Vocal communication is essential for social behavior, yet the distributed brain networks underlying vocal production remain elusive. Male mice produce ultrasonic vocalizations (USVs) during courtship, providing a rodent model for investigating neural circuits underlying innate vocal communication. Here, we used a double-labeling strategy combining genetic activity tagging (TRAP2) and c-Fos immunohistochemistry to generate an unbiased, whole-brain map of neuronal ensembles activated during courtship-induced USV production in adult male mice. By tracking neuronal activity across 25 brain regions during two independent courtship sessions, we identified populations consistently recruited during social vocalization. Quantitative analyses revealed robust activation in the caudal periaqueductal gray, confirming its established role as a hub for vocal motor control. Importantly, correlation analyses between neuronal activity and USV count distinguished regions specifically linked to vocal output from those associa...

Decision-making is a continuous process that manifests as evolving sequences of motor movements while animals navigate the sensory environment. Studying decision-making in a naturalistic setting has been challenging as restrictions are typically imposed on subjects’ motor actions in the laboratory. We utilized a novel paradigm in which animals move freely throughout the decision-making process to examine the sequence and timing of motor actions predictive of decisions. We trained freely moving ferrets (two males, three females), highly visual carnivores, to perform visual discrimination tasks and measured their head position and eye movements to assess the temporal dynamics of heading and saccades during visually guided decisions. We discovered that heading revealed ferrets' “turning time” per trial, signaling their choices, and heading on its own best predicted ferrets' decisions. Ferrets made decisions quickly and decisively, although total trial durations varied across animals. Importantly, initial head...

Neurons couple to various degrees to the activity level of the local neighboring population whereby strongly coupled “choristers” and weakly coupled “soloists” have been identified as two extremes of a continuous spectrum. At the same time neuronal populations undergo coordinated ON and OFF cortical state activity fluctuations, which are locally modulated by attention. The population coupling of soloists and choristers suggests that soloists should show limited alignment with cortical state fluctuations, while choristers should exhibit profound alignment. To test this, we recorded neurons across cortical layers in macaque areas V1 and V4 ( n  = 2 males), while animals performed a feature-based spatial attention task. As expected, we found a wide range of population coupling strength of neurons. In line with our prediction, coupling of choristers to cortical state changes (ON-OFF transitions) was generally stronger than that of soloists. The strength of population coupling of neurons was similar during spon...

Ischemic stroke, a leading cause of neurological morbidity, is characterized by extensive neuronal injury and a robust inflammatory response. Erbin, a scaffold protein involved in multiple cellular signaling pathways, regulates neuroinflammation and may confer neuroprotection against ischemia–reperfusion (I/R) injury. A mouse model of middle cerebral artery occlusion was utilized to evaluate the neuroprotective role of Erbin. Male mice were allocated into groups receiving either a lentiviral (LV) control vector or LV-mediated Erbin overexpression, followed by I/R injury induction. Neurological function, infarct volume, and expression levels of inflammatory cytokines and mitogen-activated protein kinase (MAPK) signaling proteins were analyzed. Overexpression of Erbin via LV transduction significantly reduced cerebral infarct volume and mitigated neurological impairments post-I/R injury. Furthermore, Erbin overexpression suppressed the phosphorylation of p38 and extracellular signal-regulated kinase in HT22 ...

Following a traumatic brain injury (TBI), the neocortex undergoes time-dependent cellular responses including immediate tissue deformation, enhanced excitability, and elevated expression of immediate early genes. However, the spatial extent of early neuronal activity after a focal injury remains unclear. Here we use targeted recombination in active populations reporter mice of both sexes to identify neurons activated in the acute phase following a controlled cortical impact injury applied to the somatosensory neocortex. We find widespread cell activation across large portions of the cortex that extends beyond the astrocytic and microglial responses marking the injury site. Activated cells are predominantly neurons, and few cells colabel with GFAP or IBA1. Our findings reveal that even focal injury engages cortical circuits across large portions of the injured brain, highlighting the importance of considering cortex-wide neuronal dynamics in the early postinjury period and their potential impact on network ...

Animal learning can be analyzed on two timescales: task acquisition across training sessions and motivation fluctuations within training sessions. How do variations in motor and neurophysiologic activity relate to task performance over these timescales? Here, this question was examined in head-fixed mice performing a whisker-based sensory discrimination task. Male mice were trained for 12–14 daily sessions on a go/no-go task, each lasting ∼1 h to capture spontaneous performance fluctuations over minutes. Simultaneous to task performance, “nonperformance variables” were tracked, including wheel running, pupil size, eyelid aperture, and sensory cortical activity. First, motivation states were defined based on performance tendencies over minutes, leading to three state categories: persistent, disengaged, or attentive. Nonperformance variables were found to predict these states independent of task correctness. Then, when further parsing these states by the go/no-go outcomes of hit, miss, false alarm, or correc...

The refinement of gross motor skills, such as locomotion, during development is conserved across vertebrate species. Our previous work demonstrated, in larval zebrafish, that dopaminergic signaling through the dopamine D2-like family of receptors, specifically the dopamine 4 receptor subtype, was necessary for the developmental transformation of behaviorally relevant locomotor activity from an immature to a mature pattern between 3 and 4 d postfertilization. In this study, we used a complement of tools, including electrophysiology, pharmacology, in vivo calcium imaging, liquid chromatography-mass spectrometry, and quantitative reverse transcription polymerase chain reaction to characterize the functional and molecular mechanisms responsible for this dopaminergic-mediated refinement of spinal locomotor activity. The results demonstrate that the dopamine 4 receptor subtype is functional in, at least, a subset of immature larvae. Further, gene expression of all D2-like receptor subtypes, levels of dopamine, a...

Dr. Ann McKee will describe the emergence of chronic traumatic encephalopathy (CTE) as a distinct disease over the past 20 years.

The amount of time previously spent awake or asleep strongly impacts the sleep electroencephalogram (EEG), especially slow waves during non-rapid-eye-movement (NREM) sleep. These effects on the sleep EEG meaningfully interact with age and to a lesser extent developmental disorders such as attention-deficit hyperactivity disorder (ADHD). We aimed to determine whether EEG oscillations during wakefulness were likewise affected by the interaction of sleep and development, using data collected from 163 participants 3-25 years old (62 female). We analyzed age- and sleep-dependent changes in two measures of oscillatory activity (amplitudes and density) and aperiodic activity (offsets and exponents). Finally, we compared wake EEG in children with ADHD (N=58) to neurotypical controls, with habitual good sleep quality required for inclusion. We found that oscillation amplitudes exhibited the same dynamics as sleep slow waves: decreasing with age, decreasing after sleep, and the overnight decrease decreasing with age...

This study used machine learning to objectively identify seizures in the electroencephalogram of a model of post-traumatic epilepsy based on fluid percussion injury in male rats. We applied transfer learning to a neural-network trained and tested on three potentially distinct electroencephalographic phenotypes: (1) late-onset convulsive seizures associated with rare post-traumatic epilepsy, (2) early-onset convulsive seizures that often occurred after sham or injury treatment (independent of post-traumatic epilepsy), and (3) spike-wave discharges, which occurred in both injured and sham-control rats. The neural network was able to detect seizure events within individual animals and across different cohorts and showed that early and late seizures have similar electroencephalographic phenotypes. Additionally, crossover training and testing on spike-wave discharges from injured and sham-control rats distinguished a convulsive-seizure phenotype from normal spike-wave discharges. Convolutional neural network mo...