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Updated: Oct 1, 2026

Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat
Published on: September 12, 2014
Many labels, shared threat processes: classifying domain-labelled anxieties by mechanism rather than context
Peng Wang1,2,3, Liye Zou4, Fred Paas5,6
1Joint International Research Unit on Neuroplasticity, CERVO Brain Research Centre and CHU de Québec, Laval University, 2601, chemin de la Canardière,Quebec City,G1J 2G3, Canada.
Abstract:
Psychology has accumulated numerous 'X-anxieties'-math, test, foreign-language, public-speaking, driving, health, and others-each with its own scale and specialist literature. Yet these experiences often share a phenomenological core of anticipatory worry, bodily arousal, catastrophic simulation, and avoidance. This review considers whether many such labels index context-bound expressions of common threat-regulation processes rather than independent mechanisms. A mechanism-first account is developed from experience to process to biological implementation: threat appraisal under uncertainty, interoceptive inference, and attentional control are proposed as content-general operations through which diverse cues recruit a conserved defensive architecture. Human neuroimaging, psychophysiology, and comparative evidence are broadly compatible with this account but do not establish mechanistic identity. In particular, non-significant cross-domain differences cannot demonstrate equivalence without formal equivalence testing or Bayesian evidence, and the diphasic autonomic response in blood-injection-injury phobia constitutes a genuine boundary case, suggesting that a shared appraisal core may feed more than one effector profile. The shared-process account is therefore treated as a parsimonious, falsifiable hypothesis. It generates predictions and boundary conditions for cross-context neural generalization, autonomic equivalence, reliable cognitive transfer, and latent structure, together with designs capable of distinguishing common processes from domain-specific mechanisms. Classifying anxieties by process rather than label could improve measurement, sharpen mechanistic tests, and guide transdiagnostic interventions while avoiding premature reification of context-specific constructs.
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