Evidence map›Paper›PMID 30800062›Full record

ArticleFrontiers in human neuroscience2019

Distinct Methylphenidate-Evoked Response Measured Using Functional Near-Infrared Spectroscopy During Go/No-Go Task as a Supporting Differential Diagnostic Tool Between Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder Comorbid Children.

Stephanie Sutoko, Yukifumi Monden, Tatsuya Tokuda, Takahiro Ikeda, Masako Nagashima, Masashi Kiguchi, Atsushi Maki, Takanori Yamagata, Ippeita Dan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Stephanie SutokoCenter for Exploratory Research, Research & Development Group, Hitachi, Ltd., Saitama, Japan.
Yukifumi MondenDepartment of Pediatrics, Jichi Medical University, Shimotsuke, Japan.
Tatsuya TokudaResearch and Development Initiatives, Applied Cognitive Neuroscience Laboratory, Chuo University, Tokyo, Japan.
Takahiro IkedaDepartment of Pediatrics, Jichi Medical University, Shimotsuke, Japan.
Masako NagashimaDepartment of Pediatrics, Jichi Medical University, Shimotsuke, Japan.
Masashi KiguchiCenter for Exploratory Research, Research & Development Group, Hitachi, Ltd., Saitama, Japan.
Atsushi MakiCenter for Exploratory Research, Research & Development Group, Hitachi, Ltd., Saitama, Japan.
Takanori YamagataDepartment of Pediatrics, Jichi Medical University, Shimotsuke, Japan.
Ippeita DanResearch and Development Initiatives, Applied Cognitive Neuroscience Laboratory, Chuo University, Tokyo, Japan.
Jichi Medical University · JPHitachi (Japan) · JPChuo University · JPInternational University of Health and Welfare · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Attention deficit/hyperactivity disorder (ADHD) has been frequently reported as co-occurring with autism spectrum disorder (ASD). However, ASD-comorbid ADHD is difficult to diagnose since clinically significant symptoms are similar in both disorders. Therefore, we propose a classification method of differentially recognizing the ASD-comorbid condition in ADHD children. The classification method was investigated based on functional brain imaging measured by near-infrared spectroscopy (NIRS) during a go/no-go task. Optimization and cross-validation of the classification method was carried out in medicated-naïve and methylphenidate (MPH) administered ADHD and ASD-comorbid ADHD children (randomized, double-blind, placebo-controlled, and crossover design) to select robust parameters and cut-off thresholds. The parameters could be defined as either single or averaged multi-channel task-evoked activations under an administration condition (i.e., pre-medication, post-MPH, and post-placebo). The ADHD children were distinguished by significantly high MPH-evoked activation in the right hemisphere near the midline vertex. The ASD-comorbid ADHD children tended to have low activation responses in all regions. High specificity (86 ± 4.1%; mean ± SD), sensitivity (93 ± 7.3%), and accuracy (82 ± 1.6%) were obtained using the activation of oxygenated-hemoglobin concentration change in right middle frontal, angular, and precentral gyri under MPH medication. Therefore, the significantly differing MPH-evoked responses are potentially effective features and as supporting differential diagnostic tools.

Indexed as

attention deficit/hyperactivity disorderautism spectrum disordercomorbid spectrumdifferential diagnostic toolinhibitory task-evoked activationmethylphenidatenear infra-red spectroscopy

Identifiers

PMID30800062
PMCPMC6375904
OpenAlexW2912720239

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.