| Title |
Decoding Neural Circuits that Control Compulsive Sucrose Seeking
|
|---|---|
| Published in |
Cell, January 2015
|
| DOI | 10.1016/j.cell.2015.01.003 |
| Pubmed ID | |
| Authors |
Edward H. Nieh, Gillian A. Matthews, Stephen A. Allsop, Kara N. Presbrey, Christopher A. Leppla, Romy Wichmann, Rachael Neve, Craig P. Wildes, Kay M. Tye |
| Abstract |
The lateral hypothalamic (LH) projection to the ventral tegmental area (VTA) has been linked to reward processing, but the computations within the LH-VTA loop that give rise to specific aspects of behavior have been difficult to isolate. We show that LH-VTA neurons encode the learned action of seeking a reward, independent of reward availability. In contrast, LH neurons downstream of VTA encode reward-predictive cues and unexpected reward omission. We show that inhibiting the LH-VTA pathway reduces "compulsive" sucrose seeking but not food consumption in hungry mice. We reveal that the LH sends excitatory and inhibitory input onto VTA dopamine (DA) and GABA neurons, and that the GABAergic projection drives feeding-related behavior. Our study overlays information about the type, function, and connectivity of LH neurons and identifies a neural circuit that selectively controls compulsive sugar consumption, without preventing feeding necessary for survival, providing a potential target for therapeutic interventions for compulsive-overeating disorder. |
X Demographics
The data shown below were collected from the profiles of 226 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 41 | 18% |
| United States | 24 | 11% |
| United Kingdom | 14 | 6% |
| Ireland | 5 | 2% |
| Spain | 5 | 2% |
| Australia | 4 | 2% |
| France | 3 | 1% |
| Mexico | 3 | 1% |
| Netherlands | 2 | <1% |
| Other | 13 | 6% |
| Unknown | 112 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 190 | 84% |
| Scientists | 30 | 13% |
| Practitioners (doctors, other healthcare professionals) | 5 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 717 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 2% |
| Japan | 6 | <1% |
| China | 4 | <1% |
| United Kingdom | 4 | <1% |
| France | 3 | <1% |
| Mexico | 2 | <1% |
| Austria | 2 | <1% |
| Brazil | 2 | <1% |
| Germany | 2 | <1% |
| Other | 3 | <1% |
| Unknown | 674 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 195 | 27% |
| Researcher | 131 | 18% |
| Student > Bachelor | 76 | 11% |
| Student > Master | 65 | 9% |
| Student > Doctoral Student | 41 | 6% |
| Other | 109 | 15% |
| Unknown | 100 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 224 | 31% |
| Neuroscience | 215 | 30% |
| Medicine and Dentistry | 48 | 7% |
| Psychology | 39 | 5% |
| Biochemistry, Genetics and Molecular Biology | 37 | 5% |
| Other | 38 | 5% |
| Unknown | 116 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 383. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 September 2023.
All research outputs
#82,232
of 25,728,855 outputs
Outputs from Cell
#504
of 17,267 outputs
Outputs of similar age
#787
of 361,493 outputs
Outputs of similar age from Cell
#5
of 144 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
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