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125 citation(s) found for "WEINTRAUB, S".

The ARTFL LEFFTDS Frontotemporal Lobar Degeneration (ALLFTD) Protocol: Preliminary Data and Future Plans (2081)
Boxer, Adam L. , Rosen, Howard, Forsberg, Leah K. , Heuer, Hilary W. , Brushaber, Danielle , Bordelon, Yvette , Dickerson, Bradford, Dickinson, Susan, Faber, Kelley , Fagan, Anne M. , Fields, Julie A. , Fishman, Ann, Gavrilova, Ralitza H. , Gendron, Tania, Geschwind, Daniel H. , Ghoshal, Nupur , Graff‐Radford, Jonathan , Graff‐Radford, Neill R. , Grant, Ian , Huey, Edward D. , Karydas, Anna, Kaufer, Daniel , Kramer, Joel H. , Kornak, John , Lagone, Emma, Ljubenkov, Peter A. , Lucente, Diane , Mackenzie, Ian R. , Manoochehri, Masood , Masdeu, Joseph C. , McGinnis, Scott, Mendez, Mario F. , Miller, Bruce, Miyagawa, Toji , Nelson, K. , Onyike, Chiadi U. , Pearlman, Rodney , Petrucelli, Leonard , Rademakers, Rosa , Ramos, Eliana Marisa , Rankin, Katherine P. , Rascovsky, Katya, Ritter, Aaron, -Martinez, Julio Rojas, Sabbagh, Marwan N. , Salmon, David P. , Savica, Rodolfo , Staffaroni, Adam M. , Syrjanen, Jeremy A. , Tatton, Nadine , Taylor, Joanne, Toga, Arthur W. , Weıntraub, Sandra , Wheaton, Diana, Boeve, Bradley F. , Appleby, Brian S. , Biernacka, Joanna M. , Botha, Hugo , Brannelly, Patrick , Dickson, Dennis W. , Domoto‐Reilly, Kimiko , Foroud, Tatiana , Galasko, Douglas , Gendron, Tania F. , Goldman, Jill , Grossman, Murray , Hsiung, Ging‐Yuek Robin , Huang, Eric J. , Irwin, David J. , Jones, David T. , Kantarci, Kejal , Knopman, David S. , Kremers, Walter K. , Kukull, Walter A. , Litvan, Irene , Masdeu, Joseph C , Nelson, Kevin, Pantelyat, Alexander , Pascual, Belén , Rexach, Jessica E. , Roberson, Erik D. , Seeley, William W. , Tartaglia, Maria Carmela , Wong, Bonnie , Wszołek, Zbigniew K.

Mayo Clinic

Neurology | December 7, 2023 | Volume: 94 | Issue: 15_supplement | Pages: No page available

10.1212/wnl.94.15_supplement.2081 Get It

A New Framework for Dementia Nomenclature
Petersen, Ronald C. , Weıntraub, Sandra , Sabbagh, Marwan N. , Karlawish, Jason , Dilworth‐Anderson, Peggye, Frank, Lori , Hummel, Cynthia Huling, Taylor, Angela , Initiative, Dementia Nomenclature, Adler, Charles H. , Initiative, Dementia Nomenclature

Mayo Clinic

JAMA Neurology | October 16, 2023 | Volume: 80 | Issue: 12 | Pages: 1364

10.1001/jamaneurol.2023.3664 | PMID 37843871 Get It

ImportanceNomenclature in the field of neurodegenerative diseases presents a challenging problem. Inconsistent use of terms such as Alzheimer disease and dementia has compromised progress in clinical care, research, and development of therapeutics. Dementia-associated stigma further contributes to inconsistent and imprecise language. The result is a lack of clarity that produces confusion with patients and the general public and presents communication challenges among researchers. Therefore, the Advisory Council on Research, Care, and Services of the National Plan to Address Alzheimer’s Disease authorized a committee to make recommendations for improvement.ObjectiveTo establish a systematic neurodegenerative disease framework for information collection and communication to standardize language usage for research, clinical, and public health purposes.Evidence ReviewThe Dementia Nomenclature Initiative organized into 3 major stakeholder working groups: clinicians, researchers, and the public (including individuals living with dementia and family caregivers). To inform the work, the initiative completed a narrative literature review of dementia nomenclature evolution over the last century across the PubMed, CINAHL, PsycInfo, and Scopus databases (January 1, 2000, through July 31, 2020). Initiative working groups used the results as a foundation for understanding current challenges with dementia nomenclature and implications for research, clinical practice, and public understanding. The initiative obtained additional input via focus groups with individuals living with dementia and caregivers, with separate groups for race and ethnicity (American Indian or Alaska Native, Asian or Pacific Islander, Black or African American, Hispanic or Latino, and White) as an initial assessment of the meaning of dementia-related terms to these groups.FindingsFrom working group deliberations, the literature review, and focus group input, the initiative developed a framework clearly separating the clinical syndromic presentation experienced by affected individuals from possible underlying pathophysiologies. In the framework, domains of clinical impairment, such as cognitive, behavioral, motor, and other neurologic features, are graded by level of impairment between none and severe. Next, biomarker information describes underlying disease processes, explains the syndrome, and identifies possible disease labels: Alzheimer disease, frontotemporal degeneration, dementia with Lewy bodies, or vascular cognitive impairment dementia.Conclusions and RelevanceThe Dementia Nomenclature Initiative established a framework to guide communication about cognitive impairment among older adults. Wider testing and refinement of the framework will subsequently improve the information used in communicating about cognitive impairment and the way in which the information is used in clinical, research, and public settings.
Etiology of White Matter Hyperintensities in Autosomal Dominant and Sporadic Alzheimer Disease
Shirzadi, Zahra , Schultz, Stephanie A. , Yau, Wai‐Ying Wendy , Fitzpatrick, Colleen , Levin, Raina, Kantarci, Kejal , Preboske, Gregory M., Jack, Clifford R. , Farlow, Martin R. , Hassenstab, Jason , Morris, John C. , Xiong, Chengjie , Levey, Allan I. , Gordon, Brian A. , Salloway, Stephen , Perrin, Richard J. , Xiong, Chengjie , Fox, Nick C. , Goate, Alison , Day, Gregory S. , Chui, Helena C., Berman, Sarah , Mori, Hiroshi , Ruthirakuhan, Myuri , Wu, Che‐Yuan , Sohrabi, Hamid R. , Martins, Ralph N. , Johnson, Keith A. , Greenberg, Steven M. , Chhatwal, Jasmeer P. , Initiative, Dominantly Inherited Alzheimer Network and the Alzheimer’s Disease Neuroimaging, Weiner, Michael W. , Aisen, Paul, Petersen, Ronald , Jack, Clifford R., Jagust, William J. , Trojanowki, John Q., Morris, John C., Shaw, Leslie M. , Khachaturian, Zaven S., Carrillo, Maria, Potter, William Z., Bernard, Marie , Jackson, Jonathan , Masliah, Eliezer , Masterman, Donna, Okonkwo, Ozioma C. , Ryan, Laurie, Silverberg, Nina, Fleisher, Adam , Sacrey, Diana Truran, Fockler, Juliet , Conti, Cat, Jin, Chengshi , Nosheny, Rachel L. , Ashford, Miriam T. , Flenniken, Derek , Kormos, Adrienne, Montine, Tom, Raman, Rema , Jiménez, Gustavo , Gessert, Devon, Salazar, Jennifer, Zimmerman, Caileigh, Cabrera, Yuliana, Walter, Sarah , Miller, Garrett, Coker, Godfrey, Clanton, Taylor, Hergesheimer, Lindsey, Adegoke, Olusegun, Mahboubi, Payam, Moore, Shelley, Pizzola, Jeremy, Shaffer, Elizabeth , Sloan, Brittany, Forghanian-Arani, Arvin, Borowski, Bret, Ward, Chad, Gunter, Jeff, Jahanshad, Neda , DeCarli, Charles, Knaack, Alexander , Chen, Stephanie Rossi, Choe, Mark, Crawford, Karen , Reiman, Eric M. , Mathis, Chet, Landau, Susan, Cairns, Nigel J., Householder, Erin, Franklin, Erin , Bernhardt, Haley, Taylor‐Reinwald, Lisa, Korecka, Magdalena , Figurski, Michael, Neu, Scott, Apostolova, Liana G. , Foroud, Tatiana M., Faber, Kelley, Wilmes, Kristi, Thal, Leon J., Lind, Betty, Crissey, Rachel, Carter, Raina, Dolen, Sara, Schneider, Lon S. , Pawluczyk, Sonia, Becerra, Mauricio, Teodoro, Liberty, Dagerman, Karen, Spann, Bryan M., Brewer, James B., Vanderswag, Helen, Ziolkowski, Jaimie, Heidebrink, Judith L. , Zbizek-Nulph, Lisa, Mason, Sara S., Albers, Colleen S., Johnson, Kris , Villaneuva-Meyer, Javier, Pavlik, Valory , Pacini, Nathaniel, Lamb, Ashley, Kass, Joseph S. , Doody, Rachelle S., Shibley, Victoria, Chowdhury, Munir , Rountree, Susan, Dang, Mimi, Mintz, Akiva , Winkfield, David, Carroll, Maria , Stobbs-Cucchi, Georgia , Oliver, Angela , Creech, Mary L., Mintun, Mark A., Schneider, Stacy, Geldmacher, David , Love, Marissa Natelson , Griffith, Randall, Clark, David, Brockington, John, Marson, Daniel , Grossman, Hillel, Goldstein, Martin , Mitsis, Effie, Samuels, Patricia, Duara, Ranjan , Greig‐Custo, Maria T., Rodriguez, Rosemarie, Albert, Marilyn, Onyike, Chiadi, Farrington, Leonie, Rudow, Scott, Brichko, Rottislav, Kielb, Stephanie , Smith, Amanda , Raj, Balebail Ashok, Fargher, Kristin, Shulman, Melanie , Faustin, Arline , Rao, Julia, Castro, Karen M. , Ulysse, Anaztasia, Chen, Shannon, Sheikh, Mohammed O., Singleton-Garvin, Jamika, Doraiswamy, P. Murali , Petrella, Jeffrey R. , James, Olga, Borges‐Neto, Salvador , Karlawish, Jason , Vaishnavi, Sanjeev , Clark, Christopher M. , Arnold, Steven E. , Smith, Charles D. , Khouli, Riham El , Raslau, Flavius D., Oakley, MaryAnn, Simpson, Donna M., Martin, Kim, Kowalski, Nancy, Keltz, Melanie, Goldstein, Bonnie S., Makino, Kelly M., Ismail, M. Saleem , Brand, Connie, Thai, Gaby , Pierce, Aimee, Witbracht, Megan , Mathews, Dana, Quiceno, Mary , Hajjar, Ihab , Cellar, Janet S., Swerdlow, Russell H. , Kremen, Sarah , Tingus, Kathleen, Lu, Po H. , Bartzokis, George, Woo, Ellen, Graff‐Radford, Neill R. , Parfitt, Francine, Poki-Walker, Kim, Hake, Ann Marie , Matthews, Brandy R., Herring, Scott, Dyck, Christopher H. van , Mecca, Adam P. , Good, Susan P., MacAvoy, Martha G., Carson, Richard E. , Varma, Pradeep, Chertkow, Howard , Vaitekunis, Susan, Hosein, Chris, Mudge, Benita, Assaly, Michele, Rachinsky, Irina, Kertesz, Andrew, Drost, Dick, Rogers, John, Grant, Ian , Muse, Brittanie, Rogalskı, Emily , Robson, Jordan, Mesulam, M.‐Marsel, Kerwin, Diana , Wu, Chuang‐Kuo, Johnson, Nancy E., Lipowski, Kristine, Weıntraub, Sandra , Bonakdarpour, Borna , Hernando, Raymundo, Sarrael, Antero, Rosen, Howard J., Johnson, Kathleen, Reynolds, Brigid, Poe, Jessica, Sperling, Reisa A., Marshall, Gad A. , Yesavage, Jerome A. , Taylor, Joy L. , Chao, Steven, Coleman, Jaila, White, Jessica D. , Lane, Barton , Rosen, Allyson , Tinklenberg, Jared, Belden, Christine M. , Clark, Kelly, Zamrini, Edward , Sabbagh, Marwan, Kowall, Neil W. , Budson, Andrew E. , Ntekim, Oyonumo, Wolday, Saba, Khan, Javed , Nwulia, Evaristus , Nadarajah, Sheeba , Lerner, Alan J. , Ogrocki, Paula, Tatsuoka, Curtis , Fatica, Parianne, Olichney, John , Bates, Vernice, Capote, Horacio, Rainka, Michelle, Borrie, Michael, Lee, T‐Y, Asthana, Sanjay , Carlsson, Cynthia M., Perrin, Allison, Burke, Anna , Kataki, Maria , Hart, David , Zimmerman, Earl A. , Celmins, Dzintra, Smith, Karen Ekstam, Shim, Hyungsub , Nam, Ki Won , Schtulz, Susan K., Williamson, Jeff D. , Craft, Suzanne , Cleveland, Jo, Ott, Brian R. , Drake, Jonathan, Tremont, Geoffrey , Daiello, Lori A. , Ritter, Aaron, Bernick, Charles , Munic, Donna, O’Connell, Abigail, Mintzer, Jacobo , Wiliams, Arthur, Masdeu, Joseph C. , Shi, Jiong , Garcia, Angelica, Newhouse, Paul , Salloway, Steven, Malloy, Paul, Correia, Stephen , Kittur, Smita, Blank, Karen, Anderson, Karen, Flashman, Laura A. , Seltzer, Marc, Hynes, Mary L. , Santulli, Robert B. , Relkin, Norman , Chiang, Gloria, Lee, Athena, Lin, Michael, Ravdin, Lisa , Sood, Ajay, Blanchard, Kimberly S., Fleischman, Debra , Varon, Daniel, Greig, Maria T., Martin, Kimberly S., Reist, Christopher , Sadowsky, Carl, Villena, Teresa, Rosen, Howard, Peskind, Elaine R. , Li, Gail, Vöglein, Jonathan , Méndez, Patricio Chrem, Ikonomović, Snežana, Nadkarni, Neelesh K. , Ramírez, Laura, Leon, Yudy Milena, Ramos, Cláudia , Alzate, Diana, Baena, Ana , Londono, Natalia, Laske, Christoph , Kuder-Buletta, Elke, Gräber‐Sultan, Susanne, Preische, Oliver, Hofmann, Anna, Ishii, Kenji , Senda, Michio , Riddle, Meghan C., Menard, William, Bodge, Courtney, Surti, Mustafa, Sanchez-Gonzalez, VJ, Orozco-Barajas, Maribel, Esposito, Bianca, Fernanadez, Victoria, Jerome, Gina, Herries, Elizabeth, Seyfried, Nicholas T. , Bechara, Jacob , Chen, Allison , Hantler, Nancy, Hornbeck, Russ C. , Jarman, Steve, Keefe, Sarah , Koudelis, Deborah, Massoumzadeh, Parinaz , Nicklaus, Joyce , Pulizos, Christine, Mishall, Sheetal, Sabaredzovic, Edita, Deng, Emily , Candela, Madison, Smith, Hunter , Scott, Jalen , Gremminger, Emily, Ma, Yinjiao , Bui, Ryan , Lu, Ruijin , Daniels, Alisha , Courtney, Laura, Supnet, Charlene , Xu, Jinbin , Ringman, John M. , Barthélemy, Nicolas R. , Jack, Clifford R , Gordon, Brian A , Kantarci, Kejal , Day, Gregory S , Vöglein, Jonathan , Xiong, Chengjie , Fox, Nick C , Hassenstab, Jason , Morris, John C , Goate, Alison M , Supnet-Bell, Charlene , Berman, Sarah , Levey, Allan I , Kremen, Sarah , Joseph‐Mathurin, Nelly , Jucker, Mathias , Xiong, Chengjie , Karch, Celeste M. , Schofield, Peter R. , McDade, Eric , Cruchaga, Carlos , Allegri, Ricardo , Koeppe, Robert A. , Chui, Helena C. , Sánchez‐Valle, Raquel , Lee, Jae‐Hong , Rosa-Neto, Pedro , Swardfager, Walter , Benzinger, Tammie L.S. , Bateman, Randall J. , Sperling, Reisa Anne , Schultz, Aaron P. , Initiative, Dominantly Inherited Alzheimer Network and the Alzheimer’s Disease Neuroimaging, Jack, Clifford R., Toga, Arthur W. , Beckett, Laurel , Green, Robert C. , Saykin, Andrew J. , Morris, John C., Barnes, Lisa L. , González, Hector, Ho, Carole , Hsiao, John , Veitch, Dallas P. , Neuhaus, John M , Rafii, Michael S. , Donohue, Michael , Smith, Stephanie R. , Harvey, Danielle , Arani, Arvin , Schwarz, Christopher G. , Jones, David T. , Senjem, Matthew L. , Vemuri, Prashanthi , Reid, Robert I. , Malone, Ian B. , Thompson, Paul M. , Thomopoulos, Sophia I. , Nir, Talia M. , Fletcher, Evan M. , Tosun, Duygu , Yushkevich, Paul A. , Das, Sandhitsu R. , Chen, Kewei , Mathis, Chet, Nho, Kwangsik T. , Risacher, Shannon L. , Shen, Li , Nudelman, Kelly , Silbert, Lisa C. , Kaye, Jeffrey , Carter, Raina, Quinn, Joseph F. , Lord, Joanne L. , Knopman, David S. , Stern, Yaakov , Honig, Lawrence S. , Ances, Beau M. , Goldstein, Martin A., Greenberg, Jonathan, Shah, Raj C. , Lamar, Melissa , Duara, Ranjan , Sadowski, Martin , Wısnıewskı, Thomas , Wong, Terence Z. , Wolk, David A. , Jicha, Gregory A. , López, Oscar L. , Porsteinsson, Anton P. , Yanez, Beatriz, Sosa, Elizabeth M. , Kelley, Brendan , Nguyen, Trung Dung , Womack, Kyle , Lah, James J. , Burns, Jeffrey M. , Brooks, William Miles , Silverman, Daniel H.S. , Teng, Edmond , Brosch, Jared R. , Black, Sandra E. , Stefanovic, Bojana , Heyn, Chris , Hsiung, Ging‐Yuek Robin , Kim, Ellen , Sossi, Vesna , Feldman, Howard , Finger, Elizabeth C. , Pasternak, Stephen , Miller, Bruce L. , Perry, David C. , Turner, Raymond Scott , MCCann, Kelly, Sperling, Reisa A., Atri, Alireza , Killiany, Ronald , Stern, Robert A. , Mez, Jesse , Obisesan, Thomas O. , Maillard, Pauline , Carmichael, Owen , Bartha, Robert , Johnson, Sterling C. , Carlsson, Cynthia M. , Scharre, Douglas W. , Tarawneh, Rawan M. , Miller, Del D. , Ponto, Laura L. Boles , Koleva, Hristina , Yang, Mia , Sink, Kaycee M. , Masdeu, Joseph C , Potkin, Steven G. , Salloway, Steve , Pearlson, Godfrey D. , Sood, Ajay, Arfanakis, Konstantinos , Varón, Daniel , Martínez, Walter Fabián , Petrie, Eric C. , Noble, James M. , Surace, Ezequiel , Lopera, Francisco Javier , Aguillon, David , Londono, Natalia, Moreno, Sonia, Ikeuchi, Takeshi , Kasuga, Kensaku , Niimi, Yoshiki , Cash, David M. , Roh, Jee Hoon , Takada, Leonel Tadao , Renton, Alan , Marsh, Jacob A. , Llibre‐Guerra, Jorge J. , Johnson, Erik C. B. , Brooks, William S. , Chen, Charles , Flores, Shaney , McCullough, Austin , McKay, Nicole S. , Wáng, Qīng , Candela, Madison, Hobbs, Diana A. , Wang, Peter , Xu, Xiong, Li, Yan , Sosa, Ana Luisa , Smith, Jennifer A.

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JAMA Neurology | October 16, 2023 | Volume: 80 | Issue: 12 | Pages: 1353

10.1001/jamaneurol.2023.3618 | PMID 37843849 Get It

ImportanceIncreased white matter hyperintensity (WMH) volume is a common magnetic resonance imaging (MRI) finding in both autosomal dominant Alzheimer disease (ADAD) and late-onset Alzheimer disease (LOAD), but it remains unclear whether increased WMH along the AD continuum is reflective of AD-intrinsic processes or secondary to elevated systemic vascular risk factors.ObjectiveTo estimate the associations of neurodegeneration and parenchymal and vessel amyloidosis with WMH accumulation and investigate whether systemic vascular risk is associated with WMH beyond these AD-intrinsic processes.Design, Setting, and ParticipantsThis cohort study used data from 3 longitudinal cohort studies conducted in tertiary and community-based medical centers—the Dominantly Inherited Alzheimer Network (DIAN; February 2010 to March 2020), the Alzheimer’s Disease Neuroimaging Initiative (ADNI; July 2007 to September 2021), and the Harvard Aging Brain Study (HABS; September 2010 to December 2019).Main Outcome and MeasuresThe main outcomes were the independent associations of neurodegeneration (decreases in gray matter volume), parenchymal amyloidosis (assessed by amyloid positron emission tomography), and vessel amyloidosis (evidenced by cerebral microbleeds [CMBs]) with cross-sectional and longitudinal WMH.ResultsData from 3960 MRI sessions among 1141 participants were included: 252 pathogenic variant carriers from DIAN (mean [SD] age, 38.4 [11.2] years; 137 [54%] female), 571 older adults from ADNI (mean [SD] age, 72.8 [7.3] years; 274 [48%] female), and 318 older adults from HABS (mean [SD] age, 72.4 [7.6] years; 194 [61%] female). Longitudinal increases in WMH volume were greater in individuals with CMBs compared with those without (DIAN: t = 3.2 [P = .001]; ADNI: t = 2.7 [P = .008]), associated with longitudinal decreases in gray matter volume (DIAN: t = −3.1 [P = .002]; ADNI: t = −5.6 [P < .001]; HABS: t = −2.2 [P = .03]), greater in older individuals (DIAN: t = 6.8 [P < .001]; ADNI: t = 9.1 [P < .001]; HABS: t = 5.4 [P < .001]), and not associated with systemic vascular risk (DIAN: t = 0.7 [P = .40]; ADNI: t = 0.6 [P = .50]; HABS: t = 1.8 [P = .06]) in individuals with ADAD and LOAD after accounting for age, gray matter volume, CMB presence, and amyloid burden. In older adults without CMBs at baseline, greater WMH volume was associated with CMB development during longitudinal follow-up (Cox proportional hazards regression model hazard ratio, 2.63; 95% CI, 1.72-4.03; P < .001).Conclusions and RelevanceThe findings suggest that increased WMH volume in AD is associated with neurodegeneration and parenchymal and vessel amyloidosis but not with elevated systemic vascular risk. Additionally, increased WMH volume may represent an early sign of vessel amyloidosis preceding the emergence of CMBs.
Network Connectivity Alterations across the MAPT Mutation Clinical Spectrum
Zhang, Liwen , Flagan, Taru , Häkkinen, Suvi , Chu, Stephanie A. , Brown, Jesse A. , Lee, Alex J. , Mandelli, Maria Luisa , Gorno‐Tempini, Maria Luisa , Sturm, Virginia E. , Yokoyama, Jennifer S. , Domoto‐Reilly, Kimiko , Geschwind, Daniel H. , Ghoshal, Nupur , Graff‐Radford, Neill R. , Huey, Edward D. , Kantarci, Kejal , Lago, Argentina Lario , Mackenzie, Ian R. , Mendez, Mario F. , Onyike, Chiadi U. , Ramos, Eliana Marisa , Roberson, Erik D. , Weıntraub, Sandra , Forsberg, Leah K. , Heuer, Hilary W. , Boxer, Adam L. , Rosen, Howard J. , Lee, Suzee E. , Consortia, the ARTFL/LEFFTDS/ALLFTD, Kantarci, Kejal , Tartaglia, Maria Carmela , Lee, Suzee E , Roberson, Erik , Yokoyama, Jennifer , Domoto-Reilly, Kimiko , Pasquini, Lorenzo , Appleby, Brian S. , Cobigo, Yann , Dickerson, Bradford Clark , Grossman, Murray , Hsiung, Ging‐Yuek Robin , Litvan, Irene , Toga, Arthur W. , Wszołek, Zbigniew K. , Boeve, Bradley F. , Miller, Bruce L. , Seeley, William W. , Consortia, the ARTFL/LEFFTDS/ALLFTD

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Annals of Neurology | July 11, 2023 | Volume: 94 | Issue: 4 | Pages: 632-646

10.1002/ana.26738 | PMID 37431188 Get It

ObjectiveMicrotubule‐associated protein tau (MAPT) mutations cause frontotemporal lobar degeneration, and novel biomarkers are urgently needed for early disease detection. We used task‐free functional magnetic resonance imaging (fMRI) mapping, a promising biomarker, to analyze network connectivity in symptomatic and presymptomatic MAPT mutation carriers.MethodsWe compared cross‐sectional fMRI data between 17 symptomatic and 39 presymptomatic carriers and 81 controls with (1) seed‐based analyses to examine connectivity within networks associated with the 4 most common MAPT‐associated clinical syndromes (ie, salience, corticobasal syndrome, progressive supranuclear palsy syndrome, and default mode networks) and (2) whole‐brain connectivity analyses. We applied K‐means clustering to explore connectivity heterogeneity in presymptomatic carriers at baseline. Neuropsychological measures, plasma neurofilament light chain, and gray matter volume were compared at baseline and longitudinally between the presymptomatic subgroups defined by their baseline whole‐brain connectivity profiles.ResultsSymptomatic and presymptomatic carriers had connectivity disruptions within MAPT‐syndromic networks. Compared to controls, presymptomatic carriers showed regions of connectivity alterations with age. Two presymptomatic subgroups were identified by clustering analysis, exhibiting predominantly either whole‐brain hypoconnectivity or hyperconnectivity at baseline. At baseline, these two presymptomatic subgroups did not differ in neuropsychological measures, although the hypoconnectivity subgroup had greater plasma neurofilament light chain levels than controls. Longitudinally, both subgroups showed visual memory decline (vs controls), yet the subgroup with baseline hypoconnectivity also had worsening verbal memory and neuropsychiatric symptoms, and extensive bilateral mesial temporal gray matter decline.InterpretationNetwork connectivity alterations arise as early as the presymptomatic phase. Future studies will determine whether presymptomatic carriers' baseline connectivity profiles predict symptomatic conversion. ANN NEUROL 2023;94:632–646
Learning slopes in early‐onset Alzheimer's disease
Hammers, Dustin B. , Nemes, Sára , Diedrich, Taylor , Eloyan, Ani , Kirby, Kala, Aisen, Paul , Kramer, Joel H. , Foroud, Tatiana M., Rumbaugh, Malia, Day, Gregory S. , Duara, Ranjan , Graff‐Radford, Neill R. , Masdeu, Joseph C. , Mendez, Mario F. , Onyike, Chiadi U. , Riddle, Meghan , Rogalskı, Emily , Salloway, Steve , Sha, Sharon J. , Turner, Raymond Scott , Weıntraub, Sandra , Wingo, Thomas S. , Wong, Bonnie , Carrillo, María C. , Rabinovici, Gil D. , Apostolova, Liana G. , Day, Gregory S , Rabinovici, Gil D , Wingo, Thomas S , Hammers, Dustin B , Kirby, Kala, Nudelman, Kelly , Atri, Alireza , Duara, Ranjan , Honig, Lawrence S. , Jones, David T. , Masdeu, Joseph C , Musiek, Erik , Wolk, David A. , Dickerson, Bradford Clark

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Alzheimer's & Dementia | May 27, 2023 | Volume: 19 | Issue: S9 | Pages: No page available

10.1002/alz.13159 | PMID 37243937 Get It

AbstractOBJECTIVEInvestigation of learning slopes in early‐onset dementias has been limited. The current study aimed to highlight the sensitivity of learning slopes to discriminate disease severity in cognitively normal participants and those diagnosed with early‐onset dementia with and without β‐amyloid positivityMETHODData from 310 participants in the Longitudinal Early‐Onset Alzheimer's Disease Study (aged 41 to 65) were used to calculate learning slope metrics. Learning slopes among diagnostic groups were compared, and the relationships of slopes with standard memory measures were determinedRESULTSWorse learning slopes were associated with more severe disease states, even after controlling for demographics, total learning, and cognitive severity. A particular metric—the learning ratio (LR)—outperformed other learning slope calculations across analysesCONCLUSIONSLearning slopes appear to be sensitive to early‐onset dementias, even when controlling for the effect of total learning and cognitive severity. The LR may be the learning measure of choice for such analyses.Highlights Learning is impaired in amyloid‐positive EOAD, beyond cognitive severity scores alone. Amyloid‐positive EOAD participants perform worse on learning slopes than amyloid‐negative participants. Learning ratio appears to be the learning metric of choice for EOAD participants.
Multisite ALLFTD study modeling progressive empathy loss from the earliest stages of behavioral variant frontotemporal dementia
Toller, Gianina , Callahan, Patrick , Brushaber, Danielle , Domoto‐Reilly, Kimiko , Forsberg, Leah K. , Ghoshal, Nupur , Graff‐Radford, Jonathan, Graff-Radford, N. R., Heuer, Hilary W. , Kornak, John , Kremers, Walter K. , Mackenzie, Ian R. , Pascual, María Belén, Ramos, Eliana Marisa , Rascovsky, Katya, Staffaroni, Adam M. , Tartaglia, Maria Carmela , Weıntraub, Sandra , Boxer, Adam L. , Rosen, Howard J. , Rankin, Katherine P. , Graff-Radford, Neil R, Boeve, Brad F, Tartaglia, Maria Carmela , Kremers, Walter K , Domoto-Reilly, Kimiko , Cobigo, Yann , Appleby, Brian S. , Graff‐Radford, Jonathan , Grossman, Murray , Lapid, Maria I. , Léger, Gabriel C. , Litvan, Irene , Rojas, Julio C. , Toga, Arthur W. , Wszołek, Zbigniew K. , Boeve, Bradley F.

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Alzheimer's & Dementia | January 2, 2023 | Volume: 19 | Issue: 7 | Pages: 2842-2852

10.1002/alz.12898 | PMID 36591730 Get It

AbstractIntroductionEmpathy relies on fronto‐cingular and temporal networks that are selectively vulnerable in behavioral variant frontotemporal dementia (bvFTD). This study modeled when in the disease process empathy changes begin, and how they progress.MethodsFour hundred thirty‐one individuals with asymptomatic genetic FTD (n = 114), genetic and sporadic bvFTD (n = 317), and 163 asymptomatic non‐carrier controls were enrolled. In sub‐samples, we investigated empathy measured by the informant‐based Interpersonal Reactivity Index (IRI) at each disease stage and over time (n = 91), and its correspondence to underlying atrophy (n = 51).ResultsEmpathic concern (estimate = 4.38, 95% confidence interval [CI] = 2.79, 5.97; p < 0.001) and perspective taking (estimate = 5.64, 95% CI = 3.81, 7.48; p < 0.001) scores declined between the asymptomatic and very mild symptomatic stages regardless of pathogenic variant status. More rapid loss of empathy corresponded with subcortical atrophy.DiscussionLoss of empathy is an early and progressive symptom of bvFTD that is measurable by IRI informant ratings and can be used to monitor behavior in neuropsychiatry practice and treatment trials.
Clinical features in prodromal disease: Comparing dementia with Lewy bodies with Alzheimer’s disease
Wyman‐Chick, Kathryn A , Weintraub, Daniel, Armstrong, Melissa J. , O'Keefe, Lauren R , Rosenbloom, Michael , Armstrong, Melissa J , Boeve, Bradley F. , Weintraub, Daniel , Barrett, Matthew J.

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Alzheimer's & Dementia | December 20, 2022 | Volume: 18 | Issue: S7 | Pages: No page available

10.1002/alz.065777 Get It

AbstractBackgroundDementia with Lewy bodies (DLB) is a common neurodegenerative disorder; however, DLB can be difficult to differentiate from Alzheimer’s disease dementia (AD), particularly in the early stages. Research criteria for prodromal DLB were published in 2020 and further studies are needed to validate and refine future clinical criteria.MethodWe analyzed data from the Uniform Data Set from the National Alzheimer’s Coordinating Center (NACC database is funded by NIA/NIH U01‐AG016976). Annual visits occurred across 39 Alzheimer’s Disease Research Centers between September 2005 and September 2021. We identified non‐demented participants [i.e., normal cognition, impaired‐not mild cognitive impairment (MCI) or MCI] at baseline who subsequently received a clinical diagnosis of DLB or AD. Core clinical features (CCF) for DLB (i.e., motor features, visual hallucinations, probable REM sleep behavior disorder (pRBD), cognitive fluctuations), and supportive neuropsychiatric features (NPF; anxiety, apathy, and depression) were assessed through clinical exam and informant responses up to five years prior to dementia diagnosis.ResultThe sample consisted of 160 participants with DLB and 480 age/sex‐matched (1:3) participants with AD at first visit with dementia diagnosis. There was no significant difference in the number of visits prior to dementia diagnosis. The AD group was more racially and ethnically diverse than the DLB group. At the time of diagnosis, DLB participants demonstrated greater functional impairment. Descriptive results indicate CCF and NPF are common in DLB up to five years prior to conversion to dementia; however, motor slowing and NPF were reported in over 20% of the AD participants within the prodromal phase. The presence of 2 or more CCF yielded the greatest AUC (0.786; 95% CI: 0.743, 0.830) in distinguishing DLB from AD one year prior to dementia diagnosis. Combinations of 1 or more CCF with 1, 2, or 3 NPF resulted in significantly lower AUCs (0.725, 0.651, 0.547, respectively) due to decreased specificity.ConclusionCCF and supportive NPF are common in the prodromal phase of DLB; however, parkinsonism and NPF also occurred in the prodromal AD group. Parkinsonism may provide lower discrimination than cognitive fluctuations, visual hallucinations, or pRBD in differentiating DLB from AD in the prodromal phase.
Association of Physical Activity With Neurofilament Light Chain Trajectories in Autosomal Dominant Frontotemporal Lobar Degeneration Variant Carriers
Casaletto, Kaitlin B. , Kornack, John, VandeBunte, Anna M. , Staffaroni, Adam S., Lee, Shannon, Heuer, Hilary W. , Forsberg, Leah K. , Ramos, Eliana Marisa , Kramer, Joel H. , Yaffe, Kristine , Petrucelli, Leonard , Boxer, Adam L. , Rosen, Howard J. , Apostolova, Liana G. , Barmada, Sami J. , Bordelon, Yvette , Brushaber, Danielle , Coppola, Giovanni, Darby, Ryan, Domoto-Reilly, Kimiko, Faber, Kelley, Fagan, Anne M. , Fields, Julie A. , Geschwind, Daniel H. , Ghoshal, Nupur , Gavrilova, Ralitza, Graff-Radford, Jonathon, Graff‐Radford, Neill R. , Grant, Ian , Grossman, Murray, Hall, Matthew , Huey, Edward D. , Kauer, Daniel, Kornak, John , Lago, Argentina Lario , Lee, Suzee, Ljubenkov, Peter A. , Lucente, Diana E., Mackenzie, Ian R. , Masdeux, Joseph C., McGinnis, Scott, Mendez, Mario F. , Mester, Carly , Onyike, Chiadi U. , Pascual, María Belén, Rademakers, Rosa , Rao, Meghana , Rascovsky, Katya, Rankin, Katherine P. , Ritter, Aaron, Savica, Rodolfo , Syrjanen, Jeremy A. , Staffaroni, Adam M. , Taylor, Jack C. , Weıntraub, Sandra , Damme, Philip Van , Van Damme, Philip , Barmada, Sami , Paolillo, Emily W. , Rojas, Julio C. , Miller, Bruce L. , Boeve, Bradley F. , Gendron, Tania F. , Appleby, Brian S. , Botha, Hugo , Bozoki, Andrea C , Clark, David , Coppola, Giovanni, Dickerson, Bradford Clark , Dickson, Dennis W. , Domoto‐Reilly, Kimiko , Foroud, Tatiana , Goldman, Jill , Galasko, Douglas , Huang, Eric J. , Hsiung, Ging‐Yuek Robin , Irwin, David J. , Kantarci, Kejal , Kerwin, Diana , Knopman, David S. , Kremers, Walter K. , Lapid, Maria I. , Léger, Gabriel C. , Litvan, Irene , Pressman, Peter, Ramanan, Vijay K. , Seeley, William W. , Tartaglia, Maria Carmela , VandeVrede, Lawren , Wong, Bonnie

Mayo Clinic

JAMA Neurology | November 14, 2022 | Volume: 80 | Issue: 1 | Pages: 82

10.1001/jamaneurol.2022.4178 | PMID 36374516 Get It

ImportancePhysical activity is associated with cognitive health, even in autosomal dominant forms of dementia. Higher physical activity is associated with slowed cognitive and functional declines over time in adults carrying autosomal dominant variants for frontotemporal lobar degeneration (FTLD), but whether axonal degeneration is a potential neuroprotective target of physical activity in individuals with FTLD is unknown.ObjectiveTo examine the association between physical activity and longitudinal neurofilament light chain (NfL) trajectories in individuals with autosomal dominant forms of FTLD.Design, Setting, and ParticipantsThis cohort study included individuals from the ALLFTD Consortium, which recruited patients from sites in the US and Canada. Symptomatic and asymptomatic adults with pathogenic variants in one of 3 common genes associated with FTLD (GRN, C9orf72, or MAPT) who reported baseline physical activity levels and completed annual blood draws were assessed annually for up to 4 years. Genotype, clinical measures, and blood draws were collected between December 2014 and June 2019; data were analyzed from August 2021 to January 2022. Associations between reported baseline physical activity and longitudinal plasma NfL changes were assessed using generalized linear mixed-effects models adjusting for baseline age, sex, education, functional severity, and motor symptoms.ExposuresBaseline physical activity levels reported via the Physical Activity Scale for the Elderly. To estimate effect sizes, marginal means were calculated at 3 levels of physical activity: 1 SD above the mean represented high physical activity, 0 SD represented average physical activity, and 1 SD below the mean represented low physical activity.Main Outcomes and MeasuresAnnual plasma NfL concentrations were measured with single-molecule array technology.ResultsOf 160 included FTLD variant carriers, 84 (52.5%) were female, and the mean (SD) age was 50.7 (14.7) years. A total of 51 (31.8%) were symptomatic, and 77 carried the C9orf72 variant; 39, GRN variant; and 44, MAPT variant. Higher baseline physical activity was associated with slower NfL trajectories over time. On average, NfL increased 45.8% (95% CI, 22.5 to 73.7) over 4 years in variant carriers. Variant carriers with high physical activity demonstrated 14.0% (95% CI, −22.7 to −4.3) slower NfL increases compared with those with average physical activity and 30% (95% CI, −52.2 to −8.8) slower NfL increases compared with those with low physical activity. Within genotype, C9orf72 and MAPT carriers with high physical activity evidenced 18% to 21% (95% CI, −43.4 to −7.2) attenuation in NfL, while the association between physical activity and NfL trajectory was not statistically significant in GRN carriers. Activities associated with higher cardiorespiratory and cognitive demands (sports, housework, and yardwork) were most strongly correlated with slower NfL trajectories (vs walking and strength training).Conclusions and RelevanceIn this study, higher reported physical activity was associated with slower progression of an axonal degeneration marker in individuals with autosomal dominant FTLD. Physical activity may serve as a primary prevention target in FTLD.
Differential Vulnerability of Hippocampal Subfields in Primary Age-Related Tauopathy and Chronic Traumatic Encephalopathy
Farrell, Kurt , Iida, Megan A., Cherry, Jonathan D. , Casella, Alicia, Stein, Thor D. , Bieniek, Kevin F. , Richardson, Timothy E. , Alvarez, Victor E., Huber, Bertrand R. , Insausti, Ricardo , Group, The Part Working, Vonsattel, Jean‐Paul, Teich, Andy F, Gearing, Marla , Glass, Jonathan D. , Troncoso, Juan C. , Frosch, Matthew P. , Attems, Johannes , Mesulam, M-Marsel, Weıntraub, Sandra , Woltjer, Randy, Pham, Thao, Kofler, Julia , Yu, Lei , Purohit, Dushyant P. , Haroutunian, Vahram , Sano, Mary , Beach, Thomas G. , Kawas, Claudia H. , Metcalf, Jeff , Shuldberg, Sara, Salehi, Bahar , Nelson, Peter T. , Trojanowski, John Q. , Latimer, Caitlin S. , Montine, Thomas J. , Kovács, Gábor G. , Lutz, Mirjam I. , Perrin, Richard J. , Cairns, Nigel J. , McKee, Ann C. , Crary, John F. , Kovacs, Gabor G , Farrell, Kurt , Walker, Jamie M. , White, Charles L. , Dickson, Dennis W. , Dams-O’Connor, Kristen , Group, The Part Working, Teich, Andy F, Hyman, Bradley T. , Murray, Melissa E. , Flanagan, Margaret E. , Mao, Qinwen , Schneider, Julie A. , Yu, Lei , Hof, Patrick R. , Gandy, Sam , Poon, Wayne W. , Corrada, María M. , Rissman, Robert A. , Lee, Edward B. , Wolk, David A. , McMillan, Corey T. , Keene, C. Dirk , Fischer, Peter A.

Mayo Clinic

Journal of Neuropathology & Experimental Neurology | August 25, 2022 | Volume: 81 | Issue: 10 | Pages: 781-789

10.1093/jnen/nlac066 | PMID 36004533 Get It

Abstract Chronic traumatic encephalopathy (CTE) is a tauopathy associated with repetitive mild head impacts characterized by perivascular hyperphosphorylated tau (p-tau) in neurofibrillary tangles (NFTs) and neurites in the depths of the neocortical sulci. In moderate to advanced CTE, NFTs accumulate in the hippocampus, potentially overlapping neuroanatomically with primary age-related tauopathy (PART), an age-related tauopathy characterized by Alzheimer disease-like tau pathology in the hippocampus devoid of amyloid plaques. We measured p-tau burden using positive-pixel counts on immunohistochemically stained and neuroanatomically segmented hippocampal tissue. Subjects with CTE had a higher total p-tau burden than PART subjects in all sectors (p = 0.005). Within groups, PART had significantly higher total p-tau burden in CA1/subiculum compared to CA3 (p = 0.02) and CA4 (p = 0.01) and total p-tau burden in CA2 trended higher than CA4 (p = 0.06). In CTE, total p-tau burden in CA1/subiculum was significantly higher than in the dentate gyrus; and CA2 also trended higher than dentate gyrus (p = 0.01, p = 0.06). When controlling for p-tau burden across the entire hippocampus, CA3 and CA4 had significantly higher p-tau burden in CTE than PART (p &lt; 0.0001). These data demonstrate differences in hippocampal p-tau burden and regional distribution in CTE compared to PART that might be helpful in differential diagnosis and reveal insights into disease pathogenesis.