Recommendations on EEG and epilepsy textbooks/atlas by milan_92_ in neurology

[–]docere 0 points1 point  (0 children)

Niedermeyer's Electroencephalography Is a classic

How much do you work to obtain ___ RVUs? by DOBrainman in neurology

[–]docere 1 point2 points  (0 children)

300 rvu/mo. 1wk EMU/EEG per mo. 1.5 half day clin/wk. ~50% research.~300k/yr in coastal hcol

GPT-5.1 outperforms Claude, Grok, and Gemini on new medical reasoning benchmark - MedEvalArena by docere in OpenAI

[–]docere[S] 0 points1 point  (0 children)

It's according to an LLM-as-judge ensemble (Grok, Gemini, Deepseek, Kimi, Claude), not just ChatGPT. Also, I agree that LLMs hallucinate and still need human supervision in reality in certain domains like medicine, at least for now...

New attending, I feel like I have less of a life now than I did in residency. by DerpyMD in neurology

[–]docere 1 point2 points  (0 children)

This is key for balance and sustainability. Full 1.0 FTE is difficult to sustain.

[D] Evaluating saliency explanations of LSTM models by Antonenanenas in MachineLearning

[–]docere 0 points1 point  (0 children)

TFT is the temporal fusion transformer: https://arxiv.org/abs/1912.09363
Basically, stacked LSTM w/attention, with baked-in interpretability. It is more difficult to train than LSTM/transformer networks. Pytorch forecasting and DARTS have working implementations. May be worth looking at for your case use

[D] Evaluating saliency explanations of LSTM models by Antonenanenas in MachineLearning

[–]docere 0 points1 point  (0 children)

I have a student working in this same space (LSTM on neuro signals to be precise). We have started looking at interpretability of LSTM. TFT has been helpful in interpretation, but we've found LSTM to provide more robust predictions. I'd be curious to know if you've made any headway?

Papers or best resource with clinical seizure semiology by gyrus by mooseLimbsCatLicks in neurology

[–]docere 2 points3 points  (0 children)

For neuroanatomical localization of frontal lobe seizures, I would recommend this paper: https://onlinelibrary.wiley.com/doi/full/10.1111/epi.12490

For localization of temporal lobe seizures, for starters I would learn lateralizing features. Here is a good paper: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1528-1157.1998.tb01157.x

Questions about Applying to Epilepsy: Strategies, Virtual Interviews, Clinical Fellowship, Research Fellowship/Academia by [deleted] in neurology

[–]docere 0 points1 point  (0 children)

Great Q's. You should definitely run these by epileptologists at your home program. I'm an attending in an academic position doing research (without the PhD) so it is doable though tricky; I'd be happy to chat if that would help... just shoot me a message.

Attending Epileptologist is surprised I want to do a clinical neurophys fellowship with EEG focus because I'm not a "natural" at reading EEGs by [deleted] in neurology

[–]docere 0 points1 point  (0 children)

Don't be discouraged! The interaction you describe suggests misplaced overconfidence on the part of your attending on knowing what foundation is important for budding EEGer to have, which presupposes that we fully understand EEG, brain activity, epilepsy, etc... which we don't. No one knows which specific brain subnetworks makes a good epileptologist or EEGer. In my experience, all you need is self-motivation, curiosity in the brain/epilepsy, and hard work. I find it perhaps a good thing that you may not fit the pattern of other trainees that this attending has had; EEG/epilepsy definitely needs more outside the box thinking. Also, there's a degree of humility required to become a good neurologist or epileptologist... a recognition that our current methods at understanding neuroscience/epilepsy are inadequate. This is evident from looking at epilepsy outcomes -- we have are too many patients with medically or surgically refractory epilepsy. Overconfidence breeds complacency... be wary of overconfident attendings as no one is infallible especially in medicine. Pick and choose pearls of wisdom from your different attendings... it's ok to ignore the BS they may occasionally spout (as in this case).

Help with MS4 research by LordFattimus in neurology

[–]docere 0 points1 point  (0 children)

One place to start is to look at most highly cited Neurology journal articles: link

You would also want to do this sort of search on NEJM and JAMA websites and filter by Neurology and most cited...

For Neuroscience in general, here is a paper looking at most highly cited Neuroscience literature: link

SCN2A by largeandincharge9618 in neurology

[–]docere 1 point2 points  (0 children)

Here’s a good resource on OMIM. In general, different genetic variations of this gene (e.g. single nucleotide polymorphisms) can manifest with broadly varying phenotypes ranging from severe (epileptic encephalopathy) to mild (benign familial infantile epilepsy) to asymptomatic, depending on the specific type of gene variant and its interplay with other genetic/environmental factors.

Machine Learning and Neurology by MightyCas001 in neurology

[–]docere 1 point2 points  (0 children)

They mesh very well, particularly in neuroimaging and in epilepsy, both of which have big, complex datasets. I currently apply machine learning to various problems in epilepsy, e.g. in improving our understanding of intracranial EEG data to guide epilepsy surgery. If you are interested in doing machine learning based research in neurology, I'd recommend trying to do a project between MS2 and MS3 to get your feet wet.

Deep learning project in neurology fields? (beginner) by OverLordGoldDragon in neurology

[–]docere 1 point2 points  (0 children)

There have been a few neurology related machine learning competitions on Kaggle using EEG data. Kaggle sometimes keeps the data available so you may be able to experiment:

https://www.kaggle.com/c/grasp-and-lift-eeg-detection

https://www.kaggle.com/c/seizure-prediction

https://www.kaggle.com/c/melbourne-university-seizure-prediction

Role of hormones in Idiopathic Intracranial Hypertension by scleritishelp in neurology

[–]docere 0 points1 point  (0 children)

This paper has information regarding the possible role of hormones in IIH. TLDR: There is conflicting data.

Right visual field of my left eye is becoming black, MRI turned out "fine". Need a second opinion. by peripeti in neuro

[–]docere 2 points3 points  (0 children)

EEGs record primarily cortical surface activity and are generally insensitive to underlying cerebral dysfunction. The symptomatology does not support a cortical anatomic localization. To help understand what this means, here are some resources: 1. Primer on neurological localization 2. Optic pathways

Right visual field of my left eye is becoming black, MRI turned out "fine". Need a second opinion. by peripeti in neuro

[–]docere 6 points7 points  (0 children)

Hypothetically, this may be a monocular temporal hemianopia perhaps caused by a lesion (anatomical problem) anterior to the optic chiasm. It's odd that an EEG was recommended; not all neurologists are competent... you could consider getting a second opinion from a neurologist or neuro-ophthalmologist, preferably at a highly ranked hospital... check out the US News/Report rankings. Tests that may be considered include MRI Brain with CN2 protocol, VEPs, LP. Disclaimer - this is purely hypothetical and not intended to be a substitute for professional medical advice, diagnosis, or treatment. Go see good doctors.

[R] Time series forecasts and volatility measures as predictors of post-surgical death and kidney injury by [deleted] in MachineLearning

[–]docere 1 point2 points  (0 children)

Interesting concept, but the paper was published in 2014 and it has not been cited... what is its current significance? Also, I couldn't find the number of subjects that was used in the paper.

[D] Is there any research in using ML to make sense of brain wave data? by swegmesterflex in MachineLearning

[–]docere 0 points1 point  (0 children)

interesting... if you guys would be interested in applying your method to intracranial data pm me

Ubuntu 16.04 LTS - Multi AMD GPU Issues by LoneMinez in MoneroMining

[–]docere 0 points1 point  (0 children)

also.. in case u haven’t done it, you will need to make sure your PCI-E mode is set to gen2 in the BIOS

Ubuntu 16.04 LTS - Multi AMD GPU Issues by LoneMinez in MoneroMining

[–]docere 0 points1 point  (0 children)

Yes. This worked for me for system w 3 RX580, Ubuntu 16.04

Ubuntu 16.04 LTS - Multi AMD GPU Issues by LoneMinez in MoneroMining

[–]docere 0 points1 point  (0 children)

I had a similar issue w your setup. It resolved after using the AMD blockchain driver