Literature DB >> 19907176

Cortical thickness analysis to detect progressive mild cognitive impairment: a reference to Alzheimer's disease.

Valtteri Julkunen1, Eini Niskanen, Sebastian Muehlboeck, Maija Pihlajamäki, Mervi Könönen, Merja Hallikainen, Miia Kivipelto, Susanna Tervo, Ritva Vanninen, Alan Evans, Hilkka Soininen.   

Abstract

BACKGROUND/AIMS: Mild cognitive impairment (MCI) is associated with an increased risk of Alzheimer's disease (AD). It would be advantageous to be able to distinguish the characteristics of those MCI patients with a high probability to progress to AD if one wishes to monitor the disease development and treatment.
METHODS: We assessed the baseline MRI and maximum of 7 years clinical follow-up data of 60 MCI subjects in order to examine differences in cortical thickness (CTH) between the progressive MCI (P-MCI) and stable MCI (S-MCI) subjects. CTH was measured using an automatic computational surface-based method. During the follow-up, 15 MCI subjects converted to AD on average 1.9 +/- 1.3 years after the baseline examination, while 45 MCI subjects remained stable.
RESULTS: The P-MCI group displayed significantly reduced CTH bilaterally in the superior and middle frontal, superior, middle and inferior temporal, fusiform and parahippocampal regions as well as the cingulate and retrosplenial cortices and also in the right precuneal and paracentral regions compared to S-MCI subjects.
CONCLUSIONS: Analysis of CTH could be used in conjunction with neuropsychological testing to identify those subjects with imminent conversion from MCI to AD several years before dementia diagnosis. Copyright 2009 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2009        PMID: 19907176     DOI: 10.1159/000256274

Source DB:  PubMed          Journal:  Dement Geriatr Cogn Disord        ISSN: 1420-8008            Impact factor:   2.959


  22 in total

1.  Discriminant analysis of longitudinal cortical thickness changes in Alzheimer's disease using dynamic and network features.

Authors:  Yang Li; Yaping Wang; Guorong Wu; Feng Shi; Luping Zhou; Weili Lin; Dinggang Shen
Journal:  Neurobiol Aging       Date:  2011-01-26       Impact factor: 4.673

2.  Automated MR morphometry to predict Alzheimer's disease in mild cognitive impairment.

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3.  Sensorimotor, visual, and auditory cortical atrophy in Unverricht-Lundborg disease mapped with cortical thickness analysis.

Authors:  P Koskenkorva; E Niskanen; J Hyppönen; M Könönen; E Mervaala; H Soininen; R Kälviäinen; R Vanninen
Journal:  AJNR Am J Neuroradiol       Date:  2012-01-19       Impact factor: 3.825

4.  Identify a shared neural circuit linking multiple neuropsychiatric symptoms with Alzheimer's pathology.

Authors:  Xixi Wang; Ping Ren; Mark Mapstone; Yeates Conwell; Anton P Porsteinsson; John J Foxe; Rajeev D S Raizada; Feng Lin
Journal:  Brain Imaging Behav       Date:  2019-02       Impact factor: 3.978

5.  Increased fMRI signal with age in familial Alzheimer's disease mutation carriers.

Authors:  Meredith N Braskie; Luis D Medina; Yaneth Rodriguez-Agudelo; Daniel H Geschwind; Miguel Angel Macias-Islas; Jeffrey L Cummings; Susan Y Bookheimer; John M Ringman
Journal:  Neurobiol Aging       Date:  2010-12-03       Impact factor: 4.673

6.  Complexity analysis of cortical surface detects changes in future Alzheimer's disease converters.

Authors:  Juan Ruiz de Miras; Víctor Costumero; Vicente Belloch; Joaquín Escudero; César Ávila; Jorge Sepulcre
Journal:  Hum Brain Mapp       Date:  2017-08-30       Impact factor: 5.038

7.  Event time analysis of longitudinal neuroimage data.

Authors:  Mert R Sabuncu; Jorge L Bernal-Rusiel; Martin Reuter; Douglas N Greve; Bruce Fischl
Journal:  Neuroimage       Date:  2014-04-13       Impact factor: 6.556

8.  A longitudinal study of atrophy in amnestic mild cognitive impairment and normal aging revealed by cortical thickness.

Authors:  Zhijun Yao; Bin Hu; Chuanjiang Liang; Lina Zhao; Mike Jackson
Journal:  PLoS One       Date:  2012-11-02       Impact factor: 3.240

9.  Biomarkers of Cognitive Training Effects in Aging.

Authors:  Sylvie Belleville; Louis Bherer
Journal:  Curr Transl Geriatr Exp Gerontol Rep       Date:  2012-04-19

10.  Structural MRI in frontotemporal dementia: comparisons between hippocampal volumetry, tensor-based morphometry and voxel-based morphometry.

Authors:  Miguel Ángel Muñoz-Ruiz; Päivi Hartikainen; Juha Koikkalainen; Robin Wolz; Valtteri Julkunen; Eini Niskanen; Sanna-Kaisa Herukka; Miia Kivipelto; Ritva Vanninen; Daniel Rueckert; Yawu Liu; Jyrki Lötjönen; Hilkka Soininen
Journal:  PLoS One       Date:  2012-12-20       Impact factor: 3.240

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