Autonomic
Neuroscience
Autonomic
Neuroscience is devoted to key findings about the development, function and
dysfunction of the autonomic
nervous system. We encourage submissions on basic and clinical aspects of
autonomic regulation and its development. This includes research focused on
specific regional aspects of body function, such as neuronal control
of cardiovascular, digestive, genitourinary and respiratory function, and
issues that impact more broadly on the body’s activities, such as neuronal
regulation of metabolism, feeding and temperature. Autonomic
Neuroscience has recently merged with Enteric Neuroscience, so now includes
a major focus on neural control of gastrointestinal functions. This includes
studies on the enteric nervous system (the “little brain” within the gastrointestinal
tract), neural coordination between different intestinal regions, and the
“brain-gut axis”. Our aim is to foster research that integrates all levels of
autonomic function, including the development, dysfunction and aging of
autonomic neurons and their circuits; communication with glial cells,
interstitial cells and non-neuronal sensory cells; molecular mechanisms
mediating synaptic, neuromuscular and neuroeffector transmission; identities of
neurotransmitters; structural and dynamic properties of circuits and their
interactions with the sensory and effector mechanisms that generate complex
functions; relevant aspects of brainstem, hypothalamic and limbic function;
emotional and motivational aspects of autonomic regulation. Submissions that address
communication between the autonomic
system and other regulatory systems are also strongly encouraged, including
interactions with visceral sensation and pain, the immune system, inflammation,
and neuroendocrine
regulation. We welcome molecular, cellular and genetic analyses,
investigations of tissue, organ and system function using anatomical,
physiological and pharmacological methods, and studies of complex behaviors and
clinical problems resulting from autonomic dysfunction. We also encourage studies
using computational and mathematical models, especially those where the model’s
predictions are tested experimentally.