2014
DOI: 10.1007/978-1-4939-0879-0_5
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Single-Pulse Transcranial Magnetic Stimulation (TMS) Protocols and Outcome Measures

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Cited by 19 publications
(25 citation statements)
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“…According to this model, beta events arise from simultaneous weak proximal and strong distal excitatory drives to pyramidal neurons in layers II/III and V. This same excitatory projection likely also synapses on inhibitory neurons in superficial cortical layers (6,31,8), which is consistent with the notion that sensorimotor beta activity produces an inhibitory cortical state (32,33). Low-intensity TMS is known to preferentially activate layer V corticospinal neurons trans-synaptically through layer II/III excitatory and inhibitory interneurons, as well as cortico-cortical connections (34,35). Thus, even when beta events do not predict an experimental outcome more strongly than mean beta power (8,9, and the current work), accounting for event characteristics can offer a more physiologically-informed framework for interpreting empirical findings.…”
Section: Discussionsupporting
confidence: 73%
“…According to this model, beta events arise from simultaneous weak proximal and strong distal excitatory drives to pyramidal neurons in layers II/III and V. This same excitatory projection likely also synapses on inhibitory neurons in superficial cortical layers (6,31,8), which is consistent with the notion that sensorimotor beta activity produces an inhibitory cortical state (32,33). Low-intensity TMS is known to preferentially activate layer V corticospinal neurons trans-synaptically through layer II/III excitatory and inhibitory interneurons, as well as cortico-cortical connections (34,35). Thus, even when beta events do not predict an experimental outcome more strongly than mean beta power (8,9, and the current work), accounting for event characteristics can offer a more physiologically-informed framework for interpreting empirical findings.…”
Section: Discussionsupporting
confidence: 73%
“…According to this model, beta events arise from simultaneous weak proximal and strong distal excitatory drives to pyramidal neurons in layers II/III and V. This same excitatory projection likely also synapses on inhibitory neurons in superficial cortical layers 6,8,15 , which is consistent with the notion that sensorimotor beta activity produces an inhibitory cortical state 31,32 . TMS at lower intensities is known to preferentially activate layer V corticospinal neurons trans-synaptically through layer II/III excitatory and inhibitory interneurons, as well as cortico-cortical connections 33,34 . This indirect activation of layer V corticospinal neurons produces I-waves at the spinal level and MEPs at the muscle level.…”
Section: Discussionmentioning
confidence: 99%
“…During beta events, the excitatory drive to inhibitory interneurons in superficial cortical layers may thus increase the inhibitory tone of this interneuron pool, generating an inverse relationship between beta event presence and the elicited MEP size as previously reported 24,25 . TMS at higher intensities 35 , in contrast, also directly activates the axons of layer V corticospinal neurons 33,34 , which could feasibly overcome any inhibitory tone produced by inhibitory interneurons in superficial cortical layers. The strong excitatory drive to layer V corticospinal neurons that generates beta events may amplify this direct axonal activation by increasing the pool of layer V corticospinal neurons that are recruited by TMS, producing a positive relationship between beta event presence and MEP size as observed here.…”
Section: Discussionmentioning
confidence: 99%
“…Since MEPs were recorded during active contractions (i.e., 10% MVC), it was also possible to record the cortical silent period (CSP) of the MEPs from the same trials. CSP was calculated from the responses evoked at 70% of the stimulator output (Farzan 2014).…”
Section: Transcranial Magnetic Stimulation (Tms)mentioning
confidence: 99%
“…The average MEP amplitudes were plotted relative to the TMS stimulation intensities and a linear fit was obtained using simple linear regression. The slope of the linear regression line was used to define the gain parameter of the input-output relationship curve (Figure 2A and Figure 2E) (Farzan 2014).…”
Section: Mepsmentioning
confidence: 99%