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slug: tutorials-updates | ||
title: New tutorials and updates | ||
authors: alejandro | ||
tags: [hello, neurosynth] | ||
--- | ||
Dear Neurosynth Community, | ||
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I'm excited to announce important updates to *Neurosynth Compose*: A free and open platform for neuroimaging meta-analysis. | ||
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First, we have added some easy to follow [tutorials](../tutorial) to our documentation, making it easy to become familiar with our platform. | ||
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The tutorials cover two main uses cases we support: Manual and Automated Meta-analyses. Our platform make gold-standard *manual* meta-analyses much easier, by leveraging pre-extracted imaging data | ||
and streamline user interfaces. Automated meta-analyses are ideal for generating exploratory results rapidly, enabling meta-analysis as part of routine scientific practice. | ||
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We've also made many small but important updates to our platform, including significant performance updates and improvements to the user interface. | ||
*Neurosynth Compose* is now more intuitive and easier to use. Give it a try by following our [manual meta-analysis tutorial](../tutorial/manual). | ||
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We also have some exciting new features in the pipeline that we'll release in early 2024 including: | ||
* Image-based Meta-Analysis (IBMA). Soon, you will be able to use NeuroVault data as inputs for IBMA-- a more powerful and sensitive alternative to Coordinate Based Meta-Analysis. | ||
* Advanced data extraction using Large Language Models (GPT). Early protypes to extract detailed information (such as participant demographics) from neuroimaging articles using LLMs | ||
have shown promise. We are working on incorporating these workflows into *Neurosynth Compose*, making it even easier to identify relevant studies for meta-analysis. | ||
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We look forward to your feedback! | ||
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-Alejandro |