A comprehensive study of gray matter loss in patients with Alzheimer's disease using optimized voxel-based morphometry. (Q48320321)

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3 November 2019

title

A comprehensive study of gray matter loss in patients with Alzheimer's disease using optimized voxel-based morphometry (English)

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3 November 2019

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5

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3 November 2019

Clive Ballard

9

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3 November 2019

Ian G. McKeith

7

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3 November 2019

author name string

Karas GB

1

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3 November 2019

Burton EJ

2

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3 November 2019

Rombouts SA

3

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3 November 2019

van Schijndel RA

4

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3 November 2019

Scheltens P

6

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3 November 2019

Williams D

8

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3 November 2019

Barkhof F

10

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3 November 2019

language of work or name

English

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publication date

1 April 2003

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3 November 2019

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3 November 2019

volume

18

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3 November 2019

issue

4

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3 November 2019

page(s)

895-907

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Multimodal image coregistration and partitioning--a unified framework

3 November 2019

cites work

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Nonlinear spatial normalization using basis functions

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Voxel-based morphometry–the methods

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In vivo mapping of gray matter loss with voxel-based morphometry in mild Alzheimer's disease

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"Voxel-based morphometry" should not be used with imperfectly registered images

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Regional pattern of degeneration in Alzheimer's disease: neuronal loss and histopathological grading

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Voxel-based morphometry using the RAVENS maps: methods and validation using simulated longitudinal atrophy

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Cerebral asymmetry and the effects of sex and handedness on brain structure: a voxel-based morphometric analysis of 465 normal adult human brains

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A voxel-based morphometric study of ageing in 465 normal adult human brains

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Cost of Alzheimer's disease and related dementia in managed-medicare.

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Cerebral structure on MRI, part II: Specific changes in Alzheimer's and Huntington's diseases

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Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease

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7 January 2021

Depressive symptoms in acute schizophrenia

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Volumetry of Hippocampus and Amygdala with High-resolution MRI and Three-dimensional Analysis Software: Minimizing the Discrepancies between Laboratories

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Identifiers

DOI

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:12725765%20AND%20SRC:MED&resulttype=core&format=json

journals/neuroimage/KarasBRSOSMWBB03

3 November 2019

DBLP publication ID

1 reference

DBLP Dataset 2021-01-02

28 January 2021

1 reference