A common but overlooked form of explanation in psychiatry is what I label ‘empathetic explanation’. Empathetic explanations invoke empathetic variables, which, in addition to providing an explanation of the target phenomenon, also afford an empathetic understanding of it. Focusing on the case of auditory verbal hallucination (AVH), I argue that empathetic explanation fails to provide an adequate account of the phenomenon, perniciously shapes empirical research, and confuses empathetic understanding with scientific understanding. I close by providing a general condition on the (...) legitimate application of empathetic explanation. (shrink)

A theory which has had significant influence seeks to explain auditory verbal hallucinations as utterances in inner speech which are not properly monitored and are consequently misattributed to some external source. This paper argues for a distinction between inner speech and imagined speech, on the basis that inner speech is a type of actual speech. The paper argues that AVHs are more likely instances of imagined speech, rather that inner speech, which are not properly monitored : 86–107, 2012), Cho and (...) Wu and Cho and Wu, although they prefer a quite different explanation of AVHs). (shrink)

Inner speech travels under many aliases: the inner voice, verbal thought, thinking in words, internal verbalization, “talking in your head,” the “little voice in the head,” and so on. It is both a familiar element of first-person experience and a psychological phenomenon whose complex cognitive components and distributed neural bases are increasingly well understood. There is evidence that inner speech plays a variety of cognitive roles, from enabling abstract thought, to supporting metacognition, memory, and executive function. One active area of (...) controversy concerns the relation of inner speech to auditory verbal hallucinations in schizophrenia, with a common proposal being that sufferers of AVH misidentify their own inner speech as being generated by someone else. Recently, researchers have used artificial intelligence to translate the neural and neuromuscular signatures of inner speech into corresponding outer speech signals, laying the groundwork for a variety of new applications and interventions. (shrink)