Enhancing cognitive performance prediction by white matter hyperintensity connectivity assessment.
Autor: | Petersen M; Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20251Germany., Coenen M; Department of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, Utrecht 3584 CX, The Netherlands., DeCarli C; Department of Neurology, University of California, Davis, CA 95616USA., De Luca A; Department of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, Utrecht 3584 CX, The Netherlands.; Division Imaging and Oncology, Image Sciences Institute, UMC Utrecht, Utrecht 3584 CX, The Netherlands., van der Lelij E; Department of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, Utrecht 3584 CX, The Netherlands., Barkhof F; Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam 1081 BT, The Netherlands.; Queen Square Institute of Neurology and Centre for Medical Image Computing, University College, London WC1N 3BG, UK., Benke T; Clinic of Neurology, Medical University Innsbruck, Innsbruck 6020, Austria., Chen CPLH; Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.; Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.; Memory, Aging and Cognition Center, National University Health System, Singapore 119228, Singapore., Dal-Bianco P; Department of Neurology, Medical University Vienna, Vienna 1090, Austria., Dewenter A; Institute for Stroke and Dementia Research (ISD), LMU University Hospital, LMU Munich, Munich 81377, Germany., Duering M; Institute for Stroke and Dementia Research (ISD), LMU University Hospital, LMU Munich, Munich 81377, Germany.; Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel, Basel 4051, Switzerland., Enzinger C; Division of General Neurology, Department of Neurology, Medical University Graz, Graz 8036, Austria.; Division of Neuroradiology, Interventional and Vascular Radiology, Department of Radiology, Medical University of Graz, Graz 8036, Austria., Ewers M; Institute for Stroke and Dementia Research (ISD), LMU University Hospital, LMU Munich, Munich 81377, Germany., Exalto LG; Department of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, Utrecht 3584 CX, The Netherlands., Fletcher EM; Department of Neurology, University of California, Davis, CA 95616USA., Franzmeier N; Institute for Stroke and Dementia Research (ISD), LMU University Hospital, LMU Munich, Munich 81377, Germany., Hilal S; Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 119228, Singapore., Hofer E; Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz 8036, Austria.; Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz 8036, Austria., Koek HL; Department of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, Utrecht 3584 CX, The Netherlands.; Department of Geriatric Medicine, University Medical Center Utrecht, Utrecht University, Utrecht 3584 CX, The Netherlands., Maier AB; Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.; Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.; Memory, Aging and Cognition Center, National University Health System, Singapore 119228, Singapore., Maillard PM; Department of Neurology, University of California, Davis, CA 95616USA., McCreary CR; Department of Clinical Neurosciences and Radiology and Hotchkiss Brain Institute, University of Calgary, Calgary AB T2N 4N1, Canada., Papma JM; Alzheimer Center Erasmus MC, Erasmus MC University Medical Center, Rotterdam 3015 GD, The Netherlands.; Department of Neurology, Erasmus MC University Medical Center, Rotterdam 3015 GD, The Netherlands.; Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam 3015 GD, The Netherlands., Pijnenburg YAL; Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam 1081 BT, The Netherlands., Schmidt R; Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz 8036, Austria.; Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz 8036, Austria., Smith EE; Department of Clinical Neurosciences and Radiology and Hotchkiss Brain Institute, University of Calgary, Calgary AB T2N 4N1, Canada., Steketee RME; Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam 1081 BT, The Netherlands., van den Berg E; Alzheimer Center Erasmus MC, Erasmus MC University Medical Center, Rotterdam 3015 GD, The Netherlands.; Department of Neurology, Erasmus MC University Medical Center, Rotterdam 3015 GD, The Netherlands., van der Flier WM; Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam 1081 BT, The Netherlands., Venkatraghavan V; Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam 1081 BT, The Netherlands., Venketasubramanian N; Memory, Aging and Cognition Center, National University Health System, Singapore 119228, Singapore.; Raffles Neuroscience Center, Raffles Hospital, Singapore 119228, Singapore., Vernooij MW; Alzheimer Center Erasmus MC, Erasmus MC University Medical Center, Rotterdam 3015 GD, The Netherlands.; Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam 3015 GD, The Netherlands.; Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam 3015 GD, The Netherlands., Wolters FJ; Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam 3015 GD, The Netherlands.; Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam 3015 GD, The Netherlands., Xu X; Memory, Aging and Cognition Center, National University Health System, Singapore 119228, Singapore.; School of Public Health and the Second Affiliated Hospital of School of Medicine, Zhejiang University, Zhejiang 310009, China., Horn A; Department of Neurology with Experimental Neurology, Charité - Universitätsmedizin Berlin, Movement Disorders and Neuromodulation Unit, Berlin 10117, Germany.; Department of Neurology, Psychiatry, and Radiology, Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA., Patil KR; Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf 40225, Germany.; Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Jülich, Jülich 52428, Germany., Eickhoff SB; Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf 40225, Germany.; Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Jülich, Jülich 52428, Germany., Thomalla G; Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20251Germany., Biesbroek JM; Department of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, Utrecht 3584 CX, The Netherlands.; Department of Neurology, Diakonessenhuis Hospital, Utrecht 3582 KE, The Netherlands., Biessels GJ; Department of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, Utrecht 3584 CX, The Netherlands., Cheng B; Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20251Germany. |
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Jazyk: | angličtina |
Zdroj: | Brain : a journal of neurology [Brain] 2024 Dec 03; Vol. 147 (12), pp. 4265-4279. |
DOI: | 10.1093/brain/awae315 |
Abstrakt: | White matter hyperintensities of presumed vascular origin (WMH) are associated with cognitive impairment and are a key imaging marker in evaluating brain health. However, WMH volume alone does not fully account for the extent of cognitive deficits and the mechanisms linking WMH to these deficits remain unclear. Lesion network mapping (LNM) enables us to infer if brain networks are connected to lesions and could be a promising technique for enhancing our understanding of the role of WMH in cognitive disorders. Our study employed LNM to test the following hypotheses: (i) LNM-informed markers surpass WMH volumes in predicting cognitive performance; and (ii) WMH contributing to cognitive impairment map to specific brain networks. We analysed cross-sectional data of 3485 patients from 10 memory clinic cohorts within the Meta VCI Map Consortium, using harmonized test results in four cognitive domains and WMH segmentations. WMH segmentations were registered to a standard space and mapped onto existing normative structural and functional brain connectome data. We employed LNM to quantify WMH connectivity to 480 atlas-based grey and white matter regions of interest (ROI), resulting in ROI-level structural and functional LNM scores. We compared the capacity of total and regional WMH volumes and LNM scores in predicting cognitive function using ridge regression models in a nested cross-validation. LNM scores predicted performance in three cognitive domains (attention/executive function, information processing speed, and verbal memory) significantly better than WMH volumes. LNM scores did not improve prediction for language functions. ROI-level analysis revealed that higher LNM scores, representing greater connectivity to WMH, in grey and white matter regions of the dorsal and ventral attention networks were associated with lower cognitive performance. Measures of WMH-related brain network connectivity significantly improve the prediction of current cognitive performance in memory clinic patients compared to WMH volume as a traditional imaging marker of cerebrovascular disease. This highlights the crucial role of network integrity, particularly in attention-related brain regions, improving our understanding of vascular contributions to cognitive impairment. Moving forward, refining WMH information with connectivity data could contribute to patient-tailored therapeutic interventions and facilitate the identification of subgroups at risk of cognitive disorders. (© The Author(s) 2024. Published by Oxford University Press on behalf of the Guarantors of Brain.) |
Databáze: | MEDLINE |
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