Distinct multivariate brain morphological patterns and their added predictive value with cognitive and polygenic risk scores in mental disorders
The brain underpinnings of schizophrenia and bipolar disorders are multidimensional, reflecting complex pathological processes and causal pathways, requiring multivariate techniques to disentangle. Furthermore, little is known about the complementary clinical value of brain structural phenotypes whe...
| Main Authors: | , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2017-01-01
|
| Series: | NeuroImage: Clinical |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158217301456 |
| _version_ | 1818847214845296640 |
|---|---|
| author | Nhat Trung Doan Tobias Kaufmann Francesco Bettella Kjetil Nordbø Jørgensen Christine Lycke Brandt Torgeir Moberget Dag Alnæs Gwenaëlle Douaud Eugene Duff Srdjan Djurovic Ingrid Melle Torill Ueland Ingrid Agartz Ole A. Andreassen Lars T. Westlye |
| author_facet | Nhat Trung Doan Tobias Kaufmann Francesco Bettella Kjetil Nordbø Jørgensen Christine Lycke Brandt Torgeir Moberget Dag Alnæs Gwenaëlle Douaud Eugene Duff Srdjan Djurovic Ingrid Melle Torill Ueland Ingrid Agartz Ole A. Andreassen Lars T. Westlye |
| author_sort | Nhat Trung Doan |
| collection | DOAJ |
| description | The brain underpinnings of schizophrenia and bipolar disorders are multidimensional, reflecting complex pathological processes and causal pathways, requiring multivariate techniques to disentangle. Furthermore, little is known about the complementary clinical value of brain structural phenotypes when combined with data on cognitive performance and genetic risk. Using data-driven fusion of cortical thickness, surface area, and gray matter density maps (GMD), we found six biologically meaningful patterns showing strong group effects, including four statistically independent multimodal patterns reflecting co-occurring alterations in thickness and GMD in patients, over and above two other independent patterns of widespread thickness and area reduction. Case-control classification using cognitive scores alone revealed high accuracy, and adding imaging features or polygenic risk scores increased performance, suggesting their complementary predictive value with cognitive scores being the most sensitive features. Multivariate pattern analyses reveal distinct patterns of brain morphology in mental disorders, provide insights on the relative importance between brain structure, cognitive and polygenetic risk score in classification of patients, and demonstrate the importance of multivariate approaches in studying the pathophysiological substrate of these complex disorders. Keywords: Multimodal MRI, Clinical prediction, Classification, Brain structure, Schizophrenia, Bipolar disorder, Cognition, Polygenic risk |
| first_indexed | 2024-12-19T05:57:54Z |
| format | Article |
| id | doaj.art-2f34e04538b2410a916549c7356396e3 |
| institution | Directory Open Access Journal |
| issn | 2213-1582 |
| language | English |
| last_indexed | 2024-12-19T05:57:54Z |
| publishDate | 2017-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage: Clinical |
| spelling | doaj.art-2f34e04538b2410a916549c7356396e32022-12-21T20:33:23ZengElsevierNeuroImage: Clinical2213-15822017-01-0115719731Distinct multivariate brain morphological patterns and their added predictive value with cognitive and polygenic risk scores in mental disordersNhat Trung Doan0Tobias Kaufmann1Francesco Bettella2Kjetil Nordbø Jørgensen3Christine Lycke Brandt4Torgeir Moberget5Dag Alnæs6Gwenaëlle Douaud7Eugene Duff8Srdjan Djurovic9Ingrid Melle10Torill Ueland11Ingrid Agartz12Ole A. Andreassen13Lars T. Westlye14NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Corresponding author at: OUS, PO Box 4956, Nydalen, 0424 Oslo, Norway.NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, NorwayNORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, NorwayNORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, NorwayNORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, NorwayNORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, NorwayNORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, NorwayFMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; NORMENT, KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, NorwayNORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, NorwayNORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Oslo, NorwayNORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, NorwayNORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, NorwayNORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Oslo, NorwayThe brain underpinnings of schizophrenia and bipolar disorders are multidimensional, reflecting complex pathological processes and causal pathways, requiring multivariate techniques to disentangle. Furthermore, little is known about the complementary clinical value of brain structural phenotypes when combined with data on cognitive performance and genetic risk. Using data-driven fusion of cortical thickness, surface area, and gray matter density maps (GMD), we found six biologically meaningful patterns showing strong group effects, including four statistically independent multimodal patterns reflecting co-occurring alterations in thickness and GMD in patients, over and above two other independent patterns of widespread thickness and area reduction. Case-control classification using cognitive scores alone revealed high accuracy, and adding imaging features or polygenic risk scores increased performance, suggesting their complementary predictive value with cognitive scores being the most sensitive features. Multivariate pattern analyses reveal distinct patterns of brain morphology in mental disorders, provide insights on the relative importance between brain structure, cognitive and polygenetic risk score in classification of patients, and demonstrate the importance of multivariate approaches in studying the pathophysiological substrate of these complex disorders. Keywords: Multimodal MRI, Clinical prediction, Classification, Brain structure, Schizophrenia, Bipolar disorder, Cognition, Polygenic riskhttp://www.sciencedirect.com/science/article/pii/S2213158217301456 |
| spellingShingle | Nhat Trung Doan Tobias Kaufmann Francesco Bettella Kjetil Nordbø Jørgensen Christine Lycke Brandt Torgeir Moberget Dag Alnæs Gwenaëlle Douaud Eugene Duff Srdjan Djurovic Ingrid Melle Torill Ueland Ingrid Agartz Ole A. Andreassen Lars T. Westlye Distinct multivariate brain morphological patterns and their added predictive value with cognitive and polygenic risk scores in mental disorders NeuroImage: Clinical |
| title | Distinct multivariate brain morphological patterns and their added predictive value with cognitive and polygenic risk scores in mental disorders |
| title_full | Distinct multivariate brain morphological patterns and their added predictive value with cognitive and polygenic risk scores in mental disorders |
| title_fullStr | Distinct multivariate brain morphological patterns and their added predictive value with cognitive and polygenic risk scores in mental disorders |
| title_full_unstemmed | Distinct multivariate brain morphological patterns and their added predictive value with cognitive and polygenic risk scores in mental disorders |
| title_short | Distinct multivariate brain morphological patterns and their added predictive value with cognitive and polygenic risk scores in mental disorders |
| title_sort | distinct multivariate brain morphological patterns and their added predictive value with cognitive and polygenic risk scores in mental disorders |
| url | http://www.sciencedirect.com/science/article/pii/S2213158217301456 |
| work_keys_str_mv | AT nhattrungdoan distinctmultivariatebrainmorphologicalpatternsandtheiraddedpredictivevaluewithcognitiveandpolygenicriskscoresinmentaldisorders AT tobiaskaufmann distinctmultivariatebrainmorphologicalpatternsandtheiraddedpredictivevaluewithcognitiveandpolygenicriskscoresinmentaldisorders AT francescobettella distinctmultivariatebrainmorphologicalpatternsandtheiraddedpredictivevaluewithcognitiveandpolygenicriskscoresinmentaldisorders AT kjetilnordbøjørgensen distinctmultivariatebrainmorphologicalpatternsandtheiraddedpredictivevaluewithcognitiveandpolygenicriskscoresinmentaldisorders AT christinelyckebrandt distinctmultivariatebrainmorphologicalpatternsandtheiraddedpredictivevaluewithcognitiveandpolygenicriskscoresinmentaldisorders AT torgeirmoberget distinctmultivariatebrainmorphologicalpatternsandtheiraddedpredictivevaluewithcognitiveandpolygenicriskscoresinmentaldisorders AT dagalnæs distinctmultivariatebrainmorphologicalpatternsandtheiraddedpredictivevaluewithcognitiveandpolygenicriskscoresinmentaldisorders AT gwenaelledouaud distinctmultivariatebrainmorphologicalpatternsandtheiraddedpredictivevaluewithcognitiveandpolygenicriskscoresinmentaldisorders AT eugeneduff distinctmultivariatebrainmorphologicalpatternsandtheiraddedpredictivevaluewithcognitiveandpolygenicriskscoresinmentaldisorders AT srdjandjurovic distinctmultivariatebrainmorphologicalpatternsandtheiraddedpredictivevaluewithcognitiveandpolygenicriskscoresinmentaldisorders AT ingridmelle distinctmultivariatebrainmorphologicalpatternsandtheiraddedpredictivevaluewithcognitiveandpolygenicriskscoresinmentaldisorders AT torillueland distinctmultivariatebrainmorphologicalpatternsandtheiraddedpredictivevaluewithcognitiveandpolygenicriskscoresinmentaldisorders AT ingridagartz distinctmultivariatebrainmorphologicalpatternsandtheiraddedpredictivevaluewithcognitiveandpolygenicriskscoresinmentaldisorders AT oleaandreassen distinctmultivariatebrainmorphologicalpatternsandtheiraddedpredictivevaluewithcognitiveandpolygenicriskscoresinmentaldisorders AT larstwestlye distinctmultivariatebrainmorphologicalpatternsandtheiraddedpredictivevaluewithcognitiveandpolygenicriskscoresinmentaldisorders |