Faculty Bibliography

Nervous systems control locomotion using rhythmically active networks that orchestrate motor neuron firing patterns. Whether animals use common or distinct genetic programs to encode motor rhythmicity remains unclear. Cross-species comparisons have revealed remarkably conserved neural patterning systems but have also unveiled divergent circuit architectures that can generate similar locomotor behaviors.

Neural recordings performed at an increasing scale and resolution have revealed complex, spatio-temporally precise patterns of activity in the olfactory system. Multiple models may explain the functional consequences of the spatio-temporal olfactory code, but the link to behavior remains unclear. Recent evidence in the field suggests a behavioral sensitivity to both fine spatial and temporal features in the code. How these features and combinations of features give rise to olfactory behavior is the subject of active research in the field. Modern genetic and optogenetic methods show great promise in testing the link between olfactory codes and behavior.

Engineered neural implants have a myriad of potential basic science and clinical neural repair applications. Although there are implants that are currently undergoing their first clinical investigations, optimizing their long-term viability and efficacy remain an open challenge. Functional implants with pre-vascularization of various engineered tissues have proven to enhance post-implantation host integration, and well-known synergistic neural-vascular interplays suggest that this strategy could also be promising for neural tissue engineering. Here, we report the development of a novel bio-engineered neuro-vascular co-culture construct, and demonstrate that it exhibits enhanced neurotrophic factor expression, and more complex neuronal morphology. Crucially, by introducing genetically encoded calcium indicators (GECIs) into the co-culture, we are able to monitor functional activity of the neural network, and demonstrate greater activity levels and complexity as a result of the introduction of endothelial cells in the construct. The presence of this enhanced activity could putatively lead to superior integration outcomes. Indeed, leveraging on the ability to monitor the construct's development post-implantation with GECIs, we observe improved integration phenotypes in the spinal cord of mice relative to non-vascularized controls. Our approach provides a new experimental system with functional neural feedback for studying the interplay between vascular and neural development while advancing the optimization of neural implants towards potential clinical applications.

The nervous system represents the most complex tissue in animals. How this complexity evolved has been a challenging question to address. The explosion in single cell sequencing techniques, the development of new algorithms to cluster single cells into cell types, along with powerful tools for drawing developmental trajectories offer a unique opportunity to compare homologous cell types between species. They further permit the identification of key developmental points and transcription factors that can lead to the evolution of new cell types. At the same time, the ease of use and efficiency of CRISPR genome editing technology allow validation of predicted regulators. This promises exciting developments in the next few years in the field of neuronal evolution and development.

The local field potential (LFP) is an aggregate measure of group neuronal activity and is often correlated with the action potentials of single neurons. In recent years, investigators have found that action potential firing rates increase during elevations in power high-frequency band oscillations (50-200 Hz range). However, action potentials also contribute to the LFP signal itself, making the spike-LFP relationship complex. Here, we examine the relationship between spike rates and LFP in varying frequency bands in rat neocortical recordings. We find that 50-180 Hz oscillations correlate most consistently with high firing rates, but that other LFP bands also carry information relating to spiking, including in some cases anti-correlations. Relatedly, we find that spiking itself and electromyographic activity contribute to LFP power in these bands. The relationship between spike rates and LFP power varies between brain states and between individual cells. Finally, we create an improved oscillation-based predictor of action potential activity by specifically utilizing information from across the entire recorded frequency spectrum of LFP. The findings illustrate both caveats and improvements to be taken into account in attempts to infer spiking activity from LFP.

The types of errors during speech production can vary across individuals with chronic post-stroke aphasia, possibly due to the location and extent of brain damage. In this study, we evaluated the relationship between semantic vs. phonemic errors during confrontational naming, and their relationship with the degree of damage to ventral and dorsal white matter pathways extending beyond the necrotic stroke lesion. Based on the dual stream model of language processing, we tested the hypothesis that semantic errors would be associated with ventral stream damage, whereas phonemic errors would be associated with dorsal stream damage, but not vice-versa. Multi-shell diffusion MRI was used to obtain kurtosis-based white matter tractography from 32 chronic stroke survivors. Using diffusion microstructural tissue modeling, we estimated axonal loss along the length of the inferior and superior longitudinal fasciculi (ILF and SLF), representing the main pathways in the ventral and dorsal streams, respectively. The frequency of semantic paraphasias was strongly associated with ILF axonal loss, whereas phonemic paraphasias were strongly associated with SLF axonal loss, but not vice versa. This dissociation between semantic and phonological processing is in agreement with the dual stream model of language processing and corroborates the concept that, during speech production, knowledge association (semantics) depends on the integrity of ventral, whereas form encoding (phonological encoding) is more localized to dorsal pathways. These findings also demonstrate the importance of the residual integrity of specific white matter pathways beyond regional gray matter damage for speech production.

G protein-coupled receptors (GPCRs) mediate the transduction of extracellular signals into complex intracellular responses. Despite their ubiquitous roles in physiological processes and as drug targets for a wide range of disorders, the precise mechanisms of GPCR function at the molecular, cellular, and systems levels remain partially understood. To dissect the function of individual receptor subtypes with high spatiotemporal precision, various optogenetic and photopharmacological approaches have been reported that use the power of light for receptor activation and deactivation. Here, we introduce a novel and, to date, most remote way of applying photoswitchable orthogonally remotely tethered ligands by using a SNAP-tag fused nanobody. Our nanobody-photoswitch conjugates can be used to target a green fluorescent protein-fused metabotropic glutamate receptor by either gene-free application of purified complexes or coexpression of genetically encoded nanobodies to yield robust, reversible control of agonist binding and subsequent downstream activation. By harboring and combining the selectivity and flexibility of both nanobodies and self-labeling proteins (or suicide enzymes), we set the stage for targeting endogenous receptors in vivo.

The contributions of areas downstream of retinal ganglion cells involved in the processing and regulation of mood remain largely unspecified. In this issue of Cell, Fernandez et al. (2018) identify a thalamic circuit within the perihabenular region (pHb) linking daily changes of light pattern to mood regulation.

Chronic pain is known to induce an amplified aversive reaction to peripheral nociceptive inputs. This enhanced affective response constitutes a key pathologic feature of chronic pain syndromes such as fibromyalgia. However, the neural mechanisms that underlie this important aspect of pain processing remain poorly understood, hindering the development of treatments. Here, we show that a single dose of ketamine can produce a persistent reduction in the aversive response to noxious stimuli in rodent chronic pain models, long after the termination of its anti-nociceptive effects. Furthermore, we demonstrated that this anti-aversive property is mediated by prolonged suppression of the hyperactivity of neurons in the anterior cingulate cortex (ACC), a brain region well known to regulate pain affect. Therefore, our results indicate that it is feasible to dissociate the affective from the sensory component of pain, and demonstrate the potential for low-dose ketamine to be an important therapy for chronic pain syndromes.