Biology subjects

Young, M. E.

Publications and source records attributed to Young, M. E..

4 recordsLinked to original sources

bioRxiv2021

Corticostriatal dynamics underlying components of binge-like eating in mice

Binge eating (BE) is a maladaptive repetitive feeding behavior present across nearly all eating disorder diagnoses. Despite the substantial negative impact of BE on psychological and physiological health, its underlying neural mechanisms are largely unknown. Other repetitive behavior disorders (e.g., obsessive compulsive disorder) show dysfunction within corticostriatal circuitry. Additionally, previous pre-clinical and clinical work has highlighted an imbalance between goal-directed and habitual responding in BE. The aim of the current study was to longitudinally examine in vivo neural activity within corticostriatal regions associated with habitual behavior- the infralimbic cortex (IL) and dorsolateral striatum (DLS)- in a robust pre-clinical model for BE. Female C57BL/6 mice (N=32) were randomized to receive: 1) intermittent (daily, 2-hour) binge-like access to palatable food (BE mice), or 2) continuous, non-intermittent (24-hour) access to palatable food (non-BE mice). In vivo calcium imaging was performed via fiber photometry at baseline and after chronic (4 weeks) engagement in the model for BE. Feeding behaviors (feeding bout onset/offset) during the recordings were captured using lickometers which generated TTL outputs for precise alignment of behavior to neural data. IL showed no specific changes in neural activity related to BE. However, BE animals showed decreased DLS activity at feeding onset and offset at the chronic timepoint when compared to baseline. Additionally, BE mice had significantly lower DLS activity at feeding onset and offset at the chronic timepoint compared to non-BE mice. These results point to a role for DLS hypofunction in chronic BE, highlighting a potential target for future treatment intervention. Significance StatementBinge eating is a chronic and repetitive eating behavior that is associated with poor physiological and psychosocial outcomes. Despite the negative impact of binge eating, little is known about the neurobiological mechanisms contributing to the chronic course and persistence of the behavior. To investigate potential neural mechanisms underlying binge eating, we are using approaches developed to monitor neural activity in rodents. This study is the first to identify longitudinal changes in neural activity within regions of the prefrontal cortex and dorsal striatum during binge-like eating behavior in mice. Findings from this work could inform targeted biological treatments for binge eating.

neuroscience↗

bioRxiv2021

BSCL2/Seipin Deficiency in Heart Causes Energy Deficit and Heart Failure via Inducing Excessive Lipid Catabolism

Heart failure (HF) is one of the leading causes of death world-wide and is associated with cardiac metabolic perturbations. Human Type 2 Berardinelli-Seip Congenital Lipodystrophy (BSCL2) disease is caused by mutations in the BSCL2 gene. Global lipodystrophic Bscl2-/- mice exhibit hypertrophic cardiomyopathy. Whether BSCL2 plays a direct role in regulating cardiac substrate metabolism and/or contractile function remains unknown. Here we show that mice with cardiac-specific deletion of Bscl2 (Bscl2cKO) developed dilated HF. Myocardial BSCL2 deletion led to elevated ATGL expression and FA oxidation (FAO) along with reduced cardiac lipid contents. Cardiac dysfunction in Bscl2cKO mice was independent of mitochondrial dysfunction and oxidative stress, but associated with decreased metabolic reserve and ATP levels. Importantly, heart failure in Bscl2cKO mice could be partially reversed by pharmacological inhibition of FAO, or prevented by high fat diet (HFD) feeding. Lipidomic analysis further identified markedly reduced glycerolipids, glycerophospholipids, NEFA and acylcarnitines in Bscl2cKO hearts, which were partially normalized by FAO inhibition or HFD. Our study reveals a new form of HF with excessive lipid catabolism, and identifies a crucial cardiomyocyte-specific role of BSCL2 in controlling cardiac lipid catabolism, energy state and contractile function. It also provides novel insights into metabolically treating energy-starved HF using FAO inhibitor or HFD.

physiology↗

bioRxiv2020

Inferring brain-wide interactions using data-constrained recurrent neural network models

Behavior arises from the coordinated activity of numerous anatomically and functionally distinct brain regions. Modern experimental tools allow unprecedented access to large neural populations spanning many interacting regions brain-wide. Yet, understanding such large-scale datasets necessitates both scalable computational models to extract meaningful features of inter-region communication and principled theories to interpret those features. Here, we introduce Current-Based Decomposition (CURBD), an approach for inferring brain-wide interactions using data-constrained recurrent neural network models that directly reproduce experimentally-obtained neural data. CURBD leverages the functional interactions inferred by such models to reveal directional currents between multiple brain regions. We first show that CURBD accurately isolates inter-region currents in simulated networks with known dynamics. We then apply CURBD to multi-region neural recordings obtained from mice during running, macaques during Pavlovian conditioning, and humans during memory retrieval to demonstrate the widespread applicability of CURBD to untangle brain-wide interactions underlying behavior from a variety of neural datasets.

neuroscience↗

bioRxiv2020

Temporally-specific sequences of neural activity across interconnected corticolimbic structures during reward anticipation

Functional neuroimaging studies indicate that interconnected parts of the subcallosal anterior cingulate cortex (ACC), striatum, and amygdala play a fundamental role in affect in health and disease. Yet, while the patterns of neural activity engaged in striatum and amygdala during affective processing are well established, especially during reward anticipation, little is known about subcallosal ACC. Here we recorded neural activity in non-human primate subcallosal ACC and compared this to interconnected parts of basolateral amygdala and rostromedial striatum while macaque monkeys performed reward-based tasks. Applying multiple analysis approaches, we found that neurons in subcallosal ACC and rostromedial striatum preferentially signal anticipated reward using short bursts of activity that form temporally specific patterns. By contrast, basolateral amygdala uses a mixture of both temporally specific and more sustained patterns of activity to signal anticipated reward. Thus, dynamic patterns of neural activity across populations of neurons are engaged in affect, especially in subcallosal ACC. HIGHLIGHTSO_LISustained changes in neural activity signal anticipated reward in basolateral amygdala C_LIO_LITemporally specific patterns signal anticipated reward in all areas recorded C_LIO_LINeurons exhibit more punctate encoding when tasks become more complex C_LIO_LITemporally specific patterns of neural activity signal different anticipated rewards in BLA C_LI

neuroscience↗