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Ha, N. T.

Publications and source records attributed to Ha, N. T..

3 recordsLinked to original sources

Covert actions of epidural stimulation on spinal locomotor circuits

Spinal circuitry produces the rhythm and patterning of locomotion. However, both descending and sensory inputs are required to initiate and adapt locomotion to the environment. Spinal cord injury (SCI) disrupts descending controls of the spinal cord, producing paralysis. Epidural stimulation (ES) is a promising clinical therapy for motor control recovery and is capable of reactivating the lumbar spinal locomotor networks, yet little is known about the effects of ES on locomotor neurons. Previously, we found that both sensory afferent pathways and serotonin exert mixed excitatory and inhibitory actions on lumbar interneurons involved in the generation of the locomotor rhythm, identified by the transcription factor Shox2. However, after chronic complete SCI, sensory afferent inputs to Shox2 interneurons become almost exclusively excitatory and Shox2 interneurons are supersensitive to serotonin. Here, we investigated the effects of ES on these SCI-induced changes. Inhibitory input from sensory pathways to Shox2 interneurons was maintained and serotonin supersensitivity was not observed in SCI mice that received daily sub-motor threshold ES. Interestingly, the effects of ES were maintained for at least three weeks after the ES was discontinued. In contrast, the effects of ES were not observed in Shox2 interneurons from mice that received ES after the establishment of the SCI-induced changes. Our results demonstrate mechanistic actions of ES at the level of identified spinal locomotor circuit neurons and the effectiveness of early treatment with ES on preservation of spinal locomotor circuitry after SCI, suggesting possible therapeutic benefits prior to the onset of motor rehabilitation.

neuroscience↗

GABAergic circuits reflect different requirements for emergent perception in postnatal mouse neocortex

Information transfer in the mammalian cerebral cortex is dependent on locally-projecting GABAergic interneuron circuits that are widely assumed to be uniform across neocortical areas. We demonstrate that this does not hold true during the highly dynamic period of postnatal life prior to the onset of active sensory exploration. During this time, a subset of interneuron defined by expression of the neuropeptide somatostatin differentially contribute to sensory-evoked activity in primary somatosensory and visual cortices. This functional divergence between the two areas is explained by differences in the composition of somatostatin interneuron subtypes and the transient circuits formed by these cells; the somatosensory circuit representing an adaptation to control early neonatal touch information. Understanding such area-dependent differences will promote our endeavours to understand the aetiology of developmental psychiatric disorders. Summary SentenceCortical circuits are adapted to the local information processing demands of the developing brain

neuroscience↗

Neural interactions in developing rhythmogenic spinal networks: Insights from computational modeling

The mechanisms involved in generation of rhythmic locomotor activity in the mammalian spinal cord remain poorly understood. These mechanisms supposedly rely on both intrinsic properties of constituting neurons and interactions between them. A subset of Shox2 neurons was found to contribute to generation of spinal locomotor activity, but the possible cellular basis for rhythmic bursting in these neurons remains unknown. Ha and Dougherty (2018) recently revealed the presence of bidirectional electrical coupling between Shox2 neurons in neonatal spinal cords, which can be critically involved in neuronal synchronization and generation of populational bursting. Gap junctional connections found between functionally-related Shox2 interneurons decrease with age, possibly being replaced by increasing interactions through chemical synapses. Here, we developed a computational model of a heterogeneous population of neurons sparsely connected by electrical or/and chemical synapses and investigated the dependence of frequency of populational bursting on the type and strength of neuronal interconnections. The model proposes a mechanistic explanation for emergence of a synchronized rhythmic activity in the neuronal population and provides insights into the mechanisms of the locomotor rhythm generation.

bioinformatics↗