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Record W4280629063 · doi:10.1016/j.clinph.2022.04.022

Transcranial magnetic stimulation of the brain: What is stimulated? – A consensus and critical position paper

2022· review· en· W4280629063 on OpenAlexaff
Hartwig R. Siebner, Klaus Funke, Aman S. Aberra, Andrea Antal, Sven Bestmann, Robert Chen, Joseph Claßen, Marco Davare, Vincenzo Di Lazzaro, Peter T. Fox, Mark Hallett, Anke Ninija Karabanov, Janine Kesselheim, Mikkel Malling Beck, Giacomo Koch, David Liebetanz, Sabine Meunier, Carlo Miniussi, Walter Paulus, Angel V. Peterchev, Traian Popa, Michael C. Ridding, Axel Thielscher, Ulf Ziemann, John C. Rothwell, Yoshikazu Ugawa

Bibliographic record

VenueClinical Neurophysiology · 2022
Typereview
Languageen
FieldNeuroscience
TopicTranscranial Magnetic Stimulation Studies
Canadian institutionsUniversity of TorontoUniversity Health Network
FundersBiotechnology and Biological Sciences Research CouncilFondation DefitechH. Lundbeck A/SNational Institute of Neurological Disorders and StrokeNovo NordiskBundesministerium für Bildung und ForschungNational Institutes of HealthSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungHorizon 2020 Framework ProgrammeNovo Nordisk FondenNational Institute of Mental HealthFondazione Cassa Di Risparmio Di Trento E RoveretoLundbeckfondenInstitut National de la Santé et de la Recherche MédicaleDeutsche ForschungsgemeinschaftNiedersächsische Ministerium für Wissenschaft und KulturMinistry of Education, Culture, Sports, Science and TechnologyNational Science Foundation
KeywordsNeuroscienceInhibitory postsynaptic potentialExcitatory postsynaptic potentialTranscranial magnetic stimulationAxonDepolarizationStimulus (psychology)StimulationWhite matterHuman brainChemistryPsychologyBiologyMagnetic resonance imagingBiophysicsMedicine

Abstract

fetched live from OpenAlex

Transcranial (electro)magnetic stimulation (TMS) is currently the method of choice to non-invasively induce neural activity in the human brain. A single transcranial stimulus induces a time-varying electric field in the brain that may evoke action potentials in cortical neurons. The spatial relationship between the locally induced electric field and the stimulated neurons determines axonal depolarization. The induced electric field is influenced by the conductive properties of the tissue compartments and is strongest in the superficial parts of the targeted cortical gyri and underlying white matter. TMS likely targets axons of both excitatory and inhibitory neurons. The propensity of individual axons to fire an action potential in response to TMS depends on their geometry, myelination and spatial relation to the imposed electric field and the physiological state of the neuron. The latter is determined by its transsynaptic dendritic and somatic inputs, intrinsic membrane potential and firing rate. Modeling work suggests that the primary target of TMS is axonal terminals in the crown top and lip regions of cortical gyri. The induced electric field may additionally excite bends of myelinated axons in the juxtacortical white matter below the gyral crown. Neuronal excitation spreads ortho- and antidromically along the stimulated axons and causes secondary excitation of connected neuronal populations within local intracortical microcircuits in the target area. Axonal and transsynaptic spread of excitation also occurs along cortico-cortical and cortico-subcortical connections, impacting on neuronal activity in the targeted network. Both local and remote neural excitation depend critically on the functional state of the stimulated target area and network. TMS also causes substantial direct co-stimulation of the peripheral nervous system. Peripheral co-excitation propagates centrally in auditory and somatosensory networks, but also produces brain responses in other networks subserving multisensory integration, orienting or arousal. The complexity of the response to TMS warrants cautious interpretation of its physiological and behavioural consequences, and a deeper understanding of the mechanistic underpinnings of TMS will be critical for advancing it as a scientific and therapeutic tool.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.002
Science and technology studies0.0020.007
Scholarly communication0.0070.011
Open science0.0040.003
Research integrity0.0140.021
Insufficient payload (model declined to judge)0.0050.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.136
GPT teacher head0.410
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations546
Published2022
Admission routes1
Has abstractyes

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