Although previous studies have revealed that depression can lead to changes in language use patterns, no study has yet explored this influence and the corresponding intervention effects of expressive writing (EW) in Chinese adolescents with depressive tendencies (DT). Therefore, this study explored the differences in language use patterns between DT and healthy adolescents, and the intervention effects of EW on adolescents’ depression levels and language use patterns. Results showed that DT adolescents had higher total word count, more usage of pronouns, negative emotion words, physical words and adverbs, as well as less usage of prepositions and postpositions compared to healthy adolescents. In addition, both positive experience writing (PEW) and stressful experience writing (SEW) can reduce depression levels, perceived stress levels, total word count, and the usage of pronouns and negative emotion words, and their intervention effects had no significant difference. These results provide new indications for promoting adolescents’ mental health in the perspective of language use patterns.

Emotions and contexts play a fundamental role in shaping reward-based decision-making, yet the processes and mechanisms through which they influence decision strategies remain unclear. In this study, we employed two modified versions of the Iowa Gambling Task (IGT) to investigate how emotional cues (Experiment 1) and emotional feedback (Experiment 2) modulate decision-making by altering perceptions of reward outcomes across different contexts. Happy and fearful facial expressions were used as emotional stimuli, paired with positive and negative reward outcomes in congruent contexts, and reversed in incongruent contexts. We hypothesized that emotional stimuli would modulate attention and outcome evaluation, which also rely on contextual congruency, thereby guiding decision strategies distinctively. To test this, we analyzed trial-by-trial decision dynamics behaviorally and recorded neural activity using EEG. Behavioral results showed that both emotional valence (happy vs. fearful) and reward utility (gain vs. loss) significantly impacted decision strategies. Notably, emotional sensitivity was attenuated in incongruent contexts, while reward sensitivity remained unchanged. EEG data revealed that neural markers, including P2, FRN, and P300, encoded both emotional valence and reward utility, particularly in congruent contexts. In incongruent contexts, FRN and P300 amplitudes decreased in response to emotional stimuli but remained unchanged for reward sensitivity. In contrast, P2 amplitude was reduced for both emotional and reward sensitivity when emotional faces were presented as cues, but not when presented as feedback. These findings highlight the critical role of context in selectively shaping both behavioral and neural responses to emotion and reward.

Humans can perceive their relative position to the goal according to distal landmark cues (DLCs), which are cues situated in the distance and beyond the navigation scope. Specifically, familiar DLCs can facilitate the accuracy of spatial representations in human navigation. It is still unclear how human brain infers the distance and direction deviation to the goal through familiar DLCs. To address this question, we invited 26 young healthy adults to learn the locations of eight objects in a virtual reality arena with DLCs. We used two metrics: Euclidean distance (ED) for measuring distance and minimal angle (MA) for measuring direction. We then tested their direction and distance memory in the previous arena with familiar DLCs during fMRI scanning and in a different arena with unfamiliar DLCs. We performed a moderation analysis, which showed that the DLCs' familiarity moderated the influence of the ED to the goals (EDg) on end point location error evaluated by the ED (EDe). A univariate analysis on the task-fMRI data showed that the right SMA was related to the modulation of DLCs' familiarity on the relationship between EDg and EDe. Multivariate analyses on the fMRI data showed that the parahippocampal gyrus and retrosplenial cortex represented EDg in the direction memory retrieval, whereas thalamus and OFC represented both EDg and MA deviation from the goal (MA(g)) in the distance memory retrieval. These results provide insights into the neural mechanisms for the enhancement of DLCs in encoding relative position from the goal in spatial navigation.

Childhood maltreatment represents a strong psychological stressor that may lead to the development of later psychopathology as well as a heightened risk of health and social problems. Despite a surge of interest in examining behavioral, neurocognitive, and brain connectivity profiles sculpted by such early adversity over the past decades, little is known about the neurobiological substrates underpinning childhood maltreatment. Here, we aim to detect the effects of childhood maltreatment on whole-brain resting-state functional connectivity (RSFC) in a cohort of healthy adults and to explore whether such RSFC profiles can be used to predict the severity of childhood trauma in subjects based on a data-driven connectome-based predictive modeling (CPM). Resting-state functional MRI (rs-fMRI) data were acquired from 97 healthy adults, each of whom was assessed for childhood maltreatment levels using the Childhood Trauma Questionnaire-Short Form (CTQ-SF). CPM was used to examine the association between whole-brain RSFC and childhood maltreatment levels. The results showed that CPM was able to decode individual childhood maltreatment levels from RSFC across multiple neural systems including RSFC between and within limbic and prefrontal systems as well as their connectivity with other networks. Key nodes contributing to the prediction model included the amygdala, prefrontal, and anterior cingulate regions that have been linked to childhood maltreatment. These results remained robust using different validation procedures. Our findings revealed that RSFC among multiple neural systems can be used to predict childhood maltreatment levels in individuals.

BACKGROUND:Deficient neural activities during emotion regulation have been reported in depression. We sought to conduct a meta-analysis to provide a comprehensive description of these neural alterations during use of emotion regulation strategies among patients with depression, including major depressive disorder (MDD) and bipolar disorder (BD). METHODS:We identified neuroimaging studies of abnormal neural activities during emotion regulation in depression. We extracted the peak coordinates and effect sizes of differences in brain activity between patients and healthy controls. Using seed-based d mapping, we conducted voxel-wise meta-analyses of the neural activation pattern differences between the 2 groups across conditions involving emotion regulation and those where emotion regulation was not needed. RESULTS:We included 33 studies reporting 34 data sets, including 23 involving MDD (571 people with MDD and 578 matched controls) and 11 involving BD (358 people with BD and 369 matched controls). Overall, compared with controls, patients with depression showed hyperactivity in the insula and postcentral gyrus, and hypoactivity in the prefrontal part of the inferior, middle, and superior frontal gyrus, the middle temporal gyrus, and the supplementary motor area. In subgroup analyses, data from patients with MDD and studies focused on decreasing negative emotions or using the emotional strategy of reappraisal reported specific hypoactivity in the middle cerebellar peduncles. LIMITATIONS:Given limited studies involving patients with BD, we were unable to detect the common and distinct abnormalities in neural activation between MDD and BD. We did not conduct any meta-regression analyses because of limited information. CONCLUSION:In this meta-analysis, we identified hyperactivity in brain regions associated with emotional experience and hypoactivity in brain regions associated with cognitive control during emotion regulation among patients with depression, relative to healthy controls. These findings could help indicate a target for future interventions aimed at increasing emotion regulation capacity for patients with depression.

BackgroundResearchers have endeavored to ascertain the network dysfunction associated with behavioral addiction (BA) through the utilization of resting-state functional connectivity (rsFC). Nevertheless, the identification of aberrant patterns within large-scale networks pertaining to BA has proven to be challenging.MethodsWhole-brain seed-based rsFC studies comparing subjects with BA and healthy controls (HC) were collected from multiple databases. Multilevel kernel density analysis was employed to ascertain brain networks in which BA was linked to hyper-connectivity or hypo-connectivity with each prior network.ResultsFifty-six seed-based rsFC publications (1755 individuals with BA and 1828 HC) were included in the meta-analysis. The present study indicate that individuals with BAs exhibit (1) hypo-connectivity within the fronto-parietal network (FN) and hypo- and hyper-connectivity within the ventral attention network (VAN); (2) hypo-connectivity between the FN and regions of the VAN, hypo-connectivity between the VAN and regions of the FN and default mode network (DMN), hyper-connectivity between the DMN and regions of the FN; (3) hypo-connectivity between the reward system and regions of the sensorimotor network (SS), DMN and VAN; (4) hypo-connectivity between the FN and regions of the SS, hyper-connectivity between the VAN and regions of the SS.ConclusionsThese findings provide impetus for a conceptual framework positing a model of BA characterized by disconnected functional coordination among large-scale networks.

Objective Although previous studies have validated the effect of childhood trauma on depressive level, few studies have utilized the diathesis -stress theory to investigate the specific roles of perceived stress and rumination in the pathway between childhood trauma and depression in Chinese college students. This study aims to demonstrate the mediation effect of perceived stress and the moderation effect of rumination in the pathway between childhood trauma and depressive level in Chinese college students. Methods A total of 995 Chinese college students in Guangzhou were included in this study by recruitment advertisement from October to December 2021. And they were asked to finish four self -report questionnaires, including Childhood Trauma Questionnaire -Short Form, Perceived Stress Scale, the 22 -item Ruminative Response Scale, and Beck Depression Scale -II. Then the data were analyzed with Mplus 8.3. Results Results revealed significant correlations among childhood trauma, perceived stress, rumination and depressive level. Further analyses revealed that perceived stress played a mediation role between childhood trauma and depressive level (estimate=0.09, standard error [SE]=0.02, t=5.93, 95% confidence interval [CI]=0.06-0.12), and rumination played a moderation role between childhood trauma and perceived stress (estimate= -0.17, SE=0.06, t=-2.86, 95% CI= -0.28- -0.05]) as well as between childhood trauma and depressive level (estimate=0.10, SE=0.04, t=2.74, 95% CI=0.03-0.16). Conclusion These results revealed the mediation effect of perceived stress and the moderation effect of rumination in the pathway between childhood trauma and depressive level in Chinese college students, which helped us to understand how the childhood trauma influenced the depressive level and gave us multi -dimensional indications for reducing the effect of childhood trauma on depressive level.

An increasing number of publications have focused on using the brain network perspective to study bilingual learning and cognition. However, no study analyzed the effect of second-language age of acquisition (L2 AoA) on topological properties (e.g. rich club organization) of brain white matter (WM) structural networks. In this study, we acquired diffusion tensor imaging (DTI) datasets from early and late Cantonese (L1)-Mandarin (L2) bilinguals, then constructed brain WM structural networks, and subsequently analyzed their topological properties. As compared with the late bilinguals, significantly higher global efficiency and local efficiency but lower characteristic path length were observed in the early bilinguals. In addition, the early bilinguals showed significantly higher nodal efficiency in the right rolandic operculum and gyrus rectus, as well as higher rich club coefficient and feeder connections than the late bilinguals. Taken together, these results indicated that information exchange and integration are more efficient in the early bilinguals, which provided the structural evidence for understanding the effect of L2 AoA on brain structural plasticity in bilingual learning.

Abstract Background: Childhood trauma is one of major risk factors to depression, and the incidence of depression among college students has been increasing. Previous studies have validated the effect of childhood trauma on depressive level. But few studies based on the Diathesis-stress theory to investigate the role of perceived stress in the pathway between childhood trauma and depressive level, as well as considering the role of rumination. Methods: We recruited 995 non-clinical Chinese college students and ask them to finish four self-report questionnaires, including Childhood Trauma Questionnaire-Short Form (CTQ-SF), Perceived Stress Scale (PSS), the 22-item Ruminative Responses Scale (RSS-22), and Beck Depression Scale-II (BDI-II). Then we conducted the multiple mediation analyses and multiple linear regression analyses. Results: Results revealed that perceived stress played a mediation role between childhood trauma and depressive level, and rumination played a moderation role between childhood trauma and perceived stress and between childhood trauma and depressive level. Limitations: This is a cross-sectional study and based on subjective reports of measures. Conclusions: These findings provided multi-dimensional indications for reducing the effect of childhood trauma on depressive level in college students, which would help them to improve their mental health.

BACKGROUND:Schizophrenia and bipolar disorder have been linked to alterations in the functional activity and grey matter volume of some brain areas, reflected in impaired regional homogeneity and aberrant voxel-based morphometry. However, because of variable findings and methods used across studies, identifying patterns of brain alteration in schizophrenia and bipolar disorder has been difficult.METHODS:We conducted a meta-analysis of differences in regional homogeneity and voxel-based morphometry between patients and healthy controls for schizophrenia and bipolar disorder separately, using seed-based d mapping.RESULTS:We included 45 publications on regional homogeneity (26 in schizophrenia and 19 in bipolar disorder) and 190 publications on voxel-based morphometry (120 in schizophrenia and 70 in bipolar disorder). Patients with schizophrenia showed increased regional homogeneity in the frontal cortex and striatum and the supplementary motor area; they showed decreased regional homogeneity in the insula, primary sensory cortex (visual and auditory cortices) and sensorimotor cortex. Patients with bipolar disorder showed increased regional homogeneity in the frontal cortex and striatum; they showed decreased regional homogeneity in the insula. Patients with schizophrenia showed decreased grey matter volume in the superior temporal gyrus, inferior frontal gyrus, cingulate cortex and cerebellum. Patients with bipolar disorder showed decreased grey matter volume in the insula, cingulate cortex, frontal cortex and thalamus. Overlap analysis showed that patients with schizophrenia displayed decreased regional homogeneity and grey matter volume in the left insula and left superior temporal gyrus; patients with bipolar disorder displayed decreased regional homogeneity and grey matter volume in the left insula.LIMITATIONS:The small sample size for our subgroup analysis (unmedicated versus medicated patients and substantial heterogeneity in the results for some regions could limit the interpretability and generalizability of the results.CONCLUSION:Patients with schizophrenia and bipolar disorder shared a common pattern of regional functional and structural alterations in the insula and frontal cortex. Patients with schizophrenia showed more widespread functional and structural impairment, most prominently in the primary sensory motor areas.

Anorexia nervosa (AN) is a complex psychiatric disorder with poorly understood etiology. Numerous voxel-based morphometry (VBM) and resting-state functional imaging studies have provided strong evidence of abnormal brain structure and intrinsic and functional activities in AN, but with inconsistent conclusions. Herein, a whole-brain meta-analysis was conducted on VBM (660 patients with AN, and 740 controls) and resting-state functional imaging (425 patients with AN, and 461 controls) studies that measured differences in the gray matter volume (GMV) and intrinsic functional activity between patients with AN and healthy controls (HCs). Overall, patients with AN displayed decreased GMV in the bilateral median cingulate cortex (extending to the bilateral anterior and posterior cingulate cortex), and left middle occipital gyrus (extending to the left inferior parietal lobe). In resting-state functional imaging studies, patients with AN displayed decreased resting-state functional activity in the bilateral anterior cingulate cortex and bilateral median cingulate cortex, and increased resting-state functional activity in the right parahippocampal gyrus. This multimodal meta-analysis identified reductions of gray matter and functional activity in the anterior and median cingulate in patients with AN, which contributes to further understanding of the pathophysiology of AN.

BACKGROUND:Disturbances in gain and loss processing have been extensively reported in adults with addiction, a brain disorder characterized by obsession with addictive substances or behaviours. Previous studies have provided conflicting results with respect to neural abnormalities in gain processing in addiction, and few investigations into loss processing.METHODS:We conducted voxel-wise meta-analyses of abnormal task-evoked regional activities in adults with substance dependence and gambling addiction during the processing of gains and losses not related to their addiction (mainly monetary). We identified 24 studies, including 465 participants with substance dependence, 81 with gambling addiction and 490 healthy controls.RESULTS:Compared with healthy controls, all participants with addictions showed hypoactivations in the prefrontal cortex, striatum and insula and hyperactivations in the default mode network during gain anticipation; hyperactivations in the prefrontal cortex and both hyper- and hypoactivations in the striatum during loss anticipation; and hyperactivations in the occipital lobe during gain outcome. In the substance dependence subgroup, activity in the occipital lobe was increased during gain anticipation but decreased during loss anticipation.LIMITATIONS:We were unable to conduct meta-analyses in the gambling addiction subgroup because of a limited data set. We did not investigate the effects of clinical variables because of limited information.CONCLUSION:The current study identified altered brain activity associated with higher- and lower-level function during gain and loss processing for non-addiction (mainly monetary) stimuli in adults with substance dependence and gambling addiction. Adults with addiction were more sensitive to anticipatory gains than losses at higher- and lower-level brain areas. These results may help us to better understand the pathology of gain and loss processing in addiction.

BACKGROUND:Previous literature has extensively investigated the brain activity during response inhibition in adults with addiction. Inconsistent results including both hyper- and hypo-activities in the fronto-parietal network (FPN) and the ventral attention network (VAN) have been found in adults with addictions, compared with healthy controls (HCs).METHODS:Voxel-wise meta-analyses of abnormal task-evoked regional activity were conducted for adults with substance dependence (SD) and behavioral addiction during response inhibition tasks to solve previous inconsistencies. Twenty-three functional magnetic resonance imaging studies including 479 substance users, 38 individuals with behavioral addiction and 494 HCs were identified.RESULTS:Compared with HCs, all addictions showed hypo-activities in regions within FPN (inferior frontal gyrus and supramarginal gyrus) and VAN (inferior frontal gyrus, middle temporal gyrus, temporal pole and insula), and hyper-activities in the cerebellum during response inhibition. SD subgroup showed almost the same activity patterns, with an additional hypoactivation of the precentral gyrus, compared with HCs. Stronger activation of the cerebellum was associated with longer addiction duration for adults with SD. We could not conduct meta-analytic investigations into the behavioral addiction subgroup due to the small number of datasets.CONCLUSION:This meta-analysis revealed altered activation of FPN, VAN and the cerebellum in adults with addiction during response inhibition tasks using non-addiction-related stimuli. Although FPN and VAN showed lower activity, the cerebellum exhibited stronger activity. These results may help to understand the neural pathology of response inhibition in addiction.

Aim: The age of acquisition of second language (AoA-L2) affects the neural representation of the first language (L1) and L2. Although previous task-fMRI studies showed different activation patterns of language networks in early and late bilinguals, little is known about the effect of AoA-L2 on L1 and L2 resting-state fMRI (rs-fMRI) networks in bilinguals. In this study, we attempted to reveal the differences in resting-state functional connectivity (RSFC) and topological properties of L1 and L2 networks related to AoA-L2 in bilinguals. Design: We pooled 10 early bilinguals and 11 late bilinguals with high proficiency level in L2 (PL-L2) and acquired their brain rs-fMRI data. By taking the brain regions obtained from a previous meta-analysis study as the seeds, we constructed L1 and L2 networks, and then estimated the RSFC and topological properties of L1 and L2 networks. Findings: Significantly higher RSFC between the inferior frontal gyrus (IFG) and lateral occipital gyrus (LOG) in the L1 network, and significantly higher RSFC between the IFG and angular gyrus (ANG) in the L2 network were observed in early bilinguals than in late bilinguals. Early bilinguals showed significantly higher clustering coefficient, global and local efficiency, but lower characteristic path length, than late bilinguals in the L2 network. Originality: Through analyzing the RSFC and topological properties of L1 and L2 networks, we observed the influence of AoA-L2 on the brain neuroplasticity in bilinguals. The findings may provide a new perspective for understanding the neuroplasticity in bilinguals with different L2 experience. Implications: The AoA-L2 affects the RSFC and topological properties of the L2 network more obviously relative to the L1 network in bilinguals. The effect of the L2 experience on the L1 network is hardly detected in bilinguals with high PL-L2.

Background: Bipolar disorder (BD) has been linked to abnormalities in the communication and gray matter volume (GMV) of large-scale brain networks, as reflected by impaired resting-state functional connectivity (rsFC) and aberrant voxel-based morphometry (VBM). However, identifying patterns of large-scale network abnormality in BD has been elusive. Methods: Whole-brain seed-based rs-FC and VBM studies comparing individuals with BD and healthy controls (HCs) were retrieved from multiple databases. Multilevel kernel density analysis was used to identify brain networks in which BD was linked to hyper-connectivity or hypo-connectivity with each prior network and the overlap between dysconnectivity and GMV changes. Results: Thirty-six seed-based rs-FC publications (1526 individuals with BD and 1578 HCs) and 70 VBM publications (2715 BD and 3044 HCs) were included in the meta-analysis. Our results showed that BD was characterized by hypo-connectivity within the default network (DN), hyper-connectivity within the affective network (AN), and ventral attention network (VAN) and hypo- and hyper-connectivity within the frontoparietal network (FN). Hyper-connectivity between-network of AN-DN, AN-FN, AN-VAN, AN-thalamus network (TN), VAN-TN, VAN-DN, VAN-FN, and TN-sensorimotor network were found. Hypo-connectivity between-network of FN and DN was observed. Decreased GMV was found in the insula, inferior frontal gyrus, and anterior cingulate cortex. Limitations: Differential weights in the number of included studies and sample size of FC and VBM might have a disproportionate influence on the meta-analytic results. Conclusions: These results suggest that BD is characterized by both structural and functional abnormalities of large-scale neurocognitive networks, especially in the DN, AN, VAN, FN, and TN.

BACKGROUND:Helicopter parenting has been one of major contributing factors to depression, and the occurrence of severe depressive level has been increasing in college students. Based on self-determinant theory (SDT), previous studies have indicated the pathway between helicopter parenting and depressive level, especially focusing on the roles of basic psychological needs, self-control and teacher autonomy support. But few studies focused on the full model of these interactive factors and the Chinese non-clinical college students.METHODS:Non-clinical college students (n = 648), aging from 17 to 28 years old, were recruited as participants from universities in Guangzhou, China, in 2020. The participants were asked to complete five self-report questionnaires, including Helicopter Parenting Scale (HPS), Learning Climate Questionnaire (LCQ), Basic Psychological Needs Scale (BPNS), Self-Control Scale (SCS), and Beck Depression Scale-II (BDI-II).RESULTS:Results have revealed that basic psychological needs and self-control played a chain-type mediating role between helicopter parenting and depressive scores among non-clinical Chinese college students. In addition, the path between helicopter parenting and basic psychological needs was moderated by teacher autonomy support.CONCLUSIONS:This study reveals a potential pathway of how helicopter parenting influence the depressive level among non-clinical college students in the context of Chinese background. These findings give multi-dimensional (parents, teachers, and college students) indications for reducing the effects of helicopter parenting on depressive level among non-clinical Chinese college students, which will be helpful for improving their mental health. However, this is a cross-sectional study and other factors may also play important roles in this pathway.

The eyes are our windows to the brain. There are differences in brain activity between people who have their eyes closed (EC) and eyes open (EO). Previous studies focused on differences in brain functional properties between these eyes conditions based on an assumption that brain activity is a static phenomenon. However, the dynamic nature of the brain activity in different eyes conditions is still unclear. In this study, we collected resting-state fMRI data from 21 healthy subjects in the EC and EO conditions. Using a sliding time window approach and a k-means clustering algorithm, we calculated the temporal properties of dynamic functional connectivity (dFC) states in the eyes conditions. We also used graph theory to estimate the dynamic topological properties of functional networks in the two conditions. We detected two dFC states, a hyper-connected State 1 and a hypo-connected State 2. We showed the following results: (i) subjects in the EC condition stayed longer in the hyper-connected State 1 than those in the EO; (ii) subjects in the EO condition stayed longer in the hypo-connected State 2 than those in the EC; and (iii) the dFC state transformed into the other state more frequently during EC than during EO. We also found the variance of the characteristic path length was higher during EC than during EO in the hyper-connected State 1. These results indicate that brain activity may be more active and unstable during EC than during EO. Our findings may provide insights into the dynamic nature of the resting-state brain and could be a useful reference for future rs-fMRI studies.

BACKGROUND:Schizophrenia (SCZ) is a highly heritable disorder associated with brain connectivity changes. Although the mechanism of disease expression and vulnerability of SCZ have been reported by previous studies, the mechanism of resilience to SCZ based on the brain structural connectivity is poorly understood. The goal of the present study was to identify the structural brain connectivity related with the resilience to SCZ, which is defined here as the capacity to avoid or delay the onset of SCZ in unaffected siblings of SCZ probands.METHOD:We collected diffusion tensor imaging (DTI) data of 49 medication-naive, first-episode SCZ (FE-SCZ) patients, 56 unaffected siblings of SCZ probands (SIB-SCZ), and 90 healthy controls. Then we used graph theoretical approach to calculate the topological properties of the brain structural network, including global, subnetwork, and regional parameters. Finally, we compared the parameters between the three groups, and identified the brain structural network related to the resilience, vulnerability and disease expression to SCZ.RESULTS:With respect to resilience, only the SIB-SCZ showed significantly increased connectivity in the subnetworks of the left cuneus-precuneus and left posterior cingulate gyrus-precuneus, and in brain areas of right supramarginal gyrus and right inferior temporal gyrus. With respect to vulnerability, both the FE-SCZ and SIB-SCZ had decreased cluster coefficients and local efficiency, and decreased nodal efficiency in the right medial superior frontal gyrus and right medial orbital superior frontal gyrus compared with the healthy controls. With respect to disease expression, only the FE-SCZ group showed decreased or increased global, subnetwork, and nodal connectivity in broader brain regions compared with the healthy controls.CONCLUSION:Difference in the topological properties of brain structural connectivity not only reflect the underlying mechanism of vulnerability but also that of resilience to schizophrenia. Alteration in the brain structural connectivity associating with resilience and disease expression may contribute to the onset of SCZ.

Background: Resting-state functional MRI (fMRI) studies have provided much evidence for abnormal intrinsic brain activity in schizophrenia, but results have been inconsistent. Methods: We conducted a meta-analysis of whole-brain, resting-state fMRI studies that explored differences in amplitude of low-frequency fluctuation (ALFF) between people with schizophrenia (including first episode and chronic) and healthy controls. Results: A systematic literature search identified 24 studies comparing a total of 1249 people with schizophrenia and 1179 healthy controls. Overall, patients with schizophrenia displayed decreased ALFF in the bilateral postcentral gyrus, bilateral precuneus, left inferior parietal gyri and right occipital lobe, and increased ALFF in the right putamen, right inferior frontal gyrus, left inferior temporal gyrus and right anterior cingulate cortex. In the subgroup analysis, patients with first-episode schizophrenia demonstrated decreased ALFF in the bilateral inferior parietal gyri, right precuneus and left medial prefrontal cortex, and increased ALFF in the bilateral putamen and bilateral occipital gyrus. Patients with chronic schizophrenia showed decreased ALFF in the bilateral postcentral gyrus, left precuneus and right occipital gyrus, and increased ALFF in the bilateral inferior frontal gyri, bilateral superior frontal gyrus, left amygdala, left inferior temporal gyrus, right anterior cingulate cortex and left insula. Limitations: The small sample size of our subgroup analysis, predominantly Asian samples, processing steps and publication bias could have limited the accuracy of the results. Conclusion: Our comprehensive meta-analysis suggests that findings of aberrant regional intrinsic brain activity during the initial stages of schizophrenia, and much more widespread damage with the progression of disease, may contribute to our understanding of the progressive pathophysiology of schizophrenia.

Most previous neuroaesthetics research has been limited to considering the aesthetic judgment of static stimuli, with few studies examining the aesthetic judgment of dynamic stimuli. The present study explored the neural mechanisms underlying aesthetic judgment of dynamic landscapes, and compared the neural mechanisms between the aesthetic judgments of dynamic landscapes and static ones. Participants were scanned while they performed aesthetic judgments on dynamic landscapes and matched static ones. The results revealed regions of occipital lobe, frontal lobe, supplementary motor area, cingulate cortex and insula were commonly activated both in the aesthetic judgments of dynamic and static landscapes. Furthermore, compared to static landscapes, stronger activations of middle temporal gyrus (MT/V5), and hippocampus were found in the aesthetic judgments of dynamic landscapes. This study provided neural evidence that visual processing related regions, emotion-related regions were more active when viewing dynamic landscapes than static ones, which also indicated that dynamic stimuli were more beautiful than static ones.