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Decoding auditory hallucinations with brain blood flow patterns?

delete2026-03-19
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PRE
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B
Byeon, Haewon *
DOI:10.5498/wjp.v16.i3.113487delete
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Abstract

Abstract

En 中文
This letter provides a comprehensive appraisal of the recent study by Cai et al, which explores a novel approach to the differential diagnosis of auditory verbal hallucinations (AVHs) in psychiatry. While AVHs are a hallmark symptom of schizophrenia, their transdiagnostic nature - also occurring in conditions like post-traumatic stress disorder and recurrent depressive disorder - presents a significant clinical challenge. The study's use of transcranial Doppler (TCD) ultrasonography, a non-invasive and accessible neurophysiological tool, is a key innovation. The authors successfully leveraged TCD data to construct and validate sophisticated nomogram models, which integrate multiple hemodynamic parameters to provide a quantitative, individualized risk prediction for each diagnostic category. The reported discriminative ability of these models (area under the receiver operating characteristic curves > 0.81) is statistically impressive and suggests that unique cerebral blood flow signatures may indeed underlie AVHs in different disorders. However, we also critically highlight the study's limitations, including its retrospective, single-center design, which introduces potential selection bias, and the significant risk of confounding by psychiatric medications, known to alter cerebral hemodynamics. The inherent limitations of TCD, which measures velocity rather than absolute blood flow, also restrict a full understanding of the underlying neurobiology. Future research must focus on rigorous, prospective, multi-center validation to confirm the generalizability and clinical utility of these promising models.
Keywords:
Auditory verbal hallucinations
Transcranial Doppler
Nomogram
Cerebral hemodynamics
Differential diagnosis

Journal

W
World Journal of Psychiatry
IF:
3.4
Papers:
269
Citations:
0

Organization

K
korea university of technology & education
Scholars:
54
Papers: 33
Citations: 0
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