Neurobiological circuit function and computation of the serotonergic and related systemsKongFatt Wong-Lin, Kae Nakamura Serotonin is one of the oldest neurotransmitters in evolutionary terms, and the serotonergic system is complex and multifaceted. Serotonin-producing neurons in the raphe nuclei provide serotonin innervations throughout various parts of the brain, modulating cellular excitability and network properties of targeted brain areas, and regulating mood, cognition and behavior. Dysfunctions of the serotonergic system are implicated in neuropsychiatric disorders including depression, schizophrenia, and drug abuse. Although the system has been studied for many years, an integrative account of its functions and computational principles remains elusive. This is partly attributed to the high variability and heterogeneity in terms of neuronal properties and receptor types, and its extensive connections with other brain regions. This Frontiers Research Topic e-book is a collection of recent experimental and computational work and approaches at multiple scales that provide the latest information regarding the integrated functions of the serotonergic system. The contributed papers include a variety of experimental and computational work, and human clinical studies. |
Contents
Functions and computational principles of serotonergic and related systems at multiple scales | 5 |
Biological implications of coeruleospinal inhibition of nociceptive processing in the spinal cord | 7 |
Serotonin modulation of cortical neurons and networks | 17 |
Reward predictionrelated increases and decreases in tonic neuronal activity of the pedunculopontine tegmental nucleus | 37 |
Modulation of firing and synaptic transmission of serotonergic neurons by intrinsic G proteincoupled receptors and ion channels | 51 |
Computational studies of the role of serotonin in the basal ganglia | 66 |
Monitoring serotonin signaling on a subsecond time scale | 74 |
a theoretical study | 87 |
The role of the dorsal raphé nucleus in rewardseeking behavior | 106 |
Learning from negative feedback in patients with major depressive disorder is attenuated by ssri antidepressants | 124 |
predictions from a computational network model | 133 |
Exploring the effects of depression and treatment of depression in reinforcement learning | 148 |
A dynamic embodied paradigm to investigate the role of serotonin in decisionmaking | 150 |