Computational Psychiatry a Complete Self-Study Guide

Hi 👋 today I want to teach you about computational psychiatry. Computational psychiatry is an interdisciplinary field that uses computational methods and models to understand the underlying mechanisms of mental disorders, and to develop new treatments for these disorders. I want to give you a program with which you can start to study computational psychiatry by yourself. I listed all the resources below. Hope you enjoy 🧠!

00:00 - Intro
00:41 - What is computational psychiatry?
02:41 - The limits of the DSM-5
05:16 - The future of computational psychiatry
07:18 - Models used in computational psychiatry
10:47 - Data used in computational psychiatry
11:22 - Tools to learn computational psychiatry
15:44 - Throwing equations at mental disorders?

📚Resources:

Books:

Papers:

Courses:

On the conversation with mental disorders:

“In the serene world of mental illness, modern man no longer communicates with the madman: on on hand, the man of reason delegates the physician to madness, thereby authorizing a relation only through the abstract universality of disease; on the other, the man of madness communicates with society only by the intermediary of an equally abstract reason which is order, physical and moral constraint, the anonymous pressure of the group, the requirements of conformity.”

Books I love:

Courses I love:

*Some of the links are affiliate links, which help me buy some extra coffee throughout the week ☕️

🙋‍♀️ Hi, my name is Charlotte Fraza a third year PhD student in Computational Neuroscience at the Donders institute in the Netherlands. With this Channel I hope to teach the world about Computational Neuroscience and give current and prospective students the tools to enter this field. I hope you enjoy the videos ❤️.

💃 Connect with me
I try to answer all the comments, but if I don't respond I'm probably in my coding cave 👩‍💻

Sub count:
📈 45,084

[spitfirerulz]

Great summary! As a CS PhD student, I just wanted a very quick snapshot of the flavour of the field and this was incredibly helpful.

[adam.mcmillan]

Thank you for this fascinating video! I'm doing my psychology honours study in a cognitive neuroscience topic, but your channel has made me extremely interested in computational approaches which I haven't had any exposure to in my degree. I can see the potential benefit of studying certain disorders using something like bayesian inference. E.g. in anxiety, where it intuitively makes sense to me that prior beliefs and biases have an unusually strong impact on present experiences. Going to read the papers you mentioned in the video :)

[aroraharsh]

I think equations can be used in psychiatry, but what we have to keep in mind can be conveyed through this quote: "All models are wrong, some models are useful". We shall use models for some insights but we need to be cautious about how much we are driving our decisions from the model inferences.

I truely resonate with your opinions and many thanks for the material you have shared here. I am a 3rd year Neuroscience PhD student from India.

[yashovardhanshakya]

I think equations could be used to learn, since mathematics brings preciseness to the argument and power for good analysis

[thunderdominique]

Hey Charlotte ! Thank you for all these recommandations. Thanks to you, I'm currently following the Zurich Computational Psychiatry Course and it's really interesting. Your speech this morning was really great and helpful.

[Ayrtonjulian]

You are doing all the things that I ever wanted to do for answer my questions in my field. Sadly, hear I don't have to much tools to get properly form in translational psychiatry. Love you're videos!

[anantyapustimbara]

Thank you so much for making this video, it’s easy to understand and very helpful!

[mmarrotte]

Oh my goodness this is an amazing collection of information - I did not realize how much of my own research and work is connected to this field! Thanks so much for sharing all of this, very much looking forward to learning more :)

[cookiesnotouchy]

On your question to the audience: I think that trying to computationally and equationally calculate mental illnesses is an absolutely workable idea, since I believe that there are no areas “too human/animate” to try to calculate them, but only insufficient knowledge of the area or limitations in computing power/time.

Thank you for the video)) I enjoy the quotes you choose! Thank you for the time you spend to choose them from your first and second brains))

[mariaduk]

Thank you for the video, please keep making more! As a current Neuro master student looking for the areas of interest you provided me with so much inspiration and knowledge! ❤

[iincineratee]

OMG! i think I found something I love! Thank you for exposing this topic. I have a degree in Neuroscience but was unsure how to mold my passion for philosophy, psychology, and decision making theories! I think I would love to study computational psychiatry! I’m looking to get a masters but not sure where to begin.

[lucas_zampar]

Amazing video! Thanks for the knowledge you share with us.

[annwhoorma]

this is super helpful!! thank you very much!

[haha-etkd]

This is soooo helpful! Please keep making more! Thank you!

[isaacthompson]

For sure equations/modelling could provide answers provided they are falsifiable through experiments, since the brain is fundamentally a physical system. However it's very easy for someone to come up with some complicated equations to back up a theory they might have, giving it an air of legitimacy, but without solid experimental backing this is just a hypothesis or more like philosophy. There's nothing wrong with writing papers like that, and they can be very interesting, but I think they should be treated like philosophy rather than solid science that can be taken as fact. I think this is perhaps where the controversy can come from - where authors or others claim this kind of thing is anything more than philosophy whilst having shaky or no experimental backing, or worse - no forseeable way of performing experiments that would actually rigourously test their theory.

[ronaldrussel]

Extra channel, I really like your content, support for the future.♥️

[vutyan]

Thanks for the video and for the papers!
I think an interesting question that rises here is that the models in computational psychiatry should be interpretable. So I would argue that using neural networks in psychiatry in practice might be highly controversial.

[tarangsharma]

I love this particular chapter very much and it should be compulsory in schools as well. I❤

[SnottyPunk]

Hi, Charlotte, this video could not have come at a better time for me, since I just started reading the first article you recommended and I was struggling to find more sources :), thank you! Apart from all these factors you mentioned, I think that the evolutionary perspective is also very interesting. If mental disorders are regarded as undesirable traits, how come they were not eliminated during the course of evolution? I think that perhaps natural responses to physical danger (fear) have been replaced by anxiety as our world became safer, but also more complicated. I agree that there is a great deal of controversy regarding all these things.

[danialdorostkar]

Du bist jemand Besonderes. Ich weiß nicht, wie ich dir danken soll!!!