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Global Burden of Small Vessel Disease-Related Brain Changes on MRI Predicts Cognitive and Functional Decline

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Harvard

Jokinen, H, Koikkalainen, J, Laakso, HM, Melkas, S, Nieminen, T, Brander, A, Korvenoja, A, Rueckert, D, Barkhof, F, Scheltens, P, Schmidt, R, Fazekas, F, Madureira, S, Verdelho, A, Wallin, A, Wahlund, L-O, Waldemar, G, Chabriat, H, Hennerici, M, O'Brien, J, Inzitari, D, Lötjönen, J, Pantoni, L & Erkinjuntti, T 2020, 'Global Burden of Small Vessel Disease-Related Brain Changes on MRI Predicts Cognitive and Functional Decline' Stroke, pp. STROKEAHA119026170. https://doi.org/10.1161/STROKEAHA.119.026170

APA

Jokinen, H., Koikkalainen, J., Laakso, H. M., Melkas, S., Nieminen, T., Brander, A., ... Erkinjuntti, T. (2020). Global Burden of Small Vessel Disease-Related Brain Changes on MRI Predicts Cognitive and Functional Decline. Stroke, STROKEAHA119026170. https://doi.org/10.1161/STROKEAHA.119.026170

CBE

Jokinen H, Koikkalainen J, Laakso HM, Melkas S, Nieminen T, Brander A, Korvenoja A, Rueckert D, Barkhof F, Scheltens P, Schmidt R, Fazekas F, Madureira S, Verdelho A, Wallin A, Wahlund L-O, Waldemar G, Chabriat H, Hennerici M, O'Brien J, Inzitari D, Lötjönen J, Pantoni L, Erkinjuntti T. 2020. Global Burden of Small Vessel Disease-Related Brain Changes on MRI Predicts Cognitive and Functional Decline. Stroke. STROKEAHA119026170. https://doi.org/10.1161/STROKEAHA.119.026170

MLA

Vancouver

Jokinen H, Koikkalainen J, Laakso HM, Melkas S, Nieminen T, Brander A et al. Global Burden of Small Vessel Disease-Related Brain Changes on MRI Predicts Cognitive and Functional Decline. Stroke. 2020 Jan;STROKEAHA119026170. https://doi.org/10.1161/STROKEAHA.119.026170

Author

Jokinen, Hanna ; Koikkalainen, Juha ; Laakso, Hanna M ; Melkas, Susanna ; Nieminen, Tuomas ; Brander, Antti ; Korvenoja, Antti ; Rueckert, Daniel ; Barkhof, Frederik ; Scheltens, Philip ; Schmidt, Reinhold ; Fazekas, Franz ; Madureira, Sofia ; Verdelho, Ana ; Wallin, Anders ; Wahlund, Lars-Olof ; Waldemar, Gunhild ; Chabriat, Hugues ; Hennerici, Michael ; O'Brien, John ; Inzitari, Domenico ; Lötjönen, Jyrki ; Pantoni, Leonardo ; Erkinjuntti, Timo. / Global Burden of Small Vessel Disease-Related Brain Changes on MRI Predicts Cognitive and Functional Decline. In: Stroke. 2020 ; pp. STROKEAHA119026170.

Bibtex

@article{87a2203e9d7a4fff83f894cced3d21bd,
title = "Global Burden of Small Vessel Disease-Related Brain Changes on MRI Predicts Cognitive and Functional Decline",
abstract = "Background and Purpose- Cerebral small vessel disease is characterized by a wide range of focal and global brain changes. We used a magnetic resonance imaging segmentation tool to quantify multiple types of small vessel disease-related brain changes and examined their individual and combined predictive value on cognitive and functional abilities. Methods- Magnetic resonance imaging scans of 560 older individuals from LADIS (Leukoaraiosis and Disability Study) were analyzed using automated atlas- and convolutional neural network-based segmentation methods yielding volumetric measures of white matter hyperintensities, lacunes, enlarged perivascular spaces, chronic cortical infarcts, and global and regional brain atrophy. The subjects were followed up with annual neuropsychological examinations for 3 years and evaluation of instrumental activities of daily living for 7 years. Results- The strongest predictors of cognitive performance and functional outcome over time were the total volumes of white matter hyperintensities, gray matter, and hippocampi (P<0.001 for global cognitive function, processing speed, executive functions, and memory and P<0.001 for poor functional outcome). Volumes of lacunes, enlarged perivascular spaces, and cortical infarcts were significantly associated with part of the outcome measures, but their contribution was weaker. In a multivariable linear mixed model, volumes of white matter hyperintensities, lacunes, gray matter, and hippocampi remained as independent predictors of cognitive impairment. A combined measure of these markers based on Z scores strongly predicted cognitive and functional outcomes (P<0.001) even above the contribution of the individual brain changes. Conclusions- Global burden of small vessel disease-related brain changes as quantified by an image segmentation tool is a powerful predictor of long-term cognitive decline and functional disability. A combined measure of white matter hyperintensities, lacunar, gray matter, and hippocampal volumes could be used as an imaging marker associated with vascular cognitive impairment.",
author = "Hanna Jokinen and Juha Koikkalainen and Laakso, {Hanna M} and Susanna Melkas and Tuomas Nieminen and Antti Brander and Antti Korvenoja and Daniel Rueckert and Frederik Barkhof and Philip Scheltens and Reinhold Schmidt and Franz Fazekas and Sofia Madureira and Ana Verdelho and Anders Wallin and Lars-Olof Wahlund and Gunhild Waldemar and Hugues Chabriat and Michael Hennerici and John O'Brien and Domenico Inzitari and Jyrki L{\"o}tj{\"o}nen and Leonardo Pantoni and Timo Erkinjuntti",
year = "2020",
month = "1",
doi = "10.1161/STROKEAHA.119.026170",
language = "English",
pages = "STROKEAHA119026170",
journal = "Journal of Stroke",
issn = "0039-2499",
publisher = "Lippincott Williams & Wilkins",

}

RIS

TY - JOUR

T1 - Global Burden of Small Vessel Disease-Related Brain Changes on MRI Predicts Cognitive and Functional Decline

AU - Jokinen, Hanna

AU - Koikkalainen, Juha

AU - Laakso, Hanna M

AU - Melkas, Susanna

AU - Nieminen, Tuomas

AU - Brander, Antti

AU - Korvenoja, Antti

AU - Rueckert, Daniel

AU - Barkhof, Frederik

AU - Scheltens, Philip

AU - Schmidt, Reinhold

AU - Fazekas, Franz

AU - Madureira, Sofia

AU - Verdelho, Ana

AU - Wallin, Anders

AU - Wahlund, Lars-Olof

AU - Waldemar, Gunhild

AU - Chabriat, Hugues

AU - Hennerici, Michael

AU - O'Brien, John

AU - Inzitari, Domenico

AU - Lötjönen, Jyrki

AU - Pantoni, Leonardo

AU - Erkinjuntti, Timo

PY - 2020/1

Y1 - 2020/1

N2 - Background and Purpose- Cerebral small vessel disease is characterized by a wide range of focal and global brain changes. We used a magnetic resonance imaging segmentation tool to quantify multiple types of small vessel disease-related brain changes and examined their individual and combined predictive value on cognitive and functional abilities. Methods- Magnetic resonance imaging scans of 560 older individuals from LADIS (Leukoaraiosis and Disability Study) were analyzed using automated atlas- and convolutional neural network-based segmentation methods yielding volumetric measures of white matter hyperintensities, lacunes, enlarged perivascular spaces, chronic cortical infarcts, and global and regional brain atrophy. The subjects were followed up with annual neuropsychological examinations for 3 years and evaluation of instrumental activities of daily living for 7 years. Results- The strongest predictors of cognitive performance and functional outcome over time were the total volumes of white matter hyperintensities, gray matter, and hippocampi (P<0.001 for global cognitive function, processing speed, executive functions, and memory and P<0.001 for poor functional outcome). Volumes of lacunes, enlarged perivascular spaces, and cortical infarcts were significantly associated with part of the outcome measures, but their contribution was weaker. In a multivariable linear mixed model, volumes of white matter hyperintensities, lacunes, gray matter, and hippocampi remained as independent predictors of cognitive impairment. A combined measure of these markers based on Z scores strongly predicted cognitive and functional outcomes (P<0.001) even above the contribution of the individual brain changes. Conclusions- Global burden of small vessel disease-related brain changes as quantified by an image segmentation tool is a powerful predictor of long-term cognitive decline and functional disability. A combined measure of white matter hyperintensities, lacunar, gray matter, and hippocampal volumes could be used as an imaging marker associated with vascular cognitive impairment.

AB - Background and Purpose- Cerebral small vessel disease is characterized by a wide range of focal and global brain changes. We used a magnetic resonance imaging segmentation tool to quantify multiple types of small vessel disease-related brain changes and examined their individual and combined predictive value on cognitive and functional abilities. Methods- Magnetic resonance imaging scans of 560 older individuals from LADIS (Leukoaraiosis and Disability Study) were analyzed using automated atlas- and convolutional neural network-based segmentation methods yielding volumetric measures of white matter hyperintensities, lacunes, enlarged perivascular spaces, chronic cortical infarcts, and global and regional brain atrophy. The subjects were followed up with annual neuropsychological examinations for 3 years and evaluation of instrumental activities of daily living for 7 years. Results- The strongest predictors of cognitive performance and functional outcome over time were the total volumes of white matter hyperintensities, gray matter, and hippocampi (P<0.001 for global cognitive function, processing speed, executive functions, and memory and P<0.001 for poor functional outcome). Volumes of lacunes, enlarged perivascular spaces, and cortical infarcts were significantly associated with part of the outcome measures, but their contribution was weaker. In a multivariable linear mixed model, volumes of white matter hyperintensities, lacunes, gray matter, and hippocampi remained as independent predictors of cognitive impairment. A combined measure of these markers based on Z scores strongly predicted cognitive and functional outcomes (P<0.001) even above the contribution of the individual brain changes. Conclusions- Global burden of small vessel disease-related brain changes as quantified by an image segmentation tool is a powerful predictor of long-term cognitive decline and functional disability. A combined measure of white matter hyperintensities, lacunar, gray matter, and hippocampal volumes could be used as an imaging marker associated with vascular cognitive impairment.

U2 - 10.1161/STROKEAHA.119.026170

DO - 10.1161/STROKEAHA.119.026170

M3 - Journal article

SP - STROKEAHA119026170

JO - Journal of Stroke

JF - Journal of Stroke

SN - 0039-2499

ER -

ID: 58652320