Evidence map›Paper›PMID 23684862›Full record

Trial reportNeuroImage2013

Distributed effects of methylphenidate on the network structure of the resting brain: a connectomic pattern classification analysis.

Chandra Sekhar Sripada, Daniel Kessler, Robert Welsh, Michael Angstadt, Israel Liberzon, K Luan Phan, Clayton Scott

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in NeuroImage, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

33 citing papers in PubMed, 56 citations in OpenAlex.

  1. From rest to focus: pharmacological modulation of the relationship between resting state dorsal attention network dynamics and task-based brain activation.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Trial
  2. Trial
  3. Connectome-based encoding of subjective drug responses to acute oral methamphetamine.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025
    Trial
  4. Trial
  5. Trial
  6. Brain connectivity changes to fast versus slow dopamine increases.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Trial
  7. Trial
  8. Trial
  9. Trial
  10. Trial
  11. Trial
  12. Article
  13. Article
  14. An autonomic mode of brain activity.Progress in neurobiology · 2023
    Article
  15. Article
  16. Unravelling the effects of methylphenidate on the dopaminergic and noradrenergic functional circuits.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Article
  17. Article
  18. Article
  19. Review
  20. 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

7 authors at 3 institutions in 1 country.

Chandra Sekhar SripadaDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, USA. Electronic address: sripada@umich.edu.
Daniel KesslerDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
Robert WelshDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, USA; Department of Radiology, University of Michigan, Ann Arbor, MI, USA.
Michael AngstadtDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
Israel LiberzonDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, USA; Mental Health Service, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA.
K Luan PhanDepartment of Psychiatry, University of Illinois at Chicago, USA.
Clayton ScottDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA; Department of Statistics, University of Michigan, Ann Arbor, MI, USA.
University of Michigan–Ann Arbor · USUniversity of Illinois Chicago · USVA Ann Arbor Healthcare System · US

Funding

Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
Presurgical Planning with Optimized Verbalized Speech Activation Studies inP01CA087634 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FESSLER, JEFFREY A · 2002 to 2013
$14.8M
Cortex Changes in Real/Imagined Movement in ALSR01NS052514 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WELSH, ROBERT C. · 2007 to 2010
$1.4M
Pharmacological Dissociation of Control Circuits in ADHD and Alcohol DependenceK23AA020297 · NIAAA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SRIPADA, CHANDRA SEKHAR · 2012 to 2016
$893k
NCATS NIH HHS UL1 TR000433NCATS NIH HHS UL1TR000433NCI NIH HHS P01 CA087634NCI NIH HHS P01CA087634NIAAA NIH HHS K23 AA020297NIAAA NIH HHS K23-AA-020297NINDS NIH HHS R01 NS052514NINDS NIH HHS R01NS052514
6 · The paper itself

Abstract

Methylphenidate is a psychostimulant medication that produces improvements in functions associated with multiple neurocognitive systems. To investigate the potentially distributed effects of methylphenidate on the brain's intrinsic network architecture, we coupled resting state imaging with multivariate pattern classification. In a within-subject, double-blind, placebo-controlled, randomized, counterbalanced, cross-over design, 32 healthy human volunteers received either methylphenidate or placebo prior to two fMRI resting state scans separated by approximately one week. Resting state connectomes were generated by placing regions of interest at regular intervals throughout the brain, and these connectomes were submitted for support vector machine analysis. We found that methylphenidate produces a distributed, reliably detected, multivariate neural signature. Methylphenidate effects were evident across multiple resting state networks, especially visual, somatomotor, and default networks. Methylphenidate reduced coupling within visual and somatomotor networks. In addition, default network exhibited decoupling with several task positive networks, consistent with methylphenidate modulation of the competitive relationship between these networks. These results suggest that connectivity changes within and between large-scale networks are potentially involved in the mechanisms by which methylphenidate improves attention functioning.

Indexed as

ConnectomeAdolescentAdultBrainCentral Nervous System StimulantsCross-Over StudiesFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMethylphenidateNeural PathwaysRestYoung AdultCentral Nervous System StimulantsMethylphenidateConnectomefMRIIntrinsic connectivity networksMethylphenidateMultivariate pattern classificationResting state

Identifiers

PMID23684862
PMCPMC3729859
OpenAlexW2116017335

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.