Real-time fMRI neurofeedback reduces auditory hallucinations and modulates resting state connectivity of involved brain regions: Part 2: Default mode network -preliminary evidence
Clemens Bauer, Kana Okano, Satrajit Ghosh, Yoon Ji Lee, Helena Melero, Carlo de Los Angeles, Paul G. Nestor, Elisabetta C. del Re, Georg Northoff, Margaret Niznikiewicz, Susan Whitfield‐Gabrieli
Psychiatry Research January 14, 2020 DOI: 10.1016/j.psychres.2020.112770 via OpenAlex
Summary
AI-generated from the abstractAuditory hallucinations in schizophrenia are linked to overactivity and hyperconnectivity in the default mode network and reduced anticorrelation with the central executive network. Patients were trained with real-time fMRI neurofeedback and meditation strategies to modulate these networks. The intervention reduced default mode network hyperconnectivity and increased anticorrelation between the default mode and central executive networks. Changes in individual default mode network connectivity correlated with reductions in auditory hallucination frequency and severity. This provides the first empirical evidence that meditation-enhanced neurofeedback can directly alter resting state network activity and reduce auditory hallucinations.
Study at a glance
| Characteristics | Intervention study with real-time fMRI neurofeedback Peer reviewed |
|---|---|
| Population | Patients with schizophrenia |
| Interventions | real-time fMRI neurofeedback meditation strategies |
| Topics | Default mode network Meditation |
| Keywords | Neurofeedback Neuroscience Resting State FMRI |
| Citations | 87 |
| Key finding | Meditation-enhanced real-time fMRI neurofeedback reduced default mode network hyperconnectivity and increased anticorrelation with the central executive network, and these changes correlated with reductions in auditory hallucinations. |
Abstract
Auditory hallucinations (AHs) are one of the most distressing symptoms of schizophrenia (SZ) and are often resistant to medication. Imaging studies of individuals with SZ show hyperactivation of the default mode network (DMN) and the superior temporal gyrus (STG). Studies in SZ show DMN hyperconnectivity and reduced anticorrelation between DMN and the central executive network (CEN). DMN hyperconnectivity has been associated with positive symptoms such as AHs while reduced DMN anticorrelations with cognitive impairment. Using real-time fMRI neurofeedback (rt-fMRI-NFB) we trained SZ patients to modulate DMN and CEN networks. Meditation is effective in reducing AHs in SZ and to modulate brain network integration and increase DMN anticorrelations. Consequently, patients were provided with meditation strategies to enhance their abilities to modulate DMN/CEN. Results show a reduction of DMN hyperconnectivity and increase in DMNCEN anticorrelation. Furthermore, the change in individual DMN connectivity significantly correlated with reductions in AHs. This is the first time that meditation enhanced through rt-fMRI-NFB is used to reduce AHs in SZ. Moreover, it provides the first empirical evidence for a direct causal relation between meditation enhanced rt-fMRI-NFB modulation of DMNCEN activity and post-intervention modulation of resting state networks ensuing in reductions in frequency and severity of AHs.