Tau positron emission tomography in preclinical Alzheimer’s disease

Rates of tau accumulation in cognitively unimpaired older adults are subtle, with magnitude and spatial patterns varying in recent reports. Regional accumulation also likely varies in the degree to which accumulation is amyloid-β-dependent. Thus, there is a need to evaluate the pattern and consisten...

Full description

Saved in:
Bibliographic Details
Published inBrain (London, England : 1878) Vol. 146; no. 2; pp. 700 - 711
Main Authors Insel, Philip S, Young, Christina B, Aisen, Paul S, Johnson, Keith A, Sperling, Reisa A, Mormino, Elizabeth C, Donohue, Michael C
Format Journal Article
LanguageEnglish
Published England Oxford University Press 13.02.2023
Subjects
Online AccessGet full text
ISSN0006-8950
1460-2156
1460-2156
DOI10.1093/brain/awac299

Cover

Loading…
Abstract Rates of tau accumulation in cognitively unimpaired older adults are subtle, with magnitude and spatial patterns varying in recent reports. Regional accumulation also likely varies in the degree to which accumulation is amyloid-β-dependent. Thus, there is a need to evaluate the pattern and consistency of tau accumulation across multiple cognitively unimpaired cohorts and how these patterns relate to amyloid burden, in order to design optimal tau end points for clinical trials. Using three large cohorts of cognitively unimpaired older adults, the Anti-Amyloid Treatment in Asymptomatic Alzheimer’s and companion study, Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (n = 447), the Alzheimer’s Disease Neuroimaging Initiative (n = 420) and the Harvard Aging Brain Study (n = 190), we attempted to identify regions with high rates of tau accumulation and estimate how these rates evolve over a continuous spectrum of baseline amyloid deposition. Optimal combinations of regions, tailored to multiple ranges of baseline amyloid burden as hypothetical clinical trial inclusion criteria, were tested and validated. The inferior temporal cortex, fusiform gyrus and middle temporal cortex had the largest effect sizes of accumulation in both longitudinal cohorts when considered individually. When tau regions of interest were combined to find composite weights to maximize the effect size of tau change over time, both longitudinal studies exhibited a similar pattern—inferior temporal cortex, almost exclusively, was optimal for participants with mildly elevated amyloid β levels. For participants with highly elevated baseline amyloid β levels, combined optimal composite weights were 53% inferior temporal cortex, 31% amygdala and 16% fusiform. At mildly elevated levels of baseline amyloid β, a sample size of 200/group required a treatment effect of 0.40–0.45 (40–45% slowing of tau accumulation) to power an 18-month trial using the optimized composite. Neither a temporal lobe composite nor a global composite reached 80% power with 200/group with an effect size under 0.5. The focus of early tau accumulation on the medial temporal lobe has resulted from the observation that the entorhinal cortex is the initial site to show abnormal levels of tau with age. However, these abnormal levels do not appear to be the result of a high rate of accumulation in the short term, but possibly a more moderate rate occurring early with respect to age. While the entorhinal cortex plays a central role in the early appearance of tau, it may be the inferior temporal cortex that is the critical region for rapid tau accumulation in preclinical Alzheimer’s disease.
AbstractList Rates of tau accumulation in cognitively unimpaired older adults are subtle, with magnitude and spatial patterns varying in recent reports. Regional accumulation also likely varies in the degree to which accumulation is amyloid-β-dependent. Thus, there is a need to evaluate the pattern and consistency of tau accumulation across multiple cognitively unimpaired cohorts and how these patterns relate to amyloid burden, in order to design optimal tau end points for clinical trials. Using three large cohorts of cognitively unimpaired older adults, the Anti-Amyloid Treatment in Asymptomatic Alzheimer's and companion study, Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (n = 447), the Alzheimer's Disease Neuroimaging Initiative (n = 420) and the Harvard Aging Brain Study (n = 190), we attempted to identify regions with high rates of tau accumulation and estimate how these rates evolve over a continuous spectrum of baseline amyloid deposition. Optimal combinations of regions, tailored to multiple ranges of baseline amyloid burden as hypothetical clinical trial inclusion criteria, were tested and validated. The inferior temporal cortex, fusiform gyrus and middle temporal cortex had the largest effect sizes of accumulation in both longitudinal cohorts when considered individually. When tau regions of interest were combined to find composite weights to maximize the effect size of tau change over time, both longitudinal studies exhibited a similar pattern-inferior temporal cortex, almost exclusively, was optimal for participants with mildly elevated amyloid β levels. For participants with highly elevated baseline amyloid β levels, combined optimal composite weights were 53% inferior temporal cortex, 31% amygdala and 16% fusiform. At mildly elevated levels of baseline amyloid β, a sample size of 200/group required a treatment effect of 0.40-0.45 (40-45% slowing of tau accumulation) to power an 18-month trial using the optimized composite. Neither a temporal lobe composite nor a global composite reached 80% power with 200/group with an effect size under 0.5. The focus of early tau accumulation on the medial temporal lobe has resulted from the observation that the entorhinal cortex is the initial site to show abnormal levels of tau with age. However, these abnormal levels do not appear to be the result of a high rate of accumulation in the short term, but possibly a more moderate rate occurring early with respect to age. While the entorhinal cortex plays a central role in the early appearance of tau, it may be the inferior temporal cortex that is the critical region for rapid tau accumulation in preclinical Alzheimer's disease.Rates of tau accumulation in cognitively unimpaired older adults are subtle, with magnitude and spatial patterns varying in recent reports. Regional accumulation also likely varies in the degree to which accumulation is amyloid-β-dependent. Thus, there is a need to evaluate the pattern and consistency of tau accumulation across multiple cognitively unimpaired cohorts and how these patterns relate to amyloid burden, in order to design optimal tau end points for clinical trials. Using three large cohorts of cognitively unimpaired older adults, the Anti-Amyloid Treatment in Asymptomatic Alzheimer's and companion study, Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (n = 447), the Alzheimer's Disease Neuroimaging Initiative (n = 420) and the Harvard Aging Brain Study (n = 190), we attempted to identify regions with high rates of tau accumulation and estimate how these rates evolve over a continuous spectrum of baseline amyloid deposition. Optimal combinations of regions, tailored to multiple ranges of baseline amyloid burden as hypothetical clinical trial inclusion criteria, were tested and validated. The inferior temporal cortex, fusiform gyrus and middle temporal cortex had the largest effect sizes of accumulation in both longitudinal cohorts when considered individually. When tau regions of interest were combined to find composite weights to maximize the effect size of tau change over time, both longitudinal studies exhibited a similar pattern-inferior temporal cortex, almost exclusively, was optimal for participants with mildly elevated amyloid β levels. For participants with highly elevated baseline amyloid β levels, combined optimal composite weights were 53% inferior temporal cortex, 31% amygdala and 16% fusiform. At mildly elevated levels of baseline amyloid β, a sample size of 200/group required a treatment effect of 0.40-0.45 (40-45% slowing of tau accumulation) to power an 18-month trial using the optimized composite. Neither a temporal lobe composite nor a global composite reached 80% power with 200/group with an effect size under 0.5. The focus of early tau accumulation on the medial temporal lobe has resulted from the observation that the entorhinal cortex is the initial site to show abnormal levels of tau with age. However, these abnormal levels do not appear to be the result of a high rate of accumulation in the short term, but possibly a more moderate rate occurring early with respect to age. While the entorhinal cortex plays a central role in the early appearance of tau, it may be the inferior temporal cortex that is the critical region for rapid tau accumulation in preclinical Alzheimer's disease.
Rates of tau accumulation in cognitively unimpaired older adults are subtle, with magnitude and spatial patterns varying in recent reports. Regional accumulation also likely varies in the degree to which accumulation is amyloid-β-dependent. Thus, there is a need to evaluate the pattern and consistency of tau accumulation across multiple cognitively unimpaired cohorts and how these patterns relate to amyloid burden, in order to design optimal tau end points for clinical trials. Using three large cohorts of cognitively unimpaired older adults, the Anti-Amyloid Treatment in Asymptomatic Alzheimer’s and companion study, Longitudinal Evaluation of Amyloid Risk and Neurodegeneration ( n = 447), the Alzheimer’s Disease Neuroimaging Initiative ( n = 420) and the Harvard Aging Brain Study ( n = 190), we attempted to identify regions with high rates of tau accumulation and estimate how these rates evolve over a continuous spectrum of baseline amyloid deposition. Optimal combinations of regions, tailored to multiple ranges of baseline amyloid burden as hypothetical clinical trial inclusion criteria, were tested and validated. The inferior temporal cortex, fusiform gyrus and middle temporal cortex had the largest effect sizes of accumulation in both longitudinal cohorts when considered individually. When tau regions of interest were combined to find composite weights to maximize the effect size of tau change over time, both longitudinal studies exhibited a similar pattern—inferior temporal cortex, almost exclusively, was optimal for participants with mildly elevated amyloid β levels. For participants with highly elevated baseline amyloid β levels, combined optimal composite weights were 53% inferior temporal cortex, 31% amygdala and 16% fusiform. At mildly elevated levels of baseline amyloid β, a sample size of 200/group required a treatment effect of 0.40–0.45 (40–45% slowing of tau accumulation) to power an 18-month trial using the optimized composite. Neither a temporal lobe composite nor a global composite reached 80% power with 200/group with an effect size under 0.5. The focus of early tau accumulation on the medial temporal lobe has resulted from the observation that the entorhinal cortex is the initial site to show abnormal levels of tau with age. However, these abnormal levels do not appear to be the result of a high rate of accumulation in the short term, but possibly a more moderate rate occurring early with respect to age. While the entorhinal cortex plays a central role in the early appearance of tau, it may be the inferior temporal cortex that is the critical region for rapid tau accumulation in preclinical Alzheimer’s disease. Insel et al. examine the regional accumulation of tau in three large cohorts of cognitively unimpaired older adults. They show that while the entorhinal cortex plays a central role in the early appearance of tau, it may be the inferior temporal cortex that is the critical region for rapid tau accumulation in preclinical Alzheimer’s disease.
Rates of tau accumulation in cognitively unimpaired older adults are subtle, with magnitude and spatial patterns varying in recent reports. Regional accumulation also likely varies in the degree to which accumulation is amyloid-β-dependent. Thus, there is a need to evaluate the pattern and consistency of tau accumulation across multiple cognitively unimpaired cohorts and how these patterns relate to amyloid burden, in order to design optimal tau end points for clinical trials. Using three large cohorts of cognitively unimpaired older adults, the Anti-Amyloid Treatment in Asymptomatic Alzheimer's and companion study, Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (n = 447), the Alzheimer's Disease Neuroimaging Initiative (n = 420) and the Harvard Aging Brain Study (n = 190), we attempted to identify regions with high rates of tau accumulation and estimate how these rates evolve over a continuous spectrum of baseline amyloid deposition. Optimal combinations of regions, tailored to multiple ranges of baseline amyloid burden as hypothetical clinical trial inclusion criteria, were tested and validated. The inferior temporal cortex, fusiform gyrus and middle temporal cortex had the largest effect sizes of accumulation in both longitudinal cohorts when considered individually. When tau regions of interest were combined to find composite weights to maximize the effect size of tau change over time, both longitudinal studies exhibited a similar pattern-inferior temporal cortex, almost exclusively, was optimal for participants with mildly elevated amyloid β levels. For participants with highly elevated baseline amyloid β levels, combined optimal composite weights were 53% inferior temporal cortex, 31% amygdala and 16% fusiform. At mildly elevated levels of baseline amyloid β, a sample size of 200/group required a treatment effect of 0.40-0.45 (40-45% slowing of tau accumulation) to power an 18-month trial using the optimized composite. Neither a temporal lobe composite nor a global composite reached 80% power with 200/group with an effect size under 0.5. The focus of early tau accumulation on the medial temporal lobe has resulted from the observation that the entorhinal cortex is the initial site to show abnormal levels of tau with age. However, these abnormal levels do not appear to be the result of a high rate of accumulation in the short term, but possibly a more moderate rate occurring early with respect to age. While the entorhinal cortex plays a central role in the early appearance of tau, it may be the inferior temporal cortex that is the critical region for rapid tau accumulation in preclinical Alzheimer's disease.
Rates of tau accumulation in cognitively unimpaired older adults are subtle, with magnitude and spatial patterns varying in recent reports. Regional accumulation also likely varies in the degree to which accumulation is amyloid-β-dependent. Thus, there is a need to evaluate the pattern and consistency of tau accumulation across multiple cognitively unimpaired cohorts and how these patterns relate to amyloid burden, in order to design optimal tau end points for clinical trials. Using three large cohorts of cognitively unimpaired older adults, the Anti-Amyloid Treatment in Asymptomatic Alzheimer’s and companion study, Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (n = 447), the Alzheimer’s Disease Neuroimaging Initiative (n = 420) and the Harvard Aging Brain Study (n = 190), we attempted to identify regions with high rates of tau accumulation and estimate how these rates evolve over a continuous spectrum of baseline amyloid deposition. Optimal combinations of regions, tailored to multiple ranges of baseline amyloid burden as hypothetical clinical trial inclusion criteria, were tested and validated. The inferior temporal cortex, fusiform gyrus and middle temporal cortex had the largest effect sizes of accumulation in both longitudinal cohorts when considered individually. When tau regions of interest were combined to find composite weights to maximize the effect size of tau change over time, both longitudinal studies exhibited a similar pattern—inferior temporal cortex, almost exclusively, was optimal for participants with mildly elevated amyloid β levels. For participants with highly elevated baseline amyloid β levels, combined optimal composite weights were 53% inferior temporal cortex, 31% amygdala and 16% fusiform. At mildly elevated levels of baseline amyloid β, a sample size of 200/group required a treatment effect of 0.40–0.45 (40–45% slowing of tau accumulation) to power an 18-month trial using the optimized composite. Neither a temporal lobe composite nor a global composite reached 80% power with 200/group with an effect size under 0.5. The focus of early tau accumulation on the medial temporal lobe has resulted from the observation that the entorhinal cortex is the initial site to show abnormal levels of tau with age. However, these abnormal levels do not appear to be the result of a high rate of accumulation in the short term, but possibly a more moderate rate occurring early with respect to age. While the entorhinal cortex plays a central role in the early appearance of tau, it may be the inferior temporal cortex that is the critical region for rapid tau accumulation in preclinical Alzheimer’s disease.
Author Insel, Philip S
Young, Christina B
Donohue, Michael C
Johnson, Keith A
Mormino, Elizabeth C
Aisen, Paul S
Sperling, Reisa A
Author_xml – sequence: 1
  givenname: Philip S
  orcidid: 0000-0001-6026-2238
  surname: Insel
  fullname: Insel, Philip S
– sequence: 2
  givenname: Christina B
  surname: Young
  fullname: Young, Christina B
– sequence: 3
  givenname: Paul S
  surname: Aisen
  fullname: Aisen, Paul S
– sequence: 4
  givenname: Keith A
  surname: Johnson
  fullname: Johnson, Keith A
– sequence: 5
  givenname: Reisa A
  surname: Sperling
  fullname: Sperling, Reisa A
– sequence: 6
  givenname: Elizabeth C
  surname: Mormino
  fullname: Mormino, Elizabeth C
– sequence: 7
  givenname: Michael C
  surname: Donohue
  fullname: Donohue, Michael C
BackLink https://www.ncbi.nlm.nih.gov/pubmed/35962782$$D View this record in MEDLINE/PubMed
BookMark eNp1kc1OxCAUhYnR6Iy6dGu6dFMF2kJZGWP8S0zc6JrcUnAwLVToaHTla_h6PonojEZNXF2S-3EOnDNFq847jdAOwfsEi-KgCWDdATyCokKsoAkpGc4pqdgqmmCMWV6LCm-gaYx3GJOyoGwdbRSVYJTXdIJOrmGeDT7aMXiX6d7GaNNh9L2_DTDMnjLrsiFo1VlnFXTZUfc807bX4e3lNWatjRqi3kJrBrqot5dzE92cnlwfn-eXV2cXx0eXuSqrcsxFS5gRWJmmaGpBa2Y45w2IUnBMqspgCqwllWGEE6PLAoyBWrHWNMLotmyKTXS40B3mTa9bpd0YoJNDsD2EJ-nByt8bZ2fy1j9IgglLhmVS2FsqBH8_13GU6ctKdx047edRUo4p4VwIktDdn2bfLl_hJSBfACr4GIM23wjB8qMc-VmOXJaT-OIPr-wIY8o7vdV2_9x6BzozmUU
CitedBy_id crossref_primary_10_1093_brain_awae034
crossref_primary_10_1162_imag_a_00405
crossref_primary_10_1002_alz_13609
crossref_primary_10_1016_j_brainresbull_2023_110797
crossref_primary_10_1038_s43587_023_00410_4
crossref_primary_10_1002_alz_14499
crossref_primary_10_3389_fnins_2023_1219299
crossref_primary_10_1038_s41398_023_02572_6
crossref_primary_10_1002_dad2_12565
crossref_primary_10_1007_s42081_025_00300_6
crossref_primary_10_1093_braincomms_fcae438
crossref_primary_10_3233_JAD_230180
crossref_primary_10_1002_alz_13533
crossref_primary_10_3389_fnagi_2024_1363458
crossref_primary_10_1109_ACCESS_2024_3381862
crossref_primary_10_1002_alz_14060
crossref_primary_10_1212_WNL_0000000000209447
crossref_primary_10_1016_j_arr_2024_102363
crossref_primary_10_1177_13872877241294084
crossref_primary_10_1007_s00429_023_02683_2
crossref_primary_10_1038_s42003_023_05034_3
crossref_primary_10_1093_brain_awad189
Cites_doi 10.1093/brain/awz090
10.1126/scitranslmed.3007941
10.2967/jnumed.111.090340
10.1111/j.1749-6632.2000.tb05554.x
10.1016/j.jalz.2016.08.005
10.1093/brain/awz378
10.1016/j.neuron.2016.01.028
10.1001/jamaneurol.2021.4654
10.1016/j.neuron.2022.03.034
10.1093/brain/awab114
10.1137/0916069
10.1002/alz.12213
10.1001/jamaneurol.2022.0676
10.1002/alz.053185
10.1016/S0896-6273(02)00569-X
10.1016/j.jalz.2018.12.001
10.1126/sciadv.aaz2387
10.1002/ana.24546
10.1016/j.dadm.2016.12.010
10.1038/s41573-022-00391-w
10.1016/j.neuroimage.2006.01.021
10.1523/JNEUROSCI.1601-21.2021
10.1016/j.neuroimage.2017.02.051
10.1007/s00401-015-1407-2
10.1093/brain/awy059
10.1111/j.2517-6161.1996.tb02080.x
10.1016/0197-4580(95)00021-6
10.1002/ana.25395
10.1002/ana.23650
10.1038/nrneurol.2015.251
10.1212/WNL.0000000000007831
10.1002/ana.25406
10.1002/1531-8249(199903)45:3<358::AID-ANA12>3.0.CO;2-X
10.1097/NEN.0b013e3181919a48
10.1212/WNL.0000000000011214
10.1016/j.jalz.2005.06.003
10.1001/jamaneurol.2020.0387
10.1093/braincomms/fcaa007
10.1056/NEJMoa2100708
10.1016/j.neuroimage.2017.05.058
10.1126/scitranslmed.abc0655
10.1016/j.neuroimage.2015.03.069
10.1016/j.neuroimage.2021.118553
10.1186/s40478-016-0315-6
ContentType Journal Article
Copyright The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com 2022
Copyright_xml – notice: The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
– notice: The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com 2022
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7X8
5PM
DOI 10.1093/brain/awac299
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
MEDLINE - Academic
DatabaseTitleList MEDLINE - Academic

MEDLINE
CrossRef
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 1460-2156
EndPage 711
ExternalDocumentID PMC10169284
35962782
10_1093_brain_awac299
Genre Research Support, Non-U.S. Gov't
Journal Article
Research Support, N.I.H., Extramural
GrantInformation_xml – fundername: NIA NIH HHS
  grantid: U19 AG010483
– fundername: NIA NIH HHS
  grantid: R01 AG049750
– fundername: NIA NIH HHS
  grantid: R01 AG063689
– fundername: NIA NIH HHS
  grantid: P30 AG010129
– fundername: NIA NIH HHS
  grantid: U01 AG024904
– fundername: NIA NIH HHS
  grantid: K01 AG030514
– fundername: ;
  grantid: P30 AG010129; K01 AG030514; R01 AG049750
GroupedDBID ---
-E4
-~X
.2P
.I3
.XZ
.ZR
0R~
1TH
23N
2WC
4.4
482
48X
53G
5GY
5RE
5VS
5WA
5WD
6PF
70D
AABZA
AACZT
AAIMJ
AAJKP
AAMDB
AAMVS
AAOGV
AAPNW
AAPQZ
AAPXW
AARHZ
AAUAY
AAVAP
AAVLN
AAWTL
AAYXX
ABDFA
ABEJV
ABEUO
ABGNP
ABIVO
ABIXL
ABJNI
ABKDP
ABLJU
ABMNT
ABNHQ
ABNKS
ABPQP
ABPTD
ABQLI
ABQNK
ABVGC
ABWST
ABXVV
ABXZS
ABZBJ
ACGFS
ACIWK
ACPRK
ACUFI
ACUTO
ACYHN
ADBBV
ADEYI
ADEZT
ADGKP
ADGZP
ADHKW
ADHZD
ADIPN
ADNBA
ADOCK
ADQBN
ADRTK
ADVEK
ADYVW
ADZXQ
AEGPL
AEJOX
AEKSI
AELWJ
AEMDU
AEMQT
AENEX
AENZO
AEPUE
AETBJ
AEWNT
AFFZL
AFGWE
AFIYH
AFOFC
AFXAL
AFYAG
AGINJ
AGKEF
AGORE
AGQXC
AGSYK
AGUTN
AHGBF
AHMBA
AHMMS
AHXPO
AIJHB
AJBYB
AJEEA
AJNCP
AKWXX
ALMA_UNASSIGNED_HOLDINGS
ALUQC
ALXQX
APIBT
APWMN
ARIXL
ATGXG
AXUDD
AYOIW
BAWUL
BAYMD
BCRHZ
BEYMZ
BHONS
BQDIO
BR6
BSWAC
BTRTY
BVRKM
C45
CDBKE
CITATION
COF
CS3
CZ4
DAKXR
DIK
DILTD
DU5
D~K
E3Z
EBS
EE~
EMOBN
ENERS
F5P
F9B
FECEO
FHSFR
FLUFQ
FOEOM
FOTVD
FQBLK
GAUVT
GJXCC
GX1
H13
H5~
HAR
HW0
HZ~
IOX
J21
J5H
JXSIZ
KAQDR
KOP
KQ8
KSI
KSN
L7B
M-Z
MHKGH
ML0
N9A
NGC
NLBLG
NOMLY
NOYVH
O9-
OAUYM
OAWHX
OBOKY
OCZFY
ODMLO
OHH
OJQWA
OJZSN
OK1
OPAEJ
OVD
OWPYF
P2P
PAFKI
PEELM
PQQKQ
Q1.
Q5Y
R44
RD5
ROL
ROX
RUSNO
RW1
RXO
TCURE
TEORI
TJX
TLC
TR2
VVN
W8F
WH7
WOQ
X7H
YAYTL
YKOAZ
YSK
YXANX
ZKX
~91
ADJQC
ADRIX
AFXEN
CGR
CUY
CVF
ECM
EIF
NPM
RIG
7X8
5PM
ACUTJ
KBUDW
ID FETCH-LOGICAL-c454t-9d16f90cfb3b89286f777ba94970155f02a6d15f6171fe43affa8c6dfb9fed4b3
ISSN 0006-8950
1460-2156
IngestDate Thu Aug 21 18:40:58 EDT 2025
Fri Jul 11 00:39:39 EDT 2025
Wed Feb 19 02:23:33 EST 2025
Tue Jul 01 00:46:14 EDT 2025
Thu Apr 24 22:54:36 EDT 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 2
Keywords clinical trial
tau
preclinical Alzheimer’s disease
amyloid β
Language English
License https://academic.oup.com/pages/standard-publication-reuse-rights
The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/pages/standard-publication-reuse-rights)
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c454t-9d16f90cfb3b89286f777ba94970155f02a6d15f6171fe43affa8c6dfb9fed4b3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ORCID 0000-0001-6026-2238
OpenAccessLink https://academic.oup.com/brain/article-pdf/146/2/700/50496776/awac299.pdf
PMID 35962782
PQID 2702177991
PQPubID 23479
PageCount 12
ParticipantIDs pubmedcentral_primary_oai_pubmedcentral_nih_gov_10169284
proquest_miscellaneous_2702177991
pubmed_primary_35962782
crossref_primary_10_1093_brain_awac299
crossref_citationtrail_10_1093_brain_awac299
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2023-02-13
PublicationDateYYYYMMDD 2023-02-13
PublicationDate_xml – month: 02
  year: 2023
  text: 2023-02-13
  day: 13
PublicationDecade 2020
PublicationPlace England
PublicationPlace_xml – name: England
– name: US
PublicationTitle Brain (London, England : 1878)
PublicationTitleAlternate Brain
PublicationYear 2023
Publisher Oxford University Press
Publisher_xml – name: Oxford University Press
References Budd Haeberlein (2023053118482637500_awac299-B9) 2022; 9
Insel (2023053118482637500_awac299-B34) 2020; 2
Insel (2023053118482637500_awac299-B2) 2019; 93
Adams (2023053118482637500_awac299-B31) 2022; 42
Sperling (2023053118482637500_awac299-B10) 2019; 85
Johnson (2023053118482637500_awac299-B24) 2016; 79
Mintun (2023053118482637500_awac299-B8) 2021; 384
Young (2023053118482637500_awac299-B15) 2021; 243
Leuzy (2023053118482637500_awac299-B36) 2021; 79
Desikan (2023053118482637500_awac299-B25) 2006; 31
Harrison (2023053118482637500_awac299-B32) 2018; 85
Berron (2023053118482637500_awac299-B38) 2021; 144
Mattsson (2023053118482637500_awac299-B7) 2019; 15
Jack (2023053118482637500_awac299-B29) 2017; 13
Joshi (2023053118482637500_awac299-B21) 2012; 53
Price (2023053118482637500_awac299-B6) 1999; 45
Betthauser (2023053118482637500_awac299-B13) 2020; 143
Mattsson-Carlgren (2023053118482637500_awac299-B44) 2020; 6
Sperling (2023053118482637500_awac299-B18) 2020; 77
Byrd (2023053118482637500_awac299-B28) 1995; 16
Krishnadas (2023053118482637500_awac299-B41) 2021; 17
Jack (2023053118482637500_awac299-B30) 2018; 141
Lockhart (2023053118482637500_awac299-B11) 2017; 150
Pontecorvo (2023053118482637500_awac299-B33) 2019; 142
Nelson (2023053118482637500_awac299-B40) 2009; 68
Sperling (2023053118482637500_awac299-B1) 2014; 6
Selkoe (2023053118482637500_awac299-B5) 2000; 924
Dagley (2023053118482637500_awac299-B17) 2017; 144
Knopman (2023053118482637500_awac299-B4) 2021; 17
Mueller (2023053118482637500_awac299-B16) 2005; 1
Karran (2023053118482637500_awac299-B3) 2022; 21
Vemuri (2023053118482637500_awac299-B12) 2016; 6
Sanchez (2023053118482637500_awac299-B35) 2021; 13
Jellinger (2023053118482637500_awac299-B39) 2015; 129
Lowe (2023053118482637500_awac299-B43) 2016; 4
Lee (2023053118482637500_awac299-B45) 2022; 110
Farrell (2023053118482637500_awac299-B20) 2021; 96
Braak (2023053118482637500_awac299-B37) 1995; 16
Fischl (2023053118482637500_awac299-B26) 2002; 33
Landau (2023053118482637500_awac299-B19) 2012; 72
Schöll (2023053118482637500_awac299-B14) 2016; 89
Jack (2023053118482637500_awac299-B42) 2016; 12
Maass (2023053118482637500_awac299-B23) 2017; 157
Tibshirani (2023053118482637500_awac299-B27) 1996; 58
Young (2023053118482637500_awac299-B22) 2022; 79
References_xml – volume: 142
  start-page: 1723
  year: 2019
  ident: 2023053118482637500_awac299-B33
  article-title: A multicentre longitudinal study of flortaucipir (18F) in normal ageing, mild cognitive impairment and Alzheimer’s disease dementia
  publication-title: Brain
  doi: 10.1093/brain/awz090
– volume: 6
  start-page: 228fs13
  year: 2014
  ident: 2023053118482637500_awac299-B1
  article-title: The A4 study: Stopping AD before symptoms begin?
  publication-title: Sci Transl Med
  doi: 10.1126/scitranslmed.3007941
– volume: 53
  start-page: 378
  year: 2012
  ident: 2023053118482637500_awac299-B21
  article-title: Performance characteristics of amyloid PET with florbetapir F 18 in patients with Alzheimer’s disease and cognitively normal subjects
  publication-title: J Nucl Med
  doi: 10.2967/jnumed.111.090340
– volume: 924
  start-page: 17
  year: 2000
  ident: 2023053118482637500_awac299-B5
  article-title: Toward a comprehensive theory for Alzheimer’s disease
  publication-title: Ann N Y Acad Sci
  doi: 10.1111/j.1749-6632.2000.tb05554.x
– volume: 13
  start-page: 205
  year: 2017
  ident: 2023053118482637500_awac299-B29
  article-title: Defining imaging biomarker cut points for brain aging and Alzheimer’s disease
  publication-title: Alzheimers Dement
  doi: 10.1016/j.jalz.2016.08.005
– volume: 143
  start-page: 320
  year: 2020
  ident: 2023053118482637500_awac299-B13
  article-title: Amyloid and tau imaging biomarkers explain cognitive decline from late middle-age
  publication-title: Brain
  doi: 10.1093/brain/awz378
– volume: 89
  start-page: 971
  year: 2016
  ident: 2023053118482637500_awac299-B14
  article-title: PET Imaging of tau deposition in the aging human brain
  publication-title: Neuron
  doi: 10.1016/j.neuron.2016.01.028
– volume: 79
  start-page: 149
  year: 2021
  ident: 2023053118482637500_awac299-B36
  article-title: Biomarker-based prediction of longitudinal tau positron emission tomography in Alzheimer disease
  publication-title: JAMA Neurol
  doi: 10.1001/jamaneurol.2021.4654
– volume: 110
  start-page: 1932
  year: 2022
  ident: 2023053118482637500_awac299-B45
  article-title: Regional aβ–tau interactions promote onset and acceleration of Alzheimer’s disease tau spreading
  publication-title: Neuron
  doi: 10.1016/j.neuron.2022.03.034
– volume: 144
  start-page: 2771
  year: 2021
  ident: 2023053118482637500_awac299-B38
  article-title: Early stages of tau pathology and its associations with functional connectivity, atrophy and memory
  publication-title: Brain
  doi: 10.1093/brain/awab114
– volume: 16
  start-page: 1190
  year: 1995
  ident: 2023053118482637500_awac299-B28
  article-title: A limited memory algorithm for bound constrained optimization
  publication-title: SIAM J Sci Comput
  doi: 10.1137/0916069
– volume: 17
  start-page: 696
  year: 2021
  ident: 2023053118482637500_awac299-B4
  article-title: Failure to demonstrate efficacy of aducanumab: An analysis of the EMERGE and ENGAGE trials as reported by Biogen, December 2019
  publication-title: Alzheimers Dement
  doi: 10.1002/alz.12213
– volume: 79
  start-page: 592
  year: 2022
  ident: 2023053118482637500_awac299-B22
  article-title: Divergent cortical tau positron emission tomography patterns among patients with preclinical Alzheimer disease
  publication-title: JAMA Neurol
  doi: 10.1001/jamaneurol.2022.0676
– volume: 17
  start-page: e053185
  year: 2021
  ident: 2023053118482637500_awac299-B41
  article-title: 18 F-MK6240 longitudinal tau PET in ageing and Alzheimer’s disease
  publication-title: Alzheimers Dement
  doi: 10.1002/alz.053185
– volume: 33
  start-page: 341
  year: 2002
  ident: 2023053118482637500_awac299-B26
  article-title: Whole brain segmentation: Neurotechnique automated labeling of neuroanatomical structures in the human brain
  publication-title: Neuron
  doi: 10.1016/S0896-6273(02)00569-X
– volume: 15
  start-page: 570
  year: 2019
  ident: 2023053118482637500_awac299-B7
  article-title: Predicting diagnosis and cognition with 18 F-AV-1451 tau PET and structural MRI in Alzheimer’s disease
  publication-title: Alzheimers Dement
  doi: 10.1016/j.jalz.2018.12.001
– volume: 9
  start-page: 197
  year: 2022
  ident: 2023053118482637500_awac299-B9
  article-title: Two randomized phase 3 studies of aducanumab in early Alzheimer’s disease
  publication-title: J Prev Alzheimers Dis
– volume: 6
  start-page: eaaz2387
  year: 2020
  ident: 2023053118482637500_awac299-B44
  article-title: Aβ deposition is associated with increases in soluble and phosphorylated tau that precede a positive tau PET in Alzheimer’s disease
  publication-title: Sci Adv
  doi: 10.1126/sciadv.aaz2387
– volume: 79
  start-page: 110
  year: 2016
  ident: 2023053118482637500_awac299-B24
  article-title: Tau positron emission tomographic imaging in aging and early Alzheimer disease
  publication-title: Ann Neurol
  doi: 10.1002/ana.24546
– volume: 6
  start-page: 21
  year: 2016
  ident: 2023053118482637500_awac299-B12
  article-title: Tau-PET uptake: Regional variation in average SUVR and impact of amyloid deposition
  publication-title: Alzheimers Dement (Amst)
  doi: 10.1016/j.dadm.2016.12.010
– volume: 21
  start-page: 306
  year: 2022
  ident: 2023053118482637500_awac299-B3
  article-title: The amyloid hypothesis in Alzheimer disease: New insights from new therapeutics
  publication-title: Nat Rev Drug Discov
  doi: 10.1038/s41573-022-00391-w
– volume: 31
  start-page: 968
  year: 2006
  ident: 2023053118482637500_awac299-B25
  article-title: An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2006.01.021
– volume: 42
  start-page: 1352
  year: 2022
  ident: 2023053118482637500_awac299-B31
  article-title: Distinct factors drive the spatiotemporal progression of tau pathology in older adults
  publication-title: J Neurosci
  doi: 10.1523/JNEUROSCI.1601-21.2021
– volume: 150
  start-page: 191
  year: 2017
  ident: 2023053118482637500_awac299-B11
  article-title: Amyloid and tau PET demonstrate region-specific associations in normal older people
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2017.02.051
– volume: 129
  start-page: 757
  year: 2015
  ident: 2023053118482637500_awac299-B39
  article-title: PART, a distinct tauopathy, different from classical sporadic Alzheimer disease
  publication-title: Acta Neuropathol
  doi: 10.1007/s00401-015-1407-2
– volume: 141
  start-page: 1517
  year: 2018
  ident: 2023053118482637500_awac299-B30
  article-title: Longitudinal tau PET in ageing and Alzheimer’s disease
  publication-title: Brain
  doi: 10.1093/brain/awy059
– volume: 58
  start-page: 267
  year: 1996
  ident: 2023053118482637500_awac299-B27
  article-title: Regression shrinkage and selection via the lasso
  publication-title: J R Stat Soc B
  doi: 10.1111/j.2517-6161.1996.tb02080.x
– volume: 16
  start-page: 271
  year: 1995
  ident: 2023053118482637500_awac299-B37
  article-title: Staging of Alzheimer’s disease-related neurofibrillary changes
  publication-title: Neurobiol Aging
  doi: 10.1016/0197-4580(95)00021-6
– volume: 85
  start-page: 181
  year: 2019
  ident: 2023053118482637500_awac299-B10
  article-title: The impact of amyloid-beta and tau on prospective cognitive decline in older individuals
  publication-title: Ann Neurol
  doi: 10.1002/ana.25395
– volume: 72
  start-page: 578
  year: 2012
  ident: 2023053118482637500_awac299-B19
  article-title: Amyloid deposition, hypometabolism, and longitudinal cognitive decline
  publication-title: Ann Neurol
  doi: 10.1002/ana.23650
– volume: 12
  start-page: 117
  year: 2016
  ident: 2023053118482637500_awac299-B42
  article-title: Suspected non-Alzheimer disease pathophysiology—Concept and controversy
  publication-title: Nat Rev Neurol
  doi: 10.1038/nrneurol.2015.251
– volume: 93
  start-page: e322
  year: 2019
  ident: 2023053118482637500_awac299-B2
  article-title: Determining clinically meaningful decline in preclinical Alzheimer disease
  publication-title: Neurology
  doi: 10.1212/WNL.0000000000007831
– volume: 85
  start-page: 229
  year: 2018
  ident: 2023053118482637500_awac299-B32
  article-title: Longitudinal tau accumulation and atrophy in aging and Alzheimer disease
  publication-title: Ann Neurol
  doi: 10.1002/ana.25406
– volume: 45
  start-page: 358
  year: 1999
  ident: 2023053118482637500_awac299-B6
  article-title: Tangles and plaques in nondemented aging and “preclinical” Alzheimer’s disease
  publication-title: Ann Neurol
  doi: 10.1002/1531-8249(199903)45:3<358::AID-ANA12>3.0.CO;2-X
– volume: 68
  start-page: 1
  year: 2009
  ident: 2023053118482637500_awac299-B40
  article-title: Neuropathology and cognitive impairment in Alzheimer disease: A complex but coherent relationship
  publication-title: J Neuropathol Exp Neurol
  doi: 10.1097/NEN.0b013e3181919a48
– volume: 96
  start-page: e619
  year: 2021
  ident: 2023053118482637500_awac299-B20
  article-title: Defining the lowest threshold for amyloid-PET to predict future cognitive decline and amyloid accumulation
  publication-title: Neurology
  doi: 10.1212/WNL.0000000000011214
– volume: 1
  start-page: 55
  year: 2005
  ident: 2023053118482637500_awac299-B16
  article-title: Ways toward an early diagnosis in Alzheimer ‘s disease: The Alzheimer’s disease neuroimaging initiative (ADNI)
  publication-title: Alzheimers Dement
  doi: 10.1016/j.jalz.2005.06.003
– volume: 77
  start-page: 735
  year: 2020
  ident: 2023053118482637500_awac299-B18
  article-title: Association of factors with elevated amyloid burden in clinically normal older individuals
  publication-title: JAMA Neurol
  doi: 10.1001/jamaneurol.2020.0387
– volume: 2
  start-page: fcaa007
  year: 2020
  ident: 2023053118482637500_awac299-B34
  article-title: Neuroanatomical spread of amyloid β and tau in Alzheimer’s disease: Implications for primary prevention
  publication-title: Brain Commun
  doi: 10.1093/braincomms/fcaa007
– volume: 384
  start-page: 1691
  year: 2021
  ident: 2023053118482637500_awac299-B8
  article-title: Donanemab in early Alzheimer’s disease
  publication-title: N Engl J Med
  doi: 10.1056/NEJMoa2100708
– volume: 157
  start-page: 448
  year: 2017
  ident: 2023053118482637500_awac299-B23
  article-title: Comparison of multiple tau-PET measures as biomarkers in aging and Alzheimer's disease
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2017.05.058
– volume: 13:
  start-page: eabc0655
  year: 2021
  ident: 2023053118482637500_awac299-B35
  article-title: The cortical origin and initial spread of medial temporal tauopathy in Alzheimer’s disease assessed with positron emission tomography
  publication-title: Sci Transl Med
  doi: 10.1126/scitranslmed.abc0655
– volume: 144
  start-page: 255
  year: 2017
  ident: 2023053118482637500_awac299-B17
  article-title: Harvard aging brain study: Dataset and accessibility
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2015.03.069
– volume: 243
  start-page: 118553
  year: 2021
  ident: 2023053118482637500_awac299-B15
  article-title: Influence of common reference regions on regional tau patterns in cross-sectional and longitudinal [18F]-AV-1451 PET data
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2021.118553
– volume: 4
  start-page: 58
  year: 2016
  ident: 2023053118482637500_awac299-B43
  article-title: An autoradiographic evaluation of AV-1451 tau PET in dementia
  publication-title: Acta Neuropathol Commun
  doi: 10.1186/s40478-016-0315-6
SSID ssj0014326
Score 2.5198705
Snippet Rates of tau accumulation in cognitively unimpaired older adults are subtle, with magnitude and spatial patterns varying in recent reports. Regional...
SourceID pubmedcentral
proquest
pubmed
crossref
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
StartPage 700
SubjectTerms Aged
Alzheimer Disease - diagnostic imaging
Amyloid beta-Peptides - metabolism
Brain - diagnostic imaging
Brain - metabolism
Cognitive Dysfunction
Humans
Magnetic Resonance Imaging
Original
Positron-Emission Tomography
tau Proteins - metabolism
Temporal Lobe - metabolism
Title Tau positron emission tomography in preclinical Alzheimer’s disease
URI https://www.ncbi.nlm.nih.gov/pubmed/35962782
https://www.proquest.com/docview/2702177991
https://pubmed.ncbi.nlm.nih.gov/PMC10169284
Volume 146
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3da9RAEF-0gvhSrJ9XrUQQfdDYZJPbzT4epWeVtr7cwb2F_aSBmpb7oNC_3tmPfNkTqi_h2NtswsxkmP3tzG8Q-iClNDzhRSzzDFvoxsSCFFnMdKaUGEvGlC1wPjsnJ_P8x2K86NKaXXXJWnyVt1vrSv5HqzAGerVVsv-g2XZRGIDfoF-4gobhej8d881nl3W1BB3axm0W-oJo8lfgoXYp4uDSmurHyeXtha5cvxS6GpzNtBRHvKq3dvnw0EFBix508N1Ws3eoTIeiti7EUxdUNe-aO0-qgPnYnMTultCpy5cKWWx40scjsD0Fjn05aXChOUliCCQCwfWWscbvBuyx6u1_vReljrz0rnf3zFdi6TCTKb_hEvvuSkMe7fOf5XR-elrOjhezh-gRhg2EddnfFm3yDwSJONSd-fcK7KvwgEO3_GFYfBit3NmC_JlJ2wtNZk_RbthTRBNvIHvoga6focdnIWviOToCO4kaO4kaO4k6O4mqOurZSdTayadVFKzkBZpPj2dHJ3FongFf3Thfx0ylxLBEGpGJguGCGEqp4Cxn1IbJJsGcqHRsIIJNjc4zbgwvJFFGMKNVLrKXaKe-qvVrFLGEKMawUQlTeYql0MQS9RHDZWao1iP0pRFSKQOzvG1wcln6DIesdDItg0xH6GM7_dpTqvxt4vtG4iWIxp5k8VpfbValLaJMKYW9zQi98hpol8pcP6kCj1Ax0E07wRKqD_-pqwtHrG6RLBBVvn-PB79BTzrrf4t21suNPoD4dC3eOVP7DTr-leA
linkProvider Geneva Foundation for Medical Education and Research
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Tau+positron+emission+tomography+in+preclinical+Alzheimer%27s+disease&rft.jtitle=Brain+%28London%2C+England+%3A+1878%29&rft.au=Insel%2C+Philip+S&rft.au=Young%2C+Christina+B&rft.au=Aisen%2C+Paul+S&rft.au=Johnson%2C+Keith+A&rft.date=2023-02-13&rft.issn=1460-2156&rft.eissn=1460-2156&rft.volume=146&rft.issue=2&rft.spage=700&rft_id=info:doi/10.1093%2Fbrain%2Fawac299&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0006-8950&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0006-8950&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0006-8950&client=summon