Bin Wan

PhD candidate @MPI_CBS | Data Science in Health and Brain | more active here:

[Bin Wan @wanb_psych]

Thanks for the reviewers and collaborations with @amnsbr Casey @hlschaare @MeikeHettwer @J_Royer_ @John_Alexandra_ @lenadorfschmidt Şeyma @rai_bethlehem @INM7_ISN Boris & @sofievalk

[Bin Wan @wanb_psych]

Thrilled to share my latest work "Microstructural asymmetry in the human cortex" now out in @NatureComms. This work used cytoarchitecture (BigBrain), T1w/T2w, qT1, and MT measures to bring the cortical asymmetry from macrostructure to microstructure. https://t.co/aquZNwQ46E

[Bin Wan @wanb_psych]

Finally, microstructural findings are not influenced by cortical thickness. (6/6)

[Bin Wan @wanb_psych]

Fifth, we used MICs qT1 and NSPN MT data and found similar asymmetry patterns. All analysis scripts are on GitHub: https://t.co/ywKFYIjGXh (5/6)

[Bin Wan @wanb_psych]

@DvdM33r nice work

[Dennis van der Meer @DvdM33r]

New preprint! Strong genetic overlap between severe mental disorders and blood metabolic markers. Fascinating patterns: opposite effect directions of the markers on major depression versus bipolar disorder and schizophrenia. https://t.co/H0kCsWi0Wy. #metabolicpsychiatry

[🧬Jacob L Steenwyk @jlsteenwyk]

Agreed! That's why I wrote ggpubfigs, a ggplot2 extension that *only colorblind-friendly color palettes.

Easily make your figures colorblind-friendly with ggpubfigs! https://t.co/frQgsl7zjP

[Neville Magielse @nevillemagielse]

Our (@k__manoli @INM7_ISN @amnsbr @sofievalk) study mapping the cerebellar behavioural topography & introducing a cerebellum-adapted method of activation likelihood estimation (ALE), is out now on bioRxiv! Find it here: https://t.co/2MzBc09EVY. A thread 🧵 1/18

[Bin Wan @wanb_psych]

@aitchbi @_JakeVogel_ @anders_s_olsen @jchrispang @teanijarv @EStomrud @SebastianPalmqv @NicolaSpotorno @RikOssenkoppele @dvdevill @OskarHansson9 nice work!

[harry h behjat @aitchbi]

Cortical maps manifest hemispheric asymmetry in various forms and scales.

Our attempt to unveil them through 🧠 eigenmodes: https://t.co/PjUohkYgIj

Work led by Alicia Milloz✨

[Nathan Cloos @nacloos]

⁉️What do model-neural similarity scores tell us?

To systematically explore this for different metrics, we develop new numerical tools & analytics to characterize what drives similarity scores and what constitutes a "good" score. (1/10)

[Amin Saberi @amnsbr]

Convergent functional effects of antidepressants in major depressive disorder: a neuroimaging meta-analysis
https://t.co/lzY4haZuyd

New paper @molpsychiatry 🎉

🧵⤵️
1/

[Andreas Horn @andreashorn_]

Fantastic, authoritative & comprehensive ‘roadmap’ article out in @NatRevNeurosci by Segobin et al. about in vivo segmentation of the thalamus.

https://t.co/h9qWnJ03cw

[Bin Wan @wanb_psych]

@JustineYHansen Justine 🥳🥳🥳

[Michael Winding @WindingMichael]

Looking for a PhD position in comparative connectomics? Apply for a joint-supervised position, with myself and @neuroluci.

The aim is to understand how circuits evolve by comparing whole-brain connectomes of fruit fly species. Apply for Project #2 here:
https://t.co/66aCUopfNE

[Faheem Ullah @Faheem_uh]

PhD students — Do these 10 things in the first year of your PhD.

With this, 90% of your PhD problems will disappear.

𝟏. 𝐍𝐚𝐫𝐫𝐨𝐰 𝐝𝐨𝐰𝐧 𝐲𝐨𝐮𝐫 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐭𝐨𝐩𝐢𝐜: Many PhD students struggle to narrow down their research topic to a concrete research gap. Learn how to perform a gap analysis. Read more secondary studies. Make sure that you don't end up doing something that already exists.

𝟐. 𝐃𝐞𝐯𝐞𝐥𝐨𝐩 𝐚 𝐠𝐨𝐨𝐝 𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐫𝐞𝐥𝐚𝐭𝐢𝐨𝐧𝐬𝐡𝐢𝐩 𝐰𝐢𝐭𝐡 𝐲𝐨𝐮𝐫 𝐬𝐮𝐩𝐞𝐫𝐯𝐢𝐬𝐨𝐫𝐬: Understand how your supervisors work. If they expect something in a written form in each meeting, make sure to follow accordingly. Learn the best communication ways and clarify expectations.

𝟑. 𝐃𝐞𝐯𝐞𝐥𝐨𝐩 𝐜𝐨𝐫𝐞 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐬𝐤𝐢𝐥𝐥𝐬 𝐚𝐧𝐝 𝐡𝐚𝐛𝐢𝐭𝐬: Certain skills and habits are quite common across all types of research. For example, how to read a research paper, how to be consistent, and how to do a literature review. Develop them as early as possible.

𝟒. 𝐏𝐮𝐛𝐥𝐢𝐬𝐡 𝐨𝐫 𝐚𝐭 𝐥𝐞𝐚𝐬𝐭 𝐬𝐮𝐛𝐦𝐢𝐭 𝐨𝐧𝐞 𝐩𝐚𝐩𝐞𝐫: This will really help you in the confirmation of your candidature if you have a paper published or at least submitted. Try to publish as soon as possible. If it happens, it will give a big boost to your confidence level.

𝟓. 𝐌𝐚𝐤𝐞 𝐚 𝐩𝐥𝐚𝐧 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫 𝐦𝐞𝐧𝐭𝐚𝐥 𝐚𝐧𝐝 𝐩𝐡𝐲𝐬𝐢𝐜𝐚𝐥 𝐡𝐞𝐚𝐥𝐭𝐡: The early you understand the importance of your mental and physical health in your PhD, the better it is for you. Don't think that if you never exercised before, you don't need it in your PhD either. You do need it.

𝟔. 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐲 𝐤𝐞𝐲 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐫𝐬, 𝐜𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬, 𝐚𝐧𝐝 𝐣𝐨𝐮𝐫𝐧𝐚𝐥𝐬: Once your gap research a matured level, start identifying and following the most relevant researchers, conferences, and journals. This will help to be updated and understand the expectations.

𝟕. 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐲 𝐭𝐡𝐞 𝐬𝐤𝐢𝐥𝐥𝐬 𝐲𝐨𝐮 𝐚𝐫𝐞 𝐥𝐚𝐜𝐤𝐢𝐧𝐠: Within 6 months or so into your PhD, start reflecting on what skills I am lacking. These skills could include networking, collaborations, presentation, and so on. Start developing them from there on.

𝟖. 𝐃𝐨 𝐧𝐨𝐭 𝐭𝐞𝐚𝐜𝐡 𝐭𝐨𝐨 𝐦𝐮𝐜𝐡: Some students take too much teaching load right away. Don't do it. It will impact your PhD progress. Once your PhD path is laid out, then you can teach in the later years.

𝟗. 𝐃𝐨 𝐧𝐨𝐭 𝐭𝐚𝐤𝐞 𝐢𝐭 𝐭𝐨𝐨 𝐞𝐚𝐬𝐲: Some students start in a very relaxed way - oh I have a lot of time. Start it with a full swing as later you might not be as energetic as you might be at the start. The first year is the most crucial year. Start it well and your life will be easy later.

𝟏𝟎. 𝐅𝐢𝐧𝐝 𝐝𝐢𝐫𝐞𝐜𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫𝐬𝐞𝐥𝐟: At the start, most of the PhD students are directionless - what to do, what's going on, days are passing by, and I am not doing anything. Learn how to find your way forward right from the start.

Anything you'd like to add?