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@PHDTHESIS{deHaan:717863,
author = {de Haan, Marcel Jan},
othercontributors = {Grün, Sonja Annemarie and Kampa, Björn M. and Riehle,
Alexa},
title = {{C}ortical network dynamics during visually-guided motor
behavior : {S}etup development and {P}reliminary analyses},
school = {RWTH Aachen University},
type = {Dissertation},
address = {Aachen},
reportid = {RWTH-2018-221368},
pages = {1 Online-Ressource (150 Seiten) : Illustrationen},
year = {2018},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University; Dissertation, RWTH Aachen University, 2018},
abstract = {In natural conditions, primates possess a remarkable
coordination of body movements in response to highly complex
sensory information from the external world. The properties
of our own body and those of the objects we interact with
vary over time, yet continuous online adjustments allow for
movements to be combined into a smooth and efficient
goal-directed behavior. A key contribution to this behavior
comes from eye-hand coordination. Studying the neural
underpinnings of such coordinated behaviors involves
attention, visual processing, visuomotor integration, motor
planning and motor control in multiple areas across the
brain. This distribution has led to specialized fields in
neuroscience that aim to elucidate the contribution of each
respective field to visually-guided motor behavior in
isolation. However, studying individual systems without
taking into account their synergistic relationships
diminishes our insight, as isolated behaviors in arguably
independent regions of the brain are limited. The main goal
of this thesis is to elucidate multi-area coordination
during goal-directed behavior and provide new insights into
the dynamic processes of continuous predictions and
transformations from sensory to motor areas (and back). The
questions on how the visual input areas and motor output
areas coordinate require an experimental setup with
extensive behavioral control, recording capacity of multiple
effectors, and dense electrophysiological recordings in
multiple relevant brain structures. In my thesis I begin by
outlining aspects of visually-guided motor behavior and
present classic and current ideas on how the visual input on
the retina travels in parallel through a multitude of brain
areas, experiencing several stages of reference frame
transformation, in order to control motor output of the
hand. I subsequently detail the development and testing
parameters of the Real-time Integrated Visuomotor behavior
$\&$ Electrophysiology Recording (RIVER) setup. This setup
had to fulfill the following requirements: 1) both eye and
hand positions must be expressed in the same coordinate
space; 2) the setup must have real-time control over eye and
hand movements within the task environment, 3) movements
must be continuously tracked and recorded under any
experimental condition, 4) the setup must be optimized to
allow for electrophysiological recordings in human/monkey
participants, and 5) the setup must have the ability to
output synchronized data of behavioral and experimental
events with all electrophysiological recordings. I present
preliminary behavioral data from a monkey trained to perform
a sequential point task in the RIVER setup, and briefly
discuss the surgical procedures and outcome of
multi-electrode array (MEA) implantation. Finally, I present
our findings from noise correlation analysis on massively
parallel electrophysiology data from a parallel
reach-to-grasp project.},
cin = {163110 / 160000},
ddc = {570},
cid = {$I:(DE-82)163110_20180110$ / $I:(DE-82)160000_20140620$},
pnm = {HBP SGA1 - Human Brain Project Specific Grant Agreement 1
(720270) / SMHB - Supercomputing and Modelling for the Human
Brain (HGF-SMHB-2013-2017) / DFG project 238707842 -
Kausative Mechanismen mesoskopischer Aktivitätsmuster in
der auditorischen Kategorien-Diskrimination (238707842) /
DFG project 220176618 - SPP 1665: Aufschlüsselung und
Manipulation neuronaler Netzwerke im Gehirn von
Säugetieren: Von korrelativen zur kausalen Analyse
(220176618)},
pid = {G:(EU-Grant)720270 / G:(DE-Juel1)HGF-SMHB-2013-2017 /
G:(GEPRIS)238707842 / G:(GEPRIS)220176618},
typ = {PUB:(DE-HGF)11},
doi = {10.18154/RWTH-2018-221368},
url = {https://publications.rwth-aachen.de/record/717863},
}
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