Erick Almeida

Medical physicist • MSc. (University of São Paulo)

[Erick Almeida @almeidonis]

I'm very happy to announce my first lead-author paper published in Intelligence: "fMRI functional connectivity is a better predictor of general intelligence than cortical morphometric features and ICA parcellation order affects predictive performance" 1/7 https://t.co/USik3aQsl9

[UK Biobank @uk_biobank]

100,000 Participants scanned ✅

We are delighted to have completed the world's largest whole body imaging project, scanning the brains, hearts, abdomens, blood vessels, bones and joints of 100,000 volunteers.

[Bryan Johnson @bryan_johnson]

Deep sleep is one of the most power things you can do for heath and wellness.

Missing it is very bad.

Here's how you can get it.

🧵

[Erick Almeida @almeidonis]

Tenho percebido muita gente no meu ciclo reclamando da memória... Você sente que que a sua memória (em geral) nos últimos 3 anos...

[Anil Seth @anilkseth]

Being You is now out in Portuguese 🇵🇹 😎 - já está disponível em português: A Criação do Eu - o livro mais vendido sobre consciência, percepção e eu https://t.co/hOHJb8ggkF

[Erick Almeida @almeidonis]

@PedroHirota Aí simm, bora comemorar 🎉👏🏼

[Jonathan Vicente @jonathanvicent]

Nos próximos dias, teremos uma das maiores ondas de calor já registradas, e isso pode afetar a saúde de forma drástica. Uma das condições mais famosas é o heatstroke, condição grave que pode ocorrer quando a temperatura corporal fica acima de 40⁰ devido a exposição ao sol. 🌱🧵

[InBrain Lab @InbrainL]

Não fique de fora de apresentar seu trabalho!!! Faltam apenas 1 dia para o encerramento das Submissões de Resumos, garanta já sua apresentação nesse evento incrível!
ℹ Mais informações disponíveis no site:
https://t.co/UK8iUDUlHx

[Imaging Neuroscience @ImagingNeurosci]

New paper in Imaging Neuroscience @mitpress by Bingxin Zhao, Hongtu Zhu et al:

An atlas of trait associations with resting-state and task-evoked human brain functional organizations in the UK Biobank

https://t.co/GmTlUI4WRu

[InBrain Lab @InbrainL]

🌟Temos o prazer de anunciar a abertura das inscrições para o XI Simpósio de Instrumentação e Imagens Médicas!🌟
ℹ Mais informações disponíveis no site:
https://t.co/UK8iUDUlHx
Instagram
https://t.co/zKiTQwh8jV

[André Paschoal @paschoal_am]

Interested in developing MRI methods to study the brain clearance mechanisms and the glymphatic system?

I have an open PhD position in my group. See more details below:

https://t.co/K8IeOGe6bs

[Erick Almeida @almeidonis]

Very importantly, this work was mostly conducted in @InbrainL 🧠

[Erick Almeida @almeidonis]

I'm very happy to announce my first lead-author paper published in Intelligence: "fMRI functional connectivity is a better predictor of general intelligence than cortical morphometric features and ICA parcellation order affects predictive performance" 1/7 https://t.co/USik3aQsl9

[Erick Almeida @almeidonis]

The development of this study was only possible thanks to the hard work of all authors, including Steléphanie A. Silva, @HeblingVieira and Carlos E. G. Salmon. 2/7

[Erick Almeida @almeidonis]

Citation: https://t.co/P8rVe2IZfB

[Erick Almeida @almeidonis]

In summary, using static functional connectivity derived from an ICA-based parcellation of 25 components as input to a regularized regression model (Elastic-Net), as in Dubois et al. (2018), we were able to predict 17,5% of the general intelligence variance. 3/7

[Erick Almeida @almeidonis]

Also, we explored ICA parcellations with different dimensions (15, 25 and 50 components) and observed that the ICA model order substantially affects predictive performance. 7/7

[Erick Almeida @almeidonis]

When exploring the predictive power of the ICA components individually, we observed that there was no network with emphasized importance. Which suggests that intelligence functional information is well distributed in the brain. 6/7

[Center for Cognitive Neuroscience Berlin @CCNBerlin]

New big EEG dataset alert!

Gifford et al. @CCNBerlin @fupsych @FU_Berlin released on @NeuroImage_EiC a large and rich (10 subjects, 16,740 images, 82,160 trials per subject) EEG data set for modeling visual object recognition. https://t.co/BWvYzNCmWA