Combining Transcranial Magnetic Stimulation
with Electroencephalography to Study Human
Cortical Excitability and Effective Connectivity
Mario Rosanova, Silvia Casarotto, Andrea Pigorini, Paola Canali,
Adenauer G. Casali, and Marcello Massimini
Abstract
Excitability and effective connectivity are key parameters of cortical circuits’ functioning. Moreover,
alterations of these parameters have been suggested to underlie neurologic and psychiatric conditions.
Transcranial Magnetic Stimulation (TMS) combined with neuronavigation systems, electroencephalogra-
phy (EEG), and reliable reconstruction of cortical generators allows to directly measure cortical excit-
ability and effective connectivity, noninvasively and with the appropriate temporal resolution
(milliseconds). Here, the main technical challenges that have to be dealt with to efficiently combine
navigated TMS with EEG on human subjects and a step-by-step experimental procedure to perform
a successful TMS/EEG measurement are presented. Finally, ad hoc analytical tools to extract indices of
excitability and effective connectivity from TMS/EEG data are described together with examples of their
application.
Key words: TMS/EEG, Neuronavigation, Cortical circuits, Perturbation, Noninvasive
1. Introduction
The human cerebral cortex is composed of several specialized
regions that communicate by means of short-range and long-
range bundles of axons. Corticocortical interactions occur on a
subsecond timescale (hundreds of milliseconds) and allow the
cerebral cortex, for instance, to rapidly integrate information
across different sensory modalities and submodalities, to orient
the focus of visual attention, to maintain objects’ representations
in the visual working memory, to retrieve memories and,
more generally, to generate conscious experiences. Moreover,
physiological and pathological alterations of the excitability and
effective connectivity within cortical circuits have been suggested
to underlie deep sleep, anesthesia and the most common
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Neuromethods (2012) 67: 435–457
DOI 10.1007/7657_2011_15
© Springer Science+Business Media, LLC 2011
Published online: 27 November 2011