Supporting evidence for using biomarkers in the diagnosis of MCI due to AD. - Wikidata - awgldk - TriplyDB

Supporting evidence for using biomarkers in the diagnosis of MCI due to AD.

Supporting evidence for using biomarkers in the diagnosis of MCI due to AD.

http://www.wikidata.org/entity/Q45178246

about

Mild Cognitive Impairment: Structural, Metabolical, and Neurophysiological Evidence of a Novel EEG Biomarker Meta-Review of CSF Core Biomarkers in Alzheimer's Disease: The State-of-the-Art after the New Revised Diagnostic Criteria Improving CSF Biomarkers' Performance for Predicting Progression from Mild Cognitive Impairment to Alzheimer's Disease by Considering Different Confounding Factors: A Meta-Analysis.Validation of an optimized SPM procedure for FDG-PET in dementia diagnosis in a clinical setting A lipoprotein receptor cluster IV mutant preferentially binds amyloid-β and regulates its clearance from the mouse brain Brain metabolic maps in Mild Cognitive Impairment predict heterogeneity of progression to dementia.Theta and alpha EEG frequency interplay in subjects with mild cognitive impairment: evidence from EEG, MRI, and SPECT brain modifications.Atrophy and lower regional perfusion of temporo-parietal brain areas are correlated with impairment in memory performances and increase of EEG upper alpha power in prodromal Alzheimer's disease.Association of EEG, MRI, and regional blood flow biomarkers is predictive of prodromal Alzheimer's disease.Conversion of mild cognitive impairment patients in Alzheimer's disease: prognostic value of Alpha3/Alpha2 electroencephalographic rhythms power ratio.Understanding early dementia: EEG, MRI, SPECT and memory evaluation.Electroencephalography-driven approach to prodromal Alzheimer's disease diagnosis: from biomarker integration to network-level comprehension.EEG upper/low alpha frequency power ratio relates to temporo-parietal brain atrophy and memory performances in mild cognitive impairment.Increase of theta frequency is associated with reduction in regional cerebral blood flow only in subjects with mild cognitive impairment with higher upper alpha/low alpha EEG frequency power ratio.The many questions on the use of biomarkers for neurodegenerative diseases in clinical practice.Neurological update: dementia.Translation of Pre-Clinical Studies into Successful Clinical Trials for Alzheimer's Disease: What are the Roadblocks and How Can They Be Overcome?Routine lumbar puncture for the early diagnosis of Alzheimer's disease. Is it safe?Alzheimer's Disease: Biomarkers in the Genome, Blood, and Cerebrospinal Fluid.Neural correlates of visual memory in patients with diffuse axonal injury.Feasibility and acceptance of simultaneous amyloid PET/MRI.A Cochrane review on brain [¹⁸F]FDG PET in dementia: limitations and future perspectives.Theta-Gamma Coupling and Working Memory in Alzheimer's Dementia and Mild Cognitive Impairment.

P2860

Q26798663-97AD6BBC-8C6F-43C8-ADAB-04D8BA177B78 Q26864063-E2A25C22-1C4A-4108-A9FA-8FAB959DA1A9 Q34349522-41868359-21C0-4B93-8B7E-7BAB4626FD98 Q34477727-11FD7A5E-D781-4810-9863-F7BAF0977660 Q34666433-3DAF6E85-52D1-4622-87C9-9046D528E128 Q34988649-BC035B61-A205-4837-9541-B3C664141ADD Q35409410-2F89085C-876C-4909-B080-04591AF85173 Q36057094-8FC44005-74C8-42F9-B7FB-405A353658A5 Q36239946-6D96237C-BC95-40AF-8916-DBAE9DC975D3 Q36417174-9120C6CF-5B42-48AC-8458-50377A42C47A Q37074545-93AF8DA7-25D5-4C5C-B71F-505C60F36A38 Q37082757-8EA5F171-AE49-4DCA-AA0D-8A900DC68806 Q37253788-82C11C02-21EE-411D-8082-7E0CBEF9A70D Q37365365-EA691F0D-48E5-476D-A64D-96E1258B038A Q37642378-FBA903A3-D659-4AB9-AD53-CBB5094BA9C3 Q38185573-B73A6BBC-20AE-4745-BCF0-151498760924 Q38592069-26C5BF76-EEE7-4DF0-B03E-E79C8409F0F2 Q38779363-F21DEE7C-C5E2-41D8-AC9F-FA42BA29494E Q39217840-04A09FCA-49D2-44DF-A571-C80CB5C829E9 Q47273494-50AB6030-7CF2-471A-AC56-E968FDDA8790 Q47738160-554A7C3C-F015-4E72-A54C-C261C156979D Q48132965-761277B0-5A5F-4B5D-A096-4F220AEC4E99 Q55347275-D4B4A851-480B-4002-88DB-8FDCADECE13B

P2860

Supporting evidence for using biomarkers in the diagnosis of MCI due to AD.

http://www.wikidata.org/entity/Q45178246

description

2012 nî lūn-bûn

@nan

2012年の論文

@ja

2012年学术文章

@wuu

2012年学术文章

@zh

2012年学术文章

@zh-cn

2012年学术文章

@zh-hans

2012年学术文章

@zh-my

2012年学术文章

@zh-sg

2012年學術文章

@yue

2012年學術文章

@zh-hant

name

Supporting evidence for using biomarkers in the diagnosis of MCI due to AD.

@en

Supporting evidence for using biomarkers in the diagnosis of MCI due to AD.

@nl

type

label

Supporting evidence for using biomarkers in the diagnosis of MCI due to AD.

@en

Supporting evidence for using biomarkers in the diagnosis of MCI due to AD.

@nl

prefLabel

Supporting evidence for using biomarkers in the diagnosis of MCI due to AD.

@en

Supporting evidence for using biomarkers in the diagnosis of MCI due to AD.

@nl

P1433

Q45178246-37125DA8-3C18-4B61-82DF-6C0A9859B870

P1476

Q45178246-8F4D9285-1641-4BBA-B6B8-A2F954F31C06

P2093

Q45178246-10179EC2-B182-4CAB-BE3F-F0E5142A77FA

Q45178246-4D008742-604F-4D9E-A5AF-1BFD63198019

Q45178246-4F4607FE-A48B-4806-BDFF-5DC4D0ACDCB7

Q45178246-955E6C81-799A-46EF-A4CC-AC7A1C27C4A6

Q45178246-AB81E6BF-953E-4894-9BBF-736E7AF58481

Q45178246-F94544C9-F299-4D87-9E78-BDB427E6C1F3

P2860

Q45178246-0D8C06E5-7533-4A99-82F4-FC1806330AE6

Q45178246-0E2016E3-7695-4AE9-8257-0DD7214704B8

Q45178246-1238D89C-A6EF-410E-AB7B-DDC7635C013C

Q45178246-1D964785-CD17-470B-91D3-2C29A6995843

Q45178246-22552A5F-4D5E-4EB6-AC54-B58371394669

Q45178246-23DA9D60-945B-44C4-9E28-8162FB15D122

Q45178246-267E072D-4E69-4947-A78D-712949334886

Q45178246-3B91945B-9211-461D-A2AE-C2E35D378775

Q45178246-3CD6D1F8-5453-4366-95C9-A5A32D214C0A

Q45178246-4E9B3631-B52B-439D-BB3F-AE01CDEEF250

P2888

Q45178246-15D4B9F6-1EFC-4966-926B-81995244895C

P304

Q45178246-5957EFCF-E600-4261-8735-7F3B09374905

P31

Q45178246-ED499637-D02A-46A5-9B08-9121D9D7DEAB

P356

Q45178246-7F7D9CFC-766D-4009-90D9-94EB050A677D

P433

Q45178246-2817DF56-9ABC-4BAC-8CF2-C651480D6ED8

P478

Q45178246-7A5BF139-8F5A-4625-BE59-26BFC4801D6F

P50

Q45178246-367CD4D7-5D77-4147-8595-427DC79C23EA

Q45178246-5EBCF61F-211E-49B1-A527-92CB6E9CB470

Q45178246-7073B915-4CEC-46DD-8834-354A495164C1

Q45178246-A319A537-9752-4C67-A2E3-FBD037779BED

Q45178246-B35EEC50-9FE9-4006-AC38-C5AB165A486A

Q45178246-BD3593DB-90CD-4747-B219-97D01FD11E36

Q45178246-DAC77C45-ABB8-4382-9B5E-732FEF7050DF

P577

Q45178246-C99EA3C4-AE0A-41E2-98FF-9105194032BA

P5875

Q45178246-09D3C235-3D33-4716-8E3A-74C703AE7BC1

P6179

Q45178246-0CA9E412-6328-494F-83D5-548F830238A5

P698

Q45178246-9E54C280-75B2-4858-A890-128C6E48C36D

P921

Q45178246-58A48E75-9F8D-41AD-BC68-5EFF7E721281

P356

S00415-012-6694-0

P1433

Journal of Neurology

P1476

Supporting evidence for using biomarkers in the diagnosis of MCI due to AD.

@en

P2093

Barbara Paghera

http://www.w3.org/2001/XMLSchema#string

Giovanni Amicucci

http://www.w3.org/2001/XMLSchema#string

Luisella Bocchio-Chiavetto

http://www.w3.org/2001/XMLSchema#string

Matteo Bonetti

http://www.w3.org/2001/XMLSchema#string

Translational Outpatient Memory Clinic Working Group

http://www.w3.org/2001/XMLSchema#string

P2860

“Mini-mental state”

A window into the heterogeneity of human cerebrospinal fluid Aβ peptides

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

The diagnosis of dementia due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease

The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease

Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade

Temporoparietal hypometabolism in frontotemporal lobar degeneration and associated imaging diagnostic errors.

The Italian Brain Normative Archive of structural MR scans: norms for medial temporal atrophy and white matter lesions.

Core candidate neurochemical and imaging biomarkers of Alzheimer's disease.

Clinical, genetic and pathological heterogeneity of frontotemporal dementia: a review.

P2888

s00415-012-6694-0

P304

640-650

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1007/S00415-012-6694-0

http://www.w3.org/2001/XMLSchema#string

P433

2

http://www.w3.org/2001/XMLSchema#string

P478

260

http://www.w3.org/2001/XMLSchema#string

P50

Giovanni B. Frisoni

Samantha Galluzzi

Cristina Geroldi

Cristian Bonvicini

Roberta Ghidoni

P577

2012-10-16T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

232256176

http://www.w3.org/2001/XMLSchema#string

P6179

1031425903

http://www.w3.org/2001/XMLSchema#string

P698

23070466

http://www.w3.org/2001/XMLSchema#string

P921