Cell Reports · 2018 · 136 citations · 29 references
Life SciencesNeurobiologyNeuroscienceNeurophysiologySensory NeuroscienceSensory PhysiologySensory CodingSensory NeurophysiologySensory SystemsSomatosensory PhysiologySomatosensory SystemsThermal SensationCodingCombinatorial CodingEncoding Of Sensory StimuliMechanosensory CodingNeural Encoding Of Sensory SignalsPrimary Sensory Afferent NeuronsSensory EncodingSensory Neuron Biology
Primary afferents convert environmental stimuli into electrical signals for central decoding, yet how different somatosensory inputs are encoded by afferent populations remains unclear. The study used two‑photon calcium imaging of thousands of dorsal root ganglion neurons in anesthetized mice while applying mechanical and thermal stimuli to the hind paws. About half of the neurons were polymodal, with heat encoded by graded increases in both the number and strength of heating‑responsive cells, whereas cold was encoded combinatorially by distinct, ungraded activation patterns of cooling‑responsive cells, enabling stimulus‑specific neuronal combinations.
Primary afferents transduce environmental stimuli into electrical activity that is transmitted centrally to be decoded into corresponding sensations. However, it remains unknown how afferent populations encode different somatosensory inputs. To address this, we performed two-photon Ca2+ imaging from thousands of dorsal root ganglion (DRG) neurons in anesthetized mice while applying mechanical and thermal stimuli to hind paws. We found that approximately half of all neurons are polymodal and that heat and cold are encoded very differently. As temperature increases, more heating-sensitive neurons are activated, and most individual neurons respond more strongly, consistent with graded coding at population and single-neuron levels, respectively. In contrast, most cooling-sensitive neurons respond in an ungraded fashion, inconsistent with graded coding and suggesting combinatorial coding, based on which neurons are co-activated. Although individual neurons may respond to multiple stimuli, our results show that different stimuli activate distinct combinations of diversely tuned neurons, enabling rich population-level coding.
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