Reduced connectivity of the auditory cortex in patients with auditory hallucinations: a resting state functional magnetic resonance imaging study

Gavrilescu, Maria; Rossell, Susan L.; Stuart, Geoffrey W.; Shea, Tracey; Innes‐Brown, Hamish; Henshall, Katherine R.; McKay, Colette M.; Sergejew, Alex; Copolov, David L.; Egan, Gary F.

doi:10.1017/s0033291709991632

Cited by 114 publications

(99 citation statements)

References 55 publications

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“…Gavrilescu et al, found that interhemispheric connectivity of both primary (A1) and secondary (A2) auditory cortices were decreased in schizophrenic patients with AH when compared with non-AH patients and healthy controls, whilst the latter two groups did not show any differences in functional connectivity. These findings suggest a disruption of the integration of multiple auditory functions (basic and higher order) in AH patients (Gavrilescu et al 2010). Another study group focused on a network which is composed of regions known to be involved in (inner) speech processing and verbal thought, encompassing the temporo-parietal junction (TPJ), inferior frontal gyrus (IFG) (consisting of Broca's area and the right hemisphere homotope), anterior cingulate cortex (ACC), amygdala, and insula.…”

Section: Local Network Analyses and Progress In Understanding Neuropsmentioning

confidence: 77%

Spontaneous brain activity observed with functional magnetic resonance imaging as a potential biomarker in neuropsychiatric disorders

et al. 2010

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As functional magnetic resonance imaging (fMRI) studies have yielded increasing amounts of information about the brain's spontaneous activity, they have revealed fMRI's potential to locate changes in brain hemodynamics that are associated with neuropsychiatric disorders. In this paper, we review studies that support the notion that changes in brain spontaneous activity observed by fMRI can be used as potential biomarkers for diagnosis and treatment evaluation in neuropsychiatric disorders. We first review the methods used to study spontaneous activity from the perspectives of (1) the properties of local spontaneous activity, (2) the spatial pattern of spontaneous activity, and (3) the topological properties of brain networks. We also summarize the major findings associated with major neuropsychiatric disorders obtained using these methods. Then we review the pilot studies that have used spontaneous activity to discriminate patients from normal controls. Finally, we discuss current challenges and potential research directions to further elucidate the clinical use of spontaneous brain activity in neuropsychiatric disorders.

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Section: Local Network Analyses and Progress In Understanding Neuropsmentioning

confidence: 77%

Spontaneous brain activity observed with functional magnetic resonance imaging as a potential biomarker in neuropsychiatric disorders

et al. 2010

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“…The results suggested that the deficits seen in the hallucinating patient group compared to normal controls may be essentially the same as those seen in the non-hallucinating patients, but that they may be more severe (McKay et al, 2000). Additionally, Gavrilescu et al (2010) have recently published functional MRI evidence of reduced interhemispheric connectivity of primary and secondary auditory cortices in schizophrenia patients who experience auditory hallucinations compared to both non-hallucinating patients and normal controls. Non-hallucinating patients did not show a reduction in connectivity relative to normal control participants, demonstrating a trait effect apparently specific to hallucinators.…”

Section: Introductionmentioning

confidence: 89%

Interhemispheric transfer time in patients with auditory hallucinations: An auditory event-related potential study

Henshall

Sergejew

McKay

et al. 2012

International Journal of Psychophysiology

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“…Most interestingly, some findings of dysconnectivity are associated with symptoms. For example, SZ patients with a history of auditory hallucinations have significantly reduced interhemispheric connectivity in primary and secondary auditory cortices when compared with SZ patients without auditory hallucinations and healthy controls [45]. When using a bilateral amygdala seed, Hoptman et al [46] reveal reductions in connectivity between amygdala and ventral prefrontal cortex regions in patients with SZ or schizoaffective disorder.…”

Section: Dysconnectivity Of Sz Indentified By Seed-based Analysismentioning

confidence: 99%

Brain Connectivity Networks in Schizophrenia Underlying Resting State Functional Magnetic Resonance Imaging

Yu¹,

Allen²,

Sui³

et al. 2013

CTMC

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Schizophrenia (SZ) is a severe neuropsychiatric disorder. A leading hypothesis is that SZ is a brain dysconnection syndrome, involving abnormal interactions between wide-spread brain networks. Resting state functional magnetic resonance imaging (R-fMRI) is a powerful tool to explore the dysconnectivity of brain networks in SZ and other disorders. Seed-based functional connectivity analysis, spatial independent component analysis (ICA), and graph theory-based analysis are popular methods to quantify brain network connectivity in R-fMRI data. Wide-spread network dysconnectivity in SZ has been observed using both seed-based analysis and ICA, although most seed-based studies report decreased connectivity while ICA studies report both increases and decreases. Importantly, most of the findings from both techniques are also associated with typical symptoms of the illness. Disrupted topological properties and altered modular community structure of brain system in SZ have been shown using graph theory-based analysis. On the whole, the resting-state findings regarding brain networks deficits have advanced our understanding of the underlying pathology of SZ. In this article, we review aberrant brain connectivity networks in SZ measured in R-fMRI by the above approaches, and discuss future challenges.

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Reduced connectivity of the auditory cortex in patients with auditory hallucinations: a resting state functional magnetic resonance imaging study

Cited by 114 publications

References 55 publications

Spontaneous brain activity observed with functional magnetic resonance imaging as a potential biomarker in neuropsychiatric disorders

Spontaneous brain activity observed with functional magnetic resonance imaging as a potential biomarker in neuropsychiatric disorders

Interhemispheric transfer time in patients with auditory hallucinations: An auditory event-related potential study

Brain Connectivity Networks in Schizophrenia Underlying Resting State Functional Magnetic Resonance Imaging

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