Global burden of small vessel disease-related brain changes on MRI predicts cognitive and functional decline

Hanna  Jokinen; Juha Koikkalainen; Hanna M. Laakso; Susanna Melkas; Tuomas Nieminen; Antti Brander; Antti Korvenoja; Daniel Rueckert; Frederik Barkhof; Philip Scheltens; Reinhold Schmidt; Franz Fazekas; Sofia Madureira; Ana Verdelho; Anders Wallin; Lars-Olof Wahlund; Gunhild Waldemar; Hugues Chabriat; Michael Hennerici; John O'Brien; Domenico Inzitari; Jyrki Lötjönen; Leonardo Pantoni; Timo Erkinjuntti

doi:10.1161/STROKEAHA.119.026170

Global burden of small vessel disease-related brain changes on MRI predicts cognitive and functional decline

Hanna Jokinen, Juha Koikkalainen, Hanna M. Laakso, Susanna Melkas, Tuomas Nieminen, Antti Brander, Antti Korvenoja, Daniel Rueckert, Frederik Barkhof, Philip Scheltens, Reinhold Schmidt, Franz Fazekas, Sofia Madureira, Ana Verdelho, Anders Wallin, Lars-Olof Wahlund, Gunhild Waldemar, Hugues Chabriat, Michael Hennerici, John O'BrienDomenico Inzitari, Jyrki Lötjönen, Leonardo Pantoni, Timo Erkinjuntti

Tutkimustuotos: Artikkelijulkaisu › Artikkeli › Tieteellinen › vertaisarvioitu

Abstrakti

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

Alkuperäiskieli	englanti
Lehti	Stroke
Vuosikerta	51
Numero	1
Sivut	170-178
Sivumäärä	9
ISSN	0039-2499
DOI - pysyväislinkit	https://doi.org/10.1161/STROKEAHA.119.026170
Tila	Julkaistu - tammik. 2020
OKM-julkaisutyyppi	A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä, vertaisarvioitu

Tieteenalat

3124 Neurologia ja psykiatria
515 Psykologia

Pääsy asiakirjaan

10.1161/STROKEAHA.119.026170Lisenssi: CC BY

STROKEAHA.119.026170Lopullinen julkaistu versio, 821 KBLisenssi: CC BY

Siteeraa tätä

Jokinen, H., Koikkalainen, J., Laakso, H. M., 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., ... Erkinjuntti, T. (2020). Global burden of small vessel disease-related brain changes on MRI predicts cognitive and functional decline. Stroke, 51(1), 170-178. https://doi.org/10.1161/STROKEAHA.119.026170

@article{92f8756b58da4146b59365ad4dd86460,

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",

keywords = "3124 Neurology and psychiatry, 515 Psychology, brain, cerebral small vessel diseases, humans, image processing, computer assisted, neuropsychology, WHITE-MATTER HYPERINTENSITIES, LACUNAR INFARCTS, ATROPHY, LEUKOARAIOSIS, PROGRESSION, DISABILITY, ADULTS, IMPACT, LADIS",

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 = jan,

doi = "10.1161/STROKEAHA.119.026170",

language = "English",

volume = "51",

pages = "170--178",

journal = "Stroke",

issn = "0039-2499",

publisher = "Lippincott williams & wilkins",

number = "1",

}

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, Vuosikerta 51, Nro 1, Sivut 170-178. https://doi.org/10.1161/STROKEAHA.119.026170

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

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

KW - 3124 Neurology and psychiatry

KW - 515 Psychology

KW - brain

KW - cerebral small vessel diseases

KW - humans

KW - image processing

KW - computer assisted

KW - neuropsychology

KW - WHITE-MATTER HYPERINTENSITIES

KW - LACUNAR INFARCTS

KW - ATROPHY

KW - LEUKOARAIOSIS

KW - PROGRESSION

KW - DISABILITY

KW - ADULTS

KW - IMPACT

KW - LADIS

U2 - 10.1161/STROKEAHA.119.026170

DO - 10.1161/STROKEAHA.119.026170

M3 - Article

VL - 51

SP - 170

EP - 178

JO - Stroke

JF - Stroke

SN - 0039-2499

IS - 1

ER -