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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Introduction

Transcranial magnetic stimulation (TMS) induces electric fields (E-fields) that propagate through white matter pathways, influencing distributed brain networks beyond the stimulation site. Deep TMS using the H7 coil is an FDA-cleared treatment for obsessive-compulsive disorder (OCD), targeting the medial prefrontal cortex (mPFC) and anterior cingulate cortex (ACC), key nodes of the cortico-striato-thalamo-cortical (CSTC) circuit. However, how individual differences in E-field distribution and network propagation contribute to clinical response remains unclear. We hypothesized that a dose-dependent local neuronal response, amplified through structural connectivity, predicts treatment outcome following deep TMS in OCD.


Methods

Twenty-two patients with OCD received 6 weeks of TMS (20 Hz, 100% rMT) targeting the mPFC/ACC. Individual E-field distributions were computed and averaged within 90 AAL brain regions. Network activation was modeled as A = (I − αC)-1 r, where C is the structural connectome, α is the network coupling strength, and r = f(e; β, θ) represents the local neuronal response to E-field magnitude e. Four neuronal response models were evaluated: excitatory/inhibitory sigmoid, exponential decay, and biphasic. (α, β, θ) were optimized across CSTC ROIs via leave-one-subject-out cross-validation. Predicted network activation was correlated with percentage improvement on the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS, Spearman).


Results

Across four candidate neuronal response models, only the biphasic model yielded a cross-validated prediction that survived FDR correction (Fig. 1). Network activation within the left superior orbital frontal region was positively correlated with percentage Y-BOCS improvement (r = 0.65, p_fdr = 0.012). The optimized parameters (β = 0.189, θ = 37.78, α = 0.879) defined an optimal E-field window of ~20–38 V/m; stimulation beyond this range produces reduced neuronal responses. The strong coupling (α = 0.879) indicates local effects are greatly amplified through structural connectivity. Parameter estimates were highly stable across LOSO folds (interquartile range = 0 for all parameters).



Discussion

These findings suggest that individual differences in therapeutic response to deep TMS may depend on both local E-field magnitude and its propagation through long-range structural networks. Furthermore, the left frontal superior orbital region might be an effective TMS target for OCD treatment. The biphasic dose-response suggests an optimal E-field window for therapeutic stimulation. Below this window, stimulation is insufficient to drive meaningful neuronal responses; above it, excessive E-field likely reduces neuronal output, forming an inverted-U dose-response relationship. Together, these results support a network-based framework for the mechanisms of deep TMS in OCD and highlight the importance of individualized E-field optimization.

Figure 1. Correlations between E-field/network activation and clinical outcome in the CSTC ROIs. (a) Raw E-field showed no significant correlations. (b) The biphasic neuronal response model identified the left superior orbital frontal cortex as significantly associated with percentage Y-BOCS improvement. (c-f) Network activation/raw E-field correlation maps, and fitted biphasic neuronal response fReferences

1. Harel, M., Perini, I., Kämpe, R., Alyagon, U., Shalev, H., Besser, I., ... & Zangen, A. (2022). Repetitive transcranial magnetic stimulation in alcohol dependence: a randomized, double-blind, sham-controlled proof-of-concept trial targeting the medial prefrontal and anterior cingulate cortices. Biological psychiatry, 91(12), 1061-1069.
2. Burguiere, E., Monteiro, P., Mallet, L., Feng, G., & Graybiel, A. M. (2015). Striatal circuits, habits, and implications for obsessive–compulsive disorder. Current opinion in neurobiology, 30, 59-65.



Acknowledgement
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Speakers
HS

Helmut Schmidt

Scientific researcher, Institute of Computer Science, Czech Academy of Sciences
JH

Jaroslav Hlinka

Senior researcher, Institute of Computer Science of the Czech Academy of Sciences
Currently                                I am leading the and also serve as the Head of the Department of Complex Systems and as the Chair of the Council of the of the Czech Academy of Sciences.
Brief bio After obtaining master degrees in Psychology from Charles University (2005) and in Mathematics from Czech Technical University (2006), I went on the quest of applying mathematics in helping to understand the complex activity of human brain through neuroimaging data analysis... Read More →
Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

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