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Illuminating the impact of stress: In vivo approaches to track stress-related neural adaptations
被引:0
|作者:
Parekh, Puja K.
[1
]
机构:
[1] Univ Texas Dallas, Dept Neurosci, 860 N Loop Rd, Richardson, TX 75080 USA
来源:
关键词:
Stress;
Synapses;
Circuits;
Motivation;
Resilience;
Imaging;
TRANSCRIPTIONAL SIGNATURES;
SYNAPTIC PLASTICITY;
DECISION-MAKING;
ANIMAL-MODELS;
DEPRESSION;
BRAIN;
ANHEDONIA;
PATHWAYS;
KETAMINE;
REWARD;
D O I:
10.1016/j.ynstr.2025.100712
中图分类号:
Q189 [神经科学];
学科分类号:
071006 ;
摘要:
Stressful experiences can affect both daily life and long-term health outcomes in a variety of ways. Acute challenges may be adaptive, promoting arousal and enhancing memory and cognitive function. Importantly, however, chronic stress dysregulates the body's physiological regulatory mechanisms consisting of complex hormone interactions throughout the peripheral and central nervous systems. This disrupted signaling consequently alters the balance of synapse formation, maturation and pruning, processes which regulate neural communication, plasticity, learning, cognitive flexibility and adaptive behaviors - hallmarks of a healthy, functional brain. The chronically stressed brain state, therefore, is one which may be uniquely vulnerable. To understand the development of this state, how it is sustained and how behavior and neural function are transiently or indelibly impacted by it, we can turn to a number of advanced approaches in animal models which offer unprecedented insights. This has been the aim of my recent work within the field and the goal of my new independent research program. To achieve this, I have employed methods to uncover how key brain circuits integrate information to support motivated behaviors, how stress impacts their ability to perform this process and how best to operationalize behavioral readouts. Here I present an overview of research contributions that I find most meaningful for advancing our understanding of the impact of stress and propose new avenues which will guide my own framework to address the salient outstanding questions within the field.
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