Effects of online repetitive transcranial magnetic stimulation (rTMS) on cognitive processing: A meta-analysis and recommendations for future studies.
dc.contributor.author | Beynel, Lysianne | |
dc.contributor.author | Appelbaum, Lawrence G | |
dc.contributor.author | Luber, Bruce | |
dc.contributor.author | Crowell, Courtney A | |
dc.contributor.author | Hilbig, Susan A | |
dc.contributor.author | Lim, Wesley | |
dc.contributor.author | Nguyen, Duy | |
dc.contributor.author | Chrapliwy, Nicolas A | |
dc.contributor.author | Davis, Simon W | |
dc.contributor.author | Cabeza, Roberto | |
dc.contributor.author | Lisanby, Sarah H | |
dc.contributor.author | Deng, Zhi-De | |
dc.date.accessioned | 2020-06-01T16:16:19Z | |
dc.date.available | 2020-06-01T16:16:19Z | |
dc.date.issued | 2019-12 | |
dc.date.updated | 2020-06-01T16:16:19Z | |
dc.description.abstract | Online repetitive transcranial magnetic stimulation (rTMS), applied while subjects are performing a task, is widely used to disrupt brain regions underlying cognition. However, online rTMS has also induced "paradoxical enhancement". Given the rapid proliferation of this approach, it is crucial to develop a better understanding of how online stimulation influences cognition, and the optimal parameters to achieve desired effects. To accomplish this goal, a quantitative meta-analysis was performed with random-effects models fitted to reaction time (RT) and accuracy data. The final dataset included 126 studies published between 1998 and 2016, with 244 total effects for reaction times, and 202 for accuracy. Meta-analytically, rTMS at 10 Hz and 20 Hz disrupted accuracy for attention, executive, language, memory, motor, and perception domains, while no effects were found with 1 Hz or 5 Hz. Stimulation applied at and 10 and 20 Hz slowed down RTs in attention and perception tasks. No performance enhancement was found. Meta-regression analysis showed that fMRI-guided targeting and short inter-trial intervals are associated with increased disruptive effects with rTMS. | |
dc.identifier | S0149-7634(19)30383-5 | |
dc.identifier.issn | 0149-7634 | |
dc.identifier.issn | 1873-7528 | |
dc.identifier.uri | ||
dc.language | eng | |
dc.publisher | Elsevier BV | |
dc.relation.ispartof | Neuroscience and biobehavioral reviews | |
dc.relation.isversionof | 10.1016/j.neubiorev.2019.08.018 | |
dc.subject | Cognition | |
dc.subject | Meta-analysis | |
dc.subject | Online rTMS | |
dc.title | Effects of online repetitive transcranial magnetic stimulation (rTMS) on cognitive processing: A meta-analysis and recommendations for future studies. | |
dc.type | Journal article | |
duke.contributor.orcid | Appelbaum, Lawrence G|0000-0002-3184-6725 | |
duke.contributor.orcid | Davis, Simon W|0000-0002-5943-0756 | |
duke.contributor.orcid | Cabeza, Roberto|0000-0001-7999-1182 | |
duke.contributor.orcid | Lisanby, Sarah H|0000-0003-2037-6470 | |
pubs.begin-page | 47 | |
pubs.end-page | 58 | |
pubs.organisational-group | School of Medicine | |
pubs.organisational-group | Duke Institute for Brain Sciences | |
pubs.organisational-group | Psychiatry & Behavioral Sciences, Brain Stimulation and Neurophysiology | |
pubs.organisational-group | Duke | |
pubs.organisational-group | University Institutes and Centers | |
pubs.organisational-group | Institutes and Provost's Academic Units | |
pubs.organisational-group | Psychiatry & Behavioral Sciences | |
pubs.organisational-group | Clinical Science Departments | |
pubs.organisational-group | Psychology and Neuroscience | |
pubs.organisational-group | Duke Science & Society | |
pubs.organisational-group | Trinity College of Arts & Sciences | |
pubs.organisational-group | Initiatives | |
pubs.organisational-group | Neurology, Behavioral Neurology | |
pubs.organisational-group | Center for Cognitive Neuroscience | |
pubs.organisational-group | Neurology | |
pubs.organisational-group | Center for Population Health & Aging | |
pubs.organisational-group | Duke-UNC Center for Brain Imaging and Analysis | |
pubs.organisational-group | Psychiatry & Behavioral Sciences, Geriatric Behavioral Health | |
pubs.organisational-group | Duke Population Research Institute | |
pubs.organisational-group | Sanford School of Public Policy | |
pubs.organisational-group | Institutes and Centers | |
pubs.organisational-group | Faculty | |
pubs.publication-status | Published | |
pubs.volume | 107 |
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