Perturbing the Action Observation Network During Perception and Categorization of Actions
Cerebral Cortex March 2015;25:598–608
doi:10.1093/cercor/bht242
Advance Access publication October 1, 2013
Perturbing the Action Observation Network During Perception and Categorization
of Actions’ Goals and Grips: State-Dependency and Virtual Lesion TMS Effects
Pierre O. Jacquet1,2 and Alessio Avenanti1,3,4
1
Department of Psychology, Alma Mater Studiorum, University of Bologna, 40127 Bologna, Italy, 2INSERM U1028, CNRS
UMR5292, Lyon Neuroscience Research Center, 69676 Bron cedex, France, 3Centro studi e ricerche in Neuroscienze Cognitive,
Campus di Cesena, University of Bologna, 47521 Cesena, Italy and 4Istituto di Ricovero e Cura a Carattere Scientifico Fondazione
Santa Lucia, 00179 Roma, Italy
Address correspondence to Alessio Avenanti, Centro studi e ricerche in Neuroscienze Cognitive, Campus di Cesena, Università di Bologna.
Viale Europa 980, 47521 Cesena, Italy. Email: ; or to Pierre O. Jacquet, Université Paris-Descartes, Sorbonne Paris Cité,
Laboratoire Psychologie de la Perception CNRS UMR8158, 75006 Paris, France. Email:
Keywords: action observation network, action perception, somatosensory
cortex, state dependency, transcranial magnetic stimulation, virtual lesion
Introduction
Observing another individual manipulating an object (e.g., a
wine bottle) with the aim of achieving a specific purpose may
involve the processing of low- and high-level components of
the observed motor behavior, namely the specific grip used to
grasp the object (e.g., power or precision grip) and the
end-goal achieved via object manipulation (e.g., pouring a
glass or placing the bottle in the ice bucket). It has been
suggested that the ability to perceive and understand others’
actions depends on resonance mechanisms that map observed
motor acts onto one’s own action representations (Rizzolatti
and Craighero 2004; Wilson and Knoblich 2005; Keysers et al.
2010; Urgesi et al. 2010; Avenanti and Urgesi 2011; Kilner
2011; Borgomaneri et al. 2012) and are implemented in a widespread cortical network, usually referred to as the action observation network (AON). Classically, the inferior frontal cortex
(IFC, including the ventral premotor cortex and the posterior
part of the inferior frontal gyrus) and the anterior intraparietal
cortex (AIP) have been considered important nodes of the
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AON, mediating action perception through motor simulation
(di Pellegrino et al. 1992; Gallese et al. 1996; Fogassi et al. 2005;
Chong et al. 2008; Etzel et al. 2008; Kilner et al. 2009; Oosterhof
et al. 2010). In addition, mounting evidence suggests that the
somatosensory cortices may also be involved in perceiving
and internally simulating others’ behavioral states (Keysers et al.
2004; Bufalari et al. 2007; Ebisch et al. 2008; Valeriani et al.
2008; Avenanti et al. 2009; Aziz-Zadeh et al. 2012; Gazzola et al.
2012). In particular, the primary somatosensory cortex (S1) is
consistently active during action perception and execution
(Avikainen et al. 2002; Rossi et al. 2002; Costantini et al. 2005;
Avenanti et al. 2007; Gazzola and Keysers 2009; Turella et al.
2012) and may thus be considered an additional sensorimotor
node of the AON (Keysers et al. 2010).
One unresolved issue is whether, and how, low- and highlevel components of actions—namely the type of hand grip
and end-goals—are differentially represented in sensorimotor
regions of the AON and what is the respective contribution of
such regions to action perception. Imaging and neurophysiological studies have suggested that the IFC is involved in processing both low- and high-level components of seen actions,
whereas parietal nodes of the AON may be more involved in
processing high-level components (e.g., end-goals) (Iacoboni
et al. 2005; Hamilton and Grafton 2006, 2008; Grafton and
Hamilton 2007; Lestou et al. 2008; Grafton 2009; Majdandzic
et al. 2009; Bonini et al. 2010, 2012; Urgesi et al. 2010).
However, as AIP and S1 are often co-activated (Keysers et al.
2010), it is unclear whether these 2 regions play any differential role in action perception. Moreover, although several
studies using imaging and neurophysiological techniques have
suggested activation of IFC, AIP, and S1 during observation of
others’ actions (Caspers et al. 2010; Molenberghs et al. 2012), it
should be noted that these techniques provide correlational
evidence and cannot establish a direct causal link between
brain and function (Silvanto and Pascual-Leone 2012).
The precise aim of the present study is to test the causal
influences of IFC, AIP, and S1 in the perception of different
action components. To test the hypothesis that IFC has a major
role in processing grips and end-goals while parietal regions
would be mainly devoted to processing goals, we used transcranial magnetic stimulation-adaptation (TMS-A).
The TMS-A paradigm is based on the well-established notion
of “state-dependency”, i.e. that TMS effects depend on the
context and the initial state of the stimulated neurons (Lang et al.
2004; Siebner et al. 2004, 2009; Bestmann et al. 2010). Specifically, TMS is thought to differentially modulate neurons that are
Watching others grasping and using objects activates an action
observation network (AON), including inferior frontal (IFC), anterior
intraparietal (AIP), and somatosensory cortices (S1). Yet, causal evidence of the differential involvement of such AON sensorimotor
nodes in representing high- and low-level action components (i.e.,
end-goals and grip type) is meager. To address this issue, we used
transcranial magnetic stimulation-adaptation (TMS-A) during 2 novel
action perception tasks. Participants were shown adapting movies
displaying a demonstrator performing goal-directed actions with a tool,
using either power or precision grips. They were then asked to match
the end-goal (Goal-recognition task) or the grip (Grip-recognition task)
of actions shown in test pictures to the adapting movies. TMS was administered over IFC, AIP, or S1 during presentation of test pictures.
Virtual lesion-like effects were found in the Grip-recognition task
where IFC stimulation induced a general performance decrease,
suggesting a critical role of IFC in perceiving grips. In the Goal-recognition task, IFC and S1 stimulation differently affected the processing
of “adapted” and “nonadapted” goals. These “state-dependent” effects
suggest that the overall goal of seen actions is encoded into functionally distinct and spatially overlapping neural populations in IFC–S1 and
such encoding is critical for recognizing and understanding end-goals.
power vs. precision grip) were manipulated, in such a way that
either end-goal could be achieved with either grip ( presenting
a “many-to-one” mapping problem). In addition, subjects had
to perform 2 tasks. In the “Goal-recognition task,” participants
had to provide similarity judgments on the end-goal of the
action, independently of the ty (...truncated)