| Title |
Dysregulation of Prefrontal Cortex-Mediated Slow-Evolving Limbic Dynamics Drives Stress-Induced Emotional Pathology
|
|---|---|
| Published in |
Neuron, June 2016
|
| DOI | 10.1016/j.neuron.2016.05.038 |
| Pubmed ID | |
| Authors | |
| Abstract |
Circuits distributed across cortico-limbic brain regions compose the networks that mediate emotional behavior. The prefrontal cortex (PFC) regulates ultraslow (<1 Hz) dynamics across these networks, and PFC dysfunction is implicated in stress-related illnesses including major depressive disorder (MDD). To uncover the mechanism whereby stress-induced changes in PFC circuitry alter emotional networks to yield pathology, we used a multi-disciplinary approach including in vivo recordings in mice and chronic social defeat stress. Our network model, inferred using machine learning, linked stress-induced behavioral pathology to the capacity of PFC to synchronize amygdala and VTA activity. Direct stimulation of PFC-amygdala circuitry with DREADDs normalized PFC-dependent limbic synchrony in stress-susceptible animals and restored normal behavior. In addition to providing insights into MDD mechanisms, our findings demonstrate an interdisciplinary approach that can be used to identify the large-scale network changes that underlie complex emotional pathologies and the specific network nodes that can be used to develop targeted interventions. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 47% |
| United Kingdom | 2 | 12% |
| Australia | 1 | 6% |
| France | 1 | 6% |
| Japan | 1 | 6% |
| Greece | 1 | 6% |
| Unknown | 3 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 53% |
| Scientists | 7 | 41% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 1% |
| Japan | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| France | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 284 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 79 | 27% |
| Researcher | 44 | 15% |
| Student > Master | 29 | 10% |
| Student > Bachelor | 27 | 9% |
| Student > Doctoral Student | 17 | 6% |
| Other | 34 | 12% |
| Unknown | 62 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 99 | 34% |
| Agricultural and Biological Sciences | 40 | 14% |
| Psychology | 24 | 8% |
| Medicine and Dentistry | 19 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 9 | 3% |
| Other | 26 | 9% |
| Unknown | 75 | 26% |