3,627 results on '"Rowe, James"'
Search Results
2. Drawing from name in semantic dementia reveals graded object knowledge representations in anterior temporal lobe
- Author
-
Anand, Tanmay, Patterson, Karalyn, Rowe, James B, and Cope, Thomas E
- Published
- 2024
- Full Text
- View/download PDF
3. Noncommutative tensor triangular geometry: classification via noetherian spectra
- Author
-
Rowe, James
- Subjects
Mathematics - Category Theory ,Mathematics - Algebraic Geometry ,18G80 (Primary) 18M05 (Secondary) - Abstract
Given a monoidal triangulated category $T$ with noetherian spectrum, we show that there is an order preserving bijection between the collection of all Thomason subsets of the non-commutative spectrum $\mathrm{Spc}(T)$ and the collection of all thick two-sided semiprime ideals of $T$. This provides an alternative to the hypotheses of Nakano, Vashaw and Yakimov, as well as the recent approach via completely prime ideals of Mallick and Ray. By assuming the spectrum is noetherian, we show that it is indeed a spectral space, and that it is universal among all such spaces classifying the ideals in question., Comment: 15 pages
- Published
- 2023
4. Perspective chapter: A Difficult Peace
- Author
-
Rowe, James, primary
- Published
- 2024
- Full Text
- View/download PDF
5. Network connectivity and structural correlates of survival in progressive supranuclear palsy and corticobasal syndrome.
- Author
-
Whiteside, David, Street, Duncan, Murley, Alexander, Jones, P, Malpetti, Maura, Ghosh, Boyd, Coyle-Gilchrist, Ian, Gerhard, Alexander, Hu, Michele, Klein, Johannes, Leigh, P, Church, Alistair, Burn, David, Morris, Huw, Rowe, James, and Rittman, Timothy
- Subjects
connectivity ,corticobasal syndrome ,fMRI ,prediction ,progressive supranuclear palsy ,survival ,tauopathies ,Humans ,Supranuclear Palsy ,Progressive ,Corticobasal Degeneration ,Prognosis ,Neurodegenerative Diseases - Abstract
There is a pressing need to understand the factors that predict prognosis in progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS), with high heterogeneity over the poor average survival. We test the hypothesis that the magnitude and distribution of connectivity changes in PSP and CBS predict the rate of progression and survival time, using datasets from the Cambridge Centre for Parkinson-plus and the UK National PSP Research Network (PROSPECT-MR). Resting-state functional MRI images were available from 146 participants with PSP, 82 participants with CBS, and 90 healthy controls. Large-scale networks were identified through independent component analyses, with correlations taken between component time series. Independent component analysis was also used to select between-network connectivity components to compare with baseline clinical severity, longitudinal rate of change in severity, and survival. Transdiagnostic survival predictors were identified using partial least squares regression for Cox models, with connectivity compared to patients demographics, structural imaging, and clinical scores using five-fold cross-validation. In PSP and CBS, between-network connectivity components were identified that differed from controls, were associated with disease severity, and were related to survival and rate of change in clinical severity. A transdiagnostic component predicted survival beyond demographic and motion metrics but with lower accuracy than an optimal model that included the clinical and structural imaging measures. Cortical atrophy enhanced the connectivity changes that were most predictive of survival. Between-network connectivity is associated with variability in prognosis in PSP and CBS but does not improve predictive accuracy beyond clinical and structural imaging metrics.
- Published
- 2023
6. Diagnostic accuracy of research criteria for prodromal frontotemporal dementia
- Author
-
Benussi, Alberto, Premi, Enrico, Grassi, Mario, Alberici, Antonella, Cantoni, Valentina, Gazzina, Stefano, Archetti, Silvana, Gasparotti, Roberto, Fumagalli, Giorgio G., Bouzigues, Arabella, Russell, Lucy L., Samra, Kiran, Cash, David M., Bocchetta, Martina, Todd, Emily G., Convery, Rhian S., Swift, Imogen, Sogorb-Esteve, Aitana, Heller, Carolin, van Swieten, John C., Jiskoot, Lize C., Seelaar, Harro, Sanchez-Valle, Raquel, Moreno, Fermin, Laforce, Robert Jr., Graff, Caroline, Synofzik, Matthis, Galimberti, Daniela, Rowe, James B., Masellis, Mario, Tartaglia, Maria Carmela, Finger, Elizabeth, Vandenberghe, Rik, Mendonça, Alexandre, Tiraboschi, Pietro, Butler, Chris R., Santana, Isabel, Gerhard, Alexander, Le Ber, Isabelle, Pasquier, Florence, Ducharme, Simon, Levin, Johannes, Sorbi, Sandro, Otto, Markus, Padovani, Alessandro, Rohrer, Jonathan D., and Borroni, Barbara
- Published
- 2024
- Full Text
- View/download PDF
7. Camp Wai
- Author
-
Rowe, James and Waugh, Charlie
- Published
- 2018
8. Temporal dynamics predict symptom onset and cognitive decline in familial frontotemporal dementia.
- Author
-
Whiteside, David, Malpetti, Maura, Jones, P, Ghosh, Boyd, Coyle-Gilchrist, Ian, van Swieten, John, Seelaar, Harro, Jiskoot, Lize, Borroni, Barbara, Sanchez-Valle, Raquel, Moreno, Fermin, Laforce, Robert, Graff, Caroline, Synofzik, Matthis, Galimberti, Daniela, Masellis, Mario, Tartaglia, Maria, Finger, Elizabeth, Vandenberghe, Rik, de Mendonça, Alexandre, Tagliavini, Fabrizio, Butler, Chris, Santana, Isabel, Ber, Isabelle, Gerhard, Alexander, Ducharme, Simon, Levin, Johannes, Danek, Adrian, Otto, Markus, Sorbi, Sandro, Pasquier, Florence, Bouzigues, Arabella, Russell, Lucy, Rohrer, Jonathan, Rowe, James, and Rittman, Timothy
- Subjects
disease progression ,frontotemporal dementia ,functional magnetic resonance imaging (fMRI) ,network dynamics ,presymptomatic ,Humans ,Frontotemporal Dementia ,Mutation ,Brain ,Cognitive Dysfunction ,Magnetic Resonance Imaging - Abstract
INTRODUCTION: We tested whether changes in functional networks predict cognitive decline and conversion from the presymptomatic prodrome to symptomatic disease in familial frontotemporal dementia (FTD). METHODS: For hypothesis generation, 36 participants with behavioral variant FTD (bvFTD) and 34 controls were recruited from one site. For hypothesis testing, we studied 198 symptomatic FTD mutation carriers, 341 presymptomatic mutation carriers, and 329 family members without mutations. We compared functional network dynamics between groups, with clinical severity and with longitudinal clinical progression. RESULTS: We identified a characteristic pattern of dynamic network changes in FTD, which correlated with neuropsychological impairment. Among presymptomatic mutation carriers, this pattern of network dynamics was found to a greater extent in those who subsequently converted to the symptomatic phase. Baseline network dynamic changes predicted future cognitive decline in symptomatic participants and older presymptomatic participants. DISCUSSION: Dynamic network abnormalities in FTD predict cognitive decline and symptomatic conversion. HIGHLIGHTS: We investigated brain network predictors of dementia symptom onset Frontotemporal dementia results in characteristic dynamic network patterns Alterations in network dynamics are associated with neuropsychological impairment Network dynamic changes predict symptomatic conversion in presymptomatic carriers Network dynamic changes are associated with longitudinal cognitive decline.
- Published
- 2023
9. Associated sheaf functors in tensor triangular geometry
- Author
-
Rowe, James Cameron
- Subjects
QA Mathematics - Abstract
Given a tensor triangulated category we investigate the geometry of the Balmer spectrum as a locally ringed space. Specifically we construct functors assigning to every object in the category a corresponding sheaf and a notion of support based upon these sheaves. We compare this support to the usual support in tt-geometry and show that under reasonable conditions they agree on compact objects. We show that when tt-categories satisfy a scheme-like property then the sheaf associated to an object is quasi-coherent, and that in the presence of an appropriate t-structure and affine assumption, this sheaf is in fact the sheaf associated to the object's zeroth cohomology. When the tensor triangulated structure is replaced with a monoidal triangulated structure we show that one can form localising bimodules and central idempotents given particular localisation sequences. Finally, we provide a computation of the spectrum for the enveloping algebra of the A₂ quiver and determine that spectrum consists of a single point.
- Published
- 2023
- Full Text
- View/download PDF
10. Network structure and transcriptomic vulnerability shape atrophy in frontotemporal dementia
- Author
-
Shafiei, Golia, Bazinet, Vincent, Dadar, Mahsa, Manera, Ana L, Collins, D Louis, Dagher, Alain, Borroni, Barbara, Sanchez-Valle, Raquel, Moreno, Fermin, Laforce, Robert, Graff, Caroline, Synofzik, Matthis, Galimberti, Daniela, Rowe, James B, Masellis, Mario, Tartaglia, Maria Carmela, Finger, Elizabeth, Vandenberghe, Rik, de Mendonça, Alexandre, Tagliavini, Fabrizio, Santana, Isabel, Butler, Chris, Gerhard, Alex, Danek, Adrian, Levin, Johannes, Otto, Markus, Sorbi, Sandro, Jiskoot, Lize C, Seelaar, Harro, van Swieten, John C, Rohrer, Jonathan D, Misic, Bratislav, Ducharme, Simon, Initiative, Frontotemporal Lobar Degeneration Neuroimaging, Rosen, Howard, Dickerson, Bradford C, Domoto-Reilly, Kimoko, Knopman, David, Boeve, Bradley F, Boxer, Adam L, Kornak, John, Miller, Bruce L, Seeley, William W, Gorno-Tempini, Maria-Luisa, McGinnis, Scott, Mandelli, Maria Luisa, Initiative, GENetic Frontotemporal dementia, Esteve, Aitana Sogorb, Nelson, Annabel, Bouzigues, Arabella, Heller, Carolin, Greaves, Caroline V, Cash, David, Thomas, David L, Todd, Emily, Benotmane, Hanya, Zetterberg, Henrik, Swift, Imogen J, Nicholas, Jennifer, Samra, Kiran, Russell, Lucy L, Bocchetta, Martina, Shafei, Rachelle, Convery, Rhian S, Timberlake, Carolyn, Cope, Thomas, Rittman, Timothy, Benussi, Alberto, Premi, Enrico, Gasparotti, Roberto, Archetti, Silvana, Gazzina, Stefano, Cantoni, Valentina, Arighi, Andrea, Fenoglio, Chiara, Scarpini, Elio, Fumagalli, Giorgio, Borracci, Vittoria, Rossi, Giacomina, Giaccone, Giorgio, Di Fede, Giuseppe, Caroppo, Paola, Tiraboschi, Pietro, Prioni, Sara, Redaelli, Veronica, Tang-Wai, David, Rogaeva, Ekaterina, Castelo-Branco, Miguel, Freedman, Morris, Keren, Ron, Black, Sandra, Mitchell, Sara, Shoesmith, Christen, Bartha, Robart, Rademakers, Rosa, van der Ende, Emma, Poos, Jackie, Papma, Janne M, Giannini, Lucia, and van Minkelen, Rick
- Subjects
Biomedical and Clinical Sciences ,Health Sciences ,Psychology ,Acquired Cognitive Impairment ,Dementia ,Aging ,Neurodegenerative ,Frontotemporal Dementia (FTD) ,Neurosciences ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Brain Disorders ,Alzheimer's Disease ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,Humans ,Frontotemporal Dementia ,Transcriptome ,Brain ,Pick Disease of the Brain ,Atrophy ,Connectome ,Magnetic Resonance Imaging ,Neuropsychological Tests ,Frontotemporal Lobar Degeneration Neuroimaging Initiative ,GENetic Frontotemporal dementia Initiative ,connectome ,disease epicentre ,frontotemporal dementia ,gene expression ,network spreading ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Neurology & Neurosurgery ,Biomedical and clinical sciences ,Health sciences - Abstract
Connections among brain regions allow pathological perturbations to spread from a single source region to multiple regions. Patterns of neurodegeneration in multiple diseases, including behavioural variant of frontotemporal dementia (bvFTD), resemble the large-scale functional systems, but how bvFTD-related atrophy patterns relate to structural network organization remains unknown. Here we investigate whether neurodegeneration patterns in sporadic and genetic bvFTD are conditioned by connectome architecture. Regional atrophy patterns were estimated in both genetic bvFTD (75 patients, 247 controls) and sporadic bvFTD (70 patients, 123 controls). First, we identified distributed atrophy patterns in bvFTD, mainly targeting areas associated with the limbic intrinsic network and insular cytoarchitectonic class. Regional atrophy was significantly correlated with atrophy of structurally- and functionally-connected neighbours, demonstrating that network structure shapes atrophy patterns. The anterior insula was identified as the predominant group epicentre of brain atrophy using data-driven and simulation-based methods, with some secondary regions in frontal ventromedial and antero-medial temporal areas. We found that FTD-related genes, namely C9orf72 and TARDBP, confer local transcriptomic vulnerability to the disease, modulating the propagation of pathology through the connectome. Collectively, our results demonstrate that atrophy patterns in sporadic and genetic bvFTD are jointly shaped by global connectome architecture and local transcriptomic vulnerability, providing an explanation as to how heterogenous pathological entities can lead to the same clinical syndrome.
- Published
- 2023
11. Uncovering spatiotemporal patterns of atrophy in progressive supranuclear palsy using unsupervised machine learning.
- Author
-
Scotton, William J, Shand, Cameron, Todd, Emily, Bocchetta, Martina, Cash, David M, VandeVrede, Lawren, Heuer, Hilary, PROSPECT Consortium, 4RTNI Consortium, Young, Alexandra L, Oxtoby, Neil, Alexander, Daniel C, Rowe, James B, Morris, Huw R, Boxer, Adam L, Rohrer, Jonathan D, and Wijeratne, Peter A
- Subjects
PROSPECT Consortium ,4RTNI Consortium ,Subtype and Stage Inference ,biomarkers ,disease progression ,machine learning ,progressive supranuclear palsy ,Clinical Research ,Rare Diseases ,Neurosciences ,Biomedical Imaging ,Brain Disorders ,Neurodegenerative ,2.1 Biological and endogenous factors ,Aetiology ,Detection ,screening and diagnosis ,4.2 Evaluation of markers and technologies ,Neurological - Abstract
To better understand the pathological and phenotypic heterogeneity of progressive supranuclear palsy and the links between the two, we applied a novel unsupervised machine learning algorithm (Subtype and Stage Inference) to the largest MRI data set to date of people with clinically diagnosed progressive supranuclear palsy (including progressive supranuclear palsy-Richardson and variant progressive supranuclear palsy syndromes). Our cohort is comprised of 426 progressive supranuclear palsy cases, of which 367 had at least one follow-up scan, and 290 controls. Of the progressive supranuclear palsy cases, 357 were clinically diagnosed with progressive supranuclear palsy-Richardson, 52 with a progressive supranuclear palsy-cortical variant (progressive supranuclear palsy-frontal, progressive supranuclear palsy-speech/language, or progressive supranuclear palsy-corticobasal), and 17 with a progressive supranuclear palsy-subcortical variant (progressive supranuclear palsy-parkinsonism or progressive supranuclear palsy-progressive gait freezing). Subtype and Stage Inference was applied to volumetric MRI features extracted from baseline structural (T1-weighted) MRI scans and then used to subtype and stage follow-up scans. The subtypes and stages at follow-up were used to validate the longitudinal consistency of subtype and stage assignments. We further compared the clinical phenotypes of each subtype to gain insight into the relationship between progressive supranuclear palsy pathology, atrophy patterns, and clinical presentation. The data supported two subtypes, each with a distinct progression of atrophy: a 'subcortical' subtype, in which early atrophy was most prominent in the brainstem, ventral diencephalon, superior cerebellar peduncles, and the dentate nucleus, and a 'cortical' subtype, in which there was early atrophy in the frontal lobes and the insula alongside brainstem atrophy. There was a strong association between clinical diagnosis and the Subtype and Stage Inference subtype with 82% of progressive supranuclear palsy-subcortical cases and 81% of progressive supranuclear palsy-Richardson cases assigned to the subcortical subtype and 82% of progressive supranuclear palsy-cortical cases assigned to the cortical subtype. The increasing stage was associated with worsening clinical scores, whilst the 'subcortical' subtype was associated with worse clinical severity scores compared to the 'cortical subtype' (progressive supranuclear palsy rating scale and Unified Parkinson's Disease Rating Scale). Validation experiments showed that subtype assignment was longitudinally stable (95% of scans were assigned to the same subtype at follow-up) and individual staging was longitudinally consistent with 90% remaining at the same stage or progressing to a later stage at follow-up. In summary, we applied Subtype and Stage Inference to structural MRI data and empirically identified two distinct subtypes of spatiotemporal atrophy in progressive supranuclear palsy. These image-based subtypes were differentially enriched for progressive supranuclear palsy clinical syndromes and showed different clinical characteristics. Being able to accurately subtype and stage progressive supranuclear palsy patients at baseline has important implications for screening patients on entry to clinical trials, as well as tracking disease progression.
- Published
- 2023
12. Perspective Chapter: Beyond Mobile – How AI Is Expanding the Ways Businesses Can Interact with Their Clientele
- Author
-
Rowe, James, primary
- Published
- 2023
- Full Text
- View/download PDF
13. A Neurodegenerative Cascade of Causality
- Author
-
B. Rowe, James, primary and G. Murley, Alexander, additional
- Published
- 2023
- Full Text
- View/download PDF
14. Reserve, Resilience and Resistance to Neurodegeneration
- Author
-
B. Rowe, James, primary and G. Murley, Alexander, additional
- Published
- 2023
- Full Text
- View/download PDF
15. Prodromal Disease and Mild Cognitive Impairment
- Author
-
B. Rowe, James, primary and G. Murley, Alexander, additional
- Published
- 2023
- Full Text
- View/download PDF
16. Preclinical Stages of Neurodegenerative Disease
- Author
-
B. Rowe, James, primary and G. Murley, Alexander, additional
- Published
- 2023
- Full Text
- View/download PDF
17. Spectra, Domains and Dimensions of Neurodegenerative Disease
- Author
-
B. Rowe, James, primary and G. Murley, Alexander, additional
- Published
- 2023
- Full Text
- View/download PDF
18. Comorbidity and Dual Pathology in Neurodegenerative Disorders
- Author
-
B. Rowe, James, primary and G. Murley, Alexander, additional
- Published
- 2023
- Full Text
- View/download PDF
19. Understanding the downside of Council amalgamations : a possible solution for the ‘zombie town’ syndrome
- Author
-
Neville, Bob and Rowe, James E.
- Published
- 2015
20. Hawke’s Bay regional economic development strategy : the importance of stakeholder buy-in
- Author
-
Rowe, James E., Collits, Paul, and MacLeod, Alasdair
- Published
- 2015
21. Temporal order of clinical and biomarker changes in familial frontotemporal dementia
- Author
-
Staffaroni, Adam M, Quintana, Melanie, Wendelberger, Barbara, Heuer, Hilary W, Russell, Lucy L, Cobigo, Yann, Wolf, Amy, Goh, Sheng-Yang Matt, Petrucelli, Leonard, Gendron, Tania F, Heller, Carolin, Clark, Annie L, Taylor, Jack Carson, Wise, Amy, Ong, Elise, Forsberg, Leah, Brushaber, Danielle, Rojas, Julio C, VandeVrede, Lawren, Ljubenkov, Peter, Kramer, Joel, Casaletto, Kaitlin B, Appleby, Brian, Bordelon, Yvette, Botha, Hugo, Dickerson, Bradford C, Domoto-Reilly, Kimiko, Fields, Julie A, Foroud, Tatiana, Gavrilova, Ralitza, Geschwind, Daniel, Ghoshal, Nupur, Goldman, Jill, Graff-Radford, Jonathon, Graff-Radford, Neill, Grossman, Murray, Hall, Matthew G. H, Hsiung, Ging-Yuek, Huey, Edward D, Irwin, David, Jones, David T, Kantarci, Kejal, Kaufer, Daniel, Knopman, David, Kremers, Walter, Lago, Argentina Lario, Lapid, Maria I, Litvan, Irene, Lucente, Diane, Mackenzie, Ian R, Mendez, Mario F, Mester, Carly, Miller, Bruce L, Onyike, Chiadi U, Rademakers, Rosa, Ramanan, Vijay K, Ramos, Eliana Marisa, Rao, Meghana, Rascovsky, Katya, Rankin, Katherine P, Roberson, Erik D, Savica, Rodolfo, Tartaglia, M. Carmela, Weintraub, Sandra, Wong, Bonnie, Cash, David M, Bouzigues, Arabella, Swift, Imogen J, Peakman, Georgia, Bocchetta, Martina, Todd, Emily G, Convery, Rhian S, Rowe, James B, Borroni, Barbara, Galimberti, Daniela, Tiraboschi, Pietro, Masellis, Mario, Finger, Elizabeth, van Swieten, John C, Seelaar, Harro, Jiskoot, Lize C, Sorbi, Sandro, Butler, Chris R, Graff, Caroline, Gerhard, Alexander, Langheinrich, Tobias, Laforce, Robert, Sanchez-Valle, Raquel, de Mendonça, Alexandre, Moreno, Fermin, Synofzik, Matthis, Vandenberghe, Rik, Ducharme, Simon, Le Ber, Isabelle, Levin, Johannes, Danek, Adrian, Otto, Markus, Pasquier, Florence, Santana, Isabel, and Kornak, John
- Published
- 2022
22. Genome-wide analyses reveal a potential role for the MAPT, MOBP, and APOE loci in sporadic frontotemporal dementia
- Author
-
Manzoni, Claudia, Kia, Demis A., Ferrari, Raffaele, Leonenko, Ganna, Costa, Beatrice, Saba, Valentina, Jabbari, Edwin, Tan, Manuela MX., Albani, Diego, Alvarez, Victoria, Alvarez, Ignacio, Andreassen, Ole A., Angiolillo, Antonella, Arighi, Andrea, Baker, Matt, Benussi, Luisa, Bessi, Valentina, Binetti, Giuliano, Blackburn, Daniel J., Boada, Merce, Boeve, Bradley F., Borrego-Ecija, Sergi, Borroni, Barbara, Bråthen, Geir, Brooks, William S., Bruni, Amalia C., Caroppo, Paola, Bandres-Ciga, Sara, Clarimon, Jordi, Colao, Rosanna, Cruchaga, Carlos, Danek, Adrian, de Boer, Sterre CM., de Rojas, Itziar, di Costanzo, Alfonso, Dickson, Dennis W., Diehl-Schmid, Janine, Dobson-Stone, Carol, Dols-Icardo, Oriol, Donizetti, Aldo, Dopper, Elise, Durante, Elisabetta, Ferrari, Camilla, Forloni, Gianluigi, Frangipane, Francesca, Fratiglioni, Laura, Kramberger, Milica G., Galimberti, Daniela, Gallucci, Maurizio, García-González, Pablo, Ghidoni, Roberta, Giaccone, Giorgio, Graff, Caroline, Graff-Radford, Neill R., Grafman, Jordan, Halliday, Glenda M., Hernandez, Dena G., Hjermind, Lena E., Hodges, John R., Holloway, Guy, Huey, Edward D., Illán-Gala, Ignacio, Josephs, Keith A., Knopman, David S., Kristiansen, Mark, Kwok, John B., Leber, Isabelle, Leonard, Hampton L., Libri, Ilenia, Lleo, Alberto, Mackenzie, Ian R., Madhan, Gaganjit K., Maletta, Raffaele, Marquié, Marta, Maver, Ales, Menendez-Gonzalez, Manuel, Milan, Graziella, Miller, Bruce L., Morris, Christopher M., Morris, Huw R., Nacmias, Benedetta, Newton, Judith, Nielsen, Jørgen E., Nilsson, Christer, Novelli, Valeria, Padovani, Alessandro, Pal, Suvankar, Pasquier, Florence, Pastor, Pau, Perneczky, Robert, Peterlin, Borut, Petersen, Ronald C., Piguet, Olivier, Pijnenburg, Yolande AL., Puca, Annibale A., Rademakers, Rosa, Rainero, Innocenzo, Reus, Lianne M., Richardson, Anna MT., Riemenschneider, Matthias, Rogaeva, Ekaterina, Rogelj, Boris, Rollinson, Sara, Rosen, Howard, Rossi, Giacomina, Rowe, James B., Rubino, Elisa, Ruiz, Agustin, Salvi, Erika, Sanchez-Valle, Raquel, Sando, Sigrid Botne, Santillo, Alexander F., Saxon, Jennifer A., Schlachetzki, Johannes CM., Scholz, Sonja W., Seelaar, Harro, Seeley, William W., Serpente, Maria, Sorbi, Sandro, Sordon, Sabrina, St George-Hyslop, Peter, Thompson, Jennifer C., Van Broeckhoven, Christine, Van Deerlin, Vivianna M., Van der Lee, Sven J., Van Swieten, John, Tagliavini, Fabrizio, van der Zee, Julie, Veronesi, Arianna, Vitale, Emilia, Waldo, Maria Landqvist, Yokoyama, Jennifer S., Nalls, Mike A., Momeni, Parastoo, Singleton, Andrew B., Hardy, John, and Escott-Price, Valentina
- Published
- 2024
- Full Text
- View/download PDF
23. Rethinking Politics, Rethinking Theory
- Author
-
Rowe, James K
- Published
- 2006
- Full Text
- View/download PDF
24. Next-generation ABACUS biosensors reveal cellular ABA dynamics driving root growth at low aerial humidity
- Author
-
Rowe, James, Grangé-Guermente, Mathieu, Exposito-Rodriguez, Marino, Wimalasekera, Rinukshi, Lenz, Martin O., Shetty, Kartika N., Cutler, Sean R., and Jones, Alexander M.
- Published
- 2023
- Full Text
- View/download PDF
25. Associated sheaf functors in tt-geometry
- Author
-
Rowe, James
- Subjects
Mathematics - Category Theory ,18G80 (Primary) 18F99 (Secondary) - Abstract
Given a tensor triangulated category we investigate the geometry of the Balmer spectrum as a locally ringed space. Specifically we construct functors assigning to every object in the category a corresponding sheaf and a notion of support based upon these sheaves. We compare this support to the usual support in tt-geometry and show that under reasonable conditions they agree on compact objects. We show that when tt-categories satisfy a scheme-like property then the sheaf associated to an object is quasi-coherent, and that in the presence of an appropriate t-structure and affine assumption, this sheaf is in fact the sheaf associated to the object's zeroth cohomology., Comment: 35 pages
- Published
- 2021
26. Inflammatory plasma profile in genetic symptomatic and presymptomatic Frontotemporal Dementia − A GENFI study
- Author
-
Fenoglio, Chiara, Serpente, Maria, Arcaro, Marina, Carandini, Tiziana, Sacchi, Luca, Pintus, Manuela, Rotondo, Emanuela, Borracci, Vittoria, Ghezzi, Laura, Bouzigues, Arabella, Russell, Lucy L., Foster, Phoebe H., Ferry-Bolder, Eve, van Swieten, John C., Jiskoot, Lize C., Seelaar, Harro, Sánchez Valle, Raquel, Laforce, Robert, Graff, Caroline, Vandenberghe, Rik, de Mendonça, Alexandre, Tiraboschi, Pietro, Santana, Isabel, Gerhard, Alexander, Levin, Johannes, Sorbi, Sandro, Otto, Markus, Pasquier, Florence, Ducharme, Simon, Butler, Chris R., Ber, Isabelle Le, Finger, Elizabeth, Carmela Tartaglia, Maria, Masellis, Mario, Rowe, James B., Synofzik, Matthis, Moreno, Fermin, Borroni, Barbara, Rohrer, Jonathan D., Arighi, Andrea, and Galimberti, Daniela
- Published
- 2024
- Full Text
- View/download PDF
27. MAPT H2 haplotype and risk of Pick's disease in the Pick's disease International Consortium: a genetic association study
- Author
-
Warner, Thomas T, Jaunmuktane, Zane, Boeve, Bradley F, Duara, Ranjan, Graff-Radford, Neill R, Josephs, Keith A, Knopman, David S, Koga, Shunsuke, Murray, Melissa E, Lyons, Kelly E, Pahwa, Rajesh, Petersen, Ronald C, Whitwell, Jennifer L, Grinberg, Lea T, Miller, Bruce, Schlereth, Athena, Spina, Salvatore, Grossman, Murray, Irwin, David J, Suh, EunRan, Trojanowski, John Q, Van Deerlin, Vivianna M, Wolk, David A, Connors, Theresa R, Dooley, Patrick M, Oakley, Derek H, Aldecoa, Iban, Balasa, Mircea, Gelpi, Ellen, Borrego-Écija, Sergi, Gascon-Bayarri, Jordi, Sánchez-Valle, Raquel, Sanz-Cartagena, Pilar, Piñol-Ripoll, Gerard, Bigio, Eileen H, Flanagan, Margaret E, Rogalski, Emily J, Weintraub, Sandra, Schneider, Julie A, Peng, Lihua, Zhu, Xiongwei, Chang, Koping, Troncoso, Juan C, Prokop, Stefan, Newell, Kathy L, Jones, Matthew, Richardson, Anna, Roncaroli, Federico, Snowden, Julie, Allinson, Kieren, Singh, Poonam, Serrano, Geidy E, Flowers, Xena E, Goldman, James E, Heaps, Allison C, Leskinen, Sandra P, Black, Sandra E, Masellis, Mario, King, Andrew, Al-Sarraj, Safa, Troakes, Claire, Hodges, John R, Kril, Jillian J, Kwok, John B, Piguet, Olivier, Roeber, Sigrun, Attems, Johannes, Thomas, Alan J, Evers, Bret M., Bieniek, Kevin F, Sieben, Anne A, Cras, Patrick P, De Vil, Bart B, Bird, Thomas, Castellani, Rudolph J, Chaffee, Ann, Franklin, Erin, Haroutunian, Vahram, Jacobsen, Max, Keene, Dirk, Latimer, Caitlin S, Metcalf, Jeff, Perrin, Richard J, Purohit, Dushyant P, Rissman, Robert A, Schantz, Aimee, Walker, Jamie, De Deyn, Peter P, Duyckaerts, Charles, Le Ber, Isabelle, Seilhean, Danielle, Turbant-Leclere, Sabrina, Ervin, John F, Nennesmo, Inger, Riehl, James, Nacmias, Benedetta, Finger, Elizabeth C, Blauwendraat, Cornelis, Nalls, Mike A, Singleton, Andrew B, Vitale, Dan, Cunha, Cristina, Wszolek, Zbigniew K, Valentino, Rebecca R, Scotton, William J, Roemer, Shanu F, Lashley, Tammaryn, Heckman, Michael G, Shoai, Maryam, Martinez-Carrasco, Alejandro, Tamvaka, Nicole, Walton, Ronald L, Baker, Matthew C, Macpherson, Hannah L, Real, Raquel, Soto-Beasley, Alexandra I, Mok, Kin, Revesz, Tamas, Christopher, Elizabeth A, DeTure, Michael, Seeley, William W, Lee, Edward B, Frosch, Matthew P, Molina-Porcel, Laura, Gefen, Tamar, Redding-Ochoa, Javier, Ghetti, Bernardino, Robinson, Andrew C, Kobylecki, Christopher, Rowe, James B, Beach, Thomas G, Teich, Andrew F, Keith, Julia L, Bodi, Istvan, Halliday, Glenda M, Gearing, Marla, Arzberger, Thomas, Morris, Christopher M, White, Charles L, 3rd, Mechawar, Naguib, Boluda, Susana, MacKenzie, Ian R, McLean, Catriona, Cykowski, Matthew D, Wang, Shih-Hsiu J, Graff, Caroline, Nagra, Rashed M, Kovacs, Gabor G, Giaccone, Giorgio, Neumann, Manuela, Ang, Lee-Cyn, Carvalho, Agostinho, Morris, Huw R, Rademakers, Rosa, Hardy, John A, Dickson, Dennis W, Rohrer, Jonathan D, and Ross, Owen A
- Published
- 2024
- Full Text
- View/download PDF
28. Synaptic density affects clinical severity via network dysfunction in syndromes associated with frontotemporal lobar degeneration
- Author
-
Whiteside, David J., Holland, Negin, Tsvetanov, Kamen A., Mak, Elijah, Malpetti, Maura, Savulich, George, Jones, P. Simon, Naessens, Michelle, Rouse, Matthew A., Fryer, Tim D., Hong, Young T., Aigbirhio, Franklin I., Mulroy, Eoin, Bhatia, Kailash P., Rittman, Timothy, O’Brien, John T., and Rowe, James B.
- Published
- 2023
- Full Text
- View/download PDF
29. The neural substrates of transdiagnostic cognitive-linguistic heterogeneity in primary progressive aphasia
- Author
-
Ramanan, Siddharth, Halai, Ajay D., Garcia-Penton, Lorna, Perry, Alistair G., Patel, Nikil, Peterson, Katie A., Ingram, Ruth U., Storey, Ian, Cappa, Stefano F., Catricala, Eleonora, Patterson, Karalyn, Rowe, James B., Garrard, Peter, and Ralph, Matthew A. Lambon
- Published
- 2023
- Full Text
- View/download PDF
30. Altered plasma protein profiles in genetic FTD – a GENFI study
- Author
-
Ullgren, Abbe, Öijerstedt, Linn, Olofsson, Jennie, Bergström, Sofia, Remnestål, Julia, van Swieten, John C., Jiskoot, Lize C., Seelaar, Harro, Borroni, Barbara, Sanchez-Valle, Raquel, Moreno, Fermin, Laforce, Robert, Synofzik, Matthis, Galimberti, Daniela, Rowe, James B., Masellis, Mario, Tartaglia, Maria Carmela, Finger, Elizabeth, Vandenberghe, Rik, de Mendonça, Alexandre, Tirabosch, Pietro, Santana, Isabel, Ducharme, Simon, Butler, Chris R., Gerhard, Alexander, Otto, Markus, Bouzigues, Arabella, Russell, Lucy, Swift, Imogen J., Sogorb-Esteve, Aitana, Heller, Carolin, Rohrer, Jonathan D., Månberg, Anna, Nilsson, Peter, and Graff, Caroline
- Published
- 2023
- Full Text
- View/download PDF
31. Accurate digital quantification of tau pathology in progressive supranuclear palsy
- Author
-
Pansuwan, Tanrada, Quaegebeur, Annelies, Kaalund, Sanne S., Hidari, Eric, Briggs, Mayen, Rowe, James B., and Rittman, Timothy
- Published
- 2023
- Full Text
- View/download PDF
32. Identifying healthy individuals with Alzheimer’s disease neuroimaging phenotypes in the UK Biobank
- Author
-
Azevedo, Tiago, Bethlehem, Richard A. I., Whiteside, David J., Swaddiwudhipong, Nol, Rowe, James B., Lió, Pietro, and Rittman, Timothy
- Published
- 2023
- Full Text
- View/download PDF
33. Distinct components of cardiovascular health are linked with age-related differences in cognitive abilities
- Author
-
King, Deborah L. O., Henson, Richard N., Kievit, Rogier, Wolpe, Noham, Brayne, Carol, Tyler, Lorraine K., Rowe, James B., and Tsvetanov, Kamen A.
- Published
- 2023
- Full Text
- View/download PDF
34. Practice for a Just, Livable Future
- Author
-
Rowe, James K., primary
- Published
- 2023
- Full Text
- View/download PDF
35. Radical Mindfulness
- Author
-
Rowe, James K., primary
- Published
- 2023
- Full Text
- View/download PDF
36. White Supremacy
- Author
-
Rowe, James K., primary
- Published
- 2023
- Full Text
- View/download PDF
37. Class and Colonial Supremacy
- Author
-
Rowe, James K., primary
- Published
- 2023
- Full Text
- View/download PDF
38. Coda
- Author
-
Rowe, James K., primary
- Published
- 2023
- Full Text
- View/download PDF
39. The Will to Supremacy
- Author
-
Rowe, James K., primary
- Published
- 2023
- Full Text
- View/download PDF
40. An Opening
- Author
-
Rowe, James K., primary
- Published
- 2023
- Full Text
- View/download PDF
41. Introduction
- Author
-
Rowe, James K., primary
- Published
- 2023
- Full Text
- View/download PDF
42. Male Supremacy
- Author
-
Rowe, James K., primary
- Published
- 2023
- Full Text
- View/download PDF
43. Language impairment in the genetic forms of behavioural variant frontotemporal dementia
- Author
-
Samra, Kiran, MacDougall, Amy M., Bouzigues, Arabella, Bocchetta, Martina, Cash, David M., Greaves, Caroline V., Convery, Rhian S., van Swieten, John C., Seelaar, Harro, Jiskoot, Lize, Moreno, Fermin, Sanchez-Valle, Raquel, Laforce, Robert, Graff, Caroline, Masellis, Mario, Tartaglia, Maria Carmela, Rowe, James B., Borroni, Barbara, Finger, Elizabeth, Synofzik, Matthis, Galimberti, Daniela, Vandenberghe, Rik, de Mendonça, Alexandre, Butler, Christopher R., Gerhard, Alexander, Ducharme, Simon, Le Ber, Isabelle, Tiraboschi, Pietro, Santana, Isabel, Pasquier, Florence, Levin, Johannes, Otto, Markus, Sorbi, Sandro, Rohrer, Jonathan D., and Russell, Lucy L.
- Published
- 2023
- Full Text
- View/download PDF
44. Demographic, clinical, biomarker, and neuropathological correlates of posterior cortical atrophy: an international cohort study and individual participant data meta-analysis
- Author
-
Abdi, Zeinab, Agosta, Federica, Ahmed, Samrah, Alcolea, Daniel, Allen, Isabel Elaine, Allinson, Kieren S.J., Apostolova, Liana G., Arighi, Andrea, Balasa, Mircea, Barkhof, Frederik, Best, John, Boon, Baayla D., Brandt, Katherine D., Brosch, Jared, Burrell, James, Butler, Christopher R., Calandri, Ismael, Caminiti, Silvia Paola, Canu, Elisa, Carrillo, Maria C., Caso, Francesca, Chapleau, Marianne, Chrem Mendez, Patricio, Chu, Min, Crutch, Sebastian, Cordato, Nicholas, Costa, Ana Sofia, Cui, Yue, Dickerson, Bradford, Dickson, Dennis W., Duara, Ranjan, Dubois, Bruno, Eldaief, Mark, Farlow, Martin, Fenoglio, Chiara, Filippi, Massimo, Fliessbach, Klaus, Formaglio, Maïté, Fortea, Juan, Fox, Nick, Foxe, David, Tilikete, Caroline Froment, Frosch, Matthew P., Fumagalli, Giorgio Giulio, Galasko, Douglas, Galimberti, Daniela, Garat, Oscar, Giardinieri, Giulia, Graff-Radford, Jonathan, Graff-Radford, Neill R., Grinberg, Lea, Groot, Colin, Hake, Ann Marie, Hansson, Oskar, Headley, Alison, Hernandez, Micaela, Hochberg, Daisy, Hodges, John R., Hof, Patrick R., Holton, Janice, Hromas, Gabrielle, Gala, Ignacio Illán, Irwin, David J., Jaunmuktane, Zane, Jing, Donglai, Josephs, Keith, Kagerer, Sonja M., Kasuga, Kensaku, Kong, Yu, Kövari, Enikö, Lacombe-Thibault, Mégane, Lleó, Alberto, Laforce, Robert, La Joie, Renaud, Lashley, Tammaryn, Leger, Gabriel, Levin, Netta, Levy, Richard, Liu, Yang, Liu, Li, Lladó Plarrumaní, Albert, Lucente, Diane E., Machulda, Mary M., Magnani, Giuseppe, Magnin, Eloi, Malpetti, Maura, Matthews, Brandy, McGinnis, Scott, Mendez, Mario F., Mesulam, Marsel, Migliaccio, Raffaella, Miklitz, Carolin, Miller, Zachary A., Montembeault, Maxime, Murray, Melissa E., Mundada, Nidhi, Nemes, Sara, Nestor, Peter J., Ocal, Dilek, Ossenkoppele, Rik, Paterson, Ross, Pelak, Victoria, Perani, Daniela, Phillips, Jeffrey, Piguet, Olivier, Pijnenburg, Yolande, Putcha, Deepti, Quimby, Megan, Rabinovici, Gil D., Reetz, Kathrin, Rein, Netaniel, Revesz, Tamas, Rezaii, Neguine, Rodriguez-Porcel, Federico, Rogalski, Emily, Rowe, James B., Ryan, Natalie, Sanchez-Valle, Raquel, Sacchi, Luca, Santos-Santos, Miguel Ángel, Schott, Jonathan M., Seeley, William, Sherman, Janet, Spina, Salvatore, Stomrud, Erik, Sullivan, A. Campbell, Tanner, Jeremy, Tideman, Pontus, Tokutake, Takayoshi, Tondo, Giacomo, Touroutoglou, Alexandra, Tousi, Babak, Vandenberghe, Rik, van der Flier, Wiesje, Walker, Jamie M., Weintraub, Sandra, Whitwell, Jennifer L., Wolk, David A., Wong, Bonnie, Wu, Liyong, Xie, Kexin, Yong, Keir, Apostolova, Liana, Boon, Baayla D C, Grinberg, Lea T, Irwin, David J, Josephs, Keith A, Mendez, Mario F, Mendez, Patricio Chrem, Miller, Zachary A, Murray, Melissa E, Nemes, Sára, Schott, Jonathan M, Sullivan, A Campbell, Walker, Jamie, Whitwell, Jennifer L, Wolk, David A, and Rabinovici, Gil D
- Published
- 2024
- Full Text
- View/download PDF
45. Loss of brainstem white matter predicts onset and motor neuron symptoms in C9orf72 expansion carriers: a GENFI study
- Author
-
Pérez-Millan, Agnès, Borrego-Écija, Sergi, van Swieten, John C., Jiskoot, Lize, Moreno, Fermin, Laforce, Robert, Graff, Caroline, Masellis, Mario, Tartaglia, Maria Carmela, Rowe, James B., Borroni, Barbara, Finger, Elizabeth, Synofzik, Matthis, Galimberti, Daniela, Vandenberghe, Rik, de Mendonça, Alexandre, Butler, Chris R., Gerhard, Alexander, Ducharme, Simon, Le Ber, Isabelle, Santana, Isabel, Pasquier, Florence, Levin, Johannes, Otto, Markus, Sorbi, Sandro, Tiraboschi, Pietro, Seelaar, Harro, Langheinrich, Tobias, Rohrer, Jonathan D., Sala-Llonch, Roser, and Sánchez-Valle, Raquel
- Published
- 2023
- Full Text
- View/download PDF
46. Motor symptoms in genetic frontotemporal dementia: developing a new module for clinical rating scales
- Author
-
Samra, Kiran, MacDougall, Amy M., Peakman, Georgia, Bouzigues, Arabella, Bocchetta, Martina, Cash, David M., Greaves, Caroline V., Convery, Rhian S., van Swieten, John C., Jiskoot, Lize, Seelaar, Harro, Moreno, Fermin, Sanchez-Valle, Raquel, Laforce, Robert, Graff, Caroline, Masellis, Mario, Tartaglia, Carmela, Rowe, James B., Borroni, Barbara, Finger, Elizabeth, Synofzik, Matthis, Galimberti, Daniela, Vandenberghe, Rik, de Mendonça, Alexandre, Butler, Chris R., Gerhard, Alexander, Ducharme, Simon, Le Ber, Isabelle, Tiraboschi, Pietro, Santana, Isabel, Pasquier, Florence, Levin, Johannes, Otto, Markus, Sorbi, Sandro, Rohrer, Jonathan D., and Russell, Lucy L.
- Published
- 2023
- Full Text
- View/download PDF
47. Evidence and implications of abnormal predictive coding in dementia
- Author
-
Kocagoncu, Ece, Klimovich-Gray, Anastasia, Hughes, Laura E, and Rowe, James B
- Subjects
Quantitative Biology - Neurons and Cognition - Abstract
The diversity of cognitive deficits and neuropathological processes associated with dementias has encouraged divergence in pathophysiological explanations of disease. Here, we review an alternative framework that emphasises convergent critical features of pathophysiology, rather than the loss of memory centres or language centres, or singular neurotransmitter systems. Cognitive deficits are interpreted in the light of advances in normative accounts of brain function, based on predictive coding in hierarchical neural networks. The predicting coding rests on Bayesian integration of beliefs and sensory evidence, with hierarchical predictions and prediction errors, for memory, perception, speech and behaviour. We describe how analogous impairments in predictive coding in parallel neurocognitive systems can generate diverse clinical phenomena, in neurodegenerative dementias. The review presents evidence from behavioural and neurophysiological studies of perception, language, memory and decision-making. The re-formulation of cognitive deficits in dementia in terms of predictive coding has several advantages. It brings diverse clinical phenomena into a common framework, such as linking cognitive and movement disorders; and it makes specific predictions on cognitive physiology that support translational and experimental medicine studies. The insights into complex human cognitive disorders from the predictive coding model may therefore also inform future therapeutic strategies.
- Published
- 2020
48. Plasma Neurofilament Light for Prediction of Disease Progression in Familial Frontotemporal Lobar Degeneration
- Author
-
Rojas, Julio C, Wang, Ping, Staffaroni, Adam M, Heller, Carolin, Cobigo, Yann, Wolf, Amy, Goh, Sheng-Yang M, Ljubenkov, Peter A, Heuer, Hilary W, Fong, Jamie C, Taylor, Joanne B, Veras, Eliseo, Song, Linan, Jeromin, Andreas, Hanlon, David, Yu, Lili, Khinikar, Arvind, Sivasankaran, Rajeev, Kieloch, Agnieszka, Valentin, Marie-Anne, Karydas, Anna M, Mitic, Laura L, Pearlman, Rodney, Kornak, John, Kramer, Joel H, Miller, Bruce L, Kantarci, Kejal, Knopman, David S, Graff-Radford, Neill, Petrucelli, Leonard, Rademakers, Rosa, Irwin, David J, Grossman, Murray, Ramos, Eliana Marisa, Coppola, Giovanni, Mendez, Mario F, Bordelon, Yvette, Dickerson, Bradford C, Ghoshal, Nupur, Huey, Edward D, Mackenzie, Ian R, Appleby, Brian S, Domoto-Reilly, Kimiko, Hsiung, Ging-Yuek R, Toga, Arthur W, Weintraub, Sandra, Kaufer, Daniel I, Kerwin, Diana, Litvan, Irene, Onyike, Chiadikaobi U, Pantelyat, Alexander, Roberson, Erik D, Tartaglia, Maria C, Foroud, Tatiana, Chen, Weiping, Czerkowicz, Julie, Graham, Danielle L, van Swieten, John C, Borroni, Barbara, Sanchez-Valle, Raquel, Moreno, Fermin, Laforce, Robert, Graff, Caroline, Synofzik, Matthis, Galimberti, Daniela, Rowe, James B, Masellis, Mario, Finger, Elizabeth, Vandenberghe, Rik, de Mendonça, Alexandre, Tagliavini, Fabrizio, Santana, Isabel, Ducharme, Simon, Butler, Chris R, Gerhard, Alexander, Levin, Johannes, Danek, Adrian, Otto, Markus, Sorbi, Sandro, Cash, David M, Convery, Rhian S, Bocchetta, Martina, Foiani, Martha, Greaves, Caroline V, Peakman, Georgia, Russell, Lucy, Swift, Imogen, Todd, Emily, Rohrer, Jonathan D, Boeve, Bradley F, Rosen, Howard J, Boxer, Adam L, and consortia, on behalf of the ALLFTD and GENFI
- Subjects
Biomedical and Clinical Sciences ,Neurosciences ,Clinical Sciences ,Neurodegenerative ,Genetics ,Prevention ,Dementia ,Brain Disorders ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Clinical Research ,Alzheimer's Disease ,Frontotemporal Dementia (FTD) ,Aging ,Acquired Cognitive Impairment ,Clinical Trials and Supportive Activities ,2.1 Biological and endogenous factors ,Aetiology ,Adult ,Aged ,Aged ,80 and over ,Biomarkers ,Cohort Studies ,Disease Progression ,Female ,Frontotemporal Lobar Degeneration ,Humans ,Magnetic Resonance Imaging ,Male ,Middle Aged ,Neurofilament Proteins ,Predictive Value of Tests ,Young Adult ,ALLFTD and GENFI consortia ,Cognitive Sciences ,Neurology & Neurosurgery ,Clinical sciences - Abstract
ObjectiveWe tested the hypothesis that plasma neurofilament light chain (NfL) identifies asymptomatic carriers of familial frontotemporal lobar degeneration (FTLD)-causing mutations at risk of disease progression.MethodsBaseline plasma NfL concentrations were measured with single-molecule array in original (n = 277) and validation (n = 297) cohorts. C9orf72, GRN, and MAPT mutation carriers and noncarriers from the same families were classified by disease severity (asymptomatic, prodromal, and full phenotype) using the CDR Dementia Staging Instrument plus behavior and language domains from the National Alzheimer's Disease Coordinating Center FTLD module (CDR+NACC-FTLD). Linear mixed-effect models related NfL to clinical variables.ResultsIn both cohorts, baseline NfL was higher in asymptomatic mutation carriers who showed phenoconversion or disease progression compared to nonprogressors (original: 11.4 ± 7 pg/mL vs 6.7 ± 5 pg/mL, p = 0.002; validation: 14.1 ± 12 pg/mL vs 8.7 ± 6 pg/mL, p = 0.035). Plasma NfL discriminated symptomatic from asymptomatic mutation carriers or those with prodromal disease (original cutoff: 13.6 pg/mL, 87.5% sensitivity, 82.7% specificity; validation cutoff: 19.8 pg/mL, 87.4% sensitivity, 84.3% specificity). Higher baseline NfL correlated with worse longitudinal CDR+NACC-FTLD sum of boxes scores, neuropsychological function, and atrophy, regardless of genotype or disease severity, including asymptomatic mutation carriers.ConclusionsPlasma NfL identifies asymptomatic carriers of FTLD-causing mutations at short-term risk of disease progression and is a potential tool to select participants for prevention clinical trials.Trial registration informationClinicalTrials.gov Identifier: NCT02372773 and NCT02365922.Classification of evidenceThis study provides Class I evidence that in carriers of FTLD-causing mutations, elevation of plasma NfL predicts short-term risk of clinical progression.
- Published
- 2021
49. Gene Expression Imputation Across Multiple Tissue Types Provides Insight Into the Genetic Architecture of Frontotemporal Dementia and Its Clinical Subtypes
- Author
-
Reus, Lianne M, Pasaniuc, Bogdan, Posthuma, Danielle, Boltz, Toni, Consortium, International FTD-Genomics, Ferrari, Raffaele, Hernandez, Dena G, Nalls, Michael A, Rohrer, Jonathan D, Ramasamy, Adaikalavan, Kwok, John BJ, Dobson-Stone, Carol, Brooks, William S, Schofield, Peter R, Halliday, Glenda M, Hodges, John R, Piguet, Olivier, Bartley, Lauren, Thompson, Elizabeth, Hernández, Isabel, Ruiz, Agustín, Boada, Mercè, Borroni, Barbara, Padovani, Alessandro, Cruchaga, Carlos, Cairns, Nigel J, Benussi, Luisa, Binetti, Giuliano, Ghidoni, Roberta, Forloni, Gianluigi, Galimberti, Daniela, Fenoglio, Chiara, Serpente, Maria, Scarpini, Elio, Clarimón, Jordi, Lleó, Alberto, Blesa, Rafael, Waldö, Maria Landqvist, Nilsson, Karin, Nilsson, Christer, Mackenzie, Ian RA, Hsiung, Ging-Yuek R, Mann, David MA, Grafman, Jordan, Morris, Christopher M, Attems, Johannes, Griffiths, Timothy D, McKeith, Ian G, Thomas, Alan J, Pietrini, Pietro, Huey, Edward D, Wassermann, Eric M, Baborie, Atik, Jaros, Evelyn, Tierney, Michael C, Pastor, Pau, Razquin, Cristina, Ortega-Cubero, Sara, Alonso, Elena, Perneczky, Robert, Diehl-Schmid, Janine, Alexopoulos, Panagiotis, Kurz, Alexander, Rainero, Innocenzo, Rubino, Elisa, Pinessi, Lorenzo, Rogaeva, Ekaterina, St. George-Hyslop, Peter, Rossi, Giacomina, Tagliavini, Fabrizio, Giaccone, Giorgio, Rowe, James B, Schlachetzki, Johannes CM, Uphill, James, Collinge, John, Mead, Simon, Danek, Adrian, Van Deerlin, Vivianna M, Grossman, Murray, Trojanowski, John Q, van der Zee, Julie, Van Broeckhoven, Christine, Cappa, Stefano F, Le Ber, Isabelle, Hannequin, Didier, Golfier, Véronique, Vercelletto, Martine, Brice, Alexis, Nacmias, Benedetta, Sorbi, Sandro, Bagnoli, Silvia, Piaceri, Irene, Nielsen, Jørgen E, Hjermind, Lena E, Riemenschneider, Matthias, Mayhaus, Manuel, Ibach, Bernd, Gasparoni, Gilles, Pichler, Sabrina, and Gu, Wei
- Subjects
Biological Sciences ,Genetics ,Acquired Cognitive Impairment ,Frontotemporal Dementia (FTD) ,Aging ,Dementia ,Neurodegenerative ,Neurosciences ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Brain Disorders ,Prevention ,Alzheimer's Disease Related Dementias (ADRD) ,Rare Diseases ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,Frontotemporal Dementia ,Gene Expression ,Humans ,International FTD-Genomics Consortium ,17q21.31 inversion region ,Dorsolateral prefrontal cortex ,Expression quantitative trait loci ,Frontotemporal dementia ,SEC22B ,Transcriptome-wide association study ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry ,Biological sciences ,Biomedical and clinical sciences ,Psychology - Abstract
BackgroundThe etiology of frontotemporal dementia (FTD) is poorly understood. To identify genes with predicted expression levels associated with FTD, we integrated summary statistics with external reference gene expression data using a transcriptome-wide association study approach.MethodsFUSION software was used to leverage FTD summary statistics (all FTD: n = 2154 cases, n = 4308 controls; behavioral variant FTD: n = 1337 cases, n = 2754 controls; semantic dementia: n = 308 cases, n = 616 controls; progressive nonfluent aphasia: n = 269 cases, n = 538 controls; FTD with motor neuron disease: n = 200 cases, n = 400 controls) from the International FTD-Genomics Consortium with 53 expression quantitative loci tissue type panels (n = 12,205; 5 consortia). Significance was assessed using a 5% false discovery rate threshold.ResultsWe identified 73 significant gene-tissue associations for FTD, representing 44 unique genes in 34 tissue types. Most significant findings were derived from dorsolateral prefrontal cortex splicing data (n = 19 genes, 26%). The 17q21.31 inversion locus contained 23 significant associations, representing 6 unique genes. Other top hits included SEC22B (a gene involved in vesicle trafficking), TRGV5, and ZNF302. A single gene finding (RAB38) was observed for behavioral variant FTD. For other clinical subtypes, no significant associations were observed.ConclusionsWe identified novel candidate genes (e.g., SEC22B) and previously reported risk regions (e.g., 17q21.31) for FTD. Most significant associations were observed in dorsolateral prefrontal cortex splicing data despite the modest sample size of this reference panel. This suggests that our findings are specific to FTD and are likely to be biologically relevant highlights of genes at different FTD risk loci that are contributing to the disease pathology.
- Published
- 2021
50. Separating vascular and neuronal effects of age on fMRI BOLD signals
- Author
-
Tsvetanov, Kamen A., Henson, Richard N. A., and Rowe, James B.
- Subjects
Quantitative Biology - Neurons and Cognition - Abstract
Accurate identification of brain function is necessary to understand the neurobiology of cognitive ageing, and thereby promote well-being across the lifespan. A common tool used to investigate neurocognitive ageing is functional magnetic resonance imaging (fMRI). However, although fMRI data are often interpreted in terms of neuronal activity, the blood-oxygen-level-dependent (BOLD) signal measured by fMRI includes contributions of both vascular and neuronal factors, which change differentially with age. While some studies investigate vascular ageing factors, the results of these studies are not well known within the field of neurocognitive ageing and therefore vascular confounds in neurocognitive fMRI studies are common. In contrast to over 10,000 BOLD-fMRI papers on ageing, fewer than 20 have applied techniques to correct for vascular effects. However, neurovascular ageing is not only a confound in fMRI, but an important feature in its own right, to be assessed alongside measures of neuronal ageing. We review current approaches to dissociate neuronal and vascular components of BOLD-fMRI of regional activity and functional connectivity. We highlight emerging evidence that vascular mechanisms in the brain do not simply control blood flow to support the metabolic needs of neurons, but form complex neurovascular interactions that influence neuronal function in health and disease., Comment: 57 pages, 2 figures
- Published
- 2019
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.