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1516 citation(s) found for "Jack, Clifford R".

Progressive dysexecutive syndrome due to Alzheimer’s disease: A description of 55 cases and comparisons to other clinical AD phenotypes
Townley, Ryan , Graff‐Radford, Jonathan, Przybelski, Scott A. , Reichard, Ross R., Savica, Rodolfo , Drubach, Daniel A., Josephs, Keith A. , Lowe, Val J. , Petersen, Ronald C. , Graff‐Radford, Jonathan , Mantyh, William G. , Botha, Hugo , Polsinelli, Angelina J. , Machulda, Mary M. , Senjem, Matthew L. , Murray, Melissa E. , Boeve, Bradley F. , Knopman, David S. , Jack, Clifford R. , Jones, David T.

Mayo Clinic

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S6 | Pages: No page available

10.1002/alz.040622 Get It

AbstractBackgroundWe report a group of individuals presenting with a progressive dementia syndrome characterized by predominant dysfunction in core executive functions and positive biomarkers for Alzheimer’s pathophysiology.MethodIn this retrospective review, we report on 55 participants with a clinically defined progressive dysexecutive syndrome with 18F‐fluorodeoxyglucose‐positron emission tomography (FDG) and AD biomarker positivity. A subset of these individuals enrolled in our ADRC were compared to other phenotypic variants of AD.ResultSixty‐two percent were female with a mean of 15.2 years of education. Mean age of symptom onset was 53.8 while mean age at diagnosis was 57.2 years. Multi‐domain cognitive impairment was evident in neuropsychological testing with executive dysfunction most consistently and severely affected. The frontal and/or parietal regions demonstrate clear hypometabolism on positron emission tomography in all cases. Genetic testing for autosomal dominant genes was negative in all 8 participants tested and at least one APOE ε4 allele was present in 14/26. EEG was abnormal in 14/17 cases. CSF and neuroimaging biomarkers (PIB‐PET and Tau‐PET) were consistent with Alzheimer’s disease pathophysiology, although CSF p‐tau was normal in 24% of cases. In two participants that came to autopsy, the hippocampus was relatively spared compared to frontal and parietal cortex. Participants presenting with a progressive dysexecutive syndrome and evidence of AD pathology are labeled dAD. Comparing FDG in dAD relative to other AD phenotypes revealed unique areas of relatively greater hypometabolism in parieto‐frontal cortex and relative sparing of medial temporal (vs typical AD), visual (vs PCA), and left temporal (vs lvPPA) (Figure 1). Controlling for age did not alter patterns of regional differences. This demonstrates regional variability related to clinical phenotype not accountable by variation in age, duration, stage, or severity (Figure 2).ConclusionA progressive dysexecutive syndrome should be recognized as a distinct clinical phenotype. This clinical presentation can be due to Alzheimer’s disease but is not specific for any single etiology (non‐AD cases of progressive dysexecutive syndrome will be discussed). Prominent impairment of executive task performance, young‐age of onset, normal CSF p‐tau, and relative preservation of the hippocampus were commonly encountered in this case series of dAD.
NIA‐AA AD framework stage 2: Performance in the community
Petersen, Ronald C. , Wiste, Heather J. , Therneau, Terry M. , Lowe, Val J. , Machulda, Mary M. , Geda, Yonas E. , Kremers, Walter K. , Knopman, David S. , Mielke, Michelle M. , Jack, Clifford R.

Mayo Clinic

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S6 | Pages: No page available

10.1002/alz.040262 Get It

AbstractBackgroundThe NIA‐AA Research Framework for Alzheimer’s disease (AD) includes consideration of two clinical schemes for staging AD: (1) traditional cognitively unimpaired (CU) to MCI to dementia and (2) a new numeric staging (1‐6) for individuals who are on the Alzheimer’s continuum.MethodThe Mayo Clinic Study of Aging is a population‐based longitudinal study of aging and cognitive impairment in Olmsted County, Minnesota. We analyzed CU persons who had completed three consecutive clinical visits and calculated measures for cross‐sectional categories: objective cognitive impairment and function and measures for change including subjective cognitive impairment (SCD), objective cognitive change (ΔOBJ), and new onset of neurobehavioral symptoms (NBS). We calculated the frequencies for Stage 2 by varying the cutoffs for each of the measures above and assessed stability of this stage over 15 months.ResultThe frequency of Stage 2 varied from 5‐48% depending upon the age of the participants and the cutoff scores used. Membership in Stage 2 required abnormal SCD, ΔOBJ, or ΔNBS and having only ΔOBJ abnormal was the primary reason for inclusion in Stage 2 (45‐62%) followed by 10‐21% having only SCD abnormal. The stability of Stage 2 over 15 months ranged from 31‐65% with 5‐13% progressing to Stage 3 or higher and 22‐43% percent reverting to Stage 1.ConclusionStage 2 was characterized as a transitional period between CU and MCI and could be operationalized with a variety of measures. The staging scheme performed well considering the variables evaluated and cutoff scores employed.
White matter hypertensity burden varies in empirically derived incident MCI subtypes
Albertson, Sabrina M., Graff‐Radford, Jonathan , Petersen, Ronald C. , Bondi, Mark W. , Machulda, Mary M. , Lundt, Emily S. , Jack, Clifford R. , Mielke, Michelle M. , Kremers, Walter K. , Knopman, David S. , Jones, David T. , Vemuri, Prashanthi

Mayo Clinic

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S6 | Pages: No page available

10.1002/alz.039560 Get It

AbstractBackgroundWhite matter changes and Alzheimer’s disease pathology frequently co‐exist in the population. Recently we empirically derived subtypes of incident mild cognitive impairment (MCI) and found that there was significant heterogeneity not only in cognitive impairment profiles but also gray matter atrophy suggesting that multiple etiologies may contribute to cognitive impairment in these subtypes. The aim of this study was to examine differences in white matter hyperintensity (WMH) volume in these same MCI subtypes and investigate amyloid deposition in a smaller subset.MethodWe analyzed data from 188 participants with incident MCI enrolled in the population‐based Mayo Clinic Study of Aging (MCSA) identified as having one of four MCI subtypes: subtle cognitive impairment (SCI), amnestic, dysnomic, and dysexecutive. All participants completed 3T imaging at the time of the MCI diagnosis. Using WMH volume scaled by TIV and PIB SUVR, we compared each MCI subtype to 344 cognitively impaired (CU) participants (mean age 78; 46% women) and each other.ResultThe amnestic (n = 83; mean age 80; 43% women), dysnomic (n = 30; mean age 84; 47% women) and dysexecutive subtypes (n = 49; mean age 83; 35% women) had significantly higher WMH volumes compared to CU (p < .02) while the SCI subtype (n = 26; mean age 80; 23% women) did not differ from CU (p = .76). Amongst the MCI subtypes, the amnestic (p = .04) and dysexecutive subtypes (p = .01) had significantly higher WMH volumes than the SCI subtype [Figure 1]. In a smaller subset of individuals who also completed PiB‐PET (17/26 SCI; 39/83 amnestic; 10/30 dysnomic, 28/49 dysexecutive), we found evidence for higher amyloid load in all MCI subgroups except the SCI group (p<0.05) in comparison to CU.ConclusionWe found significantly elevated levels of WMH and amyloid burden in amnestic, dysnomic, and dysexecutive subtypes of incident MCI supporting the notion that both vascular changes and amyloid contribute to the development of clinical symptoms. Surprisingly, WMH and amyloid positivity were not high in SCI suggesting that the pathophysiology in this group needs further investigation.
Functional connectivity is associated with tau spreading in dementia with Lewy bodies
Gunter, Jeffrey L. , Przybelski, Scott A. , Graff‐Radford, Jonathan, Savica, Rodolfo , Lowe, Val J. , Fields, Julie A. , Petersen, Ronald C. , Graff‐Radford, Neill R. , Kantarci, Kejal, Schumacher, Julia , Jones, David T. , Graff‐Radford, Jonathan , Schwarz, Christopher G. , Senjem, Matthew L. , Jack, Clifford R. , Knopman, David S. , Kremers, Walter K. , Ferman, Tanis J. , Boeve, Bradley F. , Thomas, Alan , Taylor, John‐Paul , Kantarci, Kejal

Mayo Clinic

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S2 | Pages: No page available

10.1002/alz.037681 Get It

AbstractBackgroundDementia with Lewy bodies (DLB) is neuropathologically defined by the presence of α‐synuclein aggregations, but many DLB cases show significant Alzheimer’s disease (AD) pathology in the form of β‐amyloid and tau. Our first objective was to investigate the effect of AD co‐pathology on functional network failure in DLB. Secondly, we studied how the distribution of tau relates to functional connectivity in DLB.MethodTwenty‐three DLB, 23 age‐ and sex‐matched AD, and 90 cognitively unimpaired (CU) participants underwent AV1451 tau‐PET, Pittsburgh compound‐B (PiB) PET, and resting state (rs)‐fMRI scans. The rs‐fMRI data were used to calculate the Network Failure Quotient (NFQ), a marker of functional network failure within the default mode network. The NFQ was then correlated with overall cortical tau standardized uptake value ratio (SUVr). The strength of inter‐regional functional connectivity was assessed using the Schaefer100 atlas. Tau‐PET covariance was measured as the correlation in AV1451 SUVr between any two regions across participants. The association between region‐to‐region functional connectivity and tau‐PET covariance was assessed using linear regression. Additionally, we identified the region with highest and the region with lowest tau SUVrs (tau hot‐ and coldspot) and tested whether tau SUVr in all other brain regions was associated with the strength of functional connectivity to these tau hot‐ and coldspots.ResultOverall higher cortical tau‐PET uptake correlated with higher NFQ (i.e. greater functional network failure) in DLB who were PiB+ (N=14, ρ=0.60, p=0.02), but not in DLB who were PiB‐ (N=9, ρ=‐0.06, p=0.87). Higher functional connectivity between regions was associated with higher tau covariance in CU, AD, and DLB, independent of PiB status. Higher functional connectivity of a target region to the tau hotspot (i.e. inferior/medial temporal cortex) was related to higher AV1451 SUVRs in the target region whereas higher functional connectivity to the tau coldspot (i.e. sensory‐motor cortex) was related to lower AV1451 SUVr in the target region.ConclusionGreater tau burden in DLB patients with β‐amyloid co‐pathology is associated with an AD‐like functional network failure. As previously demonstrated within the AD spectrum, functional connectivity may contribute to the spreading of tau across the brain also in DLB.
Relationship of hearing impairment with MRI brain volumes and cognitive decline in the Atherosclerosis Risk in Communities study
Reed, Nicholas S. , Albert, Marilyn S. , Resnick, Susan M. , Sharrett, Richey, Lin, Frank R. , Deal, Jennifer A. , Power, Melinda C. , Betz, Joshua , Gottesman, Rebecca F. , Jack, Clifford R.

Mayo Clinic

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S10 | Pages: No page available

10.1002/alz.046473 Get It

AbstractBackgroundHearing impairment is associated with cognitive decline but whether it is a cause or marker is unknown. We investigated the association of hearing impairment with brain volumes and 8‐year cognitive decline. Because the superior temporal gyrus (STG) is the location of the primary auditory cortex, we stratified results by STG volume to investigate if the association of hearing and cognition differed among participants with and without evidence of possible hearing‐related brain atrophy.MethodWe used data from 1195 community‐dwelling adults (72‐94 years, 61% female, 36% black) from the Atherosclerosis Risk in Communities Study. A composite cognitive score was created from 10 neuropsychological tests administered at 3 study visits spanning 8 years (2011‐13 to 2018‐19). Brain volumes were calculated from structural magnetic resonance imaging scans for 6 regions of interest. Pure tone air conduction hearing thresholds (frequencies 0.5‐4 kHz) were obtained in 2016‐17 and averaged, with better‐ear hearing impairment defined as an average >25 dB. Multivariable‐adjusted linear regression was used to estimate cross‐sectional differences in standardized brain volumes, adjusting for intracranial volume, demographic and clinical covariates. We estimated differences in annual rates of cognitive change by hearing impairment status adjusting for demographic and clinical covariates using linear mixed models; results were stratified by intracranial volume‐adjusted STG volume (below vs. equal to or greater than the median value).ResultThe mean STG volume difference comparing hearing impairment to normal hearing was ‐0.121 standard deviations (SD) (95% CI: ‐0.213, ‐0.028). Overall, the difference in the rate of cognitive decline associated with hearing impairment was ‐0.014 SD (‐0.023, ‐0.005). Hearing was more strongly associated with cognitive decline among participants with smaller STG volumes; rate difference, ‐0.014 SD (‐0.027, ‐0.002) compared to ‐0.008 (‐0.022, 0.006) for participants with larger STG volumes.ConclusionHearing impairment was associated with smaller brain volumes in the primary auditory region, but not with other regions. Our stratified analysis suggests that hearing treatment might be an important possible strategy to delay cognitive decline, even among participants with hearing‐related brain atrophy. Furthermore, the adverse cognitive effects of hearing impairment could potentially be mitigated if early hearing treatment can prevent STG atrophy.
Overview of dominantly inherited AD and top‐line DIAN‐TU results of solanezumab and gantenerumab
Clifford, David B., Coalier, Kelley A., Fagan, Anne M. , Farlow, Martin R. , Mills, Susan , Salloway, Stephen , Santacruz, Anna , Wang, Guoqiao , Snider, B. Joy, Mummery, Catherine J. , Surti, Ghulam M., Hannequin, Didier , Jiménez‐Velázquez, Ivonne Z. , Dyck, Christopher H. van , Gauthier, Serge , Galasko, Doug, Jayadev, Suman , Formaglio, Maïté, Clarnette, Roger, Pariente, Jérémie , Dubois, Bruno, Andersen, Scott W. , Holdridge, Karen C. , Mintun, Mark A., Sims, John R. , Yaari, R. , Baudler, Monika, Doody, Rachelle S., Fontoura, Paulo , Kerchner, Geoffrey A. , Team, DIAN‐TU Study, Bateman, Randall J. , Aschenbrenner, Andrew J. , Benzinger, Tammie L.S. , Cruchaga, Carlos , Goate, Alison , Gordon, Brian A. , Hassenstab, Jason , Jack, Clifford R. , Koeppe, Robert A. , McDade, Eric , Morris, John C. , Snyder, Peter J. , Xiong, Chengjie , Wallon, David , Berman, Sarah , Lah, James J. , Roberson, Erik D. , Honig, Lawrence S. , Sánchez‐Valle, Raquel , Brooks, William S. , Masters, Colin L. , Brosch, Jared R. , Hsiung, Ging‐Yuek Robin , Masellis, Mario , Dubois, Bruno, Pasquier, Florence , Delmar, Paul , Team, DIAN‐TU Study

Mayo Clinic

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S9 | Pages: No page available

10.1002/alz.041129 Get It

AbstractBackgroundAlzheimer’s disease (AD) prevention trials aim to intervene prior to significant neuronal loss, brain damage, and symptom onset to delay or slow cognitive decline. In dominantly inherited AD (DIAD), mutation carriers develop symptomatic AD at predictable ages with near 100% penetrance. In 2012, the Dominantly Inherited Alzheimer Network Trials Unit Adaptive Prevention Trial (DIAN‐TU APT) platform launched a double‐blind, randomized, placebo‐controlled, parallel group trial of two anti‐amyloid‐beta monoclonal antibodies with two different antigenic targets, gantenerumab and solanezumab (NCT01760005). The DIAN‐TU scientific development, implementation of the first AD prevention trial, trial challenges and opportunities, including dose escalation, and top‐line results will be presented.MethodDIAN was established in 2008 in response to a call from the National Institute of Aging to establish a network to study DIAD and enable future clinical trials. Successive breakthroughs in understanding disease processes enabled the launch of the DIAN‐TU adaptive prevention trial, a global adaptive platform trial supporting testing multiple drugs in parallel. The DIAN‐TU partners include patients and families at risk for DIAD, global academic researchers, the NIH, Alzheimer’s Association, philanthropic supporters, the DIAN‐TU Pharma Consortium, and pharmaceutical companies with drugs being tested. Important milestones include developing a platform to enable a comprehensive efficient treatment trial for this rare population, adding tau PET as part of AMP AD, adapting dosing mid‐trial and extending the original biomarker trial to continue randomized dosing to test a cognitive endpoint until the last patient reaches 4 years, developing a disease progression statistical model and inclusion of DIAN observational data to increase the power to determine drug effects.ResultThe primary and key secondary outcomes of the DIAN‐TU trial will be presented for each therapy in the context of targeting amyloid‐beta at pre‐clinical and clinically symptomatic stages of disease.ConclusionThese results inform about AD hypotheses, timing of treatment and the prospect of slowing, or preventing AD in DIAD and sporadic AD.
Gantenerumab in‐depth outcomes
Salloway, Stephen , Clifford, David B., Coalier, Kelley A., Fagan, Anne M. , Farlow, Martin R. , Mills, Susan , Santacruz, Anna , Wang, Guoqiao , Snider, B. Joy, Mummery, Catherine J. , Surti, Ghulam M., Hannequin, Didier , Jiménez‐Velázquez, Ivonne Z. , Dyck, Christopher H. van , Gauthier, Serge , Galasko, Doug, Jayadev, Suman , Formaglio, Maïté, Clarnette, Roger, Pariente, Jérémie , Dubois, Bruno, Baudler, Monika, Doody, Rachelle S., Fontoura, Paulo , Kerchner, Geoffrey A. , Team, DIAN‐TU Study, Bateman, Randall J. , Aschenbrenner, Andrew J. , Benzinger, Tammie L.S. , Cruchaga, Carlos , Goate, Alison , Gordon, Brian A. , Hassenstab, Jason , Jack, Clifford R. , Koeppe, Robert A. , McDade, Eric , Morris, John C. , Snyder, Peter J. , Xiong, Chengjie , Wallon, David , Berman, Sarah , Lah, James J. , Roberson, Erik D. , Honig, Lawrence S. , Sánchez‐Valle, Raquel , Brooks, William S. , Masters, Colin L. , Brosch, Jared R. , Hsiung, Ging‐Yuek Robin , Masellis, Mario , Dubois, Bruno, Pasquier, Florence , Delmar, Paul , Team, DIAN‐TU Study

Mayo Clinic

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S9 | Pages: No page available

10.1002/alz.038049 Get It

AbstractBackgroundGantenerumab is a humanized anti‐amyloid‐beta monoclonal antibody in clinical development for the treatment of several stages of Alzheimer disease (AD). Gantenerumab was evaluated in a phase 2/3 clinical trial program designed to evaluate its efficacy in autosomal dominant AD based on a combination of clinical and biomarker evidence.MethodThe study enrolled both mutation carriers (n=69 with 3:1 randomization of treatment (n=52) vs placebo (n=17)) and non‐carriers (n=28, all on placebo) from 15 years before to 10 years after the expected age of onset inclusive. Patients were both asymptomatic (CDR 0 and MMSE >25) and symptomatic (CDR 0.5‐1 and MMSE >16). There were 41 asymptomatic and 28 symptomatic mutation carriers. The initial dose of gantenerumab was 225 mg monthly administered subcutaneously. The dose was titrated to 1200 mg/month following a protocol amendment based on the increased amyloid lowering seen at higher doses in the gantenerumab program in symptomatic AD. The treatment duration was a minimum of 4 years (range 48‐80 months). The primary outcome was change from baseline in the DIAN‐TU multivariate cognitive endpoint. Secondary clinical outcomes included the DIAN‐TU cognitive composite, Cogstate multivariate cognitive endpoint, CDR SB, and time to CDR progression of >0.5 points. Change from baseline in amyloid PET was the primary biomarker outcome. Other biomarker outcomes included MRI, tau PET, CSF amyloid, tau and phosphotau, and CSF and plasma neurofilament light (NfL). Safety outcomes including ARIA were compared between drug and placebo groups.ResultWe will report change from baseline on the DIAN‐TU multivariate cognitive endpoint, DIAN‐TU cognitive composite, CDR‐SB and other secondary efficacy endpoints. We expect significant lowering on amyloid PET with PIB and florbetapir based on the results from recent anti‐amyloid antibodies, including Gantenerumab, in sporadic AD. We will also present the results of change in other key imaging and fluid biomarkers. The frequency, duration, and severity of ARIA will be reported and compared with studies in sporadic AD.ConclusionThis clinical trial was designed to inform future for ADAD and will provide new insights on the role of amyloid reduction in both pre‐symptomatic and clinical AD.
Solanezumab in‐depth outcomes
Farlow, Martin R. , Clifford, David B. , Coalier, Kelley A., Fagan, Anne M. , Gordon, Brian A., Mills, Susan , Morris, John C., Salloway, Stephen P., Santacruz, Anna , Wang, Guoqiao , Snider, B. Joy, Mummery, Catherine J. , Surti, Ghulam M., Hannequin, Didier , Jiménez‐Velázquez, Ivonne Z. , Dyck, Christopher H. van , Gauthier, Serge , Galasko, Doug, Jayadev, Suman , Formaglio, Maïté, Clarnette, Roger, Pariente, Jérémie , Dubois, Bruno, Andersen, Scott W. , Holdridge, Karen C. , Mintun, Mark A., Sims, John R. , Yaari, Roy, Team, DIAN‐TU Study, Bateman, Randall J. , Aschenbrenner, Andrew J. , Benzinger, Tammie L.S. , Cruchaga, Carlos , Goate, Alison , Gordon, Brian A. , Hassenstab, Jason , Jack, Clifford R. , Koeppe, Robert A. , McDade, Eric , Morris, John C. , Snyder, Peter J. , Xiong, Chengjie , Wallon, David , Berman, Sarah , Lah, James J. , Roberson, Erik D. , Honig, Lawrence S. , Sánchez‐Valle, Raquel , Brooks, William S. , Masters, Colin L. , Brosch, Jared R. , Hsiung, Ging‐Yuek Robin , Masellis, Mario , Dubois, Bruno, Pasquier, Florence , Yaari, R. , Team, DIAN‐TU Study

Mayo Clinic

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S9 | Pages: No page available

10.1002/alz.038028 Get It

AbstractBackgroundSolanezumab is a monoclonal antibody targeting soluble forms of β‐amyloid protein important in the pathogenesis of Alzheimer’s disease (AD). Three previous 18‐month double‐blind placebo‐controlled trials of low‐dose solanezumab in late‐onset sporadic AD found inconsistent benefits on cognitive and functional assessments. Dominantly‐inherited mutation‐associated AD subjects both before and after onset of symptoms form an ideal population to study potential benefits of solanezumab therapy.MethodMutation‐carrying asymptomatic (CDR 0, N=41) or mildly symptomatic (CDR 0.5 – 1, N=28) patients were treated for a minimum of 4 years and up to 7 years in a double‐blind 3 to 1 active versus placebo randomized clinical trial that measured disease progression by clinical, neuropsychological and biomarker evaluations. The trial was initiated with a dose of 400 mg every 4 weeks and escalated to 1600 mg when low dose trials in sporadic AD did not meet their primary endpoints. The primary cognitive outcome measure was DIAN‐MCE, composed of Delayed Recall Score of the International Shopping List Test, the Delayed Recall score of the Logical Memory IIa subtest from the Wechsler Memory Scale‐Revised, the Digit Symbol Substitution Test total score from the WAIS‐R and the MMSE total score. Secondary outcomes included a battery of other cognitive and functional measures. The study was powered to detect delay of cognitive disease progression in the DIAN‐MCE. Biomarkers include imaging modalities (volumetric MRI, FDG, amyloid and Tau PET). CSF markers included β‐amyloid, Tau and PhosphoTau species. NfL was measured in both CSF and plasma. The study used a pre‐specified Bayesian multivariate disease progression model, which included dynamic borrowing of control subjects from the DIAN Observational study.ResultThe topline efficacy, safety and biomarker results will be reported.ConclusionThis study provides the first test of targeting soluble abeta forms in DIAD. It addresses the efficacy of early initiation of higher doses of solanezumab targeting soluble forms of amyloid as a disease modifying therapy. While these results are specific to DIAD, they have the potential to inform the application of anti‐amyloid therapy in sporadic AD.
Association of Cortical and Subcortical β-Amyloid With Standardized Measures of Depressive and Anxiety Symptoms in Adults Without Dementia
Syrjanen, Jeremy A. , Rakuša, Martin , Vemuri, Prashanthi , Kremers, Walter K. , Lowe, Val J. , Jack, Clifford R. , Stokin, Gorazd B. , Petersen, Ronald C. , Vassilaki, Maria , Geda, Yonas E. , Krell-Roesch, Janina, Jack, Clifford R , Vemuri, Prashanthi , Geda, Yonas E , Stokin, Gorazd , Kremers, Walter K , Krell‐Roesch, Janina , Machulda, Mary M. , Mielke, Michelle M. , Knopman, David S.

Mayo Clinic

The Journal of Neuropsychiatry and Clinical Neurosciences | October 22, 2020 | Volume: 33 | Issue: 1 | Pages: 64-71

10.1176/appi.neuropsych.20050103 | PMID 33086924 Get It