Abnormal Degree Centrality of Bilateral Putamen and Left Superior Frontal Gyrus in Schizophrenia with Auditory Hallucinations

Chen, Cheng; Wang, Huiling; Wu, Shihao; Huang, Huan; Zou, Jilin; Chen, Jun; Jiang, Tianzi; Zhou, Yuan; Wang, Gaohua

doi:10.4103/0366-6999.170269

Cited by 32 publications

(26 citation statements)

References 41 publications

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“…The results of the present study also showed that the hallucination severity was significantly negatively correlated with the GMV in the left SFG, supporting the previous reports that the left SFG is involved in hallucinations [ 68 , 74 ] and more in detail the GMV of the left SFG is significantly negatively correlated with severity of hallucination [ 68 ]. It has also been known that the left SFG plays a critical role in mediating working memory [ 75 ].…”

Section: Discussionsupporting

confidence: 91%

Correlations between exploratory eye movement, hallucination, and cortical gray matter volume in people with schizophrenia

et al. 2018

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BackgroundWidespread cortical gray matter alternations in people with schizophrenia are correlated with both psychotic symptoms and cognitive/behavioral abnormalities, including the impairments of exploratory eye movement (EEM). Particularly, the loss of gray matter density is specifically related to deficits of the responsive search score (RSS) of EEM in schizophrenia. It is unknown, however, whether the schizophrenia-related RSS deficits are associated with certain psychotic symptoms, such as hallucinations.MethodsIn 33 participants with schizophrenia, the measurement of EEM, assessment of the hallucination severity using Positive and Negative Syndrome Scale (PANSS) and a voxel-based morphometric analysis of cortical gray matter volume (GMV) were conducted to investigate the relationships between the RSS of EEM, symptom severity, and GMV. In 29 matched healthy controls, the measurement of EEM and a voxel-based morphometric analysis of cortical GMV were also conducted to investigate the relationship between the RSS of EEM and GMV.ResultsIn participants with schizophrenia, the hallucination severity was significantly negatively correlated with both the RSS and the GMV of a large number of brain regions in the frontal, temporal, parietal, orbitofrontal, calcarine, cingulate, and insular cortices, and rolandic operculum, hippocampus, parahippocampal gyrus, and thalamus. Also in participants with schizophrenia, the RSS was significantly positively correlated with the GMV in the left supplementary motor area (SMA), left superior frontal cortex (SFG), bilateral precentral gyri, bilateral postcentral gyri, and bilateral middle frontal cortices. More importantly, the GMV of the SMA, SFG, and precentral gyrus in the left hemisphere was not only significantly negatively correlated with the hallucination severity but also significantly positively correlated with the RSS. No significant correlation could be revealed between the RSS and the GMV of any brain regions in healthy controls.ConclusionsThere was a significantly negative association between the hallucination severity and the RSS of EEM, suggesting that the RSS may be a potential biomarker for predicting the hallucination severity of schizophrenia. Also, the GMV of the left SMA, SFG, and precentral gyrus may be the common substrates underlying both hallucination induction and the RSS in people with schizophrenia.Electronic supplementary materialThe online version of this article (10.1186/s12888-018-1806-8) contains supplementary material, which is available to authorized users.

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Section: Discussionsupporting

confidence: 91%

Correlations between exploratory eye movement, hallucination, and cortical gray matter volume in people with schizophrenia

et al. 2018

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“…The observed association between nocturnal hallucinations and reduced basal ganglia volume was not surprising because nucleus accumbens and putamen are included in the limbic system and are responsible for psychiatric symptom production in PD [ 33 ] and schizophrenia [ 34 ]. Despite the lost significance after adjustment for bilateral putamen involvement, it can be suspected that putamen volume reduction can also be responsible for production of bad dreams These findings allow us to assume that if neurodegeneration starts in the nucleus accumbens then bad dreams turn into hallucinations, which are the hallmark of ongoing progression of cognitive decline [ 6 ].…”

Section: Discussionmentioning

confidence: 99%

Brain MRI morphometric analysis in Parkinson’s disease patients with sleep disturbances

et al. 2018

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BackgroundSleep disturbances are common in patients with advanced Parkinson disease (PD). The aim of this study was to evaluate a possible association of cortical thickness, cortical and subcortical volume with sleep disturbances in PD patients.MethodsTwenty-eight PD patients (14 men and 14 women, median age 58 years) were evaluated for sleep disturbances with PDSS and underwent brain MRI. Control group consisted of 28 healthy volunteers who were matched by age and gender. Automated voxel based image analysis was performed with the FreeSurfer software.ResultsPD patients when compared to controls had larger ventricles, smaller volumes of hippocampus and superior cerebellar peduncle, smaller grey matter thickness in the left fusiform, parahipocampal and precentral gyruses, and right caudal anterior cingulate, parahipocampal and precentral hemisphere gyruses, as well as smaller volume of left rostral middle frontal and frontal pole areas, and right entorhinal and transverse temporal areas. According to the Parkinson’s disease Sleep Scale (PDSS), 15 (53.58%) patients had severely disturbed sleep. The most frequent complaints were difficulties staying asleep during the night and nocturia. The least frequent sleep disturbances were distressing hallucinations and urine incontinence due to off symptoms. Patients who fidgeted during the night had thicker white matter in the left caudal middle frontal area and lesser global left hemisphere cortical surface, especially in the lateral orbitofrontal and lateral occipital area, and right hemisphere medial orbitofrontal area. Patients with frequent distressful dreams had white matter reduction in cingulate area, and cortical surface reduction in left paracentral area, inferior frontal gyrus and right postcentral and superior frontal areas. Nocturnal hallucinations were associated with volume reduction in the basal ganglia, nucleus accumbens and putamen bilaterally. Patients with disturbing nocturia had reduction of cortical surface on the left pre- and postcentral areas, total white matter volume decrease bilaterally as well in the pons.ConclusionsPD patients with nocturnal hallucinations had prominent basal ganglia volume reduction. Distressful dreams were associated with limbic system and frontal white matter changes, meanwhile nocturia was mostly associated with global white matter reduction and surface reduction of cortical surface on the left hemisphere pre- and postcentral areas.

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“…Each individual’s functional images were normalized using the symmetric echo-planar imaging templates and resampled at a resolution of 3 mm × 3 mm × 3 mm. The normalized functional images were smoothed spatially using a 6 mm full width at half maximum (FWHM) Gaussian kernel 23 . Finally, voxel-wise linear trend removal and temporal high-pass filtering (0.01 Hz < f < 0.08 Hz) were applied.…”

Section: Methods and Subjectsmentioning

confidence: 99%

“…To eliminate possible spurious connectivity, we used the Pearson correlation coefficient at r > 0.25 by thresholding each correlation at P ≤ 0.001 18 . Furthermore, standardized weighted DC maps were acquired by subtracting the mean value, and then dividing by the standard deviation within the whole gray matter mask 23 .…”

Section: Methods and Subjectsmentioning

confidence: 99%

“…Converging evidence indicates that DC is one of the main topological properties measured in graph theory analysis, and provides as an effective index. It has been widely used to identify changes in resting-state functional networks in mental illness, including depression 19 , schizophrenia 20 and autism. However, no literature is available on PSD research based on the DC method.…”

Section: Introductionmentioning

confidence: 99%

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A Study of the Brain Functional Network of Post-Stroke Depression in Three Different Lesion Locations

Shi

Liu

et al. 2017

Sci Rep

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Research on the mechanism of post stroke depression (PSD) is the key way to improve the treatment of PSD. However, the functional brain network of PSD has not been entirely supported by the results of functional magnetic resonance imaging (fMRI) studies. The aims of this study are to investigate the brain response of PSD in three different lesions. The brain responses of the three PSD subgroups were similar. However, each subgroup had its own characteristics of the brain network. In the temporal lobe subgroup, the right thalamus had increased degree centrality (DC) values which were different from the other two subgroups. In the frontal lobe subgroup, the left dorsolateral prefrontal cortex, caudate, and postcentral gyrus had increased DC values which were different from the other two subgroups. The hemodynamic response of PSD indicates that PSD has activities of similar emotional networks, of which the negative network realizes its function through the limbic system and default mode network. The brain network has unique characteristics for different lesion locations. The neurological function of the lesion location, the compensatory mechanism of the brain, and the mechanism of integrity and locality of the brain are the important factors in the individual emotional network.

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Abnormal Degree Centrality of Bilateral Putamen and Left Superior Frontal Gyrus in Schizophrenia with Auditory Hallucinations

Cited by 32 publications

References 41 publications

Correlations between exploratory eye movement, hallucination, and cortical gray matter volume in people with schizophrenia

Correlations between exploratory eye movement, hallucination, and cortical gray matter volume in people with schizophrenia

Brain MRI morphometric analysis in Parkinson’s disease patients with sleep disturbances

A Study of the Brain Functional Network of Post-Stroke Depression in Three Different Lesion Locations

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