Evidence map›Paper›PMID 28605662›Full record

ArticlePsychiatry research. Neuroimaging2017

Computerized cognitive training for children with neurofibromatosis type 1: A pilot resting-state fMRI study.

Yuliya N Yoncheva, Kristina K Hardy, Daniel J Lurie, Krishna Somandepalli, Lanbo Yang, Gilbert Vezina, Nadja Kadom, Roger J Packer, Michael P Milham, F Xavier Castellanos and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Psychiatry research. Neuroimaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Trial
  4. Review
  5. Article
  6. Article
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  8. Article
  9. An executive functioning perspective in neurofibromatosis type 1: from ADHD and autism spectrum disorder to research domains.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2020
    Review
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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.

Yuliya N YonchevaDepartment of Child and Adolescent Psychiatry, NYU Langone Medical Center, New York, NY, USA.
Kristina K HardyDepartment of Pediatrics and Neurology, George Washington University, School of Medicine, Washington, DC, USA; Children's National Health System, Washington, DC, USA.
Daniel J LurieDepartment of Psychology, University of California, Berkeley, Berkeley, CA, USA.
Krishna SomandepalliSchool of Engineering, University of Southern California, Los Angeles, CA, USA.
Lanbo YangDepartment of Child and Adolescent Psychiatry, NYU Langone Medical Center, New York, NY, USA.
Gilbert VezinaChildren's National Health System, Washington, DC, USA; Department of Diagnostic Imaging and Radiology, Children's National Health System, Washington, DC, USA.
Nadja KadomDepartment of Radiology and Imaging Sciences, Children's Healthcare of Atlanta (Egleston), Atlanta, GA, USA.
Roger J PackerDepartment of Pediatrics and Neurology, George Washington University, School of Medicine, Washington, DC, USA; Children's National Health System, Washington, DC, USA.
Michael P MilhamChild Mind Institute, New York, NY, USA; Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA.
F Xavier CastellanosDepartment of Child and Adolescent Psychiatry, NYU Langone Medical Center, New York, NY, USA; Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA.
Maria T AcostaDepartment of Pediatrics and Neurology, George Washington University, School of Medicine, Washington, DC, USA; Children's National Health System, Washington, DC, USA. Electronic address: macosta@childrensnational.org.

Funding

Research_ProjectU54HD090257 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI GUAY-WOODFORD, LISA MARIE · 2016 to 2020
$5.9M
Research Training in Translational Developmental NeuroscienceT32MH067763 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CASTELLANOS, FRANCISCO XAVIER · 2003 to 2013
$2.9M
Intramural NIH HHS Z99 HG999999NICHD NIH HHS U54 HD090257NIMH NIH HHS T32 MH067763
6 · The paper itself

Abstract

In this pilot study, we examined training effects of a computerized working memory program on resting state functional magnetic resonance imaging (fMRI) measures in children with neurofibromatosis type 1 (NF1). We contrasted pre- with post-training resting state fMRI and cognitive measures from 16 participants (nine males; 11.1 ± 2.3 years) with NF1 and documented working memory difficulties. Using non-parametric permutation test inference, we found significant regionally specific differences (family-wise error corrected) in two of four voxel-wise resting state measures: fractional amplitude of low frequency fluctuations (indexing peak-to-trough intensity of spontaneous oscillations) and regional homogeneity (indexing local intrinsic synchrony). Some cognitive task improvement was observed as well. These preliminary findings suggest that regionally specific changes in resting state fMRI indices may be associated with treatment-related cognitive amelioration in NF1. Nevertheless, current results must be interpreted with caution pending independent controlled replication.

Indexed as

AdolescentBrainBrain MappingChildCognitive RemediationFemaleFunctional NeuroimagingHumansMagnetic Resonance ImagingMaleMemory, Short-TermNeurofibromatosis 1Pilot ProjectsBOLDBrain trainingFractional amplitude of low frequency fluctuationsNF1PediatricRegional homogeneityWorking memory

Identifiers

PMID28605662
PMCPMC5582983

What OpenQuestion holds

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Registered trials

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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.