Reliability of Mismatch Negativity Event-Related Potentials in a Multisite, Traveling Subjects Study
Brian J. Roach,
Ricardo E. Carrión,
Holly K. Hamilton,
Gregory A Light,
Carrie E. Bearden,
Kristin S. Cadenhead,
Tyrone D. Cannon,
Barbara A. Cornblatt,
Thomas H. McGlashan,
Diana O Perkins,
Ming T Tsuang,
Elaine F. Walker,
Scott W. Woods,
Posted 18 Sep 2019
bioRxiv DOI: 10.1101/768408 (published DOI: 10.1016/j.clinph.2020.09.027)
Posted 18 Sep 2019
Objective: Mismatch negativity (MMN) is an auditory event-related potential (ERP) used to study schizophrenia and psychosis risk. MMN reliability from a multisite, traveling subjects study was compared using different ERP referencing, averaging, and scoring techniques. Methods: Reliability of frequency, duration, and double (frequency+duration) MMN was determined from eight traveling subjects, tested on two occasions at eight EEG laboratory sites. Deviant-specific variance components were estimated for MMN peak amplitude and latency measures using different ERP processing methods. Generalizability (G) coefficients were calculated using two-facet (site, occasion), fully-crossed models and single-facet (occasion) models within each laboratory to assess MMN reliability. Results: G-coefficients calculated from two-facet models indicated fair (0.4<G<=0.6) duration MMN reliability at electrode Fz, but poor (G<0.4) double and frequency MMN reliability. Single-facet G-coefficients averaged across laboratory resulted in improved reliability (G>0.5). Reliability of MMN amplitude was greater than latency, and reliability with mastoid referencing significantly outperformed nose-referencing. Conclusions: EEG preprocessing methods have a significant impact on the reliability of MMN amplitude. Within site MMN reliability can be excellent, consistent with prior single site studies. Significance: With standardized data collection and ERP processing, MMN can be reliably obtained in multisite studies, providing larger samples sizes within rare patient groups.
- Downloaded 382 times
- Download rankings, all-time:
- Site-wide: 88,466
- In neuroscience: 13,160
- Year to date:
- Site-wide: 62,874
- Since beginning of last month:
- Site-wide: 24,630
Downloads over time
Distribution of downloads per paper, site-wide
- 27 Nov 2020: The website and API now include results pulled from medRxiv as well as bioRxiv.
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!