Send to

Choose Destination
J Neurophysiol. 2018 Jul 1;120(1):53-77. doi: 10.1152/jn.00554.2017. Epub 2018 Mar 14.

Sherlock Holmes and the curious case of the human locomotor central pattern generator.

Klarner T1,2,3, Zehr EP1,2,3,4.

Author information

Rehabilitation Neuroscience Laboratory, University of Victoria , Victoria, British Columbia , Canada.
Human Discovery Science, International Collaboration on Repair Discoveries , Vancouver, British Columbia , Canada.
Centre for Biomedical Research, University of Victoria , Victoria, British Columbia , Canada.
Division of Medical Sciences, University of Victoria, British Columbia, Canada.


Evidence first described in reduced animal models over 100 years ago led to deductions about the control of locomotion through spinal locomotor central pattern-generating (CPG) networks. These discoveries in nature were contemporaneous with another form of deductive reasoning found in popular culture, that of Arthur Conan Doyle's detective, Sherlock Holmes. Because the invasive methods used in reduced nonhuman animal preparations are not amenable to study in humans, we are left instead with deducing from other measures and observations. Using the deductive reasoning approach of Sherlock Holmes as a metaphor for framing research into human CPGs, we speculate and weigh the evidence that should be observable in humans based on knowledge from other species. This review summarizes indirect inference to assess "observable evidence" of pattern-generating activity that leads to the logical deduction of CPG contributions to arm and leg activity during locomotion in humans. The question of where a CPG may be housed in the human nervous system remains incompletely resolved at this time. Ongoing understanding, elaboration, and application of functioning locomotor CPGs in humans is important for gait rehabilitation strategies in those with neurological injuries.

[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Atypon Icon for PubMed Central
Loading ...
Support Center