Beth L. Parkin, Hamed Ekhtiari, Vincent F. Walsh  Neuron 

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Non-invasive Human Brain Stimulation in Cognitive Neuroscience: A Primer  Beth L. Parkin, Hamed Ekhtiari, Vincent F. Walsh  Neuron  Volume 87, Issue 5, Pages 932-945 (September 2015) DOI: 10.1016/j.neuron.2015.07.032 Copyright © 2015 Elsevier Inc. Terms and Conditions

Figure 1 There Are Several Ways of Applying TMS in Cognitive Studies TMS can be applied in single pulses (spTMS), multiple pulses, or repetitively (rTMS, applied in low or high frequencies). In theta-burst stimulation (TBS), there are three 50-Hz pulses applied at 5 Hz for 20–40 s (continuous TBS, cTBS) or each burst is applied for 2 s and repeated every 10 s for 190 s (intermittent TBS, iTBS). In a third variant, intermediate TBS (imTBS), 5 s burst trains are repeated every 15 s. These variants are guides rather than exhaustive, and not all possibilities are shown here. The choice of TMS application depends on the hypothesis and purpose of the experiment and knowledge of physiological responses. Figure from Dayan et al., 2013. Neuron 2015 87, 932-945DOI: (10.1016/j.neuron.2015.07.032) Copyright © 2015 Elsevier Inc. Terms and Conditions

Figure 2 Amassian’s Experiments These experiments still stand as the classic example of an interference effect in TMS. Subjects were presented with trigrams and TMS was applied before or after onset of the visual stimuli. Masking of the first trigram produced by the presentation of a second trigram can be unmasked by TMS suppression of the second trigram. The proportion of trials in which the subjects correctly reported all the letters of the first trigram are presented as a function of the delay between the presentation of the second trigram and the TMS pulse. Numbers in parentheses are the number of trials with TMS and with SHAM TMS. MC, magnetic coil. Neuron 2015 87, 932-945DOI: (10.1016/j.neuron.2015.07.032) Copyright © 2015 Elsevier Inc. Terms and Conditions

Figure 3 TMS Adaptation (A) The TMS-adaptation paradigm. In this paradigm, visual adaptation is used to systematically manipulate the activation states of functionally distinct neural populations before application of TMS. In this study, subjects adapted to a combination of color and orientation. The adaptation period of 30 s was followed by 20 experimental trials in which subjects were asked to report the color of the test stimulus. Three TMS pulses were administered on each trial at stimulation onset asynchronies of 0, 50, and 100 ms after stimulus onset. (B) A schematic representation shows activation states of neurons tuned to green and red at various stages of the TMS- adaptation paradigm. At baseline, before adaptation, both neural populations are at their baseline level of activity. After adaptation to red, neurons tuned to green are more excitable than neurons tuned to red. This outcome of adaptation is reversed with TMS: facilitation of the adapted attribute is enhanced whereas detection of the unadapted attributes is suppressed. Taken from Silvanto et al., 2008. Neuron 2015 87, 932-945DOI: (10.1016/j.neuron.2015.07.032) Copyright © 2015 Elsevier Inc. Terms and Conditions

Figure 4 EEG and TMS Evoked potentials triggered by visual stimuli or TMS pulses and their modulation by perception and attention. (A and B) Probing Perception: the evoked potential elicited by (A) a TMS pulse or (B) a visual stimulus presented at detection threshold is modulated by perception (here examples are provided for left visual field stimuli only). (C and D) Modulating Brain Responses and Perception: visual-evoked potentials can be modulated by (C) TMS over the frontal fields during covert leftward attentional shifts, producing a baseline shift in early visual activity, and by (D) the direction of covert attention. (E) Right posterior parietal TMS in-between trials disrupts the visual-evoked potentials evoked by visual search arrays, but only when the attentional system needs to be updated due to a switch in target feature, again with corresponding behavioral effects. Figure from Taylor and Thut (2012). Neuron 2015 87, 932-945DOI: (10.1016/j.neuron.2015.07.032) Copyright © 2015 Elsevier Inc. Terms and Conditions

Figure 5 FMRI and TMS The size of the TBS disruptive effect for all stimulus categories in the three face-selective regions of interest: rOFA, rFFA, and rpSTS. The TBS disruptive effect was calculated by subtracting the percentage signal change for each stimulus category after TMS stimulation of the rOFA and rpSTS from the pre-TMS baseline. Hence, a positive score denotes aTBS-induced reduction in the region of interest. In the rpSTS, TBS to rOFA reduced the response to static but not dynamic faces and TBS to the rpSTS itself reduced the response to dynamic but not static faces (asterisk denotes a significant difference in Bonferroni corrected tests). TBS delivered over the rOFA reduced the response to static faces in the rOFA and in the rFFA (diamond denotes a significant difference in Bonferroni corrected tests). Error bars represent SE. Figure from Pitcher et al., 2014. Neuron 2015 87, 932-945DOI: (10.1016/j.neuron.2015.07.032) Copyright © 2015 Elsevier Inc. Terms and Conditions

Figure 6 Effect of tDCS Current on Single-Pulse MEP Amplitudes This figure taken from Batsikadze et al. (2013) shows that the “classic” inhibitory profile of 1 mA of cathodal DC stimulation is reversed when intensity is increased to 2 mA. Neuron 2015 87, 932-945DOI: (10.1016/j.neuron.2015.07.032) Copyright © 2015 Elsevier Inc. Terms and Conditions