Evidence map›Paper›PMID 32758665›Full record

SynthesisBrain stimulation

Large-scale analysis of interindividual variability in theta-burst stimulation data: Results from the 'Big TMS Data Collaboration'.

Daniel T Corp, Hannah G K Bereznicki, Gillian M Clark, George J Youssef, Peter J Fried, Ali Jannati, Charlotte B Davies, Joyce Gomes-Osman, Julie Stamm, Sung Wook Chung and 8 more

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Brain stimulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 5 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

80 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  4. A Systematic Review of the Safety and Tolerability of Theta Burst Stimulation in Children and Adolescents.Neuromodulation : journal of the International Neuromodulation Society · 2022
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  9. Article
  10. Motor cortex rTMS modulates adult ocular dominance plasticity.Cerebral cortex (New York, N.Y. : 1991) · 2026
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20 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

18 authors.

Daniel T CorpCognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia; Berenson-Allen Center for Non-Invasive Brain Stimulation, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA. Electronic address: daniel.corp@deakin.edu.au.
Hannah G K BereznickiCognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia.
Gillian M ClarkCognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia.
George J YoussefCognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia; Centre for Adolescent Health, Murdoch Children's Research Institute, Parkville, Australia.
Peter J FriedBerenson-Allen Center for Non-Invasive Brain Stimulation, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Ali JannatiBerenson-Allen Center for Non-Invasive Brain Stimulation, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Neuromodulation Program and Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Charlotte B DaviesCognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia.
Joyce Gomes-OsmanBerenson-Allen Center for Non-Invasive Brain Stimulation, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Department of Physical Therapy, University of Miami Miller School of Medicine, Miami, FL, USA.
Julie StammDepartment of Kinesiology, University of Wisconsin-Madison, Madison, WI, USA.
Sung Wook ChungMonash Alfred Psychiatry Research Centre, Central Clinical School, The Alfred and Monash University, Melbourne, Australia.
Steven J BoweDeakin Biostatistics Unit Faculty of Health Deakin University, Geelong, Australia.
Nigel C RogaschDiscipline of Psychiatry, Adelaide Medical School, University of Adelaide, Adelaide, Australia; Hopwood Centre for Neurobiology, Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, Australia; The Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia.
Paul B FitzgeraldMonash Alfred Psychiatry Research Centre, Central Clinical School, The Alfred and Monash University, Melbourne, Australia; Epworth Centre for Innovation in Mental Health, Epworth HealthCare and Central Clinical School, Melbourne, Australia.
Giacomo KochNon-invasive Brain Stimulation Unit, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy; Department of Biomedical and Specialty Surgical Sciences, Section of Human Physiology, University of Ferrara, Italy.
Vincenzo Di LazzaroUnit of Neurology, Neurophysiology and Neurobiology, Università Campus Bio-Medico, Rome, Italy.
Alvaro Pascual-LeoneHinda and Arthur Marcus Institute for Aging Research. Hebrew SeniorLife, Boston, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA; Guttmann Brain Health Institute, Institut Guttmann de Neurorehabilitació, Universitat Autonoma de Barcelona, Barcelona, Spain.
Peter G EnticottCognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia.
‘Big TMS Data Collaboration’

Funding

Institutional Career Development CoreKL2TR002737 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI RUNDEK, TATJANA, SCOTT, GWENDOLYN BARBARA · 2018 to 2022
$3.6M
CIHR 41791NCATS NIH HHS KL2 TR002737
6 · The paper itself

Abstract

backgroundMany studies have attempted to identify the sources of interindividual variability in response to theta-burst stimulation (TBS). However, these studies have been limited by small sample sizes, leading to conflicting results. OBJECTIVE/HYPOTHESIS: This study brought together over 60 TMS researchers to form the 'Big TMS Data Collaboration', and create the largest known sample of individual participant TBS data to date. The goal was to enable a more comprehensive evaluation of factors driving TBS response variability.

methods118 corresponding authors of TMS studies were emailed and asked to provide deidentified individual TMS data. Mixed-effects regression investigated a range of individual and study level variables for their contribution to iTBS and cTBS response variability.

results430 healthy participants' TBS data was pooled across 22 studies (mean age = 41.9; range = 17-82; females = 217). Baseline MEP amplitude, age, target muscle, and time of day significantly predicted iTBS-induced plasticity. Baseline MEP amplitude and timepoint after TBS significantly predicted cTBS-induced plasticity.

conclusionsThis is the largest known study of interindividual variability in TBS. Our findings indicate that a significant portion of variability can be attributed to the methods used to measure the modulatory effects of TBS. We provide specific methodological recommendations in order to control and mitigate these sources of variability.

Indexed as

Data AnalysisIndividualityAdolescentAdultAgedAged, 80 and overEvoked Potentials, MotorFemaleHealthy VolunteersHumansIntersectoral CollaborationMaleMiddle AgedMotor CortexNeuronal PlasticityTheta RhythmBig dataTheta-burst stimulationTranscranial, and magnetic stimulationVariability

Identifiers

PMID32758665
PMCPMC7494610

What OpenQuestion holds

Textmetadata
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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.