Biology subjects

Lemke, S. M.

Publications and source records attributed to Lemke, S. M..

4 recordsLinked to original sources

bioRxiv2025

Selective coupling and decoupling coordinate distributed brain networks for precise action

The precise and rapid nature of skilled actions has motivated a long-standing theory that preparatory neural states must emerge to enable upcoming actions. This has been best characterized in motor cortex, where neural activity evolves toward an initial state that governs subsequent cortical dynamics. Yet complex actions require coordination across multiple areas beyond motor cortex, and how this distributed network prepares remains unknown. We recorded over 40,000 neurons across the brain as mice produced skilled reach-to-grasp actions, revealing selective coupling of action-informative neurons and decoupling of non-informative neurons over a longer timescale and across a broader network than typically associated with motor preparation. These dynamics predicted upcoming action quality and neural activity on individual trials, and performance was impaired when trials were initiated before coupling and decoupling emerged. Two local field potential rhythms organized these dynamics, providing a target for optogenetic intervention that bidirectionally altered action quality. Our work reveals a distributed preparatory process in which selective coupling and decoupling establish a network state that enables skilled action.

neuroscience↗

bioRxiv2023

An information-theoretic quantification of the content of communication between brain regions

Quantifying the amount, content and direction of communication between brain regions is key to understanding brain function. Traditional methods to analyze brain activity based on the Wiener-Granger causality principle quantify the overall information propagated by neural activity between simultaneously recorded brain regions, but do not reveal the information flow about specific features of interest (such as sensory stimuli). Here, we develop a new information theoretic measure termed Feature-specific Information Transfer (FIT), quantifying how much information about a specific feature flows between two regions. FIT merges the Wiener-Granger causality principle with information-content specificity. We first derive FIT and prove analytically its key properties. We then illustrate and test them with simulations of neural activity, demonstrating that FIT identifies, within the total information flowing between regions, the information that is transmitted about specific features. We then analyze three neural datasets obtained with different recording methods, magneto- and electro-encephalography, and spiking activity, to demonstrate the ability of FIT to uncover the content and direction of information flow between brain regions beyond what can be discerned with traditional anaytical methods. FIT can improve our understanding of how brain regions communicate by uncovering previously hidden feature-specific information flow.

neuroscience↗

bioRxiv2020

Functional microstructure of CaV-mediated calcium signaling in the axon initial segment

The axon initial segment (AIS) is a specialized neuronal compartment in which synaptic input is converted into action potential output. This process is supported by a diverse complement of sodium, potassium, and calcium channels (CaV). Different classes of sodium and potassium channels are scaffolded at specific sites within the AIS, conferring unique functions, but how calcium channels are functionally distributed within the AIS is unclear. Here, we utilize conventional 2-photon laser scanning and diffraction-limited, high-speed spot 2-photon imaging to resolve action potential-evoked calcium dynamics in the AIS with high spatiotemporal resolution. In mouse layer 5 prefrontal pyramidal neurons, calcium influx was mediated by a mix of CaV2 and CaV3 channels that differentially localized to discrete regions. CaV3 functionally localized to produce nanodomain hotspots of calcium influx that coupled to ryanodine-dependent stores, whereas CaV2 localized to non-hotspot regions. Thus, different pools of CaVs appear to play distinct roles in AIS function.

neuroscience↗

bioRxiv2020

Sleep spindles coordinate corticostriatal reactivations during the emergence of automaticity

Plasticity within the corticostriatal network is known to regulate the balance between behavioral flexibility and automaticity. Repeated training of an action has been shown to bias behavior towards automaticity, suggesting that training may trigger activity-dependent corticostriatal plasticity. However, surprisingly little is known about the natural activity patterns that may drive plasticity or when they occur during long-term training. Here we chronically monitored neural activity from primary motor cortex (M1) and the dorsolateral striatum (DLS) during both training and offline periods, i.e., time away from training including sleep, throughout the development of an automatic reaching action. We first show that blocking striatal NMDA receptors during offline periods prevents the emergence of behavioral consistency, a hallmark of automaticity. We then show that, throughout the development of an automatic reaching action, corticostriatal functional connectivity increases during offline periods. Such increases track the emergence of consistent behavior and predictable cross-area neural dynamics. We then identify sleep spindles during non-REM sleep (NREM) as uniquely poised to mediate corticostriatal plasticity during offline periods. We show that sleep spindles are periods of maximal corticostriatal transmission within offline periods, that sleep spindles in post-training NREM reactivate neurons across areas, and that sleep-spindle modulation in post-training NREM is linked to observable changes in spiking relationships between individual pairs of M1 and DLS neurons. Our results indicate that offline periods, in general, and sleep spindles, specifically, play an important role in regulating behavioral flexibility through corticostriatal network plasticity.

neuroscience↗