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Lin Q, Wu J, Qiu S. Meta-analysis of the value of dual-energy computed tomography in the diagnosis of anterior cruciate ligament injuries of the knee. BMC Musculoskelet Disord 2024; 25:557. [PMID: 39020351 PMCID: PMC11256425 DOI: 10.1186/s12891-024-07632-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Accepted: 06/26/2024] [Indexed: 07/19/2024] Open
Abstract
BACKGROUND This meta-analysis assessed the efficacy of dual-energy computed tomography (DECT) in the diagnosis of anterior cruciate ligament (ACL) injuries. METHODS The literature search was performed up to December 8, 2023, and included a comprehensive examination of several databases: PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang, and VIP. Diagnostic metrics sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and a summary receiver operating characteristic (SROC) were determined using a bivariate model analysis. Heterogeneity within the data was explored through subgroup analyses, which considered variables including geographical region, use of magnetic resonance imaging (MRI), arthroscopy, and study design. RESULTS The analysis included ten studies encompassing 544 patients. DECT demonstrated substantial diagnostic utility for ACL injuries of the knee, with a sensitivity of 0.91 (95% confidence interval [CI]: 0.88-0.94), a specificity of 0.90 (95% CI: 0.81-0.95), a PLR of 9.20 (95% CI: 4.50-19.00), a NLR of 0.10 (95% CI: 0.06-0.14), a DOR of 97.00 (95% CI: 35.00-268.00), and an area under the curve (AUC) of 0.95 (95% CI: 0.93-0.97). The subgroup analyses consistently showed high diagnostic precision for ACL injuries across Asian population (sensitivity: 0.91, specificity: 0.91, PLR: 9.90, NLR: 0.09, DOR: 105.00, AUC: 0.96), in MRI subgroup (sensitivity: 0.85, specificity: 0.94, PLR: 9.57, NLR: 0.18, DOR: 56.00, AUC: 0.93), in arthroscopy subgroup (sensitivity: 0.92, specificity: 0.89, PLR: 8.40, NLR: 0.09, DOR: 94.00, AUC: 0.95), for prospective studies (sensitivity: 0.92, specificity: 0.88, PLR: 7.40, NLR: 0.09, DOR: 78.00, AUC: 0.95), and for retrospective studies (sensitivity: 0.91, specificity: 0.93, AUC: 0.93). CONCLUSION DECT exhibits a high value in diagnosing ACL injuries. The significant diagnostic value of DECT provides clinicians with a powerful tool that enhances the accuracy and efficiency of diagnosis and optimizes patient management and treatment outcomes.
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Li M, Li Y, Tan X, Qin C, Chen Y, Liang Y, Qiu S, An J. Resting-state neural activity and cerebral blood flow alterations in type 2 diabetes mellitus: Insights from hippocampal subfields. Brain Behav 2024; 14:e3600. [PMID: 38988142 PMCID: PMC11237339 DOI: 10.1002/brb3.3600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 05/17/2024] [Accepted: 05/27/2024] [Indexed: 07/12/2024] Open
Abstract
OBJECTIVE In this study, multimodal magnetic resonance imaging (MRI) imaging was used to deeply analyze the changes of hippocampal subfields perfusion and function in patients with type 2 diabetes mellitus (T2DM), aiming to provide image basis for the diagnosis of hippocampal-related nerve injury in patients with T2DM. METHODS We recruited 35 patients with T2DM and 40 healthy control subjects (HCs). They underwent resting-state functional MRI (rs-fMRI), arterial spin labeling (ASL) scans, and a series of cognitive tests. Then, we compared the differences of two groups in the cerebral blood flow (CBF) value, amplitude of low-frequency fluctuation (ALFF) value, and regional homogeneity (ReHo) value of the bilateral hippocampus subfields. RESULTS The CBF values of cornu ammonis area 1 (CA1), dentate gyrus (DG), and subiculum in the right hippocampus of T2DM group were significantly lower than those of HCs. The ALFF values of left hippocampal CA3, subiculum, and bilateral hippocampus amygdala transition area (HATA) were higher than those of HCs in T2DM group. The ReHo values of CA3, DG, subiculum, and HATA in the left hippocampus of T2DM group were higher than those of HCs. In the T2DM group, HbAc1 and FINS were negatively correlated with imaging characteristics in some hippocampal subregions. CONCLUSION This study indicates that T2DM patients had decreased perfusion in the CA1, DG, and subiculum of the right hippocampus, and the right hippocampus subiculum was associated with chronic hyperglycemia. Additionally, we observed an increase in spontaneous neural activity within the left hippocampal CA3, subiculum, and bilateral HATA regions, as well as an enhanced local neural coordination in the left hippocampal CA3, DG, HATA, and subiculum among patients with type 2 diabetes, which may reflect an adaptive compensation for cognitive decline. However, this compensation may decline with the exacerbation of metabolic disorders.
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Li M, Li Y, Zhao K, Qin C, Chen Y, Liu Y, Qiu S, Tan X, Liang Y. Abnormal cerebral blood flow and brain function in type 2 diabetes mellitus. Endocrine 2024; 85:433-442. [PMID: 37340286 DOI: 10.1007/s12020-023-03342-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 02/25/2023] [Indexed: 06/22/2023]
Abstract
PURPOSE Type 2 diabetes mellitus (T2DM) lead to impaired cerebral blood perfusion, which leads to changes in brain function and affects the cognitive function of patients. In this study, cerebral blood flow (CBF) was used to evaluate the effect of T2DM on cerebral perfusion, and functional connectivity (FC) analysis was further used to explore whether the FC between the abnormal CBF region and the whole brain was changed. In addition, amplitude of low-frequency fluctuation (ALFF) and degree centrality (DC) were used to investigate the changes in spontaneous activity and connectivity strength of the brain network. METHODS We recruited 40 T2DM patients and 55 healthy controls (HCs). They underwent 3D-T1WI, rs-fMRI, arterial spin labeling (ASL) sequence scans and a series of cognitive tests. Cognitive test scores and brain imaging indicators were compared between the two groups, and the relationships among laboratory indicators, cognitive test scores, and brain imaging indicators were explored in the T2DM group. RESULTS Compared to HCs, The CBF values of Calcarine_L and Precuneus_R in the T2DM group were lower. The DC value of Paracentral_Lobule_L and Precuneus_L, and the ALFF value of Hippocampus_L in the T2DM group were higher. In addition, the CBF values of Calcarine_L was negatively correlated with fasting insulin and HOMA_IR. CONCLUSION This study found that there were regions of cerebral hypoperfusion in T2DM patients, which are associated with insulin resistance. In addition, we found abnormally elevated brain activity and enhanced functional connectivity in T2DM patients, which we speculated was the compensatory mechanism of brain neural activity.
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Ge L, Cao Z, Sun Z, Yue X, Rao Y, Zhao K, Qiu W, Li Y, Lu W, Qiu S. Functional connectivity density aberrance in type 2 diabetes mellitus with and without mild cognitive impairment. Front Neurol 2024; 15:1418714. [PMID: 38915801 PMCID: PMC11194391 DOI: 10.3389/fneur.2024.1418714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Accepted: 05/29/2024] [Indexed: 06/26/2024] Open
Abstract
Purpose The objective of this study was to investigate alterations in functional connectivity density (FCD) mapping and their impact on functional connectivity (FC) among individuals diagnosed with Type 2 diabetes mellitus (T2DM) across different cognitive states. Moreover, the study sought to explore the potential association between aberrant FCD/FC patterns and clinical or cognitive variables. Methods A total of 211 participants were recruited for this study, consisting of 75 healthy controls (HCs), 89 T2DM patients with normal cognitive function (DMCN), and 47 T2DM patients with mild cognitive impairment (DMCI). The study employed FCD analysis to pinpoint brain regions exhibiting significant FCD alterations. Subsequently, these regions showing abnormal FCD served as seeds for FC analysis. Exploratory partial correlations were conducted to explore the relationship between clinical biochemical indicators, neuropsychological test scores, and altered FCD or FC. Results The FCD analysis revealed an increased trend in global FCD (gFCD), local FCD (lFCD), and long-range FCD (lrFCD) within the bilateral supramarginal gyrus (SMG) among individuals with DMCN. Additionally, significant lFCD alterations were observed in the right inferior frontal gyrus and left precuneus when comparing DMCN to HCs and DMCI. Conclusion When comparing individuals with T2DM and healthy controls (HCs), it was revealed that DMCN exhibited significant improvements in FCD. This suggests that the brain may employ specific compensatory mechanisms to maintain normal cognitive function at this stage. Our findings provide a novel perspective on the neural mechanisms involved in cognitive decline associated with T2DM.
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Sun L, Zhao T, Liang X, Xia M, Li Q, Liao X, Gong G, Wang Q, Pang C, Yu Q, Bi Y, Chen P, Chen R, Chen Y, Chen T, Cheng J, Cheng Y, Cui Z, Dai Z, Deng Y, Ding Y, Dong Q, Duan D, Gao JH, Gong Q, Han Y, Han Z, Huang CC, Huang R, Huo R, Li L, Lin CP, Lin Q, Liu B, Liu C, Liu N, Liu Y, Liu Y, Lu J, Ma L, Men W, Qin S, Qiu J, Qiu S, Si T, Tan S, Tang Y, Tao S, Wang D, Wang F, Wang J, Wang P, Wang X, Wang Y, Wei D, Wu Y, Xie P, Xu X, Xu Y, Xu Z, Yang L, Yuan H, Zeng Z, Zhang H, Zhang X, Zhao G, Zheng Y, Zhong S, He Y. Functional connectome through the human life span. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.09.12.557193. [PMID: 37745373 PMCID: PMC10515818 DOI: 10.1101/2023.09.12.557193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
The lifespan growth of the functional connectome remains unknown. Here, we assemble task-free functional and structural magnetic resonance imaging data from 33,250 individuals aged 32 postmenstrual weeks to 80 years from 132 global sites. We report critical inflection points in the nonlinear growth curves of the global mean and variance of the connectome, peaking in the late fourth and late third decades of life, respectively. After constructing a fine-grained, lifespan-wide suite of system-level brain atlases, we show distinct maturation timelines for functional segregation within different systems. Lifespan growth of regional connectivity is organized along a primary-to-association cortical axis. These connectome-based normative models reveal substantial individual heterogeneities in functional brain networks in patients with autism spectrum disorder, major depressive disorder, and Alzheimer's disease. These findings elucidate the lifespan evolution of the functional connectome and can serve as a normative reference for quantifying individual variation in development, aging, and neuropsychiatric disorders.
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Fu J, Zhang Q, Wang J, Wang M, Zhang B, Zhu W, Qiu S, Geng Z, Cui G, Yu Y, Liao W, Zhang H, Gao B, Xu X, Han T, Yao Z, Qin W, Liu F, Liang M, Wang S, Xu Q, Xu J, Zhang P, Li W, Shi D, Wang C, Lui S, Yan Z, Chen F, Zhang J, Li J, Shen W, Miao Y, Wang D, Xian J, Gao JH, Zhang X, Xu K, Zuo XN, Zhang L, Ye Z, Cheng J, Li MJ, Yu C. Cross-ancestry genome-wide association studies of brain imaging phenotypes. Nat Genet 2024; 56:1110-1120. [PMID: 38811844 DOI: 10.1038/s41588-024-01766-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 04/23/2024] [Indexed: 05/31/2024]
Abstract
Genome-wide association studies of brain imaging phenotypes are mainly performed in European populations, but other populations are severely under-represented. Here, we conducted Chinese-alone and cross-ancestry genome-wide association studies of 3,414 brain imaging phenotypes in 7,058 Chinese Han and 33,224 white British participants. We identified 38 new associations in Chinese-alone analyses and 486 additional new associations in cross-ancestry meta-analyses at P < 1.46 × 10-11 for discovery and P < 0.05 for replication. We pooled significant autosomal associations identified by single- or cross-ancestry analyses into 6,443 independent associations, which showed uneven distribution in the genome and the phenotype subgroups. We further divided them into 44 associations with different effect sizes and 3,557 associations with similar effect sizes between ancestries. Loci of these associations were shared with 15 brain-related non-imaging traits including cognition and neuropsychiatric disorders. Our results provide a valuable catalog of genetic associations for brain imaging phenotypes in more diverse populations.
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Qiu W, Yue X, Huang H, Ge L, Lu W, Cao Z, Rao Y, Tan X, Wang Y, Wu J, Chen Y, Qiu S, Li G. Structural characteristics of amygdala subregions in type 2 diabetes mellitus. Behav Brain Res 2024; 466:114992. [PMID: 38599250 DOI: 10.1016/j.bbr.2024.114992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 04/04/2024] [Accepted: 04/05/2024] [Indexed: 04/12/2024]
Abstract
Type 2 diabetes mellitus (T2DM) patients often suffer from depressive symptoms, which seriously affect cooperation in treatment and nursing. The amygdala plays a significant role in depression. This study aims to explore the microstructural alterations of the amygdala in T2DM and to investigate the relationship between the alterations and depressive symptoms. Fifty T2DM and 50 healthy controls were included. Firstly, the volumes of subcortical regions and subregions of amygdala were calculated by FreeSurfer. Covariance analysis (ANCOVA) was conducted between the two groups with covariates of age, sex, and estimated total intracranial volume to explore the differences in volume of subcortical regions and subregions of amygdala. Furthermore, the structural covariance within the amygdala subregions was performed. Moreover, we investigate the correlation between depressive symptoms and the volume of subcortical regions and amygdala subregions in T2DM. We observed a reduction in the volume of the bilateral cortico-amygdaloid transition area, left basal nucleus, bilateral accessory basal nucleus, left anterior amygdaloid area of amygdala, the left thalamus and left hippocampus in T2DM. T2DM patients showed decreased structural covariance connectivity between left paralaminar nucleus and the right central nucleus. Moreover, there was a negative correlation between self-rating depression scale scores and the volume of the bilateral cortico-amygdaloid transition area in T2DM. This study reveals extensive structural alterations in the amygdala subregions of T2DM patients. The reduction in the volume of the bilateral cortico-amygdaloid transition area may be a promising imaging marker for early recognition of depressive symptoms in T2DM.
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Qiu S, Guo CX, Li L, Yuan JF, Liu J, Peng YY, Qiu Q. [Auxiliary diagnosis and prognosis evaluation of KIF4A, RAD51AP1 and CDKN3 in esophageal cancer]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2024; 58:665-672. [PMID: 38715507 DOI: 10.3760/cma.j.cn112150-20230717-00008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/05/2024]
Abstract
To investigate the expression of mRNA in esophageal cancer (ESCA) tissues and its potential and diagnostic and prognostic value by high-throughput sequencing data. Using the Cancer Genome Atlas Program (TCGA) database in USA by integrative bioinformatics analysis methods, the gene expression profiles and clinical data of 173 patients with ECSA were collected. The mRNA expression levels in ESCA tissue and para-cancerous tissue samples were analyzed using DESeq2, edgeR and limma to screen the differentially expressed genes (DEGs). DEGs-related protein network diagrams were drawn. GO and KEGG function enrichment analysis were performed and the hub genes were screened and the survival analysis of hub genes was analyzed. Genes related to the prognosis of ESCA were selected and their prognostic value in ESCA was analyzed. Finally, the receiver operating characteristic curve was drawn to evaluate its diagnostic value. The results showed that using TCGA cancer data, a total of 620 up-regulated DEGs and 668 down-regulated DEGs with significant differential expression between ESCA and para-cancerous tissues were screened. DEGs were mainly involved in receptor complexes, ubiquitin ligase complexes, etc., playing GTPase activity, phospholipid binding, and other molecular functions, and participating in the regulation of intracellular substance transport, small molecule metabolism, and other biological processes. Protein functional enrichment analysis showed that these proteins were mainly enriched in the IL-17 signaling pathway, TNF signaling pathway, Toll-like receptor signaling pathway, Epstein-Barr virus infection, neutrophil extracellular trap formation, and other pathways involved in the formation and development process of ESCA. Survival analysis showed that the overall survival rate of ESCA patients with high expression of KIF4A, RAD51AP1, and CDKN3 was significantly shortened, and the difference was statistically significant (P<0.05). Furthermore, the areas under the curve (AUC) of KIF4A, RAD51AP1, and CDKN3 for diagnosing esophageal cancer were 0.956, 0.951 and 0.979, respectively, with sensitivities and specificities both exceeding 80%. Additionally, ROC results of the combined diagnostic model of these three genes showed an AUC of 0.979, with sensitivities and specificities of 0.914 and 1, respectively. This indicates that KIF4A, RAD51AP1 and CDKN3 have individual or combined auxiliary diagnostic value for ESCA. In conclusion, KIF4A, RAD51AP1 and CDKN3 have high diagnostic efficiency for ESCA, and their increased expression is closely related to the prognosis, suggesting that these three genes could be used as auxiliary diagnostic and prognostic factors for ESCA.
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Jiang S, Su Y, Liu Y, Zhou Z, Li M, Qiu S, Zhou J. Use of Computed Tomography-Based Texture Analysis to Differentiate Benign From Malignant Salivary Gland Lesions. J Comput Assist Tomogr 2024; 48:491-497. [PMID: 38157266 DOI: 10.1097/rct.0000000000001578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
OBJECTIVE Salivary gland lesions show overlapping morphological findings and types of time/intensity curves. This research aimed to evaluate the role of 2-phase multislice spiral computed tomography (MSCT) texture analysis in differentiating between benign and malignant salivary gland lesions. METHODS In this prospective study, MSCT was carried out on 90 patients. Each lesion was segmented on axial computed tomography (CT) images manually, and 33 texture features and morphological CT features were assessed. Logistic regression analysis was used to confirm predictors of malignancy ( P < 0.05 was considered to be statistically significant), followed by receiver operating characteristics analysis to assess the diagnostic performance. RESULTS Univariate logistic regression analysis revealed that morphological CT features (shape, size, and invasion of adjacent tissues) and 17 CT texture parameters had significant differences between benign and malignant lesions ( P < 0.05). Multivariate binary logistic regression demonstrated that shape, invasion of adjacent tissues, entropy, and inverse difference moment were independent factors for malignant tumors. The diagnostic accuracy values of multivariate binary logistic models based on morphological parameters, CT texture features, and a combination of both were 87.8%, 90%, and 93.3%, respectively. CONCLUSIONS Two-phase MSCT texture analysis was conducive to differentiating between malignant and benign neoplasms in the salivary gland, especially when combined with morphological CT features.
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Acharya S, Adamová D, Aglieri Rinella G, Aglietta L, Agnello M, Agrawal N, Ahammed Z, Ahmad S, Ahn SU, Ahuja I, Akindinov A, Al-Turany M, Aleksandrov D, Alessandro B, Alfanda HM, Alfaro Molina R, Ali B, Alici A, Alizadehvandchali N, Alkin A, Alme J, Alocco G, Alt T, Altamura AR, Altsybeev I, Alvarado JR, Anaam MN, Andrei C, Andreou N, Andronic A, Andronov E, Anguelov V, Antinori F, Antonioli P, Apadula N, Aphecetche L, Appelshäuser H, Arata C, Arcelli S, Aresti M, Arnaldi R, Arneiro JGMCA, Arsene IC, Arslandok M, Augustinus A, Averbeck R, Azmi MD, Baba H, Badalà A, Bae J, Baek YW, Bai X, Bailhache R, Bailung Y, Bala R, Balbino A, Baldisseri A, Balis B, Banerjee D, Banoo Z, Barile F, Barioglio L, Barlou M, Barman B, Barnaföldi GG, Barnby LS, Barreau E, Barret V, Barreto L, Bartels C, Barth K, Bartsch E, Bastid N, Basu S, Batigne G, Battistini D, Batyunya B, Bauri D, Bazo Alba JL, Bearden IG, Beattie C, Becht P, Behera D, Belikov I, Bell Hechavarria ADC, Bellini F, Bellwied R, Belokurova S, Beltran LGE, Beltran YAV, Bencedi G, Beole S, Berdnikov Y, Berdnikova A, Bergmann L, Besoiu MG, Betev L, Bhaduri PP, Bhasin A, Bhat MA, Bhattacharjee B, Bianchi L, Bianchi N, Bielčík J, Bielčíková J, Bigot AP, Bilandzic A, Biro G, Biswas S, Bize N, Blair JT, Blau D, Blidaru MB, Bluhme N, Blume C, Boca G, Bock F, Bodova T, Boi S, Bok J, Boldizsár L, Bombara M, Bond PM, Bonomi G, Borel H, Borissov A, Borquez Carcamo AG, Bossi H, Botta E, Bouziani YEM, Bratrud L, Braun-Munzinger P, Bregant M, Broz M, Bruno GE, Buckland MD, Budnikov D, Buesching H, Bufalino S, Buhler P, Burmasov N, Buthelezi Z, Bylinkin A, Bysiak SA, Cabanillas Noris JC, Cai M, Caines H, Caliva A, Calvo Villar E, Camacho JMM, Camerini P, Canedo FDM, Cantway SL, Carabas M, Carballo AA, Carnesecchi F, Caron R, Carvalho LAD, Castillo Castellanos J, Catalano F, Cattaruzzi S, Ceballos Sanchez C, Cerri R, Chakaberia I, Chakraborty P, Chandra S, Chapeland S, Chartier M, Chattopadhyay S, Chattopadhyay S, Cheng T, Cheshkov C, Chibante Barroso V, Chinellato DD, Chizzali ES, Cho J, Cho S, Chochula P, Choudhury D, Christakoglou P, Christensen CH, Christiansen P, Chujo T, Ciacco M, Cicalo C, Ciupek MR, Clai G, Colamaria F, Colburn JS, Colella D, Colocci M, Concas M, Conesa Balbastre G, Conesa Del Valle Z, Contin G, Contreras JG, Coquet ML, Cortese P, Cosentino MR, Costa F, Costanza S, Cot C, Crkovská J, Crochet P, Cruz-Torres R, Cui P, Dainese A, Danisch MC, Danu A, Das P, Das P, Das S, Dash AR, Dash S, De Caro A, de Cataldo G, de Cuveland J, De Falco A, De Gruttola D, De Marco N, De Martin C, De Pasquale S, Deb R, Del Grande R, Dello Stritto L, Deng W, Dhankher P, Di Bari D, Di Mauro A, Diab B, Diaz RA, Dietel T, Ding Y, Ditzel J, Divià R, Dixit DU, Djuvsland Ø, Dmitrieva U, Dobrin A, Dönigus B, Dubinski JM, Dubla A, Dudi S, Dupieux P, Durkac M, Dzalaiova N, Eder TM, Ehlers RJ, Eisenhut F, Ejima R, Elia D, Erazmus B, Ercolessi F, Espagnon B, Eulisse G, Evans D, Evdokimov S, Fabbietti L, Faggin M, Faivre J, Fan F, Fan W, Fantoni A, Fasel M, Feliciello A, Feofilov G, Fernández Téllez A, Ferrandi L, Ferrer MB, Ferrero A, Ferrero C, Ferretti A, Feuillard VJG, Filova V, Finogeev D, Fionda FM, Flatland E, Flor F, Flores AN, Foertsch S, Fokin I, Fokin S, Fragiacomo E, Frajna E, Fuchs U, Funicello N, Furget C, Furs A, Fusayasu T, Gaardhøje JJ, Gagliardi M, Gago AM, Gahlaut T, Galvan CD, Gangadharan DR, Ganoti P, Garabatos C, García Chávez T, Garcia-Solis E, Gargiulo C, Gasik P, Gautam A, Gay Ducati MB, Germain M, Ghimouz A, Ghosh C, Giacalone M, Gioachin G, Giubellino P, Giubilato P, Glaenzer AMC, Glässel P, Glimos E, Goh DJQ, Gonzalez V, Gordeev P, Gorgon M, Goswami K, Gotovac S, Grabski V, Graczykowski LK, Grecka E, Grelli A, Grigoras C, Grigoriev V, Grigoryan S, Grosa F, Grosse-Oetringhaus JF, Grosso R, Grund D, Grunwald NA, Guardiano GG, Guernane R, Guilbaud M, Gulbrandsen K, Gündem T, Gunji T, Guo W, Gupta A, Gupta R, Gupta R, Gwizdziel K, Gyulai L, Hadjidakis C, Haider FU, Haidlova S, Haldar M, Hamagaki H, Hamdi A, Han Y, Hanley BG, Hannigan R, Hansen J, Harris JW, Harton A, Hartung MV, Hassan H, Hatzifotiadou D, Hauer P, Havener LB, Hellbär E, Helstrup H, Hemmer M, Herman T, Herrera Corral G, Herrmann F, Herrmann S, Hetland KF, Heybeck B, Hillemanns H, Hippolyte B, Hoffmann FW, Hofman B, Hong GH, Horst M, Horzyk A, Hou Y, Hristov P, Huhn P, Huhta LM, Humanic TJ, Hutson A, Hutter D, Hwang MC, Ilkaev R, Ilyas H, Inaba M, Innocenti GM, Ippolitov M, Isakov A, Isidori T, Islam MS, Ivanov M, Ivanov M, Ivanov V, Iversen KE, Jablonski M, Jacak B, Jacazio N, Jacobs PM, Jadlovska S, Jadlovsky J, Jaelani S, Jahnke C, Jakubowska MJ, Janik MA, Janson T, Ji S, Jia S, Jimenez AAP, Jonas F, Jones DM, Jowett JM, Jung J, Jung M, Junique A, Jusko A, Kabus MJ, Kaewjai J, Kalinak P, Kalteyer AS, Kalweit A, Karatovic D, Karavichev O, Karavicheva T, Karczmarczyk P, Karpechev E, Kebschull U, Keidel R, Keijdener DLD, Keil M, Ketzer B, Khade SS, Khan AM, Khan S, Khanzadeev A, Kharlov Y, Khatun A, Khuntia A, Khuranova Z, Kileng B, Kim B, Kim C, Kim DJ, Kim EJ, Kim J, Kim J, Kim J, Kim M, Kim S, Kim T, Kimura K, Kirsch S, Kisel I, Kiselev S, Kisiel A, Kitowski JP, Klay JL, Klein J, Klein S, Klein-Bösing C, Kleiner M, Klemenz T, Kluge A, Kobdaj C, Kollegger T, Kondratyev A, Kondratyeva N, Konig J, Konigstorfer SA, Konopka PJ, Kornakov G, Korwieser M, Koryciak SD, Kotliarov A, Kovacic N, Kovalenko V, Kowalski M, Kozhuharov V, Králik I, Kravčáková A, Krcal L, Krivda M, Krizek F, Krizkova Gajdosova K, Kroesen M, Krüger M, Krupova DM, Kryshen E, Kučera V, Kuhn C, Kuijer PG, Kumaoka T, Kumar D, Kumar L, Kumar N, Kumar S, Kundu S, Kurashvili P, Kurepin A, Kurepin AB, Kuryakin A, Kushpil S, Kuskov V, Kutyla M, Kweon MJ, Kwon Y, La Pointe SL, La Rocca P, Lakrathok A, Lamanna M, Landou AR, Langoy R, Larionov P, Laudi E, Lautner L, Lavicka R, Lea R, Lee H, Legrand I, Legras G, Lehrbach J, Lelek TM, Lemmon RC, León Monzón I, Lesch MM, Lesser ED, Lévai P, Li X, Liang-Gilman BE, Lien J, Lietava R, Likmeta I, Lim B, Lim SH, Lindenstruth V, Lindner A, Lippmann C, Liu DH, Liu J, Liveraro GSS, Lofnes IM, Loizides C, Lokos S, Lömker J, Loncar P, Lopez X, López Torres E, Lu P, Lugo FV, Luhder JR, Lunardon M, Luparello G, Ma YG, Mager M, Maire A, Majerz EM, Makariev MV, Malaev M, Malfattore G, Malik NM, Malik QW, Malik SK, Malinina L, Mallick D, Mallick N, Mandaglio G, Mandal SK, Manko V, Manso F, Manzari V, Mao Y, Marcjan RW, Margagliotti GV, Margotti A, Marín A, Markert C, Martinengo P, Martínez MI, Martínez García G, Martins MPP, Masciocchi S, Masera M, Masoni A, Massacrier L, Massen O, Mastroserio A, Matonoha O, Mattiazzo S, Matyja A, Mayer C, Mazuecos AL, Mazzaschi F, Mazzilli M, Mdhluli JE, Melikyan Y, Menchaca-Rocha A, Mendez JEM, Meninno E, Menon AS, Meres M, Miake Y, Micheletti L, Mihaylov DL, Mikhaylov K, Miśkowiec D, Modak A, Mohanty B, Khan MM, Molander MA, Monira S, Mordasini C, Moreira De Godoy DA, Morozov I, Morsch A, Mrnjavac T, Muccifora V, Muhuri S, Mulligan JD, Mulliri A, Munhoz MG, Munzer RH, Murakami H, Murray S, Musa L, Musinsky J, Myrcha JW, Naik B, Nambrath AI, Nandi BK, Nania R, Nappi E, Nassirpour AF, Nath A, Nattrass C, Naydenov MN, Neagu A, Negru A, Nekrasova E, Nellen L, Nepeivoda R, Nese S, Neskovic G, Nicassio N, Nielsen BS, Nielsen EG, Nikolaev S, Nikulin S, Nikulin V, Noferini F, Noh S, Nomokonov P, Norman J, Novitzky N, Nowakowski P, Nyanin A, Nystrand J, Oh S, Ohlson A, Okorokov VA, Oleniacz J, Onnerstad A, Oppedisano C, Ortiz Velasquez A, Otwinowski J, Oya M, Oyama K, Pachmayer Y, Padhan S, Pagano D, Paić G, Paisano-Guzmán S, Palasciano A, Panebianco S, Park H, Park H, Park J, Parkkila JE, Patley Y, Paul B, Paulino MMDM, Pei H, Peitzmann T, Peng X, Pennisi M, Perciballi S, Peresunko D, Perez GM, Pestov Y, Petrov V, Petrovici M, Pezzi RP, Piano S, Pikna M, Pillot P, Pinazza O, Pinsky L, Pinto C, Pisano S, Płoskoń M, Planinic M, Pliquett F, Poghosyan MG, Polichtchouk B, Politano S, Poljak N, Pop A, Porteboeuf-Houssais S, Pozdniakov V, Pozos IY, Pradhan KK, Prasad SK, Prasad S, Preghenella R, Prino F, Pruneau CA, Pshenichnov I, Puccio M, Pucillo S, Pugelova Z, Qiu S, Quaglia L, Ragoni S, Rai A, Rakotozafindrabe A, Ramello L, Rami F, Rancien TA, Rasa M, Räsänen SS, Rath R, Rauch MP, Ravasenga I, Read KF, Reckziegel C, Redelbach AR, Redlich K, Reetz CA, Regules-Medel HD, Rehman A, Reidt F, Reme-Ness HA, Rescakova Z, Reygers K, Riabov A, Riabov V, Ricci R, Richter M, Riedel AA, Riegler W, Riffero AG, Ristea C, Rodriguez MV, Rodríguez Cahuantzi M, Rodríguez Ramírez SA, Røed K, Rogalev R, Rogochaya E, Rogoschinski TS, Rohr D, Röhrich D, Rojas PF, Rojas Torres S, Rokita PS, Romanenko G, Ronchetti F, Rosano A, Rosas ED, Roslon K, Rossi A, Roy A, Roy S, Rubini N, Ruggiano D, Rui R, Russek PG, Russo R, Rustamov A, Ryabinkin E, Ryabov Y, Rybicki A, Rytkonen H, Ryu J, Rzesa W, Saarimaki OAM, Sadhu S, Sadovsky S, Saetre J, Šafařík K, Saha P, Saha SK, Saha S, Sahoo B, Sahoo R, Sahoo S, Sahu D, Sahu PK, Saini J, Sajdakova K, Sakai S, Salvan MP, Sambyal S, Samitz D, Sanna I, Saramela TB, Sarkar D, Sarma P, Sarritzu V, Sarti VM, Sas MHP, Sawan S, Scapparone E, Schambach J, Scheid HS, Schiaua C, Schicker R, Schlepper F, Schmah A, Schmidt C, Schmidt HR, Schmidt MO, Schmidt M, Schmidt NV, Schmier AR, Schotter R, Schröter A, Schukraft J, Schweda K, Scioli G, Scomparin E, Seger JE, Sekiguchi Y, Sekihata D, Selina M, Selyuzhenkov I, Senyukov S, Seo JJ, Serebryakov D, Serkin L, Šerkšnytė L, Sevcenco A, Shaba TJ, Shabetai A, Shahoyan R, Shangaraev A, Sharma B, Sharma D, Sharma H, Sharma M, Sharma S, Sharma S, Sharma U, Shatat A, Sheibani O, Shigaki K, Shimomura M, Shin J, Shirinkin S, Shou Q, Sibiriak Y, Siddhanta S, Siemiarczuk T, Silva TF, Silvermyr D, Simantathammakul T, Simeonov R, Singh B, Singh B, Singh K, Singh R, Singh R, Singh R, Singh S, Singh VK, Singhal V, Sinha T, Sitar B, Sitta M, Skaali TB, Skorodumovs G, Slupecki M, Smirnov N, Snellings RJM, Solheim EH, Song J, Sonnabend C, Sonneveld JM, Soramel F, Soto-Hernandez AB, Spijkers R, Sputowska I, Staa J, Stachel J, Stan I, Steffanic PJ, Stiefelmaier SF, Stocco D, Storehaug I, Stratmann P, Strazzi S, Sturniolo A, Stylianidis CP, Suaide AAP, Suire C, Sukhanov M, Suljic M, Sultanov R, Sumberia V, Sumowidagdo S, Szarka I, Szymkowski M, Taghavi SF, Taillepied G, Takahashi J, Tambave GJ, Tang S, Tang Z, Tapia Takaki JD, Tapus N, Tarasovicova LA, Tarzila MG, Tassielli GF, Tauro A, Tavira García A, Tejeda Muñoz G, Telesca A, Terlizzi L, Terrevoli C, Thakur S, Thomas D, Tikhonov A, Tiltmann N, Timmins AR, Tkacik M, Tkacik T, Toia A, Tokumoto R, Tomohiro K, Topilskaya N, Toppi M, Tork T, Torres PV, Torres VV, Torres Ramos AG, Trifiró A, Triolo AS, Tripathy S, Tripathy T, Trogolo S, Trubnikov V, Trzaska WH, Trzcinski TP, Tumkin A, Turrisi R, Tveter TS, Ullaland K, Ulukutlu B, Uras A, Urioni M, Usai GL, Vala M, Valle N, van Doremalen LVR, van Leeuwen M, van Veen CA, van Weelden RJG, Vande Vyvre P, Varga D, Varga Z, Vasileiou M, Vasiliev A, Vázquez Doce O, Vazquez Rueda O, Vechernin V, Vercellin E, Vergara Limón S, Verma R, Vermunt L, Vértesi R, Verweij M, Vickovic L, Vilakazi Z, Villalobos Baillie O, Villani A, Vinogradov A, Virgili T, Virta MMO, Vislavicius V, Vodopyanov A, Volkel B, Völkl MA, Voloshin SA, Volpe G, von Haller B, Vorobyev I, Vozniuk N, Vrláková J, Wan J, Wang C, Wang D, Wang Y, Wang Y, Wegrzynek A, Weiglhofer FT, Wenzel SC, Wessels JP, Wiechula J, Wikne J, Wilk G, Wilkinson J, Willems GA, Windelband B, Winn M, Wright JR, Wu W, Wu Y, Xu R, Yadav A, Yadav AK, Yamaguchi Y, Yang S, Yano S, Yeats ER, Yin Z, Yoo IK, Yoon JH, Yu H, Yuan S, Yuncu A, Zaccolo V, Zampolli C, Zanone F, Zardoshti N, Zarochentsev A, Závada P, Zaviyalov N, Zhalov M, Zhang B, Zhang C, Zhang L, Zhang S, Zhang X, Zhang Y, Zhang Z, Zhao M, Zherebchevskii V, Zhi Y, Zhong C, Zhou D, Zhou Y, Zhu J, Zhu Y, Zugravel SC, Zurlo N. Emergence of Long-Range Angular Correlations in Low-Multiplicity Proton-Proton Collisions. PHYSICAL REVIEW LETTERS 2024; 132:172302. [PMID: 38728735 DOI: 10.1103/physrevlett.132.172302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 02/22/2024] [Accepted: 03/22/2024] [Indexed: 05/12/2024]
Abstract
This Letter presents the measurement of near-side associated per-trigger yields, denoted ridge yields, from the analysis of angular correlations of charged hadrons in proton-proton collisions at sqrt[s]=13 TeV. Long-range ridge yields are extracted for pairs of charged particles with a pseudorapidity difference of 1.4<|Δη|<1.8 and a transverse momentum of 1
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Guo Y, Lu R, Ou Y, Huang Y, Li J, Cui Y, Li D, Zheng Y, Liang X, Qiu S, Liu Y. A study on the association between prefrontal functional connectivity and non-suicidal self-injury in adolescents with depression. Front Neurol 2024; 15:1382136. [PMID: 38711563 PMCID: PMC11070463 DOI: 10.3389/fneur.2024.1382136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 04/08/2024] [Indexed: 05/08/2024] Open
Abstract
Objective Among adolescents with depression, the occurrence of non-suicidal self-injury (NSSI) behavior is prevalent, constituting a high-risk factor for suicide. However, there has been limited research on the neuroimaging mechanisms underlying adolescent depression and NSSI behavior, and the potential association between the two remains unclear. Therefore, this study aims to investigate the alterations in functional connectivity (FC) of the regions in the prefrontal cortex with the whole brain, and elucidates the relationship between these alterations and NSSI behavior in adolescents with depression. Methods A total of 68 participants were included in this study, including 35 adolescents with depression and 33 healthy controls. All participants underwent assessments using the 17-item Hamilton Depression Rating Scale (17-HAMD) and the Ottawa Self-Harm Inventory. In addition, functional magnetic resonance imaging (fMRI) data of the participants' brains were collected. Subsequently, the FCs of the regions in the prefrontal cortex with the whole brain was calculated. The FCs showing significant differences were then subjected to correlation analyses with 17-HAMD scores and NSSI behavior scores. Result Compared to the healthy control group, the adolescent depression group exhibited decreased FCs in several regions, including the right frontal eye field, left dorsolateral prefrontal cortex, right orbitofrontal cortex, left insula and right anterior cingulate coetex. The 17-HAMD score was positively correlated with the frequency of NSSI behavior within 1 year (rs = 0.461, p = 0.005). The FC between the right anterior cingulate cortex and the right precuneus showed a negative correlation with the 17-HAMD scores (rs = -0.401, p = 0.023). Additionally, the FC between the right orbitofrontal cortex and the right insula, demonstrated a negative correlation with the frequency of NSSI behavior within 1 year (rs = -0.438, p = 0.012, respectively). Conclusion Adolescents with depression showed decreased FCs of the prefrontal cortex with multiple brain regions, and some of these FCs were associated with the NSSI frequency within 1 year. This study provided neuroimaging evidence for the neurophysiological mechanisms underlying adolescent depression and its comorbidity with NSSI behavior.
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MR, Harris JW, Harton A, Hassan H, Hatzifotiadou D, Hauer P, Havener LB, Heckel ST, Hellbär E, Helstrup H, Hemmer M, Herman T, Herrera Corral G, Herrmann F, Herrmann S, Hetland KF, Heybeck B, Hillemanns H, Hippolyte B, Hoffmann FW, Hofman B, Hohlweger B, Hong GH, Horst M, Horzyk A, Hou Y, Hristov P, Hughes C, Huhn P, Huhta LM, Humanic TJ, Hutson A, Hutter D, Ilkaev R, Ilyas H, Inaba M, Innocenti GM, Ippolitov M, Isakov A, Isidori T, Islam MS, Ivanov M, Ivanov M, Ivanov V, Iversen KE, Jablonski M, Jacak B, Jacazio N, Jacobs PM, Jadlovska S, Jadlovsky J, Jaelani S, Jahnke C, Jakubowska MJ, Janik MA, Janson T, Jercic M, Ji S, Jia S, Jimenez AAP, Jonas F, Jones DM, Jowett JM, Jung J, Jung M, Junique A, Jusko A, Kabus MJ, Kaewjai J, Kalinak P, Kalteyer AS, Kalweit A, Kaplin V, Karasu Uysal A, Karatovic D, Karavichev O, Karavicheva T, Karczmarczyk P, Karpechev E, Kebschull U, Keidel R, Keijdener DLD, Keil M, Ketzer B, Khade SS, Khan AM, Khan S, Khanzadeev A, Kharlov Y, Khatun A, Khuntia A, Kidson MB, Kileng B, Kim B, Kim C, Kim DJ, Kim EJ, Kim J, Kim JS, Kim J, Kim J, Kim M, Kim S, Kim T, Kimura K, Kirsch S, Kisel I, Kiselev S, Kisiel A, Kitowski JP, Klay JL, Klein J, Klein S, Klein-Bösing C, Kleiner M, Klemenz T, Kluge A, Knospe AG, Kobdaj C, Kollegger T, Kondratyev A, Kondratyeva N, Kondratyuk E, Konig J, Konigstorfer SA, Konopka PJ, Kornakov G, Korwieser M, Koryciak SD, Kotliarov A, Kovalenko V, Kowalski M, Kozhuharov V, Králik I, Kravčáková A, Krcal L, Krivda M, Krizek F, Krizkova Gajdosova K, Kroesen M, Krüger M, Krupova DM, Kryshen E, Kučera V, Kuhn C, Kuijer PG, Kumaoka T, Kumar D, Kumar L, Kumar N, Kumar S, Kundu S, Kurashvili P, Kurepin A, Kurepin AB, Kuryakin A, Kushpil S, Kweon MJ, Kwon Y, La Pointe SL, La Rocca P, Lakrathok A, Lamanna M, Landou AR, Langoy R, Larionov P, Laudi E, Lautner L, Lavicka R, Lea R, Lee H, Legrand I, Legras G, Lehrbach J, Lelek TM, Lemmon RC, León Monzón I, Lesch MM, Lesser ED, Lévai P, Li X, Li XL, Lien J, Lietava R, Likmeta I, Lim 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Morsch A, Mrnjavac T, Muccifora V, Muhuri S, Mulligan JD, Mulliri A, Munhoz MG, Munzer RH, Murakami H, Murray S, Musa L, Musinsky J, Myrcha JW, Naik B, Nambrath AI, Nandi BK, Nania R, Nappi E, Nassirpour AF, Nath A, Nattrass C, Naydenov MN, Neagu A, Negru A, Nellen L, Nepeivoda R, Nese S, Neskovic G, Nielsen BS, Nielsen EG, Nikolaev S, Nikulin S, Nikulin V, Noferini F, Noh S, Nomokonov P, Norman J, Novitzky N, Nowakowski P, Nyanin A, Nystrand J, Ogino M, Oh S, Ohlson A, Okorokov VA, Oleniacz J, Oliveira Da Silva AC, Oliver MH, Onnerstad A, Oppedisano C, Ortiz Velasquez A, Otwinowski J, Oya M, Oyama K, Pachmayer Y, Padhan S, Pagano D, Paić G, Paisano-Guzmán S, Palasciano A, Panebianco S, Park H, Park H, Park J, Parkkila JE, Patley Y, Patra RN, Paul B, Pei H, Peitzmann T, Peng X, Pennisi M, Peresunko D, Perez GM, Pestov Y, Petrov V, Petrovici M, Pezzi RP, Piano S, Pikna M, Pillot P, Pinazza O, Pinsky L, Pinto C, Pisano S, Płoskoń M, Planinic M, Pliquett F, Poghosyan MG, Polichtchouk B, Politano S, Poljak N, Pop A, Porteboeuf-Houssais S, Pozdniakov V, Pozos IY, Pradhan KK, Prasad SK, Prasad S, Preghenella R, Prino F, Pruneau CA, Pshenichnov I, Puccio M, Pucillo S, Pugelova Z, Qiu S, Quaglia L, Quishpe RE, Ragoni S, Rakotozafindrabe A, Ramello L, Rami F, Rancien TA, Rasa M, Räsänen SS, Rath R, Rauch MP, Ravasenga I, Read KF, Reckziegel C, Redelbach AR, Redlich K, Reetz CA, Regules-Medel HD, Rehman A, Reidt F, Reme-Ness HA, Rescakova Z, Reygers K, Riabov A, Riabov V, Ricci R, Richter M, Riedel AA, Riegler W, Ristea C, Rodriguez MV, Rodríguez Cahuantzi M, Rodríguez Ramírez SA, Røed K, Rogalev R, Rogochaya E, Rogoschinski TS, Rohr D, Röhrich D, Rojas PF, Rojas Torres S, Rokita PS, Romanenko G, Ronchetti F, Rosano A, Rosas ED, Roslon K, Rossi A, Roy A, Roy S, Rubini N, Ruggiano D, Rui R, Russek PG, Russo R, Rustamov A, Ryabinkin E, Ryabov Y, Rybicki A, Rytkonen H, Ryu J, Rzesa W, Saarimaki OAM, Sadek R, Sadhu S, Sadovsky S, Saetre J, Šafařík K, Saha P, Saha SK, Saha S, Sahoo B, Sahoo B, Sahoo R, Sahoo S, Sahu D, Sahu PK, Saini J, Sajdakova K, Sakai S, Salvan MP, Sambyal S, Sanna I, Saramela TB, Sarkar D, Sarkar N, Sarma P, Sarritzu V, Sarti VM, Sas MHP, Schambach J, Scheid HS, Schiaua C, Schicker R, Schmah A, Schmidt C, Schmidt HR, Schmidt MO, Schmidt M, Schmidt NV, Schmier AR, Schotter R, Schröter A, Schukraft J, Schweda K, Scioli G, Scomparin E, Seger JE, Sekiguchi Y, Sekihata D, Selina M, Selyuzhenkov I, Senyukov S, Seo JJ, Serebryakov D, Šerkšnytė L, Sevcenco A, Shaba TJ, Shabetai A, Shahoyan R, Shangaraev A, Sharma A, Sharma B, Sharma D, Sharma H, Sharma M, Sharma S, Sharma S, Sharma U, Shatat A, Sheibani O, Shigaki K, Shimomura M, Shin J, Shirinkin S, Shou Q, Sibiriak Y, Siddhanta S, Siemiarczuk T, Silva TF, Silvermyr D, Simantathammakul T, Simeonov R, Singh B, Singh B, Singh K, Singh R, Singh R, Singh R, Singh S, Singh VK, Singhal V, Sinha T, Sitar B, Sitta M, Skaali TB, Skorodumovs G, Slupecki M, Smirnov N, Snellings RJM, Solheim EH, Song J, Songmoolnak A, Sonnabend C, Soramel F, Soto-Hernandez AB, Spijkers R, Sputowska I, Staa J, Stachel J, Stan I, Steffanic PJ, Stiefelmaier SF, Stocco D, Storehaug I, Stratmann P, Strazzi S, Stylianidis CP, Suaide AAP, Suire C, Sukhanov M, Suljic M, Sultanov R, Sumberia V, Sumowidagdo S, Swain S, Szarka I, Szymkowski M, Taghavi SF, Taillepied G, Takahashi J, Tambave GJ, Tang S, Tang Z, Tapia Takaki JD, Tapus N, Tarasovicova LA, Tarzila MG, Tassielli GF, Tauro A, Tejeda Muñoz G, Telesca A, Terlizzi L, Terrevoli C, Thakur S, Thomas D, Tikhonov A, Timmins AR, Tkacik M, Tkacik T, Toia A, Tokumoto R, Tomohiro K, Topilskaya N, Toppi M, Tork T, Torres VV, Torres Ramos AG, Trifiró A, Triolo AS, Tripathy S, Tripathy T, Trogolo S, Trubnikov V, Trzaska WH, Trzcinski TP, Tumkin A, Turrisi R, Tveter TS, Ullaland K, Ulukutlu B, Uras A, Urioni M, Usai GL, Vala M, Valle N, van Doremalen LVR, van Leeuwen M, van Veen CA, van Weelden RJG, Vande Vyvre P, Varga D, Varga Z, Vasileiou M, Vasiliev A, Vázquez Doce O, Vazquez Rueda O, Vechernin V, Vercellin E, Vergara Limón S, Verma R, Vermunt L, Vértesi R, Verweij M, Vickovic L, Vilakazi Z, Villalobos Baillie O, Villani A, Vino G, Vinogradov A, Virgili T, Virta MMO, Vislavicius V, Vodopyanov A, Volkel B, Völkl MA, Voloshin K, Voloshin SA, Volpe G, von Haller B, Vorobyev I, Vozniuk N, Vrláková J, Wan J, Wang C, Wang D, Wang Y, Wang Y, Wegrzynek A, Weiglhofer FT, Wenzel SC, Wessels JP, Wiechula J, Wikne J, Wilk G, Wilkinson J, Willems GA, Windelband B, Winn M, Wright JR, Wu W, Wu Y, Xu R, Yadav A, Yadav AK, Yalcin S, Yamaguchi Y, Yang S, Yano S, Yin Z, Yoo IK, Yoon JH, Yu H, Yuan S, Yuncu A, Zaccolo V, Zampolli C, Zanone F, Zardoshti N, Zarochentsev A, Závada P, Zaviyalov N, Zhalov M, Zhang B, Zhang C, Zhang L, Zhang S, Zhang X, Zhang Y, Zhang Z, Zhao M, Zherebchevskii V, Zhi Y, Zhou D, Zhou Y, Zhu J, Zhu Y, Zugravel SC, Zurlo N. First Measurement of the |t| Dependence of Incoherent J/ψ Photonuclear Production. PHYSICAL REVIEW LETTERS 2024; 132:162302. [PMID: 38701458 DOI: 10.1103/physrevlett.132.162302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 11/22/2023] [Accepted: 01/23/2024] [Indexed: 05/05/2024]
Abstract
The first measurement of the cross section for incoherent photonuclear production of J/ψ vector mesons as a function of the Mandelstam |t| variable is presented. The measurement was carried out with the ALICE detector at midrapidity, |y|<0.8, using ultraperipheral collisions of Pb nuclei at a center-of-mass energy per nucleon pair of sqrt[s_{NN}]=5.02 TeV. This rapidity interval corresponds to a Bjorken-x range (0.3-1.4)×10^{-3}. Cross sections are given in five |t| intervals in the range 0.04<|t|<1 GeV^{2} and compared to the predictions by different models. Models that ignore quantum fluctuations of the gluon density in the colliding hadron predict a |t| dependence of the cross section much steeper than in data. The inclusion of such fluctuations in the same models provides a better description of the data.
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Wang X, Yuan S, Wang C, Yan W, Xie G, Wang C, Qiu S, Wu J, Deng XW, Xu C, Tang X. Construction of a Female Sterility Maintaining System Based on a Novel Mutation of the MEL2 Gene. RICE (NEW YORK, N.Y.) 2024; 17:12. [PMID: 38310612 PMCID: PMC10838886 DOI: 10.1186/s12284-024-00688-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Accepted: 01/19/2024] [Indexed: 02/06/2024]
Abstract
BACKGROUND Hybrid rice has significant yield advantage and stress tolerance compared with inbred rice. However, production of hybrid rice seeds requires extensive manual labors. Currently, hybrid rice seeds are produced by crosspollination of male sterile lines by fertile paternal lines. Because seeds from paternal lines can contaminate the hybrid seeds, mechanized production by mixed-seeding and mixed-harvesting is difficult. This problem can be solved if the paternal line is female sterile. RESULTS Here we identified a female infertile mutant named h569 carrying a novel mutation (A1106G) in the MEL2 gene that was previously reported to regulate meiosis entry both in male and female organs. h569 mutant is female infertile but male normal, suggesting that MEL2 regulates meiosis entry in male and female organs through distinct pathways. The MEL2 gene and h569 mutant gave us tools to construct female sterility maintaining systems that can be used for propagation of female sterile lines. We connected the wild-type MEL2 gene with pollen-killer gene ZmAA1 and seed-marker gene DsRed2 in one T-DNA cassette and transformed it into ZZH1607, a widely used restorer line. Transgenic line carrying a single transgene inserted in an intergenic region was selected to cross with h569 mutant. F2 progeny carrying homozygous A1106G mutation and hemizygous transgene displayed 1:1 segregation of fertile and infertile pollen grains and 1:1 segregation of fluorescent and non-fluorescent seeds upon self-fertilization. All of the non-fluorescent seeds generated female infertile plants, while the fluorescent seeds generated fertile plants that reproduced in the way as their previous generation. CONCLUSIONS These results indicated that the female sterility maintaining system constructed in the study can be used to breed and propagate paternal lines that are female infertile. The application of this system will enable mechanized production of hybrid rice seed by using the mixed-seeding and mixed harvesting approach, which will significantly reduce the cost in hybrid rice seed production.
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Liao XY, Bao YG, Liu ZH, Yang L, Qiu S, Liu LR, Han P, Wei Q. [Functional outcomes of robot-assisted radical prostatectomy with preservation of pelvic stabilized structure and early elevated retrograde liberation of neurovascular bundle]. ZHONGHUA WAI KE ZA ZHI [CHINESE JOURNAL OF SURGERY] 2024; 62:128-134. [PMID: 38310380 DOI: 10.3760/cma.j.cn112139-20230718-00014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/05/2024]
Abstract
Objectives: To examine the functional outcomes of robot-assisted radical prostatectomy (RARP) with preservation of pelvic floor stabilized structure and early elevated retrograde liberation of the neurovascular bundle (PEEL). Methods: This study was a retrospective cohort study. Between June 1, 2022, and March 20, 2023, 27 cases of RARP with PEEL and 153 cases of RARP with preservation of pelvic floor stabilized structure (PPSS) were included in this study. All patients were males, aged (62.5±5.2) years (range: 50 to 73 years). There were 18 cases of ≤T2b stage and 9 cases of T2c stage. After 1∶1 propensity score matching, the postoperative functional outcomes of 27 cases of RARP with PEEL and 27 cases of RARP with PPSS were compared. All surgeries were performed by a single surgeon and included patients were clinically staged as cT1-2N0M0 without preoperative urinary incontinence or erectile dysfunction. In RARP with PEEL, the prostate was cut near the midline at the front when dissecting the neurovascular bundle, dissection was performed between the visceral layer of the pelvic fascia and the prostatic fascia, preserving the parietal layer and the visceral layer of the pelvic fascia, and the neurovascular bundle was retrogradely released from the apex. The cumulative probability curve was plotted using the Kaplan-Meier method and the Log-rank test was used to compare the differences in functional outcomes between the two groups. Univariate and multivariate analysis with the Cox proportional hazards model was used to compare postoperative urinary continence and sexual function. Results: The recovery time of continence and potency was significantly longer in the PPSS group than in the PEEL group (all P<0.05). The continence rate of the PEEL group was significantly higher than that of the PPSS group (92.59% vs. 68.10%, P=0.026) at 3 months after surgery. The potency rate of the PEEL group was also significantly higher than that of the PPSS group (40.70% vs. 15.10%, P=0.037) at 3 months after surgery. In the univariate analysis, compared to the PPSS technique, the PEEL technique was associated with a shorter recovery time of continence (HR=1.94, 95%CI: 1.08 to 3.48, P=0.027) and a shorter recovery time of potency (HR=2.06, 95%CI: 1.03 to 4.13, P=0.042). In the multivariate analysis, the PEEL technique was an independent prognosis factor for postoperative recovery of continence (HR=2.05, 95%CI: 1.01 to 4.17, P=0.047) and potency (HR=3.57, 95%CI: 1.43 to 8.92, P=0.007). All the cases of the PPSS group and the PEEL group were performed successfully with negative surgical margins. Conclusion: Compared with PPSS, PEEL may be more conducive to the recovery of urinary continence and sexual function after RARP.
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Acharya S, Adamová D, Adler A, Aglieri Rinella G, Agnello M, Agrawal N, Ahammed Z, Ahmad S, Ahn SU, Ahuja I, Akindinov A, Al-Turany M, Aleksandrov D, Alessandro B, Alfanda HM, Alfaro Molina R, Ali B, Alici A, Alizadehvandchali N, Alkin A, Alme J, Alocco G, Alt T, Altsybeev I, Anaam MN, Andrei C, Andronic A, Anguelov V, Antinori F, Antonioli P, Apadula N, Aphecetche L, Appelshäuser H, Arata C, Arcelli S, Aresti M, Arnaldi R, Arsene IC, Arslandok M, Augustinus A, Averbeck R, Azmi MD, Badalà A, Bae J, Baek YW, Bai X, Bailhache R, Bailung Y, Balbino A, Baldisseri A, Balis B, Banerjee D, Banoo Z, Barbera R, Barile F, Barioglio L, Barlou M, Barnaföldi GG, Barnby LS, Barret V, Barreto L, Bartels C, Barth K, Bartsch E, Baruffaldi F, Bastid N, Basu S, Batigne G, Battistini D, Batyunya B, Bauri D, Bazo Alba JL, Bearden IG, Beattie C, Becht P, Behera D, Belikov I, Bell Hechavarria ADC, Bellini F, Bellwied R, Belokurova S, Belyaev V, Bencedi G, Beole S, Bercuci A, Berdnikov Y, Berdnikova A, Bergmann L, Besoiu MG, Betev L, Bhaduri PP, Bhasin A, Bhat MA, Bhattacharjee B, Bianchi L, Bianchi N, Bielčík J, Bielčíková J, Biernat J, Bigot AP, Bilandzic A, Biro G, Biswas S, Bize N, Blair JT, Blau D, Blidaru MB, Bluhme N, Blume C, Boca G, Bock F, Bodova T, Bogdanov A, Boi S, Bok J, Boldizsár L, Bolozdynya A, Bombara M, Bond PM, Bonomi G, Borel H, Borissov A, Borquez Carcamo AG, Bossi H, Botta E, Bouziani YEM, Bratrud L, Braun-Munzinger P, Bregant M, Broz M, Bruno GE, Budnikov D, Buesching H, Bufalino S, Bugnon O, Buhler P, Buthelezi Z, Bysiak SA, Cai M, Caines H, Caliva A, Calvo Villar E, Camacho JMM, Camerini P, Canedo FDM, Carabas M, Carballo AA, Carnesecchi F, Caron R, Castillo Castellanos J, Catalano F, Ceballos Sanchez C, Chakaberia I, Chakraborty P, Chandra S, Chapeland S, Chartier M, Chattopadhyay S, Chattopadhyay S, Chavez TG, Cheng T, Cheshkov C, Cheynis B, Chibante Barroso V, Chinellato DD, Chizzali ES, Cho J, Cho S, Chochula P, Christakoglou P, Christensen CH, Christiansen P, Chujo T, Ciacco M, Cicalo C, Cindolo F, Ciupek MR, Clai G, Colamaria F, Colburn JS, Colella D, Colocci M, Concas M, Conesa Balbastre G, Conesa Del Valle Z, Contin G, Contreras JG, Coquet ML, Cormier TM, Cortese P, Cosentino MR, Costa F, Costanza S, Crkovská J, Crochet P, Cruz-Torres R, Cuautle E, Cui P, Dainese A, Danisch MC, Danu A, Das P, Das P, Das S, Dash AR, Dash S, De Caro A, de Cataldo G, de Cuveland J, De Falco A, De Gruttola D, De Marco N, De Martin C, De Pasquale S, Deb S, Debski RJ, Deja KR, Del Grande R, Dello Stritto L, Deng W, Dhankher P, Di Bari D, Di Mauro A, Diaz RA, Dietel T, Ding Y, Divià R, Dixit DU, Djuvsland Ø, Dmitrieva U, Dobrin A, Dönigus B, Dubinski JM, Dubla A, Dudi S, Dupieux P, Durkac M, Dzalaiova N, Eder TM, Ehlers RJ, Eikeland VN, Eisenhut F, Elia D, Erazmus B, Ercolessi F, Erhardt F, Ersdal MR, Espagnon B, Eulisse G, Evans D, Evdokimov S, Fabbietti L, Faggin M, Faivre J, Fan F, Fan W, Fantoni A, Fasel M, Fecchio P, Feliciello A, Feofilov G, Fernández Téllez A, Ferrandi L, Ferrer MB, Ferrero A, Ferrero C, Ferretti A, Feuillard VJG, Filova V, Finogeev D, Fionda FM, Flor F, Flores AN, Foertsch S, Fokin I, Fokin S, Fragiacomo E, Frajna E, Fuchs U, Funicello N, Furget C, Furs A, Fusayasu T, Gaardhøje JJ, Gagliardi M, Gago AM, Galvan CD, Gangadharan DR, Ganoti P, Garabatos C, Garcia JRA, Garcia-Solis E, Garg K, Gargiulo C, Garibli A, Garner K, Gasik P, Gautam A, Gay Ducati MB, Germain M, Ghosh C, Giacalone M, Giubellino P, Giubilato P, Glaenzer AMC, Glässel P, Glimos E, Goh DJQ, Gonzalez V, González-Trueba LH, Gorgon M, Gotovac S, Grabski V, Graczykowski LK, Grecka E, Grelli A, Grigoras C, Grigoriev V, Grigoryan S, Grosa F, Grosse-Oetringhaus JF, Grosso R, Grund D, Guardiano GG, Guernane R, Guilbaud M, Gulbrandsen K, Gundem T, Gunji T, Guo W, Gupta A, Gupta R, Guzman SP, Gyulai L, Habib MK, Hadjidakis C, Haider FU, Hamagaki H, Hamdi A, Hamid M, Han Y, Hannigan R, Haque MR, Harris JW, Harton A, Hassan H, Hatzifotiadou D, Hauer P, Havener LB, Heckel ST, Hellbär E, Helstrup H, Hemmer M, Herman T, Herrera Corral G, Herrmann F, Herrmann S, Hetland KF, Heybeck B, Hillemanns H, Hills C, Hippolyte B, Hofman B, Hohlweger B, Hong GH, Horst M, Horzyk A, Hosokawa R, Hou Y, Hristov P, Hughes C, Huhn P, Huhta LM, Hulse CV, Humanic TJ, Hushnud H, Hutson A, Hutter D, Iddon JP, Ilkaev R, Ilyas H, Inaba M, Innocenti GM, Ippolitov M, Isakov A, Isidori T, Islam MS, Ivanov M, Ivanov M, Ivanov V, Jablonski M, Jacak B, Jacazio N, Jacobs PM, Jadlovska S, Jadlovsky J, Jaelani S, Jaffe L, Jahnke C, Jakubowska MJ, Janik MA, Janson T, Jercic M, Jia S, Jimenez AAP, Jonas F, Jowett JM, Jung J, Jung M, Junique A, Jusko A, Kabus MJ, Kaewjai J, Kalinak P, Kalteyer AS, Kalweit A, Kaplin V, Karasu Uysal A, Karatovic D, Karavichev O, Karavicheva T, Karczmarczyk P, Karpechev E, Kebschull U, Keidel R, Keijdener DLD, Keil M, Ketzer B, Khan AM, Khan S, Khanzadeev A, Kharlov Y, Khatun A, Khuntia A, Kidson MB, Kileng B, Kim B, Kim C, Kim DJ, Kim EJ, Kim J, Kim JS, Kim J, Kim J, Kim M, Kim S, Kim T, Kimura K, Kirsch S, Kisel I, Kiselev S, Kisiel A, Kitowski JP, Klay JL, Klein J, Klein S, Klein-Bösing C, Kleiner M, Klemenz T, Kluge A, Knospe AG, Kobdaj C, Kollegger T, Kondratyev A, Kondratyuk E, Konig J, Konigstorfer SA, Konopka PJ, Kornakov G, Koryciak SD, Kotliarov A, Kovalenko V, Kowalski M, Kozhuharov V, Králik I, Kravčáková A, Kreis L, Krivda M, Krizek F, Krizkova Gajdosova K, Kroesen M, Krüger M, Krupova DM, Kryshen E, Kučera V, Kuhn C, Kuijer PG, Kumaoka T, Kumar D, Kumar L, Kumar N, Kumar S, Kundu S, Kurashvili P, Kurepin A, Kurepin AB, Kuryakin A, Kushpil S, Kvapil J, Kweon MJ, Kwon JY, Kwon Y, La Pointe SL, La Rocca P, Lai YS, Lakrathok A, Lamanna M, Langoy R, Larionov P, Laudi E, Lautner L, Lavicka R, Lazareva T, Lea R, Lee H, Legras G, Lehrbach J, Lemmon RC, León Monzón I, Lesch MM, Lesser ED, Lettrich M, Lévai P, Li X, Li XL, Lien J, Lietava R, Lim B, Lim SH, Lindenstruth V, Lindner A, Lippmann C, Liu A, Liu DH, Liu J, Lofnes IM, Loizides C, Lokos S, Loncar P, Lopez JA, Lopez X, López Torres E, Lu P, Luhder JR, Lunardon M, Luparello G, Ma YG, Maevskaya A, Mager M, Mahmoud T, Maire A, Makariev MV, Malaev M, Malfattore G, Malik NM, Malik QW, Malik SK, Malinina L, Mal'Kevich D, Mallick D, Mallick N, Mandaglio G, Manko V, Manso F, Manzari V, Mao Y, Margagliotti GV, Margotti A, Marín A, Markert C, Martinengo P, Martinez JL, Martínez MI, Martínez García G, Masciocchi S, Masera M, Masoni A, Massacrier L, Mastroserio A, Mathis AM, Matonoha O, Matuoka PFT, Matyja A, Mayer C, Mazuecos AL, Mazzaschi F, Mazzilli M, Mdhluli JE, Mechler AF, Melikyan Y, Menchaca-Rocha A, Meninno E, Menon AS, Meres M, Mhlanga S, Miake Y, Micheletti L, Migliorin LC, Mihaylov DL, Mikhaylov K, Mishra AN, Miśkowiec D, Modak A, Mohanty AP, Mohanty B, Khan MM, Molander MA, Moravcova Z, Mordasini C, Moreira De Godoy DA, Morozov I, Morsch A, Mrnjavac T, Muccifora V, Muhuri S, Mulligan JD, Mulliri A, Munhoz MG, Munzer RH, Murakami H, Murray S, Musa L, Musinsky J, Myrcha JW, Naik B, Nambrath AI, Nandi BK, Nania R, Nappi E, Nassirpour AF, Nath A, Nattrass C, Naydenov MN, Neagu A, Negru A, Nellen L, Nesbo SV, Neskovic G, Nesterov D, Nielsen BS, Nielsen EG, Nikolaev S, Nikulin S, Nikulin V, Noferini F, Noh S, Nomokonov P, Norman J, Novitzky N, Nowakowski P, Nyanin A, Nystrand J, Ogino M, Ohlson A, Okorokov VA, Oleniacz J, Oliveira Da Silva AC, Oliver MH, Onnerstad A, Oppedisano C, Ortiz Velasquez A, Otwinowski J, Oya M, Oyama K, Pachmayer Y, Padhan S, Pagano D, Paić G, Palasciano A, Panebianco S, Park H, Park H, Park J, Parkkila JE, Patra RN, Paul B, Pei H, Peitzmann T, Peng X, Pennisi M, Pereira LG, Peresunko D, Perez GM, Perrin S, Pestov Y, Petráček V, Petrov V, Petrovici M, Pezzi RP, Piano S, Pikna M, Pillot P, Pinazza O, Pinsky L, Pinto C, Pisano S, Płoskoń M, Planinic M, Pliquett F, Poghosyan MG, Polichtchouk B, Politano S, Poljak N, Pop A, Porteboeuf-Houssais S, Pozdniakov V, Pradhan KK, Prasad SK, Prasad S, Preghenella R, Prino F, Pruneau CA, Pshenichnov I, Puccio M, Pucillo S, Pugelova Z, Qiu S, Quaglia L, Quishpe RE, Ragoni S, Rakotozafindrabe A, Ramello L, Rami F, Ramirez SAR, Rancien TA, Rasa M, Räsänen SS, Rath R, Rauch MP, Ravasenga I, Read KF, Reckziegel C, Redelbach AR, Redlich K, Rehman A, Reidt F, Reme-Ness HA, Rescakova Z, Reygers K, Riabov A, Riabov V, Ricci R, Richter M, Riedel AA, Riegler W, Ristea C, Rodríguez Cahuantzi M, Røed K, Rogalev R, Rogochaya E, Rogoschinski TS, Rohr D, Röhrich D, Rojas PF, Rojas Torres S, Rokita PS, Romanenko G, Ronchetti F, Rosano A, Rosas ED, Rossi A, Roy A, Roy S, Rubini N, Rueda OV, Ruggiano D, Rui R, Rumyantsev B, Russek PG, Russo R, Rustamov A, Ryabinkin E, Ryabov Y, Rybicki A, Rytkonen H, Rzesa W, Saarimaki OAM, Sadek R, Sadhu S, Sadovsky S, Saetre J, Šafařík K, Saha SK, Saha S, Sahoo B, Sahoo R, Sahoo S, Sahu D, Sahu PK, Saini J, Sajdakova K, Sakai S, Salvan MP, Sambyal S, Sanna I, Saramela TB, Sarkar D, Sarkar N, Sarma P, Sarritzu V, Sarti VM, Sas MHP, Schambach J, Scheid HS, Schiaua C, Schicker R, Schmah A, Schmidt C, Schmidt HR, Schmidt MO, Schmidt M, Schmidt NV, Schmier AR, Schotter R, Schröter A, Schukraft J, Schwarz K, Schweda K, Scioli G, Scomparin E, Seger JE, Sekiguchi Y, Sekihata D, Selyuzhenkov I, Senyukov S, Seo JJ, Serebryakov D, Šerkšnytė L, Sevcenco A, Shaba TJ, Shabetai A, Shahoyan R, Shangaraev A, Sharma A, Sharma D, Sharma H, Sharma M, Sharma S, Sharma S, Sharma U, Shatat A, Sheibani O, Shigaki K, Shimomura M, Shin J, Shirinkin S, Shou Q, Sibiriak Y, Siddhanta S, Siemiarczuk T, Silva TF, Silvermyr D, Simantathammakul T, Simeonov R, Singh B, Singh B, Singh R, Singh R, Singh R, Singh S, Singh VK, Singhal V, Sinha T, Sitar B, Sitta M, Skaali TB, Skorodumovs G, Slupecki M, Smirnov N, Snellings RJM, Solheim EH, Song J, Songmoolnak A, Soramel F, Spijkers R, Sputowska I, Staa J, Stachel J, Stan I, Steffanic PJ, Stiefelmaier SF, Stocco D, Storehaug I, Stratmann P, Strazzi S, Stylianidis CP, Suaide AAP, Suire C, Sukhanov M, Suljic M, Sultanov R, Sumberia V, Sumowidagdo S, Swain S, Szarka I, Taghavi SF, Taillepied G, Takahashi J, Tambave GJ, Tang S, Tang Z, Tapia Takaki JD, Tapus N, Tarasovicova LA, Tarzila MG, Tassielli GF, Tauro A, Tejeda Muñoz G, Telesca A, Terlizzi L, Terrevoli C, Tersimonov G, Thakur S, Thomas D, Tikhonov A, Timmins AR, Tkacik M, Tkacik T, Toia A, Tokumoto R, Topilskaya N, Toppi M, Torales-Acosta F, Tork T, Torres Ramos AG, Trifiró A, Triolo AS, Tripathy S, Tripathy T, Trogolo S, Trubnikov V, Trzaska WH, Trzcinski TP, Tumkin A, Turrisi R, Tveter TS, Ullaland K, Ulukutlu B, Uras A, Urioni M, Usai GL, Vala M, Valle N, van Doremalen LVR, van Leeuwen M, van Veen CA, van Weelden RJG, Vande Vyvre P, Varga D, Varga Z, Vasileiou M, Vasiliev A, Vázquez Doce O, Vechernin V, Vercellin E, Vergara Limón S, Vermunt L, Vértesi R, Verweij M, Vickovic L, Vilakazi Z, Villalobos Baillie O, Vino G, Vinogradov A, Virgili T, Vislavicius V, Vodopyanov A, Volkel B, Völkl MA, Voloshin K, Voloshin SA, Volpe G, von Haller B, Vorobyev I, Vozniuk N, Vrláková J, Wang C, Wang D, Wang Y, Wegrzynek A, Weiglhofer FT, Wenzel SC, Wessels JP, Weyhmiller SL, Wiechula J, Wikne J, Wilk G, Wilkinson J, Willems GA, Windelband B, Winn M, Wright JR, Wu W, Wu Y, Xu R, Yadav A, Yadav AK, Yalcin S, Yamaguchi Y, Yamakawa K, Yang S, Yano S, Yin Z, Yoo IK, Yoon JH, Yuan S, Yuncu A, Zaccolo V, Zampolli C, Zanone F, Zardoshti N, Zarochentsev A, Závada P, Zaviyalov N, Zhalov M, Zhang B, Zhang L, Zhang S, Zhang X, Zhang Y, Zhang Z, Zhao M, Zherebchevskii V, Zhi Y, Zhou D, Zhou Y, Zhu J, Zhu Y, Zugravel SC, Zurlo N. ψ(2S) Suppression in Pb-Pb Collisions at the LHC. PHYSICAL REVIEW LETTERS 2024; 132:042301. [PMID: 38335364 DOI: 10.1103/physrevlett.132.042301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 05/25/2023] [Accepted: 11/20/2023] [Indexed: 02/12/2024]
Abstract
The production of the ψ(2S) charmonium state was measured with ALICE in Pb-Pb collisions at sqrt[s_{NN}]=5.02 TeV, in the dimuon decay channel. A significant signal was observed for the first time at LHC energies down to zero transverse momentum, at forward rapidity (2.5
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Sun X, Sun J, Lu X, Dong Q, Zhang L, Wang W, Liu J, Ma Q, Wang X, Wei D, Chen Y, Liu B, Huang CC, Zheng Y, Wu Y, Chen T, Cheng Y, Xu X, Gong Q, Si T, Qiu S, Lin CP, Cheng J, Tang Y, Wang F, Qiu J, Xie P, Li L, He Y, Xia M. Mapping Neurophysiological Subtypes of Major Depressive Disorder Using Normative Models of the Functional Connectome. Biol Psychiatry 2023; 94:936-947. [PMID: 37295543 DOI: 10.1016/j.biopsych.2023.05.021] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 05/15/2023] [Accepted: 05/29/2023] [Indexed: 06/12/2023]
Abstract
BACKGROUND Major depressive disorder (MDD) is a highly heterogeneous disorder that typically emerges in adolescence and can occur throughout adulthood. Studies aimed at quantitatively uncovering the heterogeneity of individual functional connectome abnormalities in MDD and identifying reproducibly distinct neurophysiological MDD subtypes across the lifespan, which could provide promising insights for precise diagnosis and treatment prediction, are still lacking. METHODS Leveraging resting-state functional magnetic resonance imaging data from 1148 patients with MDD and 1079 healthy control participants (ages 11-93), we conducted the largest multisite analysis to date for neurophysiological MDD subtyping. First, we characterized typical lifespan trajectories of functional connectivity strength based on the normative model and quantitatively mapped the heterogeneous individual deviations among patients with MDD. Then, we identified neurobiological MDD subtypes using an unsupervised clustering algorithm and evaluated intersite reproducibility. Finally, we validated the subtype differences in baseline clinical variables and longitudinal treatment predictive capacity. RESULTS Our findings indicated great intersubject heterogeneity in the spatial distribution and severity of functional connectome deviations among patients with MDD, which inspired the identification of 2 reproducible neurophysiological subtypes. Subtype 1 showed severe deviations, with positive deviations in the default mode, limbic, and subcortical areas and negative deviations in the sensorimotor and attention areas. Subtype 2 showed a moderate but converse deviation pattern. More importantly, subtype differences were observed in depressive item scores and the predictive ability of baseline deviations for antidepressant treatment outcomes. CONCLUSIONS These findings shed light on our understanding of different neurobiological mechanisms underlying the clinical heterogeneity of MDD and are essential for developing personalized treatments for this disorder.
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Lyu W, Wu Y, Huang H, Chen Y, Tan X, Liang Y, Ma X, Feng Y, Wu J, Kang S, Qiu S, Yap PT. Aberrant dynamic functional network connectivity in type 2 diabetes mellitus individuals. Cogn Neurodyn 2023; 17:1525-1539. [PMID: 37969945 PMCID: PMC10640562 DOI: 10.1007/s11571-022-09899-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 09/11/2022] [Accepted: 10/09/2022] [Indexed: 11/24/2022] Open
Abstract
An increasing number of recent brain imaging studies are dedicated to understanding the neuro mechanism of cognitive impairment in type 2 diabetes mellitus (T2DM) individuals. In contrast to efforts to date that are limited to static functional connectivity, here we investigate abnormal connectivity in T2DM individuals by characterizing the time-varying properties of brain functional networks. Using group independent component analysis (GICA), sliding-window analysis, and k-means clustering, we extracted thirty-one intrinsic connectivity networks (ICNs) and estimated four recurring brain states. We observed significant group differences in fraction time (FT) and mean dwell time (MDT), and significant negative correlation between the Montreal Cognitive Assessment (MoCA) scores and FT/MDT. We found that in the T2DM group the inter- and intra-network connectivity decreases and increases respectively for the default mode network (DMN) and task-positive network (TPN). We also found alteration in the precuneus network (PCUN) and enhanced connectivity between the salience network (SN) and the TPN. Our study provides evidence of alterations of large-scale resting networks in T2DM individuals and shed light on the fundamental mechanisms of neurocognitive deficits in T2DM.
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Acharya S, Adamová D, Adler A, Aglieri Rinella G, Agnello M, Agrawal N, Ahammed Z, Ahmad S, Ahn SU, Ahuja I, Akindinov A, Al-Turany M, Aleksandrov D, Alessandro B, Alfanda HM, Alfaro Molina R, Ali B, Ali Y, Alici A, Alizadehvandchali N, Alkin A, Alme J, Alocco G, Alt T, Altsybeev I, Anaam MN, Andrei C, Andronic A, Anguelov V, Antinori F, Antonioli P, Anuj C, Apadula N, Aphecetche L, Appelshäuser H, Arata C, Arcelli S, Aresti M, Arnaldi R, Arsene IC, Arslandok M, Augustinus A, Averbeck R, Azmi MD, Badalà A, Baek YW, Bai X, Bailhache R, Bailung Y, Bala R, Balbino A, Baldisseri A, Balis B, Banerjee D, Banoo Z, Barbera R, Barile F, Barioglio L, Barlou M, Barnaföldi GG, Barnby LS, Barret V, Barreto L, Bartels C, Barth K, Bartsch E, Baruffaldi F, Bastid N, Basu S, Batigne G, Battistini D, Batyunya B, Bauri D, Bazo Alba JL, Bearden IG, Beattie C, Becht P, Behera D, Belikov I, Bell Hechavarria ADC, Bellini F, Bellwied R, Belokurova S, Belyaev V, Bencedi G, Beole S, Bercuci A, Berdnikov Y, Berdnikova A, Bergmann L, Besoiu MG, Betev L, Bhaduri PP, Bhasin A, Bhat MA, Bhattacharjee B, Bianchi L, Bianchi N, Bielčík J, Bielčíková J, Biernat J, Bigot AP, Bilandzic A, Biro G, Biswas S, Bize N, Blair JT, Blau D, Blidaru MB, Bluhme N, Blume C, Boca G, Bock F, Bodova T, Bogdanov A, Boi S, Bok J, Boldizsár L, Bolozdynya A, Bombara M, Bond PM, Bonomi G, Borel H, Borissov A, Bossi H, Botta E, Bouziani YEM, Bratrud L, Braun-Munzinger P, Bregant M, Broz M, Bruno GE, Buckland MD, Budnikov D, Buesching H, Bufalino S, Bugnon O, Buhler P, Buthelezi Z, Butt JB, Bysiak SA, Cai M, Caines H, Caliva A, Calvo Villar E, Camacho JMM, Camerini P, Canedo FDM, Carabas M, Carnesecchi F, Caron R, Castillo Castellanos J, Catalano F, Ceballos Sanchez C, Chakaberia I, Chakraborty P, Chandra S, Chapeland S, Chartier M, Chattopadhyay S, Chattopadhyay S, Chavez TG, Cheng T, Cheshkov C, Cheynis B, Chibante Barroso V, Chinellato DD, Chizzali ES, Cho J, Cho S, Chochula P, Christakoglou P, Christensen CH, Christiansen P, Chujo T, Ciacco M, Cicalo C, Cifarelli L, Cindolo F, Ciupek MR, Clai G, Colamaria F, Colburn JS, Colella D, Colocci M, Concas M, Conesa Balbastre G, Conesa Del Valle Z, Contin G, Contreras JG, Coquet ML, Cormier TM, Cortese P, Cosentino MR, Costa F, Costanza S, Crkovská J, Crochet P, Cruz-Torres R, Cuautle E, Cui P, Cunqueiro L, Dainese A, Danisch MC, Danu A, Das P, Das P, Das S, Dash AR, Dash S, David RMH, De Caro A, de Cataldo G, de Cuveland J, De Falco A, De Gruttola D, De Marco N, De Martin C, De Pasquale S, Deb S, Debski RJ, Deja KR, Del Grande R, Dello Stritto L, Deng W, Dhankher P, Di Bari D, Di Mauro A, Diaz RA, Dietel T, Ding Y, Divià R, Dixit DU, Djuvsland Ø, Dmitrieva U, Dobrin A, Dönigus B, Dubey AK, Dubinski JM, Dubla A, Dudi S, Dupieux P, Durkac M, Dzalaiova N, Eder TM, Ehlers RJ, Eikeland VN, Eisenhut F, Elia D, Erazmus B, Ercolessi F, Erhardt F, Ersdal MR, Espagnon B, Eulisse G, Evans D, Evdokimov S, Fabbietti L, Faggin M, Faivre J, Fan F, Fan W, Fantoni A, Fasel M, Fecchio P, Feliciello A, Feofilov G, Fernández Téllez A, Ferrer MB, Ferrero A, Ferrero C, Ferretti A, Feuillard VJG, Filova V, Finogeev D, Fionda FM, Flor F, Flores AN, Foertsch S, Fokin I, Fokin S, Fragiacomo E, Frajna E, Fuchs U, Funicello N, Furget C, Furs A, Fusayasu T, Gaardhøje JJ, Gagliardi M, Gago AM, Galvan CD, Gangadharan DR, Ganoti P, Garabatos C, Garcia JRA, Garcia-Solis E, Garg K, Gargiulo C, Garibli A, Garner K, Gautam A, Gay Ducati MB, Germain M, Ghosh C, Ghosh SK, Giacalone M, Gianotti P, Giubellino P, Giubilato P, Glaenzer AMC, Glässel P, Glimos E, Goh DJQ, Gonzalez V, González-Trueba LH, Gorgon M, Gotovac S, Grabski V, Graczykowski LK, Grecka E, Grelli A, Grigoras C, Grigoriev V, Grigoryan S, Grosa F, Grosse-Oetringhaus JF, Grosso R, Grund D, Guardiano GG, Guernane R, Guilbaud M, Gulbrandsen K, Gundem T, Gunji T, Guo W, Gupta A, Gupta R, Guzman SP, Gyulai L, Habib MK, Hadjidakis C, Hamagaki H, Hamid M, Han Y, Hannigan R, Haque MR, Harris JW, Harton A, Hassan H, Hatzifotiadou D, Hauer P, Havener LB, Heckel ST, Hellbär E, Helstrup H, Hemmer M, Herman T, Herrera Corral G, Herrmann F, Herrmann S, Hetland KF, Heybeck B, Hillemanns H, Hills C, Hippolyte B, Hofman B, Hohlweger B, Honermann J, Hong GH, Horzyk A, Hosokawa R, Hou Y, Hristov P, Hughes C, Huhn P, Huhta LM, Hulse CV, Humanic TJ, Hushnud H, Hutson A, Hutter D, Iddon JP, Ilkaev R, Ilyas H, Inaba M, Innocenti GM, Ippolitov M, Isakov A, Isidori T, Islam MS, Ivanov M, Ivanov M, Ivanov V, Izucheev V, Jablonski M, Jacak B, Jacazio N, Jacobs PM, Jadlovska S, Jadlovsky J, Jaelani S, Jaffe L, Jahnke C, Jakubowska MJ, Janik MA, Janson T, Jercic M, Jevons O, Jimenez AAP, Jonas F, Jones PG, Jowett JM, Jung J, Jung M, Junique A, Jusko A, Kabus MJ, Kaewjai J, Kalinak P, Kalteyer AS, Kalweit A, Kaplin V, Karasu Uysal A, Karatovic D, Karavichev O, Karavicheva T, Karczmarczyk P, Karpechev E, Kashyap V, Kebschull U, Keidel R, Keijdener DLD, Keil M, Ketzer B, Khan AM, Khan S, Khanzadeev A, Kharlov Y, Khatun A, Khuntia A, Kileng B, Kim B, Kim C, Kim DJ, Kim EJ, Kim J, Kim JS, Kim J, Kim J, Kim M, Kim S, Kim T, Kimura K, Kirsch S, Kisel I, Kiselev S, Kisiel A, Kitowski JP, Klay JL, Klein J, Klein S, Klein-Bösing C, Kleiner M, Klemenz T, Kluge A, Knospe AG, Kobdaj C, Kollegger T, Kondratyev A, Kondratyuk E, Konig J, Konigstorfer SA, Konopka PJ, Kornakov G, Koryciak SD, Kotliarov A, Kovalenko O, Kovalenko V, Kowalski M, Králik I, Kravčáková A, Kreis L, Krivda M, Krizek F, Krizkova Gajdosova K, Kroesen M, Krüger M, Krupova DM, Kryshen E, Kučera V, Kuhn C, Kuijer PG, Kumaoka T, Kumar D, Kumar L, Kumar N, Kumar S, Kundu S, Kurashvili P, Kurepin A, Kurepin AB, Kushpil S, Kvapil J, Kweon MJ, Kwon JY, Kwon Y, La Pointe SL, La Rocca P, Lai YS, Lakrathok A, Lamanna M, Langoy R, Larionov P, Laudi E, Lautner L, Lavicka R, Lazareva T, Lea R, Legras G, Lehrbach J, Lemmon RC, León Monzón I, Lesch MM, Lesser ED, Lettrich M, Lévai P, Li X, Li XL, Lien J, Lietava R, Lim B, Lim SH, Lindenstruth V, Lindner A, Lippmann C, Liu A, Liu DH, Liu J, Lofnes IM, Loizides C, Loncar P, Lopez JA, Lopez X, López Torres E, Lu P, Luhder JR, Lunardon M, Luparello G, Ma YG, Maevskaya A, Mager M, Mahmoud T, Maire A, Malaev M, Malfattore G, Malik NM, Malik QW, Malik SK, Malinina L, Mal'Kevich D, Mallick D, Mallick N, Mandaglio G, Manko V, Manso F, Manzari V, Mao Y, Margagliotti GV, Margotti A, Marín A, Markert C, Martinengo P, Martinez JL, Martínez MI, Martínez García G, Masciocchi S, Masera M, Masoni A, Massacrier L, Mastroserio A, Mathis AM, Matonoha O, Matuoka PFT, Matyja A, Mayer C, Mazuecos AL, Mazzaschi F, Mazzilli M, Mdhluli JE, Mechler AF, Melikyan Y, Menchaca-Rocha A, Meninno E, Menon AS, Meres M, Mhlanga S, Miake Y, Micheletti L, Migliorin LC, Mihaylov DL, Mikhaylov K, Mishra AN, Miśkowiec D, Modak A, Mohanty AP, Mohanty B, Khan MM, Molander MA, Moravcova Z, Mordasini C, Moreira De Godoy DA, Morozov I, Morsch A, Mrnjavac T, Muccifora V, Muhuri S, Mulligan JD, Mulliri A, Munhoz MG, Munzer RH, Murakami H, Murray S, Musa L, Musinsky J, Myrcha JW, Naik B, Nair R, Nambrath AI, Nandi BK, Nania R, Nappi E, Nassirpour AF, Nath A, Nattrass C, Neagu A, Negru A, Nellen L, Nesbo SV, Neskovic G, Nesterov D, Nielsen BS, Nielsen EG, Nikolaev S, Nikulin S, Nikulin V, Noferini F, Noh S, Nomokonov P, Norman J, Novitzky N, Nowakowski P, Nyanin A, Nystrand J, Ogino M, Ohlson A, Okorokov VA, Oleniacz J, Oliveira Da Silva AC, Oliver MH, Onnerstad A, Oppedisano C, Ortiz Velasquez A, Oskarsson A, Otwinowski J, Oya M, Oyama K, Pachmayer Y, Padhan S, Pagano D, Paić G, Palasciano A, Panebianco S, Park H, Park J, Parkkila JE, Patra RN, Paul B, Pei H, Peitzmann T, Peng X, Pennisi M, Pereira LG, Pereira Da Costa H, Peresunko D, Perez GM, Perrin S, Pestov Y, Petráček V, Petrov V, Petrovici M, Pezzi RP, Piano S, Pikna M, Pillot P, Pinazza O, Pinsky L, Pinto C, Pisano S, Płoskoń M, Planinic M, Pliquett F, Poghosyan MG, Politano S, Poljak N, Pop A, Porteboeuf-Houssais S, Porter J, Pozdniakov V, Prasad SK, Prasad S, Preghenella R, Prino F, Pruneau CA, Pshenichnov I, Puccio M, Pucillo S, Pugelova Z, Qiu S, Quaglia L, Quishpe RE, Ragoni S, Rakotozafindrabe A, Ramello L, Rami F, Ramirez SAR, Rancien TA, Raniwala R, Raniwala S, Rasa M, Räsänen SS, Rath R, Ravasenga I, Read KF, Reckziegel C, Redelbach AR, Redlich K, Rehman A, Reidt F, Reme-Ness HA, Rescakova Z, Reygers K, Riabov A, Riabov V, Ricci R, Richert T, Richter M, Riedel AA, Riegler W, Riggi F, Ristea C, Rodríguez Cahuantzi M, Røed K, Rogalev R, Rogochaya E, Rogoschinski TS, Rohr D, Röhrich D, Rojas PF, Rojas Torres S, Rokita PS, Romanenko G, Ronchetti F, Rosano A, Rosas ED, Rossi A, Roy A, Roy P, Roy S, Rubini N, Rueda OV, Ruggiano D, Rui R, Rumyantsev B, Russek PG, Russo R, Rustamov A, Ryabinkin E, Ryabov Y, Rybicki A, Rytkonen H, Rzesa W, Saarimaki OAM, Sadek R, Sadhu S, Sadovsky S, Saetre J, Šafařík K, Saha SK, Saha S, Sahoo B, Sahoo R, Sahoo S, Sahu D, Sahu PK, Saini J, Sajdakova K, Sakai S, Salvan MP, Sambyal S, Saramela TB, Sarkar D, Sarkar N, Sarma P, Sarritzu V, Sarti VM, Sas MHP, Schambach J, Scheid HS, Schiaua C, Schicker R, Schmah A, Schmidt C, Schmidt HR, Schmidt MO, Schmidt M, Schmidt NV, Schmier AR, Schotter R, Schukraft J, Schwarz K, Schweda K, Scioli G, Scomparin E, Seger JE, Sekiguchi Y, Sekihata D, Selyuzhenkov I, Senyukov S, Seo JJ, Serebryakov D, Šerkšnytė L, Sevcenco A, Shaba TJ, Shabetai A, Shahoyan R, Shangaraev A, Sharma A, Sharma D, Sharma H, Sharma M, Sharma N, Sharma S, Sharma S, Sharma U, Shatat A, Sheibani O, Shigaki K, Shimomura M, Shirinkin S, Shou Q, Sibiriak Y, Siddhanta S, Siemiarczuk T, Silva TF, Silvermyr D, Simantathammakul T, Simeonov R, Singh B, Singh B, Singh R, Singh R, Singh R, Singh S, Singh VK, Singhal V, Sinha T, Sitar B, Sitta M, Skaali TB, Skorodumovs G, Slupecki M, Smirnov N, Snellings RJM, Solheim EH, Song J, Songmoolnak A, Soramel F, Sorensen S, Spijkers R, Sputowska I, Staa J, Stachel J, Stan I, Steffanic PJ, Stiefelmaier SF, Stocco D, Storehaug I, Storetvedt MM, Stratmann P, Strazzi S, Stylianidis CP, Suaide AAP, Suire C, Sukhanov M, Suljic M, Sumberia V, Sumowidagdo S, Swain S, Szarka I, Tabassam U, Taghavi SF, Taillepied G, Takahashi J, Tambave GJ, Tang S, Tang Z, Tapia Takaki JD, Tapus N, Tarasovicova LA, Tarzila MG, Tassielli GF, Tauro A, Telesca A, Terlizzi L, Terrevoli C, Tersimonov G, Thakur S, Thomas D, Tikhonov A, Timmins AR, Tkacik M, Tkacik T, Toia A, Tokumoto R, Topilskaya N, Toppi M, Torales-Acosta F, Tork T, Torres Ramos AG, Trifiró A, Triolo AS, Tripathy S, Tripathy T, Trogolo S, Trubnikov V, Trzaska WH, Trzcinski TP, Turrisi R, Tveter TS, Ullaland K, Ulukutlu B, Uras A, Urioni M, Usai GL, Vala M, Valle N, Vallero S, van Doremalen LVR, van Leeuwen M, van Veen CA, van Weelden RJG, Vande Vyvre P, Varga D, Varga Z, Varga-Kofarago M, Vasileiou M, Vasiliev A, Vázquez Doce O, Vechernin V, Vercellin E, Vergara Limón S, Vermunt L, Vértesi R, Verweij M, Vickovic L, Vilakazi Z, Villalobos Baillie O, Vino G, Vinogradov A, Virgili T, Vislavicius V, Vodopyanov A, Volkel B, Völkl MA, Voloshin K, Voloshin SA, Volpe G, von Haller B, Vorobyev I, Vozniuk N, Vrláková J, Wagner B, Wang C, Wang D, Wegrzynek A, Weiglhofer FT, Wenzel SC, Wessels JP, Weyhmiller SL, Wiechula J, Wikne J, Wilk G, Wilkinson J, Willems GA, Windelband B, Winn M, Wright JR, Wu W, Wu Y, Xu R, Yadav A, Yadav AK, Yalcin S, Yamaguchi Y, Yamakawa K, Yang S, Yano S, Yin Z, Yoo IK, Yoon JH, Yuan S, Yuncu A, Zaccolo V, Zampolli C, Zanoli HJC, Zanone F, Zardoshti N, Zarochentsev A, Závada P, Zaviyalov N, Zhalov M, Zhang B, Zhang S, Zhang X, Zhang Y, Zhang Z, Zhao M, Zherebchevskii V, Zhi Y, Zhigareva N, Zhou D, Zhou Y, Zhu J, Zhu Y, Zinovjev G, Zurlo N. Measurements of Groomed-Jet Substructure of Charm Jets Tagged by D^{0} Mesons in Proton-Proton Collisions at sqrt[s]=13 TeV. PHYSICAL REVIEW LETTERS 2023; 131:192301. [PMID: 38000395 DOI: 10.1103/physrevlett.131.192301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 01/13/2023] [Accepted: 07/19/2023] [Indexed: 11/26/2023]
Abstract
Understanding the role of parton mass and Casimir color factors in the quantum chromodynamics parton shower represents an important step in characterizing the emission properties of heavy quarks. Recent experimental advances in jet substructure techniques have provided the opportunity to isolate and characterize gluon emissions from heavy quarks. In this Letter, the first direct experimental constraint on the charm-quark splitting function is presented, obtained via the measurement of the groomed shared momentum fraction of the first splitting in charm jets, tagged by a reconstructed D^{0} meson. The measurement is made in proton-proton collisions at sqrt[s]=13 TeV, in the low jet transverse-momentum interval of 15≤p_{T}^{jet ch}<30 GeV/c where the emission properties are sensitive to parton mass effects. In addition, the opening angle of the first perturbative emission of the charm quark, as well as the number of perturbative emissions it undergoes, is reported. Comparisons to measurements of an inclusive-jet sample show a steeper splitting function for charm quarks compared with gluons and light quarks. Charm quarks also undergo fewer perturbative emissions in the parton shower, with a reduced probability of large-angle emissions.
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Xue K, Gao B, Chen F, Wang M, Cheng J, Zhang B, Zhu W, Qiu S, Geng Z, Zhang X, Cui G, Yu Y, Zhang Q, Liao W, Zhang H, Xu X, Han T, Qin W, Liu F, Liang M, Guo L, Xu Q, Xu J, Fu J, Zhang P, Li W, Shi D, Wang C, Lui S, Yan Z, Zhang J, Li J, Wang D, Xian J, Xu K, Zuo XN, Zhang L, Ye Z, Banaschewski T, Barker GJ, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Brühl R, Martinot JL, Martinot MLP, Artiges E, Nees F, Orfanos DP, Lemaitre H, Poustka L, Hohmann S, Holz N, Fröhner JH, Smolka MN, Vaidya N, Walter H, Whelan R, Shen W, Miao Y, Yu C. Covariation of preadult environmental exposures, adult brain imaging phenotypes, and adult personality traits. Mol Psychiatry 2023; 28:4853-4866. [PMID: 37737484 DOI: 10.1038/s41380-023-02261-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 09/05/2023] [Accepted: 09/08/2023] [Indexed: 09/23/2023]
Abstract
Exposure to preadult environmental exposures may have long-lasting effects on mental health by affecting the maturation of the brain and personality, two traits that interact throughout the developmental process. However, environment-brain-personality covariation patterns and their mediation relationships remain unclear. In 4297 healthy participants (aged 18-30 years), we combined sparse multiple canonical correlation analysis with independent component analysis to identify the three-way covariation patterns of 59 preadult environmental exposures, 760 adult brain imaging phenotypes, and five personality traits, and found two robust environment-brain-personality covariation models with sex specificity. One model linked greater stress and less support to weaker functional connectivity and activity in the default mode network, stronger activity in subcortical nuclei, greater thickness and volume in the occipital, parietal and temporal cortices, and lower agreeableness, consciousness and extraversion as well as higher neuroticism. The other model linked higher urbanicity and better socioeconomic status to stronger functional connectivity and activity in the sensorimotor network, smaller volume and surface area and weaker functional connectivity and activity in the medial prefrontal cortex, lower white matter integrity, and higher openness to experience. We also conducted mediation analyses to explore the potential bidirectional mediation relationships between adult brain imaging phenotypes and personality traits with the influence of preadult environmental exposures and found both environment-brain-personality and environment-personality-brain pathways. We finally performed moderated mediation analyses to test the potential interactions between macro- and microenvironmental exposures and found that one category of exposure moderated the mediation pathways of another category of exposure. These results improve our understanding of the effects of preadult environmental exposures on the adult brain and personality traits and may facilitate the design of targeted interventions to improve mental health by reducing the impact of adverse environmental exposures.
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Xue H, Xu X, Yan Z, Cheng J, Zhang L, Zhu W, Cui G, Zhang Q, Qiu S, Yao Z, Qin W, Liu F, Liang M, Fu J, Xu Q, Xu J, Xie Y, Zhang P, Li W, Wang C, Shen W, Zhang X, Xu K, Zuo XN, Ye Z, Yu Y, Xian J, Yu C. Genome-wide association study of hippocampal blood-oxygen-level-dependent-cerebral blood flow correlation in Chinese Han population. iScience 2023; 26:108005. [PMID: 37822511 PMCID: PMC10562876 DOI: 10.1016/j.isci.2023.108005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 07/29/2023] [Accepted: 09/18/2023] [Indexed: 10/13/2023] Open
Abstract
Correlation between blood-oxygen-level-dependent (BOLD) and cerebral blood flow (CBF) has been used as an index of neurovascular coupling. Hippocampal BOLD-CBF correlation is associated with neurocognition, and the reduced correlation is associated with neuropsychiatric disorders. We conducted the first genome-wide association study of the hippocampal BOLD-CBF correlation in 4,832 Chinese Han subjects. The hippocampal BOLD-CBF correlation had an estimated heritability of 16.2-23.9% and showed reliable genome-wide significant association with a locus at 3q28, in which many variants have been linked to neuroimaging and cerebrospinal fluid markers of Alzheimer's disease. Gene-based association analyses showed four significant genes (GMNC, CRTC2, DENND4B, and GATAD2B) and revealed enrichment for mast cell calcium mobilization, microglial cell proliferation, and ubiquitin-related proteolysis pathways that regulate different cellular components of the neurovascular unit. This is the first unbiased identification of the association of hippocampal BOLD-CBF correlation, providing fresh insights into the genetic architecture of hippocampal neurovascular coupling.
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Yu M, Liu Y, Wu J, Bozoki A, Qiu S, Yue L, Liu M. Hybrid Multimodality Fusion with Cross-Domain Knowledge Transfer to Forecast Progression Trajectories in Cognitive Decline. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION : MICCAI ... INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION 2023; 14394:265-275. [PMID: 38435413 PMCID: PMC10904401 DOI: 10.1007/978-3-031-47425-5_24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
Magnetic resonance imaging (MRI) and positron emission tomography (PET) are increasingly used to forecast progression trajectories of cognitive decline caused by preclinical and prodromal Alzheimer's disease (AD). Many existing studies have explored the potential of these two distinct modalities with diverse machine and deep learning approaches. But successfully fusing MRI and PET can be complex due to their unique characteristics and missing modalities. To this end, we develop a hybrid multimodality fusion (HMF) framework with cross-domain knowledge transfer for joint MRI and PET representation learning, feature fusion, and cognitive decline progression forecasting. Our HMF consists of three modules: 1) a module to impute missing PET images, 2) a module to extract multimodality features from MRI and PET images, and 3) a module to fuse the extracted multimodality features. To address the issue of small sample sizes, we employ a cross-domain knowledge transfer strategy from the ADNI dataset, which includes 795 subjects, to independent small-scale AD-related cohorts, in order to leverage the rich knowledge present within the ADNI. The proposed HMF is extensively evaluated in three AD-related studies with 272 subjects across multiple disease stages, such as subjective cognitive decline and mild cognitive impairment. Experimental results demonstrate the superiority of our method over several state-of-the-art approaches in forecasting progression trajectories of AD-related cognitive decline.
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Zhang L, Wu J, Wang L, Wang L, Steffens DC, Qiu S, Potter GG, Liu M. Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION : MICCAI ... INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION 2023; 14227:109-119. [PMID: 38390033 PMCID: PMC10883230 DOI: 10.1007/978-3-031-43993-3_11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
Brain structural MRI has been widely used for assessing future progression of cognitive impairment (CI) based on learning-based methods. Previous studies generally suffer from the limited number of labeled training data, while there exists a huge amount of MRIs in large-scale public databases. Even without task-specific label information, brain anatomical structures provided by these MRIs can be used to boost learning performance intuitively. Unfortunately, existing research seldom takes advantage of such brain anatomy prior. To this end, this paper proposes a brain anatomy-guided representation (BAR) learning framework for assessing the clinical progression of cognitive impairment with T1-weighted MRIs. The BAR consists of a pretext model and a downstream model, with a shared brain anatomy-guided encoder for MRI feature extraction. The pretext model also contains a decoder for brain tissue segmentation, while the downstream model relies on a predictor for classification. We first train the pretext model through a brain tissue segmentation task on 9,544 auxiliary T1-weighted MRIs, yielding a generalizable encoder. The downstream model with the learned encoder is further fine-tuned on target MRIs for prediction tasks. We validate the proposed BAR on two CI-related studies with a total of 391 subjects with T1-weighted MRIs. Experimental results suggest that the BAR outperforms several state-of-the-art (SOTA) methods. The source code and pre-trained models are available at https://github.com/goodaycoder/BAR.
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Acharya S, Adamová D, Adler A, Aglieri Rinella G, Agnello M, Agrawal N, Ahammed Z, Ahmad S, Ahn SU, Ahuja I, Akindinov A, Al-Turany M, Aleksandrov D, Alessandro B, Alfanda HM, Alfaro Molina R, Ali B, Ali Y, Alici A, Alizadehvandchali N, Alkin A, Alme J, Alocco G, Alt T, Altsybeev I, Anaam MN, Andrei C, Andronic A, Anguelov V, Antinori F, Antonioli P, Anuj C, Apadula N, Aphecetche L, Appelshäuser H, Arata C, Arcelli S, Aresti M, Arnaldi R, Arsene IC, Arslandok M, Augustinus A, Averbeck R, Azmi MD, Badalà A, Baek YW, Bai X, Bailhache R, Bailung Y, Bala R, Balbino A, Baldisseri A, Balis B, Banerjee D, Banoo Z, Barbera R, Barile F, Barioglio L, Barlou M, Barnaföldi GG, Barnby LS, Barret V, Barreto L, Bartels C, Barth K, Bartsch E, Baruffaldi F, Bastid N, Basu S, Batigne G, Battistini D, Batyunya B, Bauri D, Bazo Alba JL, Bearden IG, Beattie C, Becht P, Behera D, Belikov I, Bell Hechavarria ADC, Bellini F, Bellwied R, Belokurova S, Belyaev V, Bencedi G, Beole S, Bercuci A, Berdnikov Y, Berdnikova A, Bergmann L, Besoiu MG, Betev L, Bhaduri PP, Bhasin A, Bhat MA, Bhattacharjee B, Bianchi L, Bianchi N, Bielčík J, Bielčíková J, Biernat J, Bigot AP, Bilandzic A, Biro G, Biswas S, Bize N, Blair JT, Blau D, Blidaru MB, Bluhme N, Blume C, Boca G, Bock F, Bodova T, Bogdanov A, Boi S, Bok J, Boldizsár L, Bolozdynya A, Bombara M, Bond PM, Bonomi G, Borel H, Borissov A, Borquez Carcamo AG, Bossi H, Botta E, Bouziani YEM, Bratrud L, Braun-Munzinger P, Bregant M, Broz M, Bruno GE, Buckland MD, Budnikov D, Buesching H, Bufalino S, Bugnon O, Buhler P, Buthelezi Z, Butt JB, Bysiak SA, Cai M, Caines H, Caliva A, Calvo Villar E, Camacho JMM, Camerini P, Canedo FDM, Carabas M, Carballo AA, Carnesecchi F, Caron R, Castillo Castellanos J, Catalano F, Ceballos Sanchez C, Chakaberia I, Chakraborty P, Chandra S, Chapeland S, Chartier M, Chattopadhyay S, Chattopadhyay S, Chavez TG, Cheng T, Cheshkov C, Cheynis B, Chibante Barroso V, Chinellato DD, Chizzali ES, Cho J, Cho S, Chochula P, Christakoglou P, Christensen CH, Christiansen P, Chujo T, Ciacco M, Cicalo C, Cifarelli L, Cindolo F, Ciupek MR, Clai G, Colamaria F, Colburn JS, Colella D, Colocci M, Concas M, Conesa Balbastre G, Conesa Del Valle Z, Contin G, Contreras JG, Coquet ML, Cormier TM, Cortese P, Cosentino MR, Costa F, Costanza S, Crkovská J, Crochet P, Cruz-Torres R, Cuautle E, Cui P, Cunqueiro L, Dainese A, Danisch MC, Danu A, Das P, Das P, Das S, Dash AR, Dash S, De Caro A, de Cataldo G, de Cuveland J, De Falco A, De Gruttola D, De Marco N, De Martin C, De Pasquale S, Deb S, Debski RJ, Deja KR, Del Grande R, Dello Stritto L, Deng W, Dhankher P, Di Bari D, Di Mauro A, Diaz RA, Dietel T, Ding Y, Divià R, Dixit DU, Djuvsland Ø, Dmitrieva U, Dobrin A, Dönigus B, Dubey AK, Dubinski JM, Dubla A, Dudi S, Dupieux P, Durkac M, Dzalaiova N, Eder TM, Ehlers RJ, Eikeland VN, Eisenhut F, Elia D, Erazmus B, Ercolessi F, Erhardt F, Ersdal MR, Espagnon B, Eulisse G, Evans D, Evdokimov S, Fabbietti L, Faggin M, Faivre J, Fan F, Fan W, Fantoni A, Fasel M, Fecchio P, Feliciello A, Feofilov G, Fernández Téllez A, Ferrer MB, Ferrero A, Ferrero C, Ferretti A, Feuillard VJG, Filova V, Finogeev D, Fionda FM, Flor F, Flores AN, Foertsch S, Fokin I, Fokin S, Fragiacomo E, Frajna E, Fuchs U, Funicello N, Furget C, Furs A, Fusayasu T, Gaardhøje JJ, Gagliardi M, Gago AM, Galvan CD, Gangadharan DR, Ganoti P, Garabatos C, Garcia JRA, Garcia-Solis E, Garg K, Gargiulo C, Garibli A, Garner K, Gasik P, Gautam A, Gay Ducati MB, Germain M, Ghosh C, Ghosh SK, Giacalone M, Giubellino P, Giubilato P, Glaenzer AMC, Glässel P, Glimos E, Goh DJQ, Gonzalez V, González-Trueba LH, Gorgon M, Gotovac S, Grabski V, Graczykowski LK, Grecka E, Grelli A, Grigoras C, Grigoriev V, Grigoryan S, Grosa F, Grosse-Oetringhaus JF, Grosso R, Grund D, Guardiano GG, Guernane R, Guilbaud M, Gulbrandsen K, Gundem T, Gunji T, Guo W, Gupta A, Gupta R, Guzman SP, Gyulai L, Habib MK, Hadjidakis C, Hamagaki H, Hamdi A, Hamid M, Han Y, Hannigan R, Haque MR, Harris JW, Harton A, Hassan H, Hatzifotiadou D, Hauer P, Havener LB, Heckel ST, Hellbär E, Helstrup H, Hemmer M, Herman T, Herrera Corral G, Herrmann F, Herrmann S, Hetland KF, Heybeck B, Hillemanns H, Hills C, Hippolyte B, Hofman B, Hohlweger B, Honermann J, Hong GH, Horst M, Horzyk A, Hosokawa R, Hou Y, Hristov P, Hughes C, Huhn P, Huhta LM, Hulse CV, Humanic TJ, Hushnud H, Hutson A, Hutter D, Iddon JP, Ilkaev R, Ilyas H, Inaba M, Innocenti GM, Ippolitov M, Isakov A, Isidori T, Islam MS, Ivanov M, Ivanov M, Ivanov V, Izucheev V, Jablonski M, Jacak B, Jacazio N, Jacobs PM, Jadlovska S, Jadlovsky J, Jaelani S, Jaffe L, Jahnke C, Jakubowska MJ, Janik MA, Janson T, Jercic M, Jimenez AAP, Jonas F, Jones PG, Jowett JM, Jung J, Jung M, Junique A, Jusko A, Kabus MJ, Kaewjai J, Kalinak P, Kalteyer AS, Kalweit A, Kaplin V, Karasu Uysal A, Karatovic D, Karavichev O, Karavicheva T, Karczmarczyk P, Karpechev E, Kashyap V, Kebschull U, Keidel R, Keijdener DLD, Keil M, Ketzer B, Khan AM, Khan S, Khanzadeev A, Kharlov Y, Khatun A, Khuntia A, Kileng B, Kim B, Kim C, Kim DJ, Kim EJ, Kim J, Kim JS, Kim J, Kim J, Kim M, Kim S, Kim T, Kimura K, Kirsch S, Kisel I, Kiselev S, Kisiel A, Kitowski JP, Klay JL, Klein J, Klein S, Klein-Bösing C, Kleiner M, Klemenz T, Kluge A, Knospe AG, Kobdaj C, Kollegger T, Kondratyev A, Kondratyuk E, Konig J, Konigstorfer SA, Konopka PJ, Kornakov G, Koryciak SD, Kotliarov A, Kovalenko V, Kowalski M, Kozhuharov V, Králik I, Kravčáková A, Kreis L, Krivda M, Krizek F, Krizkova Gajdosova K, Kroesen M, Krüger M, Krupova DM, Kryshen E, Kučera V, Kuhn C, Kuijer PG, Kumaoka T, Kumar D, Kumar L, Kumar N, Kumar S, Kundu S, Kurashvili P, Kurepin A, Kurepin AB, Kushpil S, Kvapil J, Kweon MJ, Kwon JY, Kwon Y, La Pointe SL, La Rocca P, Lai YS, Lakrathok A, Lamanna M, Langoy R, Larionov P, Laudi E, Lautner L, Lavicka R, Lazareva T, Lea R, Legras G, Lehrbach J, Lemmon RC, León Monzón I, Lesch MM, Lesser ED, Lettrich M, Lévai P, Li X, Li XL, Lien J, Lietava R, Lim B, Lim SH, Lindenstruth V, Lindner A, Lippmann C, Liu A, Liu DH, Liu J, Lofnes IM, Loizides C, Loncar P, Lopez JA, Lopez X, López Torres E, Lu P, Luhder JR, Lunardon M, Luparello G, Ma YG, Maevskaya A, Mager M, Mahmoud T, Maire A, Makariev MV, Malaev M, Malfattore G, Malik NM, Malik QW, Malik SK, Malinina L, Mal'Kevich D, Mallick D, Mallick N, Mandaglio G, Manko V, Manso F, Manzari V, Mao Y, Margagliotti GV, Margotti A, Marín A, Markert C, Martinengo P, Martinez JL, Martínez MI, Martínez García G, Masciocchi S, Masera M, Masoni A, Massacrier L, Mastroserio A, Mathis AM, Matonoha O, Matuoka PFT, Matyja A, Mayer C, Mazuecos AL, Mazzaschi F, Mazzilli M, Mdhluli JE, Mechler AF, Melikyan Y, Menchaca-Rocha A, Meninno E, Menon AS, Meres M, Mhlanga S, Miake Y, Micheletti L, Migliorin LC, Mihaylov DL, Mikhaylov K, Mishra AN, Miśkowiec D, Modak A, Mohanty AP, Mohanty B, Mohisin Khan M, Molander MA, Moravcova Z, Mordasini C, Moreira De Godoy DA, Morozov I, Morsch A, Mrnjavac T, Muccifora V, Muhuri S, Mulligan JD, Mulliri A, Munhoz MG, Munzer RH, Murakami H, Murray S, Musa L, Musinsky J, Myrcha JW, Naik B, Nambrath AI, Nandi BK, Nania R, Nappi E, Nassirpour AF, Nath A, Nattrass C, Naydenov MN, Neagu A, Negru A, Nellen L, Nesbo SV, Neskovic G, Nesterov D, Nielsen BS, Nielsen EG, Nikolaev S, Nikulin S, Nikulin V, Noferini F, Noh S, Nomokonov P, Norman J, Novitzky N, Nowakowski P, Nyanin A, Nystrand J, Ogino M, Ohlson A, Okorokov VA, Oleniacz J, Oliveira Da Silva AC, Oliver MH, Onnerstad A, Oppedisano C, Ortiz Velasquez A, Oskarsson A, Otwinowski J, Oya M, Oyama K, Pachmayer Y, Padhan S, Pagano D, Paić G, Palasciano A, Panebianco S, Park H, Park J, Parkkila JE, Patra RN, Paul B, Pei H, Peitzmann T, Peng X, Pennisi M, Pereira LG, Pereira Da Costa H, Peresunko D, Perez GM, Perrin S, Pestov Y, Petráček V, Petrov V, Petrovici M, Pezzi RP, Piano S, Pikna M, Pillot P, Pinazza O, Pinsky L, Pinto C, Pisano S, Płoskoń M, Planinic M, Pliquett F, Poghosyan MG, Politano S, Poljak N, Pop A, Porteboeuf-Houssais S, Porter J, Pozdniakov V, Pradhan KK, Prasad SK, Prasad S, Preghenella R, Prino F, Pruneau CA, Pshenichnov I, Puccio M, Pucillo S, Pugelova Z, Qiu S, Quaglia L, Quishpe RE, Ragoni S, Rakotozafindrabe A, Ramello L, Rami F, Ramirez SAR, Rancien TA, Rasa M, Räsänen SS, Rath R, Rauch MP, Ravasenga I, Read KF, Reckziegel C, Redelbach AR, Redlich K, Rehman A, Reidt F, Reme-Ness HA, Rescakova Z, Reygers K, Riabov A, Riabov V, Ricci R, Richert T, Richter M, Riedel AA, Riegler W, Ristea C, Rodríguez Cahuantzi M, Røed K, Rogalev R, Rogochaya E, Rogoschinski TS, Rohr D, Röhrich D, Rojas PF, Rojas Torres S, Rokita PS, Romanenko G, Ronchetti F, Rosano A, Rosas ED, Rossi A, Roy A, Roy P, Roy S, Rubini N, Rueda OV, Ruggiano D, Rui R, Rumyantsev B, Russek PG, Russo R, Rustamov A, Ryabinkin E, Ryabov Y, Rybicki A, Rytkonen H, Rzesa W, Saarimaki OAM, Sadek R, Sadhu S, Sadovsky S, Saetre J, Šafařík K, Saha SK, Saha S, Sahoo B, Sahoo R, Sahoo S, Sahu D, Sahu PK, Saini J, Sajdakova K, Sakai S, Salvan MP, Sambyal S, Sanna I, Saramela TB, Sarkar D, Sarkar N, Sarma P, Sarritzu V, Sarti VM, Sas MHP, Schambach J, Scheid HS, Schiaua C, Schicker R, Schmah A, Schmidt C, Schmidt HR, Schmidt MO, Schmidt M, Schmidt NV, Schmier AR, Schotter R, Schröter A, Schukraft J, Schwarz K, Schweda K, Scioli G, Scomparin E, Seger JE, Sekiguchi Y, Sekihata D, Selyuzhenkov I, Senyukov S, Seo JJ, Serebryakov D, Šerkšnytė L, Sevcenco A, Shaba TJ, Shabetai A, Shahoyan R, Shangaraev A, Sharma A, Sharma D, Sharma H, Sharma M, Sharma N, Sharma S, Sharma S, Sharma U, Shatat A, Sheibani O, Shigaki K, Shimomura M, Shin J, Shirinkin S, Shou Q, Sibiriak Y, Siddhanta S, Siemiarczuk T, Silva TF, Silvermyr D, Simantathammakul T, Simeonov R, Singh B, Singh B, Singh R, Singh R, Singh R, Singh S, Singh VK, Singhal V, Sinha T, Sitar B, Sitta M, Skaali TB, Skorodumovs G, Slupecki M, Smirnov N, Snellings RJM, Solheim EH, Song J, Songmoolnak A, Soramel F, Spijkers R, Sputowska I, Staa J, Stachel J, Stan I, Steffanic PJ, Stiefelmaier SF, Stocco D, Storehaug I, Stratmann P, Strazzi S, Stylianidis CP, Suaide AAP, Suire C, Sukhanov M, Suljic M, Sultanov R, Sumberia V, Sumowidagdo S, Swain S, Szarka I, Tabassam U, Taghavi SF, Taillepied G, Takahashi J, Tambave GJ, Tang S, Tang Z, Tapia Takaki JD, Tapus N, Tarasovicova LA, Tarzila MG, Tassielli GF, Tauro A, Telesca A, Terlizzi L, Terrevoli C, Tersimonov G, Thakur S, Thomas D, Tikhonov A, Timmins AR, Tkacik M, Tkacik T, Toia A, Tokumoto R, Topilskaya N, Toppi M, Torales-Acosta F, Tork T, Torres Ramos AG, Trifiró A, Triolo AS, Tripathy S, Tripathy T, Trogolo S, Trubnikov V, Trzaska WH, Trzcinski TP, Turrisi R, Tveter TS, Ullaland K, Ulukutlu B, Uras A, Urioni M, Usai GL, Vala M, Valle N, van Doremalen LVR, van Leeuwen M, van Veen CA, van Weelden RJG, Vande Vyvre P, Varga D, Varga Z, Varga-Kofarago M, Vasileiou M, Vasiliev A, Vázquez Doce O, Vechernin V, Vercellin E, Vergara Limón S, Vermunt L, Vértesi R, Verweij M, Vickovic L, Vilakazi Z, Villalobos Baillie O, Vino G, Vinogradov A, Virgili T, Vislavicius V, Vodopyanov A, Volkel B, Völkl MA, Voloshin K, Voloshin SA, Volpe G, von Haller B, Vorobyev I, Vozniuk N, Vrláková J, Wagner B, Wang C, Wang D, Wegrzynek A, Weiglhofer FT, Wenzel SC, Wessels JP, Weyhmiller SL, Wiechula J, Wikne J, Wilk G, Wilkinson J, Willems GA, Windelband B, Winn M, Wright JR, Wu W, Wu Y, Xu R, Yadav A, Yadav AK, Yalcin S, Yamaguchi Y, Yamakawa K, Yang S, Yano S, Yin Z, Yoo IK, Yoon JH, Yuan S, Yuncu A, Zaccolo V, Zampolli C, Zanoli HJC, Zanone F, Zardoshti N, Zarochentsev A, Závada P, Zaviyalov N, Zhalov M, Zhang B, Zhang L, Zhang S, Zhang X, Zhang Y, Zhang Z, Zhao M, Zherebchevskii V, Zhi Y, Zhigareva N, Zhou D, Zhou Y, Zhu J, Zhu Y, Zinovjev G, Zugravel SC, Zurlo N. Measurement of the Lifetime and Λ Separation Energy of _{Λ}^{3}H. PHYSICAL REVIEW LETTERS 2023; 131:102302. [PMID: 37739380 DOI: 10.1103/physrevlett.131.102302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 01/18/2023] [Accepted: 07/21/2023] [Indexed: 09/24/2023]
Abstract
The most precise measurements to date of the _{Λ}^{3}H lifetime τ and Λ separation energy B_{Λ} are obtained using the data sample of Pb-Pb collisions at sqrt[s_{NN}]=5.02 TeV collected by ALICE at the LHC. The _{Λ}^{3}H is reconstructed via its charged two-body mesonic decay channel (_{Λ}^{3}H→^{3}He+π^{-} and the charge-conjugate process). The measured values τ=[253±11(stat)±6(syst)] ps and B_{Λ}=[102±63(stat)±67(syst)] keV are compatible with predictions from effective field theories and confirm that the _{Λ}^{3}H structure is consistent with a weakly bound system.
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Li J, Wang R, Mao N, Huang M, Qiu S, Wang J. Multimodal and multiscale evidence for network-based cortical thinning in major depressive disorder. Neuroimage 2023; 277:120265. [PMID: 37414234 DOI: 10.1016/j.neuroimage.2023.120265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 05/26/2023] [Accepted: 07/03/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is associated with widespread, irregular cortical thickness (CT) reductions across the brain. However, little is known regarding mechanisms that govern spatial distribution of the reductions. METHODS We combined multimodal MRI and genetic, cytoarchitectonic and chemoarchitectonic data to examine structural covariance, functional synchronization, gene co-expression, cytoarchitectonic similarity and chemoarchitectonic covariance between regions atrophied in MDD. RESULTS Regions atrophied in MDD were associated with significantly higher structural covariance, functional synchronization, gene co-expression and chemoarchitectonic covariance. These results were robust against methodological variations in brain parcellation and null model, reproducible in patients and controls, and independent of age at onset of MDD. Despite no significant differences in the cytoarchitectonic similarity, MDD-related CT reductions were susceptible to specific cytoarchitectonic class of association cortex. Further, we found that nodal shortest path lengths to disease epicenters derived from structural (right supramarginal gyrus) and chemoarchitectonic covariance (right sulcus intermedius primus) networks of healthy brains were correlated with the extent to which a region was atrophied in MDD, supporting the transneuronal spread hypothesis that regions closer to the epicenters are more susceptible to MDD. Finally, we showed that structural covariance and functional synchronization among regions atrophied in MDD were mainly related to genes enriched in metabolic and membrane-related processes, driven by genes in excitatory neurons, and associated with specific neurotransmitter transporters and receptors. CONCLUSIONS Altogether, our findings provide empirical evidence for and genetic and molecular insights into connectivity-constrained CT thinning in MDD.
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Acharya S, Adamová D, Adler A, Aglieri Rinella G, Agnello M, Agrawal N, Ahammed Z, Ahmad S, Ahn SU, Ahuja I, Akindinov A, Al-Turany M, Aleksandrov D, Alessandro B, Alfanda HM, Alfaro Molina R, Ali B, Ali Y, Alici A, Alizadehvandchali N, Alkin A, Alme J, Alocco G, Alt T, Altsybeev I, Anaam MN, Andrei C, Andronic A, Anguelov V, Antinori F, Antonioli P, Anuj C, Apadula N, Aphecetche L, Appelshäuser H, Arcelli S, Arnaldi R, Arsene IC, Arslandok M, Augustinus A, Averbeck R, Aziz S, Azmi MD, Badalà A, Baek YW, Bai X, Bailhache R, Bailung Y, Bala R, Balbino A, Baldisseri A, Balis B, Banerjee D, Banoo Z, Barbera R, Barioglio L, Barlou M, Barnaföldi GG, Barnby LS, Barret V, Barreto L, Bartels C, Barth K, Bartsch E, Baruffaldi F, Bastid N, Basu S, Batigne G, Battistini D, Batyunya B, Bauri D, Bazo Alba JL, Bearden IG, Beattie C, Becht P, Behera D, Belikov I, Bell Hechavarria ADC, Bellini F, Bellwied R, Belokurova S, Belyaev V, Bencedi G, Beole S, Bercuci A, Berdnikov Y, Berdnikova A, Bergmann L, Besoiu MG, Betev L, Bhaduri PP, Bhasin A, Bhat IR, Bhat MA, Bhattacharjee B, Bianchi L, Bianchi N, Bielčík J, Bielčíková J, Biernat J, Bilandzic A, Biro G, Biswas S, Blair JT, Blau D, Blidaru MB, Bluhme N, Blume C, Boca G, Bock F, Bodova T, Bogdanov A, Boi S, Bok J, Boldizsár L, Bolozdynya A, Bombara M, Bond PM, Bonomi G, Borel H, Borissov A, Bossi H, Botta E, Bratrud L, Braun-Munzinger P, Bregant M, Broz M, Bruno GE, Buckland MD, Budnikov D, Buesching H, Bufalino S, Bugnon O, Buhler P, Buthelezi Z, Butt JB, Bylinkin A, Bysiak SA, Cai M, Caines H, Caliva A, Calvo Villar E, Camacho JMM, Camacho RS, Camerini P, Canedo FDM, Carabas M, Carnesecchi F, Caron R, Castillo Castellanos J, Catalano F, Ceballos Sanchez C, Chakaberia I, Chakraborty P, Chandra S, Chapeland S, Chartier M, Chattopadhyay S, Chattopadhyay S, Chavez TG, Cheng T, Cheshkov C, Cheynis B, Chibante Barroso V, Chinellato DD, Chizzali ES, Cho J, Cho S, Chochula P, Christakoglou P, Christensen CH, Christiansen P, Chujo T, Ciacco M, Cicalo C, Cifarelli L, Cindolo F, Ciupek MR, Clai G, Colamaria F, Colburn JS, Colella D, Collu A, Colocci M, Concas M, Conesa Balbastre G, Conesa Del Valle Z, Contin G, Contreras JG, Coquet ML, Cormier TM, Cortese P, Cosentino MR, Costa F, Costanza S, Crochet P, Cruz-Torres R, Cuautle E, Cui P, Cunqueiro L, Dainese A, Danisch MC, Danu A, Das P, Das P, Das S, Dash S, De Caro A, de Cataldo G, De Cilladi L, de Cuveland J, De Falco A, De Gruttola D, De Marco N, De Martin C, De Pasquale S, Deb S, Degenhardt HF, Deja KR, Del Grande R, Dello Stritto L, Deng W, Dhankher P, Di Bari D, Di Mauro A, Diaz RA, Dietel T, Ding Y, Divià R, Dixit DU, Djuvsland Ø, Dmitrieva U, Dobrin A, Dönigus B, Dubey AK, Dubinski JM, Dubla A, Dudi S, Dupieux P, Durkac M, Dzalaiova N, Eder TM, Ehlers RJ, Eikeland VN, Eisenhut F, Elia D, Erazmus B, Ercolessi F, Erhardt F, Ersdal MR, Espagnon B, Eulisse G, Evans D, Evdokimov S, Fabbietti L, Faggin M, Faivre J, Fan F, Fan W, Fantoni A, Fasel M, Fecchio P, Feliciello A, Feofilov G, Fernández Téllez A, Ferrer MB, Ferrero A, Ferretti A, Feuillard VJG, Figiel J, Filova V, Finogeev D, Fionda FM, Fiorenza G, Flor F, Flores AN, Foertsch S, Fokin I, Fokin S, Fragiacomo E, Frajna E, Fuchs U, Funicello N, Furget C, Furs A, Gaardhøje JJ, Gagliardi M, Gago AM, Gal A, Galvan CD, Ganoti P, Garabatos C, Garcia JRA, Garcia-Solis E, Garg K, Gargiulo C, Garibli A, Garner K, Gauger EF, Gautam A, Gay Ducati MB, Germain M, Ghosh SK, Giacalone M, Gianotti P, Giubellino P, Giubilato P, Glaenzer AMC, Glässel P, Glimos E, Goh DJQ, Gonzalez V, González-Trueba LH, Gorbunov S, Gorgon M, Görlich L, Gotovac S, Grabski V, Graczykowski LK, Grecka E, Greiner L, Grelli A, Grigoras C, Grigoriev V, Grigoryan S, Grosa F, Grosse-Oetringhaus JF, Grosso R, Grund D, Guardiano GG, Guernane R, Guilbaud M, Gulbrandsen K, Gunji T, Guo W, Gupta A, Gupta R, Guzman SP, Gyulai L, Habib MK, Hadjidakis C, Hamagaki H, Hamid M, Han Y, Hannigan R, Haque MR, Harlenderova A, Harris JW, Harton A, Hasenbichler JA, Hassan H, Hatzifotiadou D, Hauer P, Havener LB, Heckel ST, Hellbär E, Helstrup H, Herman T, Herrera Corral G, Herrmann F, Hetland KF, Heybeck B, Hillemanns H, Hills C, Hippolyte B, Hofman B, Hohlweger B, Honermann J, Hong GH, Horak D, Horzyk A, Hosokawa R, Hou Y, Hristov P, Hughes C, Huhn P, Huhta LM, Hulse CV, Humanic TJ, Hushnud H, Hutson A, Hutter D, Iddon JP, Ilkaev R, Ilyas H, Inaba M, Innocenti GM, Ippolitov M, Isakov A, Isidori T, Islam MS, Ivanov M, Ivanov V, Izucheev V, Jablonski M, Jacak B, Jacazio N, Jacobs PM, Jadlovska S, Jadlovsky J, Jaffe L, Jahnke C, Janik MA, Janson T, Jercic M, Jevons O, Jimenez AAP, Jonas F, Jones PG, Jowett JM, Jung J, Jung M, Junique A, Jusko A, Kabus MJ, Kaewjai J, Kalinak P, Kalteyer AS, Kalweit A, Kaplin V, Karasu Uysal A, Karatovic D, Karavichev O, Karavicheva T, Karczmarczyk P, Karpechev E, Kashyap V, Kazantsev A, Kebschull U, Keidel R, Keijdener DLD, Keil M, Ketzer B, Khan AM, Khan S, Khanzadeev A, Kharlov Y, Khatun A, Khuntia A, Kileng B, Kim B, Kim C, Kim DJ, Kim EJ, Kim J, Kim JS, Kim J, Kim J, Kim M, Kim S, Kim T, Kirsch S, Kisel I, Kiselev S, Kisiel A, Kitowski JP, Klay JL, Klein J, Klein S, Klein-Bösing C, Kleiner M, Klemenz T, Kluge A, Knospe AG, Kobdaj C, Kollegger T, Kondratyev A, Kondratyeva N, Kondratyuk E, Konig J, Konigstorfer SA, Konopka PJ, Kornakov G, Koryciak SD, Kotliarov A, Kovalenko O, Kovalenko V, Kowalski M, Králik I, Kravčáková A, Kreis L, Krivda M, Krizek F, Krizkova Gajdosova K, Kroesen M, Krüger M, Krupova DM, Kryshen E, Krzewicki M, Kučera V, Kuhn C, Kuijer PG, Kumaoka T, Kumar D, Kumar L, Kumar N, Kundu S, Kurashvili P, Kurepin A, Kurepin AB, Kushpil S, Kvapil J, Kweon MJ, Kwon JY, Kwon Y, La Pointe SL, La Rocca P, Lai YS, Lakrathok A, Lamanna M, Langoy R, Larionov P, Laudi E, Lautner L, Lavicka R, Lazareva T, Lea R, Lehrbach J, Lemmon RC, León Monzón I, Lesch MM, Lesser ED, Lettrich M, Lévai P, Li X, Li XL, Lien J, Lietava R, Lim B, Lim SH, Lindenstruth V, Lindner A, Lippmann C, Liu A, Liu DH, Liu J, Lofnes IM, Loginov V, Loizides C, Loncar P, Lopez JA, Lopez X, López Torres E, Lu P, Luhder JR, Lunardon M, Luparello G, Ma YG, Maevskaya A, Mager M, Mahmoud T, Maire A, Malaev M, Malik NM, Malik QW, Malik SK, Malinina L, Mal'Kevich D, Mallick D, Mallick N, Mandaglio G, Manko V, Manso F, Manzari V, Mao Y, Margagliotti GV, Margotti A, Marín A, Markert C, Marquard M, Martin NA, Martinengo P, Martinez JL, Martínez MI, Martínez García G, Masciocchi S, Masera M, Masoni A, Massacrier L, Mastroserio A, Mathis AM, Matonoha O, Matuoka PFT, Matyja A, Mayer C, Mazuecos AL, Mazzaschi F, Mazzilli M, Mdhluli JE, Mechler AF, Melikyan Y, Menchaca-Rocha A, Meninno E, Menon AS, Meres M, Mhlanga S, Miake Y, Micheletti L, Migliorin LC, Mihaylov DL, Mikhaylov K, Mishra AN, Miśkowiec D, Modak A, Mohanty AP, Mohanty B, Khan MM, Molander MA, Moravcova Z, Mordasini C, Moreira De Godoy DA, Morozov I, Morsch A, Mrnjavac T, Muccifora V, Mudnic E, Muhuri S, Mulligan JD, Mulliri A, Munhoz MG, Munzer RH, Murakami H, Murray S, Musa L, Musinsky J, Myrcha JW, Naik B, Nair R, Nandi BK, Nania R, Nappi E, Nassirpour AF, Nath A, Nattrass C, Neagu A, Negru A, Nellen L, Nesbo SV, Neskovic G, Nesterov D, Nielsen BS, Nielsen EG, Nikolaev S, Nikulin S, Nikulin V, Noferini F, Noh S, Nomokonov P, Norman J, Novitzky N, Nowakowski P, Nyanin A, Nystrand J, Ogino M, Ohlson A, Okorokov VA, Oleniacz J, Oliveira Da Silva AC, Oliver MH, Onnerstad A, Oppedisano C, Ortiz Velasquez A, Oskarsson A, Otwinowski J, Oya M, Oyama K, Pachmayer Y, Padhan S, Pagano D, Paić G, Palasciano A, Panebianco S, Park J, Parkkila JE, Pathak SP, Patra RN, Paul B, Pei H, Peitzmann T, Peng X, Pereira LG, Pereira Da Costa H, Peresunko D, Perez GM, Perrin S, Pestov Y, Petráček V, Petrov V, Petrovici M, Pezzi RP, Piano S, Pikna M, Pillot P, Pinazza O, Pinsky L, Pinto C, Pisano S, Płoskoń M, Planinic M, Pliquett F, Poghosyan MG, Politano S, Poljak N, Pop A, Porteboeuf-Houssais S, Porter J, Pozdniakov V, Prasad SK, Prasad S, Preghenella R, Prino F, Pruneau CA, Pshenichnov I, Puccio M, Qiu S, Quaglia L, Quishpe RE, Ragoni S, Rakotozafindrabe A, Ramello L, Rami F, Ramirez SAR, Rancien TA, Raniwala R, Raniwala S, Räsänen SS, Rath R, Ravasenga I, Read KF, Redelbach AR, Redlich K, Rehman A, Reichelt P, Reidt F, Reme-Ness HA, Rescakova Z, Reygers K, Riabov A, Riabov V, Ricci R, Richert T, Richter M, Riegler W, Riggi F, Ristea C, Rodríguez Cahuantzi M, Røed K, Rogalev R, Rogochaya E, Rogoschinski TS, Rohr D, Röhrich D, Rojas PF, Rojas Torres S, Rokita PS, Ronchetti F, Rosano A, Rosas ED, Rossi A, Roy A, Roy P, Roy S, Rubini N, Rueda OV, Ruggiano D, Rui R, Rumyantsev B, Russek PG, Russo R, Rustamov A, Ryabinkin E, Ryabov Y, Rybicki A, Rytkonen H, Rzesa W, Saarimaki OAM, Sadek R, Sadovsky S, Saetre J, Šafařík K, Saha SK, Saha S, Sahoo B, Sahoo P, Sahoo R, Sahoo S, Sahu D, Sahu PK, Saini J, Sajdakova K, Sakai S, Salvan MP, Sambyal S, Saramela TB, Sarkar D, Sarkar N, Sarma P, Sarritzu V, Sarti VM, Sas MHP, Schambach J, Scheid HS, Schiaua C, Schicker R, Schmah A, Schmidt C, Schmidt HR, Schmidt MO, Schmidt M, Schmidt NV, Schmier AR, Schotter R, Schukraft J, Schwarz K, Schweda K, Scioli G, Scomparin E, Seger JE, Sekiguchi Y, Sekihata D, Selyuzhenkov I, Senyukov S, Seo JJ, Serebryakov D, Šerkšnytė L, Sevcenco A, Shaba TJ, Shabanov A, Shabetai A, Shahoyan R, Shaikh W, Shangaraev A, Sharma A, Sharma D, Sharma H, Sharma M, Sharma N, Sharma S, Sharma U, Shatat A, Sheibani O, Shigaki K, Shimomura M, Shirinkin S, Shou Q, Sibiriak Y, Siddhanta S, Siemiarczuk T, Silva TF, Silvermyr D, Simantathammakul T, Simeonov R, Simonetti G, Singh B, Singh B, Singh R, Singh R, Singh R, Singh VK, Singhal V, Sinha T, Sitar B, Sitta M, Skaali TB, Skorodumovs G, Slupecki M, Smirnov N, Snellings RJM, Solheim EH, Soncco C, Song J, Songmoolnak A, Soramel F, Sorensen S, Spijkers R, Sputowska I, Staa J, Stachel J, Stan I, Steffanic PJ, Stiefelmaier SF, Stocco D, Storehaug I, Storetvedt MM, Stratmann P, Strazzi S, Stylianidis CP, Suaide AAP, Suire C, Sukhanov M, Suljic M, Sumberia V, Sumowidagdo S, Swain S, Szabo A, Szarka I, Tabassam U, Taghavi SF, Taillepied G, Takahashi J, Tambave GJ, Tang S, Tang Z, Tapia Takaki JD, Tapus N, Tarasovicova LA, Tarzila MG, Tauro A, Telesca A, Terlizzi L, Terrevoli C, Tersimonov G, Thakur S, Thomas D, Tieulent R, Tikhonov A, Timmins AR, Tkacik M, Tkacik T, Toia A, Topilskaya N, Toppi M, Torales-Acosta F, Tork T, Torres Ramos AG, Trifiró A, Triolo AS, Tripathy S, Tripathy T, Trogolo S, Trubnikov V, Trzaska WH, Trzcinski TP, Turrisi R, Tveter TS, Ullaland K, Ulukutlu B, Uras A, Urioni M, Usai GL, Vala M, Valle N, Vallero S, van Doremalen LVR, van Leeuwen M, van Veen CA, van Weelden RJG, Vande Vyvre P, Varga D, Varga Z, Varga-Kofarago M, Vasileiou M, Vasiliev A, Vázquez Doce O, Vechernin V, Vercellin E, Vergara Limón S, Vermunt L, Vértesi R, Verweij M, Vickovic L, Vilakazi Z, Villalobos Baillie O, Vino G, Vinogradov A, Virgili T, Vislavicius V, Vodopyanov A, Volkel B, Völkl MA, Voloshin K, Voloshin SA, Volpe G, von Haller B, Vorobyev I, Vozniuk N, Vrláková J, Wagner B, Wang C, Wang D, Weber M, Wegrzynek A, Weiglhofer FT, Wenzel SC, Wessels JP, Weyhmiller SL, Wiechula J, Wikne J, Wilk G, Wilkinson J, Willems GA, Windelband B, Winn M, Wright JR, Wu W, Wu Y, Xu R, Yadav AK, Yalcin S, Yamaguchi Y, Yamakawa K, Yang S, Yano S, Yin Z, Yoo IK, Yoon JH, Yuan S, Yuncu A, Zaccolo V, Zampolli C, Zanoli HJC, Zanone F, Zardoshti N, Zarochentsev A, Závada P, Zaviyalov N, Zhalov M, Zhang B, Zhang S, Zhang X, Zhang Y, Zhao M, Zherebchevskii V, Zhi Y, Zhigareva N, Zhou D, Zhou Y, Zhu J, Zhu Y, Zinovjev G, Zurlo N. Measurement of the J/ψ Polarization with Respect to the Event Plane in Pb-Pb Collisions at the LHC. PHYSICAL REVIEW LETTERS 2023; 131:042303. [PMID: 37566833 DOI: 10.1103/physrevlett.131.042303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 02/09/2023] [Accepted: 03/28/2023] [Indexed: 08/13/2023]
Abstract
We study the polarization of inclusive J/ψ produced in Pb-Pb collisions at sqrt[s_{NN}]=5.02 TeV at the LHC in the dimuon channel, via the measurement of the angular distribution of its decay products. We perform the study in the rapidity region 2.5
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