Treffer: Inference technique for the synaptic conductances in rhythmically active networks and application to respiratory central pattern generation circuits.

Title:
Inference technique for the synaptic conductances in rhythmically active networks and application to respiratory central pattern generation circuits.
Authors:
Molkov Y; Department of Mathematics and Statistics, Neuroscience Institute, Georgia State University, Atlanta, United States., Borgmann A; Cellular and Systems Neurobiology Section, NINDS, Bethesda, United States., Koizumi H; Cellular and Systems Neurobiology Section, NINDS, Bethesda, United States., Hama N; Cellular and Systems Neurobiology Section, NINDS, Bethesda, United States.; Department of Neural and Muscular Physiology, Shimane University School of Medicine, Matsue, Japan., Zhang R; Cellular and Systems Neurobiology Section, NINDS, Bethesda, United States., Smith J; Cellular and Systems Neurobiology Section, NINDS, Bethesda, United States.
Source:
ELife [Elife] 2025 Jul 02; Vol. 13. Date of Electronic Publication: 2025 Jul 02.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: eLife Sciences Publications, Ltd Country of Publication: England NLM ID: 101579614 Publication Model: Electronic Cited Medium: Internet ISSN: 2050-084X (Electronic) Linking ISSN: 2050084X NLM ISO Abbreviation: Elife Subsets: MEDLINE
Imprint Name(s):
Original Publication: Cambridge, UK : eLife Sciences Publications, Ltd., 2012-
Comments:
Update of: bioRxiv. 2025 Apr 22:2024.08.12.607656. doi: 10.1101/2024.08.12.607656.. (PMID: 39185214)
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Grant Information:
R01 NS057815 United States NS NINDS NIH HHS; R01 AT008632 United States AT NCCIH NIH HHS; R01 AT008632 United States NH NIH HHS; R01 NS069220 United States NS NINDS NIH HHS; R01 NS057815 United States NH NIH HHS
Contributed Indexing:
Keywords: inference; neuroscience; rat; rhythmic networks; synaptic conductance
Molecular Sequence:
Dryad 10.5061/dryad.bcc2fqzrp
Entry Date(s):
Date Created: 20250702 Date Completed: 20250702 Latest Revision: 20250705
Update Code:
20260130
PubMed Central ID:
PMC12221296
DOI:
10.7554/eLife.101959
PMID:
40600810
Database:
MEDLINE

Weitere Informationen

Unraveling synaptic interactions between excitatory and inhibitory interneurons within rhythmic neural circuits, such as central pattern generation (CPG) circuits for rhythmic motor behaviors, is critical for deciphering circuit interactions and functional architecture, which is a major problem for understanding how neural circuits operate. Here, we present a general method for extracting and separating patterns of inhibitory and excitatory synaptic conductances at high temporal resolution from single neuronal intracellular recordings in rhythmically active networks. These post-synaptic conductances reflect the combined synaptic inputs from the key interacting neuronal populations and can reveal the functional connectome of the active circuits. To illustrate the applicability of our analytic technique, we employ our method to infer the synaptic conductance profiles in identified rhythmically active interneurons within key microcircuits of the mammalian (mature rat) brainstem respiratory CPG and provide a perspective on how our approach can resolve the functional interactions and circuit organization of these interneuron populations. We demonstrate the versatility of our approach, which can be applied to any other rhythmic circuits where conditions allow for neuronal intracellular recordings.

YM, AB, HK, NH, RZ No competing interests declared, JS Reviewing editor, eLife