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Found this after hearing Dr Sophie Forster on a BBC podcast. I’d love to know where to find more work like this. (I’m late diagnosing with ADHD)

This has been a brilliant video to watch. I was diagnosed with HNPP last year after experiencing paralysis in my left leg following labour at aged 37. Honestly I didn't realise I had a disability and am only realising this now! My mum also has it and was diagnosed first. The chronic fatigue is terrible 😔

29:17 it is good to hear Alex talk. I have had peripheral neuropathy for many years and have recently been diagnosed with HNPP. Most of what I have read is American, and it is interesting to hear about the uk. Thankfully the neurologist I have now is resurching this, I am looking forward to seeing him soon because I have so many questions. I agree that the normal gp really does not understand, I also have a vestibular disorder and it is the same with that. It does affect the quality of life, because we look ok! But feel rubbish! Making people aware of these disabilities is important.

Thank you for sharing your story, and thanks to the team for making the video and raising awareness. I have HNPP along with at least 2 of my 4 children. I have trained with weights on and off since 14 (I'm 52 now). I make gains and then become injured, also the bars affected my hand nerve pain and I kept dropping things. I've recently switched to bands and started a fitness channel to document mine, and my wife's workouts @MarkandJu

Alex is a doll and very very well spoken. Every single thing she said applied to me.

Where can we find citations on the work he's talking about?

great idea, thank you for what looks like a great (and important and wonderfully-intentioned) tool. unfortunately, to me, the core of the problem is researcher degrees of freedom. well, and not knowing what reviewers will make you do. the suggestion to preregister a study in the 'ten recommendations' paper is great, but it's still so hard these days.... anyway, creative improvements like this are welcome and appreciated!

I have hnpp too , I can understand her now I have my right arm paralyzed for a month.. I’m very depressed because I can do my stuff normally and it doesn't seem to be recovering and I'm very worried now

I have cmta1 opposite we have 3 of the genes so too much..with too much it destroys the covering of the peripheral nerves..we have a cure for cmt1a..its going in clinical human trial end if 2023 beginning of 2024..could be a possible cure for your..so ours it to decrease pmp22 and yours would be to add more pmp22

Look up Niacin as a therapy for HNPP. Additionally, rapamycin and even neuroactive steroids.

Hello can you contact me Please , i need help from you for hnpp . I need just information , anithing else . Thank you

Zoom Chat Log: 00:42:48 Sam Berens: I think its important to say... the interaction between Age and APOE status on LTM was not significant so we cannot say that the effect of APOE was stronger in older participants… It is just that we are more confident that a deficit in LTM exists in the older participants (because of the larger samples size and number of studies). 00:46:24 Ediz Sohoglu: You observed an effect of APOE on long-term spatial memory in first meta analysis. But in last study, you didn't observe any group differences and yet one of the measures here was long-term memory of spatial location. Is there is a discrepancy here? I’m curious… 00:47:37 Jamie Ward: Maybe new people can introduce themselves next week 00:49:47 Alexa: Did you have enough data points to look at mean age as a moderator in the meta-analysis? 00:51:02 Jennifer Rusted: in the literature, memory differences on hippocampal tests are not usually reported. In fact, attention tasks are more likely to report APOE effects 00:51:34 Sam Berens: Room 76 00:51:41 Sarah King (Psychology): Neuroscience Seminar room?

😻 𝐩яⓞ𝓂𝓞Ş𝐦

Zoom chat log: 00:28:40 Chris Racey: feel free to type questions in here and I will read them out. You can also unmute and speak if you would like 00:51:42 Marinieves Pardo Rodriguez: Did you have to look for funding or Brexit hadn't impacted on your applications yet? 00:54:08 Amy Kartar: What coding software do you use and how long does it take for you to feel confident with it? I'm really unconfident as I haven't had much practise, and it is putting me off applying for phds! 00:55:17 Amy Kartar: What are the assessments like during the phd? 00:56:02 Vaanya Kainth: I had a question regarding how do you manage your time usually in the sense that between the classes, rotations of labs, etc 00:57:30 Amy Kartar: Neuroscience - I know a few people on python but annoyingly I've only used R before

Zoom chat log: 00:05:13 Jamie Ward: we can hear but it echoes 00:05:15 Zoltan Dienes: hear fine 00:05:23 stuart: I can hear you 00:05:27 Jamie Ward: its better 00:05:38 stuart: its very echoey 00:06:16 Zoltan Dienes: ok for me 00:39:07 Jamie Ward: Really clear talk. Are they given feedback in the training phase? So is it supervised or unsupervised learning? 00:39:45 Zoltan Dienes: Could one characterize the specificity in terms of psycholinguistic features as well: If one trains on degraded vowels one improves only on vowels and vice versa for consonants? 00:41:11 Charlotte Rae: Beautiful results graphs! There were some individual participant differences - e.g. in the highpass group some improved a lot from 10% to 60%, others less. Do you think there are any factors that influence how much benefit individuals get from the training? Primary auditory cortex structure? Musical training? 00:45:06 stuart: How does assimilation affect your sounds 00:47:53 Samira Bouyagoub: I assume all your participants have English as their first language? 01:00:31 Sophie F: Thanks for talk! 01:00:42 Nicholas Dowell: thanks james! 01:00:51 Nicholas Dowell: enjoy the cake

Zoom chat log: 00:05:39 Natasha Sigala: zoom link works fine, yes 00:05:57 Mehmet Uzun: Hi Chris. Yes I can 00:06:59 Chris Racey: thanks 00:45:01 Alexa Morcom: can you ask Chris to repeat questions in the room please for us online? 00:45:21 Sophie Forster: yes i was about to say same. I think maybe the question is strongly overlapping with what I wanted to say but not sure as I can’t hear 00:46:45 Alexa Morcom: maybe 1-4! as performance can be an issue... 00:51:02 Sophie Forster: I would say, having Chris Racey in role has helped with the issue of new studies learning analysis *a lot*! 00:51:55 Charlotte Rae: Sophie - seconded! Chris, thanks so much for a really illuminating and reassuring talk

Zoom chat log: 00:10:50 Jamie Ward: Hi Matteo, nice to see you again! 01:02:36 Rebecca Atkinson: really impressive body of work Mateo! maybe I missed this, but what is the mechanistic relevance of 0.1hz? (sorry, got to ask by chat - having camera/mic meltdown today) 01:07:27 Rebecca Atkinson: that makes sense, thanks Mateo :) 01:07:31 Rebecca Atkinson: great news! 01:12:11 Rebecca Atkinson: thanks Mateo! bye :)

00:05:09 eliseo: Afternoon, yeah 🙌 00:08:14 Danya: \ 00:08:15 Danya: ]’=‘;lp;-= 00:08:36 Danya: Apologies (puppy walked over keyboard!) 00:09:06 Chris Racey: :-) 00:24:36 Alexa: 3 00:43:40 Alexa: Can you repeat questions for us online please? 00:55:00 Alexa: great talk thanks Sam! 00:59:28 eliseo: Thanks

Zoom chat log: 00:12:01 Charlotte Rae: Welcome Itamar! :) 00:57:34 Alexa Morcom: Sorry I have to leave early to teach - great talk and welcome Itamar!

Zoom chat log:- 00:15:13 Chris Bird: I have a question 00:32:16 Jamie Ward: 0.5=chance, is that right? 00:32:54 Chris Bird: and it this a contrast? if so - what is being contrasted? 00:33:58 Chris Bird: ok - thanks

Zoom chat log:- 00:10:42 Chris Racey: If remote people have questions post them in here and I will relay them to Petar at the end 00:39:32 Alexa Morcom: Can you (Petar) repeat questions before answering please? 00:41:24 Chris Racey: I will mention this if there's another question 00:41:43 Chris Racey: that question was about different versions of the packaged tools within fmri prep, and how it deals with it 00:43:58 Alexa Morcom: yes 00:44:00 Alexa Morcom: :D 00:46:43 Alexa Morcom: What's the diff between aggressive and nonaggressive denoising? 00:58:12 Jessica Eccles: How can we access the videos? 00:58:37 Chris Racey: the videos of this recording? 00:58:40 Jessica Eccles: yes 00:58:42 Chris Racey: I will post it on youtube 00:58:46 Jessica Eccles: great 00:59:10 George T: Will we have access to the folder in the CISC servers that was used today? (or the script that created the bids format) 00:59:54 Chris Racey: you already do, they are shared with everyone 01:00:03 Chris Racey: i have to shut this down now 01:00:06 Chris Racey: thank you everyone

Zoom chat log:- 00:11:23 Chris Racey: Welcome everyone! If you have questions/comments by all means write them in here. The chat will be saved and shared with Sophie. There will also be time for questions and discussion. 00:23:23 Maria Hadjimarkou: Hello, I just wanted to say that I find this topic, the idea of getting distracted by internal thoughts very interesting. I have bought the book ‘Chatter’ recently by Ethan Kross, although I haven’t read it yet:-) Several implications I think. 00:39:55 Jamie Ward: Fascinating! I have a question 00:43:33 Arianna Moccia: Very interesting study and nice findings Sophie and Paloma, thank you! I have a question about the RSA analysis - which I realize it’s similar to Jamie’s. Was the similarity calculated between the time when participants saw the faces (i.e., initial task) and when they were probed by the question ‘were you thinking about the face at some point in the block’?. If so, I’m wondering whether the probe itself prompted participants to think more about the face than the baseline. This is because in memory research there’s a consistent effect from the forgetting literature which shows that if participants are instructed to ‘not think’ about an encoded event, the ‘no think’ instruction is associated with forgetting - so effectively some people can prevent the retrieval of encoded information. So I’m wondering if you’ve thought of another more ‘covert’ way to measure these spontaneous thoughts during the task itself as opposed to when prompted - this is of course for future studies. Hope this makes sense! 00:53:26 Arianna Moccia: No, I think it makes sense! 00:53:40 Arianna Moccia: And it’s good to establish the effect first and then build on it 00:58:27 Sam Berens: Thank you!

Zoom chat log:- 00:13:35 Chris Racey: Welcome everyone! If you have questions/comments by all means write them in here. The chat will be saved and shared with Iulia. There will also be time for questions and discussion. 01:09:37 Sam Berens: The interactions between MS status, fatigue and WM parameters is interesting but, looking at your scatter plots, it seems there may be a little heteroscedasticity in the data... i.e., variance in the outcome is not independent of the predictors. Have you looked to see if these relationships are robust in models that do not rely on homoscedasticity as an assumption. 01:10:05 Sam Berens: Your welcome 01:11:38 Sam Berens: *You're . Just a sec 01:11:43 Sam Berens: Getting mic 01:12:29 Mara Cercignani: Sam, all the imaging statistics was done using permutation tests 01:12:45 Sam Berens: Ahhhh 01:12:51 Sam Berens: Sorry I missed that 01:13:11 Mara Cercignani: It might still be an issues 01:14:51 Sam Berens: Yes, it may be something to watch out for still. I think there are some generalised linear models that can formally account for heteroscedasticity but I have never used them before 01:15:18 Mara Cercignani: I’m sorry I have to go to my next meeting. Well done Iulia :-) 01:17:58 David Booth: Iulia can email me about this if she wants more detail - D.A.Booth at Sussex. Regarding one of your disconfounders, HADS confounds Affect with Mood: this matters because it's so popular. The Depression items are mostly absence of Good Mood, rather than presence of Bad Mood.

Zoom chat log: 00:13:07 Chris Racey: Welcome everyone! If you have questions/comments by all means write them in here. The chat will be saved and shared with Sam. There will be time for questions and discussion at the end 00:43:25 Alan Garnham: In relation to near vs far discrimination in a linear series, see lots of papers by George Potts. 00:50:00 Chris Bird: thanks alan 00:53:25 Alan Garnham: This work was used to argue that spatial mental models are structured differently from the sentences that describe them. The explanation was basically an encoding-based one - integration of information across sentences occurs as they are read, and then reading info off the integrated representation is aided by “spatial” separation. 00:58:30 Christiane Oedekoven: Thanks Sam, seeing the gold/wall structure task really took me back :) 01:07:57 Kiki Nikolaou: Thank you!

Zoom Chat Log: 13:00:56 From Mara Cercignani : Hello am I allowed in? :-) 13:04:11 From Chris Racey : You will always be welcome Mara :-) 13:07:19 From Chris Racey : Welcome everyone! If you have questions/comments by all means write them in here. The chat will be saved and shared with James. There will also be time for questions and discussion at the end. 13:09:16 From Eleanna Kritikaki : Mouse visible 13:18:40 From Andrew Penn : In the Rowland study, how soon after ketamine infusion were the measurements of Glutamine made? 13:27:17 From Mara Cercignani : how reliable is the quantification of Glu vs Gln ? 13:28:00 From Will Strawson : In what cortical regions was this please? (0 vs 2 back task) 13:29:30 From Eleanna Kritikaki : On these genotype studies : this refers to medicated post mortem patients, yes? 13:31:36 From Jamie Moffatt : Were responders and non-responders to antipsychotics matched on symptoms? 13:35:59 From Ruth Murrell-Lagnado : In the meta analysis, ketamine treatment for depression, what is it being compared to? No treatment or another treatment? 13:52:49 From Dai Stephens : NBQX lowers activity in its own right. will reduce activity in forced swim on its own 13:56:03 From Richard Whale : Thanks JAmes.. The GWAS studies in schizophrenia indicate v wide heterogeneity of aetiology so findings of Egerton '20 not surprising. Do these GWAS studies help direct future glutamate investigations?? 13:58:14 From Andrew Penn : Thanks for the talk James. I have another meeting now but we should meet (on zoom) and have a chat. We have some similar interests! 14:01:23 From Judith Pratt : Agree with Dai comments re Forced swim test. NMDA receptors are heterogeneous re receptor subtype composition. Is there any evidence that Ketamine and nor ketamine act at specific NMDA receptor subtypes ?

Zoom chat log: 00:10:01 Chris Racey: Welcome everyone! If you have questions/comments by all means write them in here. The chat will be saved and shared with Lucy. There will also be time for questions and discussion at the end. 00:28:15 Chris Bird: I have a question 00:29:51 Jamie Ward: I am guessing the different scale on the graphs isn't relevant? e.g. different conductance of electrodes for different people 00:33:13 Jamie Ward: Thanks. Its a cool method to know about 00:33:23 Chris Bird: agreed! 00:33:31 Alexa Morcom: Thanks for that - v interesting, I never understood these measures before :) 00:33:57 Sam Berens: Thank you 00:34:09 Sam Berens: Very interesting talk

Zoom chat log: 12:59:47 From Sam Berens : Preprint: www.biorxiv.org/content/10.1101/547976v7 Data and analyses: osf.io/cgy97/ Poster: www.samberens.co.uk/Docs/BNA2019-Poster_Berens-et-al.pdf Follow along at home: www.samberens.co.uk/A.html www.samberens.co.uk/B.html www.samberens.co.uk/C.html www.samberens.co.uk/D.html www.samberens.co.uk/E.html 13:03:27 From Chris Racey : Welcome everyone! If you have questions/comments by all means write them in here. The chat will be saved and shared with Sam. There will also be time for questions and discussion. 13:59:46 From Ediz Sohoglu : Great talk Sam 13:59:48 From Charlotte Rae : Thank you! 13:59:53 From Rebecca Atkinson : thanks!

Zoom Chat Log: 00:06:33 Hao-Ting Wang: yeah 00:07:31 Chris Racey: Welcome everyone! If you have questions/comments by all means write them in here. The chat will be saved and shared with Maxine. There will also be time for questions and discussion 00:19:48 Sam Berens: Really cool stuff. Can you expand on why the difference in bias did not come out when using L2? 00:19:59 Chris Bird: i have a question 00:19:59 Sam Berens: * Euclidian distance 00:20:01 Sophie Forster: Nice talk thank you! I have some question 00:20:47 Ewan Radmall: What wider implications and applications do you have for this research? 00:20:48 Jamie Ward: In your graphs of correlation what does each data point represent? Is it each stimulus? 00:31:56 Zoltan Dienes: nice theory-driven pre-reged Bayes-factored work!! 00:32:34 Sam Berens: Very cool stuff. Did you try or consider doing it as a formal registered report? 00:35:28 Charlotte Rae: Such a useful example of fMRI pre-reg, thank you! 00:35:43 Sophie Forster: yes thank you! v useful 00:35:51 Hao-Ting Wang: Great talk" 00:36:04 Anil Seth: Great talk Maxine :-) 00:39:47 Maxine Sherman: thanks everyone! going to go through answering the qs now: 00:41:03 Maxine Sherman: From Sam Berens to Everyone: (1:26 pm) 
Very cool stuff. Did you try or consider doing it as a formal registered report? @ sam, thanks :) we would have, but the project was run under massive grant time pressure (we actually overran anyway). So there was no time to do it as an RR unfortunately. Definitely think RR is the way to go though. It’s too easy to pre-register nonsense or pre-register analyses reviewers will disagree with otherwise 00:42:14 Sam Berens: Thanks Maxine! Yes, I wondered whether a RR would have taken too long 00:43:09 Maxine Sherman: In your graphs of correlation what does each data point represent? Is it each stimulus? @jamie, ah I should have explained, sorry. There were >2000 data points and it’s a small correlation, so to visualise the result I binned trials according to the human bias (so into quantiles), and then on the y axis it’s the mean model bias for that quantile. That was just for the figure, to show there’s a relationship. The states were done on unbinned data 00:44:40 Maxine Sherman: What wider implications and applications do you have for this research? @ ewan - warrick and zap bring in memory here (memory would be needed to actually accumulate salient events, especially for very long epochs), and then it all gets super interesting www.biorxiv.org/content/10.1101/2020.02.17.953133v1 00:44:45 Maxine Sherman: zaf* 00:45:32 Ewan Radmall: Thank You very much! Great talk : 00:46:50 Sam Berens: Nick: Does that mean that the Patlak model cannot account for the decay in the signal?

Zoom chat log: 12:58:09 From Bird lab : Flavia, Petar and me (CB) are in a seminar room watching 12:58:18 From Bird lab : but don't have a camera or mic 12:59:01 From Matt P : Haha, ok, hi everyone! :D 13:04:32 From Chris Racey : Welcome everyone! If you have questions/comments by all means write them in here. The chat will be saved and shared with Matt. There will also be time for questions and discussion in the middle and at the end (the talk is in two parts) 13:18:41 From Rebecca Atkinson : Could you enable the subtitles please Chris? My audio keeps cutting out. Everyone should be able to individually turn them off if they're irritating :) 13:19:11 From Rebecca Atkinson : thank you! 13:19:44 From Chris Racey : you're welcome, i hope it's errors aren't too distracting :-) 13:39:50 From Bird lab : I've got a question 13:44:30 From Andy Clark : I’ve got one (it’s Alexa here) 13:49:37 From Bird lab : Thanks Matt! 13:49:43 From Arianna Moccia : Good talk! Thanks Matt

Zoom chat log: 13:03:26 From Chris Racey : Welcome everyone! If you have questions/comments by all means write them in here. The chat will be saved and shared with Ivor. There will also be time for questions and discussion at the end 13:18:36 From Sam Berens : You mentioned that the determinant of the Jacobian can be used to infer the amount of local stretching/squishing... Can use the derivatives in the Jacobian themselves to make an inference about a subject’s individual anatomy? Perhaps you have to have a very specific (restrictive) hypothesis? 13:23:03 From whs shw : What was lambda again please? 13:23:47 From Chris Racey : Lambda was the free parameter describing the degree of regularization 13:23:59 From whs shw : Ahhh cheers Chris 13:49:43 From Sam Berens : When you use a GAN to warp brain data, would you have to constrain the model in some way to ensure spatial smoothness, or does the discriminator do this for you? 13:54:19 From Mara Cercignani : I have a question 13:55:24 From Charlotte Rae : Q about smoothing 13:58:46 From Hao-Ting Wang : I have a questio to follow charlotte up 14:03:35 From whs shw : Thanks!