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. 2025 Oct 23:121554.
doi: 10.1016/j.neuroimage.2025.121554. Online ahead of print.

Image-Based Meta- and Mega-Analysis (IBMMA): A Unified Framework for Large-Scale, Multi-Site, Neuroimaging Data Analysis

Nick Steele  1 Ashley A Huggins  2 Rajendra A Morey  1 Ahmed Hussain  1 Courtney Russell  1 Benjamin Suarez-Jimenez  3 Elena Pozzi  4 Hadis Jameei  5 Lianne Schmaal  4 Ilya M Veer  6 Lea Waller  7 Neda Jahanshad  8 Sophia I Thomopoulos  8 Lauren E Salminen  8 Miranda Olff  9 Jessie L Frijling  10 Dick J Veltman  11 Saskia B J Koch  12 Laura Nawijn  13 Mirjam van Zuiden  14 Li Wang  15 Ye Zhu  15 Gen Li  15 Dan J Stein  16 Jonathan Ipser  16 Yuval Neria  17 Xi Zhu  17 Orren Ravid  18 Sigal Zilcha-Mano  19 Amit Lazarov  20 Jennifer S Stevens  21 Kerry Ressler  22 Tanja Jovanovic  23 Sanne J H van Rooij  21 Negar Fani  21 Sven C Mueller  24 Anna R Hudson  24 Judith K Daniels  25 Anika Sierk  26 Antje Manthey  26 Henrik Walter  26 Nic J A van der Wee  27 Steven J A van der Werff  27 Robert R J M Vermeiren  28 Christian Schmahl  29 Julia I Herzog  29 Ivan Rektor  30 Pavel Říha  31 Milissa L Kaufman  32 Lauren A M Lebois  33 Justin T Baker  34 Isabelle M Rosso  35 Elizabeth A Olson  35 Anthony King  36 Israel Liberzon  37 Michael Angstadt  36 Nicholas D Davenport  38 Seth G Disner  38 Scott R Sponheim  39 Thomas Straube  40 David Hofmann  40 Guangming Lu  41 Rongfeng Qi  42 Xin Wang  43 Austin Kunch  43 Hong Xie  43 Yann Quidé  44 Wissam El-Hage  45 Shmuel Lissek  46 Hannah Berg  46 Steven E Bruce  47 Josh Cisler  48 Marisa Ross  49 Ryan J Herringa  50 Daniel W Grupe  51 Jack B Nitschke  52 Richard J Davidson  53 Christine Larson  54 Terri A deRoon-Cassini  55 Carissa W Tomas  56 Jacklynn M Fitzgerald  57 Jeremy Elman  58 Matthew Panizzon  59 Carol E Franz  60 Michael J Lyons  61 William S Kremen  62 Brandee Feola  63 Jennifer U Blackford  64 Bunmi O Olatunji  65 Geoffrey May  66 Steven M Nelson  67 Evan M Gordon  68 Chadi G Abdallah  69 Ruth Lanius  70 Maria Densmore  71 Jean Théberge  71 Richard W J Neufeld  71 Paul M Thompson  8 Delin Sun  72
Affiliations
Free article

Image-Based Meta- and Mega-Analysis (IBMMA): A Unified Framework for Large-Scale, Multi-Site, Neuroimaging Data Analysis

Nick Steele et al. Neuroimage. .
Free article

Abstract

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.

Keywords: Big Data; Mega-analysis; Meta-analysis; Neuroimaging; PTSD; Resting-state fMRI.

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Conflict of interest statement

Declaration of competing interest Christian Schmahl is consultant for Boehringer Ingelheim International GmbH. Lauren Lebois reports unpaid membership on the Scientific Committee for the International Society for the Study of Trauma and Dissociation (ISSTD), grant support from the National Institute of Mental Health, K01 MH118467, and spousal IP payments from Vanderbilt University for technology licensed to Acadia Pharmaceuticals unrelated to the present work. Wissam El-Hage reports associations with Air Liquide, CHUGAI, EISAI, Jazz Pharmaceuticals, Janssen, Lundbeck, Otsuka, UCB. None related to this work. Richard Davidson is the founder and president of, and serves on the board of directors for, the non-profit organization Healthy Minds Innovations, Inc. Chadi Abdallahhas served as a consultant, speaker and/or on advisory boards for FSV7, Lundbeck, Psilocybin Labs, Genentech, and Janssen; served as editor of Chronic Stress for Sage Publications, Inc; and filed a patent for using mTOR inhibitors to augment the effects of antidepressants (filed on August 20, 2018). The remaining co-authors have no declarations.

Update of

  • Image-Based Meta- and Mega-Analysis (IBMMA): A Unified Framework for Large-Scale, Multi-Site, Neuroimaging Data Analysis.
    Steele N, Morey RA, Hussain A, Russell C, Suarez-Jimenez B, Pozzi E, Jameei H, Schmaal L, Veer IM, Waller L, Jahanshad N, Thomopoulos SI, Salminen LE, Olff M, Frijling JL, Veltman DJ, Koch SBJ, Nawijn L, van Zuiden M, Wang L, Zhu Y, Li G, Stein DJ, Ipser J, Neria Y, Zhu X, Ravid O, Zilcha-Mano S, Lazarov A, Huggins AA, Stevens JS, Ressler K, Jovanovic T, van Rooij SJH, Fani N, Mueller SC, Hudson AR, Daniels JK, Sierk A, Manthey A, Walter H, van der Wee NJA, van der Werff SJA, Vermeiren RRJM, Schmahl C, Herzog JI, Rektor I, Říha P, Kaufman ML, Lebois LAM, Baker JT, Rosso IM, Olson EA, King A, Liberzon I, Angstadt M, Davenport ND, Disner SG, Sponheim SR, Straube T, Hofmann D, Lu G, Qi R, Wang X, Kunch A, Xie H, Quidé Y, El-Hage W, Lissek S, Berg H, Bruce SE, Cisler J, Ross M, Herringa RJ, Grupe DW, Nitschke JB, Davidson RJ, Larson C, deRoon-Cassini TA, Tomas CW, Fitzgerald JM, Elman J, Panizzon M, Franz CE, Lyons MJ, Kremen WS, Feola B, Blackford JU, Olatunji BO, May G, Nelson SM, Gordon EM, Abdallah CG, Lanius R, Densmore M, Théberge J, Neufeld RWJ, Thompson PM, Sun D. Steele N, et al. bioRxiv [Preprint]. 2025 Jun 17:2025.06.16.657725. doi: 10.1101/2025.06.16.657725. bioRxiv. 2025. Update in: Neuroimage. 2025 Oct 23:121554. doi: 10.1016/j.neuroimage.2025.121554. PMID: 40667083 Free PMC article. Updated. Preprint.

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