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1. Architecture and anatomy of executive processes: evidence from verbal fluency and Trail Making Test in 2009 stroke patients

Author

Godefroy, Olivier, Weaver, Nick A., Roussel, Martine, Dorchies, Flore, Kassir, Rania, Biesbroek, J. Matthijs, Lee, Keon-Joo, Kim, Beom Joon, Bae, Hee-Joon, Lim, Jae-Sung, Lee, Minwoo, Yu, Kyung-Ho, Aben, Hugo P., de Kort, Paul L. M., Bordet, Régis, Lopes, Renaud, Dondaine, Thibaut, Biessels, Geert Jan, and Aarabi, Ardalan

Published
2024
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2. White Matter Hyperintensity Volume and Poststroke Cognition: An Individual Patient Data Pooled Analysis of 9 Ischemic Stroke Cohort Studies

Author

de Kort, Floor A.S., Coenen, Mirthe, Weaver, Nick A., Kuijf, Hugo J., Aben, Hugo P., Bae, Hee-Joon, Bordet, Régis, Cammà, Guido, Chen, Christopher P.L.H., Dewenter, Anna, Duering, Marco, Fang, Rong, van der Giessen, Ruben S., Hamilton, Olivia K.L., Hilal, Saima, Huenges Wajer, Irene M.C., Kan, Cheuk Ni, Kim, Jonguk, Kim, Beom Joon, Köhler, Sebastian, de Kort, Paul L.M., Koudstaal, Peter J., Lim, Jae-Sung, Lopes, Renaud, Mok, Vincent C.T., Staals, Julie, Venketasubramanian, Narayanaswamy, Verhagen, Charlotte M., Verhey, Frans R.J., Wardlaw, Joanna M., Xu, Xin, Yu, Kyung-Ho, Biesbroek, J. Matthijs, and Biessels, Geert Jan

Published
2023
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3. Patient-specific fine-tuning of CNNs for follow-up lesion quantification

Author

Jansen, Mariëlle J. A., Kuijf, Hugo J., Dhara, Ashis K., Weaver, Nick A., Biessels, Geert Jan, Strand, Robin, and Pluim, Josien P. W.

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Quantitative Biology - Quantitative Methods
Abstract

Convolutional neural network (CNN) methods have been proposed to quantify lesions in medical imaging. Commonly more than one imaging examination is available for a patient, but the serial information in these images often remains unused. CNN-based methods have the potential to extract valuable information from previously acquired imaging to better quantify current imaging of the same patient. A pre-trained CNN can be updated with a patient's previously acquired imaging: patient-specific fine-tuning. In this work, we studied the improvement in performance of lesion quantification methods on MR images after fine-tuning compared to a base CNN. We applied the method to two different approaches: the detection of liver metastases and the segmentation of brain white matter hyperintensities (WMH). The patient-specific fine-tuned CNN has a better performance than the base CNN. For the liver metastases, the median true positive rate increases from 0.67 to 0.85. For the WMH segmentation, the mean Dice similarity coefficient increases from 0.82 to 0.87. In this study we showed that patient-specific fine-tuning has potential to improve the lesion quantification performance of general CNNs by exploiting the patient's previously acquired imaging.

Published
2019

4. The Meta VCI Map consortium for meta‐analyses on strategic lesion locations for vascular cognitive impairment using lesion‐symptom mapping: Design and multicenter pilot study

Author

Weaver, Nick A, Zhao, Lei, Biesbroek, J Matthijs, Kuijf, Hugo J, Aben, Hugo P, Bae, Hee‐Joon, Caballero, Miguel ÁA, Chappell, Francesca M, Chen, Christopher PLH, Dichgans, Martin, Duering, Marco, Georgakis, Marios K, van der Giessen, Ruben S, Gyanwali, Bibek, Hamilton, Olivia KL, Hilal, Saima, Hofe, Elise M vom, de Kort, Paul LM, Koudstaal, Peter J, Lam, Bonnie YK, Lim, Jae‐Sung, Makin, Stephen DJ, Mok, Vincent CT, Shi, Lin, Hernández, Maria C Valdés, Venketasubramanian, Narayanaswamy, Wardlaw, Joanna M, Wollenweber, Frank A, Wong, Adrian, Xin, Xu, consortium, Meta VCI Map, DeCarli, C, Fletcher, EA, Maillard, P, Barnes, J, Sudre, CH, Schott, JM, Ikram, MA, Papma, JM, Steketee, RME, Vernooij, MW, Bordet, R, Lopes, R, Huang, C‐W, Frayne, R, McCreary, CR, Smith, EE, group, Calgary Normative Study, Backes, W, Köhler, S, van Oostenbrugge, RJ, Staals, J, Verhey, F, Cheng, CY, Kalaria, RN, Werring, D, Hsu, JL, Huang, K‐L, van der Grond, J, Jukema, JW, van der Mast, RC, Nijboer, TCW, group, Framingham Heart Study, Yu, K‐H, group, The Dutch Parelsnoer Institute–Neurodegenerative diseases, Schmidt, R, Pirpamer, L, MacIntosh, BJ, Robertson, AD, de Leeuw, F‐E, Tuladhar, AM, Chaturvedi, N, Tillin, T, Brodaty, H, Sachdev, P, group, TABASCO, Barkhof, F, van der Flier, WM, Kappelle, LJ, and Biessels, Geert Jan

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Biomedical Imaging, Atherosclerosis, Clinical Research, Brain Disorders, Acquired Cognitive Impairment, Stroke, Neurosciences, Meta VCI Map consortium, Cerebrovascular disease, Consortium, Data harmonization, Lesion location, Lesion-symptom mapping, Small vessel disease, Support vector regression, Vascular cognitive impairment, Genetics, Biological psychology
Abstract

IntroductionThe Meta VCI Map consortium performs meta-analyses on strategic lesion locations for vascular cognitive impairment using lesion-symptom mapping. Integration of data from different cohorts will increase sample sizes, to improve brain lesion coverage and support comprehensive lesion-symptom mapping studies.MethodsCohorts with available imaging on white matter hyperintensities or infarcts and cognitive testing were invited. We performed a pilot study to test the feasibility of multicenter data processing and analysis and determine the benefits to lesion coverage.ResultsForty-seven groups have joined Meta VCI Map (stroke n = 7800 patients; memory clinic n = 4900; population-based n = 14,400). The pilot study (six ischemic stroke cohorts, n = 878) demonstrated feasibility of multicenter data integration (computed tomography/magnetic resonance imaging) and achieved marked improvement of lesion coverage.DiscussionMeta VCI Map will provide new insights into the relevance of vascular lesion location for cognitive dysfunction. After the successful pilot study, further projects are being prepared. Other investigators are welcome to join.

Published
2019

6. Sex Differences in Poststroke Cognitive Impairment: A Multicenter Study in 2343 Patients With Acute Ischemic Stroke

Author

Exalto, Lieza G., Weaver, Nick A., Kuijf, Hugo J., Aben, Hugo P., Bae, Hee-Joon, Best, Jonathan G., Bordet, Régis, Chen, Christopher P.L.H., van der Giessen, Ruben S., Godefroy, Olivier, Gyanwali, Bibek, Hamilton, Olivia K.L., Hilal, Saima, Huenges Wajer, Irene M.C., Kim, Jonguk, Kappelle, L. Jaap, Kim, Beom Joon, Köhler, Sebastian, de Kort, Paul L.M., Koudstaal, Peter J., Lim, Jae-Sung, Makin, Stephen D.J., Mok, Vincent C.T., van Oostenbrugge, Robert J., Roussel, Martine, Staals, Julie, Valdés-Hernández, Maria del C., Venketasubramanian, Narayanaswamy, Verhey, Frans R.J., Wardlaw, Joanna M., Werring, David J., Xu, Xin, van Zandvoort, Martine J.E., Biesbroek, J. Matthijs, Chappell, Francesca M., and Biessels, Geert Jan

Published
2023
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7. Strategic white matter hyperintensity locations associated with post-stroke cognitive impairment: A multicenter study in 1568 stroke patients.

Author

Coenen, Mirthe, de Kort, Floor AS, Weaver, Nick A, Kuijf, Hugo J, Aben, Hugo P, Bae, Hee-Joon, Bordet, Régis, Chen, Christopher PLH, Dewenter, Anna, Doeven, Thomas, Dondaine, Thibaut, Duering, Marco, Fang, Rong, van der Giessen, Ruben S, Kim, Jonguk, Kim, Beom Joon, de Kort, Paul LM, Koudstaal, Peter J, Lee, Minwoo, and Lim, Jae-Sung

Subjects
EXECUTIVE function, COGNITIVE processing speed, COGNITION, COGNITIVE ability, WHITE matter (Nerve tissue)
Abstract

Background: Post-stroke cognitive impairment (PSCI) occurs in up to 50% of stroke survivors. Presence of pre-existing vascular brain injury, in particular the extent of white matter hyperintensities (WMH), is associated with worse cognitive outcome after stroke, but the role of WMH location in this association is unclear. Aims: We determined if WMH in strategic white matter tracts explain cognitive performance after stroke. Methods: Individual patient data from nine ischemic stroke cohorts with magnetic resonance imaging (MRI) were harmonized through the Meta VCI Map consortium. The association between WMH volumes in strategic tracts and domain-specific cognitive functioning (attention and executive functioning, information processing speed, language and verbal memory) was assessed using linear mixed models and lasso regression. We used a hypothesis-driven design, primarily addressing four white matter tracts known to be strategic in memory clinic patients: the left and right anterior thalamic radiation, forceps major, and left inferior fronto-occipital fasciculus. Results: The total study sample consisted of 1568 patients (39.9% female, mean age = 67.3 years). Total WMH volume was strongly related to cognitive performance on all four cognitive domains. WMH volume in the left anterior thalamic radiation was significantly associated with cognitive performance on attention and executive functioning and information processing speed and WMH volume in the forceps major with information processing speed. The multivariable lasso regression showed that these associations were independent of age, sex, education, and total infarct volume and had larger coefficients than total WMH volume. Conclusion: These results show tract-specific relations between WMH volume and cognitive performance after ischemic stroke, independent of total WMH volume. This implies that the concept of strategic lesions in PSCI extends beyond acute infarcts and also involves pre-existing WMH. Data access statement: The Meta VCI Map consortium is dedicated to data sharing, following our guidelines. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Strategic infarct locations for post-stroke cognitive impairment: a pooled analysis of individual patient data from 12 acute ischaemic stroke cohorts

Author

Weaver, Nick A, Kuijf, Hugo J, Aben, Hugo P, Abrigo, Jill, Bae, Hee-Joon, Barbay, Mélanie, Best, Jonathan G, Bordet, Régis, Chappell, Francesca M, Chen, Christopher P L H, Dondaine, Thibaut, van der Giessen, Ruben S, Godefroy, Olivier, Gyanwali, Bibek, Hamilton, Olivia K L, Hilal, Saima, Huenges Wajer, Irene M C, Kang, Yeonwook, Kappelle, L Jaap, Kim, Beom Joon, Köhler, Sebastian, de Kort, Paul L M, Koudstaal, Peter J, Kuchcinski, Gregory, Lam, Bonnie Y K, Lee, Byung-Chul, Lee, Keon-Joo, Lim, Jae-Sung, Lopes, Renaud, Makin, Stephen D J, Mendyk, Anne-Marie, Mok, Vincent C T, Oh, Mi Sun, van Oostenbrugge, Robert J, Roussel, Martine, Shi, Lin, Staals, Julie, del C Valdés-Hernández, Maria, Venketasubramanian, Narayanaswamy, Verhey, Frans R J, Wardlaw, Joanna M, Werring, David J, Xin, Xu, Yu, Kyung-Ho, van Zandvoort, Martine J E, Zhao, Lei, Biesbroek, J Matthijs, and Biessels, Geert Jan

Published
2021
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11. Bayesian modelling disentangles language versus executive control disruption in stroke

Author

Beeldverwerking ISI, Brain, Cancer, Circulatory Health, Structure and Connections, Opleiding Neurologie, Projectafdeling VCI, Hartwigsen, Gesa, Lim, Jae-Sung, Bae, Hee-Joon, Yu, Kyung-Ho, Kuijf, Hugo J, Weaver, Nick A, Biesbroek, J Matthijs, Kopal, Jakub, Bzdok, Danilo, Beeldverwerking ISI, Brain, Cancer, Circulatory Health, Structure and Connections, Opleiding Neurologie, Projectafdeling VCI, Hartwigsen, Gesa, Lim, Jae-Sung, Bae, Hee-Joon, Yu, Kyung-Ho, Kuijf, Hugo J, Weaver, Nick A, Biesbroek, J Matthijs, Kopal, Jakub, and Bzdok, Danilo

Published
2024

12. Strategic white matter hyperintensity locations associated with post-stroke cognitive impairment:A multicenter study in 1568 stroke patients

Author

Coenen, Mirthe, de Kort, Floor A. S., Weaver, Nick A., Kuijf, Hugo J., Aben, Hugo P., Bae, Hee-Joon, Bordet, Regis, Chen, Christopher P. L. H., Dewenter, Anna, Doeven, Thomas, Dondaine, Thibaut, Duering, Marco, Fang, Rong, van der Giessen, Ruben S., Kim, Jonguk, Kim, Beom Joon, de Kort, Paul L. M., Koudstaal, Peter J., Lee, Minwoo, Lim, Jae-Sung, Lopes, Renaud, van Oostenbrugge, Robert J., Staals, Julie, Yu, Kyung-Ho, Biessels, Geert Jan, Biesbroek, J. Matthijs, Coenen, Mirthe, de Kort, Floor A. S., Weaver, Nick A., Kuijf, Hugo J., Aben, Hugo P., Bae, Hee-Joon, Bordet, Regis, Chen, Christopher P. L. H., Dewenter, Anna, Doeven, Thomas, Dondaine, Thibaut, Duering, Marco, Fang, Rong, van der Giessen, Ruben S., Kim, Jonguk, Kim, Beom Joon, de Kort, Paul L. M., Koudstaal, Peter J., Lee, Minwoo, Lim, Jae-Sung, Lopes, Renaud, van Oostenbrugge, Robert J., Staals, Julie, Yu, Kyung-Ho, Biessels, Geert Jan, and Biesbroek, J. Matthijs

Abstract

Background: Post-stroke cognitive impairment (PSCI) occurs in up to 50% of stroke survivors. Presence of pre-existing vascular brain injury, in particular the extent of white matter hyperintensities (WMH), is associated with worse cognitive outcome after stroke, but the role of WMH location in this association is unclear.Aims: We determined if WMH in strategic white matter tracts explain cognitive performance after stroke.Methods: Individual patient data from nine ischemic stroke cohorts with magnetic resonance imaging (MRI) were harmonized through the Meta VCI Map consortium. The association between WMH volumes in strategic tracts and domain-specific cognitive functioning (attention and executive functioning, information processing speed, language and verbal memory) was assessed using linear mixed models and lasso regression. We used a hypothesis-driven design, primarily addressing four white matter tracts known to be strategic in memory clinic patients: the left and right anterior thalamic radiation, forceps major, and left inferior fronto-occipital fasciculus.Results: The total study sample consisted of 1568 patients (39.9% female, mean age = 67.3 years). Total WMH volume was strongly related to cognitive performance on all four cognitive domains. WMH volume in the left anterior thalamic radiation was significantly associated with cognitive performance on attention and executive functioning and information processing speed and WMH volume in the forceps major with information processing speed. The multivariable lasso regression showed that these associations were independent of age, sex, education, and total infarct volume and had larger coefficients than total WMH volume.Conclusion: These results show tract-specific relations between WMH volume and cognitive performance after ischemic stroke, independent of total WMH volume. This implies that the concept of strategic lesions in PSCI extends beyond acute infarcts and also involves pre-existing WMH.Data access stat

Published
2024

14. The Meta VCI Map consortium for meta-analyses on strategic lesion locations for vascular cognitive impairment using lesion-symptom mapping: Design and multicenter pilot study

Author

DeCarli, C., Fletcher, E.A., Maillard, P., Barnes, J., Sudre, C.H., Schott, J.M., Ikram, M.A., Papma, J.M., Steketee, R.M.E., Vernooij, M.W., Bordet, R., Lopes, R., Huang, C.-W., Frayne, R., McCreary, C.R., Smith, E.E., Backes, W., Köhler, S., van Oostenbrugge, R.J., Staals, J., Verhey, F., Cheng, C.Y., Kalaria, R.N., Werring, D., Hsu, J.L., Huang, K.-L., van der Grond, J., Jukema, J.W., van der Mast, R.C., Nijboer, T.C.W., Yu, K.-H., Schmidt, R., Pirpamer, L., MacIntosh, B.J., Robertson, A.D., de Leeuw, F.-E., Tuladhar, A.M., Chaturvedi, N., Tillin, T., Brodaty, H., Sachdev, P., Barkhof, F., van der Flier, W.M., Kappelle, L.J., Weaver, Nick A., Zhao, Lei, Biesbroek, J. Matthijs, Kuijf, Hugo J., Aben, Hugo P., Bae, Hee-Joon, Caballero, Miguel Á.A., Chappell, Francesca M., Chen, Christopher P.L.H., Dichgans, Martin, Duering, Marco, Georgakis, Marios K., van der Giessen, Ruben S., Gyanwali, Bibek, Hamilton, Olivia K.L., Hilal, Saima, vom Hofe, Elise M., de Kort, Paul L.M., Koudstaal, Peter J., Lam, Bonnie Y.K., Lim, Jae-Sung, Makin, Stephen D.J., Mok, Vincent C.T., Shi, Lin, Valdés Hernández, Maria C., Venketasubramanian, Narayanaswamy, Wardlaw, Joanna M., Wollenweber, Frank A., Wong, Adrian, Xin, Xu, and Biessels, Geert Jan

Published
2019
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16. Impact of white matter hyperintensity location on depressive symptoms in memory-clinic patients: a lesion-symptom mapping study

Author

Leeuwis, Anna E., Weaver, Nick A., Biesbroek, J. Matthijs, Exalto, Lieza G., Kuijf, Hugo J., Hooghiemstra, Astrid M., Prins, Niels D., Scheltens, Philip, Barkhof, Frederik, van der Flier, Wiesje M., and Biessels, Geert Jan

Subjects
Geriatric Depression Scale (Test), Depression (Mood disorder), Dementia, Brain injuries, Regression analysis, Geriatric depression, Health, Psychology and mental health
Abstract

Background: We investigated the association between white matter hyperintensity location and depressive symptoms in a memoryclinic population using lesion-symptom mapping. Methods: We included 680 patients with vascular brain injury from the TRACE- VCI cohort (mean age [+ or -] standard deviation: 67 [+ or -] 8 years; 52% female): 168 patients with subjective cognitive decline, 164 with mild cognitive impairment and 348 with dementia. We assessed depressive symptoms using the Geriatric Depression Scale. We applied assumptionfree voxel-based lesion-symptom mapping, adjusted for age, sex, total white matter hyperintensity volume and multiple testing. Next, we applied exploratory region-of-interest linear regression analyses of major white matter tracts, with additional adjustment for diagnosis. Results: Voxel-based lesion-symptom mapping identified voxel clusters related to the Geriatric Depression Scale in the left corticospinal tract. Region-of-interest analyses showed no relation between white matter hyperintensity volume and the Geriatric Depression Scale, but revealed an interaction with diagnosis in the forceps minor, where larger regional white matter hyperintensity volume was associated with more depressive symptoms in subjective cognitive decline ([beta] = 0.26, p < 0.05), but not in mild cognitive impairment or dementia. Limitations: We observed a lack of convergence of findings between voxel-based lesion-symptom mapping and region-of- interest analyses, which may have been due to small effect sizes and limited lesion coverage despite the large sample size. This warrants replication of our findings and further investigation in other cohorts. Conclusion: This lesion-symptom mapping study in depressive symptoms indicates the corticospinal tract and forceps minor as strategic tracts in which white matter hyperintensity is associated with depressive symptoms in memory-clinic patients with vascular brain injury. The impact of white matter hyperintensity on depressive symptoms is modest, but it appears to depend on the location of white matter hyperintensity and disease severity., Introduction Late-life depression is highly prevalent in older people and in patients with cognitive impairment or dementia. (1) It has been associated with vascular dementia, stroke and white matter hyperintensity. [...]

Published
2019
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18. NETWORK-BASED LESION IMPACT SCORE IS AN INDEPENDENT PREDICTOR OF POST-STROKE COGNITIVE IMPAIRMENT

Author

Biesbroek, J. Matthijs, Weaver, Nick A, Aben, Hugo P, Kuijf, Hugo J, Abrigo, Jill, Bae, Hee-Joon, Barbay, Mélanie, Best, Jonathan G, Bordet, Régis, Chappell, Francesca M., Chen, Christopher P.L.H., Dondaine, Thibaut, van der Giessen, Ruben S., Godefroy, Olivier, Verne, Jules, Gyanwali, Bibek, Hamilton, Olivia K.L., Hilal, Saima, Wajer, Irene M.C. Huenges, Kang, Yeonwook, Kappelle, L. Jaap, Kim, Beom Joon, Köhler, Sebastian, de Kort, Paul L.M., Koudstaal, Peter J., Kuchcinski, Gregory, Lam, Bonnie Y.K., Lee, Byung-Chul, Lee, Keon-Joo, Lim, Jae-Sung, Lopes, Renaud, Makin, Stephen D.J., Mendyk, Anne-Marie, Mok, Vincent C.T., Oh, Mi Sun, van Oostenbrugge, Robert J., Roussel, Martine, Shi, Lin, Staals, Julie, Valdés-Hernández, Maria del C., Venketasubramanian, Narayanaswamy, Verhey, Frans R.J., Wardlaw, Joanna M., Werring, David J., Xin, Xu, Yu, Kyung-Ho, van Zandvoort, Martine J.E., Zhao, Lei, and Biessels, Geert Jan

Published
2024
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20. White Matter Hyperintensity Volume and Poststroke Cognition:An Individual Patient Data Pooled Analysis of 9 Ischemic Stroke Cohort Studies

Author

De Kort, Floor A.S., Coenen, Mirthe, Weaver, Nick A., Kuijf, Hugo J., Aben, Hugo P., Bae, Hee Joon, Bordet, Régis, Cammà, Guido, Chen, Christopher P.L.H., Dewenter, Anna, Duering, Marco, Fang, Rong, Van Der Giessen, Ruben S., Hamilton, Olivia K.L., Hilal, Saima, Huenges Wajer, Irene M.C., Kan, Cheuk Ni, Kim, Jonguk, Kim, Beom Joon, Köhler, Sebastian, De Kort, Paul L.M., Koudstaal, Peter J., Lim, Jae Sung, Lopes, Renaud, Mok, Vincent C.T., Staals, Julie, Venketasubramanian, Narayanaswamy, Verhagen, Charlotte M., Verhey, Frans R.J., Wardlaw, Joanna M., Xu, Xin, Yu, Kyung Ho, Biesbroek, J. Matthijs, Biessels, Geert Jan, De Kort, Floor A.S., Coenen, Mirthe, Weaver, Nick A., Kuijf, Hugo J., Aben, Hugo P., Bae, Hee Joon, Bordet, Régis, Cammà, Guido, Chen, Christopher P.L.H., Dewenter, Anna, Duering, Marco, Fang, Rong, Van Der Giessen, Ruben S., Hamilton, Olivia K.L., Hilal, Saima, Huenges Wajer, Irene M.C., Kan, Cheuk Ni, Kim, Jonguk, Kim, Beom Joon, Köhler, Sebastian, De Kort, Paul L.M., Koudstaal, Peter J., Lim, Jae Sung, Lopes, Renaud, Mok, Vincent C.T., Staals, Julie, Venketasubramanian, Narayanaswamy, Verhagen, Charlotte M., Verhey, Frans R.J., Wardlaw, Joanna M., Xu, Xin, Yu, Kyung Ho, Biesbroek, J. Matthijs, and Biessels, Geert Jan

Abstract

BACKGROUND: White matter hyperintensities (WMH) are associated with cognitive dysfunction after ischemic stroke. Yet, uncertainty remains about affected domains, the role of other preexisting brain injury, and infarct types in the relation between WMH burden and poststroke cognition. We aimed to disentangle these factors in a large sample of patients with ischemic stroke from different cohorts. METHODS: We pooled and harmonized individual patient data (n=1568) from 9 cohorts, through the Meta VCI Map consortium (www.metavcimap.org). Included cohorts comprised patients with available magnetic resonance imaging and multidomain cognitive assessment <15 months poststroke. In this individual patient data meta-analysis, linear mixed models were used to determine the association between WMH volume and domain-specific cognitive functioning (Z scores; attention and executive functioning, processing speed, language and verbal memory) for the total sample and stratified by infarct type. Preexisting brain injury was accounted for in the multivariable models and all analyses were corrected for the study site as a random effect. RESULTS: In the total sample (67 years [SD, 11.5], 40% female), we found a dose-dependent inverse relationship between WMH volume and poststroke cognitive functioning across all 4 cognitive domains (coefficients ranging from -0.09 [SE, 0.04, P=0.01] for verbal memory to -0.19 [SE, 0.03, P<0.001] for attention and executive functioning). This relation was independent of acute infarct volume and the presence of lacunes and old infarcts. In stratified analyses, the relation between WMH volume and domain-specific functioning was also largely independent of infarct type.CONCLUSIONS: In patients with ischemic stroke, increasing WMH volume is independently associated with worse cognitive functioning across all major domains, regardless of old ischemic lesions and infarct type.

Published
2023

21. Assessment of aortic and cerebral haemodynamics and vascular brain injury with 3 and 7 T magnetic resonance imaging in patients with aortic coarctation

Author

Meijs, Timion A, van Tuijl, Rick J, van den Brink, Hilde, Weaver, Nick A, Siero, Jeroen C W, van der Worp, H Bart, Braun, Kees P J, Leiner, Tim, de Jong, Pim A, Zwanenburg, Jaco J M, Doevendans, Pieter A, Voskuil, Michiel, Grotenhuis, Heynric B, Meijs, Timion A, van Tuijl, Rick J, van den Brink, Hilde, Weaver, Nick A, Siero, Jeroen C W, van der Worp, H Bart, Braun, Kees P J, Leiner, Tim, de Jong, Pim A, Zwanenburg, Jaco J M, Doevendans, Pieter A, Voskuil, Michiel, and Grotenhuis, Heynric B

Abstract

AIMS: Coarctation of the aorta (CoA) is characterized by a central arteriopathy resulting in increased arterial stiffness. The condition is associated with an increased risk of stroke. We aimed to assess the aortic and cerebral haemodynamics and the presence of vascular brain injury in patients with previous surgical CoA repair.METHODS AND RESULTS: Twenty-seven patients with CoA (median age 22 years, range 12-72) and 25 age- and sex-matched controls (median age 24 years, range 12-64) underwent 3 T (heart, aorta, and brain) and 7 T (brain) magnetic resonance imaging scans. Haemodynamic parameters were measured using two-dimensional phase-contrast images of the ascending and descending aorta, internal carotid artery (ICA), basilar artery (BA), middle cerebral artery (MCA), and perforating arteries. Vascular brain injury was assessed by rating white matter hyperintensities, cortical microinfarcts, lacunes, and microbleeds. Pulse wave velocities in the aortic arch and descending aorta were increased and ascending aortic distensibility was decreased in patients with CoA vs. controls. Patients with CoA showed a higher mean flow velocity in the right ICA, left ICA, and BA and a reduced distensibility in the right ICA, BA, and left MCA. Haemodynamic parameters in the perforating arteries, total cerebral blood flow, intracranial volumes, and vascular brain injury were similar between the groups.CONCLUSION: Patients with CoA show an increased flow velocity and reduced distensibility in the aorta and proximal cerebral arteries, which suggests the presence of a generalized arteriopathy that extends into the cerebral arterial tree. No substantial vascular brain injury was observed in this relatively young CoA population, although the study was inadequately powered regarding this endpoint.

Published
2023

22. Sex Differences in Poststroke Cognitive Impairment:A Multicenter Study in 2343 Patients With Acute Ischemic Stroke

Author

Exalto, Lieza G., Weaver, Nick A., Kuijf, Hugo J., Aben, Hugo P., Bae, Hee Joon, Best, Jonathan G., Bordet, Régis, Chen, Christopher P.L.H., van der Giessen, Ruben S., Godefroy, Olivier, Gyanwali, Bibek, Hamilton, Olivia K.L., Hilal, Saima, Huenges Wajer, Irene M.C., Kim, Jonguk, Kappelle, L. Jaap, Kim, Beom Joon, Köhler, Sebastian, de Kort, Paul L.M., Koudstaal, Peter J., Lim, Jae Sung, Makin, Stephen D.J., Mok, Vincent C.T., van Oostenbrugge, Robert J., Roussel, Martine, Staals, Julie, Valdés-Hernández, Maria Del C., Venketasubramanian, Narayanaswamy, Verhey, Frans R.J., Wardlaw, Joanna M., Werring, David J., Xu, Xin, van Zandvoort, Martine J.E., Biesbroek, J. Matthijs, Chappell, Francesca M., Biessels, Geert Jan, Exalto, Lieza G., Weaver, Nick A., Kuijf, Hugo J., Aben, Hugo P., Bae, Hee Joon, Best, Jonathan G., Bordet, Régis, Chen, Christopher P.L.H., van der Giessen, Ruben S., Godefroy, Olivier, Gyanwali, Bibek, Hamilton, Olivia K.L., Hilal, Saima, Huenges Wajer, Irene M.C., Kim, Jonguk, Kappelle, L. Jaap, Kim, Beom Joon, Köhler, Sebastian, de Kort, Paul L.M., Koudstaal, Peter J., Lim, Jae Sung, Makin, Stephen D.J., Mok, Vincent C.T., van Oostenbrugge, Robert J., Roussel, Martine, Staals, Julie, Valdés-Hernández, Maria Del C., Venketasubramanian, Narayanaswamy, Verhey, Frans R.J., Wardlaw, Joanna M., Werring, David J., Xu, Xin, van Zandvoort, Martine J.E., Biesbroek, J. Matthijs, Chappell, Francesca M., and Biessels, Geert Jan

Abstract

BACKGROUND: Poststroke cognitive impairment (PSCI) occurs in about half of stroke survivors. Cumulative evidence indicates that functional outcomes of stroke are worse in women than men. Yet it is unknown whether the occurrence and characteristics of PSCI differ between men and women. METHODS: Individual patient data from 9 cohorts of patients with ischemic stroke were harmonized and pooled through the Meta-VCI-Map consortium (n=2343, 38% women). We included patients with visible symptomatic infarcts on computed tomography/magnetic resonance imaging and cognitive assessment within 15 months after stroke. PSCI was defined as impairment in ≥1 cognitive domains on neuropsychological assessment. Logistic regression analyses were performed to compare men to women, adjusted for study cohort, to obtain odds ratios for PSCI and individual cognitive domains. We also explored sensitivity and specificity of cognitive screening tools for detecting PSCI, according to sex (Mini-Mental State Examination, 4 cohorts, n=1814; Montreal Cognitive Assessment, 3 cohorts, n=278). RESULTS: PSCI was found in 51% of both women and men. Men had a lower risk of impairment of attention and executive functioning (men: odds ratio, 0.76 [95% CI, 0.61-0.96]), and language (men: odds ratio, 0.67 [95% CI, 0.45-0.85]), but a higher risk of verbal memory impairment (men: odds ratio, 1.43 [95% CI, 1.17-1.75]). The sensitivity of Mini-Mental State Examination (<25) for PSCI was higher for women (0.53) than for men (0.27; P=0.02), with a lower specificity for women (0.80) than men (0.96; P=0.01). Sensitivity and specificity of Montreal Cognitive Assessment (<26.) for PSCI was comparable between women and men (0.91 versus 0.86; P=0.62 and 0.29 versus 0.28; P=0.86, respectively). CONCLUSIONS: Sex was not associated with PSCI occurrence but affected domains differed between men and women. The latter may explain why sensitivity of the Mini-Mental State Examination for detecting PSCI was higher in wom

Published
2023

23. White Matter Hyperintensity Volume and Poststroke Cognition: An Individual Patient Data Pooled Analysis of 9 Ischemic Stroke Cohort Studies

Author

Opleiding Neurologie, Beeldverwerking ISI, Brain, Cancer, Circulatory Health, Structure and Connections, Neurologie, Projectafdeling VCI, Neurologen, de Kort, Floor A S, Coenen, Mirthe, Weaver, Nick A, Kuijf, Hugo J, Aben, Hugo P, Bae, Hee-Joon, Bordet, Régis, Cammà, Guido, Chen, Christopher P L H, Dewenter, Anna, Duering, Marco, Fang, Rong, van der Giessen, Ruben S, Hamilton, Olivia K L, Hilal, Saima, Huenges Wajer, Irene M C, Kan, Cheuk Ni, Kim, Jonguk, Kim, Beom Joon, Köhler, Sebastian, de Kort, Paul L M, Koudstaal, Peter J, Lim, Jae-Sung, Lopes, Renaud, Mok, Vincent C T, Staals, Julie, Venketasubramanian, Narayanaswamy, Verhagen, Charlotte M, Verhey, Frans R J, Wardlaw, Joanna M, Xu, Xin, Yu, Kyung-Ho, Biesbroek, J Matthijs, Biessels, Geert Jan, Opleiding Neurologie, Beeldverwerking ISI, Brain, Cancer, Circulatory Health, Structure and Connections, Neurologie, Projectafdeling VCI, Neurologen, de Kort, Floor A S, Coenen, Mirthe, Weaver, Nick A, Kuijf, Hugo J, Aben, Hugo P, Bae, Hee-Joon, Bordet, Régis, Cammà, Guido, Chen, Christopher P L H, Dewenter, Anna, Duering, Marco, Fang, Rong, van der Giessen, Ruben S, Hamilton, Olivia K L, Hilal, Saima, Huenges Wajer, Irene M C, Kan, Cheuk Ni, Kim, Jonguk, Kim, Beom Joon, Köhler, Sebastian, de Kort, Paul L M, Koudstaal, Peter J, Lim, Jae-Sung, Lopes, Renaud, Mok, Vincent C T, Staals, Julie, Venketasubramanian, Narayanaswamy, Verhagen, Charlotte M, Verhey, Frans R J, Wardlaw, Joanna M, Xu, Xin, Yu, Kyung-Ho, Biesbroek, J Matthijs, and Biessels, Geert Jan

Published
2023

24. Sex Differences in Poststroke Cognitive Impairment: A Multicenter Study in 2343 Patients With Acute Ischemic Stroke

Author

Neurologen, Opleiding Neurologie, Beeldverwerking ISI, Brain, Cancer, Circulatory Health, Structure and Connections, Projectafdeling VCI, Neurologie, Neuropsychologie, Exalto, Lieza G, Weaver, Nick A, Kuijf, Hugo J, Aben, Hugo P, Bae, Hee-Joon, Best, Jonathan G, Bordet, Régis, Chen, Christopher P L H, van der Giessen, Ruben S, Godefroy, Olivier, Gyanwali, Bibek, Hamilton, Olivia K L, Hilal, Saima, Huenges Wajer, Irene M C, Kim, Jonguk, Kappelle, L Jaap, Kim, Beom Joon, Köhler, Sebastian, de Kort, Paul L M, Koudstaal, Peter J, Lim, Jae-Sung, Makin, Stephen D J, Mok, Vincent C T, van Oostenbrugge, Robert J, Roussel, Martine, Staals, Julie, Valdés-Hernández, Maria Del C, Venketasubramanian, Narayanaswamy, Verhey, Frans R J, Wardlaw, Joanna M, Werring, David J, Xu, Xin, van Zandvoort, Martine J E, Biesbroek, J Matthijs, Chappell, Francesca M, Biessels, Geert Jan, Neurologen, Opleiding Neurologie, Beeldverwerking ISI, Brain, Cancer, Circulatory Health, Structure and Connections, Projectafdeling VCI, Neurologie, Neuropsychologie, Exalto, Lieza G, Weaver, Nick A, Kuijf, Hugo J, Aben, Hugo P, Bae, Hee-Joon, Best, Jonathan G, Bordet, Régis, Chen, Christopher P L H, van der Giessen, Ruben S, Godefroy, Olivier, Gyanwali, Bibek, Hamilton, Olivia K L, Hilal, Saima, Huenges Wajer, Irene M C, Kim, Jonguk, Kappelle, L Jaap, Kim, Beom Joon, Köhler, Sebastian, de Kort, Paul L M, Koudstaal, Peter J, Lim, Jae-Sung, Makin, Stephen D J, Mok, Vincent C T, van Oostenbrugge, Robert J, Roussel, Martine, Staals, Julie, Valdés-Hernández, Maria Del C, Venketasubramanian, Narayanaswamy, Verhey, Frans R J, Wardlaw, Joanna M, Werring, David J, Xu, Xin, van Zandvoort, Martine J E, Biesbroek, J Matthijs, Chappell, Francesca M, and Biessels, Geert Jan

Published
2023

25. Assessment of aortic and cerebral haemodynamics and vascular brain injury with 3 and 7 T magnetic resonance imaging in patients with aortic coarctation

Author

R&D Onderzoek, Onderzoek Beeld, Projectafdeling VCI, Opleiding Neurologie, Highfield Research Group, Brain, Cancer, Neurologen, Circulatory Health, Stroke, MS Radiologie, Researchgr. Systems Radiology, Infection & Immunity, Regenerative Medicine and Stem Cells, Cardiovasculaire Immunologie, Team Medisch, Cardiologie patientenzorg, Child Health, Meijs, Timion A., Van Tuijl, Rick J., Van Den Brink, Hilde, Weaver, Nick A., Siero, Jeroen C.W., Van Der Worp, H. Bart, Braun, Kees P.J., Leiner, Tim, De Jong, Pim A., Zwanenburg, Jaco J.M., Doevendans, Pieter A., Voskuil, Michiel, Grotenhuis, Heynric B., R&D Onderzoek, Onderzoek Beeld, Projectafdeling VCI, Opleiding Neurologie, Highfield Research Group, Brain, Cancer, Neurologen, Circulatory Health, Stroke, MS Radiologie, Researchgr. Systems Radiology, Infection & Immunity, Regenerative Medicine and Stem Cells, Cardiovasculaire Immunologie, Team Medisch, Cardiologie patientenzorg, Child Health, Meijs, Timion A., Van Tuijl, Rick J., Van Den Brink, Hilde, Weaver, Nick A., Siero, Jeroen C.W., Van Der Worp, H. Bart, Braun, Kees P.J., Leiner, Tim, De Jong, Pim A., Zwanenburg, Jaco J.M., Doevendans, Pieter A., Voskuil, Michiel, and Grotenhuis, Heynric B.

Published
2023

26. Disentangling poststroke cognitive deficits and their neuroanatomical correlates through combined multivariable and multioutcome lesion-symptom mapping

Author

Opleiding Neurologie, Neurologen, Brain, Circulatory Health, Neurologie, Beeldverwerking ISI, Cancer, Structure and Connections, Weaver, Nick A., Mamdani, Muhammad Hasnain, Lim, Jae Sung, Biesbroek, Johannes Matthijs, Biessels, Geert Jan, Huenges Wajer, Irene M.C., Kang, Yeonwook, Kim, Beom Joon, Lee, Byung Chul, Lee, Keon Joo, Yu, Kyung Ho, Bae, Hee Joon, Bzdok, Danilo, Kuijf, Hugo J., Opleiding Neurologie, Neurologen, Brain, Circulatory Health, Neurologie, Beeldverwerking ISI, Cancer, Structure and Connections, Weaver, Nick A., Mamdani, Muhammad Hasnain, Lim, Jae Sung, Biesbroek, Johannes Matthijs, Biessels, Geert Jan, Huenges Wajer, Irene M.C., Kang, Yeonwook, Kim, Beom Joon, Lee, Byung Chul, Lee, Keon Joo, Yu, Kyung Ho, Bae, Hee Joon, Bzdok, Danilo, and Kuijf, Hugo J.

Published
2023

27. Strategic infarct locations for post-stroke depressive symptoms: a lesion- and disconnection-symptom mapping study

Author

Opleiding Neurologie, Neurologen, Brain, Circulatory Health, Beeldverwerking ISI, Cancer, Projectafdeling VCI, Weaver, Nick A, Lim, Jae-Sung, Schilderinck, Janniek, Biessels, Geert Jan, Kang, Yeonwook, Kim, Beom Joon, Kuijf, Hugo J, Lee, Byung-Chul, Lee, Keon-Joo, Yu, Kyung-Ho, Bae, Hee-Joon, Biesbroek, J Matthijs, Opleiding Neurologie, Neurologen, Brain, Circulatory Health, Beeldverwerking ISI, Cancer, Projectafdeling VCI, Weaver, Nick A, Lim, Jae-Sung, Schilderinck, Janniek, Biessels, Geert Jan, Kang, Yeonwook, Kim, Beom Joon, Kuijf, Hugo J, Lee, Byung-Chul, Lee, Keon-Joo, Yu, Kyung-Ho, Bae, Hee-Joon, and Biesbroek, J Matthijs

Published
2023

28. Disentangling poststroke cognitive deficits and their neuroanatomical correlates through combined multivariable and multioutcome lesion‐symptom mapping

Author

Weaver, Nick A., primary, Mamdani, Muhammad Hasnain, additional, Lim, Jae‐Sung, additional, Biesbroek, Johannes Matthijs, additional, Biessels, Geert Jan, additional, Huenges Wajer, Irene M. C., additional, Kang, Yeonwook, additional, Kim, Beom Joon, additional, Lee, Byung‐Chul, additional, Lee, Keon‐Joo, additional, Yu, Kyung‐Ho, additional, Bae, Hee‐Joon, additional, Bzdok, Danilo, additional, and Kuijf, Hugo J., additional

Published
2023
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30. Assessment of aortic and cerebral haemodynamics and vascular brain injury with 3 and 7 T magnetic resonance imaging in patients with aortic coarctation

Author

Meijs, Timion A, primary, van Tuijl, Rick J, additional, van den Brink, Hilde, additional, Weaver, Nick A, additional, Siero, Jeroen C W, additional, van der Worp, H Bart, additional, Braun, Kees P J, additional, Leiner, Tim, additional, de Jong, Pim A, additional, Zwanenburg, Jaco J M, additional, Doevendans, Pieter A, additional, Voskuil, Michiel, additional, and Grotenhuis, Heynric B, additional

Published
2023
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32. Network impact score is an independent predictor of post-stroke cognitive impairment:A multicenter cohort study in 2341 patients with acute ischemic stroke

Author

Biesbroek, J. Matthijs, Weaver, Nick A., Aben, Hugo P., Kuijf, Hugo J., Abrigo, Jill, Bae, Hee Joon, Barbay, Mélanie, Best, Jonathan G., Bordet, Régis, Chappell, Francesca M., Chen, Christopher P.L.H., Dondaine, Thibaut, van der Giessen, Ruben S., Godefroy, Olivier, Gyanwali, Bibek, Hamilton, Olivia K.L., Hilal, Saima, Huenges Wajer, Irene M.C., Kang, Yeonwook, Kappelle, L. Jaap, Kim, Beom Joon, Köhler, Sebastian, de Kort, Paul L.M., Koudstaal, Peter J., Kuchcinski, Gregory, Lam, Bonnie Y.K., Lee, Byung Chul, Lee, Keon Joo, Lim, Jae Sung, Lopes, Renaud, Makin, Stephen D.J., Mendyk, Anne Marie, Mok, Vincent C.T., Oh, Mi Sun, van Oostenbrugge, Robert J., Roussel, Martine, Shi, Lin, Staals, Julie, Valdés-Hernández, Maria del C., Venketasubramanian, Narayanaswamy, Verhey, Frans R.J., Wardlaw, Joanna M., Werring, David J., Xin, Xu, Yu, Kyung Ho, van Zandvoort, Martine J.E., Zhao, Lei, Biessels, Geert Jan, Biesbroek, J. Matthijs, Weaver, Nick A., Aben, Hugo P., Kuijf, Hugo J., Abrigo, Jill, Bae, Hee Joon, Barbay, Mélanie, Best, Jonathan G., Bordet, Régis, Chappell, Francesca M., Chen, Christopher P.L.H., Dondaine, Thibaut, van der Giessen, Ruben S., Godefroy, Olivier, Gyanwali, Bibek, Hamilton, Olivia K.L., Hilal, Saima, Huenges Wajer, Irene M.C., Kang, Yeonwook, Kappelle, L. Jaap, Kim, Beom Joon, Köhler, Sebastian, de Kort, Paul L.M., Koudstaal, Peter J., Kuchcinski, Gregory, Lam, Bonnie Y.K., Lee, Byung Chul, Lee, Keon Joo, Lim, Jae Sung, Lopes, Renaud, Makin, Stephen D.J., Mendyk, Anne Marie, Mok, Vincent C.T., Oh, Mi Sun, van Oostenbrugge, Robert J., Roussel, Martine, Shi, Lin, Staals, Julie, Valdés-Hernández, Maria del C., Venketasubramanian, Narayanaswamy, Verhey, Frans R.J., Wardlaw, Joanna M., Werring, David J., Xin, Xu, Yu, Kyung Ho, van Zandvoort, Martine J.E., Zhao, Lei, and Biessels, Geert Jan

Abstract

Background: Post-stroke cognitive impairment (PSCI) is a common consequence of stroke. Accurate prediction of PSCI risk is challenging. The recently developed network impact score, which integrates information on infarct location and size with brain network topology, may improve PSCI risk prediction. Aims: To determine if the network impact score is an independent predictor of PSCI, and of cognitive recovery or decline. Methods: We pooled data from patients with acute ischemic stroke from 12 cohorts through the Meta VCI Map consortium. PSCI was defined as impairment in ≥ 1 cognitive domain on neuropsychological examination, or abnormal Montreal Cognitive Assessment. Cognitive recovery was defined as conversion from PSCI < 3 months post-stroke to no PSCI at follow-up, and cognitive decline as conversion from no PSCI to PSCI. The network impact score was related to serial measures of PSCI using Generalized Estimating Equations (GEE) models, and to PSCI stratified according to post-stroke interval (<3, 3–12, 12–24, >24 months) and cognitive recovery or decline using logistic regression. Models were adjusted for age, sex, education, prior stroke, infarct volume, and study site. Results: We included 2341 patients with 4657 cognitive assessments. PSCI was present in 398/844 patients (47%) <3 months, 709/1640 (43%) at 3–12 months, 243/853 (28%) at 12–24 months, and 208/522 (40%) >24 months. Cognitive recovery occurred in 64/181 (35%) patients and cognitive decline in 26/287 (9%). The network impact score predicted PSCI in the univariable (OR 1.50, 95%CI 1.34–1.68) and multivariable (OR 1.27, 95%CI 1.10–1.46) GEE model, with similar ORs in the logistic regression models for specified post-stroke intervals. The network impact score was not associated with cognitive recovery or decline. Conclusions: The network impact score is an independent predictor of PSCI. As such, the network impact score may contribute to a more precise and individualized cognitive pro

Published
2022

33. Network impact score is an independent predictor of post-stroke cognitive impairment: A multicenter cohort study in 2341 patients with acute ischemic stroke

Author

Projectafdeling VCI, Brain, Opleiding Neurologie, Beeldverwerking ISI, Circulatory Health, Cancer, Neurologie, Neurologen, Neuropsychologie, Structure and Connections, Biesbroek, J Matthijs, Weaver, Nick A, Aben, Hugo P, Kuijf, Hugo J, Abrigo, Jill, Bae, Hee-Joon, Barbay, Mélanie, Best, Jonathan G, Bordet, Régis, Chappell, Francesca M, Chen, Christopher P L H, Dondaine, Thibaut, van der Giessen, Ruben S, Godefroy, Olivier, Gyanwali, Bibek, Hamilton, Olivia K L, Hilal, Saima, Huenges Wajer, Irene M C, Kang, Yeonwook, Kappelle, L Jaap, Kim, Beom Joon, Köhler, Sebastian, de Kort, Paul L M, Koudstaal, Peter J, Kuchcinski, Gregory, Lam, Bonnie Y K, Lee, Byung-Chul, Lee, Keon-Joo, Lim, Jae-Sung, Lopes, Renaud, Makin, Stephen D J, Mendyk, Anne-Marie, Mok, Vincent C T, Oh, Mi Sun, van Oostenbrugge, Robert J, Roussel, Martine, Shi, Lin, Staals, Julie, Valdés-Hernández, Maria Del C, Venketasubramanian, Narayanaswamy, Verhey, Frans R J, Wardlaw, Joanna M, Werring, David J, Xin, Xu, Yu, Kyung-Ho, van Zandvoort, Martine J E, Zhao, Lei, Biessels, Geert Jan, Projectafdeling VCI, Brain, Opleiding Neurologie, Beeldverwerking ISI, Circulatory Health, Cancer, Neurologie, Neurologen, Neuropsychologie, Structure and Connections, Biesbroek, J Matthijs, Weaver, Nick A, Aben, Hugo P, Kuijf, Hugo J, Abrigo, Jill, Bae, Hee-Joon, Barbay, Mélanie, Best, Jonathan G, Bordet, Régis, Chappell, Francesca M, Chen, Christopher P L H, Dondaine, Thibaut, van der Giessen, Ruben S, Godefroy, Olivier, Gyanwali, Bibek, Hamilton, Olivia K L, Hilal, Saima, Huenges Wajer, Irene M C, Kang, Yeonwook, Kappelle, L Jaap, Kim, Beom Joon, Köhler, Sebastian, de Kort, Paul L M, Koudstaal, Peter J, Kuchcinski, Gregory, Lam, Bonnie Y K, Lee, Byung-Chul, Lee, Keon-Joo, Lim, Jae-Sung, Lopes, Renaud, Makin, Stephen D J, Mendyk, Anne-Marie, Mok, Vincent C T, Oh, Mi Sun, van Oostenbrugge, Robert J, Roussel, Martine, Shi, Lin, Staals, Julie, Valdés-Hernández, Maria Del C, Venketasubramanian, Narayanaswamy, Verhey, Frans R J, Wardlaw, Joanna M, Werring, David J, Xin, Xu, Yu, Kyung-Ho, van Zandvoort, Martine J E, Zhao, Lei, and Biessels, Geert Jan

Published
2022

34. Network impact score is an independent predictor of post-stroke cognitive impairment: A multicenter cohort study in 2341 patients with acute ischemic stroke

Author

Biesbroek, J. Matthijs, primary, Weaver, Nick A., additional, Aben, Hugo P., additional, Kuijf, Hugo J., additional, Abrigo, Jill, additional, Bae, Hee-Joon, additional, Barbay, Mélanie, additional, Best, Jonathan G., additional, Bordet, Régis, additional, Chappell, Francesca M., additional, Chen, Christopher P.L.H., additional, Dondaine, Thibaut, additional, van der Giessen, Ruben S., additional, Godefroy, Olivier, additional, Gyanwali, Bibek, additional, Hamilton, Olivia K.L., additional, Hilal, Saima, additional, Huenges Wajer, Irene M.C., additional, Kang, Yeonwook, additional, Kappelle, L. Jaap, additional, Kim, Beom Joon, additional, Köhler, Sebastian, additional, de Kort, Paul L.M., additional, Koudstaal, Peter J., additional, Kuchcinski, Gregory, additional, Lam, Bonnie Y.K., additional, Lee, Byung-Chul, additional, Lee, Keon-Joo, additional, Lim, Jae-Sung, additional, Lopes, Renaud, additional, Makin, Stephen D.J., additional, Mendyk, Anne-Marie, additional, Mok, Vincent C.T., additional, Oh, Mi Sun, additional, van Oostenbrugge, Robert J., additional, Roussel, Martine, additional, Shi, Lin, additional, Staals, Julie, additional, Valdés-Hernández, Maria del C., additional, Venketasubramanian, Narayanaswamy, additional, Verhey, Frans R.J., additional, Wardlaw, Joanna M., additional, Werring, David J., additional, Xin, Xu, additional, Yu, Kyung-Ho, additional, van Zandvoort, Martine J.E., additional, Zhao, Lei, additional, and Biessels, Geert Jan, additional

Published
2022
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37. sj-pdf-1-wso-10.1177_1747493020984552 - Supplemental material for Post-stroke cognitive impairment on the Mini-Mental State Examination primarily relates to left middle cerebral artery infarcts

Author

Weaver, Nick A, Kancheva, Angelina K, Jae-Sung Lim, J Matthijs Biesbroek, Wajer, Irene MC Huenges, Yeonwook Kang, Kim, Beom J, Kuijf, Hugo J, Byung-Chul Lee, Keon-Joo Lee, Yu, Kyung-Ho, Biessels, Geert Jan, and Hee-Joon Bae

Subjects
FOS: Clinical medicine, Cardiology, Medicine, 110904 Neurology and Neuromuscular Diseases
Abstract

Supplemental material, sj-pdf-1-wso-10.1177_1747493020984552 for Post-stroke cognitive impairment on the Mini-Mental State Examination primarily relates to left middle cerebral artery infarcts by Nick A Weaver, Angelina K Kancheva, Jae-Sung Lim, J Matthijs Biesbroek, Irene MC Huenges Wajer, Yeonwook Kang, Beom J Kim, Hugo J Kuijf, Byung-Chul Lee, Keon-Joo Lee, Kyung-Ho Yu, Geert Jan Biessels and Hee-Joon Bae in International Journal of Stroke

Published
2021
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38. Anatomy of phonemic and semantic fluency: A lesion and disconnectome study in 1231 stroke patients

Author

Leerstoel Postma, Experimental Psychology (onderzoeksprogramma PF), Helmholtz Institute, Biesbroek, J. Matthijs, Lim, Jae Sung, Weaver, Nick A., Arikan, Gozdem, Kang, Yeonwook, Kim, Beom Joon, Kuijf, Hugo J., Postma, Albert, Lee, Byung Chul, Lee, Keon Joo, Yu, Kyung Ho, Bae, Hee Joon, Biessels, Geert Jan, Leerstoel Postma, Experimental Psychology (onderzoeksprogramma PF), Helmholtz Institute, Biesbroek, J. Matthijs, Lim, Jae Sung, Weaver, Nick A., Arikan, Gozdem, Kang, Yeonwook, Kim, Beom Joon, Kuijf, Hugo J., Postma, Albert, Lee, Byung Chul, Lee, Keon Joo, Yu, Kyung Ho, Bae, Hee Joon, and Biessels, Geert Jan

Published
2021

39. Anatomy of phonemic and semantic fluency: A lesion and disconnectome study in 1231 stroke patients

Author

Projectafdeling VCI, Brain, Opleiding Neurologie, Beeldverwerking ISI, Cancer, Neurologen, Circulatory Health, Biesbroek, J Matthijs, Lim, Jae-Sung, Weaver, Nick A, Arikan, Gozdem, Kang, Yeonwook, Kim, Beom Joon, Kuijf, Hugo J, Postma, Albert, Lee, Byung-Chul, Lee, Keon-Joo, Yu, Kyung-Ho, Bae, Hee-Joon, Biessels, Geert Jan, Projectafdeling VCI, Brain, Opleiding Neurologie, Beeldverwerking ISI, Cancer, Neurologen, Circulatory Health, Biesbroek, J Matthijs, Lim, Jae-Sung, Weaver, Nick A, Arikan, Gozdem, Kang, Yeonwook, Kim, Beom Joon, Kuijf, Hugo J, Postma, Albert, Lee, Byung-Chul, Lee, Keon-Joo, Yu, Kyung-Ho, Bae, Hee-Joon, and Biessels, Geert Jan

Published
2021

40. Strategic infarct locations for post-stroke cognitive impairment: a pooled analysis of individual patient data from 12 acute ischaemic stroke cohorts

Author

Projectafdeling VCI, Beeldverwerking ISI, Brain, Cancer, Neurologie, Neurologen, Circulatory Health, ZL Algemene Neurologie Medisch, Weaver, Nick A., Kuijf, Hugo J., Aben, Hugo P., Abrigo, Jill, Bae, Hee Joon, Barbay, Mélanie, Best, Jonathan G., Bordet, Régis, Chappell, Francesca M., Chen, Christopher P.L.H., Dondaine, Thibaut, van der Giessen, Ruben S., Godefroy, Olivier, Gyanwali, Bibek, Hamilton, Olivia K.L., Hilal, Saima, Huenges Wajer, Irene M.C., Kang, Yeonwook, Kappelle, L. Jaap, Kim, Beom Joon, Köhler, Sebastian, de Kort, Paul L.M., Koudstaal, Peter J., Kuchcinski, Gregory, Lam, Bonnie Y.K., Lee, Byung Chul, Lee, Keon Joo, Lim, Jae Sung, Lopes, Renaud, Makin, Stephen D.J., Mendyk, Anne Marie, Mok, Vincent C.T., Oh, Mi Sun, van Oostenbrugge, Robert J., Roussel, Martine, Shi, Lin, Staals, Julie, Del C Valdés-Hernández, Maria, Venketasubramanian, Narayanaswamy, Verhey, Frans R.J., Wardlaw, Joanna M., Werring, David J., Xin, Xu, Yu, Kyung Ho, van Zandvoort, Martine J.E., Zhao, Lei, Biesbroek, J. Matthijs, Biessels, Geert Jan, Projectafdeling VCI, Beeldverwerking ISI, Brain, Cancer, Neurologie, Neurologen, Circulatory Health, ZL Algemene Neurologie Medisch, Weaver, Nick A., Kuijf, Hugo J., Aben, Hugo P., Abrigo, Jill, Bae, Hee Joon, Barbay, Mélanie, Best, Jonathan G., Bordet, Régis, Chappell, Francesca M., Chen, Christopher P.L.H., Dondaine, Thibaut, van der Giessen, Ruben S., Godefroy, Olivier, Gyanwali, Bibek, Hamilton, Olivia K.L., Hilal, Saima, Huenges Wajer, Irene M.C., Kang, Yeonwook, Kappelle, L. Jaap, Kim, Beom Joon, Köhler, Sebastian, de Kort, Paul L.M., Koudstaal, Peter J., Kuchcinski, Gregory, Lam, Bonnie Y.K., Lee, Byung Chul, Lee, Keon Joo, Lim, Jae Sung, Lopes, Renaud, Makin, Stephen D.J., Mendyk, Anne Marie, Mok, Vincent C.T., Oh, Mi Sun, van Oostenbrugge, Robert J., Roussel, Martine, Shi, Lin, Staals, Julie, Del C Valdés-Hernández, Maria, Venketasubramanian, Narayanaswamy, Verhey, Frans R.J., Wardlaw, Joanna M., Werring, David J., Xin, Xu, Yu, Kyung Ho, van Zandvoort, Martine J.E., Zhao, Lei, Biesbroek, J. Matthijs, and Biessels, Geert Jan

Published
2021

41. Generative lesion pattern decomposition of cognitive impairment after stroke

Author

Opleiding Neurologie, Beeldverwerking ISI, Brain, Cancer, Projectafdeling VCI, Bonkhoff, Anna K, Lim, Jae-Sung, Bae, Hee-Joon, Weaver, Nick A, Kuijf, Hugo J, Biesbroek, J Matthijs, Rost, Natalia S, Bzdok, Danilo, Opleiding Neurologie, Beeldverwerking ISI, Brain, Cancer, Projectafdeling VCI, Bonkhoff, Anna K, Lim, Jae-Sung, Bae, Hee-Joon, Weaver, Nick A, Kuijf, Hugo J, Biesbroek, J Matthijs, Rost, Natalia S, and Bzdok, Danilo

Published
2021

42. Post-stroke cognitive impairment on the Mini-Mental State Examination primarily relates to left middle cerebral artery infarcts

Author

Projectafdeling VCI, Brain, Beeldverwerking ISI, Cancer, Neurologen, Circulatory Health, Weaver, Nick A, Kancheva, Angelina K, Lim, Jae-Sung, Biesbroek, J Matthijs, Wajer, Irene Mc Huenges, Kang, Yeonwook, Kim, Beom J, Kuijf, Hugo J, Lee, Byung-Chul, Lee, Keon-Joo, Yu, Kyung-Ho, Biessels, Geert Jan, Bae, Hee-Joon, Projectafdeling VCI, Brain, Beeldverwerking ISI, Cancer, Neurologen, Circulatory Health, Weaver, Nick A, Kancheva, Angelina K, Lim, Jae-Sung, Biesbroek, J Matthijs, Wajer, Irene Mc Huenges, Kang, Yeonwook, Kim, Beom J, Kuijf, Hugo J, Lee, Byung-Chul, Lee, Keon-Joo, Yu, Kyung-Ho, Biessels, Geert Jan, and Bae, Hee-Joon

Published
2021

43. Strategic infarct locations for post-stroke depressive symptoms: a lesion- and disconnection-symptom mapping study

Author

Weaver, Nick A., primary, Lim, Jae-Sung, additional, Schilderinck, Janniek, additional, Biessels, Geert Jan, additional, Kang, Yeonwook, additional, Kim, Beom Joon, additional, Kuijf, Hugo J., additional, Lee, Byung-Chul, additional, Lee, Keon-Joo, additional, Yu, Kyung-Ho, additional, Bae, Hee-Joon, additional, and Biesbroek, J. Matthijs, additional

Published
2021
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45. Patient-specific fine-tuning of CNNs for follow-up lesion quantification

Author

Jansen, Marielle J A, Kuijf, Hugo J, Kumar Dhara, Ashis, Weaver, Nick A, Biessels, Geert Jan, Strand, Robin, Pluim, Josein, Jansen, Marielle J A, Kuijf, Hugo J, Kumar Dhara, Ashis, Weaver, Nick A, Biessels, Geert Jan, Strand, Robin, and Pluim, Josein

Abstract

Convolutional neural network (CNN) methods have been proposed to quantify lesions in medical imaging. Commonly more than one imaging examination is available for a patient, but the serial information in these images often remains unused. CNNbased methods have the potential to extract valuable information from previously acquired imaging to better quantify current imaging of the same patient. A pre-trained CNN can be updated with a patient’s previously acquired imaging: patient-specific fine-tuning. In this work, we studied the improvement in performance of lesion quantification methods on MR images after fine-tuning compared to a base CNN. We applied the method to two different approaches: the detection of liver metastases and the segmentation of brain white matter hyperintensities (WMH). The patient-specific fine-tuned CNN has a better performance than the base CNN. For the liver metastases, the median true positive rate increases from 0.67 to 0.85. For the WMH segmentation, the mean Dice similarity coefficient increases from 0.82 to 0.87. In this study we showed that patient-specific fine-tuning has potential to improve the lesion quantification performance of general CNNs by exploiting the patient’s previously acquired imaging

Published
2020

46. Patient-specific fine-tuning of convolutional neural networks for follow-up lesion quantification

Author

Jansen, Marielle J. A., Kuijf, Hugo J., Dhara, Ashis Kumar, Weaver, Nick A., Biessels, Geert Jan, Strand, Robin, Pluim, Josien P. W., Jansen, Marielle J. A., Kuijf, Hugo J., Dhara, Ashis Kumar, Weaver, Nick A., Biessels, Geert Jan, Strand, Robin, and Pluim, Josien P. W.

Abstract

Purpose: Convolutional neural network (CNN) methods have been proposed to quantify lesions in medical imaging. Commonly, more than one imaging examination is available for a patient, but the serial information in these images often remains unused. CNN-based methods have the potential to extract valuable information from previously acquired imaging to better quantify lesions on current imaging of the same patient. Approach: A pretrained CNN can be updated with a patient's previously acquired imaging: patient-specific fine-tuning (FT). In this work, we studied the improvement in performance of lesion quantification methods on magnetic resonance images after FT compared to a pretrained base CNN. We applied the method to two different approaches: the detection of liver metastases and the segmentation of brain white matter hyperintensities (WMH). Results: The patient-specific fine-tuned CNN has a better performance than the base CNN. For the liver metastases, the median true positive rate increases from 0.67 to 0.85. For the WMH segmentation, the mean Dice similarity coefficient increases from 0.82 to 0.87. Conclusions: We showed that patient-specific FT has the potential to improve the lesion quantification performance of general CNNs by exploiting a patient's previously acquired imaging.

Published
2020
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47. A Case of Sporadic Cerebral Small Vessel Disease in an Identical Twin

Author

Projectafdeling VCI, Neurologen, Brain, Circulatory Health, Zorglijn AN/AAN Medisch, van den Brink, Hilde, Weaver, Nick A., Biessels, Geert Jan, Projectafdeling VCI, Neurologen, Brain, Circulatory Health, Zorglijn AN/AAN Medisch, van den Brink, Hilde, Weaver, Nick A., and Biessels, Geert Jan

Published
2020

48. Patient-specific fine-tuning of convolutional neural networks for follow-up lesion quantification

Author

Beeldverwerking ISI, Brain, Projectafdeling VCI, Medische Beeldanalyse, Jansen, Mariëlle, Kuijf, Hugo, Dhara, Ashis K., Weaver, Nick, Biessels, Geert Jan, Strand, Robin, Pluim, JPW, Beeldverwerking ISI, Brain, Projectafdeling VCI, Medische Beeldanalyse, Jansen, Mariëlle, Kuijf, Hugo, Dhara, Ashis K., Weaver, Nick, Biessels, Geert Jan, Strand, Robin, and Pluim, JPW

Published
2020

49. The Meta VCI Map consortium for meta‐analyses on strategic lesion locations for vascular cognitive impairment using lesion‐symptom mapping: design and multicenter pilot study

Author

Weaver, Nick A., Zhao, Lei, Biesbroek, J. Matthijs, Kuijf, Hugo J., Aben, Hugo P., Bae, Hee‐Joon, Caballero, Miguel Á.A., Chappell, Francesca M., Chen, Christopher P.L.H., Dichgans, Martin, Duering, Marco, Georgakis, Marios K., Giessen, Ruben S., Gyanwali, Bibek, Hamilton, Olivia K.L., Hilal, Saima, Hofe, Elise M., Kort, Paul L.M., Koudstaal, Peter J., Lam, Bonnie Y.K., Lim, Jae‐Sung, Makin, Stephen D.J., Mok, Vincent C.T., Shi, Lin, Valdés Hernández, Maria C., Venketasubramanian, Narayanaswamy, Wardlaw, Joanna M., Wollenweber, Frank A., Wong, Adrian, Xin, Xu, DeCarli, C., Fletcher, E.A., Maillard, P., Barnes, J., Sudre, C.H., Schott, J.M., Ikram, M.A., Papma, J.M., Steketee, R.M.E., Vernooij, M.W., Bordet, R., Lopes, R., Huang, C.‐W., Frayne, R., McCreary, C.R., Smith, E.E., Backes, W., Köhler, S., Oostenbrugge, R.J., Staals, J., Verhey, F., Cheng, C.Y., Kalaria, R.N., Werring, D., Hsu, J.L., Huang, K.‐L., Grond, J., Jukema, J.W., Mast, R.C., Nijboer, T.C.W., Yu, K.‐H., Schmidt, R., Pirpamer, L., MacIntosh, B.J., Robertson, A.D., Leeuw, F.‐E., Tuladhar, A.M., Chaturvedi, N., Tillin, T., Brodaty, H., Sachdev, P., Barkhof, F., Flier, W.M., Kappelle, L.J., and Biessels, Geert Jan

Abstract

Introduction: \ud The Meta VCI Map consortium performs meta-analyses on strategic lesion locations for vascular cognitive impairment using lesion-symptom mapping. Integration of data from different cohorts will increase sample sizes, to improve brain lesion coverage and support comprehensive lesion-symptom mapping studies.\ud \ud Methods: \ud Cohorts with available imaging on white matter hyperintensities or infarcts and cognitive testing were invited. We performed a pilot study to test the feasibility of multicenter data processing and analysis and determine the benefits to lesion coverage.\ud \ud Results: \ud Forty-seven groups have joined Meta VCI Map (stroke n = 7800 patients; memory clinic n = 4900; population-based n = 14,400). The pilot study (six ischemic stroke cohorts, n = 878) demonstrated feasibility of multicenter data integration (computed tomography/magnetic resonance imaging) and achieved marked improvement of lesion coverage.\ud \ud Discussion: \ud Meta VCI Map will provide new insights into the relevance of vascular lesion location for cognitive dysfunction. After the successful pilot study, further projects are being prepared. Other investigators are welcome to join.

Published
2019

50. Post-stroke cognitive impairment on the Mini-Mental State Examination primarily relates to left middle cerebral artery infarcts

Author

Weaver, Nick A, primary, Kancheva, Angelina K, additional, Lim, Jae-Sung, additional, Biesbroek, J Matthijs, additional, Wajer, Irene MC Huenges, additional, Kang, Yeonwook, additional, Kim, Beom J, additional, Kuijf, Hugo J, additional, Lee, Byung-Chul, additional, Lee, Keon-Joo, additional, Yu, Kyung-Ho, additional, Biessels, Geert Jan, additional, and Bae, Hee-Joon, additional

Published
2021
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