Neuroprotective Effect of Modified Electroconvulsive Therapy for Schizophrenia: A Proton Magnetic Resonance Spectroscopy Study

Antipsychotics for schizophrenia spectrum disorders with catatonic symptoms

BACKGROUND

Whilst antipsychotics are the mainstay of treatment for schizophrenia spectrum disorders, there have been numerous attempts to identify biomarkers that can predict treatment response. One potential marker may be psychomotor abnormalities, including catatonic symptoms. Early studies suggested that catatonic symptoms predict poor treatment response, whilst anecdotal reports of rare adverse events have been invoked against antipsychotics. The efficacy and safety of antipsychotics in the treatment of this subtype of schizophrenia have rarely been studied in randomised controlled trials (RCTs).

OBJECTIVES

To compare the effects of any single antipsychotic medication with another antipsychotic or with other pharmacological agents, electroconvulsive therapy (ECT), other non-pharmacological neuromodulation therapies (e.g. transcranial magnetic stimulation), or placebo for treating positive, negative, and catatonic symptoms in people who have schizophrenia spectrum disorders with catatonic symptoms.

SEARCH METHODS

We searched the Cochrane Schizophrenia Group's Study-Based Register of Trials, which is based on CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, PubMed, ClinicalTrials.gov, the ISRCTN registry, and WHO ICTRP, on 19 September 2021. There were no language, date, document type, or publication status limitations for inclusion of records in the register. We also manually searched reference lists from the included studies, and contacted study authors when relevant.

SELECTION CRITERIA

All RCTs comparing any single antipsychotic medication with another antipsychotic or with other pharmacological agents, ECT, other non-pharmacological neuromodulation therapies, or placebo for people who have schizophrenia spectrum disorders with catatonic symptoms.

DATA COLLECTION AND ANALYSIS

two review authors independently inspected citations, selected studies, extracted data, and appraised study quality. For binary outcomes, we planned to calculate risk ratios and their 95% confidence intervals (CI) on an intention-to-treat basis. For continuous outcomes, we planned to calculate mean differences between groups and their 95% CI. We assessed risk of bias for the included studies, and created a summary of findings table; however, we did not assess the certainty of the evidence using the GRADE approach because there was no quantitative evidence in the included study.

MAIN RESULTS

Out of 53 identified reports, one RCT including 14 hospitalised adults with schizophrenia and catatonic symptoms met the inclusion criteria of the review. The study, which was conducted in India and lasted only three weeks, compared risperidone with ECT in people who did not respond to an initial lorazepam trial.   There were no usable data reported on the primary efficacy outcomes of clinically important changes in positive, negative, or catatonic symptoms. Whilst both study groups improved in catatonia scores on the Bush-Francis Catatonia Rating Scale (BFCRS), the ECT group showed significantly greater improvement at week 3 endpoint (mean +/- estimated standard deviation; 0.68 +/- 4.58; N = 8) than the risperidone group (6.04 +/- 4.58; N = 6; P = 0.035 of a two-way analysis of variance (ANOVA) for repeated measures originally conducted in the trial). Similarly, both groups improved on the Positive and Negative Syndrome Scale (PANSS) scores by week 3, but ECT showed significantly greater improvement in positive symptoms scores compared with risperidone (P = 0.04). However, data on BFCRS scores in the ECT group appeared to be skewed, and mean PANSS scores were not reported, thereby precluding further analyses of both BFCRS and PANSS data according to the protocol.  Although no cases of neuroleptic malignant syndrome were reported, extrapyramidal symptoms as a primary safety outcome were reported in three cases in the risperidone group. Conversely, headache (N = 6), memory loss (N = 4), and a prolonged seizure were reported in people receiving ECT. These adverse effects, which were assessed as specific for antipsychotics and ECT, respectively, were the only adverse effects reported in the study. However, the exact number of participants with adverse events was not clearly reported in both groups, precluding further analysis.  Our results were based only on a single study with a very small sample size, short duration of treatment, unclear or high risk of bias due to unclear randomisation methods, possible imbalance in baseline characteristics, skewed data, and selective reporting. Data on outcomes of general functioning, global state, quality of life, and service use, as well as data on specific phenomenology and duration of catatonic symptoms, were not reported.

AUTHORS' CONCLUSIONS

We found only one small, short-term trial suggesting that risperidone may improve catatonic and positive symptoms scale scores amongst people with schizophrenia spectrum disorders and catatonic symptoms, but that ECT may result in greater improvement in the first three weeks of treatment. Due to small sample size, methodological shortcomings and brief duration of the study, as well as risk of bias, the evidence from this review is of very low quality. We are uncertain if these are true effects, limiting any conclusions that can be drawn from the evidence. No cases of neuroleptic malignant syndrome were reported, but we cannot rule out the risk of this or other rare adverse events in larger population samples.  High-quality trials continue to be necessary to differentiate treatments for people with symptoms of catatonia in schizophrenia spectrum disorders. The lack of consensus on the psychopathology of catatonia remains a barrier to defining treatments for people with schizophrenia. Better understanding of the efficacy and safety of antipsychotics may clarify treatment for this unique subtype of schizophrenia.

Noninvasive neuromodulation of the prefrontal cortex in mental health disorders

More than any other brain region, the prefrontal cortex (PFC) gives rise to the singularity of human experience. It is therefore frequently implicated in the most distinctly human of all disorders, those of mental health. Noninvasive neuromodulation, including electroconvulsive therapy (ECT), repetitive transcranial magnetic stimulation (rTMS), and transcranial direct current stimulation (tDCS) among others, can-unlike pharmacotherapy-directly target the PFC and its neural circuits. Direct targeting enables significantly greater on-target therapeutic effects compared with off-target adverse effects. In contrast to invasive neuromodulation approaches, such as deep-brain stimulation (DBS), noninvasive neuromodulation can reversibly modulate neural activity from outside the scalp. This combination of direct targeting and reversibility enables noninvasive neuromodulation to iteratively change activity in the PFC and its neural circuits to reveal causal mechanisms of both disease processes and healthy function. When coupled with neuronavigation and neurophysiological readouts, noninvasive neuromodulation holds promise for personalizing PFC neuromodulation to relieve symptoms of mental health disorders by optimizing the function of the PFC and its neural circuits. ClinicalTrials.gov Identifier: NCT03191058.

Systematic Review of the Neural Effect of Electroconvulsive Therapy in Patients with Schizophrenia: Hippocampus and Insula as the Key Regions of Modulation

OBJECTIVE

Electroconvulsive therapy (ECT) has been the most potent treatment option for treatment-resistant schizophrenia (TRS). However, the underlying neural mechanisms of ECT in schizophrenia remain largely unclear. This paper examines studies that investigated structural and functional changes after ECT in patients with schizophrenia.

METHODS

We carried out a systematic review with following terms: 'ECT', 'schizophrenia', and the terms of various neuroimaging modalities.

RESULTS

Among the 325 records available from the initial search in May 2020, 17 studies were included. Cerebral blood flow in the frontal, temporal, and striatal structures was shown to be modulated (n=3), although the results were divergent. Magnetic resonance spectroscopy (MRS) studies suggested that the ratio of N-acetyl-aspartate/creatinine was increased in the left prefrontal cortex (PFC; n=2) and left thalamus (n=1). The hippocampus and insula (n=6, respectively) were the most common regions of structural/functional modulation, which also showed symptom associations. Functional connectivity of the default mode network (DMN; n=5), PFC (n=4), and thalamostriatal system (n=2) were also commonly modulated.

CONCLUSION

Despite proven effectiveness, there has been a dearth of studies investigating the neurobiological mechanisms underlying ECT. There is preliminary evidence of structural and functional modulation of the hippocampus and insula, functional changes in the DMN, PFC, and thalamostriatal system after ECT in patients with schizophrenia. We discuss the rationale and implications of these findings and the potential mechanism of action of ECT. More studies evaluating the mechanisms of ECT are needed, which could provide a unique window into what leads to treatment response in the otherwise refractory TRS population.

Electroconvulsive therapy is associated with lower readmission rates in patients with schizophrenia

BACKGROUND

Electroconvulsive therapy is an important somatic treatment for severe mental disorders with established efficacy and safety. However, data on the relationship between ECT and the readmission rate of patients with schizophrenia are scarce. This study will explore the association between the administration of ECT and readmission rates using a machine learning method.

METHODS

Inpatient medical records from the year of 2016 in one large psychiatric hospital in Beijing, China, were analyzed using a machine learning algorithm to determine the most important variables affecting readmission of patients with schizophrenia.

RESULTS

The medical records of 2131 inpatients with schizophrenia were reviewed. 1099 patients were followed up within 3 months of their index admission (642 ECT cases and 457 non-ECT cases) and 1032 patients were followed up within 6 months (596 ECT cases and 436 non-ECT cases) after discharge. The 3- and 6-month readmission rates in the ECT group (11.37% and 17.94%, respectively) were significantly lower than that of the patients who did not receive ECT (18.79% and 29.36%, respectively, both p < 0.001). The risk of readmission was significantly associated with male sex, older age, being married, having a lower income, a shorter inpatient length of stay, and receiving specific antipsychotic medications including olanzapine, paliperidone, clozapine, and haloperidol during the index admission. In the ECT group, patients who received 9 or more treatments were significantly less likely to be readmitted.

CONCLUSION

Receiving ECT may be associated with a lower risk of readmission in patients with schizophrenia.

Proton Magnetic Resonance Spectroscopy of N-acetyl Aspartate in Chronic Schizophrenia, First Episode of Psychosis and High-Risk of Psychosis: A Systematic Review and Meta-Analysis

N-acetyl-aspartate (NAA) is a readily measured marker of neuronal metabolism. Previous analyses in schizophrenia have shown NAA levels are low in frontal, temporal and thalamic regions, but may be underpowered to detect effects in other regions, in high-risk states and in first episode psychosis. We searched for magnetic resonance spectroscopy studies comparing NAA in chronic schizophrenia, first episode psychosis and high risk of psychosis to controls. 182 studies were included and meta-analysed using a random-effects model for each region and illness stage. NAA levels were significantly lower than controls in the frontal lobe [Hedge's g = -0.36, p < 0.001], hippocampus [-0.52, p < 0.001], temporal lobe [-0.35, p = 0.031], thalamus [-0.32, p = 0.012] and parietal lobe [-0.25, p = 0.028] in chronic schizophrenia, and lower than controls in the frontal lobe [-0.26, p = 0.002], anterior cingulate cortex [-0.24, p = 0.016] and thalamus [-0.28, p = 0.028] in first episode psychosis. NAA was lower in high-risk of psychosis in the hippocampus [-0.20, p = 0.049]. In schizophrenia, NAA alterations appear to begin in hippocampus, frontal cortex and thalamus, and extend later to many other regions.

Treatment effects on neurometabolite levels in schizophrenia: A systematic review and meta-analysis of proton magnetic resonance spectroscopy studies

BACKGROUND

Although there is growing evidence of alterations in the neurometabolite status associated with the pathophysiology of schizophrenia, how treatments influence these metabolite levels in patients with schizophrenia remains poorly studied.

METHODS

We conducted a literature search using Embase, Medline, and PsycINFO to identify proton magnetic resonance spectroscopy studies that compared neurometabolite levels before and after treatment in patients with schizophrenia. Six neurometabolites (glutamate, glutamine, glutamate + glutamine, gamma-aminobutyric acid, N-acetylaspartate, myo-inositol) and six regions of interest (frontal cortex, temporal cortex, parieto-occipital cortex, thalamus, basal ganglia, hippocampus) were investigated.

RESULTS

Thirty-two studies (n = 773 at follow-up) were included in our meta-analysis. Our results demonstrated that the frontal glutamate + glutamine level was significantly decreased (14 groups; n = 292 at follow-up; effect size = -0.35, P = 0.0003; I² = 22%) and the thalamic N-acetylaspartate level was significantly increased (7 groups; n = 184 at follow-up; effect size = 0.47, P < 0.00001; I² = 0%) after treatment in schizophrenia patients. No significant associations were found between neurometabolite changes and age, gender, duration of illness, duration of treatment, or baseline symptom severity.

CONCLUSIONS

The current results suggest that glutamatergic neurometabolite levels in the frontal cortex and neuronal integrity in the thalamus in schizophrenia might be modified following treatment.

Predicting responses to electroconvulsive therapy in schizophrenia patients undergoing antipsychotic treatment: Baseline functional connectivity among regions with strong electric field distributions

This study explored imaging predictors of electroconvulsive therapy (ECT) outcome in schizophrenia patients based on pre-treatment functional connectivity (FC) within regions with strong ECT electric fields distribution. Forty-seven patients received standard antipsychotic drugs combined with ECT as well as two brain imaging sessions. Regions of interest (ROI) with strong electric field distribution were determined by ECT simulation. Using baseline functional connectivity between ROIs, a model was constructed to predict the percentage reduction of Positive and Negative Syndrome Scale (PANSS) scores. The strong electric fields were distributed in the orbital prefrontal lobe, medial temporal lobe, and other parts of the temporal lobe. Ten functional connectivity features within the electric field distribution areas showed a predictive ability for ECT outcome. The correlation coefficient between the predictive and real values of cross-validation was 0.7165. Among the predictive features, ECT induced a significant decrease in functional connectivity between the right amygdala and the left hippocampus. These results suggest that pretreatment functional connectivity patterns in brain regions with strong electric field distributions during ECT could be potential predictors of the efficacy of ECT augmentation in schizophrenia. These findings may help to improve individualized clinical treatment in the future.

Altered functional connectivity of the thalamus induced by modified electroconvulsive therapy for schizophrenia

BACKGROUND

Electroconvulsive therapy (ECT) has been shown to be effective in schizophrenia (SZ), particularly in drug-refractory cases or when rapid symptom relief is needed. However, its precise mechanisms of action remain largely unclear. To clarify the mechanisms underlying modified electroconvulsive therapy (mECT) for SZ, we conducted a longitudinal cohort study evaluating functional connectivity of the thalamus before and after mECT treatment using sub-regions of thalamus as regions of interest (ROIs).

METHODS

Twenty-one SZ individuals taking only antipsychotics (DSZ group) for 4 weeks and 21 SZ patients receiving a regular course of mECT combining with antipsychotics (MSZ group) were observed in parallel. All patients underwent magnetic resonance imaging scans at baseline (t1) and follow-up (t2, ~4 weeks) time points. Data were compared to a matched healthy control group (HC group) consisting of 23 persons who were only scanned at baseline. Group differences in changes of thalamic functional connectivity between two SZ groups over time, as well as in functional connectivity among two SZ groups and HC group were assessed.

RESULTS

Significant interaction of group by time was found in functional connectivity of the right thalamus to right putamen during the course of about 4-week treatment. Post-hoc analysis showed a significantly enhanced functional connectivity of the right thalamus to right putamen in the MSZ group contrasting to the DSZ group. In addition, a decreased and an increased functional connectivity of the thalamus to sensory cortex were observed within the MSZ and DSZ group after 4-week treatment trial, respectively.

CONCLUSION

Our findings suggest that changes in functional connectivity of the thalamus may be associated with the brain mechanisms of mECT for schizophrenia.

Predicting response to electroconvulsive therapy combined with antipsychotics in schizophrenia using multi-parametric magnetic resonance imaging

Electroconvulsive therapy (ECT) has been shown to be effective in schizophrenia, particularly when rapid symptom reduction is needed or in cases of resistance to drug treatment. However, there are no markers available to predict response to ECT. Here, we examine whether multi-parametric magnetic resonance imaging (MRI)-based radiomic features can predict response to ECT for individual patients. A total of 57 treatment-resistant schizophrenia patients, or schizophrenia patients with an acute episode or suicide attempts were randomly divided into primary (42 patients) and test (15 patients) cohorts. We collected T1-weighted structural MRI and diffusion MRI for 57 patients before receiving ECT and extracted 600 radiomic features for feature selection and prediction. To predict a continuous improvement in symptoms (ΔPANSS), the prediction process was performed with a support vector regression model based on a leave-one-out cross-validation framework in primary cohort and was tested in test cohort. The multi-parametric MRI-based radiomic model, including four structural MRI feature from left inferior frontal gyrus, right insula, left middle temporal gyrus and right superior temporal gyrus respectively and six diffusion MRI features from tracts connecting frontal or temporal gyrus possessed a low root mean square error of 15.183 in primary cohort and 14.980 in test cohort. The Pearson's correlation coefficients between predicted and actual values were 0.671 and 0.777 respectively. These results demonstrate that multi-parametric MRI-based radiomic features may predict response to ECT for individual patients. Such features could serve as prognostic neuroimaging biomarkers that provide a critical step toward individualized treatment response prediction in schizophrenia.

Neuroanatomical Features That Predict Response to Electroconvulsive Therapy Combined With Antipsychotics in Schizophrenia: A Magnetic Resonance Imaging Study Using Radiomics Strategy

OBJECTIVE

Neuroimaging-based brain signatures may be informative in identifying patients with psychosis who will respond to antipsychotics. However, signatures that inform the electroconvulsive therapy (ECT) health care professional about the response likelihood remain unclear in psychosis with radiomics strategy. This study investigated whether brain structure-based signature in the prediction of ECT response in a sample of schizophrenia patients using radiomics approach.

METHODS

This high-resolution structural magnetic resonance imaging study included 57 patients at baseline. After ECT combined with antipsychotics, 28 and 29 patients were classified as responders and non-responders. Features of gray matter were extracted and compared. The logistic regression model/support vector machine (LRM/SVM) analysis was used to explore the predictive performance.

RESULTS

The regularized multivariate LRM accurately discriminated responders from non-responders, with an accuracy of 90.91%. The structural features were further confirmed in the validating data set, resulting in an accuracy of 87.59%. The accuracy of the SVM in the training set was 90.91%, and the accuracy in the validation set was 91.78%.

CONCLUSION

Our results support the possible use of structural brain feature-based radiomics as a potential tool for predicting ECT response in patients with schizophrenia undergoing antipsychotics, paving the way for utilization of markers in psychosis.

Electroconvulsive therapy for treatment-resistant schizophrenia

BACKGROUND

Electroconvulsive therapy (ECT) involves the induction of a seizure by the administration of an electrical stimulus via electrodes usually placed bilaterally on the scalp and was introduced as a treatment for schizophrenia in 1938. However, ECT is a controversial treatment with concerns about long-term side effects such a memory loss. Therefore, it is important to determine its clinical efficacy and safety for people with schizophrenia who are not responding to their treatment.

OBJECTIVES

Our primary objective was to assess the effects (benefits and harms) of ECT for people with treatment-resistant schizophrenia.Our secondary objectives were to determine whether ECT produces a differential response in people: who are treated with unilateral compared to bilateral ECT; who have had a long (more than 12 sessions) or a short course of ECT; who are given continuation or maintenance ECT; who are diagnosed with well-defined treatment-resistant schizophrenia as opposed to less rigorously defined treatment-resistant schizophrenia (who would be expected to have a greater affective component to their illness).

SEARCH METHODS

We searched the Cochrane Schizophrenia Group's Study-Based Register of Trials including clinical trial registries on 9 September 2015 and 4 August 2017. There were no limitations on language, date, document type, or publication status for the inclusion of records in the register. We also inspected references of all the included records to identify further relevant studies.

SELECTION CRITERIA

Randomised controlled trials investigating the effects of ECT in people with treatment-resistant schizophrenia.

DATA COLLECTION AND ANALYSIS

Two review authors independently extracted data. For binary outcomes, we calculated the risk ratio (RR) and its 95% confidence intervals (CIs), on an intention-to-treat basis. For continuous data, we estimated the mean difference (MD) between the groups and its 95% CIs. We employed the fixed-effect model for all analyses. We assessed risk of bias for the included studies and created 'Summary of findings' tables using the GRADE framework.

MAIN RESULTS

We included 15 studies involving 1285 participants (1264 completers with an average age of 18 to 46 years) with treatment-resistant schizophrenia. We rated most studies (14/15, 93.3%) as at high risk of bias due to issues related to the blinding of participants and personnel. Our main outcomes of interest were: (i) clinically important response to treatment; (ii) clinically important change in cognitive functioning; (iii) leaving the study early; (iv) clinically important change in general mental state; (v) clinically important change in general functioning; (vi) number hospitalised; and (vii) death. No trial reported data on death.The included trials reported useable data for four comparisons: ECT plus standard care compared with sham-ECT added to standard care; ECT plus standard care compared with antipsychotic added to standard care; ECT plus standard care compared with standard care; and ECT alone compared with antipsychotic alone.For the comparison ECT plus standard care versus sham-ECT plus standard care, only average endpoint BPRS (Brief Psychiatric Rating Scale) scores from one study were available for mental state; no clear difference between groups was observed (short term; MD 3.60, 95% CI -3.69 to 10.89; participants = 25; studies = 1; very low-quality evidence). One study reported data for service use, measured as number readmitted; there was a clear difference favouring the ECT group (short term; RR 0.29, 95% CI 0.10 to 0.85; participants = 25; studies = 1; low-quality evidence).When ECT plus standard care was compared with antipsychotics (clozapine) plus standard care, data from one study showed no clear difference for clinically important response to treatment (medium term; RR 1.23, 95% CI 0.95 to 1.58; participants = 162; studies = 1; low-quality evidence). Clinically important change in mental state data were not available, but average endpoint BPRS scores were reported. A positive effect for the ECT group was found (short-term BPRS; MD -5.20, 95% CI -7.93 to -2.47; participants = 162; studies = 1; very low-quality evidence).When ECT plus standard care was compared with standard care, more participants in the ECT group had a clinically important response (medium term; RR 2.06, 95% CI 1.75 to 2.42; participants = 819; studies = 9; moderate-quality evidence). Data on clinically important change in cognitive functioning were not available, but data for memory deterioration were reported. Results showed that adding ECT to standard care may increase the risk of memory deterioration (short term; RR 27.00, 95% CI 1.67 to 437.68; participants = 72; studies = 1; very low-quality evidence). There were no clear differences between groups in satisfaction and acceptability of treatment, measured as leaving the study early (medium term; RR 1.18, 95% CI 0.38 to 3.63; participants = 354; studies = 3; very low-quality evidence). Only average endpoint scale scores were available for mental state (BPRS) and general functioning (Global Assessment of Functioning). There were clear differences in scores, favouring ECT group for mental state (medium term; MD -11.18, 95% CI -12.61 to -9.76; participants = 345; studies = 2; low-quality evidence) and general functioning (medium term; MD 10.66, 95% CI 6.98 to 14.34; participants = 97; studies = 2; very low-quality evidence).For the comparison ECT alone versus antipsychotics (flupenthixol) alone, only average endpoint scale scores were available for mental state and general functioning. Mental state scores were similar between groups (medium-term BPRS; MD -0.93, 95% CI -6.95 to 5.09; participants = 30; studies = 1; very low-quality evidence); general functioning scores were also similar between groups (medium-term Global Assessment of Functioning; MD -0.66, 95% CI -3.60 to 2.28; participants = 30; studies = 1; very low-quality evidence).

AUTHORS' CONCLUSIONS

Moderate-quality evidence indicates that relative to standard care, ECT has a positive effect on medium-term clinical response for people with treatment-resistant schizophrenia. However, there is no clear and convincing advantage or disadvantage for adding ECT to standard care for other outcomes. The available evidence was also too weak to indicate whether adding ECT to standard care is superior or inferior to adding sham-ECT or other antipsychotics to standard care, and there was insufficient evidence to support or refute the use of ECT alone. More good-quality evidence is needed before firm conclusions can be made.

Direct medical costs for patients with schizophrenia: a 4-year cohort study from health insurance claims data in Guangzhou city, Southern China

BACKGROUND

Schizophrenia is one of the leading public health issues in psychiatry and imposes a heavy financial burden on the healthcare systems. This study aims to report the direct medical costs and the associated factors for patients with schizophrenia in Guangzhou city, Southern China.

METHODS

This was a retrospective 4-year cohort study. Data were obtained from urban health insurance claims databases of Guangzhou city, which contains patients' sociodemographic characteristics, direct medical costs of inpatient and outpatient care. The study cohort (including all the reimbursement claims submitted for schizophrenia inpatient care during November 2010 and October 2014) was identified using the International Classification of Diseases Tenth version (F20). Their outpatient care information was merged from outpatient claims database. Descriptive analysis and the multivariate regression analysis based on Generalized Estimating Equations model were conducted.

RESULTS

A total of 2971 patients were identified in the baseline. The cohort had a mean age of 50.3 years old, 60.6% were male, and 67.0% received medical treatment in the tertiary hospitals. The average annual length of stay was 254.7 days. The average annual total direct medical costs per patient was 41,972.4 Chinese Yuan (CNY) ($6852.5). The inpatient costs remained as the key component of total medical costs. The Urban Employee Basic Medical Insurance enrollees with schizophrenia had higher average costs for hospitalization (CNY42,375.1) than the Urban Resident Basic Medical Insurance enrollees (CNY40,917.3), and had higher reimbursement rate (85.8% and 61.5%). The non-medication treatment costs accounted for the biggest proportion of inpatient costs for both schemes (55.8% and 64.7%). Regression analysis suggested that insurance type, age, hospital levels, and length of stay were significantly associated with inpatient costs of schizophrenia.

CONCLUSIONS

The direct annual medical costs of schizophrenia were high and varied by types of insurance in urban China. The findings of this study provide vital information to understand the burden of schizophrenia in China. Results of this study can help decision-makers assess the financial impact of schizophrenia.

ECT-induced brain plasticity correlates with positive symptom improvement in schizophrenia by voxel-based morphometry analysis of grey matter

BACKGROUND

Electroconvulsive therapy (ECT) is often considered as an augmentation of antipsychotic treatment for schizophrenia in drug-refractory cases. However, the mechanisms underlying the observed therapeutic effects are still not understood.

OBJECTIVE

We aimed to investigate changes in whole brain grey matter volume (GMV) before and after modified ECT. GMV was determined using voxel-based morphometry (VBM) whole brain analysis. Correlations of brain structural changes with clinical improvement were also investigated.

METHODS

Twenty-one schizophrenia patients treated with a full course of ECT combined with antipsychotics (ECT group) and 21 schizophrenia patients treated only with antipsychotics (Drug group) were observed in parallel. Magnetic resonance imaging scans were performed at baseline (T1) and follow-up (T2) for each patient. Data were compared to a healthy control group (HC group) of 23 persons who were only scanned at baseline. Demographic data were matched between the three groups.

RESULTS

Significant interactions of group by time were found within four brain regions: the left parahippocampal gyrus/hippocampus, right parahippocampal gyrus/hippocampus, right temporal_pole_mid/superior temporal gyrus, and right insula. Post-hoc analysis revealed an increase of GMV across all four regions amongst ECT group, but a decrease of GMV within the Drug group. Furthermore, the ECT group showed a significant positive correlation of GMV change in the right parahippocampal gyrus/hippocampus with a reduction of positive subscore in the positive and negative syndrome scale. Both treatment groups did not differ significantly in terms of GMV from the HC group in these regions either at T1 or at T2.

CONCLUSION

Our findings indicate that ECT may induce brain plasticity as indexed by grey matter volume change during the treatment of schizophrenia via distinct mechanics from those by antipsychotic medications. ECT may ameliorate the positive psychotic symptoms of patients suffering from schizophrenia by preferentially targeting limbic brain areas such as the parahippocampal gyrus/hippocampus.

The impact of acute and short-term methamphetamine abstinence on brain metabolites: A proton magnetic resonance spectroscopy chemical shift imaging study

BACKGROUND

Abuse of methamphetamine (MA) is a global health concern. Previous ¹H-MRS studies have found that, with methamphetamine abstinence (MAA), there are changes in n-acetyl-aspartate (NAA/Cr), myo-inositol (mI/Cr), choline (Cho/Cr and Cho/NAA), and glutamate with glutamine (Glx) metabolites. Limited studies have investigated the effect of acute MAA, and acute-to-short-term MAA on brain metabolites.

METHODS

Adults with chronic MA dependence (n = 31) and healthy controls (n = 22) were recruited. Two-dimensional chemical shift ¹H-MRS imaging (TR2000 ms, TE30 ms) slice was performed and included voxels in bilateral anterior-cingulate (ACC), frontal-white-matter (FWM), and dorsolateral-prefrontal-cortices (DLPFC). Control participants were scanned once. The MA group was scanned twice, with acute (1.5 ± 0.6 weeks, n = 31) and short-term MAA (5.1 ± 0.8 weeks, n = 22). The change in ¹H-MRS metabolites over time (n = 19) was also investigated. Standard ¹H-MRS metabolites are reported relative to Cr + PCr.

RESULTS

Acute MAA showed lower n-acetyl-aspartate (NAA) and n-acetyl-aspartate with n-acetyl-aspartyl-glutamate (NAA + NAAG) in left DLPFC, and glycerophosphocholine with phosphocholine (GPC + PCh) in left FWM. Short-term MAA showed lower NAA + NAAG and higher myo-inositol (mI) in right ACC, lower NAA and NAA + NAAG in the left DLPFC, and lower GPC + PCh in left FWM. Over time, MAA showed decreased NAA and NAA + NAAG and increased mI in right ACC, decreased NAA and NAA + NAAG in right FWM, and decreased in mI in left FWM.

CONCLUSION

In acute MAA, there was damage to the integrity of neuronal tissue, which was enhanced with short-term MAA. From acute to short-term MAA, activation of neuroinflammatory processes are suggested. This is the first ¹H-MRS study to report the development of neuroinflammation with loss of neuronal integrity in MAA.