Long awaited 2nd album by @NaturalPhiloso3 Give it a #spin Science radio has NEVER been this good @DrSFink @m_wall @leechbrain @BorisBernhardt @RCarhartHarris @ravennwallace @AFornito @adamgturnbull @sofievalk @Unthought10 @HaoTingW713 @manos_tsakiris @micahgallen @DrGBuckingham

I would be grateful for the retweets. Open PhD position in my group to look at using cognitive computational Neuro approaches to understand motivation.

cc @ravennwallace

Super stoked that we finally have our socials up and running & a big thank you to our lab coordinator Madhu for her fantastic work in putting our website together! Check us out at https://t.co/fjDjq2DhrH!

Dear colleagues, please circulate, I am looking to fill a PhD position in computational neuroscience - fully funded (3 years). Part of an international collab. (4 labs) to test and develop further computational models of episodic and spatial memory https://t.co/2Qq6LcahOP

I'm happy to share our Review article in @TrendsCognSci , "Cognitive Maps and Schizophrenia", synthesising evidence for representation-level abnormalities in the condition, and proposing directions for future work. https://t.co/5wUwAbFCTs

🚨 Postdoc Position Available in Electrophysiology & Machine Learning! 🚨 Join our team at the Institute for Neuromodulation (Hôpital St-Anne) in Paris, France. Work on cutting-edge research involving voltammetric recordings in human patients. [1/5] 🧵 #Postdoc #Neuroscience

Remember back in 2022, when we didn't need to worry about a 2nd Trump Presidency, but were concerned about how many participants it would take to map links between personality & brain activity? (cf work by @smarek0502 & @ndosenbach) We have good news 👇 https://t.co/ebwjrvYwJV

Happy to announce! Come join us for a great meeting! Check https://t.co/AKDCbC5yQX and join the society :-) #neuroscience #philosophy

We’re still looking for one more MSc or PhD student to join our lab @USherbrooke! 🇨🇦 Canadian students can start as early as January! We have many ongoing projects in neuroimaging of epilepsy and early brain development. More info here 👉🏼👉🏽👉🏾

Super interesting paper, excited to dig in

cc @meharpist @micahgallen @PessoaBrain @Neuro_Skeptic

Long awaited 2nd album by @NaturalPhiloso3 Give it a #spin Science radio has NEVER been this good @DrSFink @m_wall @leechbrain @BorisBernhardt @RCarhartHarris @ravennwallace @AFornito @adamgturnbull @sofievalk @Unthought10 @HaoTingW713 @manos_tsakiris @micahgallen @DrGBuckingham

This project was led by the AWESOME @Hardigirl (post doc in @THinC_Lab) but benefited from collaborations with @MilhamMichael @TingsterX @sofievalk @leechbrain @borisberhardt @DanielMargulies and others.

The good news is that we can optimise task contexts to maximise their sensitivity to specific relationships, reducing the cost of future BWAS. See work by @leechbrain @romy_lorenz to see how this could work https://t.co/6r3Yc7IHK0

So the take home is that BWAS studies that use only 1 situation (often rest) require large sample sizes because any single situation may not be suited to detect brain-trait associations for all trait dimensions. See this nice review by @GrattonCaterina

Importantly we looked at how many people you would need to show the relations in the best tasks for capturing a specific trait. Our estimates suggest hundreds (not thousands) of people would be needed to show the brain-trait relationship seen in the whole sample.

These relations were clear for #gradients 3 (task positive-task negative) and 2 (vision-motor). Tasks with a strong response for one trait were different to those for other traits. This suggests there is likely no -one-size-fits-all situation for all brain-trait associations

We examined if location of any of the tasks in the state-space varied with traits using Linear Mixed Models in R. We found little evidence that traits uniformly impact on brain activity in all tasks. Instead brain-trait association were often stronger in some tasks than others 👇

To this end we took the task data from the Human Connectome Project and examined how brain activity in each situation vary with the Big-5 Personality traits. We built a 3d state-space using the first three #gradients from the work by @margulies and projected task data into it 👇

Brain Wide Association Studies (BWAS) often make an assumption: Traits are expressed equally in a situation e.g. rest. However, psychology know some traits are expressed more in some situations than others. this contextually-bound view of personality help improve BWAS?