Evidence map›Paper›PMID 32082132›Full record

ArticleFrontiers in human neuroscience2020

Atypical Dynamic-Connectivity Recruitment in Attention-Deficit/Hyperactivity Disorder Children: An Insight Into Task-Based Dynamic Connectivity Through an fNIRS Study.

Stephanie Sutoko, Yukifumi Monden, Tatsuya Tokuda, Takahiro Ikeda, Masako Nagashima, Tsukasa Funane, Hirokazu Atsumori, Masashi Kiguchi, Atsushi Maki, Takanori Yamagata and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 11% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  3. Trial
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  7. Linking Connectivity Dynamics to Symptom Severity and Cognitive Abilities in Children with Autism Spectrum Disorder: An FNIRS Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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  17. Classifying Children with ADHD Based on Prefrontal Functional Near-infrared Spectroscopy Using Machine Learning.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2023
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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

11 authors at 4 institutions in 1 country.

Stephanie SutokoHitachi, Ltd., Research & Development Group, Center for Exploratory Research, Tokyo, Japan.
Yukifumi MondenDepartment of Pediatrics, Jichi Medical University, Shimotsuke, Japan.
Tatsuya TokudaFaculty of Science and Engineering, 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.
Tsukasa FunaneHitachi, Ltd., Research & Development Group, Center for Exploratory Research, Tokyo, Japan.
Hirokazu AtsumoriHitachi, Ltd., Research & Development Group, Center for Exploratory Research, Tokyo, Japan.
Masashi KiguchiHitachi, Ltd., Research & Development Group, Center for Exploratory Research, Tokyo, Japan.
Atsushi MakiHitachi, Ltd., Research & Development Group, Center for Exploratory Research, Tokyo, Japan.
Takanori YamagataDepartment of Pediatrics, Jichi Medical University, Shimotsuke, Japan.
Ippeita DanFaculty of Science and Engineering, Applied Cognitive Neuroscience Laboratory, Chuo University, Tokyo, Japan.
Hitachi (Japan) · JPChuo University · JPJichi Medical University · JPInternational University of Health and Welfare · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Connectivity between brain regions has been redefined beyond a stationary state. Even when a person is in a resting state, brain connectivity dynamically shifts. However, shifted brain connectivity under externally evoked stimulus is still little understood. The current study, therefore, focuses on task-based dynamic functional-connectivity (FC) analysis of brain signals measured by functional near-infrared spectroscopy (fNIRS). We hypothesize that a stimulus may influence not only brain connectivity but also the occurrence probabilities of task-related and task-irrelevant connectivity states. fNIRS measurement (of the prefrontal-to-inferior parietal lobes) was conducted on 21 typically developing (TD) and 21 age-matched attention-deficit/hyperactivity disorder (ADHD) children performing an inhibitory control task, namely, the Go/No-Go (GNG) task. It has been reported that ADHD children lack inhibitory control; differences between TD and ADHD children in terms of task-based dynamic FC were also evaluated. Four connectivity states were found to occur during the temporal task course. Two dominant connectivity states (states 1 and 2) are characterized by strong connectivities within the frontoparietal network (occurrence probabilities of 40%-56% and 26%-29%), and presumptively interpreted as task-related states. A connectivity state (state 3) shows strong connectivities in the bilateral medial frontal-to-parietal cortices (occurrence probability of 7-15%). The strong connectivities were found at the overlapped regions related the default mode network (DMN). Another connectivity state (state 4) visualizes strong connectivities in all measured regions (occurrence probability of 10%-16%). A global effect coming from cerebral vascular may highly influence this connectivity state. During the GNG stimulus interval, the ADHD children tended to show decreased occurrence probability of the dominant connectivity state and increased occurrence probability of other connectivity states (states 3 and 4). Bringing a new perspective to explain neuropathophysiology, these findings suggest atypical dynamic network recruitment to accommodate task demands in ADHD children.

Indexed as

an inhibitory control taskattention-deficit/hyperactivity disorderconnectivity statesdynamic functional connectivityfrontoparietal networkfunctional near-infrared spectroscopy

Identifiers

PMID32082132
PMCPMC7005005
OpenAlexW3004333491

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.