Evidence map›Paper›PMID 34185132›Full record

ReviewEuropean archives of psychiatry and clinical neuroscience2022

Functional near-infrared spectroscopy in developmental psychiatry: a review of attention deficit hyperactivity disorder.

Louisa K Gossé, Sarah W Bell, S M Hadi Hosseini

Open access · greenAbstract readReview
In one paragraph

Review in European archives of psychiatry and clinical neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 45 citations in OpenAlex.

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  14. 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
    Article
  15. [Intellectual status and factors influencing the intelligence in children with attention deficit and hyperactive disorder].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023
    Article
  16. Article
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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

3 authors at 1 institution in 2 countries.

Louisa K GosséDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd., Stanford, CA, 94305-5795, USA.
Sarah W BellDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd., Stanford, CA, 94305-5795, USA.
S M Hadi HosseiniDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd., Stanford, CA, 94305-5795, USA. hosseiny@stanford.edu.ORCID http://orcid.org/0000-0001-5186-7008
Stanford University · US

Funding

A Novel Neuromonitoring Guided Cognitive Intervention for Targeted Enhancement of Working MemoryR61MH119289 · NIMH · STANFORD UNIVERSITY · PI HOSSEINI, HADI · 2019 to 2021
$787k
The influence of multi-domain cognitive training on large-scale structural and functional brain networks in MCIK25AG050759 · NIA · STANFORD UNIVERSITY · PI HOSSEINI, HADI · 2016 to 2020
$739k
A Wearable Optical Imaging System for Daily Monitoring of Prefrontal Activity in ADHDR21MH123873 · NIMH · STANFORD UNIVERSITY · PI BOWDEN, AUDREY KYNSELLA, HOSSEINI, HADI · 2020 to 2020
$443k
Multi-dimensional network framework for AD detection and progressionR21AG064263 · NIA · STANFORD UNIVERSITY · PI HOSSEINI, HADI · 2019 to 2020
$430k
NIA NIH HHS K25 AG050759NIA NIH HHS R21 AG064263NIH HHS K25AG050759NIH HHS R21AG064263NIH HHS R21MH123873NIH HHS R61MH119289NIMH NIH HHS R21 MH123873NIMH NIH HHS R61 MH119289
6 · The paper itself

Abstract

Research has linked executive function (EF) deficits to many of the behavioral symptoms of attention deficit hyperactivity disorder (ADHD). Evidence of the involvement of EF impairment in ADHD is corroborated by accumulating neuroimaging studies, specifically functional magnetic resonance imaging (fMRI) studies. However, in recent years, functional near-infrared spectroscopy (fNIRS) has become increasingly popular in ADHD research due to its portability, high ecological validity, resistance to motion artifacts, and cost-effectiveness. While numerous studies throughout the past decade have used fNIRS to examine alterations in neural correlates of EF in ADHD, a qualitative review of the reliability of these findings compared with those reported using gold-standard fMRI measurements does not yet exist. The current review aims to fill this gap in the literature by comparing the results generated from a qualitative review of fNIRS studies (children and adolescents ages 6-16 years old) to a meta-analysis of comparable fMRI studies and examining the extent to which the results of these studies align in the context of EF impairment in ADHD. The qualitative analysis of fNIRS studies of ADHD shows a consistent hypoactivity in the right prefrontal cortex in multiple EF tasks. The meta-analysis of fMRI data corroborates altered activity in this region and surrounding areas during EF tasks in ADHD compared with typically developing controls. These findings indicate that fNIRS is a promising functional brain imaging technology for examining alterations in cortical activity in ADHD. We also address the disadvantages of fNIRS, including limited spatial resolution compared with fMRI.

Indexed as

Attention Deficit Disorder with HyperactivityPsychology, DevelopmentalAdolescentChildHumansMagnetic Resonance ImagingMeta-Analysis as TopicReproducibility of ResultsSpectroscopy, Near-InfraredADHDChildrenExecutive functionsfNIRSNeural correlates

Identifiers

PMID34185132
PMCPMC9911305
OpenAlexW3173965256

What OpenQuestion holds

Textmetadata
LicenceTDM
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.