AI Article Synopsis

  • Anxiety disorders are widespread and severely impact individuals, causing excessive worry and fear that alters thoughts and behaviors.
  • Arousal, which involves regulating alertness and paying attention to stimuli, plays a key role in anxiety but can become poorly regulated, leading to either hypoarousal (low alertness) or hyperarousal (high alertness), which affects how threats are perceived.
  • The chapter highlights difficulties in researching arousal in anxiety models and suggests that new methods combining physiological measurements with detailed neuron activity tracking are essential for advancing treatment options.

Article Abstract

Anxiety disorders are prevalent and debilitating conditions characterized by excessive concern and fear, affecting thoughts, behaviors, and sensations. A critical component of anxiety is arousal, a complex process involving alertness regulation and stimulus salience modulation. While arousal is adaptive in normal circumstances, dysregulation can lead to hypoarousal or hyperarousal, affecting response selection and threat perception. This chapter reviews challenges in studying arousal in preclinical anxiety models, emphasizing the need for multicomponent measurement and analysis. Novel methodologies integrating physiological measurement with activity tracking of neurons with single-cell resolution in awake animals are discussed, with emphasis in current challenges. Understanding these mechanisms is crucial for developing effective treatments for anxiety disorders.

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Source
http://dx.doi.org/10.1007/7854_2024_539DOI Listing

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