المؤلفون: Nanfang Pan, Song Wang, Huan Lan, Xun Zhang, Kun Qin, Graham J. Kemp, Xueling Suo, Qiyong Gong

المصدر: Translational Psychiatry, Vol 14, Iss 1, Pp 1-9 (2024)

مصطلحات موضوعية: Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

الوصف: Abstract Severe mental health problems with the representation of negative affect symptoms (NAS) have been increasingly reported during the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to explore the multivariate patterns of brain functional connectome predicting COVID-19-related NAS. This cohort study encompassed a group of university students to undergo neuroimaging scans before the pandemic, and we re-contacted participants for 1-year follow-up COVID-related NAS evaluations during the pandemic. Regularized canonical correlation analysis was used to identify connectome-based dimensions of NAS to compute pairs of canonical variates. The predictive ability of identified functional connectome to NAS dimensional scores was examined with a nested cross-validation. Two dimensions (i.e. mode stress and mode anxiety) were related to distinct patterns of brain functional connectome (r 2 = 0.911, P FDR = 0.048; r 2 = 0.901, P FDR = 0.037, respectively). Mode anxiety was characterized by high loadings in connectivity between affective network (AFN) and visual network (VN), while connectivity of the default mode network with dorsal attention network (DAN) were remarkably prominent in mode stress. Connectivity patterns within the DAN and between DAN and VN, ventral attention network, and AFN was common for both dimensions. The identified functional connectome can reliably predict mode stress (r = 0.37, MAE = 5.1, p

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2158-3188

URL الوصول: https://doaj.org/article/7de7ea802c4042d5ad3601749af5cebd

المؤلفون: Huan Lan, Xueling Suo, Chao Zuo, Weishi Ni, Song Wang, Graham J. Kemp, Qiyong Gong, Xiangxiang Pan, Peifang Wei

المصدر: Chinese Medical Journal, Vol 136, Iss 23, Pp 2824-2833 (2023)

مصطلحات موضوعية: Medicine

الوصف: Abstract. Background:. Patients with schizophrenia (SCZ) and major depressive disorder (MDD) share significant clinical overlap, although it remains unknown to what extent this overlap reflects shared neural profiles. To identify the shared and specific abnormalities in SCZ and MDD, we performed a whole-brain voxel-based meta-analysis using magnetization transfer imaging, a technique that characterizes the macromolecular structural integrity of brain tissue in terms of the magnetization transfer ratio (MTR). Methods:. A systematic search based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines was conducted in PubMed, EMBASE, International Scientific Index (ISI) Web of Science, and MEDLINE for relevant studies up to March 2022. Two researchers independently screened the articles. Rigorous scrutiny and data extraction were performed for the studies that met the inclusion criteria. Voxel-wise meta-analyses were conducted using anisotropic effect size-signed differential mapping with a unified template. Meta-regression was used to explore the potential effects of demographic and clinical characteristics. Results:. A total of 15 studies with 17 datasets describing 365 SCZ patients, 224 MDD patients, and 550 healthy controls (HCs) were identified. The conjunction analysis showed that both disorders shared higher MTR than HC in the left cerebellum (P=0.0006) and left fusiform gyrus (P=0.0004). Additionally, SCZ patients showed disorder-specific lower MTR in the anterior cingulate/paracingulate gyrus, right superior temporal gyrus, and right superior frontal gyrus, and higher MTR in the left thalamus, precuneus/cuneus, posterior cingulate gyrus, and paracentral lobule; and MDD patients showed higher MTR in the left middle occipital region. Meta-regression showed no statistical significance in either group. Conclusions:. The results revealed a structural neural basis shared between SCZ and MDD patients, emphasizing the importance of shared neural substrates across psychopathology. Meanwhile, distinct disease-specific characteristics could have implications for future differential diagnosis and targeted treatment.

وصف الملف: electronic resource

Relation: http://journals.lww.com/10.1097/CM9.0000000000002538; https://doaj.org/toc/0366-6999; https://doaj.org/toc/2542-5641

URL الوصول: https://doaj.org/article/fd8e5576943f428fb4e1c720ee8567fb

المؤلفون: Xiqin Liu, Yajun Zhao, Xueling Suo, Xun Zhang, Nanfang Pan, Graham J. Kemp, Qiyong Gong, Song Wang

المصدر: Translational Psychiatry, Vol 13, Iss 1, Pp 1-9 (2023)

مصطلحات موضوعية: Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

الوصف: Abstract Vicarious traumatization (VT), a negative reaction to witnessing others’ trauma, has been experienced by some people during the COVID-19 pandemic, and can lead to mental health problems. This study aimed to identify functional brain markers of COVID-specific VT and explore the psychological mechanism underlying the brain-VT link. One hundred healthy participants underwent resting-state functional magnetic resonance imaging before the pandemic (October 2019–January 2020) and completed VT measurement during the pandemic (February–April 2020). Whole-brain correlation analysis based on global functional connectivity density (FCD) mapping revealed that VT was negatively correlated with FCD in the right inferior temporal gyrus (ITG) (i.e., the lower FCD in ITG, the worse the VT), identified by mapping onto known large-scale networks as part of the default-mode network (DMN). Resting-state functional connectivity (RSFC) analysis using ITG as seed found that VT was predicted by lower functional connectivity between ITG and other DMN regions including left medial prefrontal cortex, left orbitofrontal cortex, right superior frontal gyrus, right inferior parietal lobule and bilateral precuneus (i.e., the lower the ITG-DMN connectivity, the worse the VT). Mediation analyses suggested that psychological resilience served as a mediator in these associations of ITG FCD and ITG-DMN RSFC with VT. Our results provide novel evidence on the brain basis of VT and emphasize psychological resilience as an important link from DMN functional connectivity to COVID-specific-VT. This may facilitate public health interventions by helping identify individuals at risk of stress- and trauma-related psychopathologies.

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2158-3188

URL الوصول: https://doaj.org/article/121fea5de42a494ba48e8a1d98e043db

المؤلفون: Xun Zhang, Qingyuan Li, Xun Yang, Nanfang Pan, Xueling Suo, Min He, Song Wang, Graham J. Kemp, Qiyong Gong, Xiangxiang Pan, Peifang Wei

المصدر: Chinese Medical Journal, Vol 136, Iss 13, Pp 1621-1623 (2023)

مصطلحات موضوعية: Medicine

وصف الملف: electronic resource

Relation: http://journals.lww.com/10.1097/CM9.0000000000002363; https://doaj.org/toc/0366-6999; https://doaj.org/toc/2542-5641

URL الوصول: https://doaj.org/article/ac67ec537eb6479385f672db7baf0dcd

المؤلفون: Yajing Long, Nanfang Pan, Shiyu Ji, Kun Qin, Ying Chen, Xun Zhang, Min He, Xueling Suo, Yifan Yu, Song Wang, Qiyong Gong

المصدر: Translational Psychiatry, Vol 12, Iss 1, Pp 1-9 (2022)

مصطلحات موضوعية: Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

الوصف: Abstract As two common mental disorders during the period of adolescence that extend to early adulthood, attention-deficit/hyperactivity disorder (ADHD) and substance use disorders (SUDs) have considerable diagnostic co-occurrence and shared neuropsychological impairments. Our study aimed to identify overlapping and distinct brain structural abnormalities associated with ADHD and SUDs among adolescents and young adults. A systematic literature search on voxel-based morphometry (VBM) studies of ADHD and SUDs was conducted in PubMed and Web of Science. Data were extracted and analyzed to identify brain abnormalities using Seed-based d-Mapping software. Data-driven functional decoding was conducted to identify the psychophysiological functioning associated with brain alterations. 13 and 14 VBM studies for ADHD (619 patients and 483 controls) and SUDs (516 patients and 413 controls), respectively, were included. Patterns of decreased gray matter volume (GMV) were found in the left precentral gyrus, bilateral superior frontal gyri, and left inferior frontal gyrus in the ADHD group compared to the control group. In contrast, individuals with SUDs, relative to controls, were characterized by increased GMV in the left putamen and insula. Comparative analysis indicated larger regional GMV in the right inferior parietal lobule and smaller volumes in the left putamen and left precentral gyrus in the ADHD group than in the SUDs group. Dissociable brain structural abnormalities in adolescents and young adults with ADHD and SUDs potentially implicate different pathogeneses and provide a reference for differential diagnosis and early detection for shared symptomology and comorbidity.

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2158-3188

URL الوصول: https://doaj.org/article/73d33dbaadcf424fad1eb63f212b650e

المؤلفون: Du Lei, Xueling Suo, Kun Qin, Walter H. L. Pinaya, Yuan Ai, Wenbin Li, Weihong Kuang, Su Lui, Graham J. Kemp, John A. Sweeney, Qiyong Gong

المصدر: Translational Psychiatry, Vol 12, Iss 1, Pp 1-7 (2022)

مصطلحات موضوعية: Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

الوصف: Abstract Magnetization transfer imaging (MTI) may provide more sensitivity and mechanistic understanding of neuropathological changes associated with schizophrenia than volumetric MRI. This study aims to identify brain magnetization transfer ratio (MTR) changes in antipsychotic-naïve first-episode schizophrenia (FES), and to correlate MTR findings with clinical symptom severity. A total of 143 individuals with antipsychotic-naïve FES and 147 healthy controls (HCs) were included and underwent 3.0 T brain MTI between August 2005 and July 2014. Voxelwise analysis was performed to test for MTR differences with family-wise error corrections. Relationships of these differences to symptom severity were assessed using partial correlations. Exploratory analyses using a support vector machine (SVM) classifier were conducted to discriminate FES from HCs using MTR maps. Model performance was examined using a 10-fold stratified cross-validation. Compared with HCs, individuals with FES exhibited higher MTR values in left thalamus, precuneus, cuneus, and paracentral lobule, that were positively correlated with schizophrenia symptom severity [precuneus (r = 0.34, P = 0.0004), cuneus (r = 0.33, P = 0.0006) and paracentral lobule (r = 0.37, P = 0.001)]. Whole-brain MTR maps identified individuals with FES with overall accuracy 75.5% (219 of 290 individuals) based on SVM approach. In antipsychotic-naïve FES, clinically relevant biophysical abnormalities detected by MTI mainly in the left parieto-occipital regions are informative about local brain pathology, and have potential as diagnostic markers.

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2158-3188

URL الوصول: https://doaj.org/article/ed12ba8743844d859e379593edc3b6eb

المؤلفون: Xun Zhang, Xueling Suo, Xun Yang, Han Lai, Nanfang Pan, Min He, Qingyuan Li, Weihong Kuang, Song Wang, Qiyong Gong

المصدر: Translational Psychiatry, Vol 12, Iss 1, Pp 1-11 (2022)

مصطلحات موضوعية: Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

الوصف: Abstract Although functional and structural abnormalities in brain regions involved in the neurobiology of fear and anxiety have been observed in patients with social anxiety disorder (SAD), the findings have been heterogeneous due to small sample sizes, demographic confounders, and methodological differences. Besides, multimodal neuroimaging studies on structural-functional deficits and couplings are rather scarce. Herein, we aimed to explore functional network anomalies in brain regions with structural deficits and the effects of structure-function couplings on the SAD diagnosis. High-resolution structural magnetic resonance imaging (MRI) and resting-state functional MRI images were obtained from 49 non-comorbid patients with SAD and 53 demography-matched healthy controls. Whole-brain voxel-based morphometry analysis was conducted to investigate structural alterations, which were subsequently used as seeds for the resting-state functional connectivity analysis. In addition, correlation and mediation analyses were performed to probe the potential roles of structural-functional deficits in SAD diagnosis. SAD patients had significant gray matter volume reductions in the bilateral putamen, right thalamus, and left parahippocampus. Besides, patients with SAD demonstrated widespread resting-state dysconnectivity in cortico-striato-thalamo-cerebellar circuitry. Moreover, dysconnectivity of the putamen with the cerebellum and the right thalamus with the middle temporal gyrus/supplementary motor area partially mediated the effects of putamen/thalamus atrophy on the SAD diagnosis. Our findings provide preliminary evidence for the involvement of structural and functional deficits in cortico-striato-thalamo-cerebellar circuitry in SAD, and may contribute to clarifying the underlying mechanisms of structure-function couplings for SAD. Therefore, they could offer insights into the neurobiological substrates of SAD.

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2158-3188

URL الوصول: https://doaj.org/article/2ac070de7aef46008c9265372d5960f2

المؤلفون: Jing Yang, Du Lei, Kun Qin, Walter H. L. Pinaya, Xueling Suo, Wenbin Li, Lingjiang Li, Graham J. Kemp, Qiyong Gong

المصدر: BMC Psychiatry, Vol 21, Iss 1, Pp 1-10 (2021)

مصطلحات موضوعية: Deep learning, Posttraumatic stress disorder, Graph measure, Topological properties, Classification Psychoradiology, Psychoradiology, Psychiatry, RC435-571

الوصف: Abstract Background Children exposed to natural disasters are vulnerable to developing posttraumatic stress disorder (PTSD). Previous studies using resting-state functional neuroimaging have revealed alterations in graph-based brain topological network metrics in pediatric PTSD patients relative to healthy controls (HC). Here we aimed to apply deep learning (DL) models to neuroimaging markers of classification which may be of assistance in diagnosis of pediatric PTSD. Methods We studied 33 pediatric PTSD and 53 matched HC. Functional connectivity between 90 brain regions from the automated anatomical labeling atlas was established using partial correlation coefficients, and the whole-brain functional connectome was constructed by applying a threshold to the resultant 90 * 90 partial correlation matrix. Graph theory analysis was used to examine the topological properties of the functional connectome. A DL algorithm then used this measure to classify pediatric PTSD vs HC. Results Graphic topological measures using DL provide a potentially clinically useful classifier for differentiating pediatric PTSD and HC (overall accuracy 71.2%). Frontoparietal areas (central executive network), cingulate cortex, and amygdala contributed the most to the DL model’s performance. Conclusions Graphic topological measures based on fMRI data could contribute to imaging models of clinical utility in distinguishing pediatric PTSD from HC. DL model may be a useful tool in the identification of brain mechanisms PTSD participants.

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1471-244X

URL الوصول: https://doaj.org/article/3ce8820e1f394ddeaddbfdfefb716f69

المؤلفون: Xueling Suo, Chao Zuo, Huan Lan, Nanfang Pan, Xun Zhang, Graham J. Kemp, Song Wang, Qiyong Gong

المصدر: NeuroImage, Vol 255, Iss , Pp 119185- (2022)

مصطلحات موضوعية: Vicarious traumatization, Connectome-based predictive modeling, Posttraumatic stress disorder, Depression, Anxiety, Psychoradiology, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

الوصف: As characterized by repeated exposure of others’ trauma, vicarious traumatization is a common negative psychological reaction during the COVID-19 pandemic and plays a crucial role in the development of general mental distress. This study aims to identify functional connectome that encodes individual variations of pandemic-related vicarious traumatization and reveal the underlying brain-vicarious traumatization mechanism in predicting general distress. The eligible subjects were 105 general university students (60 females, aged from 19 to 27 years) undergoing brain MRI scanning and baseline behavioral tests (October 2019 to January 2020), whom were re-contacted for COVID-related vicarious traumatization measurement (February to April 2020) and follow-up general distress evaluation (March to April 2021). We applied a connectome-based predictive modeling (CPM) approach to identify the functional connectome supporting vicarious traumatization based on a 268-region-parcellation assigned to network memberships. The CPM analyses showed that only the negative network model stably predicted individuals’ vicarious traumatization scores (q2 = -0.18, MSE = 617, r [predicted, actual] = 0.18, p = 0.024), with the contributing functional connectivity primarily distributed in the fronto-parietal, default mode, medial frontal, salience, and motor network. Furthermore, mediation analysis revealed that vicarious traumatization mediated the influence of brain functional connectome on general distress. Importantly, our results were independent of baseline family socioeconomic status, other stressful life events and general mental health as well as age, sex and head motion. Our study is the first to provide evidence for the functional neural markers of vicarious traumatization and reveal an underlying neuropsychological pathway to predict distress symptoms in which brain functional connectome affects general distress via vicarious traumatization.

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S105381192200310X; https://doaj.org/toc/1095-9572

URL الوصول: https://doaj.org/article/2eeb9396d8824fb0a3021696f7d58b14

المؤلفون: Xueling Suo, Junru Chen, Yijun Zhao, Qidun Tang, Xibiao Yang, Yuan Yuan, Ling Nie, Ni Chen, Hao Zeng, Jin Yao

المصدر: Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)

مصطلحات موضوعية: Medicine, Science

الوصف: Abstract This study aimed to investigate the clinicopathological and radiological significance of the collateral vessel of renal cell carcinoma (RCC) on preoperative computed tomography (CT). Preoperative contrast-enhanced CT of 236 consecutive patients with pathological documented RCC were retrospectively reviewed during the period of 2014. The associations of the presence of collateral vessels with perioperative clinicopathological and radiological features, as well as long term survival outcomes were analyzed. Totally, collateral vessels were detected by contrast-enhanced CT in 110 of 236 patients. The presence of collateral vessels was significantly associated with higher pathologic T stage, higher Fuhrman grade, higher overall RENAL scores, greater tumor size and enhancement, and more tumor necrosis (all P

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/907a7875124f4b8fbd2ceafa52afa06d