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1.
Clin Infect Dis ; 77(Suppl 3): S224-S230, 2023 08 14.
Article in English | MEDLINE | ID: mdl-37579204

ABSTRACT

Ethical human subjects research requires participants to be treated safely and respectfully, yet much bioethical debate takes place without participants. We aim to address this gap in the context of controlled human infection model (CHIM) research. Based upon our own experience as study participants, and bolstered by a survey of 117 potential hepatitis C virus CHIM participants, we present ideas to inform efficient, ethical, and scientifically useful study design. We advocate for full protocol transparency, higher compensation, commitment to the rapid dissemination of study results, and proactive efforts to detail risk-minimization efforts as early as possible in the recruitment process, among other measures. We encourage researchers to proactively partner with volunteer advocacy organizations that promote collective representation of volunteers to maximize their agency, and guard against ethical issues arising from healthy human subjects research.


Subject(s)
Hepacivirus , Volunteers , Humans , Research Design
2.
Front Neurosci ; 16: 1010211, 2022.
Article in English | MEDLINE | ID: mdl-36330342

ABSTRACT

An ability to integrate information provided by different sensory modalities is a fundamental feature of neurons in many brain areas. Because visual and auditory inputs often originate from the same external object, which may be located some distance away from the observer, the synthesis of these cues can improve localization accuracy and speed up behavioral responses. By contrast, multisensory interactions occurring close to the body typically involve a combination of tactile stimuli with other sensory modalities. Moreover, most activities involving active touch generate sound, indicating that stimuli in these modalities are frequently experienced together. In this review, we examine the basis for determining sound-source distance and the contribution of auditory inputs to the neural encoding of space around the body. We then consider the perceptual consequences of combining auditory and tactile inputs in humans and discuss recent evidence from animal studies demonstrating how cortical and subcortical areas work together to mediate communication between these senses. This research has shown that somatosensory inputs interface with and modulate sound processing at multiple levels of the auditory pathway, from the cochlear nucleus in the brainstem to the cortex. Circuits involving inputs from the primary somatosensory cortex to the auditory midbrain have been identified that mediate suppressive effects of whisker stimulation on auditory thalamocortical processing, providing a possible basis for prioritizing the processing of tactile cues from nearby objects. Close links also exist between audition and movement, and auditory responses are typically suppressed by locomotion and other actions. These movement-related signals are thought to cancel out self-generated sounds, but they may also affect auditory responses via the associated somatosensory stimulation or as a result of changes in brain state. Together, these studies highlight the importance of considering both multisensory context and movement-related activity in order to understand how the auditory cortex operates during natural behaviors, paving the way for future work to investigate auditory-somatosensory interactions in more ecological situations.

3.
eNeuro ; 8(2)2021.
Article in English | MEDLINE | ID: mdl-33547045

ABSTRACT

Computer vision approaches have made significant inroads into offline tracking of behavior and estimating animal poses. In particular, because of their versatility, deep-learning approaches have been gaining attention in behavioral tracking without any markers. Here, we developed an approach using DeepLabCut for real-time estimation of movement. We trained a deep-neural network (DNN) offline with high-speed video data of a mouse whisking, then transferred the trained network to work with the same mouse, whisking in real-time. With this approach, we tracked the tips of three whiskers in an arc and converted positions into a TTL output within behavioral time scales, i.e., 10.5 ms. With this approach, it is possible to trigger output based on movement of individual whiskers, or on the distance between adjacent whiskers. Flexible closed-loop systems like the one we have deployed here can complement optogenetic approaches and can be used to directly manipulate the relationship between movement and neural activity.


Subject(s)
Neural Networks, Computer , Vibrissae , Animals , Behavior, Animal , Feedback , Mice , Movement
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