In a recent study published in [*Nature Medicine*](https://www.nature.com/articles/s41591-024-03057-9), researchers used functional magnetic resonance imaging (fMRI) data on brain circuit function to derive interpretable, personalized brain circuit dysfunction scores for patients with anxiety and depression. These scores were used to quantitatively define biotypes based on similarities in neurobiological dysfunction that could help improve response to pharmacotherapy and behavioral therapy.
Brain_Hawk on
I’ve seen this at conference and I think I reviewed another paper from them that was similar (my memory is so bad for these things!)
I’m pretty enthusiastic about this work and the direction they are taking. As I recall (I didn’t reread the paper) I have some concerns their circuit biotypes are a bit to simplistic, but generally this is well done work that has the potential to move diagnostics and psychiatric neuroimaging forward.
Cool stuff. I love seeing posts from stuff I know 🙂
>community-level contexts including environment and health care systems; and country-level contexts including political and economic factors, cultural norms, and specific policies. Overall, they found that **poor and disadvantaged populations are most affected by mental disorders, and that cumulative stress and physical health serve as mechanisms through which the impacts of social determinants multiply across the lifespan [4]. Other research describes how cumulative advantages and disadvantages impact health across multiple generations**
3 Comments
In a recent study published in [*Nature Medicine*](https://www.nature.com/articles/s41591-024-03057-9), researchers used functional magnetic resonance imaging (fMRI) data on brain circuit function to derive interpretable, personalized brain circuit dysfunction scores for patients with anxiety and depression. These scores were used to quantitatively define biotypes based on similarities in neurobiological dysfunction that could help improve response to pharmacotherapy and behavioral therapy.
I’ve seen this at conference and I think I reviewed another paper from them that was similar (my memory is so bad for these things!)
I’m pretty enthusiastic about this work and the direction they are taking. As I recall (I didn’t reread the paper) I have some concerns their circuit biotypes are a bit to simplistic, but generally this is well done work that has the potential to move diagnostics and psychiatric neuroimaging forward.
Cool stuff. I love seeing posts from stuff I know 🙂
like the other comment ive read about this topic…
useless pseudoscience
edit: real science
2018:
[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6181118/](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6181118/)
>community-level contexts including environment and health care systems; and country-level contexts including political and economic factors, cultural norms, and specific policies. Overall, they found that **poor and disadvantaged populations are most affected by mental disorders, and that cumulative stress and physical health serve as mechanisms through which the impacts of social determinants multiply across the lifespan [4]. Other research describes how cumulative advantages and disadvantages impact health across multiple generations**