João Rocha 🧠

Psychologist | Lab Manager at @cogneuroufmg | MsC student at @UFMG - @facmedicinaufmg | Pround 🇧🇷 🔺 | He/Ele 🏳️‍🌈

[Lea T. Grinberg, M.D, Ph.D @grinberg_t]

🇧🇷🧠 A força da ciência brasileira em peso no #AAIC2025!
Mais de 100 clínicos e pesquisadores reunidos mostrando o impacto do Brasil na luta contra as #demências.
Orgulho, conhecimento e colaboração transbordando! 💪✨
@ISTAART @CaramelliPaulo @zimmerlab1

[Alzheimer's Association @alzassociation]

📣 Today is a turning point in what we know about brain health.

The results from the U.S. POINTER trial provide the rigorous data needed to say with confidence that healthy behaviors can meaningfully protect brain health across diverse populations in the U.S.

The findings, shared for the first time today at #AAIC25, tested lifestyle programs that simultaneously targeted risk factors. The programs focused on:

✅👟Aerobic exercise
✅🧠Cognitive engagement
✅🥗Nutrition
✅🫀Health Monitoring

U.S. POINTER is the largest research commitment the Association has made in its history. The landmark results are testament to our commitment to our mission. Thank you to the study participants, our community, our donors, and the staff who made these findings possible.

https://t.co/RDqYXQl0Kq

[Maria Celeste López Moreno @CeleLopezMoreno]

⚠️ @ISTAART @CognitionPia offers accomodation fellowships to attend to the "Iniciatives for the Prevention, Early Detection and Care of Dementia" during
two important scientific events in Arg 🇦🇷 @AACC_ok
and @sonepsa

📩 For more information 👉🏻
[email protected]

[Paulo Caramelli @CaramelliPaulo]

Nessa edição do programa Saúde com Ciência conversamos sobre prevenção de demência/doença de Alzheimer. Agradeço o espaço oferecido pela Comunicação da @medufmg para discutir este tema de grande relevância para a saúde pública.
https://t.co/wJ3rOo1WEe
@ufmg
@cogneuroufmg

[News from Science @NewsfromScience]

Brazil has long been recognized as one of the most genetically diverse countries in the world.

Now, the largest genomic study of the Brazilian population to date is painting a clearer picture of how that diversity came to be. https://t.co/19nJBLZ0A2

[Selçuk Korkmaz @selcukorkmaz]

If you care about doing real science, reproducibility is not optional. It is the foundation. Here is how I approach it in my own health and bioscience research.

First, plan everything upfront. Write down your main question, how you will measure outcomes, what you will include and exclude, and how you will analyze the data. Pre-register this plan publicly. I use platforms like OSF or https://t.co/RTPtNWxJbj. If possible, submit a Registered Report, where your methods are peer-reviewed before you even collect data. It is one of the best ways to keep yourself honest.

Randomization and blinding are critical. Randomly assign your samples or animals. Blind yourself and your team during both the experiment and the analysis. Bias is sneaky. You will not even notice it unless you plan ahead to block it.

Make sure your study is properly powered. Underpowered studies waste time and resources and cannot give you real answers. Always calculate the needed sample size before you start. Think carefully about things like clustering or multiple comparisons.

Use validated materials. Buy certified standards, use reagents with RRIDs, and always run positive and negative controls. If something goes wrong, record it immediately in an electronic lab notebook. Do not rely on memory. Good documentation is part of good science.

While you are working, follow the reporting guidelines that match your study. If you are doing a clinical trial, follow CONSORT. If you are doing animal work, use ARRIVE. If it is an observational study, STROBE is your guide. I recommend writing your paper as you go. The checklists show you what information you need to record now, before it is lost.

From the very beginning, plan to share your data in a FAIR way. That means making it findable, accessible, interoperable, and reusable. Choose a good public repository like GEO or Dryad. Save all your metadata too, like instrument settings, units, calibration files, and codebooks.

For analysis, use version control. Save your code on GitHub or similar platforms. Lock your software environment using tools like Docker. Use reproducible workflows like Snakemake or Nextflow. Always aim to make it possible for someone else to rerun your entire analysis from start to finish without contacting you.

Be fully transparent in your results. Report effect sizes with confidence intervals, not just p-values. Always show the raw data if possible. Dot plots and raw curves reveal things that averages can hide.

Replicate your key findings within your own lab. Repeat assays. Run biological replicates. Do not just assume one result is enough.

Whenever you can, send samples to an outside lab to confirm your findings independently. Share your plasmids, cell lines, and antibodies through places like Addgene and ATCC. Register your materials with RRID numbers to make them easier to track.

Share your work early. Post preprints. Choose journals that allow transparent peer review. Be open to feedback, even when it is uncomfortable. Catching mistakes early is much better than issuing corrections after publication.

Train your team to value rigor. Teach statistics, reproducibility, and good lab practices. Reward careful work, not just flashy results. Make it clear that good science is a team effort, and everyone is responsible for getting it right.

Finally, audit your own work regularly. Set up systems to catch errors. Double-check your notebooks, data files, and analysis scripts. Make small corrections along the way rather than waiting for problems to explode.

This is not about checking boxes. It is about building trust. In yourself, in your results, and in the scientific community.

This is how we move science forward.

[Paulo Caramelli @CaramelliPaulo]

I feel very pleased and honored to work with @joannepikedrph, @lennyshallcross, members and trustees of the @WorldDementia to place dementia as global health priority, including in low- or middle-income countries where 2/3 of people with dementia currently live.

[Reserve, Resilience and Protective Factors PIA @ReservePIA]

We want to hear from you! The #ReservePIA is preparing for our 2025 Year in Review webinar (1/9 10am CT), where we will showcase highlighted research from 2024 and discuss future directions for the field. Please submit suggestions for research here: https://t.co/TzCGSttpMA

[Elisa Resende @Elisa_Resende_]

In preparation for the @ReservePIA year in review webinar in January, we are compiling the most important papers published last year about 🧠 reserve and resilience. Please, consider helping us finding the papers by completing the survey https://t.co/NUaY82FL2c

[João Rocha 🧠 @callmejohnbrz]

@MathDeSousa @trembase Compro! me chama no prinvado ou insta

[Maude W @maude_wagner2]

🙌 @DesignDataPIA & @ReservePIA offer you a unique "#Resilience in #CognitiveAging" Webinar Series! Join us if you can 😎

Registration
DEC 6 👉 https://t.co/KcEUQIBdby
DEC 11 👉 https://t.co/8JbrGoIrAC

@ytquiroz @ERogalskiPhD @RoreBole @ArenazaEider @DrAnaCapuano @DBartres_Faz

[Jet M.J. Vonk, PhD PhD @JetMJVonk]

Our new @theJCEN paper led by Dr Grebe reviewed 13 studies of cognitive reserve in frontotemporal #dementia, highlighting variability in results & recommending longitudinal designs, in-depth neuropsych, consistent measures, and transparant output reporting https://t.co/iX0VOb9AhD

[Paulo Caramelli @CaramelliPaulo]

Alzheimer's disease as a clinical-biological construct - IWG 2024 Recommendations.

[Wyllians Borelli @vbwyll]

Wanna hear about blood-based biomarkers in LMIC and their clinical implementation?

Check our webinar hosted by @ISTAART PIA Real World Translation Work Group.

👇

[Paige L 🧠 @_paigely]

🧠It's not too late to submit your abstract to #AAICNeuro!

Abstracts can be updated research or already published.

🌐Reach more people and expand your network.

Travel fellowships will be offered to attend hybrid hubs in person!

👉https://t.co/O0SFyzh18s

[CogNeuro_UFMG @cogneuroufmg]

Highlights do @cogneuroufmg no XXXI Congresso Brasileiro de Neurologia em Campinas! Foram dias intensos de aprendizado, atualizações e conexões. Nosso agradecimento especial a todos os colegas que acompanharam nossas apresentações. Nos vemos em 2025 na #RPDA!

[Maude W @maude_wagner2]

🌟 Many thanks to Prof. Lars Nyberg, director of @UmeaBrain, for his inspiring talk highlighting the importance of longitudinal research to characterize SuperAgers. And thank you to @DBartres_Faz for moderating! 🤗

@DesignDataPIA
@ReservePIA
@DrAnaCapuano
@ArenazaEider

[Juan Camilo Becerra-Mateus @JCBec11]

David Fernando Aguillón: el heredero de Francisco Lopera en la lucha contra el Alzheimer por @elcolombiano

https://t.co/9NABLKweuD

[Sára Zsadányi 🧠 @SaraZsadanyi]

In our recent paper on microbleeds in individuals wtih #Downsyndrome and #AlzheimersDisease, some of our findings were increased prevalence compared to controls, and an increase with age.

More info at the @SantPauMemory website: https://t.co/TkmQ6yEWp6

[Reserve, Resilience and Protective Factors PIA @ReservePIA]

This is the first webinar of our ongoing "Resilience in Cognitive Aging" webinar series with the @DesignDataPIA. Save these dates for future webinars as part of this series: Friday 12/6 at 10am ET and Wednesday 12/11 at 11am ET. 🗓️🧠