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780 citation(s) found for "Dickson, Dennis W".

Clinical criteria for a limbic-predominant amnestic neurodegenerative syndrome
Corriveau‐Lecavalier, Nick , Botha, Hugo , Graff‐Radford, Jonathan , Przybelski, Scott A. , Wiste, Heather J. , Murray, Melissa E. , Reichard, R. Ross , Dickson, Dennis W. , Nguyen, Aivi T. , Fields, Julie A. , Nelson, Peter T. , Lowe, Val J. , Petersen, Ronald C. , Jack, Clifford R. , Switzer, Aaron R , Murray, Melissa E , Reichard, Robert Ross, Dickson, Dennis W , Ramanan, Vijay K , Boeve, Brad , Stricker, Nikki H. , Grothe, Michel J , Knopman, David S. , Jack, Clifford R , Jones, David T , Botha, Hugo , Nguyen, Aivi T , Corriveau-Lecavalier, Nick , Switzer, Aaron , Ramanan, Vijay K. , McCarter, Stuart J. , Boeve, Bradley F. , Machulda, Mary M. , Grothe, Michel J. , Knopman, David S. , Jones, David T.

Mayo Clinic

Brain Communications | May 22, 2024 | Volume: 6 | Issue: 4 | Pages: No page available

10.1093/braincomms/fcae183 | PMID 39021510 Get It

Abstract Predominant limbic degeneration has been associated with various underlying aetiologies and an older age, predominant impairment of episodic memory and slow clinical progression. However, the neurological syndrome associated with predominant limbic degeneration is not defined. This endeavour is critical to distinguish such a syndrome from those originating from neocortical degeneration, which may differ in underlying aetiology, disease course and therapeutic needs. We propose a set of clinical criteria for a limbic-predominant amnestic neurodegenerative syndrome that is highly associated with limbic-predominant age-related TDP-43 encephalopathy but also other pathologic entities. The criteria incorporate core, standard and advanced features, including older age at evaluation, mild clinical syndrome, disproportionate hippocampal atrophy, impaired semantic memory, limbic hypometabolism, absence of neocortical degeneration and low likelihood of neocortical tau, with degrees of certainty (highest, high, moderate and low). We operationalized this set of criteria using clinical, imaging and biomarker data to validate its associations with clinical and pathologic outcomes. We screened autopsied patients from Mayo Clinic and Alzheimer’s Disease Neuroimaging Initiative cohorts and applied the criteria to those with an antemortem predominant amnestic syndrome (Mayo, n = 165; Alzheimer’s Disease Neuroimaging Initiative, n = 53) and who had Alzheimer’s disease neuropathological change, limbic-predominant age-related TDP-43 encephalopathy or both pathologies at autopsy. These neuropathology-defined groups accounted for 35, 37 and 4% of cases in the Mayo cohort, respectively, and 30, 22 and 9% of cases in the Alzheimer’s Disease Neuroimaging Initiative cohort, respectively. The criteria effectively categorized these cases, with Alzheimer’s disease having the lowest likelihoods, limbic-predominant age-related TDP-43 encephalopathy patients having the highest likelihoods and patients with both pathologies having intermediate likelihoods. A logistic regression using the criteria features as predictors of TDP-43 achieved a balanced accuracy of 74.6% in the Mayo cohort, and out-of-sample predictions in an external cohort achieved a balanced accuracy of 73.3%. Patients with high likelihoods had a milder and slower clinical course and more severe temporo-limbic degeneration compared to those with low likelihoods. Stratifying patients with both Alzheimer’s disease neuropathological change and limbic-predominant age-related TDP-43 encephalopathy from the Mayo cohort according to their likelihoods revealed that those with higher likelihoods had more temporo-limbic degeneration and a slower rate of decline and those with lower likelihoods had more lateral temporo-parietal degeneration and a faster rate of decline. The implementation of criteria for a limbic-predominant amnestic neurodegenerative syndrome has implications to disambiguate the different aetiologies of progressive amnestic presentations in older age and guide diagnosis, prognosis, treatment and clinical trials.
Assessment of Skin Biopsy as a Diagnostic Biomarker in CSF1R-Related Disorder
Dulski, Jarosław , Jiang, Peizhou , Lin, Wen‐Lang, Dickson, Dennis W. , Wszołek, Zbigniew K. , Wszolek, Z.K. , Dickson, Dennis W , Dulski, Jaroslaw

Mayo Clinic

Neurology | May 18, 2024 | Volume: 102 | Issue: 11 | Pages: No page available

10.1212/wnl.0000000000209437 | PMID 38759141 Get It

Case report: pre-symptomatic clinical and metabolic profile in posterior cortical atrophy and dementia with Lewy bodies
Shir, Dror , Graff-Radford, Jonathan, Petersen, Ronald C. , Nguyen, Aivi T. , Corriveau-Lecavalier, Nick , Nguyen, Aivi T , Shir, Dror , Corriveau‐Lecavalier, Nick , Graff‐Radford, Jonathan , Machulda, Mary M. , Knopman, David S. , Dickson, Dennis W. , Jones, David T.

Mayo Clinic

Neurocase | May 17, 2024 | Volume: 30 | Issue: 1 | Pages: 1-7

10.1080/13554794.2024.2348223 | PMID 38758704 Get It

TDP-43 Is Associated with Subiculum and Cornu Ammonis 1 Hippocampal Subfield Atrophy in Primary Age-Related Tauopathy
Youssef, Hossam , Gatto, Rodolfo G. , Pham, Nha Trang Thu, Petersen, Ronald C. , Reichard, R. Ross , Jack, Clifford R. , Whitwell, Jennifer L., Josephs, Keith A. , Jack, Clifford R , Whitwell, Jennifer L , Youseff, Hossam , Machulda, Mary M. , Dickson, Dennis W. , Whitwell, Jennifer

Mayo Clinic

Journal of Alzheimer’s Disease | May 10, 2024 | Volume: 99 | Issue: 3 | Pages: 1023-1032

10.3233/jad-240136 | PMID 38728190 Get It

Background: TAR DNA binding protein 43 (TDP-43) has been shown to be associated with whole hippocampal atrophy in primary age-related tauopathy (PART). It is currently unknown which subregions of the hippocampus are contributing to TDP-43 associated whole hippocampal atrophy in PART. Objective: To identify which specific hippocampal subfield regions are contributing to TDP-43-associated whole hippocampal atrophy in PART. Methods: A total of 115 autopsied cases from the Mayo Clinic Alzheimer Disease Research Center, Neurodegenerative Research Group, and the Mayo Clinic Study of Aging were analyzed. All cases underwent antemortem brain volumetric MRI, neuropathological assessment of the distribution of Aβ (Thal phase), and neurofibrillary tangle (Braak stage) to diagnose PART, as well as assessment of TDP-43 presence/absence in the amygdala, hippocampus and beyond. Hippocampal subfield segmentation was performed using FreeSurfer version 7.4.1. Statistical analyses using logistic regression were performed to assess for associations between TDP-43 and hippocampal subfield volumes, accounting for potential confounders. Results: TDP-43 positive patients ( n = 37, 32%), of which 15/15 were type-α, had significantly smaller whole hippocampal volumes, and smaller volumes of the body and tail of the hippocampus compared to TDP-43 negative patients. Subfield analyses revealed an association between TDP-43 and the molecular layer of hippocampal body and the body of cornu ammonis 1 (CA1), subiculum, and presubiculum regions. There was no association between TDP-43 stage and subfield volumes. Conclusions: Whole hippocampal volume loss linked to TDP-43 in PART is mainly due to volume loss occurring in the molecular layer, CA1, subiculum and presubiculum of the hippocampal body.
Clinicopathologic Heterogeneity and Glial Activation Patterns in Alzheimer Disease
Frankenhauser, Isabelle , Peng, Zhongwei , Labuzan, Sydney A. , Boon, Baayla D.C. , Moloney, Christina M. , Pottier, Cyril , Wickland, Daniel P. , Tranovich, Jessica F., Wood, Ashley , Hinkle, Kelly M., Lincoln, Sarah, Spychalla, Anthony J., Przybelski, Scott A. , Kwan, Rain S., Lesser, Elizabeth R. , Carter, Rickey E. , Ross, Owen A. , Lachner, Christian , Ertekin‐Taner, Nilüfer , Ferman, Tanis J. , Fields, Julie A. , Nguyen, Aivi T. , Reichard, R. Ross , Graff‐Radford, Jonathan , Petersen, Ronald C. , Jack, Clifford R. , Kantarci, Kejal , Day, Gregory S. , Duara, Ranjan , Graff‐Radford, Neill R. , Lowe, Val J. , Murray, Melissa E. , Kouri, Naomi , Caetano-Anolles, Kelsey, Corriveau-Lecavalier, Nick , Wood, Ashley C., Lincoln, Sarah J, Engelberg-Cook, Erica , Crook, Julia E. , Jack, Clifford R , Ross, Owen A , Carter, Rickey E , Kantarci, Kejal , Day, Gregory S , Murray, Melissa E , Ferman, Tanis J , Nguyen, Aivi T , Pottier, Cyril , Caetano-Anollés, Kelsey , Corriveau‐Lecavalier, Nick , Wood, Ashley C., Senjem, Matthew L. , Schwarz, Christopher G. , Machulda, Mary M. , Ramanan, Vijay K. , Jones, David T. , Boeve, Bradley F. , Knopman, David S. , Duara, Ranjan , Dickson, Dennis W. , Vemuri, Prashanthi

Mayo Clinic

JAMA Neurology | April 15, 2024 | Volume: 81 | Issue: 6 | Pages: 619

10.1001/jamaneurol.2024.0784 | PMID 38619853 Get It

Importance Factors associated with clinical heterogeneity in Alzheimer disease (AD) lay along a continuum hypothesized to associate with tangle distribution and are relevant for understanding glial activation considerations in therapeutic advancement. Objectives To examine clinicopathologic and neuroimaging characteristics of disease heterogeneity in AD along a quantitative continuum using the corticolimbic index (CLix) to account for individuality of spatially distributed tangles found at autopsy. Design, Setting, and Participants This cross-sectional study was a retrospective medical record review performed on the Florida Autopsied Multiethnic (FLAME) cohort accessioned from 1991 to 2020. Data were analyzed from December 2022 to December 2023. Structural magnetic resonance imaging (MRI) and tau positron emission tomography (PET) were evaluated in an independent neuroimaging group. The FLAME cohort includes 2809 autopsied individuals; included in this study were neuropathologically diagnosed AD cases (FLAME-AD). A digital pathology subgroup of FLAME-AD cases was derived for glial activation analyses. Main Outcomes and Measures Clinicopathologic factors of heterogeneity that inform patient history and neuropathologic evaluation of AD; CLix score (lower, relative cortical predominance/hippocampal sparing vs higher, relative cortical sparing/limbic predominant cases); neuroimaging measures (ie, structural MRI and tau-PET). Results Of the 2809 autopsied individuals in the FLAME cohort, 1361 neuropathologically diagnosed AD cases were evaluated. A digital pathology subgroup included 60 FLAME-AD cases. The independent neuroimaging group included 93 cases. Among the 1361 FLAME-AD cases, 633 were male (47%; median [range] age at death, 81 [54-96] years) and 728 were female (53%; median [range] age at death, 81 [53-102] years). A younger symptomatic onset (Spearman ρ = 0.39, P < .001) and faster decline on the Mini-Mental State Examination (Spearman ρ = 0.27; P < .001) correlated with a lower CLix score in FLAME-AD series. Cases with a nonamnestic syndrome had lower CLix scores (median [IQR], 13 [9-18]) vs not (median [IQR], 21 [15-27]; P < .001). Hippocampal MRI volume (Spearman ρ = −0.45; P < .001) and flortaucipir tau-PET uptake in posterior cingulate and precuneus cortex (Spearman ρ = −0.74; P < .001) inversely correlated with CLix score. Although AD cases with a CLix score less than 10 had higher cortical tangle count, we found lower percentage of CD68-activated microglia/macrophage burden (median [IQR], 0.46% [0.32%-0.75%]) compared with cases with a CLix score of 10 to 30 (median [IQR], 0.75% [0.51%-0.98%]) and on par with a CLix score of 30 or greater (median [IQR], 0.40% [0.32%-0.57%]; P = .02). Conclusions and Relevance Findings show that AD heterogeneity exists along a continuum of corticolimbic tangle distribution. Reduced CD68 burden may signify an underappreciated association between tau accumulation and microglia/macrophages activation that should be considered in personalized therapy for immune dysregulation.
A Case of Adult-onset MELAS as a Rapidly Progressive Dementia: Variant of Unknown Significance and the Importance of Neuropathologic Confirmation (P4-9.010)
Wiggins, Molly K., Jain, Nikita , Tate, Jessica, Kirby, Amelia, Dickson, Dennis W. , Bateman, James R.

Mayo Clinic

Neurology | April 9, 2024 | Volume: 102 | Issue: 7_supplement_1 | Pages: No page available

10.1212/wnl.0000000000206273 Get It

Relationships Between Regional Burden of Tau Neuropathology and Age at Death and Disease Duration in Patients with Progressive Supranuclear Palsy (S26.003)
Tosakulwong, Nirubol , Weigand, Stephen D. , Ali, Farwa , Stierwalt, Julie A. G., Savica, Rodolfo , Whitwell, Jennifer L. , Josephs, Keith A. , Badihian, Negin , Botha, Hugo , Clark, Heather M. , Dickson, Dennis W. , Whitwell, Jennifer L.

Mayo Clinic

Neurology | April 9, 2024 | Volume: 102 | Issue: 7_supplement_1 | Pages: No page available

10.1212/wnl.0000000000206268 Get It

Temporal Changes of Diagnostic Accuracy for Multiple System Atrophy: A 15-year Analysis from 2008 to 2022 (P2-3.003)
Nakamura, M. , Uitti, Ryan J. , Sekiya, Hiroaki , Tipton, Philip W. , Kawazoe, Miki , Koga, Shunsuke , Cheshire, William P. , Wszołek, Zbigniew K. , Dickson, Dennis W.

Mayo Clinic

Neurology | April 9, 2024 | Volume: 102 | Issue: 7_supplement_1 | Pages: No page available

10.1212/wnl.0000000000205343 Get It

Pick’s Disease Is a Rare but Recognizable Etiology Underlying Progressive Apraxia of Speech (P3-9.009)
Graff‐Radford, Jonathan , Whitwell, Jennifer L. , Josephs, Keith A. , Jones, Katherine, Utianski, Rene L. , Duffy, Joseph R. , Clark, Heather M. , Machulda, Mary M. , Dickson, Dennis W. , Whitwell, Jennifer L. , Botha, Hugo

Mayo Clinic

Neurology | April 9, 2024 | Volume: 102 | Issue: 7_supplement_1 | Pages: No page available

10.1212/wnl.0000000000205260 Get It