Large-scale recording of neuronal activity in freely-moving mice at cellular resolution

YOLOv11-Based quantification and temporal analysis of repetitive behaviors in deer mice

Detailed temporal dynamics of deer mouse (Peromyscus maniculatus bairdii) behavior remain poorly characterized. This study presents an integrated automated system combining YOLOv11 deep learning for direct behavior classification, post-processing for bout reconstruction, and a comprehensive temporal analysis suite tailored for deer mice. YOLOv11 performs frame-by-frame classification of key whole-body behaviors (e.g., Exploration, Grooming, Rearing types) using bounding boxes, bypassing initial kinematic feature engineering. Post-processing then reconstructs continuous behavioral bouts. This methodology facilitates objective, high-throughput quantification of behavior frequency, duration, and complex temporal organization, including transition patterns and sequential structure revealed through analyses like transition probabilities, behavior sequence mining, and lead-follower behavior relationships. In addition to describing a new methodology, this study provides initial baseline temporal data for deer mice, a powerful suite of analyses for future Peromyscus studies evaluating natural variation and experimental manipulations, or for use in other movement disorder models. In conclusion, the described YOLOv11-based system provides an efficient, reliable, and accessible methodology for both detailing behavioral activity and enhancing investigations of temporal dynamics in deer mice and other animal models.

Motor Assisted Commutator to Harness Electronics in Tethered Experiments

Research that combines advanced technological devices with complex behavioral tasks has enabled investigations into the neural mechanisms underlying brain and behavioral states. Freely moving rodent experiments often require a tether-a wired connection between an implanted device and an external power supply or data acquisition system. Traditionally, these experiments have used passive commutators to manage tethers, but such setups are often inadequate for reducing twisting and mechanical strain during behavioral tasks. Existing motorized commutators have extended the range of motion for these experiments but generally rely on stepper motors that produce auditory noise, potentially interfering with behavior. To address these limitations, we developed the Motor Assisted Commutator to Harness Electronics in Tethered Experiments (MACHETE), a motor-assisted commutator featuring a low-noise brushless motor. MACHETE dynamically adjusts tethers based on mouse movement, reducing torque and mechanical strain, and minimizing the animal's physical exertion during behavioral assays. Its onboard microcontroller provides customizable controls and seamless integration with custom electronic devices. The design includes a central through-hole to accommodate wires or fibers from external devices such as head-mounted miniature microscopes, electrophysiology probes, and optogenetics systems. We validated MACHETE across standard behavioral assays, including the open field test, the splash test, and the three-chamber social test. Our results showed no significant changes in mobility or behavior compared with untethered controls. By combining precise motor control, low auditory noise equipment, and accessibility, MACHETE can be used to support research that aims to adapt tools for use in freely moving behavior experiments.

Cutting-edge methodologies for tagging and tracing active neuronal coding in the brain

Decoding the neural substrates that underlie learning and behavior is a fundamental goal in neuroscience. Identifying "key players" at the molecular, cellular, and circuit levels has become possible with recent advancements in molecular technologies offering high spatiotemporal resolution. Immediate-early genes are effective markers of neural activity and plasticity, allowing for the identification of active cells involved in memory-based behavior. A calcium-dependent labeling system coupled with light or biochemical proximity labeling allows characterization of active cell ensembles and circuitry across broader brain regions within short time windows, particularly during transient behaviors. The integration of these systems expands the ability to address diverse research questions across behavioral paradigms. This review examines current molecular systems for activity-dependent labeling, highlighting their applications in identifying specific cell ensembles and circuits relevant to various scientific questions and further discuss their significance, along with future directions for the development of innovative methodologies.

Quantitative approaches for studying G protein-coupled receptor signalling and pharmacology

G protein-coupled receptor (GPCR) signalling pathways underlie numerous physiological processes, are implicated in many diseases and are major targets for therapeutics. There are more than 800 GPCRs, which together transduce a vast array of extracellular stimuli into a variety of intracellular signals via heterotrimeric G protein activation and multiple downstream effectors. A key challenge in cell biology research and the pharmaceutical industry is developing tools that enable the quantitative investigation of GPCR signalling pathways to gain mechanistic insights into the varied cellular functions and pharmacology of GPCRs. Recent progress in this area has been rapid and extensive. In this Review, we provide a critical overview of these new, state-of-the-art approaches to investigate GPCR signalling pathways. These include novel sensors, Förster or bioluminescence resonance energy transfer assays, libraries of tagged G proteins and transcriptional reporters. These approaches enable improved quantitative studies of different stages of GPCR signalling, including GPCR activation, G protein activation, second messenger (cAMP and Ca2+) signalling, β-arrestin recruitment and the internalisation and intracellular trafficking of GPCRs.

Systemic exposure to COVID-19 virus-like particles modulates firing patterns of cortical neurons in the living mouse brain

Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2) causes a systemic infection that affects the central nervous system. We used virus-like particles (VLPs) to explore how exposure to the SARS-CoV-2 proteins affects brain activity patterns in wild-type (WT) mice and in mice that express the wild-type human tau protein (htau mice). VLP exposure elicited dose-dependent changes in corticosterone and distinct chemokine levels. Longitudinal two-photon microscopy recordings of primary somatosensory and motor cortex neurons that express the jGCaMP7s calcium sensor tracked modifications of neuronal activity patterns following exposure to VLPs. There was a substantial short-term increase in stimulus-evoked activity metrics in both WT and htau VLP-injected mice, while htau mice showed also increased spontaneous activity metrics and increase activity in the vehicle-injected group. Over the following weeks, activity metrics in WT mice subsided, but remained above baseline levels. For htau mice, activity metrics either remain elevated or decreased to lower levels than baseline. Overall, our data suggest that exposure to the SARS-CoV-2 VLPs leads to strong short-term disruption of cortical activity patterns in mice with long-term residual effects. The htau mice, which have a more vulnerable genetic background, exhibited more severe pathobiology that may lead to more adverse outcomes.

Beta-frequency sensory stimulation enhances gait rhythmicity through strengthened coupling between striatal networks and stepping movement

Stepping movement is delta (1-4 Hz) rhythmic and depends on sensory inputs. Stepping-related delta-rhythmic neural activity is coupled to beta (10-30 Hz) frequency dynamics that are also prominent in sensorimotor circuits. We explored how beta-frequency sensory stimulation influences stepping and dorsal striatal regulation of stepping. We delivered audiovisual stimulation at 10 or 145 Hz to mice voluntarily locomoting, while recording locomotion, cellular calcium dynamics and local field potentials (LFPs). We found that 10 Hz, but not 145 Hz stimulation prominently entrained striatal LFPs. Even though stimulation at both frequencies promoted locomotion and desynchronized striatal network, only 10 Hz stimulation enhanced the delta rhythmicity of stepping and strengthened the coupling between stepping and striatal LFP delta and beta oscillations. These results demonstrate that higher frequency sensory stimulation can modulate lower frequency striatal neural dynamics and improve stepping rhythmicity, highlighting the translational potential of non-invasive beta-frequency sensory stimulation for improving gait.

Pleiotropic brain function of whirlin identified by a novel mutation

Despite some evidence indicating diverse roles of whirlin in neurons, the functional corollary of whirlin gene function and behavior has not been investigated or broadly characterized. A single nucleotide variant was identified from our recessive ENU-mutagenesis screen at a donor-splice site in whirlin, a protein critical for proper sensorineural hearing function. The mutation (head-bob, hb) led to partial intron-retention causing a frameshift and introducing a premature termination codon. Mutant mice had a head-bobbing phenotype and significant hyperactivity across several phenotyping tests. Lack of complementation of head-bob with whirler mutant mice confirmed the head-bob mutation as functionally distinct with compound mutants having a mild-moderate hearing defect. Utilizing transgenics, we demonstrate rescue of the hyperactive phenotype and combined with the expression profiling data conclude whirlin plays an essential role in activity-related behaviors. These results highlight a pleiotropic role of whirlin within the brain and implicate alternative, central mediated pathways in its function.

Beta-frequency sensory stimulation enhances gait rhythmicity through strengthened coupling between striatal networks and stepping movement

Stepping movement is delta (1-4 Hz) rhythmic and depends on sensory inputs. In addition to delta rhythms, beta (10-30 Hz) frequency dynamics are also prominent in the motor circuits and are coupled to neuronal delta rhythms both at the network and the cellular levels. Since beta rhythms are broadly supported by cortical and subcortical sensorimotor circuits, we explore how beta-frequency sensory stimulation influences delta-rhythmic stepping movement, and dorsal striatal circuit regulation of stepping. We delivered audiovisual stimulation at 10 Hz or 145 Hz to mice voluntarily locomoting, while simultaneously recording stepping movement, striatal cellular calcium dynamics and local field potentials (LFPs). We found that 10 Hz, but not 145 Hz stimulation prominently entrained striatal LFPs. Even though sensory stimulation at both frequencies promoted locomotion and desynchronized striatal network, only 10 Hz stimulation enhanced the delta rhythmicity of stepping movement and strengthened the coupling between stepping and striatal LFP delta and beta oscillations. These results demonstrate that higher frequency sensory stimulation can modulate lower frequency dorsal striatal neural dynamics and improve stepping rhythmicity, highlighting the translational potential of non-invasive beta-frequency sensory stimulation for improving gait.

Recording physiological history of cells with chemical labeling

Recordings of the physiological history of cells provide insights into biological processes, yet obtaining such recordings is a challenge. To address this, we introduce a method to record transient cellular events for later analysis. We designed proteins that become labeled in the presence of both a specific cellular activity and a fluorescent substrate. The recording period is set by the presence of the substrate, whereas the cellular activity controls the degree of the labeling. The use of distinguishable substrates enabled the recording of successive periods of activity. We recorded protein-protein interactions, G protein-coupled receptor activation, and increases in intracellular calcium. Recordings of elevated calcium levels allowed selections of cells from heterogeneous populations for transcriptomic analysis and tracking of neuronal activities in flies and zebrafish.

Between neurons and networks: investigating mesoscale brain connectivity in neurological and psychiatric disorders

The study of brain connectivity has been a cornerstone in understanding the complexities of neurological and psychiatric disorders. It has provided invaluable insights into the functional architecture of the brain and how it is perturbed in disorders. However, a persistent challenge has been achieving the proper spatial resolution, and developing computational algorithms to address biological questions at the multi-cellular level, a scale often referred to as the mesoscale. Historically, neuroimaging studies of brain connectivity have predominantly focused on the macroscale, providing insights into inter-regional brain connections but often falling short of resolving the intricacies of neural circuitry at the cellular or mesoscale level. This limitation has hindered our ability to fully comprehend the underlying mechanisms of neurological and psychiatric disorders and to develop targeted interventions. In light of this issue, our review manuscript seeks to bridge this critical gap by delving into the domain of mesoscale neuroimaging. We aim to provide a comprehensive overview of conditions affected by aberrant neural connections, image acquisition techniques, feature extraction, and data analysis methods that are specifically tailored to the mesoscale. We further delineate the potential of brain connectivity research to elucidate complex biological questions, with a particular focus on schizophrenia and epilepsy. This review encompasses topics such as dendritic spine quantification, single neuron morphology, and brain region connectivity. We aim to showcase the applicability and significance of mesoscale neuroimaging techniques in the field of neuroscience, highlighting their potential for gaining insights into the complexities of neurological and psychiatric disorders.