inconsistency in abnormal brain activity across cohorts of adhd-200 in children with attention deficit hyperactivity disorder

inconsistency in abnormal brain activity across cohorts of adhd-200 in children with attention deficit hyperactivity disorder

;Jian-Bao Wang;Jian-Bao Wang;Jian-Bao Wang;Li-Jun Zheng;Li-Jun Zheng;Li-Jun Zheng;Qing-Jiu Cao;Yu-Feng Wang;Li Sun;Yu-Feng Zang;Yu-Feng Zang;Yu-Feng Zang;Hang Zhang
Journal of enzyme inhibition and medicinal chemistry 2017 Vol. 11 pp. -
167
wang2017frontiersinconsistency

Abstract

Many papers have shown results from the multi-site dataset of resting-state fMRI (rs-fMRI) in attention deficit hyperactivity disorder (ADHD), a data-sharing project named ADHD-200. However, few studies have illustrated that to what extent the pooled findings were consistent across cohorts. The present study analyzed three voxel-wise whole-brain metrics, i.e., amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), and degree centrality (DC) based on the pooled dataset as well as individual cohort of ADHD-200. In addition to the conventional frequency band of 0.01–0.08 Hz, sub-frequency bands of 0–0.01, 0.01–0.027, 0.027–0.073, 0.073–0.198, and 0.198–0.25 Hz, were assessed. While the pooled dataset showed abnormal activity in some brain regions, e.g., the bilateral sensorimotor cortices, bilateral cerebellum, and the bilateral lingual gyrus, these results were highly inconsistent across cohorts, even across the three cohorts from the same research center. The standardized effect size was rather small. These findings suggested a high heterogeneity of spontaneous brain activity in ADHD. Future studies based on multi-site large-sample dataset should be performed on pooled data and single cohort data, respectively and the effect size must be shown.

Citation

ID: 175749
Ref Key: wang2017frontiersinconsistency
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
175749
Unique Identifier:
10.3389/fnins.2017.00320
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet