Neuromodulatory transcranial magnetic stimulation (TMS) changes functional connectivity proportional to the electric-field induced by the TMS pulse

被引:0
|
作者
Balderston, Nicholas L. [1 ]
Duprat, Romain J. [1 ]
Long, Hannah [1 ]
Scully, Morgan [1 ]
Deluisi, Joseph A. [1 ]
Figueroa-Gonzalez, Almaris [1 ]
Teferi, Marta [1 ]
Sheline, Yvette I. [1 ]
Oathes, Desmond J. [1 ]
机构
[1] Univ Penn, Ctr Neuromodulat Depress & Stress, Dept Psychiat, Philadelphia, PA USA
关键词
Theta burst stimulation; Functional connectivity; Electric-field modeling; fMRI; TMS; Neuronavigation; THETA-BURST STIMULATION; RESTING-STATE CONNECTIVITY; BRAIN-STIMULATION; MAJOR DEPRESSION; EFFICACY; NETWORKS; CORTEX; RTMS; EXCITABILITY; HIPPOCAMPUS;
D O I
10.1016/j.clinph.2024.06.007
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Objective: Transcranial magnetic stimulation (TMS) can efficiently and robustly modulate synaptic plasticity, but little is known about how TMS affects functional connectivity (rs-fMRI). Accordingly, this project characterized TMS-induced rsFC changes in depressed patients who received 3 days of left prefrontal intermittent theta burst stimulation (iTBS). Methods: rs-fMRI was collected from 16 subjects before and after iTBS. Correlation matrices were constructed from the cleaned rs-fMRI data. Electric-field models were conducted and used to predict prepost changes in rs-fMRI. Site by orientation heatmaps were created for vectors centered on the stimulation site and a control site (contralateral motor cortex). Results: For the stimulation site, there was a clear relationship between both site and coil orientation, and connectivity changes. As distance from the stimulation site increased, prediction accuracy decreased. Similarly, as eccentricity from the optimal orientation increased, prediction accuracy decreased. The systematic effects described above were not apparent in the heatmap centered on the control site. Conclusions: These results suggest that rs-fMRI following iTBS changes systematically as a function of the distribution of electrical energy delivered from the TMS pulse, as represented by the e-field model. Significance: This finding lays the groundwork for future studies to individualize TMS targeting based on how predicted rs-fMRI changes might impact psychiatric symptoms. (c) 2024 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:16 / 25
页数:10
相关论文
共 50 条
  • [31] A specific phase of transcranial alternating current stimulation at the β frequency boosts repetitive paired-pulse TMS-induced plasticity
    Nakazono, Hisato
    Ogata, Katsuya
    Takeda, Akinori
    Yamada, Emi
    Oka, Shinichiro
    Tobimatsu, Shozo
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [32] Assessing the impact of repetitive transcranial magnetic stimulation on effective connectivity in autism spectrum disorder: An initial exploration using TMS-EEG analysis
    Yang, Yingxue
    Song, Penghui
    Wang, Yuping
    HELIYON, 2024, 10 (11)
  • [33] Functional connectivity of the frontotemporal network in preattentive detection of abstract changes: Perturbs and observes with transcranial magnetic stimulation and event-related optical signal
    Xiao, Xue-Zhen
    Shum, Yu-Hei
    Lui, Troby K. -Y.
    Wang, Yang
    Cheung, Alexandra T. -C.
    Chu, Winnie C. W.
    Neggers, Sebastiaan F. W.
    Chan, Sandra S. -M.
    Tse, Chun-Yu
    HUMAN BRAIN MAPPING, 2020, 41 (11) : 2883 - 2897
  • [34] Left dorsolateral prefrontal transcranial magnetic stimulation (TMS): Sleep factor changes during treatment in patients with pharmacoresistant major depressive disorder
    Rosenquist, Peter B.
    Krystal, Andrew
    Heart, Karen L.
    Demitrack, Mark A.
    McCall, W. Vaughn
    PSYCHIATRY RESEARCH, 2013, 205 (1-2) : 67 - 73
  • [35] Fast multigrid-based computation of the induced electric field for transcranial magnetic stimulation
    Laakso, Ilkka
    Hirata, Akimasa
    PHYSICS IN MEDICINE AND BIOLOGY, 2012, 57 (23) : 7753 - 7765
  • [36] Neural Network Model for Estimation of the Induced Electric Field During Transcranial Magnetic Stimulation
    Afuwape, Oluwaponmile F.
    Olafasakin, Olumide O.
    Jiles, David C.
    IEEE TRANSACTIONS ON MAGNETICS, 2022, 58 (02)
  • [37] Changes in functional connectivity after theta-burst transcranial magnetic stimulation for post-traumatic stress disorder: a machine-learning study
    Zandvakili, Amin
    Swearingen, Hannah R.
    Philip, Noah S.
    EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE, 2021, 271 (01) : 29 - 37
  • [38] Probe Design for Measurement and Verification of Electric Field Induced by Figure-8 Coil in Transcranial Magnetic Stimulation
    Wu, Nianshuang
    Wu, Zhen
    Zhang, Cheng
    Wu, Changzhe
    Huo, Xiaolin
    Zhang, Guanghao
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 73
  • [39] Changes of cortical excitability as markers of antidepressant response in bipolar depression: preliminary data obtained by combining transcranial magnetic stimulation (TMS) and electroencephalography (EEG)
    Canali, Paola
    Papa, Giovanna Sferrazza
    Casali, Adenauer G.
    Schiena, Giandomenico
    Fecchio, Matteo
    Pigorini, Andrea
    Smeraldi, Enrico
    Colombo, Cristina
    Benedetti, Francesco
    BIPOLAR DISORDERS, 2014, 16 (08) : 809 - 819
  • [40] How conductivity boundaries influence the electric field induced by transcranial magnetic stimulation in in vitro experiments
    Sundaram, Padmavathi
    Dong, Chunling
    Makaroff, Sergey
    Okada, Yoshio
    BRAIN STIMULATION, 2024, 17 (05) : 1034 - 1044