Evidence map›Paper›PMID 34867544›Full record

ArticleFrontiers in psychiatry2021

Resting-State fMRI to Identify the Brain Correlates of Treatment Response to Medications in Children and Adolescents With Attention-Deficit/Hyperactivity Disorder: Lessons From the CUNMET Study.

Victor Pereira-Sanchez, Alexandre R Franco, Pilar de Castro-Manglano, Maria A Fernandez-Seara, Maria Vallejo-Valdivielso, Azucena Díez-Suárez, Miguel Fernandez-Martinez, M Reyes Garcia de Eulate, Michael Milham, Cesar A Soutullo and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Examining the role of dopamine in methylphenidate's effects on resting brain function.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  5. 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

11 authors at 4 institutions in 2 countries.

Victor Pereira-SanchezDepartment of Child and Adolescent Psychiatry, New York University (NYU) Grossman School of Medicine, New York, NY, United States.
Alexandre R FrancoCenter for the Developing Brain, Child Mind Institute, New York, NY, United States.
Pilar de Castro-ManglanoDepartamento de Psiquiatría y Psicología Clínica, Clínica Universidad de Navarra, Madrid, Spain.
Maria A Fernandez-SearaDepartamento de Radiología, Clínica Universidad de Navarra, Pamplona, Spain.
Maria Vallejo-ValdivielsoDepartamento de Psiquiatría y Psicología Clínica, Clínica Universidad de Navarra, Pamplona, Spain.
Azucena Díez-SuárezDepartamento de Psiquiatría y Psicología Clínica, Clínica Universidad de Navarra, Pamplona, Spain.
Miguel Fernandez-MartinezDepartamento de Radiología, Clínica Universidad de Navarra, Pamplona, Spain.
M Reyes Garcia de EulateDepartamento de Radiología, Clínica Universidad de Navarra, Pamplona, Spain.
Michael MilhamCenter for the Developing Brain, Child Mind Institute, New York, NY, United States.
Cesar A SoutulloLouis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, United States.
Francisco X CastellanosDepartment of Child and Adolescent Psychiatry, New York University (NYU) Grossman School of Medicine, New York, NY, United States.
Clinica Universidad de Navarra · ESNathan Kline Institute for Psychiatric Research · USChild Mind Institute · USThe University of Texas Health Science Center at Houston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroimaging research seeks to identify biomarkers to improve the diagnosis, prognosis, and treatment of attention-deficit/hyperactivity disorder (ADHD), although clinical translation of findings remains distant. Resting-state functional magnetic resonance imaging (R-fMRI) is increasingly being used to characterize functional connectivity in the brain. Despite mixed results to date and multiple methodological challenges, dominant hypotheses implicate hyperconnectivity across brain networks in patients with ADHD, which could be the target of pharmacological treatments. We describe the experience and results of the Clínica Universidad de Navarra (Spain) Metilfenidato (CUNMET) pilot study. CUNMET tested the feasibility of identifying R-fMRI markers of clinical response in children with ADHD undergoing naturalistical pharmacological treatments. We analyzed cross-sectional data from 56 patients with ADHD (18 treated with methylphenidate, 18 treated with lisdexamfetamine, and 20 treatment-naive patients). Standard preprocessing and statistical analyses with attention to control for head motion and correction for multiple comparisons were performed. The only results that survived correction were noted in contrasts of children who responded clinically to lisdexamfetamine after long-term treatment vs. treatment-naive patients. In these children, we observed stronger negative correlations (anticorrelations) across nodes in six brain networks, which is consistent with higher across-network functional segregation in patients treated with lisdexamfetamine, i.e., less inter-network interference than in treatment-naive patients. We also note the lessons learned, which could help those pursuing clinically relevant multidisciplinary research in ADHD en route to eventual personalized medicine. To advance reproducible open science, our report is accompanied with links providing access to our data and analytic scripts.

Indexed as

attention-deficit/hyperactivity disorder (ADHD)feasibilityfMRIfunctional connectivityopen sciencereproducibilityresting statestimulants

Identifiers

PMID34867544
PMCPMC8635006
OpenAlexW3214116329

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.