cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15154/1503674
title: Implicit attitudes toward dieting and thinness distinguish fat-phobic and non-fat-phobic anorexia nervosa from avoidant/restrictive food intake disorder in adolescents.

description: OBJECTIVE: The majority of individuals with anorexia nervosa (AN) have a fat-phobic (FP-AN) presentation in which they explicitly endorse fear of weight gain, but a minority present as non-fat-phobic (NFP-AN). Diagnostic criteria for avoidant/restrictive food intake disorder (ARFID) specifically exclude fear of weight gain. Differential diagnosis between NFP-AN and ARFID can be challenging and explicit endorsements do not necessarily match internal beliefs. METHOD: Ninety-four adolescent females (39 FP-AN, 13 NFP-AN, 10 low-weight ARFID, 32 healthy controls [HC]) completed implicit association tests (IATs) categorizing statements as pro-dieting or non-dieting and true or false (questionnaire-based IAT), and images of female models as underweight or normal-weight and words as positive or negative (picture-based IAT). We used the Eating Disorder Examination to categorize FP- versus NFP-AN presentations. RESULTS: Individuals with FP-AN and NFP-AN demonstrated a stronger association between pro-dieting and true statements, whereas those with ARFID and HCs demonstrated a stronger association between pro-dieting and false statements. Furthermore, while all groups demonstrated a negative implicit association with underweight models, HC participants had a significantly stronger negative association than individuals with FP-AN and NFP-AN. DISCUSSION: Individuals with NFP-AN exhibited a mixed pattern in which some of their implicit associations were consistent with their explicit endorsements, whereas others were not, possibly reflecting a minimizing response style on explicit measures. In contrast, individuals with ARFID demonstrated implicit associations consistent with explicit endorsements. Replication studies are needed to confirm whether the questionnaire-based IAT is a promising method of differentiating between restrictive eating disorders that share similar clinical characteristics.
DOI: 10.15154/1503675
title: Implicit attitudes toward dieting and thinness distinguish fat-phobic and non-fat-phobic anorexia nervosa from avoidant/restrictive food intake disorder in adolescents.

description: OBJECTIVE: The majority of individuals with anorexia nervosa (AN) have a fat-phobic (FP-AN) presentation in which they explicitly endorse fear of weight gain, but a minority present as non-fat-phobic (NFP-AN). Diagnostic criteria for avoidant/restrictive food intake disorder (ARFID) specifically exclude fear of weight gain. Differential diagnosis between NFP-AN and ARFID can be challenging and explicit endorsements do not necessarily match internal beliefs. METHOD: Ninety-four adolescent females (39 FP-AN, 13 NFP-AN, 10 low-weight ARFID, 32 healthy controls [HC]) completed implicit association tests (IATs) categorizing statements as pro-dieting or non-dieting and true or false (questionnaire-based IAT), and images of female models as underweight or normal-weight and words as positive or negative (picture-based IAT). We used the Eating Disorder Examination to categorize FP- versus NFP-AN presentations. RESULTS: Individuals with FP-AN and NFP-AN demonstrated a stronger association between pro-dieting and true statements, whereas those with ARFID and HCs demonstrated a stronger association between pro-dieting and false statements. Furthermore, while all groups demonstrated a negative implicit association with underweight models, HC participants had a significantly stronger negative association than individuals with FP-AN and NFP-AN. DISCUSSION: Individuals with NFP-AN exhibited a mixed pattern in which some of their implicit associations were consistent with their explicit endorsements, whereas others were not, possibly reflecting a minimizing response style on explicit measures. In contrast, individuals with ARFID demonstrated implicit associations consistent with explicit endorsements. Replication studies are needed to confirm whether the questionnaire-based IAT is a promising method of differentiating between restrictive eating disorders that share similar clinical characteristics.
DOI: 10.15154/1503294
title: Dysregulated Brain Dynamics in a Triple-Network Saliency Model of Schizophrenia and Its Relation to Psychosis.

description: BACKGROUND: Schizophrenia is a highly disabling psychiatric disorder characterized by a range of positive "psychosis" symptoms. However, the neurobiology of psychosis and associated systems-level disruptions in the brain remain poorly understood. Here, we test an aberrant saliency model of psychosis, which posits that dysregulated dynamic cross-network interactions among the salience network (SN), central executive network, and default mode network contribute to positive symptoms in patients with schizophrenia. METHODS: Using task-free functional magnetic resonance imaging data from two independent cohorts, we examined 1) dynamic time-varying cross-network interactions among the SN, central executive network, and default mode network in 130 patients with schizophrenia versus well-matched control subjects; 2) accuracy of a saliency model-based classifier for distinguishing dynamic brain network interactions in patients versus control subjects; and 3) the relation between SN-centered network dynamics and clinical symptoms. RESULTS: In both cohorts, we found that dynamic SN-centered cross-network interactions were significantly reduced, less persistent, and more variable in patients with schizophrenia compared with control subjects. Multivariate classification analysis identified dynamic SN-centered cross-network interaction patterns as factors that distinguish patients from control subjects, with accuracies of 78% and 80% in the two cohorts, respectively. Crucially, in both cohorts, dynamic time-varying measures of SN-centered cross-network interactions were correlated with positive, but not negative, symptoms. CONCLUSIONS: Aberrations in time-varying engagement of the SN with the central executive network and default mode network is a clinically relevant neurobiological signature of psychosis in schizophrenia. Our findings provide strong evidence for dysregulated brain dynamics in a triple-network saliency model of schizophrenia and inform theoretically motivated systems neuroscience approaches for characterizing aberrant brain dynamics associated with psychosis.
DOI: 10.15154/1503530
title: Human Connectome Project-Development (HCP-D): Initial Release

description: Initial release of unprocessed data and preprocessed structural data for 100+ subjects.
DOI: 10.15154/1503206
title: Heritability of nested hierarchical structural brain network.

description: When a brain network is constructed by an existing parcellation method, the topological structure of the network changes depending on the scale of the parcellation. To avoid the scale dependency, we propose to construct a nested hierarchical structural brain network by subdividing the existing parcellation hierarchically. The method is applied in diffusion tensor imaging study of 111 twins in characterizing the topology of the brain network. The genetic contribution of the whole brain structural connectivity is determined and shown to be robustly present over different network scales.
DOI: 10.15154/1503401
title: Distinguishing Pediatric Chiari I Malformation Beyond Tonsillar Position: Morphometric Analysis of Symptomatic, Incidental/Symptom Free, and Control Cases by Leveraging the NIMH ABCD MRI Repository

description: This project aims to examine image within the ABCD data and find cases that have incidental Chiari I malformation. The images sets that are found with tonsillar position below the foremen magnum will be match with pediatric cases with Chiari I malformation with similar tonsillar descent. Morphometric analysis will be conducted at the midsagittal plane to determine how the overall morphometric differ between the incidental cases and the symptomatic cases.
DOI: 10.15154/1503416
title: Relationship Between Impulsivity, Self-Harm Behavior, and Suicidal Ideation in a Preadolescent Sample From the Adolescent Brain Cognitive Development (ABCD) Study

description: Background: When assessing for suicide risk, research has shown that individual propensity to act impulsively is a predictive factor in adolescent clinical samples. To determine whether this relationship is also present in younger children, this study aims to identify the relationship between motivational systems and suicidal ideation (SI) with/without non-suicidal self-injury (NSSI) among preadolescents. Methods: The BIS/BAS questionnaire and K-SADS interview were used to examine the interaction between motivational systems and suicidal behavior in children who endorsed both prior NSSI and SI (n = 90; mean age = 10.1 yrs), past NSSI only (n = 132; mean age = 9.88 yrs), past SI only (n = 285; mean age = 9.98 years), and controls who endorsed neither NSSI or SI (n = 285; mean age = 10.08). Results: NSSI+SI children scored higher in BIS, BAS-drive, BAS-fun seeking, and BAS-reward responsiveness scales (all p &lt; 0.05) compared to controls. Past NSSI only (all p &lt;0.05) and past SI only (all p &lt; 0.001) children scored higher in both BAS-fun seeking and BAS-reward responsiveness domains compared to controls. Conclusion: Children who endorsed NSSI, SI, or both scored higher on indices of impulsivity than controls. Additionally, children who endorsed both NSSI and SI scored higher on inhibition measures than controls. These results suggest that NSSI and SI children are experiencing greater deficits in approach and avoidance systems. Future research should aim to identify neural correlates of these systems to better understand impulsivity and inhibition as a risk factor for self-injurious behavior and suicidal ideation in youth.
DOI: 10.15154/1503673
title: Implicit attitudes toward dieting and thinness distinguish fat-phobic and non-fat-phobic anorexia nervosa from avoidant/restrictive food intake disorder in adolescents.

description: OBJECTIVE: The majority of individuals with anorexia nervosa (AN) have a fat-phobic (FP-AN) presentation in which they explicitly endorse fear of weight gain, but a minority present as non-fat-phobic (NFP-AN). Diagnostic criteria for avoidant/restrictive food intake disorder (ARFID) specifically exclude fear of weight gain. Differential diagnosis between NFP-AN and ARFID can be challenging and explicit endorsements do not necessarily match internal beliefs. METHOD: Ninety-four adolescent females (39 FP-AN, 13 NFP-AN, 10 low-weight ARFID, 32 healthy controls [HC]) completed implicit association tests (IATs) categorizing statements as pro-dieting or non-dieting and true or false (questionnaire-based IAT), and images of female models as underweight or normal-weight and words as positive or negative (picture-based IAT). We used the Eating Disorder Examination to categorize FP- versus NFP-AN presentations. RESULTS: Individuals with FP-AN and NFP-AN demonstrated a stronger association between pro-dieting and true statements, whereas those with ARFID and HCs demonstrated a stronger association between pro-dieting and false statements. Furthermore, while all groups demonstrated a negative implicit association with underweight models, HC participants had a significantly stronger negative association than individuals with FP-AN and NFP-AN. DISCUSSION: Individuals with NFP-AN exhibited a mixed pattern in which some of their implicit associations were consistent with their explicit endorsements, whereas others were not, possibly reflecting a minimizing response style on explicit measures. In contrast, individuals with ARFID demonstrated implicit associations consistent with explicit endorsements. Replication studies are needed to confirm whether the questionnaire-based IAT is a promising method of differentiating between restrictive eating disorders that share similar clinical characteristics.
DOI: 10.17028/rd.lboro.22839431
title: Supplementary information files for Assessing community readiness for overweight and obesity prevention among Ghanaian immigrants living in Greater Manchester, England

description: Supplementary files for article Assessing community readiness for overweight and obesity prevention among Ghanaian immigrants living in Greater Manchester, England <br> Aim: This study assesses community readiness to prevent overweight/obesity among Ghanaian immigrants in Greater Manchester, England. <br> Subject and method: The Community Readiness Model (CRM) was applied using a semi-structured interview tool with 13 key informants (religious and other key community members) addressing five readiness dimensions. A maximum of 9 points per dimension (from 1 = no awareness to 9 = high level of community ownership), was assigned, alongside qualitative textual thematic analysis. <br> Results: The mean readiness score indicated that the study population was in the “vague awareness stage” (3.08 ± 0.98). The highest score was observed for community knowledge of the issue (4.42 ± 0.99) which was in the pre-planning phase, followed by community climate (vague awareness; 3.58 ± 0.62). The lowest scores were seen for resources (denial/resistance; 2.70 ± 0.61) and knowledge of efforts (no awareness; 1.53 ± 0.44). Findings identified structural barriers, including poor living conditions as a result of poorly paid menial jobs and high workload, contributing to the adoption of unhealthy lifestyle behaviours. Socio-cultural factors such as fatalism, hereditary factors, and social status were associated with acceptance of overweight. <br> Conclusion: Despite recognising overweight/obesity as an important health issue in these communities, especially among women, it is not seen as a priority for targeting change. To help these communities to become more ready for interventions that tackle overweight/obesity, the focus should initially be to address the structural barriers identified, including reducing poverty, alongside designing interventions that work with these structural barriers, and thereafter focus on the socio-cultural factors.
DOI: 10.17028/rd.lboro.22839431.v1
title: Supplementary information files for Assessing community readiness for overweight and obesity prevention among Ghanaian immigrants living in Greater Manchester, England

description: Supplementary files for article Assessing community readiness for overweight and obesity prevention among Ghanaian immigrants living in Greater Manchester, England <br> Aim: This study assesses community readiness to prevent overweight/obesity among Ghanaian immigrants in Greater Manchester, England. <br> Subject and method: The Community Readiness Model (CRM) was applied using a semi-structured interview tool with 13 key informants (religious and other key community members) addressing five readiness dimensions. A maximum of 9 points per dimension (from 1 = no awareness to 9 = high level of community ownership), was assigned, alongside qualitative textual thematic analysis. <br> Results: The mean readiness score indicated that the study population was in the “vague awareness stage” (3.08 ± 0.98). The highest score was observed for community knowledge of the issue (4.42 ± 0.99) which was in the pre-planning phase, followed by community climate (vague awareness; 3.58 ± 0.62). The lowest scores were seen for resources (denial/resistance; 2.70 ± 0.61) and knowledge of efforts (no awareness; 1.53 ± 0.44). Findings identified structural barriers, including poor living conditions as a result of poorly paid menial jobs and high workload, contributing to the adoption of unhealthy lifestyle behaviours. Socio-cultural factors such as fatalism, hereditary factors, and social status were associated with acceptance of overweight. <br> Conclusion: Despite recognising overweight/obesity as an important health issue in these communities, especially among women, it is not seen as a priority for targeting change. To help these communities to become more ready for interventions that tackle overweight/obesity, the focus should initially be to address the structural barriers identified, including reducing poverty, alongside designing interventions that work with these structural barriers, and thereafter focus on the socio-cultural factors.
DOI: 10.34740/kaggle/dsv/5698450
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.19091423
title: Absence of enterotypes in the human gut microbiomes reanalyzed with non-linear dimensionality reduction methods

description: Here we provide data and software for the work "Absence of enterotypes in the human gut microbiomes reanalyzed with non-linear dimensionality reduction methods". <br> Enterotypes of the human gut microbiome have been proposed to be a powerful prognostic tool to evaluate the correlation between lifestyle, nutrition, and disease. However, the number of enterotypes suggested in the literature ranged from two to four. The growth of available metagenome data and the use of exact, non-linear methods of data analysis challenges the very concept of clusters in the multidimensional space of bacterial microbiomes. <br> We demonstrate the presence of a lower-dimensional structure in the microbiome space, with high-dimensional data concentrated near a low-dimensional non-linear submanifold, but the absence of distinct and stable clusters that could represent enterotypes. This observation is robust with regard to diverse combinations of dimensionality reduction techniques and clustering algorithms.<br> We used <strong>16S rRNA </strong>genotype data from the National Institutes of Health <strong>Human Microbiome Project (HMP)</strong> and <strong>American Gut Project (AGP) </strong>presented in <strong>Order, Family, and Genus taxonomic levels (O, F, and G, respectively)</strong>. These largest open-access available datasets provide a sufficient number of data points for correct estimation of the clustering partition and constructing a manifold. We used 4587 HMP samples from stool and rectum body sites downloaded from https://portal.hmpdacc.org/ and 9511 samples from AGP downloaded from https://figshare.com/ as abundance matrices. For comparison with the original research, we also analyzed Sanger, Illumina, and Pyroseq datasets from (http://www.bork.embl.de/Docu/Arumugam_et_al_2011/). <br> All datasets are provided in the `data.zip` and normalized by dividing the Operational Taxonomic Units (OTUs) values by the total sum of abundances for a given data sample.
DOI: 10.6084/m9.figshare.19091423.v4
title: Absence of enterotypes in the human gut microbiomes reanalyzed with non-linear dimensionality reduction methods

description: Here we provide data and software for the work "Absence of enterotypes in the human gut microbiomes reanalyzed with non-linear dimensionality reduction methods". <br> <br> Enterotypes of the human gut microbiome have been proposed to be a powerful prognostic tool to evaluate the correlation between lifestyle, nutrition, and disease. However, the number of enterotypes suggested in the literature ranged from two to four. The growth of available metagenome data and the use of exact, non-linear methods of data analysis challenges the very concept of clusters in the multidimensional space of bacterial microbiomes. <br> We demonstrate the presence of a lower-dimensional structure in the microbiome space, with high-dimensional data concentrated near a low-dimensional non-linear submanifold, but the absence of distinct and stable clusters that could represent enterotypes. This observation is robust with regard to diverse combinations of dimensionality reduction techniques and clustering algorithms.<br> <br> We used <strong>16S rRNA </strong>genotype data from the National Institutes of Health <strong>Human Microbiome Project (HMP)</strong> and <strong>American Gut Project (AGP) </strong>presented in <strong>Order, Family, and Genus taxonomic levels (O, F, and G, respectively)</strong>. These largest open-access available datasets provide a sufficient number of data points for correct estimation of the clustering partition and constructing a manifold. We used 3457 HMP samples from stool and rectum body sites downloaded from https://portal.hmpdacc.org/ and 9511 samples from AGP downloaded from https://figshare.com/ as abundance matrices. <br> All datasets were normalized by dividing the Operational Taxonomic Units (OTUs) values by the total sum of abundances for a given data sample.
DOI: 10.6084/m9.figshare.21667763
title: Consistency across multi-omics layers in a drug-perturbed gut microbial community

description: Pre-processed data used for generating figures of the paper.
DOI: 10.6084/m9.figshare.21667763.v2
title: Consistency across multi-omics layers in a drug-perturbed gut microbial community

description: Pre-processed data used for generating figures of the paper.
DOI: 10.5517/ccdc.csd.cc2c3mz3
title: CCDC 2178245: Experimental Crystal Structure Determination

description: Related Article: Yaru Tian, Yunlong Guo, Xue Dong, Xintong Wan, Kuan-Heng Cheng, Rong Chang, Shunshun Li, Xiaoyu Cao, Yi-Tsu Chan, Andrew C.-H. Sue|2023|Nat. Synth.|2|395|doi:10.1038/s44160-022-00235-w
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c3n5b
title: CCDC 2178251: Experimental Crystal Structure Determination

description: Related Article: Yaru Tian, Yunlong Guo, Xue Dong, Xintong Wan, Kuan-Heng Cheng, Rong Chang, Shunshun Li, Xiaoyu Cao, Yi-Tsu Chan, Andrew C.-H. Sue|2023|Nat. Synth.|2|395|doi:10.1038/s44160-022-00235-w
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c3n6c
title: CCDC 2178252: Experimental Crystal Structure Determination

description: Related Article: Yaru Tian, Yunlong Guo, Xue Dong, Xintong Wan, Kuan-Heng Cheng, Rong Chang, Shunshun Li, Xiaoyu Cao, Yi-Tsu Chan, Andrew C.-H. Sue|2023|Nat. Synth.|2|395|doi:10.1038/s44160-022-00235-w
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d3w5l
title: CCDC 2208259: Experimental Crystal Structure Determination

description: Related Article: Yaru Tian, Yunlong Guo, Xue Dong, Xintong Wan, Kuan-Heng Cheng, Rong Chang, Shunshun Li, Xiaoyu Cao, Yi-Tsu Chan, Andrew C.-H. Sue|2023|Nat. Synth.|2|395|doi:10.1038/s44160-022-00235-w
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.