Early-Stage White Matter Lesions Detected by Multispectral MRI Segmentation Predict Progressive Cognitive Decline

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http://hdl.handle.net/10138/159751

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Jokinen , H , Goncalves , N , Vigario , R , Lipsanen , J , Fazekas , F , Schmidt , R , Barkhof , F , Madureira , S , Verdelho , A , Inzitari , D , Pantoni , L , Erkinjuntti , T & LADIS Study Grp 2015 , ' Early-Stage White Matter Lesions Detected by Multispectral MRI Segmentation Predict Progressive Cognitive Decline ' , Frontiers in Neuroscience , vol. 9 , 455 . https://doi.org/10.3389/fnins.2015.00455

Title: Early-Stage White Matter Lesions Detected by Multispectral MRI Segmentation Predict Progressive Cognitive Decline
Author: Jokinen, Hanna; Goncalves, Nicolau; Vigario, Ricardo; Lipsanen, Jari; Fazekas, Franz; Schmidt, Reinhold; Barkhof, Frederik; Madureira, Sofia; Verdelho, Ana; Inzitari, Domenico; Pantoni, Leonardo; Erkinjuntti, Timo; LADIS Study Grp
Contributor: University of Helsinki, Behavioural Sciences
University of Helsinki, Behavioural Sciences
University of Helsinki, Clinicum
Date: 2015-12-02
Language: eng
Number of pages: 9
Belongs to series: Frontiers in Neuroscience
ISSN: 1662-453X
URI: http://hdl.handle.net/10138/159751
Abstract: White matter lesions (WML) are the main brain imaging surrogate of cerebral small-vessel disease. A new MRI tissue segmentation method, based on a discriminative clustering approach without explicit model based added prior, detects partial WML volumes, likely representing very early-stage changes in normal-appearing brain tissue. This study investigated how the different stages of WML, from a "pre-visible" stage to fully developed lesions, predict future cognitive decline. MRI scans of 78 subjects, aged 65-84 years, from the Leukoaraiosis and Disability (LADIS) study were analyzed using a self supervised multispectral segmentation algorithm to identify tissue types and partial VVML volumes. Each lesion voxel was classified as having a small (33%), intermediate (66%), or high (100%) proportion of lesion tissue. The subjects were evaluated with detailed clinical and neuropsychological assessments at baseline and at three annual follow-up visits. We found that voxels with small partial WML predicted lower executive function compound scores at baseline, and steeper decline of executive scores in follow-up, independently of the demographics and the conventionally estimated hyperintensity volume on fluid-attenuated inversion recovery images. The intermediate and fully developed lesions were related to impairments in multiple cognitive domains including executive functions, processing speed, memory, and global cognitive function. In conclusion, early-stage partial WML, still too faint to be clearly detectable on conventional MRI, already predict executive dysfunction and progressive cognitive decline regardless of the conventionally evaluated WML load. These findings advance early recognition of small vessel disease and incipient vascular cognitive impairment.
Subject: executive functions
cognition
image analysis
MRI
neuropsychology
white matter lesions
small vessel disease
MULTIPLE-SCLEROSIS
IMAGE-ANALYSIS
BRAIN
LADIS
MODEL
DISABILITY
HYPERINTENSITIES
LEUKOARAIOSIS
LACUNES
IMPACT
3124 Neurology and psychiatry
515 Psychology
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