Spatial distribution of intermingling pools of projection neurons with distinct targets: A 3D analysis of the commissural ganglia in <i>Cancer borealis</i>

Follmann, Rosangela; Goldsmith, Christopher John; Stein, Wolfgang

doi:10.1002/cne.24161

Cited by 14 publications

(21 citation statements)

References 84 publications

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“…We found that network activity was reflective of spatially distributed, highly overlapping, yet distinct network responses when comparing between IV and VCN sensory modalities. This feature was consistent with almost no variability across animals, despite the rather large anatomical variability observed in this region (Follmann et al, 2017). Our results also show a relationship between CoG premotor network activation and participation and pyloric activity.…”

Section: Discussionsupporting

confidence: 90%

“…The neurites of both pathways terminated in the neuropil of the CoG ( fig. 2A, dotted area), a region associated with overlapping innervation from other sensory and modulatory pathways, as well as from ascending thoracic and descending brain fibers (Wiersma, 1957;Follmann et al, 2017). Despite morphological variation in CoG size and shape (see (Follmann et al, 2017)), IV and VCN fibers consistently overlapped within the neuropil (N=6).…”

Section: Resultsmentioning

confidence: 99%

“…A key advantage of this technique is the combination of high spatial and temporal resolution . The cell bodies of premotor neurons innervating the STG are restricted towards the medial-posterior region of the CoG (Follmann et al, 2017). We thus focused on this region ( fig.…”

Section: Resultsmentioning

confidence: 99%

“…In summary, the CoG network responses to IV, VCN and bimodal conditions indicate that distinctions between sensory modalities are executed via the activation and participation of the premotor neurons. With only a few hundred neurons (Follmann et al, 2017), the CoG premotor network thus employs a combinatorial scheme to dynamically change CoG neuron responses in different sensory conditions, and control the downstream motor activity.…”

Section: Potential Mechanisms For the Encoding Of Multimodal Sensory mentioning

confidence: 99%

“…Nonetheless, it is unknown how premotor networks, in which the projection neurons are embedded, respond to and encode multimodal information. In the crustacean stomatogastric nervous system, a small number of descending projection neurons participate in a premotor network that resides within the paired commissural ganglia (CoGs), each of which contain less than 220 neurons (Follmann et al, 2017)), and process information from different sensory modalities ). We used these advantageous features to investigate the coding mechanism for multiple sensory modalities presented both individually (unimodal inputs) and simultaneously (bimodal input).…”

Section: Introductionmentioning

confidence: 99%

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A Combinatorial Premotor Neural Code: Transformation Of Sensory Information Into Meaningful Rhythmic Motor Output By A Network Of Heterogeneous Modulatory Neurons

Goldsmith¹

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The goal of the following research was to investigate the contributions of neural networks in selecting distinct variants of rhythmic motor activity. We used the premotor commissural ganglion (CoG) in the stomatogastric nervous system of the Jonah crab to understand how this network effectively controls the rhythms produced in downstream motor circuits. Prior research determined that individual CoG neurons are necessary to mediate sensory-induced variation in the effected motor patterns. However, single premotor neuron inputs to the STG are not sufficient to recreate the patterns induced by the selective activation of sensory pathways. Thus, it was hypothesized that the CoGmediated effects on these sensorimotor transformations may be explained at the level of CoG population activity.We embraced the exploratory nature of this study by approaching it in three phases. First, we established voltage-sensitive dye imaging in the stomatogastric nervous system, as a technique that reports the simultaneous activity of many neurons with single-neuron resolution. In short, this form of imaging was effective at reporting both slow and fast changes in membrane potential, and provided an effective means of studying neuronal population activities. In addition, these dyes stain fine neural structures through nerve sheaths, connective tissue that must often be surgically removed to access the neurons contained within the sheaths. Then, we characterized the distribution of somata in the CoG, and found that soma location was not fixed in its location from animal to animal, but that clustering of CoG somata did occur near their different nerve pathway origins. Finally, we used the voltage-sensitive dye-imaging technique to investigate the CoG population under different sensory conditions, and found that two different sensory modalities, one chemosensory and one mechanosensory pathway, differentially affected the balance of excited and inhibited (network activation) neurons found in the CoGs. Moreover, differences in CoG neuron participation between modalities was not extremely robust. However, the population activity differed enough so that both CoG participation and activation were drivers of the observed changes in the downstream pyloric motor network, providing support for a premotor combinatorial code for motor pattern selection.

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Section: Discussionsupporting

confidence: 90%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Potential Mechanisms For the Encoding Of Multimodal Sensory mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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