Combined neurostimulation and neuroimaging in cognitive neuroscience: past, present, and future

Bestmann, Sven; Feredoes, Eva

doi:10.1111/nyas.12110

Cited by 99 publications

(95 citation statements)

References 198 publications

(357 reference statements)

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“…It is well-known that TMS effects are not limited to the stimulated area and that functional changes can also be seen in remote cortical brain areas [54, 55]. What is true for functional changes might also be right for structural changes.…”

Section: Discussionmentioning

confidence: 99%

Structural Brain Changes Following Left Temporal Low-Frequency rTMS in Patients with Subjective Tinnitus

et al. 2014

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Repetitive transcranial magnetic stimulation (rTMS) of the temporal cortex has been used to treat patients with subjective tinnitus. While rTMS is known to induce morphological changes in healthy subjects, no study has investigated yet whether rTMS treatment induces grey matter (GM) changes in tinnitus patients as well, whether these changes are correlated with treatment success, and whether GM at baseline is a useful predictor for treatment outcome. Therefore, we examined magnetic resonance images of 77 tinnitus patients who were treated with rTMS of the left temporal cortex (10 days, 2000 stimuli/day, 1 Hz). At baseline and after the last treatment session high-resolution structural images of the brain were acquired and tinnitus severity was assessed. For a subgroup of 41 patients, additional brain scans were done after a follow-up period of 90 days. GM changes were analysed by means of voxel based morphometry. Transient GM decreases were detectable in several brain regions, especially in the insula and the inferior frontal cortex. These changes were not related to treatment outcome though. Baseline images correlated with change in tinnitus severity in the frontal cortex and the lingual gyrus, suggesting that GM at baseline might hold potential as a possible predictor for treatment outcome.

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Section: Discussionmentioning

confidence: 99%

Structural Brain Changes Following Left Temporal Low-Frequency rTMS in Patients with Subjective Tinnitus

et al. 2014

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“…The author is not aware of any concurrent TMS-fMRI application in the study of language. For a comprehensive overview of previous simultaneous TMS-fMRI studies, the reader is thus referred to a recent review [106]. …”

Section: Combining Nibs With Neuroimaging Techniquesmentioning

confidence: 99%

Adaptive Plasticity in the Healthy Language Network: Implications for Language Recovery after Stroke

Hartwigsen

2016

Neural Plasticity

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Across the last three decades, the application of noninvasive brain stimulation (NIBS) has substantially increased the current knowledge of the brain's potential to undergo rapid short-term reorganization on the systems level. A large number of studies applied transcranial magnetic stimulation (TMS) and transcranial direct current stimulation (tDCS) in the healthy brain to probe the functional relevance and interaction of specific areas for different cognitive processes. NIBS is also increasingly being used to induce adaptive plasticity in motor and cognitive networks and shape cognitive functions. Recently, NIBS has been combined with electrophysiological techniques to modulate neural oscillations of specific cortical networks. In this review, we will discuss recent advances in the use of NIBS to modulate neural activity and effective connectivity in the healthy language network, with a special focus on the combination of NIBS and neuroimaging or electrophysiological approaches. Moreover, we outline how these results can be transferred to the lesioned brain to unravel the dynamics of reorganization processes in poststroke aphasia. We conclude with a critical discussion on the potential of NIBS to facilitate language recovery after stroke and propose a phase-specific model for the application of NIBS in language rehabilitation.

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“…Moreover, techniques supporting target engagement provide novel strategies for treating psychiatric and neurological disorders marked by aberrant neural dynamics (Uhlhaas and Singer, 2006, 2012). An intriguing approach is to combine neuroimaging with brain stimulation (Bestmann and Feredoes, 2013; Bergmann et al, 2016; Siebner et al, 2009). The technical capability to perform integrated stimulation-recording of brain activity exists at a variety of scales: invasive microelectrode arrays (Maynard et al, 1997; Jimbo et al, 2003; Dostrovsky et al, 2000), deep brain stimulation (DBS) (Kent and Grill, 2013; Lempka and McIntyre, 2013; Rosin et al, 2011), depth electrodes (Rosenberg et al, 2009), cortical surface electrode arrays (Trebuchon et al, 2012), brain machine interfaces (Guggenmos et al, 2013), and non-invasive scalp electrode arrays that are commonly used in human neuroscience (Thut et al, 2005; Faria et al, 2012; Fernández-Corazza et al, 2016; Wagner et al, 2016b).…”

Section: Introductionmentioning

confidence: 99%

Optimal use of EEG recordings to target active brain areas with transcranial electrical stimulation

et al. 2017

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To demonstrate causal relationships between brain and behavior, investigators would like to guide brain stimulation using measurements of neural activity. Particularly promising in this context are electroencephalography (EEG) and transcranial electrical stimulation (TES), as they are linked by a reciprocity principle which, despite being known for decades, has not led to a formalism for relating EEG recordings to optimal stimulation parameters. Here we derive a closed-form expression for the TES configuration that optimally stimulates (i.e., targets) the sources of recorded EEG, without making assumptions about source location or distribution. We also derive a duality between TES targeting and EEG source localization, and demonstrate that in cases where source localization fails, so does the proposed targeting. Numerical simulations with multiple head models confirm these theoretical predictions and quantify the achieved stimulation in terms of focality and intensity. We show that constraining the stimulation currents automatically selects optimal montages that involve only a few (4–7) electrodes, with only incremental loss in performance when targeting focal activations. The proposed technique allows brain scientists and clinicians to rationally target the sources of observed EEG and thus overcomes a major obstacle to the realization of individualized or closed-loop brain stimulation.

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Combined neurostimulation and neuroimaging in cognitive neuroscience: past, present, and future

Cited by 99 publications

References 198 publications

Structural Brain Changes Following Left Temporal Low-Frequency rTMS in Patients with Subjective Tinnitus

Structural Brain Changes Following Left Temporal Low-Frequency rTMS in Patients with Subjective Tinnitus

Adaptive Plasticity in the Healthy Language Network: Implications for Language Recovery after Stroke

Optimal use of EEG recordings to target active brain areas with transcranial electrical stimulation

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