Static and dynamic network properties of the repetitive transcranial magnetic stimulation target predict changes in emotion regulation in obsessive-compulsive disorder

被引:24
作者
Douw, Linda [1 ,2 ]
Quaak, Mirjam [1 ,3 ]
Fitzsimmons, Sophie M. D. D. [1 ,3 ]
de Wit, Stella J. [3 ]
van der Werf, Ysbrand D. [1 ]
van den Heuvel, Odile A. [1 ,3 ,4 ]
Vriend, Chris [1 ,3 ]
机构
[1] Vrije Univ Amsterdam, Dept Anat & Neurosci, Amsterdam UMC, Amsterdam Neurosci, De Boelelaan 1108, NL-1081 HZ Amsterdam, Netherlands
[2] Massachusetts Gen Hosp, Athinoula A Martinos Ctr Biomed Imaging, Dept Radiol, 149 13th St, Boston, MA 02129 USA
[3] Vrije Univ Amsterdam, Dept Psychiat, Amsterdam UMC, Amsterdam Neurosci, De Boelelaan 1108, NL-1081 HZ Amsterdam, Netherlands
[4] Haukeland Hosp, OCD Team, Postboks 1400, N-5021 Bergen, Norway
关键词
Graph theory; Temporal networks; Resting-state fMRI; Dorsolateral prefrontal cortex; Connectome; Functional connectivity; TIME-VARYING CONNECTIVITY; FUNCTIONAL BRAIN NETWORKS; VARIABILITY; SCALE; FLUCTUATIONS; MECHANISMS; DEPRESSION; MODULARITY; RELEVANCE; RESPONSES;
D O I
10.1016/j.brs.2019.10.017
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: Repetitive transcranial magnetic stimulation (rTMS) is a non-invasive neuromodulation technique to treat psychiatric disorders, such as obsessive-compulsive disorder (OCD). However, the rTMS response varies across subjects. Objective/hypothesis: We hypothesize that baseline network properties of the rTMS target may help understand this variation and predict response. Methods: Excitatory rTMS to the dorsolateral prefrontal cortex (dlPFC) was applied in 19 unmedicated OCD patients, while inhibitory dlPFC-rTMS was applied in 17 healthy controls. The vertex was used as an active control target (19 patients, 18 controls). The rTMS response was operationalized as the individual change in state distress rating during an emotion regulation task. At baseline, subjects underwent resting-state functional MRI. The brain network was constructed by calculating wavelet coherence between regional activity of regions in the Brainnetome atlas. Local and integrative static connectivity and the dynamic network role of the target were calculated. Baseline target region network features were non-parametrically correlated to rTMS response. Results: In the dIPFC-stimulated patients, greater local connectivity (Kendall's Tau = -0.415, p = 0.013) and less promiscuous role of the target (Kendall's Tau = 0.389, p = 0.025) at baseline were related to greater distress reduction after excitatory rTMS. There were no significant associations in healthy subjects nor in the active control stimulated patients. Conclusions: Pre-treatment network topological indices predict rTMS-induced emotional response changes in OCD, such that greater baseline resting-state local connectivity and less temporal integration of the target region imply greater stimulation effects. These results may lead the way towards personalized neuromodulation in OCD. (C) 2019 The Author(s). Published by Elsevier Inc.
引用
收藏
页码:318 / 326
页数:9
相关论文
共 79 条
[11]   Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity [J].
Ciric, Rastko ;
Wolf, Daniel H. ;
Power, Jonathan D. ;
Roalf, David R. ;
Baum, Graham L. ;
Ruparel, Kosha ;
Shinohara, Russell T. ;
Elliott, Mark A. ;
Eickhoff, Simon B. ;
Davatzikos, Christos ;
Gur, Ruben C. ;
Gur, Raquel E. ;
Bassett, Danielle S. ;
Satterthwaite, Theodore D. .
NEUROIMAGE, 2017, 154 :174-187
[12]   Transcranial magnetic stimulation in obsessive-compulsive disorder: A focus on network mechanisms and state dependence [J].
Cocchi, Luca ;
Zalesky, Andrew ;
Nott, Zoie ;
Whybird, Genevieve ;
Fitzgerald, Paul B. ;
Breakspear, Michael .
NEUROIMAGE-CLINICAL, 2018, 19 :661-674
[13]   Combining high and low frequencies in rTMS antidepressive treatment:: preliminary results [J].
Conca, A ;
Di Pauli, J ;
Beraus, W ;
Hausmann, A ;
Peschina, W ;
Schneider, H ;
König, P ;
Hinterhuber, H .
HUMAN PSYCHOPHARMACOLOGY-CLINICAL AND EXPERIMENTAL, 2002, 17 (07) :353-356
[14]   A multi-modal investigation of the roles of distress tolerance and emotional reactivity in obsessive-compulsive symptoms [J].
Cougle, Jesse R. ;
Timpano, Kiara R. ;
Sarawgi, Shivali ;
Smith, Christian M. ;
Fitch, Kristin E. .
ANXIETY STRESS AND COPING, 2013, 26 (05) :478-492
[15]   Noninvasive brain stimulation: from physiology to network dynamics and back [J].
Dayan, Eran ;
Censor, Nitzan ;
Buch, Ethan R. ;
Sandrini, Marco ;
Cohen, Leonardo G. .
NATURE NEUROSCIENCE, 2013, 16 (07) :838-844
[16]   Emotion regulation before and after transcranial magnetic stimulation in obsessive compulsive disorder [J].
de Wit, S. J. ;
van der Werf, Y. D. ;
Mataix-Cols, D. ;
Trujillo, J. P. ;
van Oppen, P. ;
Veltman, D. J. ;
van den Heuvel, O. A. .
PSYCHOLOGICAL MEDICINE, 2015, 45 (14) :3059-3073
[17]  
de Wit SJ, 2013, J OBSESS-COMPULS REL, V2, P226
[18]   A probabilistic MR atlas of the human cerebellum [J].
Diedrichsen, Joern ;
Balsters, Joshua H. ;
Flavell, Jonathan ;
Cussans, Emma ;
Ramnani, Narender .
NEUROIMAGE, 2009, 46 (01) :39-46
[19]   STATE-DEPENDENT VARIABILITY OF DYNAMIC FUNCTIONAL CONNECTIVITY BETWEEN FRONTOPARIETAL AND DEFAULT NETWORKS RELATES TO COGNITIVE FLEXIBILITY [J].
Douw, Linda ;
Wakeman, Daniel G. ;
Tanaka, Naoaki ;
Liu, Hesheng ;
Stufflebeam, Steven M. .
NEUROSCIENCE, 2016, 339 :12-21
[20]   Anhedonia and Reward-Circuit Connectivity Distinguish Nonresponders from Responders to Dorsomedial Prefrontal Repetitive Transcranial Magnetic Stimulation in Major Depression [J].
Downar, Jonathan ;
Geraci, Joseph ;
Salomons, Tim V. ;
Dunlop, Katharine ;
Wheeler, Sarah ;
McAndrews, Mary Pat ;
Bakker, Nathan ;
Blumberger, Daniel M. ;
Daskalakis, Zafiris J. ;
Kennedy, Sidney H. ;
Flint, Alastair J. ;
Giacobbe, Peter .
BIOLOGICAL PSYCHIATRY, 2014, 76 (03) :176-185