Autism spectrum disorder, schizophrenia, and bipolar disorder are neuropsychiatric conditions that manifest early in life with a wide range of phenotypes, including repetitive behavior, agitation, and anxiety ( [American Psychological Association, 2013][1]). While the etiology of these disorders is incompletely understood, recent data implicate a role for mitochondrial dysfunction ( [Norkett et al., 2017][2]; [Khaliulin et al., 2025][3]). Mitochondria translocate to intracellular compartments to support energetics and free-radical buffering; failure to achieve this localization results in cellular dysfunction ( [Picard et al., 2016][4]). Mitochondrial Rho-GTPase 1 ( Miro1 ) resides on the outer mitochondrial membrane and facilitates microtubule-mediated mitochondrial motility ( [Fransson et al., 2003][5]). The loss of MIRO1 is reported to contribute to the onset/progression of neurodegenerative diseases, including amyotrophic lateral sclerosis, Alzheimer's disease, and Parkinson's disease ( [Kay et al., 20...

Repetitive mild traumatic brain injury (rmTBI) is a major contributor to long-term neurological dysfunction, yet many preclinical models lack precise control and quantification of biomechanical forces across impacts. We developed a reproducible, closed-skull mouse model of rmTBI using a custom-built weight–drop apparatus featuring a solenoid-based rebound arrest system, integrated high-speed videography, and accelerometry to track head kinematics during impact. Adult male and female mice received either a single impact or nine daily impacts. Linear and angular acceleration data were analyzed alongside behavioral and histological outcomes. Our apparatus delivered consistent impact and velocity forces with minimal intersubject variability. Additionally, the animals experienced consistent linear and angular acceleration as measured using high-speed video capture. These impacts did not cause skull fracture or acute vascular hemorrhage, but impacted animals had increased return of righting reflex time, consiste...

The growing therapeutic promise of repeated, low-dose ketamine treatment across various psychopathologies—including depression and drug addiction—warrants clarity on its potential addictive properties and their associated mechanisms in both sexes. Accordingly, the present work examined the effects of intermittent low-dose ketamine in male and female rats on behavioral sensitization to the locomotor-activating effects of ketamine, as well as associated molecular profiles in dopamine D1- and D2-receptor-expressing medium spiny neurons (D1- and D2-MSNs) of the nucleus accumbens (NAc). Following intra-NAc infusion of a Cre-inducible RiboTag virus, locomotor activity was measured in adult Drd1a-iCre and Drd2-iCre male and female rats in either diestrus or proestrus following repeated administration of ketamine (0, 10, or 20 mg/kg, i.p.) to evaluate the development of locomotor sensitization. Female—but not male—rats developed sensitization to the locomotor-activating effects of ketamine, occurring more rapidly ...

The nigrostriatal and mesoaccumbal dopamine systems are thought to contribute to changes in behavior and learning during adolescence, yet it is unclear how the rise in gonadal hormones at puberty impacts the function of these systems. We studied the impact of prepubertal gonadectomy (GDX) on later evoked dopamine release in male Mus spicilegus , a mouse whose adolescent life history has been carefully characterized in the wild and laboratory. To examine how puberty impacts dopamine neuron function in M. spicilegus males, we removed the gonads prepubertally at postnatal day (P)25 and then examined evoked dopamine release in the dorsomedial, dorsolateral (DLS), and nucleus accumbens core regions of striatal slices at P60–70 (late adolescence/early adulthood). To measure dopamine release, we used near-infrared catecholamine nanosensors which enable study of spatial distribution of dopamine release. We found that prepubertal GDX led to a significantly reduced density of dopamine release sites and reduced dopam...

Daughterless (Da), the Drosophila melanogaster homolog of mammalian E-protein transcription factor 4 (TCF4), is well studied in fruit fly embryonic development but its functions in adult nervous system are poorly understood. Mutations in human TCF4 gene lead to intellectual disabilities such as Pitt–Hopkins syndrome and TCF4 has also been linked to schizophrenia. Here, to explore the roles of Da in the Drosophila mature brain, we map Da DNA binding sites and study the transcriptomics of the brains where Da function is inhibited by pan-neuronal Extramacrohaete (Emc) overexpression, in both male and female Drosophila . Our transcriptome analyses reveal that in the adult brain Da regulates the expression of genes involved in behavior, memory, synaptic signaling, protein translation, and metabolic processes. Moreover, combining the RNA sequencing data with Da ChIP sequencing results indicates that genes associated with neuronal projection guidance, metabolism, and translation are direct targets of Da. In addit...

Alpha peak frequency (APF) is defined as a prominent spectral peak within the 8–12 Hz frequency range. Typically, an individual's alpha frequency is regarded as a stable neurophysiological marker. A wealth of recent evidence, however, indicates that APF shifts within short timescales in relation to task demands and even spontaneously so. Further, brain stimulation studies often report shifts in APF both within and between experimental sessions, directly contradicting the idea of a stable APF. To characterize the nonstationarities in spectral parameters, we estimated APFs from 1 s epochs of resting-state magnetoencephalography (MEG) recordings from healthy adults of either sex. To enhance signal-to-noise ratio, without compromising on temporal resolution, we averaged power spectra within parcelled regions. Our findings indicate that variation in APFs exacerbates along the posterior-to-anterior cortical plane, i.e., from the occipital to the frontal cortices. Further, by comparisons with amplitude-matched si...

An exciting aspect of neuroscience is developing and testing hypotheses via experimentation. However, due to logistical and financial hurdles, the experiment and discovery component of neuroscience is generally lacking in classroom and outreach settings. To address this issue, here we introduce RetINaBox: a low-cost open–source electronic visual system simulator that provides users with a hands-on tool to discover how the visual system builds feature detectors. RetINaBox includes an LED array for generating visual stimuli and photodiodes that act as an array of model photoreceptors. Custom software on a Raspberry Pi computer reads out responses from model photoreceptors and allows users to control the polarity and delay of the signal transfer from model photoreceptors to model retinal ganglion cells. Interactive lesson plans are provided, guiding users to discover different types of visual feature detectors—including ON/OFF, center-surround, orientation-selective, and direction-selective receptive fields—a...

The life cycle of the model nematode Caenorhabditis elegans involves a choice between two alternative developmental trajectories. Hermaphroditic larvae can either become reproductive adults or, under conditions of crowding or low food availability, enter a long-term, stress-resistant diapause known as the dauer stage. Chemical signals from a secreted larval pheromone promote the dauer trajectory in a concentration-dependent manner, and their influence can be antagonized by increased availability of a microbial food source. The decision is known to be under neuronal control, involving both sensory and interneurons. However, little is known about the dynamics of the underlying circuit, and the circuit mechanisms by which short-term fluctuations in the ratio of food and pheromone experienced by individual larvae are remembered and averaged over several hours. To investigate this, we quantitatively characterized the neuronal responses to food and pheromone inputs by measuring calcium traces from ASI and AIA ne...

While the most common statistical tests assume that the error of the dependent variable follows a normal distribution, dependent variables in translational neuroscience studies often fail to meet this assumption. Common statistical tests like the t test and ANOVA are based on the normality assumption, but quite often these tests are used without checking whether the dependent variable meets the normality assumption which can lead to erroneous interpretations and conclusions about observed associations. There is a significant need for the neuroscience community to utilize nonparametric statistics, particularly for regression analyses. Neuroscientists can greatly enhance the rigor of their analyses by understanding and utilizing nonparametric regression techniques that provide robust estimates of associations when data are skewed. This commentary will discuss and demonstrate analytic techniques that can be used when data do not meet the assumption of normality.

Picture a man in a deckchair, umbrella overhead, relaxing with a drink in hand—while surrounded by industrial wasteland and decay. This was the iconic 1975 album cover for Supertramp's Crisis? What Crisis? The image perfectly captured the cognitive dissonance of denying catastrophe while sitting in its midst. Rick Davies conceived the artwork to satirize how some responded to England's economic crisis of the mid-1970s: “Crisis? What crisis?” Fifty years later, I find myself in my own version of that deckchair—though instead of industrial ruins, I am surrounded by what may be “arguably the largest science crisis of all time.” And just like that man with his parasol, I am tempted to pretend everything is fine (Figure 1). But it is not fine. Not even close. We are facing an uncomfortable truth: the scientific literature is being flooded with fraudulent papers on an industrial scale. This crisis threatens to erode public trust in research at the very moment we need that trust most. Paper mills are commercia...