Network-level macroscale structural connectivity predicts propagation of transcranial magnetic stimulation

Momi, Davide; Ozdemir, Recep A.; Tadayon, Ehsan; Boucher, Pierre; Shafi, Mouhsin M.; Pascual‐Leone, Álvaro; Santarnecchi, Emiliano

doi:10.1016/j.neuroimage.2020.117698

Cited by 51 publications

(46 citation statements)

References 72 publications

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“…A recent study by our group has used a network-perturbation approach to characterize individual brain dynamics within discrete brain networks with high temporal resolution 13 , demonstrating how intrinsic network structural connectivity provides valuable information to estimate network engagement. Here, we further expand this concept by directly comparing the signal extracted from brain regions either functionally or structurally connected to the stimulation site.…”

Section: Discussionmentioning

confidence: 99%

“…The TMS pulses intensity was set at 120% of resting motor threshold (RMT) which was determined at the beginning of each TMS visit according to international TMS guidelines 21 . Methods for data acquisition are presented in the following paragraph and have been also described in 12 , 13 .…”

Section: Methodsmentioning

confidence: 99%

“…As reported in 13 , TMS was delivered using a figure-of-eight shaped coil with dynamic fluid cooling (Magspro 75 mm cool B-65, Magpro A/S., Denmark) attached to a MagPro X-100 stimulator (MagVenture A/S, Denmark). T1w anatomical images were imported into the Brainsight™ TMS Frameless Navigation system (Rogue Research Inc., Montreal, Canada), and a coregistration procedure was performed using scalp landmarks (nasion, vertex, and the two preauricular points) in order to monitor the coil position.…”

Section: Methodsmentioning

confidence: 99%

“…As reported in 13 , whole scalp 64-channel EEG data was collected with a TMS-compatible amplifier system (actiCHamp system, Brain Products GmbH, Munich, Germany) and labeled in accordance with the extended 10–20 international system. EEG data were online referenced to Fp1 electrode.…”

Section: Methodsmentioning

confidence: 99%

“…In this context, recent studies have focused on investigating individual RSNs dynamics, demonstrating how the effects of an externally induced network’s node perturbation mainly propagate within distal cortical regions belonging to the same network 11 , 12 . In a recent TMS-EEG study 13 , we have stimulated two RSNs (i.e. Default Mode Network, DMN, and Dorsal Attention Network, DAN) showing how network-level structural connectivity is more relevant than local and global brain properties in shaping TMS signal propagation.…”

Section: Introductionmentioning

confidence: 99%

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Perturbation of resting-state network nodes preferentially propagates to structurally rather than functionally connected regions

Momi

Ozdemir

Tadayon

et al. 2021

Sci Rep

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Combining Transcranial Magnetic Stimulation (TMS) with electroencephalography (EEG) offers the opportunity to study signal propagation dynamics at high temporal resolution in the human brain. TMS pulse induces a local effect which propagates across cortical networks engaging distant cortical and subcortical sites. However, the degree of propagation supported by the structural compared to functional connectome remains unclear. Clarifying this issue would help tailor TMS interventions to maximize target engagement. The goal of this study was to establish the contribution of functional and structural connectivity in predicting TMSinduced signal propagation after perturbation of two distinct brain networks. For this purpose, 24 healthy individuals underwent two identical TMS-EEG visits where neuronavigated TMS pulses were delivered to nodes of the default mode network (DMN) and the dorsal attention network (DAN). The functional and structural connectivity derived from each individual stimulation spot were characterized via functional magnetic resonance imaging (fMRI) and Diffusion Weighted Imaging (DWI), and signal propagation across these two metrics was compared. Direct comparison between the signal extracted from brain regions either functionally or structurally connected to the stimulation sites, shows a stronger activation over cortical areas connected via white matter pathways, with a minor contribution of functional projections. This pattern was not observed when analyzing spontaneous resting state EEG activity. Overall, results suggest that structural links can predict network-level response to perturbation more accurately than functional connectivity. Additionally, DWI-based estimation of propagation patterns can be used to estimate off-target engagement of other networks and possibly guide target selection to maximize specificity.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Perturbation of resting-state network nodes preferentially propagates to structurally rather than functionally connected regions

Momi

Ozdemir

Tadayon

et al. 2021

Sci Rep

Self Cite

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Tinnitus and Brain Stimulation

Ridder

Adhia

Langguth

2021

Current Topics in Behavioral Neurosciences

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Transcranial magnetic stimulation treatment in Alzheimer’s disease: a meta-analysis of its efficacy as a function of protocol characteristics and degree of personalization

et al. 2022

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Alzheimer’s disease (AD) represents the most common type of neurodegenerative disorder. Although our knowledge on the causes of AD remains limited and no curative treatments are available, several interventions have been proposed in trying to improve patients’ symptomatology. Among those, transcranial magnetic stimulation (TMS) has been shown a promising, safe and noninvasive intervention to improve global cognitive functioning. Nevertheless, we currently lack agreement between research studies on the optimal stimulation protocol yielding the highest efficacy in these patients. To answer this query, we conducted a systematic literature search in PubMed, PsycINFO and Scopus databases and meta-analysis of studies published in the last 10 years (2010–2021) according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Differently from prior published meta-analytic work, we investigated whether protocols that considered participants-specific neuroimaging scans for the selection of individualized stimulation targets held more successful outcomes compared to those relying on a generalized targeting selection criteria. We then compared the effect sizes of subsets of studies based on additional protocol characteristics (frequency, duration of intervention, number of stimulation sites, use of concomitant cognitive training and patients’ educational level). Our results confirm TMS efficacy in improving global cognitive functioning in mild-to-moderate AD patients, but also highlight the flaws of current protocols characteristics, including a possible lack of sufficient personalization in stimulation protocols.

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Network-level macroscale structural connectivity predicts propagation of transcranial magnetic stimulation

Cited by 51 publications

References 72 publications

Perturbation of resting-state network nodes preferentially propagates to structurally rather than functionally connected regions

Perturbation of resting-state network nodes preferentially propagates to structurally rather than functionally connected regions

Tinnitus and Brain Stimulation

Transcranial magnetic stimulation treatment in Alzheimer’s disease: a meta-analysis of its efficacy as a function of protocol characteristics and degree of personalization

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