In this episode of The Biological Psychiatry Podcast, Dr. Elvisha Dhamala sits down with Dr. Sidhant Chopra from Orygen and the University of Melbourne to discuss his recent paper published in Biologi...

Cocuzza et al. show that brain network dynamics are less flexible in psychiatric illness, and these patterns predict individual symptom profiles better than diagnoses, highlighting brain dynamics as a...

Small neuroimaging studies are unlikely to capture consistent anatomical changes related to conditions such as autism, schizophrenia and mood disorders, according to a new “wake-up call” study.

This review integrates computational approaches to provide a unified view on how data analysis methods, biophysical mechanistic models and machine learning approaches can help to uncover the origins a...

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

Using normative modeling to measure the interindividual variability of atypical brain functional connectivity in autism, the authors identify heterogeneity at the level of specific connections alongsi...

Sypres.io continuously tracks and evaluates psychedelic research, offering an up-to date view of study findings, design, and limitations.

Galloni et al. introduce “dendritic target propagation”: a Dale’s law-compliant learning algorithm for cortical microcircuits with soma- and dendrite-targeting inhibition and realistic connectivity co...

Molecular Psychiatry - Neuroanatomy reflects individual variability in impulsivity in youth

By Elvisha Dhamala. Looking ahead, our field must continue to prioritize diversity among researchers and commit to studying brain function and dysfunction across varied populations, life stages, and s...

YouTube video by Roselyne Chauvin

Author summary To understand how the brain processes and merges information from our senses, we need more than just a “wiring map” of its connections; we need to see how signals actually travel throug...

Using a network control theoretical framework, we found that the brain's rich club does not optimally control dynamics of the brain. Instead, size-matched sets of random peripheral regions had a sign...

The Allen Human Brain Atlas helped researchers design a model that looked at “intrinsic neural timescales”

Baracchini et al. reveal that temporal variability in fMRI brain signals encodes biologically meaningful information across spatial and temporal scales, highlighting its role in healthy brain function...

Here, the authors develop novel dynamical methods to model brain regions’ intrinsic neural timescales (INTs) from data, and find that they couple whole-brain structural connectivity to dynamic switchi...

A joint UConn - University of Minnesota research study concludes that there may be some reality to the "summer slide" of dips in test scores follo ...

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