Evidence map›Paper›PMID 27629707›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2016

Methylphenidate Modulates Functional Network Connectivity to Enhance Attention.

Monica D Rosenberg, Sheng Zhang, Wei-Ting Hsu, Dustin Scheinost, Emily S Finn, Xilin Shen, R Todd Constable, Chiang-Shan R Li, Marvin M Chun

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
5.7field-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

68 citing papers in PubMed, 129 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Catecholaminergic Modulation of Conflict Control Depends on the Source of Conflicts.The international journal of neuropsychopharmacology · 2018
    Trial
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

8 more citing papers are in PubMed but not listed here.

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 5 countries.

Monica D RosenbergDepartment of Psychology, monica.rosenberg@yale.edu.ORCID 0000-0001-6179-4025
Sheng ZhangDepartments of Psychiatry.
Wei-Ting HsuDepartment of Psychology, Yale College, and.
Dustin ScheinostRadiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, Connecticut 06520.
Emily S FinnInterdepartmental Neuroscience Program.
Xilin ShenRadiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, Connecticut 06520.
R Todd ConstableInterdepartmental Neuroscience Program, Neurosurgery, Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, Connecticut 06520.
Chiang-Shan R LiInterdepartmental Neuroscience Program, Departments of Psychiatry, Neuroscience, and.ORCID 0000-0002-9393-1212
Marvin M ChunDepartment of Psychology, Interdepartmental Neuroscience Program, Neuroscience, and.ORCID 0000-0003-1070-7993
Yale University · USSociety for Neuroscience · USKlinik Rosenberg · DEYale-NUS College · SG

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Institutional Career Development CoreKL2TR001862 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$12.2M
Neuroimaging Sciences Training ProgramT32DA022975 · NIDA · YALE UNIVERSITY · PI Graeme F Mason, Rajita Sinha · 2007 to 2026
$5.7M
Cognitive control and cocaine dependence: thalamic noradrenergic processesR01DA023248 · NIDA · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2008 to 2018
$4.0M
Whole Brain Functional Connectivity Measures of AttentionR01MH108591 · NIMH · YALE UNIVERSITY · PI CHUN, MARVIN M · 2016 to 2019
$1.7M
Method for Measuring Functional Subunits in Human CortexR01EB009666 · NIBIB · YALE UNIVERSITY · PI CONSTABLE, R TODD · 2010 to 2013
$1.4M
Cerebral Correlates of Early Habitual DrinkingR01AA021449 · NIAAA · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2013 to 2017
$1.2M
Thalamic cortical dysfunction and predictors of relapse in cocaine dependenceK25DA040032 · NIDA · YALE UNIVERSITY · PI ZHANG, SHENG · 2015 to 2019
$834k
Imaging Cognitive Control in Cocaine DependenceK02DA026990 · NIDA · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2009 to 2013
$639k
NCATS NIH HHS KL2 TR001862NCATS NIH HHS UL1 TR001863NIAAA NIH HHS R01 AA021449NIBIB NIH HHS R01 EB009666NIDA NIH HHS K02 DA026990NIDA NIH HHS K25 DA040032NIDA NIH HHS R01 DA023248NIDA NIH HHS T32 DA022975NIMH NIH HHS R01 MH108591
6 · The paper itself

Abstract

unlabelledRecent work has demonstrated that human whole-brain functional connectivity patterns measured with fMRI contain information about cognitive abilities, including sustained attention. To derive behavioral predictions from connectivity patterns, our group developed a connectome-based predictive modeling (CPM) approach (Finn et al., 2015; Rosenberg et al., 2016). Previously using CPM, we defined a high-attention network, comprising connections positively correlated with performance on a sustained attention task, and a low-attention network, comprising connections negatively correlated with performance. Validating the networks as generalizable biomarkers of attention, models based on network strength at rest predicted attention-deficit/hyperactivity disorder (ADHD) symptoms in an independent group of individuals (Rosenberg et al., 2016). To investigate whether these networks play a causal role in attention, here we examined their strength in healthy adults given methylphenidate (Ritalin), a common ADHD treatment, compared with unmedicated controls. As predicted, individuals given methylphenidate showed patterns of connectivity associated with better sustained attention: higher high-attention and lower low-attention network strength than controls. There was significant overlap between the high-attention network and a network with greater strength in the methylphenidate group, and between the low-attention network and a network with greater strength in the control group. Network strength also predicted behavior on a stop-signal task, such that participants with higher go response rates showed higher high-attention and lower low-attention network strength. These results suggest that methylphenidate acts by modulating functional brain networks related to sustained attention, and that changing whole-brain connectivity patterns may help improve attention. SIGNIFICANCE STATEMENT: Recent work identified a promising neuromarker of sustained attention based on whole-brain functional connectivity networks. To investigate the causal role of these networks in attention, we examined their response to a dose of methylphenidate, a common and effective treatment for attention-deficit/hyperactivity disorder, in healthy adults. As predicted, individuals on methylphenidate showed connectivity signatures of better sustained attention: higher high-attention and lower low-attention network strength than controls. These results suggest that methylphenidate acts by modulating strength in functional brain networks related to attention, and that changing whole-brain connectivity patterns may improve attention.

Indexed as

ConnectomeAdultAttentionBrainCentral Nervous System StimulantsFemaleHealthy VolunteersHumansInhibition, PsychologicalMagnetic Resonance ImagingMaleMethylphenidateNeural PathwaysNeuropsychological TestsReaction TimeYoung AdultCentral Nervous System StimulantsMethylphenidatefMRIfunctional connectivitymethylphenidateneuromarkerpredictive markersustained attention

Identifiers

PMID27629707
PMCPMC5039242
OpenAlexW2519704068

What OpenQuestion holds

Textmetadata
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.