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- Kanai, M, et al.
(författare)
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- 2023
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swepub:Mat__t
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- Glasbey, JC, et al.
(författare)
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- 2021
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swepub:Mat__t
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- Niemi, MEK, et al.
(författare)
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- 2021
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swepub:Mat__t
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- Baldwin, H, et al.
(författare)
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Neuroanatomical heterogeneity and homogeneity in individuals at clinical high risk for psychosis
- 2022
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Ingår i: Translational psychiatry. - : Springer Science and Business Media LLC. - 2158-3188. ; 12:1, s. 297-
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Tidskriftsartikel (refereegranskat)abstract
- Individuals at Clinical High Risk for Psychosis (CHR-P) demonstrate heterogeneity in clinical profiles and outcome features. However, the extent of neuroanatomical heterogeneity in the CHR-P state is largely undetermined. We aimed to quantify the neuroanatomical heterogeneity in structural magnetic resonance imaging measures of cortical surface area (SA), cortical thickness (CT), subcortical volume (SV), and intracranial volume (ICV) in CHR-P individuals compared with healthy controls (HC), and in relation to subsequent transition to a first episode of psychosis. The ENIGMA CHR-P consortium applied a harmonised analysis to neuroimaging data across 29 international sites, including 1579 CHR-P individuals and 1243 HC, offering the largest pooled CHR-P neuroimaging dataset to date. Regional heterogeneity was indexed with the Variability Ratio (VR) and Coefficient of Variation (CV) ratio applied at the group level. Personalised estimates of heterogeneity of SA, CT and SV brain profiles were indexed with the novel Person-Based Similarity Index (PBSI), with two complementary applications. First, to assess the extent of within-diagnosis similarity or divergence of neuroanatomical profiles between individuals. Second, using a normative modelling approach, to assess the ‘normativeness’ of neuroanatomical profiles in individuals at CHR-P. CHR-P individuals demonstrated no greater regional heterogeneity after applying FDR corrections. However, PBSI scores indicated significantly greater neuroanatomical divergence in global SA, CT and SV profiles in CHR-P individuals compared with HC. Normative PBSI analysis identified 11 CHR-P individuals (0.70%) with marked deviation (>1.5 SD) in SA, 118 (7.47%) in CT and 161 (10.20%) in SV. Psychosis transition was not significantly associated with any measure of heterogeneity. Overall, our examination of neuroanatomical heterogeneity within the CHR-P state indicated greater divergence in neuroanatomical profiles at an individual level, irrespective of psychosis conversion. Further large-scale investigations are required of those who demonstrate marked deviation.
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- Haas, SS, et al.
(författare)
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Normative modeling of brain morphometry in Clinical High-Risk for Psychosis
- 2023
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Ingår i: bioRxiv : the preprint server for biology. - : Cold Spring Harbor Laboratory.
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- ImportanceThe lack of robust neuroanatomical markers of psychosis risk has been traditionally attributed to heterogeneity. A complementary hypothesis is that variation in neuroanatomical measures in the majority of individuals at psychosis risk may be nested within the range observed in healthy individuals.ObjectiveTo quantify deviations from the normative range of neuroanatomical variation in individuals at clinical high-risk for psychosis (CHR-P) and evaluate their overlap with healthy variation and their association with positive symptoms, cognition, and conversion to a psychotic disorder.Design, Setting, and ParticipantsClinical, IQ and FreeSurfer-derived regional measures of cortical thickness (CT), cortical surface area (SA), and subcortical volume (SV) from 1,340 CHR-P individuals [47.09% female; mean age: 20.75 (4.74) years] and 1,237 healthy individuals [44.70% female; mean age: 22.32 (4.95) years] from 29 international sites participating in the ENIGMA Clinical High Risk for Psychosis Working Group.Main Outcomes and MeasuresFor each regional morphometric measure, z-scores were computed that index the degree of deviation from the normative means of that measure in a healthy reference population (N=37,407). Average deviation scores (ADS) for CT, SA, SV, and globally across all measures (G) were generated by averaging the respective regional z-scores. Regression analyses were used to quantify the association of deviation scores with clinical severity and cognition and two-proportion z-tests to identify case-control differences in the proportion of individuals with infranormal (z<-1.96) or supranormal (z>1.96) scores.ResultsCHR-P and healthy individuals overlapped in the distributions of the observed values, regional z-scores, and all ADS vales. The proportion of CHR-P individuals with infranormal or supranormal values in any metric was low (<12%) and similar to that of healthy individuals. CHR-P individuals who converted to psychosis compared to those who did not convert had a higher percentage of infranormal values in temporal regions (5-7% vs 0.9-1.4%). In the CHR-P group, only the ADSSAshowed significant but weak associations (|β|<0.09; PFDR<0.05) with positive symptoms and IQ.Conclusions and RelevanceThe study findings challenge the usefulness of macroscale neuromorphometric measures as diagnostic biomarkers of psychosis risk and suggest that such measures do not provide an adequate explanation for psychosis risk.Key pointsQuestionIs the risk of psychosis associated with brain morphometric changes that deviate significantly from healthy variation?FindingsIn this study of 1340 individuals high-risk for psychosis (CHR-P) and 1237 healthy participants, individual-level variation in macroscale neuromorphometric measures of the CHR-P group was largely nested within healthy variation and was not associated with the severity of positive psychotic symptoms or conversion to a psychotic disorder.MeaningThe findings suggest the macroscale neuromorphometric measures have limited utility as diagnostic biomarkers of psychosis risk.
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- Kim, Myung Ja, et al.
(författare)
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Effects of Value-Belief-Norm Theory, ESG, and AI on Space Tourist Behavior for Sustainability With Three Types of Space Tourism
- 2024
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Ingår i: Journal of Travel Research. - : Sage Publications. - 0047-2875 .- 1552-6763. ; 63:6, s. 1395-1410
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Tidskriftsartikel (refereegranskat)abstract
- Since reusable launch vehicles have revolutionized access to space, space tourism has received enormous policy and research attention. However, such growth is occurring within a wider context of concerns over climate change, emissions, and space debris. Although the space industries have enormous environmental impacts, few studies have been undertaken on the sustainability of space tourism. Therefore, we aim to create and assess an extended value-beliefs-norms theory with environmental, social, and governance (ESG) factors, trust in artificial intelligence (AI), and the benefits of AI, in comparing three types of space tourism (Earth, suborbital, and orbital). To achieve the goals, multi-method analyses of 1,000 respondents were applied, including partial least squares-structural equation modeling, multi-group analysis, fuzzy-set Qualitative Comparative Analysis, and deep learning. Results revealed that the extended value-belief-norm model well explains space tourist behavior, ESG also has significant roles on the research model, and the three types have unique characteristics.
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- Kim, Myung Ja, et al.
(författare)
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Orbital and sub-orbital space tourism : motivation, constraint and artificial intelligence
- 2024
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Ingår i: Tourism Review. - : Emerald Group Publishing Limited. - 1660-5373 .- 1759-8451. ; 79:2, s. 392-407
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Tidskriftsartikel (refereegranskat)abstract
- PurposeThere is limited research on the behavior of different categories of space tourists as identified by different types of space tourism. To address this deficiency, the purpose of this study is to examine what factors make consumers participate in orbital and/or suborbital space tourism, along with three dimensions of motivation, constraint and artificial intelligence. To achieve this study's goals, a comprehensive research model was developed that included three dimensions of intrinsic and extrinsic motivation, intrapersonal and interpersonal constraint and awareness of and trust in artificial intelligence, in comparing orbital and suborbital space tourism groups. Design/methodology/approachA questionnaire was carried out with respondents who wanted to participate in orbital (n = 332) and suborbital (n = 332) space tourism in the future. Partial least squares-structural equation modeling, fuzzy-set qualitative comparative analysis, multi-group analysis and deep learning were used to understand potential space tourist behavior. FindingsExtrinsic motivation has the greatest positive impact on behavioral intention, followed by awareness of and trust in artificial intelligence, while intrapersonal constraint strongly negatively affects behavioral intention. Surprisingly, interpersonal constraint is insignificant by partial least squares-structural equation modeling but is still one of sufficient causal configurations by fuzzy-set qualitative comparative analysis. Interestingly, the two types of space tourism have very distinct characteristics. Originality/valueThis study created a comprehensive integrated research model with three dimensions of motivation, constraint and artificial intelligence, along with potential orbital and suborbital space tourist groups, to identify future consumer behavior. Importantly, this study used multi-analysis methods using four different approaches to better shed light on potential orbital and suborbital space tourists.
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- Kim, Myung Ja, et al.
(författare)
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Space tourism : Do age and gender make a difference in risk perception?
- 2023
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Ingår i: Journal of Hospitality and Tourism Management. - : Elsevier. - 1447-6770 .- 1839-5260. ; 57, s. 13-17
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Tidskriftsartikel (refereegranskat)abstract
- Space tourism is an industry with risks including health and safety, space debris, biological hazards, and sustainability concerns. However, there is limited research on the perceived risk of participation in space tourism, particularly regarding age and gender differences. An integrated research model was created and tested with four perceived risk dimensions using fuzzy-set Qualitative Comparative Analysis. A survey of 1000 South Korean residents over 18 who wanted to participate in space tourism was conducted. Results show significant differences in perceived risks between senior and younger groups, as well as male and female respondents. These findings offer valuable insights for space tourism stakeholders.
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- Kim, Myung Ja, et al.
(författare)
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Space tourism : Value-attitude-behavior theory, artificial intelligence, and sustainability
- 2024
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Ingår i: Journal of Retailing and Consumer Services. - 0969-6989. ; 77
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Tidskriftsartikel (refereegranskat)abstract
- Despite concerns over its sustainability, space tourism is an emerging luxury consumer service which is promoted to participants as providing a new connection to Earth and humanity. However, little research examines the potential connectivity between sustainability and space tourism, especially given the strong technological dimensions of space tourism. The purpose of this study is to explore an extended value-attitude-behavior theory with AI awareness and social and personal norms to examine space tourism's alignment with the UN's 17 Sustainable Development Goals. Through 664 potential space tourism consumers and applying PLS-SEM, multi-group analysis, fsQCA, and deep learning methods, findings revealed the significant influence of value and AI awareness on attitude and social and personal norms leading to sustainable behaviors. Findings provide insights into space tourism's sustainability, emphasizing environmental considerations and AI awareness in shaping luxury travel consumer services.
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- Kim, Myung Ja, et al.
(författare)
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The effects of individual and organizational interventions on space tourism : applying EMGB and fsQCA
- 2023
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Ingår i: Current Issues in Tourism. - : Informa UK Limited. - 1368-3500 .- 1747-7603. ; 26:9, s. 1389-1393
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Tidskriftsartikel (refereegranskat)abstract
- There is limited theoretically informed research on sustainability in the space tourism market. An extended model of goal-directed behaviour (EMGB) is created and verified with individual and organizational interventions, comparing space tourism experienced and non-experienced travellers. Results revealed that individual intervention has fully significant effects on all MGB constructs, while organizational intervention has partially significant impacts, which in turn influence desire relevant to behavioural intention. The findings from fsQCA showed the different profiles of experienced and non-experienced tourists.
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20. |
- Kroes, JA, et al.
(författare)
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Evaluation of real-world mepolizumab use in severe asthma across Europe: the SHARP experience with privacy-preserving federated analysis
- 2023
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Ingår i: ERJ open research. - : European Respiratory Society (ERS). - 2312-0541. ; 9:2
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Tidskriftsartikel (refereegranskat)abstract
- An objective of the Severe Heterogeneous Asthma Registry, Patient-centered (SHARP) is to produce real-world evidence on a pan-European scale by linking non-standardized, patient-level registry-data. Mepolizumab has shown clinical efficacy in RCTs and prospective real-world studies and could therefore serve as a proof of principle for this novel approach.AimTo harmonize data from 10 national severe asthma registries and characterize patients receiving mepolizumab, assess its effectiveness on annual exacerbations and maintenance oral glucocorticoid (OCS) use, and evaluate treatment patterns.MethodsIn this observational cohort study, registry data (5871 patients) were extracted for harmonization. Where harmonization was possible, patients who initiated mepolizumab between 1-1-2016 and 31-12-2021 were examined. Changes of a 12 (range 11–18) months period in frequent (≥2) exacerbations, maintenance OCS use and dose were analyzed in a privacy-preserving manner using meta-analysis of generalized estimating equation parameters. Periods before and during the COVID-19 pandemic were analyzed separately.ResultsIn 912 patients who fulfilled selection criteria mepolizumab significantly reduced frequent exacerbations (OR;95%CI: 0.18;0.13–0.25), maintenance OCS use (OR;95%CI: 0.75;0.61–0.92) and dose (mean; 95%CI: −3.93 mg·day−1; −5.24–2.62) in the Pre-Pandemic group, with similar trends in the Pandemic group. Marked heterogeneity was observed between registries in patient characteristics and mepolizumab treatment patterns.ConclusionsBy harmonizing patient-level registry data and applying federated analysis, SHARP demonstrated the real-wold effectiveness of mepolizumab on asthma exacerbations and maintenance OCS use in severe asthma patients across Europe, consistent with previous evidence. This paves the way for future pan-European real-world severe asthma studies using patient-level data in a privacy-proof manner.
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- Ramilowski, JA, et al.
(författare)
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Functional annotation of human long noncoding RNAs via molecular phenotyping
- 2020
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Ingår i: Genome research. - : Cold Spring Harbor Laboratory. - 1549-5469 .- 1088-9051. ; 30:7, s. 1060-1072
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Tidskriftsartikel (refereegranskat)abstract
- Long noncoding RNAs (lncRNAs) constitute the majority of transcripts in the mammalian genomes, and yet, their functions remain largely unknown. As part of the FANTOM6 project, we systematically knocked down the expression of 285 lncRNAs in human dermal fibroblasts and quantified cellular growth, morphological changes, and transcriptomic responses using Capped Analysis of Gene Expression (CAGE). Antisense oligonucleotides targeting the same lncRNAs exhibited global concordance, and the molecular phenotype, measured by CAGE, recapitulated the observed cellular phenotypes while providing additional insights on the affected genes and pathways. Here, we disseminate the largest-to-date lncRNA knockdown data set with molecular phenotyping (over 1000 CAGE deep-sequencing libraries) for further exploration and highlight functional roles for ZNF213-AS1 and lnc-KHDC3L-2.
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- Thompson, PM, et al.
(författare)
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ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries
- 2020
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Ingår i: Translational psychiatry. - : Springer Science and Business Media LLC. - 2158-3188. ; 10:1, s. 100-
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Tidskriftsartikel (refereegranskat)abstract
- This review summarizes the last decade of work by the ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) Consortium, a global alliance of over 1400 scientists across 43 countries, studying the human brain in health and disease. Building on large-scale genetic studies that discovered the first robustly replicated genetic loci associated with brain metrics, ENIGMA has diversified into over 50 working groups (WGs), pooling worldwide data and expertise to answer fundamental questions in neuroscience, psychiatry, neurology, and genetics. Most ENIGMA WGs focus on specific psychiatric and neurological conditions, other WGs study normal variation due to sex and gender differences, or development and aging; still other WGs develop methodological pipelines and tools to facilitate harmonized analyses of “big data” (i.e., genetic and epigenetic data, multimodal MRI, and electroencephalography data). These international efforts have yielded the largest neuroimaging studies to date in schizophrenia, bipolar disorder, major depressive disorder, post-traumatic stress disorder, substance use disorders, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, autism spectrum disorders, epilepsy, and 22q11.2 deletion syndrome. More recent ENIGMA WGs have formed to study anxiety disorders, suicidal thoughts and behavior, sleep and insomnia, eating disorders, irritability, brain injury, antisocial personality and conduct disorder, and dissociative identity disorder. Here, we summarize the first decade of ENIGMA’s activities and ongoing projects, and describe the successes and challenges encountered along the way. We highlight the advantages of collaborative large-scale coordinated data analyses for testing reproducibility and robustness of findings, offering the opportunity to identify brain systems involved in clinical syndromes across diverse samples and associated genetic, environmental, demographic, cognitive, and psychosocial factors.
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