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Anderson, K. R.

Publications and source records attributed to Anderson, K. R..

2 recordsLinked to original sources

A Novel Localized Tracing Technique to Explore Intra-Amygdala Functional and Structural Connectivity Patterns as Mediators of Individual Variability in Stress Response

Neuropsychiatric disorders including anxiety and depression can be induced by stress, but not all individuals exposed to stress develop psychopathology. Therefore, probing the neural substrates that underlie trait vulnerability to stress may open the door for preventive approaches that use biological markers to identify at-risk populations. Here, we developed a novel tracing technique to probe local connectivity patterns as predictors of individual variability in stress responses. Specifically, we combined a retrograde transsynaptic rabies tracing system with cFos colocalization immediately after an acute stressor to elucidate local structural and stress-activated (functional) differences in connectivity within the amygdala complex in female and male mice along a spectrum of social approach/avoidance following acute social defeat stress. While we find no structural or functional connections within the amygdala complex as predictors of individual variability in our behavioral readout, our methods provide a novel approach to investigating cellular and behavioral individual variability in stress responses. Furthermore, we identify overall stress-activation as a predictor of social approach/avoidance in two subregions, medial amygdala and piriform-amygdala area, which may serve as potential biological markers of trait vulnerability, with possible clinical applicability. Significance StatementExposure to stress is ubiquitous, but the outcomes of stress exposure vary greatly between individuals. Our work introduces a novel tracing technique to probe for structural and functional connectivity patterns across a broad spectrum of behavioral responses to social stress. Utilizing pre-clinical classification in conjunction with representative behavioral classification introduces to the field a mechanism to identify potential clinical targets for preventative screening for neuropsychiatric disorders as well as further individualized treatment. Notably, our work identifies two intra-amygdalar neural correlates of social stress, opening the door for future investigation of the role these regions play in mediating social stress.

neuroscience↗

MouseCircuits.org: An online repository to guide the circuit era of disordered affect

Affective disorders rank amongst the most disruptive and prevalent psychiatric diseases, resulting in enormous societal and economic burden, and immeasurable personal costs. Novel therapies are urgently needed but have remained elusive. The era of circuit-mapping in rodent models of disordered affect, ushered in by recent technological advancements allowing for precise and specific neural control, has reenergized the hope for precision psychiatry. Here, we present a novel whole-brain cumulative network and critically access the progress made to-date on circuits mediating affective-like behaviors in rodents to seek unifying principles of this cumulative data. We identified 106 original manuscripts in which optogenetics or chemogenetics were used to dissect behaviors related to fear-like, depressive-like or anxiety-like behaviors in rodents. Focusing on the 60 manuscripts that investigated pathways rather than regions, we identified emergent themes. We found that while a few pathways have been validated across similar behaviors and multiple labs, the data is mostly disjointed, with evidence of bidirectional effects of several pathways. Additionally, there is a need for analysis informed by observation prior to perturbation. Given the complex nature of brain connectivity, we argue that the compartmentalized viewpoint that develops as a consequence of fragmented pathway-specific manipulations does not readily lend itself to an integrative picture. To address this, we launched an interactive online consortium, MouseCircuits.org, an open-source platform for consolidated circuit data. This tool aims to support the shared vision of informed circuit dissection that ultimately leads to prevention and treatment of human disorders.

neuroscience↗