Skip to main page content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2019 Oct;13(5):1453-1467.
doi: 10.1007/s11682-018-9941-x.

A Resting State fMRI Analysis Pipeline for Pooling Inference Across Diverse Cohorts: An ENIGMA rs-fMRI Protocol

Affiliations
Free PMC article
Meta-Analysis

A Resting State fMRI Analysis Pipeline for Pooling Inference Across Diverse Cohorts: An ENIGMA rs-fMRI Protocol

Bhim M Adhikari et al. Brain Imaging Behav. .
Free PMC article

Abstract

Large-scale consortium efforts such as Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) and other collaborative efforts show that combining statistical data from multiple independent studies can boost statistical power and achieve more accurate estimates of effect sizes, contributing to more reliable and reproducible research. A meta- analysis would pool effects from studies conducted in a similar manner, yet to date, no such harmonized protocol exists for resting state fMRI (rsfMRI) data. Here, we propose an initial pipeline for multi-site rsfMRI analysis to allow research groups around the world to analyze scans in a harmonized way, and to perform coordinated statistical tests. The challenge lies in the fact that resting state fMRI measurements collected by researchers over the last decade vary widely, with variable quality and differing spatial or temporal signal-to-noise ratio (tSNR). An effective harmonization must provide optimal measures for all quality data. Here we used rsfMRI data from twenty-two independent studies with approximately fifty corresponding T1-weighted and rsfMRI datasets each, to (A) review and aggregate the state of existing rsfMRI data, (B) demonstrate utility of principal component analysis (PCA)-based denoising and (C) develop a deformable ENIGMA EPI template based on the representative anatomy that incorporates spatial distortion patterns from various protocols and populations.

Keywords: ENIGMA EPI template; Large multi-site studies; Processing pipelines.

Conflict of interest statement

Conflict of Interest: There is no conflict of interest for any of the authors.

Similar articles

See all similar articles

Cited by 4 articles

  • History of early life adversity is associated with increased food addiction and sex-specific alterations in reward network connectivity in obesity.
    Osadchiy V, Mayer EA, Bhatt R, Labus JS, Gao L, Kilpatrick LA, Liu C, Tillisch K, Naliboff B, Chang L, Gupta A. Osadchiy V, et al. Obes Sci Pract. 2019 Aug 30;5(5):416-436. doi: 10.1002/osp4.362. eCollection 2019 Oct. Obes Sci Pract. 2019. PMID: 31687167 Free PMC article.
  • Replication and generalization in applied neuroimaging.
    Lerma-Usabiaga G, Mukherjee P, Ren Z, Perry ML, Wandell BA. Lerma-Usabiaga G, et al. Neuroimage. 2019 Nov 15;202:116048. doi: 10.1016/j.neuroimage.2019.116048. Epub 2019 Jul 26. Neuroimage. 2019. PMID: 31356879
  • Brain Imaging of the Cortex in ADHD: A Coordinated Analysis of Large-Scale Clinical and Population-Based Samples.
    Hoogman M, Muetzel R, Guimaraes JP, Shumskaya E, Mennes M, Zwiers MP, Jahanshad N, Sudre G, Wolfers T, Earl EA, Soliva Vila JC, Vives-Gilabert Y, Khadka S, Novotny SE, Hartman CA, Heslenfeld DJ, Schweren LJS, Ambrosino S, Oranje B, de Zeeuw P, Chaim-Avancini TM, Rosa PGP, Zanetti MV, Malpas CB, Kohls G, von Polier GG, Seitz J, Biederman J, Doyle AE, Dale AM, van Erp TGM, Epstein JN, Jernigan TL, Baur-Streubel R, Ziegler GC, Zierhut KC, Schrantee A, Høvik MF, Lundervold AJ, Kelly C, McCarthy H, Skokauskas N, O'Gorman Tuura RL, Calvo A, Lera-Miguel S, Nicolau R, Chantiluke KC, Christakou A, Vance A, Cercignani M, Gabel MC, Asherson P, Baumeister S, Brandeis D, Hohmann S, Bramati IE, Tovar-Moll F, Fallgatter AJ, Kardatzki B, Schwarz L, Anikin A, Baranov A, Gogberashvili T, Kapilushniy D, Solovieva A, El Marroun H, White T, Karkashadze G, Namazova-Baranova L, Ethofer T, Mattos P, Banaschewski T, Coghill D, Plessen KJ, Kuntsi J, Mehta MA, Paloyelis Y, Harrison NA, Bellgrove MA, Silk TJ, Cubillo AI, Rubia K, Lazaro L, Brem S, Walitza S, Frodl T, Zentis M, Castellanos FX, Yoncheva YN, Haavik J, Reneman L, Conzelmann A, Lesch KP, Pauli P, Reif A, Tamm L, Konrad K, Oberwelland Weiss E, Busatto GF, Louza MR, Durston S, Hoekstra PJ, Oosterlaan J, Stevens MC, Ramos-Quiroga JA, Vilarroya O, Fair DA, Nigg JT, Thompson PM, Buitelaar JK, Faraone SV, Shaw P, Tiemeier H, Bralten J, Franke B. Hoogman M, et al. Am J Psychiatry. 2019 Jul 1;176(7):531-542. doi: 10.1176/appi.ajp.2019.18091033. Epub 2019 Apr 24. Am J Psychiatry. 2019. PMID: 31014101
  • Comparison of heritability estimates on resting state fMRI connectivity phenotypes using the ENIGMA analysis pipeline.
    Adhikari BM, Jahanshad N, Shukla D, Glahn DC, Blangero J, Fox PT, Reynolds RC, Cox RW, Fieremans E, Veraart J, Novikov DS, Nichols TE, Hong LE, Thompson PM, Kochunov P. Adhikari BM, et al. Hum Brain Mapp. 2018 Dec;39(12):4893-4902. doi: 10.1002/hbm.24331. Epub 2018 Jul 27. Hum Brain Mapp. 2018. PMID: 30052318 Free PMC article.

Publication types

LinkOut - more resources

Feedback