Targeting brain networks with multichannel transcranial current stimulation (tCS)

被引:46
作者
Ruffini, Giulio [1 ,2 ]
Wendling, Fabrice [3 ]
Sanchez-Todo, Roser [1 ]
Santarnecchi, Emiliano [4 ]
机构
[1] Neuroelectrics, Barcelona 08035, Spain
[2] Starlab Barcelona, Barcelona 08035, Spain
[3] Univ Rennes, INSERM, LTSI, Rennes, France
[4] Harvard Med Sch, Beth Israel Med Ctr, Berenson Allen Ctr Noninvas Brain Stimulat, Boston, MA 02115 USA
基金
欧盟地平线“2020”;
关键词
tDCS; tCS; tACS; tES; fMRI; rs-fcMRI; EEG; CONNECTIVITY; MODELS; CORTEX; SCHIZOPHRENIA; OPTIMIZATION; ORGANIZATION; MECHANISMS; EPILEPSY; MEG;
D O I
10.1016/j.cobme.2018.11.001
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The brain is a complex, plastic, electrical network whose dysfunctions result in neurological disorders. Multichannel transcranial electrical stimulation (tCS) is a non-invasive neuromodulatory technique with the potential for network-oriented therapy. Challenges to realizing this vision include the proper identification of involved networks in a patient-specific context, a deeper understanding of the effects of stimulation on interconnected neuronal populations - both immediate and plastic - and, based on these, developing strategies to personalize brain stimulation interventions. For this reason, personalized hybrid biophysical and physiological models of brain networks are poised to play a key role in the evolution of network-oriented transcranial stimulation. We review some of the recent work in this emerging area of research and provide an outlook for future modeling and experimental work, as well as for developing its clinical applications in fields such as epilepsy.
引用
收藏
页码:70 / 77
页数:8
相关论文
共 67 条
[1]   Efficiency and cost of economical brain functional networks [J].
Achard, Sophie ;
Bullmore, Edward T. .
PLOS COMPUTATIONAL BIOLOGY, 2007, 3 (02) :174-183
[2]   Personality Is Reflected in the Brain's Intrinsic Functional Architecture [J].
Adelstein, Jonathan S. ;
Shehzad, Zarrar ;
Mennes, Maarten ;
DeYoung, Colin G. ;
Zuo, Xi-Nian ;
Kelly, Clare ;
Margulies, Daniel S. ;
Bloomfield, Aaron ;
Gray, Jeremy R. ;
Castellanos, F. Xavier ;
Milham, Michael P. .
PLOS ONE, 2011, 6 (11)
[3]   Brain networks under attack: robustness properties and the impact of lesions [J].
Aerts, Hannelore ;
Fias, Wim ;
Caeyenberghs, Karen ;
Marinazzo, Daniele .
BRAIN, 2016, 139 :3063-3083
[4]   Modeling the Impact of Lesions in the Human Brain [J].
Alstott, Jeffrey ;
Breakspear, Michael ;
Hagmann, Patric ;
Cammoun, Leila ;
Sporns, Olaf .
PLOS COMPUTATIONAL BIOLOGY, 2009, 5 (06)
[5]   Resting-state connectivity in the prodromal phase of schizophrenia: Insights from EEG microstates [J].
Andreou, Christina ;
Faber, Pascal L. ;
Leicht, Gregor ;
Schoettle, Daniel ;
Polomac, Nenad ;
Hanganu-Opatz, Ileana L. ;
Lehmann, Dietrich ;
Mulert, Christoph .
SCHIZOPHRENIA RESEARCH, 2014, 152 (2-3) :513-520
[6]   Low intensity transcranial electric stimulation: Safety, ethical, legal regulatory and application guidelines [J].
Antal, A. ;
Alekseichuk, I. ;
Bikson, M. ;
Brockmoeller, J. ;
Brunoni, A. R. ;
Chen, R. ;
Cohen, L. G. ;
Dowthwaite, G. ;
Ellrich, J. ;
Floeel, A. ;
Fregni, F. ;
George, M. S. ;
Hamilton, R. ;
Haueisen, J. ;
Herrmann, C. S. ;
Hummel, F. C. ;
Lefaucheur, J. P. ;
Liebetanz, D. ;
Loo, C. K. ;
McCaig, C. D. ;
Miniussi, C. ;
Miranda, P. C. ;
Moliadze, V. ;
Nitsche, M. A. ;
Nowak, R. ;
Padberg, F. ;
Pascual-Leone, A. ;
Poppendieck, W. ;
Priori, A. ;
Rossi, S. ;
Rossini, P. M. ;
Rothwell, J. ;
Rueger, M. A. ;
Ruffini, G. ;
Schellhorn, K. ;
Siebner, H. R. ;
Ugawa, Y. ;
Wexler, A. ;
Ziemann, U. ;
Hallett, M. ;
Paulus, W. .
CLINICAL NEUROPHYSIOLOGY, 2017, 128 (09) :1774-1809
[7]   Data-driven brain network models differentiate variability across language tasks [J].
Bansal, Kanika ;
Medaglia, John D. ;
Bassett, Danielle S. ;
Vettel, Jean M. ;
Muldoon, Sarah F. .
PLOS COMPUTATIONAL BIOLOGY, 2018, 14 (10)
[8]   Personalized brain network models for assessing structure-function relationships [J].
Bansal, Kanika ;
Nakuci, Johan ;
Muldoon, Sarah Feldt .
CURRENT OPINION IN NEUROBIOLOGY, 2018, 52 :42-47
[9]   Defining epileptogenic networks: Contribution of SEEG and signal analysis [J].
Bartolomei, Fabrice ;
Lagarde, Stanislas ;
Wendling, Fabrice ;
McGonigal, Aileen ;
Jirsa, Viktor ;
Guye, Maxime ;
Benar, Christian .
EPILEPSIA, 2017, 58 (07) :1131-1147
[10]   Network neuroscience [J].
Bassett, Danielle S. ;
Sporns, Olaf .
NATURE NEUROSCIENCE, 2017, 20 (03) :353-364