
Humans exhibit a remarkable degree of resilience in the face of extreme stress, with most resisting the development of neuropsychiatric disorders. Over the past 5 years, there has been increasing interest in the active, adaptive coping mechanisms of resilience; however, in humans, most published work focuses on correlative neuroendocrine markers that are associated with a resilient phenotype. In this review, we highlight a growing literature in rodents that is starting to complement the human work by identifying the active behavioral, neural, molecular and hormonal basis of resilience. The therapeutic implications of these findings are important and can pave the way for an innovative approach to drug development for a range of stress-related syndromes.
Hypothalamo-Hypophyseal System, Brain, Pituitary-Adrenal System, Dehydroepiandrosterone, Resilience, Psychological, Disease Models, Animal, Neurobiology, Early Growth Response Transcription Factors, Animals, Humans, Neuropeptide Y, Testosterone, Stress, Psychological
Hypothalamo-Hypophyseal System, Brain, Pituitary-Adrenal System, Dehydroepiandrosterone, Resilience, Psychological, Disease Models, Animal, Neurobiology, Early Growth Response Transcription Factors, Animals, Humans, Neuropeptide Y, Testosterone, Stress, Psychological
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 998 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
