Oscar Woolnough

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Map of stimulation sites resulting in pulvinar anomia

During direct pulvinar stimulation we reliably induced profound anomia, with patients unable to name common objects and exhibiting tip-of-the-tongue phenomena, confirming pulvinar’s role as a critical node of the distributed naming network. End/🧵

Connectivity maps of cortico-pulvinar interactions

There was strong bidirectional connectivity in this band between pulvinar and cortical sites across ventral temporal cortex, regions we have previously shown are critical for naming function. 4/🧵

Spectrograms of pulvinar activity during naming and non-naming language tasks

We found pulvinar showed a selective low frequency (8-20Hz) suppression during naming, but not other non-naming language tasks. This was highly repeatable across patients and tasks. 3/🧵

Diagrams of electrodes placed in the thalami of eight patients

Our ability to retrieve names of objects is a fundamental aspect of language. Due to inaccessibility in humans, subcortical contributions to this process remain unclear. We used the rare opportunity to record directly from the pulvinar nucleus in 8 patients while they performed naming tasks. 2/🧵

Medial Pulvinar Nucleus as a Causal Hub for Heteromodal Naming Our ability to retrieve the names of objects in our environment is a fundamental aspect of everyday life. This process requires a complex, dynamic network of cortical and subcortical interactions. Whi...

Out now in #JNeurosci! We used direct recordings and stimulation in human pulvinar to probe its causal role during naming from pictures, and spoken and written descriptions. We found naming-selective responses and stim-induced pure anomia.

doi.org/10.1523/JNEU...

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Scientia/De Lange Conference | Rice University Conference focused on the exploration of the dynamic interactions between technology, society, and culture. More specifically, the conference will address the challenges of information technology, hea...

If you are in Houston - or want to travel - join us at Rice Thursday March 12-14 for DeLange XIV: Brains in Society: Preparing for Neuroscience’s Impact on our everyday lives. DeLange.rice.edu

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cool people, follow them!

I built a bluesky labeler for neuroscience methods.

1️⃣ follow/subscribe to: @neuromethods.bsky.social
2️⃣ like the post with your favorite method
➡️ get a shiny methods label in your profile/posts. 🌟

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"You see what you look for, and you look for what you know."

We are proud to release FOCUS: a 100 μm deformable human subcortical atlas precisely registered to MNI space.

www.biorxiv.org/content/10.6...

Color Memory Game — How well do you remember colors? We show you 5 colors. You try to recreate them from memory. Challenge your friends to beat your score. It's harder than you think.

A game a game!

dialed.gg

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Our position paper on the #FIN
The neural basis of our mind’s eye: clinical and neuroimaging evidence converge on a distributed brain network organized around the #Fusiform_Imagery_Node (FIN) in the left fusiform gyrus.
#Neuroscience #Neuroimaging #CognitiveNeurology #MentalImagery #Aphantasia

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Simulated null distribution for data with a sample size of 100, difference in group means of 5, and a p-value of 0.142

Simulated null distribution of a slope of 0.8 and p-value of 0.002

Finally, we have to decide if the p-value meets an evidentiary standard or threshold that would provide us with enough evidence that we aren’t in the null world (or, in more statsy terms, enough evidence to reject the null hypothesis). There are lots of possible thresholds. By convention, most people use a threshold (often shortened to α) of 0.05, or 5%. But that’s not required! You could have a lower standard with an α of 0.1 (10%), or a higher standard with an α of 0.01 (1%). Statistically significant The p-value is < 0.001 and our threshold for α is 0.05 In a world where there is no relationship between x and y, the probability of seeing a slope of at least 0.901 is < 0.1% Since < 0.001 is less than 0.05, we have enough evidence to say that the slope is statistically significant.

Evidentiary standards When thinking about p-values and thresholds, I like to imagine myself as a judge or a member of a jury. Many legal systems around the world have formal evidentiary thresholds or standards of proof. If prosecutors provide evidence that meets a threshold (i.e. goes beyond a reasonable doubt, or shows evidence on a balance of probabilities), the judge or jury can rule guilty. If there’s not enough evidence to clear the standard or threshold, the judge or jury has to rule not guilty. With p-values: If the probability of seeing an effect or difference (or δ) in a null world is less than 5% (or whatever the threshold is), we rule it statistically significant and say that the difference does not fit in that world. We’re pretty confident that it’s not zero. If the p-value is larger than the threshold, we do not have enough evidence to claim that δ doesn’t come from a world of where there’s no difference. We don’t know if it’s not zero. Importantly, if the difference is not significant, that does not mean that there is no difference. It just means that we can’t detect one if there is. If a prosecutor doesn’t provide sufficient evidence to clear a standard or threshold, it does not mean that the defendant didn’t do whatever they’re charged with†—it means that the judge or jury can’t detect guilt.

I just whipped up this little #QuartoPub site last week that demonstrates how I teach p-values/hyp-testing through simulation both with live OJS and with #rstats, and I think it's super neat! It has examples for diff-in-means, diff-in-props, and regression slopes nullworlds.andrewheiss.com #statsky

Found one in the wild! Models of the language network in a published paper in a (presumably) predatory journal.

I think I'd be concerned if a patient had four anterior temporal lobes in their lert hemisphere, it might affect their conprehension

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