@unpublished{HaendelSchoelvinck2019,
  author    = {H{\"a}ndel, Barbara and Sch{\"o}lvinck, Marieke},
  title     = {The brain during free movement - what can we learn from the animal model},
  series = {Brain Research},
  journal   = {Brain Research},
  edition   = {accepted manuscript},
  doi       = {10.1016/j.brainres.2017.09.003},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-251406},
  year      = {2019},
  abstract  = {Animals, just like humans, can freely move. They do so for various important reasons, such as finding food and escaping predators. Observing these behaviors can inform us about the underlying cognitive processes. In addition, while humans can convey complicated information easily through speaking, animals need to move their bodies to communicate. This has prompted many creative solutions by animal neuroscientists to enable studying the brain during movement. In this review, we first summarize how animal researchers record from the brain while an animal is moving, by describing the most common neural recording techniques in animals and how they were adapted to record during movement. We further discuss the challenge of controlling or monitoring sensory input during free movement. However, not only is free movement a necessity to reflect the outcome of certain internal cognitive processes in animals, it is also a fascinating field of research since certain crucial behavioral patterns can only be observed and studied during free movement. Therefore, in a second part of the review, we focus on some key findings in animal research that specifically address the interaction between free movement and brain activity. First, focusing on walking as a fundamental form of free movement, we discuss how important such intentional movements are for understanding processes as diverse as spatial navigation, active sensing, and complex motor planning. Second, we propose the idea of regarding free movement as the expression of a behavioral state. This view can help to understand the general influence of movement on brain function. Together, the technological advancements towards recording from the brain during movement, and the scientific questions asked about the brain engaged in movement, make animal research highly valuable to research into the human "moving brain".},
  language  = {en}
}
@unpublished{BrychHaendel2020,
  author    = {Brych, Mareike and H{\"a}ndel, Barbara},
  title     = {Disentangling top-down and bottom-up influences on blinks in the visual and auditory domain},
  series = {International Journal of Psychophysiology},
  journal   = {International Journal of Psychophysiology},
  issn      = {1872-7697},
  doi       = {10.1016/j.ijpsycho.2020.11.002},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-246590},
  year      = {2020},
  abstract  = {Sensory input as well as cognitive factors can drive the modulation of blinking. Our aim was to dissociate sensory driven bottom-up from cognitive top-down influences on blinking behavior and compare these influences between the auditory and the visual domain. Using an oddball paradigm, we found a significant pre-stimulus decrease in blink probability for visual input compared to auditory input. Sensory input further led to an early post-stimulus blink increase in both modalities if a task demanded attention to the input. Only visual input caused a pronounced early increase without a task. In case of a target or the omission of a stimulus (as compared to standard input), an additional late increase in blink rate was found in the auditory and visual domain. This suggests that blink modulation must be based on the interpretation of the input, but does not need any sensory input at all to occur. Our results show a complex modulation of blinking based on top-down factors such as prediction and attention in addition to sensory-based influences. The magnitude of the modulation is mainly influenced by general attentional demands, while the latency of this modulation allows to dissociate general from specific top-down influences that are independent of the sensory domain.},
  language  = {en}
}