Literature DB >> 29733409

Neural Correlates of Auditory Verbal Hallucinations in Schizophrenia and the Therapeutic Response to Theta-Burst Transcranial Magnetic Stimulation.

Xingui Chen1,2,3, Gong-Jun Ji4, Chunyan Zhu2,3,4, Xiaomeng Bai4, Lu Wang1, Kongliang He5, Yaxiang Gao2, Longxiang Tao6, Fengqiong Yu2,3,4, Yanghua Tian1,2,3,4, Kai Wang1,2,3,4.   

Abstract

Auditory verbal hallucinations (AVHs) are a core symptom of schizophrenia, and resistant to antipsychotic medication in a substantial proportion of patients. This study aimed to investigate the neural correlates of AVHs in schizophrenia patients and its response to a modified continuous theta-burst stimulation (cTBS) by transcranial magnetic stimulation. In a cross-sectional experiment, resting-state functional magnetic resonance images were collected from 31 AVH schizophrenia patients, 26 non-AVH schizophrenia patients, and 33 sex-/age-matched healthy controls (HCs). Functional connectivity strength (FCS) maps were compared among groups by 1-way analysis of variance (ANOVA). In a longitudinal experiment, 16 and 11 AVH patients received real and sham cTBS treatment for 15 days, respectively. Notably, this was not a randomized control trail. Changes in AVH and FCS were analyzed by 2-way ANOVA and 2-sample t-test, respectively. In the cross-sectional experiment, comparison of FCS maps identified 8 clusters among groups, but only one cluster (in left cerebellum) differed significantly in AVH patients compared to both HCs and non-AVH patients. In the longitudinal experiment, the real cTBS group showed a greater improvement in symptoms and a larger FCS decrease in left cerebellum than the sham group. Pearson's correlation analysis indicated that baseline FCS of the overlapping cerebellum cluster (between the cross-sectional and longitudinal findings) was negatively correlated with symptom improvement in the real treatment group. These findings emphasize the role of the left cerebellum in both the pathophysiology and clinical treatment of AVHs in schizophrenia patients.
© The Author(s) 2018. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center.

Entities:  

Keywords:  auditory verbal hallucinations; cerebellum; functional connectivity strength; longitudinal; schizophrenia

Mesh:

Year:  2019        PMID: 29733409      PMCID: PMC6403092          DOI: 10.1093/schbul/sby054

Source DB:  PubMed          Journal:  Schizophr Bull        ISSN: 0586-7614            Impact factor:   9.306


Introduction

Auditory verbal hallucinations (AVHs) are a characteristic symptom of schizophrenia, affecting approximately 60%−80% of patients.[1] Although most patients are responsive to antipsychotic pharmacotherapy, a substantial number (~25%) are treatment-resistant and continue to experience AVHs. Thus, alternative therapies are urgently needed to reduce the severity and frequency of AVHs experienced by these patients. AVH refers to the experience of perceiving speech in the absence of corresponding external stimuli.[2] Despite numerous studies using a variety of approaches,[3-6] the exact mechanisms by which AVHs arise spontaneously from intrinsic brain activity remains unclear. To address this issue, recent studies have examined the spontaneous functional connectivity in schizophrenia patients with AVH using resting-state functional magnetic resonance imaging (rs-fMRI).[5,7] Such studies have given rise to the “resting state hypothesis of AVH,” which posits that anomalies in intrinsic brain connectivity and ensuing activity generate AVHs.[8] Indeed, compared to schizophrenia patients without AVH (non-AVH), AVH patients exhibited distinct intrinsic cortico-subcortical connectivity patterns[9-11] and interhemispheric circuits.[12-14] Particular attention has been paid to functional connectivity with the left temporo-parietal junction (TPJ),[13,15,16] because the TPJ may be an effective repetitive transcranial magnetic stimulation (rTMS) target for AVH patients.[17-19] Local activity and global network properties have also been investigated by amplitude of low-frequency fluctuations[20] and graph theory.[21] To exclude potential confounding variables (ie, variations in medication history and severity of symptoms), the neural correlates of AVH have also been examined by comparing nonpsychotic individuals with and without AVH.[22-24] Such rs-fMRI studies yielded useful information to enhance an understanding of the neurobiological mechanisms underlying AVH. However, most of them were cross-sectional[6,25,26] and rarely associated with novel therapies, such as rTMS. rTMS is a well-established, noninvasive technique that induces long-lasting changes in excitatory and inhibitory activity (aftereffects) of the target network depending on the frequency and temporal pattern of stimulation. It has been applied for the treatment of many neurological and psychiatric disorders.[27] Hoffman and colleagues[28,29] reported the possible efficacy of inhibitory rTMS on AVH in schizophrenia patients, and its frequency protocol (1-Hz rTMS over the left TPJ) was adopted in most subsequent studies. However, the clinical efficacy of this protocol was not consistently supported.[30-33] In most of these studies, the TPJ was defined according to the international 10/20 system of electroencephalography electrode placement. Given the anatomical variability of the human brain, this coarse localization method may prove less accurate and efficient than image-based navigation approaches.[18,34,35] Several studies have also tested continuous theta-burst stimulation (cTBS) for AVH treatment,[36-38] since this paradigm exhibited more powerful inhibitory aftereffects than 1-Hz rTMS in the motor system.[39] However, a randomized trial found that the efficacy of cTBS was not significantly higher than placebo treatment.[33] This negative finding may be attributable to the stimulation parameters, which would be improved in the current study by using a longer stimulation regimen, precise target localization, and an optimized inter-session interval (ISI = 30 min).[40] This study compared the resting-state brain function of AVH schizophrenia patients, non-AVH schizophrenia patients, and healthy controls (HCs) to provide a context for a longitudinal rTMS experiment. The researchers hypothesized that a modified cTBS protocol, compared to sham rTMS, may significantly alleviate AVH symptoms by remodeling the abnormal brain function observed in the cross-sectional experiment.

Materials and Methods

This study is composed of cross-sectional and longitudinal experiments. All participants provided written informed consent before experiments. The cross-sectional experiment investigated the neural correlates of AVH by comparing FCS maps among AVH, non-AVH, and HC participants. The longitudinal experiment tested the clinical efficacy of a modified rTMS protocol and its underlying neural mechanism by rs-fMRI. Finally, a spatial overlap map was produced, utilizing the fMRI findings of both experiments, to evaluate the rTMS mechanism in terms of baseline abnormality (figure 1). Notably, the longitudinal rTMS experiment was not a randomized control trail, although both real and sham treatment were performed in this part.
Fig. 1.

Experiment design and analytic strategy. Sixteen of 31 AVH patients in the cross-sectional study received real rTMS treatment. After rTMS treatment, 11 AVH patients were recruited to represent a control group in the longitudinal study. Notably, their imaging data were acquired using different scanners (albeit the same brand) than the other groups. The “overlap” represents a spatial overlap map of significant clusters from cross-sectional and longitudinal studies.

Experiment design and analytic strategy. Sixteen of 31 AVH patients in the cross-sectional study received real rTMS treatment. After rTMS treatment, 11 AVH patients were recruited to represent a control group in the longitudinal study. Notably, their imaging data were acquired using different scanners (albeit the same brand) than the other groups. The “overlap” represents a spatial overlap map of significant clusters from cross-sectional and longitudinal studies.

Participants

A total of 57 patients diagnosed with refractory schizophrenia at the Anhui Mental Health Center (Hefei, China) were consecutively enrolled in this study (supplementary tables E1–E3). The study protocol was reviewed and approved by the Medical Ethics Committee of Anhui Medical University, Hefei, China. All participants satisfied the following inclusion criteria: (1) diagnosis of schizophrenia using the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (SCID-IV), (2) were taking stable doses of psychotropic medication for at least 8 weeks before the study, and (3) verbal intelligence quotient >85 as measured utilizing a Chinese version of the National Adult Reading Test. Exclusion criteria were as follows: (1) history of significant head trauma or neurological disorders, (2) alcohol or drug abuse, (3) focal brain lesions on T1- or T2-weighted fluid-attenuated inversion-recovery magnetic resonance images, (4) recent aggression or other forms of behavioral dysfunction, (5) head motion exceeding 3 mm in translation or 3° in rotation during rs-fMRI scanning, or (6) Hamilton Anxiety Rating Scale or Hamilton Depression Rating Scale score >7. Patients were further classified into 2 groups: those reporting AVHs of spoken speech at least 5 times per day during the preceding 8 weeks (AVH group, n = 31) and patients who had not experienced AVHs (or olfactory, gustatory, tactile hallucination) since the diagnosis of schizophrenia or within 5 years before scans (non-AVH group, n = 26). The most commonly positive syndromes of the non-AVH group were delusional disorder (n = 15), impulsion (n = 10), and restlessness (n = 8). All AVH patients were refractory, which may be defined as the experience of persistent daily hallucinations without remission despite antipsychotic medication administered at an adequate dosage for at least 12 weeks. With regard to AVH patients participating in the longitudinal rTMS study, additional exclusion criteria included (1) age <18 years, (2) non-removable metal objects in or around head, or (3) prior history of seizure or history in first degree relatives. Finally, 16 AVH patients provided their consent for real rTMS treatment. After the end of the rTMS treatment experiment, the researchers realized that a sham–control would be necessary to exclude the placebo effect of rTMS. According to the primary results of real stimulation (see Results), a sample of 7 participants proved large enough to identify the treatment effect (alpha = 0.05, beta = 0.8). Fortunately, an interim inspection of another ongoing study (Randomized Clinical Trail [RCT] number: NCT02863094) allowed the researchers to collect data from 11 refractory AVH patients (meeting the inclusion and exclusion criteria of this study) who had received sham rTMS. Thus, their data were utilized in the sham–control group in the current study. Thirty-three HCs with no history of neurological or psychiatric illnesses were randomly recruited from the local community. This group exhibited no gross abnormalities on brain MR images.

MRI Data Acquisition

Magnetic resonance images were acquired from 2 scanners of the same type (3.0T, Discovery GE750w, General Electric). One scanner was used for the sham treatment group, and the other for the real treatment group and cross-sectional experiment. Details were outlined in supplementary materials.

Neuro-navigated rTMS

The AVH patients made 17 study-related visits to the hospital. On the first and last visits, the researchers acquired MRI data and assessed neuropsychological conditions and clinical symptoms. From the 2nd to 16th day, participants received 3 daily sessions of cTBS treatment delivered using a MagStim Rapid[2] stimulator (Magstim Company Ltd.) with a 70-mm air-cooled figure-of-eight coil. One session of cTBS was 40 seconds in duration and consisted of 3-pulse bursts at 50 Hz repeated every 200 milliseconds (5 Hz) until a total of 600 pulses was reached.[39] To achieve cumulative aftereffects, this protocol was repeated 3 times and (1800 pulses in total) separated by two 15-minute breaks (controlled by a stopwatch) in line with previous methodological studies.[40,41] The researchers delivered cTBS at 80% of the resting motor threshold (RMT)[38] or the highest intensity the stimulator could deliver for this protocol (50% of maximum output). The RMT was determined at each visit according to a 5-step procedure.[42] The stimulation target, the left TPJ, was defined as a sphere of 6-mm radius centered at Montreal Neurological Institute (MNI) coordinates [−51, −31, 23].[13,16] This target was transformed into each participant’s T1 space by applying an inverse matrix produced during T1 segmentation in SPM (www.fil.ion.ucl.ac.uk/spm) and TMStarget software.[43] Then, each individual’s target was imported into a frameless neuronavigation system (Visor 2.0, Advanced Neuro Technologies). The coil was held tangentially to the skull pointing forward, with the center over the target sphere. Patients in the sham control group received the same rTMS protocol and treatment duration as the real rTMS group. The only difference was the usage of a sham coil (Magstim Company Ltd.) that produced a similar feeling on the participant’s scalp as the real coil but did not induce a current in the cortex.

Clinical Symptom and Neuropsychological Assessments

Clinical symptoms of all patients were graded according to the Positive and Negative Syndrome Scale (PANSS). In addition, all patients and HCs were evaluated using standardized neuropsychological tests (supplementary tables E1 and E2). For AVH patients participating in the rTMS study, the primary outcome was the Auditory Hallucination Rating Scale (AHRS), which would be administered with other measures on the 1st and 17th visits.

MRI Data Processing

Functional image processing was carried out using the DPARSF (http://rfmri.org)[44] and SPM (www.fil.ion.ucl.ac.uk/spm) toolkits. The preprocessing included (1) deleting the first 5 volumes; (2) slice timing and realignment; (3) co-registering T1 to functional images; (4) normalizing T1 to the MNI space and segmenting it into gray matter, white matter, and cerebrospinal fluid (spatial resolution: 3 × 3 × 3); (5) smoothing images with a 4-mm isotropic Gaussian kernel; (6) filtering temporal bandpass (0.01–0.1 Hz), and regressing out 15 nuisance signals (global mean, white matter, cerebrospinal fluid signals, and 24 head-motion parameters.[45] Subsequently, Pearson’s correlations were conducted between the time series of all pairs of voxels to construct a whole-brain matrix for each participant. Finally, functional connectivity strength (FCS) defined as the sum of the coefficients between a given voxel and all other voxels, was then standardized by dividing by the average whole-brain FCS value. To eliminate voxels with weak correlations attributable to signal noise, the analysis was restricted to positive correlations (r > .25, P < .001).[46,47]

Statistical Analysis

For the cross-sectional study, demographic characteristics, neuropsychological scores, and imaging features were compared between the 3 groups by one-way analysis of variance (ANOVA). Notably, outliers in neuropsychological scores were identified before ANOVA by nonlinear regression analyses in GraphPad Prism.[48] The Bonferroni or Tamhane’s test was used for pair-wise post hoc comparisons. Clinical characteristics were compared between patient groups using 2-sample t-tests. In the longitudinal study, the change in clinical symptom was analyzed by 2-way (group by time) ANOVA. Since the MRI data of real and sham groups were acquired using different scanners, comparisons of pre- or post-treatment data between the groups largely reflect the systematic error of scanners rather than brain functional changes. However, the pre- to post-treatment alteration is comparable, since the scanner effect could be well controlled by the within center subtraction (post- minus pre-state). Thus, the FCS changes following treatment were compared between groups by 2-sample t-test. All voxel-based imaging analyses were corrected by Gaussian Random Field (GRF) theory (cluster-defined threshold, P < .05, cluster-level corrected P < .05).

Complementary Experiments

First, target-to-whole brain functional connectivity was used as a secondary measure. Second, longitudinal data of 2 HC groups from 2 scanning sites were utilized to clarify whether the MRI findings for the TMS effect were influenced by scanner. Third, we re-computed the FCS for correlations >0 to test the robustness of the findings. Fourth, all image-based statistical analyses were corrected for multiple comparisons using Threshold-Free Cluster Enhancement in FSL software (corrected P < .05).[49] See details of these experiments in supplementary materials.

Results

Demographic, Clinical, and Neuropsychological Assessments at Baseline

There were no differences in age, education, and sex ratio among the 3 groups (supplementary table E1). Four neuropsychological tests (digit span [backward], Stroop word test, trail making B, and recognition) showed significant group differences, and post hoc analyses indicated that both patient groups showed decreased performance on the Stroop word test and trail making B test compared to HCs; digit span [backward] was abnormal in non-AVH but not AVH patients (supplementary table E1). The AVH patients had higher PANSS positive scores than the non-AVH patients (supplementary table E1). There were no significant differences in baseline estimations between AVH patients in the real and sham cTBS groups (supplementary table E2). Medication information of patients in TMS group (n = 27) was listed in supplementary table E3.

FCS at Baseline

One-way ANOVA indicated significant differences in FCS among AVH (figure 2A), non-AVH (figure 2B), and HC (figure 2C) groups in the bilateral cuneus, left central sulcus, left inferior temporal gyrus (ITG), bilateral cerebellum, left supramarginal gyrus (SMG), bilateral thalamus, and right medial prefrontal cortex (MPFC, supplementary table E4; figure 2D, corrected P < .05). Post hoc analyses on these clusters are summarized in supplementary table E4 and figure 2D. No significant difference was found in frame-wise head motion[50] among the 3 groups (F = 1.21, P = .30).
Fig. 2.

One-way analysis of variance of functional connectivity strength (FCS) maps in the cross-sectional experiment. Mean maps of FCS are illustrated for schizophrenia patients with auditory verbal hallucinations (AVHs) (A), non-AVH patients (B), and healthy controls (C). Significant clusters were found in 8 brain areas (D). Post hoc findings are illustrated by bar graphs (E; error bars indicate SEM; **P < .01, ***P < .001). L, left; ITG, inferior temporal gyrus; MPFC, medial prefrontal gyrus; R, right; SMG, supramarginal gyrus.

One-way analysis of variance of functional connectivity strength (FCS) maps in the cross-sectional experiment. Mean maps of FCS are illustrated for schizophrenia patients with auditory verbal hallucinations (AVHs) (A), non-AVH patients (B), and healthy controls (C). Significant clusters were found in 8 brain areas (D). Post hoc findings are illustrated by bar graphs (E; error bars indicate SEM; **P < .01, ***P < .001). L, left; ITG, inferior temporal gyrus; MPFC, medial prefrontal gyrus; R, right; SMG, supramarginal gyrus.

rTMS Improved Clinical Symptoms But Not Cognitive Function

According to a recent double-blind randomized trial,[33] this study defined rTMS responders as participants who showed ≥25% decrease in AHRS. Six of 16 participants in the real group, and 3 of 11 patients in the sham group were deemed responders. Fisher’s exact test did not reveal a significant difference in the responder/nonresponder ratio between groups (P = .69). However, the ratio for the real group was higher (P = .05; figures 3A and 3B) than that found in a previous rTMS study (4 responders in 37 subjects).[33] Two-way repeated ANOVA indicated a significant group × time interaction effect for clinical symptoms but not for cognitive functions (supplementary table E2; figures 3C and 3D). Specifically, the AHRS (t = −5.66, P <.0001), negative PANSS (t = −3.75, P = .002), positive PANSS (t = −5.25, P < .0001), and total PANSS (t = −6.17, P < .0001) scores (figures 3C and 3D) significantly decreased following real treatment. Negative PANSS consisted of 3 dimensions (emotion, behavior, and thought), and behavior factor was the most responsive one to the treatment (paired t = 3.93, P = .001, supplementary table E5). Compared to the sham group, the real group showed lower scores in AHRS (t = −2.13, P = .04), negative PANSS (t = −2.48, P = .02), and total PANSS (t = −3.30, P = .003), but similar positive PANSS (t = 0, P > .99, figures 3C and 3D) at the end of treatment.
Fig. 3.

Clinical efficacy of 15-days’ repetitive transcranial magnetic stimulation (rTMS) treatment on the left temporal parietal junction (A). Bar graph (B) indicates a higher responder/nonresponder ratio in the current study than in Koops et al.[33] The symptom improvements after real and sham treatment are illustrated at both the individual (C) and group (D) level. Notably, there is no outlier in the symptom measures. Error bars indicate SEM. *P < .05, **P < .01, ****P < .0001.

Clinical efficacy of 15-days’ repetitive transcranial magnetic stimulation (rTMS) treatment on the left temporal parietal junction (A). Bar graph (B) indicates a higher responder/nonresponder ratio in the current study than in Koops et al.[33] The symptom improvements after real and sham treatment are illustrated at both the individual (C) and group (D) level. Notably, there is no outlier in the symptom measures. Error bars indicate SEM. *P < .05, **P < .01, ****P < .0001.

rTMS Modified Functional Connectivity

The frame-wise head motion before and after treatment[50] did not differ in either the real rTMS (t = 0.90, P = .39) or sham (t = 0.51, P = .62) group. Although the image datasets from the real and sham cTBS groups were obtained from 2 scanners, the alterations after rTMS were comparable between groups (see Complementary Experiments for the demonstration). Paired t-tests (post- vs pre-TMS) were first performed for both groups (voxel P < .05, voxel number > 10; unthresholded map in figures 4A and 4B). Voxels surviving in either group constituted a mask for comparing the functional alterations between groups by 2-sample t-tests. Compared to the sham group, the real group showed increased FCS in the bilateral inferior occipital gyrus (IOG) and right post-central gyrus, and decreased FCS in the left MPFC and left cerebellum (supplementary table E6, figure 4C; corrected P < .05). Notably, significant alterations of the left cerebellum were found in the real cTBS group (t = −3.1, P = .008) but not in the sham group (t = 1.8, P = .1) (supplementary table E6, figure 4C).
Fig. 4.

Functional connectivity strength (FCS) maps in the longitudinal experiment. FCS alterations after real (A) and sham (B) rTMS treatment are illustrated by unthresholded t maps. Regions showing different alterations between real and sham groups were identified by 2-sample t-test (C), and the bar graphs indicate functional alterations of these regions within both groups. Error bars indicate SEM. *P < .05, **P < .01, ***P < .001. Cereb., cerebellum; L, left; IOG, inferior occipital gyrus; MPFC, medial prefrontal gyrus; R, right; post-CG, post-central gyrus.

Functional connectivity strength (FCS) maps in the longitudinal experiment. FCS alterations after real (A) and sham (B) rTMS treatment are illustrated by unthresholded t maps. Regions showing different alterations between real and sham groups were identified by 2-sample t-test (C), and the bar graphs indicate functional alterations of these regions within both groups. Error bars indicate SEM. *P < .05, **P < .01, ***P < .001. Cereb., cerebellum; L, left; IOG, inferior occipital gyrus; MPFC, medial prefrontal gyrus; R, right; post-CG, post-central gyrus.

Spatial Overlap and Correlation With Symptom Improvement

The baseline binary result map (figure 2D) overlapped with that of the longitudinal experiment (figure 4C) at the left cerebellum (figure 5A). The FCS value of the overlapping cluster was extracted from HC, non-AVH patients, and 16 AVH patients before and after real cTBS treatment. One-way ANOVA (F2,72 = 0.74, P = .0003) and post hoc analyses indicated that the left cerebellum cluster showed higher FCS in AVH patients before treatment than either non-AVH patients (t = 2.89, P = .006) or HCs (t = 4.66, P < .0001; figure 5B). Following rTMS treatment, FCS in the left cerebellum significantly decreased (t = 3.44, P = .004; figure 5B).
Fig. 5.

Analysis of the cerebellum cluster identified by both cross-sectional and longitudinal experiments. The overlap area (A) showed significantly higher FCS in AVH patients than non-AVH patients and HCs at baseline, and significantly decreased FCS after real rTMS treatment (B). The pretreatment FCS value in the overlap area negatively correlated with symptom improvement in both AHRS and PANSS total scores (C). The FCS decrease in the overlap area after real treatment positively correlated with an improvement in total PANSS scores but not in AHRS (C).

Analysis of the cerebellum cluster identified by both cross-sectional and longitudinal experiments. The overlap area (A) showed significantly higher FCS in AVH patients than non-AVH patients and HCs at baseline, and significantly decreased FCS after real rTMS treatment (B). The pretreatment FCS value in the overlap area negatively correlated with symptom improvement in both AHRS and PANSS total scores (C). The FCS decrease in the overlap area after real treatment positively correlated with an improvement in total PANSS scores but not in AHRS (C). Since clinical symptoms were not significantly improved in the sham group (supplementary table E2, figure 3), the researchers performed a correlation analysis only for the real group. The average FCS value in the overlapping cerebellum cluster at baseline showed a negative correlation with both AHRS (r = −0.58, P = .02) and total PANSS improvement (r = −.73, P = .001), but not negative (r = −.27, P = .07) or positive (r = −.43, P = .10) PANSS changes (post- minus pre-rTMS, negative change indicating improvement; figure 5C). The FCS change in the overlapping cluster showed a positive correlation with the total PANSS improvement (r = .57, P = .03), but not with AHRS (r = .29, P = .27), negative PANSS changes (r = .19, P = .48), or positive PANSS changes (r = .38, P = .14) (figure 5C). All the 4 experiments confirmed the important role of left cerebellum in schizophrenia as the main text. See details in the supplementary table E7 and supplementary figures E1–E7.

Discussion

From a functional connectivity perspective, this study revealed the neuronal correlates of AVH in schizophrenia by a cross-sectional experiment involving patients exhibiting AVHs, patients without AVHs, and matched HCs. Among the clusters identified in the baseline ANOVA, only the cluster in the left cerebellum differed significantly in AVH patients vs the other groups. Importantly, FCS within this cluster was modulated by real rTMS treatment but not the sham condition, and the baseline value was negatively correlated with clinical symptom improvement. The cerebellum is connected to the cerebral cortex via a cortico-cerebellar-thalamic-cortical circuit. Its involvement in AVH has been demonstrated by meta-analyses of functional activation experiments,[51,52] though inconsistencies were also found.[53,54] Dynamic fMRI analysis further indicated the activation of the left cerebellum prior to the occurrence of AVHs, suggesting a “trigger” role of the cerebellum.[55,56] At a cellular level, the crucial role of the cerebellum in schizophrenia has been systemically reviewed.[57] Cerebellar Purkinje cells discriminate specific input conditions, such as variation in patterns of auditory input, through synaptoplastic processes including long-term potentiation and depression. In schizophrenia patients, the cerebellum fails to perform these error detection functions. As a result, input information from the auditory cortex without an external stimulus may be misinterpreted as “external” rather than internal, leading to the experience of AVHs.[9,57] Decreased FCS within the cerebellum following treatment may reflect an attempt to rebalance inhibitory and excitatory transmission, which may result in an appropriate perception of inner speech.[4] Both AVH and non-AVH patients showed similar alterations in the right cerebellum, right MPFC, and left ITG compared to HCs, which may underlie common symptoms of schizophrenia. On the other hand, non-AVH patients showed abnormalities in the bilateral cuneus, bilateral thalamus, left central sulcus, and left SMG compared to both AVH patients and HCs, which may be related to the unique symptoms of non-AVH patients. However, none of these clusters survived the fourth validation analysis. As such, their biological meaning should be interpreted with care. The researchers found significant symptom improvement after cTBS treatment, and the responder/nonresponder ratio was higher than in Koops et al.[33] This improved outcome may be due to optimized stimulation parameters, such as ISI, longer treatment and more sessions/day.[40,41] Psychological factor may also contribute to this difference, since patients in our real group knew they would received real treatment, while patients in Koops et al[33] did not know their group allocation. Our findings suggest that the left cerebellum constitutes an important neural correlate for this clinical improvement. The left cerebellum has directly structural connectivity with the right rather than left cortices, such as the stimulation target. Thus, future rTMS studies stimulating the right TPJ may produce stronger aftereffect in both neuroimaging and clinical efficacy. Moreover, the negative correlation between symptom improvement and the pretreatment FCS value in the left cerebellum suggests that the baseline FCS may be used to screen patients sensitive to rTMS treatment. Analyses of neuropsychological tests indicated that both patient groups showed decreased performance on the Stroop word and trail making B test compared to HCs; a deficit was found in the digit span [backward] of non-AVH patients. These findings derived from neuropsychological tests were in line with previous studies that reported cognitive deficits in schizophrenia patients.[58-60] Importantly, no cognitive difference was found between non-AVH and AVH groups. This finding suggests that extraneous factors were well-balanced between groups. Although rTMS could modulate cognitive function and neural circuitry,[43,61] no cognitive improvement or deterioration was found in this study after treatment. This finding may be attributed to the fact that the current cTBS parameters, especially with regard to the target, were specifically designed for AVH alleviation rather than any particular cognitive function improvement. Although the findings are encouraging, 3 limitations should be mentioned. First, the rTMS experiment was not a randomized control trial. The sham group was recruited after the real group, and their instructions were slightly different. The real rTMS group was told that they would receive a novel treatment through magnetic stimulation, but its clinical efficacy was still in controversial. The sham group was part of a real RCT experiment, and the patients were instructed that they would be assigned to the real or sham group randomly. Thus, both real and sham group in this study would not have extremely high or no expectation on the treatment. Additionally, the sham stimulation was performed by a placebo coil, which induced quite similar sensory on scalp as the real one, but actually no induced current within the brain. Thus, the patients hardly knew whether they were receiving real or sham stimulation. For both group, the clinical syndrome was estimated by an experimenter blinded to the group allocation of patients. In all, the real and sham group had similar expectation before treatment and experienced similar stimulation procedures. To further exclude the effect of the design flaws on our findings, we strongly suggest a real RCT investigation. Second, the real and sham groups were not acquired by the same scanner, which was not an ideal design. For cross-sectional comparison, the results may be affected by the systematic error between scanners. But for comparison of longitudinal alteration, as our complementary experiment indicated, no significant scanner effect was found in the left cerebellum area. Third, this study did not control for the possible confounding effects of AVHs during rs-fMRI data acquisition. A similar problem exists for rs-fMRI studies on epilepsy, though a previous study demonstrated that internal events do not exert substantial effects on brain function.[62] This rs-fMRI study revealed abnormally high FCS of the left cerebellum in schizophrenia patients with AVH. This abnormality as well as the AVH symptom could be significantly decreased through the administration of a modified cTBS treatment. Furthermore, the improvement in AVHs after rTMS treatment may be predicted by baseline FCS in the left cerebellum. In summary, these findings emphasize the role of the left cerebellum in both the pathophysiology and clinical treatment of AVH in schizophrenia patients. Click here for additional data file.
  62 in total

Review 1.  Neuroimaging auditory hallucinations in schizophrenia: from neuroanatomy to neurochemistry and beyond.

Authors:  Paul Allen; Gemma Modinos; Daniela Hubl; Gregory Shields; Arnaud Cachia; Renaud Jardri; Pierre Thomas; Todd Woodward; Paul Shotbolt; Marion Plaze; Ralph Hoffman
Journal:  Schizophr Bull       Date:  2012-04-25       Impact factor: 9.306

2.  Decreased Network Efficiency in Benign Epilepsy with Centrotemporal Spikes.

Authors:  Gong-Jun Ji; Yang Yu; Huan-Huan Miao; Zhong-Jin Wang; Ye-Lei Tang; Wei Liao
Journal:  Radiology       Date:  2016-09-15       Impact factor: 11.105

3.  Treatment of auditory hallucinations with bilateral theta burst stimulation: a randomized controlled pilot trial.

Authors:  Christian Plewnia; Bastian Zwissler; Barbara Wasserka; Andreas J Fallgatter; Stefan Klingberg
Journal:  Brain Stimul       Date:  2014-01-08       Impact factor: 8.955

4.  Aberrations in the arcuate fasciculus are associated with auditory verbal hallucinations in psychotic and in non-psychotic individuals.

Authors:  Antoin D de Weijer; Sebastiaan F W Neggers; Kelly M S Diederen; René C W Mandl; René S Kahn; Hilleke E Hulshoff Pol; Iris E Sommer
Journal:  Hum Brain Mapp       Date:  2011-11-23       Impact factor: 5.038

Review 5.  How can the brain's resting state activity generate hallucinations? A 'resting state hypothesis' of auditory verbal hallucinations.

Authors:  Georg Northoff; Pengmin Qin
Journal:  Schizophr Res       Date:  2010-12-13       Impact factor: 4.939

6.  Time course of regional brain activity accompanying auditory verbal hallucinations in schizophrenia.

Authors:  Ralph E Hoffman; Brian Pittman; R Todd Constable; Zubin Bhagwagar; Michelle Hampson
Journal:  Br J Psychiatry       Date:  2011-04       Impact factor: 9.319

7.  Resting-state functional connectivity of the nucleus accumbens in auditory and visual hallucinations in schizophrenia.

Authors:  Benjamin Rolland; Ali Amad; Emmanuel Poulet; Régis Bordet; Alexandre Vignaud; Rémy Bation; Christine Delmaire; Pierre Thomas; Olivier Cottencin; Renaud Jardri
Journal:  Schizophr Bull       Date:  2014-07-21       Impact factor: 9.306

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

Authors:  M Gavrilescu; S Rossell; G W Stuart; T L Shea; H Innes-Brown; K Henshall; C McKay; A A Sergejew; D Copolov; G F Egan
Journal:  Psychol Med       Date:  2009-11-06       Impact factor: 7.723

9.  Auditory hallucinations in schizophrenia are associated with reduced functional connectivity of the temporo-parietal area.

Authors:  Ans Vercammen; Henderikus Knegtering; Johann A den Boer; Edith J Liemburg; André Aleman
Journal:  Biol Psychiatry       Date:  2010-01-08       Impact factor: 13.382

10.  Dose-dependent effects of theta burst rTMS on cortical excitability and resting-state connectivity of the human motor system.

Authors:  Charlotte Nettekoven; Lukas J Volz; Martha Kutscha; Eva-Maria Pool; Anne K Rehme; Simon B Eickhoff; Gereon R Fink; Christian Grefkes
Journal:  J Neurosci       Date:  2014-05-14       Impact factor: 6.167

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  19 in total

1.  Preservation Effect: Cigarette Smoking Acts on the Dynamic of Influences Among Unifying Neuropsychiatric Triple Networks in Schizophrenia.

Authors:  Wei Liao; Yun-Shuang Fan; Siqi Yang; Jiao Li; Xujun Duan; Qian Cui; Huafu Chen
Journal:  Schizophr Bull       Date:  2019-10-24       Impact factor: 9.306

2.  Single Session Transcranial Magnetic Stimulation Ameliorates Hand Gesture Deficits in Schizophrenia.

Authors:  Sebastian Walther; Maribel Kunz; Manuela Müller; Caroline Zürcher; Irena Vladimirova; Hanta Bachofner; Konstantin A Scherer; Niluja Nadesalingam; Katharina Stegmayer; Stephan Bohlhalter; Petra V Viher
Journal:  Schizophr Bull       Date:  2020-02-26       Impact factor: 9.306

3.  Brain functional specialization and cooperation in Parkinson's disease.

Authors:  Jinmei Sun; Xiaoran Gao; Qiang Hua; Rongrong Du; Pingping Liu; Tingting Liu; Jinying Yang; Bensheng Qiu; Gong-Jun Ji; Panpan Hu; Kai Wang
Journal:  Brain Imaging Behav       Date:  2021-08-24       Impact factor: 3.978

4.  Reduced Hippocampal Volume and Its Relationship With Verbal Memory and Negative Symptoms in Treatment-Naive First-Episode Adolescent-Onset Schizophrenia.

Authors:  Xujun Duan; Changchun He; Jianjun Ou; Runshi Wang; Jinming Xiao; Lei Li; Renrong Wu; Yan Zhang; Jingping Zhao; Huafu Chen
Journal:  Schizophr Bull       Date:  2021-01-23       Impact factor: 9.306

5.  Reduction in gray matter of cerebellum in schizophrenia and its influence on static and dynamic connectivity.

Authors:  Hui He; Cheng Luo; Yuling Luo; Mingjun Duan; Qizhong Yi; Bharat B Biswal; Dezhong Yao
Journal:  Hum Brain Mapp       Date:  2018-09-21       Impact factor: 5.038

Review 6.  Repetitive Transcranial Magnetic Stimulation as a Therapeutic and Probe in Schizophrenia: Examining the Role of Neuroimaging and Future Directions.

Authors:  Stephen J Brandt; Halimah Y Oral; Carla Arellano-Bravo; Martin H Plawecki; Tom A Hummer; Michael M Francis
Journal:  Neurotherapeutics       Date:  2021-04-12       Impact factor: 7.620

7.  A common variant of the NOTCH4 gene modulates functional connectivity of the occipital cortex and its relationship with schizotypal traits.

Authors:  Xiaohui Xie; Meidan Zu; Long Zhang; Tongjian Bai; Ling Wei; Wanling Huang; Gong-Jun Ji; Bensheng Qiu; Panpan Hu; Yanghua Tian; Kai Wang
Journal:  BMC Psychiatry       Date:  2020-07-09       Impact factor: 3.630

8.  Pre-supplementary motor network connectivity and clinical outcome of magnetic stimulation in obsessive-compulsive disorder.

Authors:  Gong-Jun Ji; Wen Xie; Tingting Yang; Qianqian Wu; Pengjiao Sui; Tongjian Bai; Lu Chen; Lu Chen; Xingui Chen; Yi Dong; Anzhen Wang; Dandan Li; Jinying Yang; Bensheng Qiu; Fengqiong Yu; Lei Zhang; Yudan Luo; Kai Wang; Chunyan Zhu
Journal:  Hum Brain Mapp       Date:  2021-05-29       Impact factor: 5.038

9.  Decreased Connection Between Reward Systems and Paralimbic Cortex in Depressive Patients.

Authors:  Tongjian Bai; Meidan Zu; Yang Chen; Wen Xie; Chunlan Cai; Qiang Wei; Gong-Jun Ji; Yanghua Tian; Kai Wang
Journal:  Front Neurosci       Date:  2018-07-09       Impact factor: 4.677

10.  Function-structure coupling: White matter functional magnetic resonance imaging hyper-activation associates with structural integrity reductions in schizophrenia.

Authors:  Yuchao Jiang; Mingjun Duan; Xiangkui Li; Huan Huang; Guocheng Zhao; Xuan Li; Shicai Li; Xufeng Song; Hui He; Dezhong Yao; Cheng Luo
Journal:  Hum Brain Mapp       Date:  2021-06-10       Impact factor: 5.038

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