Title |
Optogenetic Deconstruction of Sleep–Wake Circuitry in the Brain
|
---|---|
Published in |
Frontiers in Molecular Neuroscience, January 2010
|
DOI | 10.3389/neuro.02.031.2009 |
Pubmed ID | |
Authors |
Antoine Adamantidis, Matthew C. Carter, Luis de Lecea |
Abstract |
How does the brain regulate the sleep-wake cycle? What are the temporal codes of sleep and wake-promoting neural circuits? How do these circuits interact with each other across the light/dark cycle? Over the past few decades, many studies from a variety of disciplines have made substantial progress in answering these fundamental questions. For example, neurobiologists have identified multiple, redundant wake-promoting circuits in the brainstem, hypothalamus, and basal forebrain. Sleep-promoting circuits have been found in the preoptic area and hypothalamus. One of the greatest challenges in recent years has been to selectively record and manipulate these sleep-wake centers in vivo with high spatial and temporal resolution. Recent developments in microbial opsin-based neuromodulation tools, collectively referred to as "optogenetics," have provided a novel method to demonstrate causal links between neural activity and specific behaviors. Here, we propose to use optogenetics as a fundamental tool to probe the necessity, sufficiency, and connectivity of defined neural circuits in the regulation of sleep and wakefulness. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 4% |
Japan | 4 | 2% |
Switzerland | 2 | <1% |
Germany | 2 | <1% |
Portugal | 2 | <1% |
Mexico | 2 | <1% |
Uruguay | 1 | <1% |
United Kingdom | 1 | <1% |
Canada | 1 | <1% |
Other | 6 | 3% |
Unknown | 184 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 57 | 27% |
Student > Ph. D. Student | 46 | 22% |
Professor > Associate Professor | 18 | 8% |
Student > Bachelor | 14 | 7% |
Student > Master | 14 | 7% |
Other | 41 | 19% |
Unknown | 23 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 76 | 36% |
Neuroscience | 52 | 24% |
Medicine and Dentistry | 28 | 13% |
Psychology | 13 | 6% |
Biochemistry, Genetics and Molecular Biology | 7 | 3% |
Other | 10 | 5% |
Unknown | 27 | 13% |