorxiv.org/content/10.1...

New paper in Imaging Neuroscience by Francesca Morfini, Randy P. Auerbach, et al:

Brain functional connectivity predicts depression and anxiety during childhood and adolescence: A connectome-based predictive modeling approach

doi.org/10.1162/IMAG...

journals.aps.org/pra/abstract...

Yawn. (“[…] but also that the correlations are incompatible with any global causal order.)

New paper in Imaging Neuroscience by Patrick Bedard, Brian Walitt, et al:

Multimodal neuroimaging of fatigability development

doi.org/10.1162/IMAG...

𝗕𝗿𝗮𝗶𝗻-𝗯𝗼𝗱𝘆 𝗽𝗵𝘆𝘀𝗶𝗼𝗹𝗼𝗴𝘆:
𝗟𝗼𝗰𝗮𝗹, 𝗿𝗲𝗳𝗹𝗲𝘅, 𝗮𝗻𝗱 𝗰𝗲𝗻𝘁𝗿𝗮𝗹 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻
Excellent review paper about reactive and anticipatory processes.
#neuroskyence
doi.org/10.1016/j.ce...

New paper in Imaging Neuroscience by Severi Santavirta, Lauri Nummenmaa, et al:

GPT-4V shows human-like social perceptual capabilities at phenomenological and neural levels

doi.org/10.1162/IMAG...

Spacetop: A multimodal fMRI dataset unifying naturalistic processes with a rich array of experimental tasks - Scientific Data Scientific Data - Spacetop: A multimodal fMRI dataset unifying naturalistic processes with a rich array of experimental tasks

Spacetop: A multimodal fMRI dataset unifying naturalistic processes with a rich array of experimental tasks | Scientific Data www.nature.com/articles/s41...

Association between Brain Structure and Cognitive Ability during Adolescence: Insights from a Comprehensive Large-Scale Analysis of 9 to 15 Year-Olds | bioRxiv www.biorxiv.org/content/10.1...

Toward Robust Neuroanatomical Normative Models: Influence of Sample Size and Covariates Distributions | bioRxiv www.biorxiv.org/content/10.1...

Despite the hype, generative AI hasn’t outshined humans in creative idea generation Despite widespread claims that artificial intelligence has surpassed human creativity, a new meta-analysis provides no evidence to support this belief. The findings, published by researchers in the Netherlands and Denmark, suggest that generative AI may be competent at mimicking creativity, but it hasn’t yet outperformed people in coming up with original ideas.

Despite the hype, generative AI hasn’t outshined humans in creative idea generation