Fiber photometry is a neuroscience technique that can continuously monitor in vivo fluorescence to assess population neural activity or neuropeptide/transmitter release in freely behaving animals. Despite the widespread adoption of this technique, methods to statistically analyze data in an unbiased, objective, and easily adopted manner are lacking. Various pipelines for data analysis exist, but they are often system specific, are only for preprocessing data, and/or lack usability. Current post hoc statistical approaches involve inadvertently biased user-defined time-binned averages or area under the curve analysis. To date, no post hoc user-friendly tool with few assumptions for a standardized unbiased analysis exists, yet such a tool would improve reproducibility and statistical reliability for all users. Hence, we have developed a user-friendly post hoc statistical analysis package in Python that is easily downloaded and applied to data from any fiber photometry system. This Fiber Photometry Post Hoc An...

Lipopolysaccharide (LPS) is a bacterial endotoxin that induces innate immune responses. The present study aimed to elucidate alterations in cerebral cortical surface morphology induced by neonatal exposure to LPS using gyrencephalic ferrets. Male ferret pups received a subcutaneous injection of LPS (500 µg/g of body weight) on Postnatal Day (P)6 and P7. Furthermore, EdU and BrdU were administered on P5 and P7, respectively, to label postproliferative and proliferating cells that were exposed to LPS in the late stage of cortical neurogenesis. On P20 when the primary sulci and gyri had formed, MRI-based morphometry revealed an anterior shift in sulcal infolding in the medial and dorsolateral cortices of LPS-exposed ferrets. Immunofluorescence analysis showed that LPS increased the density of BrdU-labeled cells and reduced their apoptosis, as indicated by cleaved caspase-3 (cCasp3) immunostaining, in the outer stratum of the lateral sulcus located on the parietal association cortex. Furthermore, cCasp3 immuno...

Cortical tracking of the speech envelope is an emerging, noninvasive measure of neurophysiological processing of speech that is being widely adopted. It demonstrates good ecological validity, as it allows researchers to study human processing of continuous, naturalistic speech containing dynamic spectrotemporal variations and rich linguistic content. While measures of cortical tracking have strong clinical and research applications, there is a lack of research documenting the reliability of these measures, including how they are affected by the stimulus and how the stimulus is represented, as well as electroencephalography (EEG) acquisition and analysis parameters. In this study, we measured the test–retest reliability of cortical tracking of the speech envelope across different stimuli (an audiobook vs a podcast), stimulus features (broadband envelope and its derivative, multiband envelope and its derivative), reference electrodes (average mastoid vs common average reference), and EEG frequency bands (del...

Sleep is a vital physiological phenomenon observed among almost all organisms. Although its exact purpose remains elusive, sleep has been linked to memory consolidation. In our present study, we investigated the role of sleep quality on sleep-dependent memory consolidation. Previous studies have shown that tequila , a serine protease, affects long-term memory (LTM) consolidation in flies. In the present study, we identified that the hypomorphic mutation in the tequila gene ( tequilaf01792 ) leads to increased daytime sleep fragmentation at a very early age in male flies. Intrigued by this observation, we delved into further understanding the role of tequila in sleep-dependent memory consolidation by manipulating sleep duration using pharmacological methods such as GABA-A agonist. Inducing sleep using GABA-A agonist resulted in improved sleep during the day. This further led to a significant improvement in the LTM of these flies when compared with the vehicle-treated flies. In conclusion, daytime-dependent ...

Adolescent nicotine use is particularly concerning due to increased susceptibility to long-term effects and dependence during this critical developmental period. This study investigates the therapeutic effects of thiamine on nicotine withdrawal-induced anxiety, anhedonia, and depression in rats. Adolescent rats received nicotine (2 mg/kg, s.c.) for 21 d, followed by 21 d of withdrawal. Thiamine (25 or 50 mg/kg, i.p.) was administered during exposure and withdrawal. Behavioral assessments were used to evaluate anxiety- and depressive-like symptoms, and biochemical analyses measured oxidative stress markers, serotonin levels, MAO activity, BDNF, and GFAP as indicators of neuroinflammation in the prefrontal cortex. Nicotine withdrawal significantly elevated anxiety-, depression-, and anhedonia-like behaviors, increased oxidative stress, and upregulated MAO-A activity and GFAP expression, indicating neuroinflammatory effects. Notably, thiamine administration during both nicotine exposure and withdrawal effecti...

Comparative analyses of locomotor behavior and cellular electrical properties between wild-type and mutant Caenorhabditis elegans are crucial for exploring the gene basis of behaviors and the underlying cellular mechanisms. Although many tools have been developed by research labs and companies, their application is often hindered by implementation difficulties or lack of features specifically suited for C. elegans . Our system addresses these challenges with three key components: WormTracker , SleepTracker , and Action Potential (AP) Analyzer . WormTracker accurately quantifies a comprehensive set of locomotor and body bending metrics, incorporates user-identified dorsal and ventral orientation based on microscopic observation, continuously tracks the animal using a motorized stage, and seamlessly integrates external devices, such as a light source for optogenetic stimulation. SleepTracker detects and quantifies sleep-like behavior in freely moving animals. AP Analyzer assesses the resting membrane potenti...

The history of Artificial Intelligence (AI) is inextricably intertwined with the history of neuroscience. Since the early days of AI, scientists turned to the human brain as a source of guidance for the development of intelligent machines. Unsurprisingly, many pioneers of AI such as Warren McCulloch were trained in the sciences of the brain. Modern AI borrowed most of its vocabulary from neurology and psychology. For instance, computational models consisting of networks of interconnected units —one of the most common approaches to AI— are called Artificial Neural Networks (ANN). Each unit is called an “artificial neuron.” Several areas of research in AI are labelled through neuropsychological categories such as computer vision, machine learning, natural language processing etc. It’s not just a matter of terminology. ANNs, for example, are actually inspired by and based on the functioning of biological neural networks that constitute animal nervous systems.

People often ask me, “Can you have it all?” I don’t know if you can, but I’m certainly having a good time trying. Here’s how.

Huiquan Li is an assistant project scientist in the Spitzer Lab at the University of California, San Diego, where she studies neurotransmitter plasticity in the adult mouse brain and has worked since completing her graduate studies in China. Talented in strategizing how to get complex experiments to work and passionate about sharing neuroscience with anyone, in this interview she shares her advice for designing beautiful experiments. She also shares two anecdotes demonstrating that one-on-one interactions can improve individual lives while at the same time increasing understanding of the relevance of neuroscience to everyone. This interview is a complement to SfN's podcast series, History of SfN: 50th Anniversary. Guests on the podcast were asked to nominate individuals whose careers are making positive cultural or scientific impacts that will shape the next 50 years of neuroscience. Huiquan Li was nominated by Nick Spitzer, Atkinson Family Chair Distinguished Professor of Biological Sciences at University of California, San Diego.

The ALBA Network, whose aim is to promote equality and diversity in brain science, interviewed neuroscientists from all over the globe on the current state of diversity in the field. Here, they speak openly about their life as researchers and their work environments.