Skip to main content

Main menu

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Collections
    • Podcast
  • ALERTS
  • FOR AUTHORS
    • Information for Authors
    • Fees
    • Journal Clubs
    • eLetters
    • Submit
    • Special Collections
  • EDITORIAL BOARD
    • Editorial Board
    • ECR Advisory Board
    • Journal Staff
  • ABOUT
    • Overview
    • Advertise
    • For the Media
    • Rights and Permissions
    • Privacy Policy
    • Feedback
    • Accessibility
  • SUBSCRIBE

User menu

  • Log out
  • Log in
  • My Cart

Search

  • Advanced search
Journal of Neuroscience
  • Log out
  • Log in
  • My Cart
Journal of Neuroscience

Advanced Search

Submit a Manuscript
  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Collections
    • Podcast
  • ALERTS
  • FOR AUTHORS
    • Information for Authors
    • Fees
    • Journal Clubs
    • eLetters
    • Submit
    • Special Collections
  • EDITORIAL BOARD
    • Editorial Board
    • ECR Advisory Board
    • Journal Staff
  • ABOUT
    • Overview
    • Advertise
    • For the Media
    • Rights and Permissions
    • Privacy Policy
    • Feedback
    • Accessibility
  • SUBSCRIBE
PreviousNext
Erratum

Erratum: Nomi et al., “Moment-to-Moment BOLD Signal Variability Reflects Regional Changes in Neural Flexibility across the Lifespan”

Journal of Neuroscience 26 February 2020, 40 (9) 1987-1992; https://doi.org/10.1523/JNEUROSCI.2779-19.2019
  • Article
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF
Loading

In the article “Moment-to-Moment BOLD Signal Variability Reflects Regional Changes in Neural Flexibility across the Lifespan” by Jason S. Nomi, Taylor S. Bolt, C.E. Chiemeka Ezie, Lucina Q. Uddin, and Aaron S. Heller, which appeared on pages 5539–5548 of the May 31, 2017 issue, there were two errors related to data analysis. The authors state the following:

There was an error in the MATLAB code used to calculate mean square successive differences (MSSD). The square root of MSSD2 was not computed in the original set of analyses. Thus, the paper reports analyses using the measure MSSD2 (MSSD squared) instead of MSSD. Second, the command “fslcc” was used to correlate within-subject whole-brain variability maps between MSSD and SD. However, fslcc includes empty voxels with zeros for calculating the correlation between two 3-D nifti files, which artificially inflates effect sizes. All data have been reanalyzed, and the main conclusions of the paper are unaffected.

With regard to reporting MSSD2 instead of MSSD, because this is only an issue of variable scaling, the rank-order correlations of MSSD2 responsible for the results presented in the original manuscript remain the same for MSSD. Reanalyzing all data using MSSD instead of MSSD2 produces all of the same results and conclusions from the original paper. The sole effect that does not surpass the original significance thresholds is the positive quadratic result observed in the thalamus (Fig. 5, top) for the fast TR group (p = 0.065 instead of p < 0.05 voxelwise, p < 0.05 cluster-wise); the positive quadratic thalamus result is still significant for the slow TR group (p < 0.05 voxelwise, p < 0.05 cluster-wise). Additionally, the post hoc regression model for the linear MSSD decrease for the sensorimotor overlap effect in the slow TR group (Table 1) that previously was not significant (p = 0.0776), is now significant (p = 0.000092).

View this table:
  • View inline
  • View popup
Table 1.

Results from post hoc regression analyses

With regards to using the fslcc command, reanalysis using custom MATLAB scripts showed that our measure of MSSD calculated from a z-normalized time series is negatively correlated with SD calculated from the same non-normalized time series in both the fast and slow TR groups (r values < −0.39; see below). This is in contrast to previous research showing that MSSD and SD are highly positively correlated (r values > 0.97; Garret et al., 2011). However, that study calculated MSSD and SD from a percentage-change normalized time series with a mean of 100. After calculating MSSD and SD using a percentage-change normalized time series with a mean of 100, as done previously, we also find that percentage-change normalized MSSD and percentage-change normalized SD are highly positively correlated in both the slow and fast TR groups in our data (r values > 0.98; see below). Future research will need to explore differences in z-scored normalized MSSD and percentage-change normalized MSSD.

These minor differences do not change the primary conclusions and results reported in the paper showing that in general, most brain areas exhibit decreases in MSSD across the lifespan, with the exception of increases in MSSD across the lifespan for the right dorsal anterior insula and the ventral temporal cortex. All analyses from the original paper have been replicated below and all directional relationships are unaffected.

As a result of these errors, the following changes have been made to the online version:

Update to the first paragraph of the Results section on page 5542: The average whole-brain MSSD value across all subjects was 0.2073 (SD = 0.0102, range: 0.1734–0.2359) for the fast TR group and 0.443 (SD = 0.0194, range: 0.3916–0.4886) for the slow TR group, indicating significantly smaller MSSD for the fast TR group (t(376) = 148.581, p < 0.0001).

New text to be inserted between the first and second paragraphs of the Results section on page 5542: Within-subject voxelwise whole-brain group average correlations between z-score normalized MSSD (zMSSD), non-normalized SD, percentage-change normalized MSSD with a mean of 100 (%MSSD), and percentage-change normalized SD with a mean of 100 (%SD) showed that SD, %MSSD, and %SD were strongly positively correlated with each other (r values > 0.98; Table 2) and negatively correlated with zMSSD (r values < −0.25).

View this table:
  • View inline
  • View popup
Table 2.

Within-subject voxelwise whole-brain group average correlations between zMSSD, non-normalized SD, percentage-change normalized MSSD with a mean of 100 (%MSSD), and percentage-change normalized SD with a mean of 100 (%SD)

Update to the first paragraph of the subsection “Linear relationship between MSSD values for subjects in bothTR groups” of the Results section on page 5544: Spearman's rank-order correlations were recalculated using MSSD values for the 177 subjects common to both groups for all post hoc analyses. Significant positive correlations were replicated for all post hoc regression effects as in the original manuscript (left VTC linear increase: ρ(175) = 0.291, p = 0.000085; right dAI linear increase: ρ(175) = 0.470, p = 3.9022 × 10−11; sensorimotor linear decrease: ρ(175) = 0.634, p = 2.7058 × 10−21; visual linear decrease: ρ(175) = 0.685, p = 6.9544 × 10−26; thalamus linear decrease: ρ(175) = 0.595, p = 2.5408 × 10−18; basal ganglia linear decrease: ρ(175) = 0.361, p = 7.8534 × 10−7; right VTC negative quadratic: ρ(175) = 0.425, p = 3.7767 × 10−9).

Figures 2–5 have been corrected to reproduce all of the directional results found for each brain area from the original paper, with the exception of Figure 5. The positive quadratic effect for the thalamus found in the top half of Figure 5 from the original article has been removed.

Figure 2
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 2
Figure 3
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 3
Figure 4
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 4
Figure 5.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 5.

Negative quadratic effect overlap for both TR groups with scatterplots showing MSSD effects (voxelwise at p < 0.05 and cluster corrected at p < 0.05 for both TR groups). Blue circles are males and red circles are females. Scatterplots show MSSD values for the fast TR group effect (voxelwise at p < 0.05) and slow TR group effect (voxelwise at p < 0.05 and cluster corrected at p < 0.05).

The legend for Figure 5 has been updated to read: Negative quadratic effect overlap for both TR groups with scatterplots showing MSSD effects (voxelwise at p < 0.05 and cluster corrected at p < 0.05 for both TR groups). Blue circles are males and red circles are females. Scatterplots show MSSD values for the fast TR group effect (voxelwise at p < 0.05) and slow TR group effect (voxelwise at p < 0.05 and cluster corrected at p < 0.05).

Table 1 has been corrected online and Table 2 has been added.

Reference

  1. ↵
    1. Garrett DD,
    2. Kovacevic N,
    3. McIntosh AR,
    4. Grady CL
    (2011) The importance of being variable. J Neurosci 31:4496–4503. doi:10.1523/JNEUROSCI.5641-10.2011 pmid:21430150
    OpenUrlAbstract/FREE Full Text
Back to top

In this issue

The Journal of Neuroscience: 40 (9)
Journal of Neuroscience
Vol. 40, Issue 9
26 Feb 2020
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
  • Advertising (PDF)
  • Ed Board (PDF)
Email

Thank you for sharing this Journal of Neuroscience article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Erratum: Nomi et al., “Moment-to-Moment BOLD Signal Variability Reflects Regional Changes in Neural Flexibility across the Lifespan”
(Your Name) has forwarded a page to you from Journal of Neuroscience
(Your Name) thought you would be interested in this article in Journal of Neuroscience.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
View Full Page PDF
Citation Tools
Erratum: Nomi et al., “Moment-to-Moment BOLD Signal Variability Reflects Regional Changes in Neural Flexibility across the Lifespan”
Journal of Neuroscience 26 February 2020, 40 (9) 1987-1992; DOI: 10.1523/JNEUROSCI.2779-19.2019

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Respond to this article
Request Permissions
Share
Erratum: Nomi et al., “Moment-to-Moment BOLD Signal Variability Reflects Regional Changes in Neural Flexibility across the Lifespan”
Journal of Neuroscience 26 February 2020, 40 (9) 1987-1992; DOI: 10.1523/JNEUROSCI.2779-19.2019
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Reference
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF

Responses to this article

Respond to this article

Jump to comment:

No eLetters have been published for this article.

Related Articles

Cited By...

More in this TOC Section

  • Erratum: Chen et al., “Dopamine and Norepinephrine Differentially Mediate the Exploration–Exploitation Tradeoff”
  • Erratum: Alexander et al., “Perineuronal Nets on CA2 Pyramidal Cells and Parvalbumin-Expressing Cells Differentially Regulate Hippocampal-Dependent Memory”
  • Erratum: DNA G-Quadruplex Is a Transcriptional Control Device That Regulates Memory
Show more Erratum
  • Home
  • Alerts
  • Follow SFN on BlueSky
  • Visit Society for Neuroscience on Facebook
  • Follow Society for Neuroscience on Twitter
  • Follow Society for Neuroscience on LinkedIn
  • Visit Society for Neuroscience on Youtube
  • Follow our RSS feeds

Content

  • Early Release
  • Current Issue
  • Issue Archive
  • Collections

Information

  • For Authors
  • For Advertisers
  • For the Media
  • For Subscribers

About

  • About the Journal
  • Editorial Board
  • Privacy Notice
  • Contact
  • Accessibility
(JNeurosci logo)
(SfN logo)

Copyright © 2025 by the Society for Neuroscience.
JNeurosci Online ISSN: 1529-2401

The ideas and opinions expressed in JNeurosci do not necessarily reflect those of SfN or the JNeurosci Editorial Board. Publication of an advertisement or other product mention in JNeurosci should not be construed as an endorsement of the manufacturer’s claims. SfN does not assume any responsibility for any injury and/or damage to persons or property arising from or related to any use of any material contained in JNeurosci.