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@ARTICLE{Prez:1034744,
author = {Pérez, Pauline and Manasova, Dragana and Hermann, Bertrand
and Raimondo, Federico and Rohaut, Benjamin and
Bekinschtein, Tristán A and Naccache, Lionel and Arzi, Anat
and Sitt, Jacobo D},
title = {{C}ontent–state dimensions characterize different types
of neuronal markers of consciousness},
journal = {Neuroscience of consciousness},
volume = {1},
issn = {2057-2107},
address = {Oxford},
publisher = {Oxford Univ. Press},
reportid = {FZJ-2024-07501},
pages = {niae027},
year = {2024},
abstract = {Identifying the neuronal markers of consciousness is key to
supporting the different scientific theories of
consciousness. Neuronal markers of consciousness can be
defined to reflect either the brain signatures underlying
specific conscious content or those supporting different
states of consciousness, two aspects traditionally studied
separately. In this paper, we introduce a framework to
characterize markers according to their dynamics in both the
“state” and “content” dimensions. The 2D space is
defined by the marker’s capacity to distinguish the
conscious states from non-conscious states (on the x-axis)
and the content (e.g. perceived versus unperceived or
different levels of cognitive processing on the y-axis).
According to the sign of the x- and y-axis, markers are
separated into four quadrants in terms of how they
distinguish the state and content dimensions. We implement
the framework using three types of electroencephalography
markers: markers of connectivity, markers of complexity, and
spectral summaries. The neuronal markers of state are
represented by the level of consciousness in (i) healthy
participants during a nap and (ii) patients with disorders
of consciousness. On the other hand, the neuronal markers of
content are represented by (i) the conscious content in
healthy participants’ perception task using a visual
awareness paradigm and (ii) conscious processing of
hierarchical regularities using an auditory local–global
paradigm. In both cases, we see separate clusters of markers
with correlated and anticorrelated dynamics, shedding light
on the complex relationship between the state and content of
consciousness and emphasizing the importance of considering
them simultaneously. This work presents an innovative
framework for studying consciousness by examining neuronal
markers in a 2D space, providing a valuable resource for
future research, with potential applications using diverse
experimental paradigms, neural recording techniques, and
modeling investigations.},
cin = {INM-7},
ddc = {150},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {5252 - Brain Dysfunction and Plasticity (POF4-525)},
pid = {G:(DE-HGF)POF4-5252},
typ = {PUB:(DE-HGF)16},
pubmed = {39011546},
UT = {WOS:001270882600001},
doi = {10.1093/nc/niae027},
url = {https://juser.fz-juelich.de/record/1034744},
}