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1.
Neuron ; 112(8): 1302-1327.e13, 2024 Apr 17.
Article in English | MEDLINE | ID: mdl-38452762

ABSTRACT

Sensory feedback is integral for contextually appropriate motor output, yet the neural circuits responsible remain elusive. Here, we pinpoint the medial deep dorsal horn of the mouse spinal cord as a convergence point for proprioceptive and cutaneous input. Within this region, we identify a population of tonically active glycinergic inhibitory neurons expressing parvalbumin. Using anatomy and electrophysiology, we demonstrate that deep dorsal horn parvalbumin-expressing interneuron (dPV) activity is shaped by convergent proprioceptive, cutaneous, and descending input. Selectively targeting spinal dPVs, we reveal their widespread ipsilateral inhibition onto pre-motor and motor networks and demonstrate their role in gating sensory-evoked muscle activity using electromyography (EMG) recordings. dPV ablation altered limb kinematics and step-cycle timing during treadmill locomotion and reduced the transitions between sub-movements during spontaneous behavior. These findings reveal a circuit basis by which sensory convergence onto dorsal horn inhibitory neurons modulates motor output to facilitate smooth movement and context-appropriate transitions.


Subject(s)
Parvalbumins , Spinal Cord Dorsal Horn , Mice , Animals , Posterior Horn Cells/physiology , Locomotion , Interneurons/physiology , Spinal Cord
3.
Cell ; 174(1): 59-71.e14, 2018 06 28.
Article in English | MEDLINE | ID: mdl-29804835

ABSTRACT

Astrocytes respond to neuronal activity and were shown to be necessary for plasticity and memory. To test whether astrocytic activity is also sufficient to generate synaptic potentiation and enhance memory, we expressed the Gq-coupled receptor hM3Dq in CA1 astrocytes, allowing their activation by a designer drug. We discovered that astrocytic activation is not only necessary for synaptic plasticity, but also sufficient to induce NMDA-dependent de novo long-term potentiation in the hippocampus that persisted after astrocytic activation ceased. In vivo, astrocytic activation enhanced memory allocation; i.e., it increased neuronal activity in a task-specific way only when coupled with learning, but not in home-caged mice. Furthermore, astrocytic activation using either a chemogenetic or an optogenetic tool during acquisition resulted in memory recall enhancement on the following day. Conversely, directly increasing neuronal activity resulted in dramatic memory impairment. Our findings that astrocytes induce plasticity and enhance memory may have important clinical implications for cognitive augmentation treatments.


Subject(s)
Long-Term Potentiation , Memory , Neurons/metabolism , Animals , Astrocytes/cytology , Astrocytes/drug effects , Astrocytes/metabolism , Calcium/metabolism , Clozapine/analogs & derivatives , Clozapine/pharmacology , GTP-Binding Protein alpha Subunits, Gq-G11/genetics , GTP-Binding Protein alpha Subunits, Gq-G11/metabolism , Hippocampus/cytology , Long-Term Potentiation/drug effects , Male , Memory/drug effects , Mice , Mice, Inbred C57BL , N-Methylaspartate/pharmacology , Neurons/drug effects , Optogenetics , Patch-Clamp Techniques , Proto-Oncogene Proteins c-fos/metabolism , Stress, Psychological , Synaptic Potentials/drug effects
4.
Nat Commun ; 9(1): 134, 2018 01 09.
Article in English | MEDLINE | ID: mdl-29317624

ABSTRACT

To faithfully encode complex stimuli, sensory neurons should correct, via adaptation, for stimulus properties that corrupt pattern recognition. Here we investigate sound intensity adaptation in the Drosophila auditory system, which is largely devoted to processing courtship song. Mechanosensory neurons (JONs) in the antenna are sensitive not only to sound-induced antennal vibrations, but also to wind or gravity, which affect the antenna's mean position. Song pattern recognition, therefore, requires adaptation to antennal position (stimulus mean) in addition to sound intensity (stimulus variance). We discover fast variance adaptation in Drosophila JONs, which corrects for background noise over the behaviorally relevant intensity range. We determine where mean and variance adaptation arises and how they interact. A computational model explains our results using a sequence of subtractive and divisive adaptation modules, interleaved by rectification. These results lay the foundation for identifying the molecular and biophysical implementation of adaptation to the statistics of natural sensory stimuli.


Subject(s)
Adaptation, Physiological , Arthropod Antennae/physiology , Drosophila/physiology , Mechanoreceptors/physiology , Vocalization, Animal , Animals , Female , Hearing/physiology , Mechanotransduction, Cellular , Sexual Behavior, Animal , Sound
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