Here is the novel I was referring to en.wikipedia.org/wiki/Understand_(story)
@birbthetopicman285129 күн бұрын
This is insane! This is genuinely so cool.
@Mede_NАй бұрын
Thanks! Awesome format and research!
@fabianoreis9642Ай бұрын
Algum brasileiro poderia nos dizer o que eles falaram no vídeo?? Tenho 44 anos e tenho Glioblastomas a 4 anos
@rodrigoramirez-rodriguez834Ай бұрын
Thank you so much for your material! It’s excellent! I have already entered the password and the account you kindly shared with us. However, when I open the program on my MacBook Air M2, it automatically closes with the following error: Problem Report for TrackVis: TrackVis quit unexpectedly. Notes: PC register does not match casting Frame (0x0 vs 0x10F120F04). Could you please provide some guidance on how to resolve this issue? Best regards
@CNSeminarsАй бұрын
To run TrackVis on the new iOS version, you’ll need to download the latest version of the software. Here’s how to do it: 1. Download the Latest TrackVis Version: In the folder, you’ll find a file named iOS_Monterey_users.txt. Inside, there’s a link to the latest version of TrackVis: Download TrackVis. Click on the link and download the zip file. trackvis.org/TrackVis.zip 2. Opening the Application: After downloading, locate the file. Instead of double-clicking, right-click (or control-click) the file and select Open. You’ll get a pop-up message from iOS asking if you want to open the file-click Open to confirm. 3. Relaunch the Software: Once the installation is complete, restart TrackVis, and the new version should run smoothly on your system. Following these steps should solve the issue. Let me know if you have any questions!
@Theartofunfixingmyface2 ай бұрын
What happens to the children when they grow up. What is you are undiagnosed? How do you get help?
@shashanksinha24153 ай бұрын
Nice presentation
@ladybugbaldiga73583 ай бұрын
This is not loud enough.
@shiftybroccoli88914 ай бұрын
So: 1Neanderthal pre natal :23 AMH pre natal ratio. What's the ratio on the other two categories?
@mo87m4 ай бұрын
@Clinical Neuroanatomy Seminars Do you know if the newer, non-invasive procedure known as Temporal interference (TI) can be used for OCD also?, Thanks
@bevstokes97644 ай бұрын
I'm one of the patients
@aritraghosh62434 ай бұрын
Hi, hello . Do you have the actual video of doing klingler dissection?
@immortalityIMT4 ай бұрын
Did you say 9:30 on a Monday, who does that? Are you out to injure people.
@jinmeixia68195 ай бұрын
I like to ask Chris whether published articles can be open to public comments just like KZbin video. This level of openness can reduce publishing bias and publishing corruption, which may be the root of problems. I assume authors who opt to open their publications to public comments could receive very harsh criticisms, but that should be good for science
@jinmeixia68195 ай бұрын
A strong sense of responsibility for good science. A truly worthy exploration with great prospects.
@CNSeminars6 ай бұрын
The authors got back to us about the discussion and added these points. Very cool that Herve saw the inspiration was the Bethlehem et al. Brain Charts study. We didn’t explicitly say this, but this study was an inspiration for this work. Combining cohorts: this is the biggest limitation of the study. We cannot use existing harmonization methods here because there is no age-overlap in the cohorts. I truly believe this created some false peaks/bumps/discontinuities in our lifespan data (which is why we downplay the ‘peak’ analysis, and try to analyze each cohort separately for most questions we ask) Biases and challenges with DTI: you are right - something like FA doesn’t truly tell us what is happening across the lifespan and is particularly challenging due to partial volume. We’ve had some interesting discussions on FA of the CST - some studies show an increase with age, some show a decrease. Ours showed a slight increase (but it was not statistically significant, and was only positive ~65% of the time in bootstrap experiments). Along/across bundles… this would be a fascinating question to ask about relationships between bundles (instead of between features). We did do along-tract analysis (for example, along the arcuate fasciculus) but didn’t include it because the paper was getting quite long. Scales across datasets: for visualization we have to choose different scales for each cohort - Herve was right, because the Baby cohort has such large changes, all other datasets had no contrast in the matrices. Normalizing by brain size: results are shown without covarying for sex or brain size…although we also did analysis with covarying for both (and have the effect sizes and slopes still saved somewhere!). Figure error: Figure 3 has a very small mislabel on the colour. Our scales are all positive-to-negative, but our Matlab printing mislabeled a couple of the colours. We immediately let the editors know but these changes haven’t been reflected yet. It does not change anything else about the figure or interpretation. Herve had an excellent point about comparing development to aging - indeed, we only compared slopes in the paper. We did try a few ways to ask about relationships between these stages of the lifespan, but settled on this approach because it seemed to be the most common in the literature.
@sbollmann_MRI6 ай бұрын
Great presentation:) one little addition to a question in the video: the neurodesktop container is 1.5gb in size and we download all neuroimaging software either on demand from a distributed file system (cvmfs) or we download a singularity/apptainer container depending on what’s available for use.
@lemaitreh6 ай бұрын
Thanks and thanks again for clarifying ;-)
@vlabogd6 ай бұрын
It is pretty surprising to see superior temporal gyrus implicated in processing of visual distractors. Thanks for the talk!
@BUY_YOUTUB_VIEWS_4816 ай бұрын
If this video were a flavor, it'd be my favorite ice cream!
@amvisible7 ай бұрын
Can you guys please do more sessions of just like the same from research paper
@adrianhigh42109 ай бұрын
I am a non academic but interested in your talk...In particular is Gregory's focus on single hemispere due to practical difficulties studying both sides concurrently? as I would have thought even the presence of functional lateralisation and the coordination/dual processing and end processing decision mechanisms would be mind blowing in complexity but would warrant further research.??Amazed how much you all do know with apparent certainty Thanks AH
@wynandwinterbach4559 ай бұрын
Fantastic session. Thank you for sharing it!
@YanPagan10 ай бұрын
THANK YOU DR. RATIU FOR THIS GREAT ADITION TO MODERN MEDICINE AND RADIOLOGY🙏🙏
@brunoperezortega196111 ай бұрын
1:02:22 1:07:38
@qministry11 ай бұрын
Equipotentiality in learning theory is when every stimulus, response and reinforcement are potentially subject to association - equally associable- thus learning. This is one of the principles of behaviorism, environmentalism-- while, the neural level reflects STP/LTP regardless of sensory motor modality! Kiumars Lalezarzadeh, PhD
@InquilineKea Жыл бұрын
what are S and O information?
@xingzhenWang Жыл бұрын
thanks, good vedio!
@AnnaMatsulevits Жыл бұрын
Thank you for your comment and for clarifying the point regarding the benchmarking in our discussion. We appreciate your input and the detailed explanation!
@mackenziemathis8172 Жыл бұрын
Thanks for journal clubbing our paper! I do want to point one one inaccuracy in your debate -- it was raised that we should have benchmarked 3D UMAP, but we benchmark in equivalent dimensions, as we state in the paper clearly. CEBRA 3D is ON a hypersphere, this is fully equivalent to a 2D Euclidean space topologically. AS in our 3D space we can't "fill the globe," we can only be on the surface. And, as you see in Figure 1, we actually used a 2D CEBRA embedding, not 3D, where we outperform UMAP. -Mackenzie Mathis
@Canonimus Жыл бұрын
The idea that structure can predict function is so old, is not surprising, is innate in electromagnetic,complex information systems. Alex Fornito and his team are doing great job for a decade ✌🏼😁
@timothymcglynn1935 Жыл бұрын
🎉😮🎉
@qministry Жыл бұрын
Thank you for the presentation. Was there any reference to the thickness of the thalamus and its influence on threshold for levels of consciousness- oscillations - variability? How about coupling? Which, coupling or variability could be directly involved in consciousness or semantics? How about RAS and consciousness in this? Kiumars Lalezarzadeh, Ph.D.
@lucamatteobarbieri2493 Жыл бұрын
It would be cool to integrate vision with latent diffusion and words with gpt into a single reconstruction, maybe adding sound, emotions, tactile proprioceptive sensations, premotor activity etc.
@OnTheGo19 Жыл бұрын
nice tutorial, clear and easy to follow.
@CNSeminars Жыл бұрын
Glad it was helpful!
@o.v.i.6380 Жыл бұрын
whats the piano song the guy plays in the trailer video???
@qministry Жыл бұрын
Thank you for an interesting presentation. I recalled the lab from the past. If understood accurately, representation of "meaning" in the brain is spread out- there is a redundancy in decoding in different regions given a stimulus. One would want to know if the activation is simultaneous, or there might be a temporal order and spread of activation. In addition the underlying neurochemistry might differ in the gray matter in response to different word stimuli - 'meaning'. If the neurochemistry differs in response to different stimuli, the amino acid expressions would differ too. In that case the 'meaning' may not be all over the brain in the same way. Or alternatively, the there might be common code in the brain for all word stimuli regardless of meaning. That is, the brain encoded all words equally (i.e., as in Aristotle's tabula rasa) to begin with and then associated affective meaning to words depending on pleasant and unpleasant events, or alternatively as in Plato, there was a preexisting codes in the brain for separate meanings. I wonder if one could derive at the fundamental question given fMRI, PET or any other imaging whether or not, as such did word-stimulus-meaning preexist or condition-evolve with other affective stimuli. Kiumars Lalezarzadeh, Ph.D.
@anitaceka8150 Жыл бұрын
Grande Dori
@anitaceka8150 Жыл бұрын
Dori shume djal perfekt
@dr.vanessamedina Жыл бұрын
❤
@rosariomalcamachicao9342 Жыл бұрын
Excellent 😊Erick
@Fai_11 Жыл бұрын
this is good, thanks for sharing such a thing
@tgifford4 Жыл бұрын
Thank you! 👍
@graphvar9022 Жыл бұрын
Great Video! Thanks!
@athanasia49792 жыл бұрын
thank you for posting this! It made me understand this condition better and you gave a good idea the studies I should take a look at!
@ramboshar57472 жыл бұрын
Your are a hero god bless you
@schurro2 жыл бұрын
Thanks for highlighting our work! Just two comments that might be useful: First, we did test whether one could apply tractography algorithms on top of the tensor field you get from Nissl-ST. We found that it is indeed possible, and as an example we tracked both the corpus callosum and a novel U-fiber around the occipitotemporal sulcus. You can see it in Supplementary Figure 16 in the paper: www.science.org/doi/10.1126/science.abj7960 Second, the RGB map of the diffusion MRI data in Figure 2 does look a little different than what is common in the field. This map is based on HCP data (with 1.25 isotropic resolution). We color-coded it using the in-plane orientation (as opposed to the regular RGB color map used in 3D diffusion imaging). To obtain the in-plane orientation we used CSD and projected the dominant in-plane lobe onto the plane (we show this process in Sup. Fig. 2). Then, we just smoothed the image a bit for visualization purposes. The unsmoothed image appears in Sup. Fig. 3.
@CNSeminars2 жыл бұрын
Many thanks for your comment and clarification. Exciting work!
@megansland89202 жыл бұрын
so interesting! its got to be less noise than traditional scanner to.
@attoampere2 жыл бұрын
dear thomas! thx a lot for this highly interesting talk which i just watched for 30mins. if you combined your tools with a tilt bed you could turn it into an invaluable diagnostic tool, as slipperiness is something that’s always being monitored unconsciously in sleep, and if not so most likely pointing to some peripheral and/or central neuropathology. there’s quite a recent paper on how to translate that research into the MRI without actually having to tilt a table -> wrt. dynamic functional connectivity etc. 10.1109/TOH.2021.3139890 best regards atto
@CNSeminars2 жыл бұрын
We will pass your comment on to our speaker
@CNSeminars2 жыл бұрын
We passed on your comment to Thomas and he was keen on the idea of a tilt bed. Thanks for the suggestion
@mengyelyu30732 жыл бұрын
Code availability "The custom software codes used for the EMI removal demonstrated in Fig. 3 can be also downloaded from the public repository (github.com/bispmri/Ultra-low-field-MRI-Scanner). "
@CNSeminars2 жыл бұрын
Many thanks for sharing the link!
@rangjungyeshe2 жыл бұрын
Really good interview. Thanks for putting so much effort with the timeline, titles etc that make the interview a great resource.
@CNSeminars2 жыл бұрын
Thanks for the lovely feedback! We are elated you are enjoying the content.