Objective To explore the role of the brief visuospatial memory test-revised(BVMT-R)in predicting the clinical conversion to psychosis in subjects with clinical high-risk for psychosis(CHR-P).Methods A total of 217 CHR subjects were recruited and assessed using BVMT-R at baseline.Participants were followed up for three years to determine whether they converted to psychosis.The relationship between BVMT-R total score and CHR-P conversion probability was analyzed using generalized additive model,and the cutoff values of BVMT-R total score for predicting CHR-P conversion were calculated by maximally selected rank statistics.Then,the total BVMT-R score was stratified into different intervals based on the cutoff values obtained as previously described.Finally,the positive likelihood ratios and the conversion rates at different time points were calculated for each interval.Results A total of 168 subjects with CHR-P completed the 3-year follow-up assessment.According to the results of the generalized additive model,the relationship between the BVMT-R total score and CHR-P conversion probability exhibited the characteristics of a piecewise function model.The cutoff values identified using the maximally selected rank statistics method were 18 and 29,which divided the BVMT-R total scores into three intervals:0-18,19-29,and 30-36.The positive likelihood ratios of the three intervals for predicting CHR-P psychosis conversion were significantly different(all P<0.01).All three intervals had significantly different rates of psychosis conversion at different follow-up time points(all P<0.01).Conclusion The total BVMT-R score can be divided into three intervals,each associated with a distinct positive likelihood ratio for predicting psychosis conversion in CHR-P individuals.Accordingly,the BVMT-R total score may serve as a preliminary indicator for estimating the probability of psychosis conversion in the CHR-P population.

Objective·To investigate the longitudinal changes in amygdala and hippocampal subfield volumes before and after transcranial magnetic stimulation(TMS)treatment in patients with major depressive disorder(MDD)and explore their correlation with the antidepressant and anxiolytic efficacy of TMS.Methods·A total of 58 patients diagnosed with MDD at Shanghai Mental Health Center,Shanghai Jiao Tong University School of Medicine,were included in this study between January 2018 and August 2023.Clinical depressive and anxiety symptoms were assessed by using the Hamilton Depression Scale(HAMD),Montgomery-Asberg Depression Rating Scale(MADRS),and Hamilton Anxiety Scale(HAMA)at baseline and post-TMS treatment.Patients underwent a baseline magnetic resonance imaging(MRI)scan followed by TMS treatment targeting the left dorsolateral prefrontal cortex(DLPFC)at a frequency of 10 Hz,totaling 20 sessions.A follow-up MRI scan was conducted on the same day the TMS treatment concluded.Amygdala and hippocampal subfield volumes were segmented and calculated by using FreeSurfer v6.0.0 software.Longitudinal changes in the subfield volumes were analyzed with two-way analysis of variance.Controlling for age,sex,and intracranial volume,partial correlation analysis was conducted between subfield volumes and baseline clinical scores.The association between the rate of volume change in brain regions with significant volume changes and symptom improvement(reduction in HAMD,MADRS,and HAMA scores)was evaluated.Results·Following TMS treatment,a significant increase in the volume of the right amygdala central nucleus was observed(t=-2.441,P=0.018).While the volumes of bilateral hippocampal fimbria decreased,the volumes of most hippocampal subfield and the total hippocampus increased(P<0.05).No significant correlations were found between baseline amygdala or hippocampal subfield volumes and clinical depressive and anxiety symptoms.However,only in patients who responded effectively to TMS treatment,a positive correlation was found between the volume change rate of the left hippocampal tail and reductions in anxiety symptoms(HAMA:r=0.334,P=0.044).Conclusion·High-frequency TMS targeting the left DLPFC may induce volume increases in the right amygdala central nucleus and specific hippocampal subfields.Additionally,the volume change rate of the left hippocampal tail is associated with anti-anxiety effects in TMS responders,suggesting that high-frequency TMS targeting the left DLPFC may induce neuroplastic changes in the central nucleus of the right amygdala and key subfields of the hippocampus.

Objective To explore the role of the brief visuospatial memory test-revised(BVMT-R)in predicting the clinical conversion to psychosis in subjects with clinical high-risk for psychosis(CHR-P).Methods A total of 217 CHR subjects were recruited and assessed using BVMT-R at baseline.Participants were followed up for three years to determine whether they converted to psychosis.The relationship between BVMT-R total score and CHR-P conversion probability was analyzed using generalized additive model,and the cutoff values of BVMT-R total score for predicting CHR-P conversion were calculated by maximally selected rank statistics.Then,the total BVMT-R score was stratified into different intervals based on the cutoff values obtained as previously described.Finally,the positive likelihood ratios and the conversion rates at different time points were calculated for each interval.Results A total of 168 subjects with CHR-P completed the 3-year follow-up assessment.According to the results of the generalized additive model,the relationship between the BVMT-R total score and CHR-P conversion probability exhibited the characteristics of a piecewise function model.The cutoff values identified using the maximally selected rank statistics method were 18 and 29,which divided the BVMT-R total scores into three intervals:0-18,19-29,and 30-36.The positive likelihood ratios of the three intervals for predicting CHR-P psychosis conversion were significantly different(all P<0.01).All three intervals had significantly different rates of psychosis conversion at different follow-up time points(all P<0.01).Conclusion The total BVMT-R score can be divided into three intervals,each associated with a distinct positive likelihood ratio for predicting psychosis conversion in CHR-P individuals.Accordingly,the BVMT-R total score may serve as a preliminary indicator for estimating the probability of psychosis conversion in the CHR-P population.

Objective·To investigate the longitudinal changes in amygdala and hippocampal subfield volumes before and after transcranial magnetic stimulation(TMS)treatment in patients with major depressive disorder(MDD)and explore their correlation with the antidepressant and anxiolytic efficacy of TMS.Methods·A total of 58 patients diagnosed with MDD at Shanghai Mental Health Center,Shanghai Jiao Tong University School of Medicine,were included in this study between January 2018 and August 2023.Clinical depressive and anxiety symptoms were assessed by using the Hamilton Depression Scale(HAMD),Montgomery-Asberg Depression Rating Scale(MADRS),and Hamilton Anxiety Scale(HAMA)at baseline and post-TMS treatment.Patients underwent a baseline magnetic resonance imaging(MRI)scan followed by TMS treatment targeting the left dorsolateral prefrontal cortex(DLPFC)at a frequency of 10 Hz,totaling 20 sessions.A follow-up MRI scan was conducted on the same day the TMS treatment concluded.Amygdala and hippocampal subfield volumes were segmented and calculated by using FreeSurfer v6.0.0 software.Longitudinal changes in the subfield volumes were analyzed with two-way analysis of variance.Controlling for age,sex,and intracranial volume,partial correlation analysis was conducted between subfield volumes and baseline clinical scores.The association between the rate of volume change in brain regions with significant volume changes and symptom improvement(reduction in HAMD,MADRS,and HAMA scores)was evaluated.Results·Following TMS treatment,a significant increase in the volume of the right amygdala central nucleus was observed(t=-2.441,P=0.018).While the volumes of bilateral hippocampal fimbria decreased,the volumes of most hippocampal subfield and the total hippocampus increased(P<0.05).No significant correlations were found between baseline amygdala or hippocampal subfield volumes and clinical depressive and anxiety symptoms.However,only in patients who responded effectively to TMS treatment,a positive correlation was found between the volume change rate of the left hippocampal tail and reductions in anxiety symptoms(HAMA:r=0.334,P=0.044).Conclusion·High-frequency TMS targeting the left DLPFC may induce volume increases in the right amygdala central nucleus and specific hippocampal subfields.Additionally,the volume change rate of the left hippocampal tail is associated with anti-anxiety effects in TMS responders,suggesting that high-frequency TMS targeting the left DLPFC may induce neuroplastic changes in the central nucleus of the right amygdala and key subfields of the hippocampus.

Dysfunction of the interoceptive system is recognized as an important component of clinical symptoms, including anxiety, depression, psychosis, and other mental disorders. Non-invasive neuromodulation is an emerging clinical intervention approach, and over the past decade, research on non-invasive neuromodulation aimed at regulating interoception has rapidly developed. This review first outlines the pathways of interoceptive signals and assessment methods, then summarizes the interoceptive abnormalities in psychiatric disorders and current studies for non-invasive neuromodulation targeting interoception, including intervention modes, target sites, interoceptive measures, and potential neurobiological mechanisms. Finally, we discuss significant research challenges and future directions.
Humans ; Interoception/physiology* ; Mental Disorders/therapy*

In general, bioassay-guided fractionation and isolation of bioactive constituents from botanical materials frequently ended up with the reward of a single compound. However, botanical materials typically exert their therapeutic actions through multi-pathway effects due to the intrinsic complex nature of chemical constituents. In addition, the content of bioactive compounds in botanical materials is largely dependent on humidity, temperature, soil, especially geographical origins, from which rapid and accurate identification of plant materials is pressingly needed. These long-standing obstacles collectively impede the deep exploitation and application of these versatile natural sources. To address the challenges, a new paradigm integrating biogravimetric analyses and machine learning-driven origin classification (BAMLOC) was developed. The biogravimetric analyses are based on absolute qHNMR quantification and in vivo zebrafish model-assisted activity index calculation, by which bioactive substance groups jointly responsible for the bioactivities in all fractions are pinpointed before any isolation effort. To differentiate origin-different botanical materials varying in the content of bioactive substance groups, principal component analysis, linear discriminant analysis, and hierarchical cluster analysis in conjunction with supervised support vector machine are employed to classify and predict production areas based on the detection of volatile organic compounds by E-nose and GC-MS. Expanding BAMLOC to Codonopsis Radix enables the identification of polyacetylenes and pyrrolidine alkaloids as the bioactive substance group for immune restoration effect and accurately determines the origins of plants. This study advances the toolbox for the discovery of bioactive compounds from complex mixtures and lays a more definitive foundation for the in-depth utilization of botanical materials.

Objective To explore the effect of 12-week simplified Tai Chi training on rehabilitation and neuromuscular control in individuals with chronic ankle instability(CAI).Methods Thirty-four partic-ipants with CAI were randomly divided into an experimental group and a control group,each of 17.The control group received 12-week health education,while the experimental group underwent simpli-fied Tai Chi training for the same length.Before and after the intervention,both groups were evaluat-ed their self-reported instability feeling,ankle muscle strength,proprioception and dynamic postural stability.Results After intervention,a significant increase was observed in the average Cumberland An-kle Instability Tool(CAIT),the maximum extension distance in the posteromedial and posterolateral di-rections of the modified Star Excursion Balance Test(mSEBT)in,as well as the ankle peak torque in plantarflexion,inversion and eversion(P<0.05)in the experimental.Moreover,the ankle passive motion proprioceptive threshold in plantarflexion and inversion decreased significantly in the experimental group after intervention(P<0.05).Meanwhile,after intervention,the average CAIT score,maximum ex-tension distances in the posteromedial and posterolateral directions in the mSEBT,and the ankle peak torques in plantarflexion,inversion and eversion of the experimental group were significantly higher than the control group(P<0.05),while the ankle passive motion proprioceptive threshold in plantarflex-ion was significantly lower than the latter(P<0.05).Conclusion Twelve-week simplified Tai Chi train-ing can improve the clinical subjective instability of CAI participants,maybe related to the improve-ment of ankle muscle strength,proprioception and dynamic postural stability.Therefore,it is suggest-ed that simplified Tai Chi should be one of the rehabilitation methods for CAI patients.

Attenuated psychotic symptoms and cognitive impairments characterize individuals at clinical high risk (CHR) for psychosis. Those who convert to schizophrenia during the follow-up often exhibit more severe cognitive impairments. Recently, task functional magnetic resonance imaging(fMRI) studies have provided imaging features for revealing the neurobiological basis of different cognitive function impairments, biomarkers for predicting conversion to psychosis, and potential targets for developing the early intervention. This review summarized the progress of fMRI studies focused on cognitive impairments, including the features of abnormal brain activities related to cognitive functions and clinical symptoms. The authors also looked at the possibility of predicting clinical conversion based on the fMRI features.

Attenuated psychotic symptoms and cognitive impairments characterize individuals at clinical high risk (CHR) for psychosis. Those who convert to schizophrenia during the follow-up often exhibit more severe cognitive impairments. Recently, task functional magnetic resonance imaging(fMRI) studies have provided imaging features for revealing the neurobiological basis of different cognitive function impairments, biomarkers for predicting conversion to psychosis, and potential targets for developing the early intervention. This review summarized the progress of fMRI studies focused on cognitive impairments, including the features of abnormal brain activities related to cognitive functions and clinical symptoms. The authors also looked at the possibility of predicting clinical conversion based on the fMRI features.

Social motivation deficits are the main manifestation of negative symptoms in schizophrenia. In this review, characteristics of social motivation in schizophrenia based on different motivational components were summarized. There were social motivation deficits in schizophrenia including various deficits of reward learning, the experience of pleasure and effort-based decision making; these motivation deficits were associated with structural and functional abnormalities of some brain regions which may link with social interaction network, such as the cingulate cortex, dorsolateral prefrontal cortex, striatum and so on. New task paradigms and multi techniques could be considered in the research of their social motivation in the future to better understand the neural mechanism behind, and develop clinical interventions for the negative symptoms in schizophrenia.