Real-Time Symptom Capture of Hallucinations in Schizophrenia with fMRI: Absence of Duration-Dependent Activity

Author:

Gill Karanvir12,Percival Chantal12,Roes Meighen12,Arreaza Leo1,Chinchani Abhijit12,Sanford Nicole12ORCID,Sena Walter3ORCID,Mohammadsadeghi Homa4,Menon Mahesh2,Hughes Matthew5,Carruthers Sean5ORCID,Sumner Philip5,Woods Will5,Jardri Renaud6ORCID,Sommer Iris E7,Rossell Susan L58,Woodward Todd S12ORCID

Affiliation:

1. BC Mental Health and Addictions Research Institute , Vancouver, BC , Canada

2. Department of Psychiatry, University of British Columbia , Vancouver, BC , Canada

3. Instituto de Psiquiatria, Universidade Federal do Rio de Janeiro , Av. Venceslau Braz, 71, Rio de Janeiro, RJ , Brazil

4. Iran University of Medical Sciences , Tehran , Iran

5. Centre for Mental Health, School of Health Sciences, Swinburne University , Melbourne , Australia

6. Univ Lille, INSERM U-1172, CHU Lille, Lille Neuroscience and Cognition Centre, Plasticity & SubjectivitY Team , Lille , France

7. Department of Neuroscience, University Medical Center Groningen , Groningen , The Netherlands

8. St Vincent’s Mental Health, St Vincent’s Hospital , Melbourne , Australia

Abstract

Abstract Background While advances in the field of functional magnetic resonance imaging (fMRI) provide new opportunities to study brain networks underlying the experience of hallucinations in psychosis, there are methodological challenges unique to symptom-capture studies. Study Design We extracted brain networks activated during hallucination-capture for schizophrenia patients when fMRI data collected from two sites was merged (combined N = 27). A multidimensional analysis technique was applied, which would allow separation of brain networks involved in the hallucinatory experience itself from those involved in the motor response of indicating the beginning and end of the perceived hallucinatory experience. To avoid reverse inference when attributing a function (e.g., a hallucination) to anatomical regions, it was required that longer hallucinatory experiences produce extended brain responses relative to shorter. Study Results For radio-speech sound files, an auditory perception brain network emerged, and displayed speech-duration-dependent hemodynamic responses (HDRs). However, in the hallucination-capture blocks, no network showed hallucination-duration-dependent HDRs, but a retrieved network that was anatomically classified as motor response emerged. Conclusions During symptom capture of hallucinations during fMRI, no HDR showed duration dependence, but a brain network anatomically matching the motor response network was retrieved. Previous reports on brain networks detected by fMRI during hallucination capture are reviewed in this context; namely, that the brain networks interpreted as involved in hallucinations may in fact be involved only in the motor response indicating the onset of the hallucination.

Funder

Australian National Health and Medical Research Council

PHRC-N Grant MULTIMODHAL

Dutch Research Council NOW

Publisher

Oxford University Press (OUP)

Subject

Psychiatry and Mental health

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