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NeuroImage · 2025

Image-based meta- and mega-analysis (IBMMA): A unified framework for large-scale, multi-site, neuroimaging data analysis.

СтатьяПоддержка NIH: внешняя программаПоддержка правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Steele Nick, Huggins Ashley A, Morey Rajendra A, Hussain Ahmed, Russell Courtney, Suarez-Jimenez Benjamin, Pozzi Elena, Jameei Hadis, Schmaal Lianne, Veer Ilya M, Waller Lea, Jahanshad Neda, Thomopoulos Sophia I, Salminen Lauren E, Olff Miranda, Frijling Jessie L, Veltman Dick J, Koch Saskia B J, Nawijn Laura, van Zuiden Mirjam, Wang Li, Zhu Ye, Li Gen, Stein Dan J, Ipser Jonathan, Neria Yuval, Zhu Xi, Ravid Orren, Zilcha-Mano Sigal, Lazarov Amit, Stevens Jennifer S, Ressler Kerry, Jovanovic Tanja, van Rooij Sanne J H, Fani Negar, Mueller Sven C, Hudson Anna R, Daniels Judith K, Sierk Anika, Manthey Antje, Walter Henrik, van der Wee Nic J A, van der Werff Steven J A, Vermeiren Robert R J M, Schmahl Christian, Herzog Julia I, Rektor Ivan, Říha Pavel, Kaufman Milissa L, Lebois Lauren A M, Baker Justin T, Rosso Isabelle M, Olson Elizabeth A, King Anthony, Liberzon Israel, Angstadt Michael, Davenport Nicholas D, Disner Seth G, Sponheim Scott R, Straube Thomas, Hofmann David, Lu Guangming, Qi Rongfeng, Wang Xin, Kunch Austin, Xie Hong, Quidé Yann, El-Hage Wissam, Lissek Shmuel, Berg Hannah, Bruce Steven E, Cisler Josh, Ross Marisa, Herringa Ryan J, Grupe Daniel W, Nitschke Jack B, Davidson Richard J, Larson Christine, deRoon-Cassini Terri A, Tomas Carissa W, Fitzgerald Jacklynn M, Elman Jeremy, Panizzon Matthew, Franz Carol E, Lyons Michael J, Kremen William S, Feola Brandee, Blackford Jennifer U, Olatunji Bunmi O, May Geoffrey, Nelson Steven M, Gordon Evan M, Abdallah Chadi G, Lanius Ruth, Densmore Maria, Théberge Jean, Neufeld Richard W J, Thompson Paul M, Sun Delin

Аннотация

The increasing scale and complexity of neuroimaging datasets aggregated from multiple study sites present substantial analytic challenges, as existing statistical analysis tools struggle to handle missing voxel-data, suffer from limited computational speed and inefficient memory allocation, and are restricted in the types of statistical designs they are able to model. We introduce Image-Based Meta- & Mega-Analysis (IBMMA), a novel software package implemented in R and Python that provides a unified framework for analyzing diverse neuroimaging features, efficiently handles large-scale datasets through parallel processing, offers flexible statistical modeling options, and properly manages missing voxel-data commonly encountered in multi-site studies. IBMMA successfully analyzed a large-n dataset of several thousand participants and revealed findings in brain regions that some traditional software overlooked due to missing voxel-data resulting in gaps in brain coverage. IBMMA has the potential to accelerate discoveries in neuroscience and enhance the clinical utility of neuroimaging findings.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты