Fatemeh Jamshidian

Interested in Network hubs, cortical hierarchies, and gradients? Ever wonder where they come from? Check our latest review, where we cover different approaches to mapping hubs, models for their evolution, and mechanisms for how they develop:

osf.io/preprints/os...

17.08.2025 04:27 — 👍 97    🔁 40    💬 1    📌 1

💥 An exceptional opportunity to engage in interdisciplinary research with guidance from leading experts affiliated with prestigious institutions. 🌍

💭 As a participant in this international group, I can confidently say: Interdisciplinary, International, and Inspirational!

#InterdisciplinarySchools

19.07.2025 08:46 — 👍 0    🔁 0    💬 0    📌 0

While the world burns, we cook up a new preprint! doi.org/10.1101/2025...

Biophysical modeling is a key tool to derive mechanistic insights into the brain. These models are governed by biologically meaningful parameters (unlike artificial neural networks), but the dirty secret ... 1/N

11.04.2025 01:35 — 👍 102    🔁 38    💬 1    📌 4

I would recommend that you insist your PhD students learn how to write a paper and code without help from AI tools.

If they use AI to code or draft a paper, they are robbed of learning two of the most important skills a student needs to learn during their training.

27.03.2025 14:00 — 👍 57    🔁 7    💬 2    📌 0

This is amazing! I have been curious to know how combining MRIs with genomic data(how genomes can talk to MRIs), as you have discussed earlier, can lead to groundbreaking developments in our knowledge of how genes shape brain anatomy and disease.
Eager to see where this will go!

23.02.2025 19:02 — 👍 0    🔁 0    💬 0    📌 0

"If you think research is expensive, try disease" - Mary Lasker

Nothing else to say.

19.02.2025 00:38 — 👍 362    🔁 99    💬 4    📌 0

Obtaining genetics insights from deep learning via explainable artificial intelligence - Nature Reviews Genetics In this Review, the authors describe advances in deep learning approaches in genomics, whereby researchers are moving beyond the typical ‘black box’ nature of models to obtain biological insights through explainable artificial intelligence (xAI).

Obtaining genetics insights from deep learning via explainable artificial intelligence (2022) www.nature.com/articles/s41... 🧬🖥️

09.02.2024 14:28 — 👍 11    🔁 4    💬 1    📌 0

We are very excited to announce the open release of a new 170 participant dataset: Linked MEG, TMS, multimodal 3T MRI, 7T MRI, Connectom MRI, cognitive /questionnaire data. Immense effort from a fabulous
CUBRIC team. Paper by Carolyn McNabb et al: doi.org/10.1038/s415...

06.02.2025 11:43 — 👍 145    🔁 67    💬 2    📌 8

From neurons to galaxies, this shared complexity brings me peace and wonder 🌌🧠

18.01.2025 14:50 — 👍 0    🔁 0    💬 0    📌 0

Live High-Definition Views from the International Space Station (Official NASA Stream) YouTube video by NASA

Looking at the night sky, I’m amazed by how the universe, with its galaxies and stars, mirrors the brain’s intricate networks. Whether studying the brain or just marveling at the cosmos, I’m reminded that everything is connected.

Enjoy this live stream :)

www.youtube.com/live/wG4YaEc...

18.01.2025 14:49 — 👍 0    🔁 0    💬 1    📌 0