| Title |
Diversity of molecularly defined spinal interneurons engaged in mammalian locomotor pattern generation
|
|---|---|
| Published in |
Journal of Neurophysiology, August 2017
|
| DOI | 10.1152/jn.00322.2017 |
| Pubmed ID | |
| Authors |
Lea Ziskind-Conhaim, Shawn Hochman |
| Abstract |
Mapping the expression of transcription factors in the mouse spinal cord has identified ten progenitor domains, four of which are cardinal classes of molecularly-defined, ventrally located interneurons that are integrated in the locomotor circuitry. This review focuses on the properties of these interneuronal populations and their contribution to hindlimb locomotor central pattern generation. Interneuronal populations are categorized based on their excitatory or inhibitory functions and their axonal projections as predictors of their role in locomotor rhythm generation and coordination. The synaptic connectivity and functions of these interneurons in the locomotor central pattern generators (CPGs) have been assessed by correlating their activity patterns with motor output responses to rhythmogenic neurochemicals, sensory and descending fibers stimulations as well as analyzing kinematic gait patterns in adult mice. The observed complex organization of interneurons in the locomotor CPG circuitry, some with seemingly similar physiological functions, reflects the intricate repertoire associated with mammalian motor control, and is consistent with high transcriptional heterogeneity arising from cardinal interneuronal classes. The review discusses insights derived from recent studies to describe innovative approaches, limitations in experimental model systems, and identify missing links in current investigational enterprise. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 13% |
| Australia | 1 | 13% |
| Brazil | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 23% |
| Researcher | 14 | 19% |
| Student > Bachelor | 6 | 8% |
| Other | 6 | 8% |
| Professor | 5 | 7% |
| Other | 13 | 18% |
| Unknown | 13 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 28 | 38% |
| Agricultural and Biological Sciences | 12 | 16% |
| Engineering | 6 | 8% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Computer Science | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 16 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 May 2018.
All research outputs
#6,498,682
of 25,382,440 outputs
Outputs from Journal of Neurophysiology
#1,663
of 8,424 outputs
Outputs of similar age
#93,305
of 323,499 outputs
Outputs of similar age from Journal of Neurophysiology
#20
of 116 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 8,424 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 323,499 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.