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2. Amyloid pathology and vascular risk are associated with distinct patterns of cerebral white matter hyperintensities: A multicenter study in 3132 memory clinic patients

Author

Biesbroek, J Matthijs, Coenen, Mirthe, DeCarli, Charles, Fletcher, Evan M, Maillard, Pauline M, Initiative, Alzheimer's Disease Neuroimaging, Barkhof, Frederik, Barnes, Josephine, Benke, Thomas, Chen, Christopher PLH, Dal‐Bianco, Peter, Dewenter, Anna, Duering, Marco, Enzinger, Christian, Ewers, Michael, Exalto, Lieza G, Franzmeier, Nicolai, Hilal, Saima, Hofer, Edith, Koek, Huiberdina L, Maier, Andrea B, McCreary, Cheryl R, Papma, Janne M, Paterson, Ross W, Pijnenburg, Yolande AL, Rubinski, Anna, Schmidt, Reinhold, Schott, Jonathan M, Slattery, Catherine F, Smith, Eric E, Sudre, Carole H, Steketee, Rebecca ME, Teunissen, Charlotte E, van den Berg, Esther, van der Flier, Wiesje M, Venketasubramanian, Narayanaswamy, Venkatraghavan, Vikram, Vernooij, Meike W, Wolters, Frank J, Xin, Xu, Kuijf, Hugo J, and Biessels, Geert Jan

Subjects
Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Vascular Cognitive Impairment/Dementia, Dementia, Cerebrovascular, Aging, Brain Disorders, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Alzheimer's Disease Related Dementias (ADRD), Acquired Cognitive Impairment, Alzheimer's Disease, Clinical Research, Neurodegenerative, Neurological, Humans, Female, Middle Aged, Aged, Aged, 80 and over, Male, White Matter, Arteriolosclerosis, Amyloid beta-Peptides, Magnetic Resonance Imaging, amyloid pathology, arteriolosclerosis, dementia, lesion pattern, white matter hyperintensities, Alzheimer's Disease Neuroimaging Initiative, Geriatrics, Clinical sciences, Biological psychology
Abstract

IntroductionWhite matter hyperintensities (WMH) are associated with key dementia etiologies, in particular arteriolosclerosis and amyloid pathology. We aimed to identify WMH locations associated with vascular risk or cerebral amyloid-β1-42 (Aβ42)-positive status.MethodsIndividual patient data (n = 3,132; mean age 71.5 ± 9 years; 49.3% female) from 11 memory clinic cohorts were harmonized. WMH volumes in 28 regions were related to a vascular risk compound score (VRCS) and Aß42 status (based on cerebrospinal fluid or amyloid positron emission tomography), correcting for age, sex, study site, and total WMH volume.ResultsVRCS was associated with WMH in anterior/superior corona radiata (B = 0.034/0.038, p

Published
2024

3. An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease

Author

Kang, Wenjie, Li, Bo, Papma, Janne M., Jiskoot, Lize C., De Deyn, Peter Paul, Biessels, Geert Jan, Claassen, Jurgen A. H. R., Middelkoop, Huub A. M., van der Flier, Wiesje M., Ramakers, Inez H. G. B., Klein, Stefan, and Bron, Esther E.

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Machine learning methods have shown large potential for the automatic early diagnosis of Alzheimer's Disease (AD). However, some machine learning methods based on imaging data have poor interpretability because it is usually unclear how they make their decisions. Explainable Boosting Machines (EBMs) are interpretable machine learning models based on the statistical framework of generalized additive modeling, but have so far only been used for tabular data. Therefore, we propose a framework that combines the strength of EBM with high-dimensional imaging data using deep learning-based feature extraction. The proposed framework is interpretable because it provides the importance of each feature. We validated the proposed framework on the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset, achieving accuracy of 0.883 and area-under-the-curve (AUC) of 0.970 on AD and control classification. Furthermore, we validated the proposed framework on an external testing set, achieving accuracy of 0.778 and AUC of 0.887 on AD and subjective cognitive decline (SCD) classification. The proposed framework significantly outperformed an EBM model using volume biomarkers instead of deep learning-based features, as well as an end-to-end convolutional neural network (CNN) with optimized architecture., Comment: 11 pages, 5 figures

Published
2023

4. 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

5. Spatial distributions of white matter hyperintensities on brain MRI: A pooled analysis of individual participant data from 11 memory clinic cohorts

Author

Coenen, Mirthe, Biessels, Geert Jan, DeCarli, Charles, Fletcher, Evan F, Maillard, Pauline M, Initiative, Alzheimer's Disease Neuroimaging, Barkhof, Frederik, Barnes, Josephine, Benke, Thomas, Boomsma, Jooske MF, Chen, Christopher PLH, Dal-Bianco, Peter, Dewenter, Anna, Duering, Marco, Enzinger, Christian, Ewers, Michael, Exalto, Lieza G, Franzmeier, Nicolai, Groeneveld, Onno, Hilal, Saima, Hofer, Edith, Koek, Huiberdina L, Maier, Andrea B, McCreary, Cheryl R, Papma, Janne M, Paterson, Ross W, Pijnenburg, Yolande AL, Rubinski, Anna, Schmidt, Reinhold, Schott, Jonathan M, Slattery, Catherine F, Smith, Eric E, Sudre, Carole H, Steketee, Rebecca ME, van den Berg, Esther, van der Flier, Wiesje M, Venketasubramanian, Narayanaswamy, Vernooij, Meike W, Wolters, Frank J, Xin, Xu, Biesbroek, J Matthijs, and Kuijf, Hugo J

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Dementia, Brain Disorders, Networking and Information Technology R&D (NITRD), Clinical Research, Aging, Neurosciences, Neurodegenerative, Acquired Cognitive Impairment, Cerebrovascular, Alzheimer's Disease Related Dementias (ADRD), Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Machine Learning and Artificial Intelligence, Vascular Cognitive Impairment/Dementia, Neurological, Humans, White Matter, Brain, Magnetic Resonance Imaging, Neuroimaging, Cognitive Dysfunction, Multicenter Studies as Topic, White matter hyperintensities, Brain MRI, Distribution frequencies, Lesion location, Alzheimer's Disease Neuroimaging Initiative, Biological psychology, Clinical and health psychology
Abstract

IntroductionThe spatial distribution of white matter hyperintensities (WMH) on MRI is often considered in the diagnostic evaluation of patients with cognitive problems. In some patients, clinicians may classify WMH patterns as "unusual", but this is largely based on expert opinion, because detailed quantitative information about WMH distribution frequencies in a memory clinic setting is lacking. Here we report voxel wise 3D WMH distribution frequencies in a large multicenter dataset and also aimed to identify individuals with unusual WMH patterns.MethodsIndividual participant data (N = 3525, including 777 participants with subjective cognitive decline, 1389 participants with mild cognitive impairment and 1359 patients with dementia) from eleven memory clinic cohorts, recruited through the Meta VCI Map Consortium, were used. WMH segmentations were provided by participating centers or performed in Utrecht and registered to the Montreal Neurological Institute (MNI)-152 brain template for spatial normalization. To determine WMH distribution frequencies, we calculated WMH probability maps at voxel level. To identify individuals with unusual WMH patterns, region-of-interest (ROI) based WMH probability maps, rule-based scores, and a machine learning method (Local Outlier Factor (LOF)), were implemented.ResultsWMH occurred in 82% of voxels from the white matter template with large variation between subjects. Only a small proportion of the white matter (1.7%), mainly in the periventricular areas, was affected by WMH in at least 20% of participants. A large portion of the total white matter was affected infrequently. Nevertheless, 93.8% of individual participants had lesions in voxels that were affected in less than 2% of the population, mainly located in subcortical areas. Only the machine learning method effectively identified individuals with unusual patterns, in particular subjects with asymmetric WMH distribution or with WMH at relatively rarely affected locations despite common locations not being affected.DiscussionAggregating data from several memory clinic cohorts, we provide a detailed 3D map of WMH lesion distribution frequencies, that informs on common as well as rare localizations. The use of data-driven analysis with LOF can be used to identify unusual patterns, which might serve as an alert that rare causes of WMH should be considered.

Published
2023

6. Ten years of image analysis and machine learning competitions in dementia

Author

Bron, Esther E., Klein, Stefan, Reinke, Annika, Papma, Janne M., Maier-Hein, Lena, Alexander, Daniel C., and Oxtoby, Neil P.

Subjects
Computer Science - Machine Learning
Abstract

Machine learning methods exploiting multi-parametric biomarkers, especially based on neuroimaging, have huge potential to improve early diagnosis of dementia and to predict which individuals are at-risk of developing dementia. To benchmark algorithms in the field of machine learning and neuroimaging in dementia and assess their potential for use in clinical practice and clinical trials, seven grand challenges have been organized in the last decade. The seven grand challenges addressed questions related to screening, clinical status estimation, prediction and monitoring in (pre-clinical) dementia. There was little overlap in clinical questions, tasks and performance metrics. Whereas this aids providing insight on a broad range of questions, it also limits the validation of results across challenges. The validation process itself was mostly comparable between challenges, using similar methods for ensuring objective comparison, uncertainty estimation and statistical testing. In general, winning algorithms performed rigorous data preprocessing and combined a wide range of input features. Despite high state-of-the-art performances, most of the methods evaluated by the challenges are not clinically used. To increase impact, future challenges could pay more attention to statistical analysis of which factors relate to higher performance, to clinical questions beyond Alzheimer's disease, and to using testing data beyond the Alzheimer's Disease Neuroimaging Initiative. Grand challenges would be an ideal venue for assessing the generalizability of algorithm performance to unseen data of other cohorts. Key for increasing impact in this way are larger testing data sizes, which could be reached by sharing algorithms rather than data to exploit data that cannot be shared., Comment: 12 pages, 4 tables

Published
2021

8. Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease

Author

Bron, Esther E., Klein, Stefan, Papma, Janne M., Jiskoot, Lize C., Venkatraghavan, Vikram, Linders, Jara, Aalten, Pauline, De Deyn, Peter Paul, Biessels, Geert Jan, Claassen, Jurgen A. H. R., Middelkoop, Huub A. M., Smits, Marion, Niessen, Wiro J., van Swieten, John C., van der Flier, Wiesje M., Ramakers, Inez H. G. B., and van der Lugt, Aad

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Physics - Medical Physics
Abstract

This work validates the generalizability of MRI-based classification of Alzheimer's disease (AD) patients and controls (CN) to an external data set and to the task of prediction of conversion to AD in individuals with mild cognitive impairment (MCI). We used a conventional support vector machine (SVM) and a deep convolutional neural network (CNN) approach based on structural MRI scans that underwent either minimal pre-processing or more extensive pre-processing into modulated gray matter (GM) maps. Classifiers were optimized and evaluated using cross-validation in the ADNI (334 AD, 520 CN). Trained classifiers were subsequently applied to predict conversion to AD in ADNI MCI patients (231 converters, 628 non-converters) and in the independent Health-RI Parelsnoer data set. From this multi-center study representing a tertiary memory clinic population, we included 199 AD patients, 139 participants with subjective cognitive decline, 48 MCI patients converting to dementia, and 91 MCI patients who did not convert to dementia. AD-CN classification based on modulated GM maps resulted in a similar AUC for SVM (0.940) and CNN (0.933). Application to conversion prediction in MCI yielded significantly higher performance for SVM (0.756) than for CNN (0.742). In external validation, performance was slightly decreased. For AD-CN, it again gave similar AUCs for SVM (0.896) and CNN (0.876). For prediction in MCI, performances decreased for both SVM (0.665) and CNN (0.702). Both with SVM and CNN, classification based on modulated GM maps significantly outperformed classification based on minimally processed images. Deep and conventional classifiers performed equally well for AD classification and their performance decreased only slightly when applied to the external cohort. We expect that this work on external validation contributes towards translation of machine learning to clinical practice.

Published
2020

9. The reporting of neuropsychiatric symptoms in electronic health records of individuals with Alzheimer’s disease: a natural language processing study

Author

Eikelboom, Willem S., Singleton, Ellen H., van den Berg, Esther, de Boer, Casper, Coesmans, Michiel, Goudzwaard, Jeannette A., Vijverberg, Everard G. B., Pan, Michel, Gouw, Cornalijn, Mol, Merel O., Gillissen, Freek, Fieldhouse, Jay L. P., Pijnenburg, Yolande A. L., van der Flier, Wiesje M., van Swieten, John C., Ossenkoppele, Rik, Kors, Jan A., and Papma, Janne M.

Published
2023
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10. Heterogeneous distribution of tau pathology in the behavioural variant of Alzheimer’s disease

Author

Singleton, Ellen, Hansson, Oskar, Pijnenburg, Yolande AL, La Joie, Renaud, Mantyh, William G, Tideman, Pontus, Stomrud, Erik, Leuzy, Antoine, Johansson, Maurits, Strandberg, Olof, Smith, Ruben, Berendrecht, Evi, Miller, Bruce L, Iaccarino, Leonardo, Edwards, Lauren, Strom, Amelia, Wolters, Emma E, Coomans, Emma, Visser, Denise, Golla, Sandeep SV, Tuncel, Hayel, Bouwman, Femke, Van Swieten, John Cornelis, Papma, Janne M, van Berckel, Bart, Scheltens, Philip, Dijkstra, Anke A, Rabinovici, Gil D, and Ossenkoppele, Rik

Subjects
Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Dementia, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Neurodegenerative, Brain Disorders, Acquired Cognitive Impairment, Alzheimer's Disease, Aging, 2.1 Biological and endogenous factors, Mental health, Neurological, Good Health and Well Being, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery, Clinical sciences
Abstract

ObjectiveThe clinical phenotype of the rare behavioural variant of Alzheimer's disease (bvAD) is insufficiently understood. Given the strong clinico-anatomical correlations of tau pathology in AD, we investigated the distribution of tau deposits in bvAD, in-vivo and ex-vivo, using positron emission tomography (PET) and postmortem examination.MethodsFor the tau PET study, seven amyloid-β positive bvAD patients underwent [18F]flortaucipir or [18F]RO948 PET. We converted tau PET uptake values into standardised (W-)scores, adjusting for age, sex and mini mental state examination in a 'typical' memory-predominant AD (n=205) group. W-scores were computed within entorhinal, temporoparietal, medial and lateral prefrontal, insular and whole-brain regions-of-interest, frontal-to-entorhinal and frontal-to-parietal ratios and within intrinsic functional connectivity network templates. For the postmortem study, the percentage of AT8 (tau)-positive area in hippocampus CA1, temporal, parietal, frontal and insular cortices were compared between autopsy-confirmed patients with bvAD (n=8) and typical AD (tAD;n=7).ResultsIndividual regional W-scores ≥1.96 (corresponding to p0.05).ConclusionsBoth in-vivo and ex-vivo, patients with bvAD showed heterogeneous distributions of tau pathology. Since key regions involved in behavioural regulation were not consistently disproportionally affected by tau pathology, other factors are more likely driving the clinical phenotype in bvAD.

Published
2021

11. An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer’s Disease

Author

for the Alzheimer’s Disease Neuroimaging Initiative, on behalf of the Parelsnoer Neurodegenerative Diseases study group, Kang, Wenjie, Li, Bo, Papma, Janne M., Jiskoot, Lize C., Deyn, Peter Paul De, Biessels, Geert Jan, Claassen, Jurgen A. H. R., Middelkoop, Huub A. M., Flier, Wiesje M. van der, Ramakers, Inez H. G. B., Klein, Stefan, Bron, Esther E., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Celebi, M. Emre, editor, Salekin, Md Sirajus, editor, Kim, Hyunwoo, editor, Albarqouni, Shadi, editor, Barata, Catarina, editor, Halpern, Allan, editor, Tschandl, Philipp, editor, Combalia, Marc, editor, Liu, Yuan, editor, Zamzmi, Ghada, editor, Levy, Joshua, editor, Rangwala, Huzefa, editor, Reinke, Annika, editor, Wynn, Diya, editor, Landman, Bennett, editor, Jeong, Won-Ki, editor, Shen, Yiqing, editor, Deng, Zhongying, editor, Bakas, Spyridon, editor, Li, Xiaoxiao, editor, Qin, Chen, editor, Rieke, Nicola, editor, Roth, Holger, editor, and Xu, Daguang, editor

Published
2023
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13. Brain volumetric deficits in MAPT mutation carriers: a multisite study

Author

Chu, Stephanie A, Flagan, Taru M, Staffaroni, Adam M, Jiskoot, Lize C, Deng, Jersey, Spina, Salvatore, Zhang, Liwen, Sturm, Virginia E, Yokoyama, Jennifer S, Seeley, William W, Papma, Janne M, Geschwind, Dan H, Rosen, Howard J, Boeve, Bradley F, Boxer, Adam L, Heuer, Hilary W, Forsberg, Leah K, Brushaber, Danielle E, Grossman, Murray, Coppola, Giovanni, Dickerson, Bradford C, Bordelon, Yvette M, Faber, Kelley, Feldman, Howard H, Fields, Julie A, Fong, Jamie C, Foroud, Tatiana, Gavrilova, Ralitza H, Ghoshal, Nupur, Graff‐Radford, Neill R, Hsiung, Ging‐Yuek Robin, Huey, Edward D, Irwin, David J, Kantarci, Kejal, Kaufer, Daniel I, Karydas, Anna M, Knopman, David S, Kornak, John, Kramer, Joel H, Kukull, Walter A, Lapid, Maria I, Litvan, Irene, Mackenzie, Ian RA, Mendez, Mario F, Miller, Bruce L, Onyike, Chiadi U, Pantelyat, Alexander Y, Rademakers, Rosa, Ramos, Eliana Marisa, Roberson, Erik D, Tartaglia, Maria Carmela, Tatton, Nadine A, Toga, Arthur W, Vetor, Ashley, Weintraub, Sandra, Wong, Bonnie, Wszolek, Zbigniew K, Consortium, the ARTFL LEFFTDS, Van Swieten, John C, and Lee, Suzee E

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Psychology, Biomedical Imaging, Alzheimer's Disease Related Dementias (ADRD), Acquired Cognitive Impairment, Frontotemporal Dementia (FTD), Behavioral and Social Science, Dementia, Neurosciences, Mental Health, Neurodegenerative, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Aging, Clinical Research, Brain Disorders, 2.1 Biological and endogenous factors, Neurological, Adult, Aged, Brain, Female, Frontotemporal Dementia, Heterozygote, Humans, Male, Middle Aged, Mutation, tau Proteins, ARTFL/LEFFTDS Consortium, Clinical Sciences, Clinical and health psychology
Abstract

ObjectiveMAPT mutations typically cause behavioral variant frontotemporal dementia with or without parkinsonism. Previous studies have shown that symptomatic MAPT mutation carriers have frontotemporal atrophy, yet studies have shown mixed results as to whether presymptomatic carriers have low gray matter volumes. To elucidate whether presymptomatic carriers have lower structural brain volumes within regions atrophied during the symptomatic phase, we studied a large cohort of MAPT mutation carriers using a voxelwise approach.MethodsWe studied 22 symptomatic carriers (age 54.7 ± 9.1, 13 female) and 43 presymptomatic carriers (age 39.2 ± 10.4, 21 female). Symptomatic carriers' clinical syndromes included: behavioral variant frontotemporal dementia (18), an amnestic dementia syndrome (2), Parkinson's disease (1), and mild cognitive impairment (1). We performed voxel-based morphometry on T1 images and assessed brain volumetrics by clinical subgroup, age, and mutation subtype.ResultsSymptomatic carriers showed gray matter atrophy in bilateral frontotemporal cortex, insula, and striatum, and white matter atrophy in bilateral corpus callosum and uncinate fasciculus. Approximately 20% of presymptomatic carriers had low gray matter volumes in bilateral hippocampus, amygdala, and lateral temporal cortex. Within these regions, low gray matter volumes emerged in a subset of presymptomatic carriers as early as their thirties. Low white matter volumes arose infrequently among presymptomatic carriers.InterpretationA subset of presymptomatic MAPT mutation carriers showed low volumes in mesial temporal lobe, the region ubiquitously atrophied in all symptomatic carriers. With each decade of age, an increasing percentage of presymptomatic carriers showed low mesial temporal volume, suggestive of early neurodegeneration.

Published
2021

14. Prodromal language impairment in genetic frontotemporal dementia within the GENFI cohort

Author

Nelson, Annabel, Thomas, David L., Todd, Emily, Benotmane, Hanya, Nicholas, Jennifer, Shafei, Rachelle, 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, 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, Poos, Jackie, Papma, Janne M., Giannini, Lucia, van Minkelen, Rick, Pijnenburg, Yolande, Nacmias, Benedetta, Ferrari, Camilla, Polito, Cristina, Lombardi, Gemma, Bessi, Valentina, Veldsman, Michele, Andersson, Christin, Thonberg, Hakan, Öijerstedt, Linn, Jelic, Vesna, Thompson, Paul, Langheinrich, Tobias, Lladó, Albert, Antonell, Anna, Olives, Jaume, Balasa, Mircea, Bargalló, Nuria, Borrego-Ecija, Sergi, Verdelho, Ana, Maruta, Carolina, Ferreira, Catarina B., Miltenberger, Gabriel, do Couto, Frederico Simões, Gabilondo, Alazne, Gorostidi, Ana, Villanua, Jorge, Cañada, Marta, Tainta, Mikel, Zulaica, Miren, Barandiaran, Myriam, Alves, Patricia, Bender, Benjamin, Wilke, Carlo, Graf, Lisa, Vogels, Annick, Vandenbulcke, Mathieu, Van Damme, Philip, Bruffaerts, Rose, Poesen, Koen, Rosa-Neto, Pedro, Gauthier, Serge, Camuzat, Agnès, Brice, Alexis, Bertrand, Anne, Funkiewiez, Aurélie, Rinaldi, Daisy, Saracino, Dario, Colliot, Olivier, Sayah, Sabrina, Prix, Catharina, Wlasich, Elisabeth, Wagemann, Olivia, Loosli, Sandra, Schönecker, Sonja, Hoegen, Tobias, Lombardi, Jolina, Anderl-Straub, Sarah, Rollin, Adeline, Kuchcinski, Gregory, Bertoux, Maxime, Lebouvier, Thibaud, Deramecourt, Vincent, Santiago, Beatriz, Duro, Diana, Leitão, Maria João, Almeida, Maria Rosario, Tábuas-Pereira, Miguel, Afonso, Sónia, Samra, Kiran, MacDougall, Amy M., 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, Maria Carmela, Rowe, James B., Borroni, Barbara, Finger, Elizabeth, Synofzik, Matthis, Galimberti, Daniela, Vandenberghe, Rik, de Mendonça, Alexandre, Butler, Chris R., Gerhard, Alex, 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
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15. Investigating the clinico-anatomical dissociation in the behavioral variant of Alzheimer disease

Author

Singleton, Ellen H, Pijnenburg, Yolande AL, Sudre, Carole H, Groot, Colin, Kochova, Elena, Barkhof, Frederik, La Joie, Renaud, Rosen, Howard J, Seeley, William W, Miller, Bruce, Cardoso, M Jorge, Papma, Janne, Scheltens, Philip, Rabinovici, Gil D, and Ossenkoppele, Rik

Subjects
Biomedical and Clinical Sciences, Health Sciences, Brain Disorders, Aging, Biomedical Imaging, Neurodegenerative, Basic Behavioral and Social Science, Acquired Cognitive Impairment, Dementia, Behavioral and Social Science, Neurosciences, Clinical Research, Alzheimer's Disease, Alzheimer's Disease Related Dementias (ADRD), Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), 2.1 Biological and endogenous factors, Neurological, Alzheimer Disease, Frontotemporal Dementia, Gray Matter, Humans, Magnetic Resonance Imaging, Retrospective Studies, Alzheimer&#8217, s disease, Behavior, Frontotemporal dementia, MRI, PET, Alzheimer’s disease, Medical and Health Sciences, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundWe previously found temporoparietal-predominant atrophy patterns in the behavioral variant of Alzheimer's disease (bvAD), with relative sparing of frontal regions. Here, we aimed to understand the clinico-anatomical dissociation in bvAD based on alternative neuroimaging markers.MethodsWe retrospectively included 150 participants, including 29 bvAD, 28 "typical" amnestic-predominant AD (tAD), 28 behavioral variant of frontotemporal dementia (bvFTD), and 65 cognitively normal participants. Patients with bvAD were compared with other diagnostic groups on glucose metabolism and metabolic connectivity measured by [18F]FDG-PET, and on subcortical gray matter and white matter hyperintensity (WMH) volumes measured by MRI. A receiver-operating-characteristic-analysis was performed to determine the neuroimaging measures with highest diagnostic accuracy.ResultsbvAD and tAD showed predominant temporoparietal hypometabolism compared to controls, and did not differ in direct contrasts. However, overlaying statistical maps from contrasts between patients and controls revealed broader frontoinsular hypometabolism in bvAD than tAD, partially overlapping with bvFTD. bvAD showed greater anterior default mode network (DMN) involvement than tAD, mimicking bvFTD, and reduced connectivity of the posterior cingulate cortex with prefrontal regions. Analyses of WMH and subcortical volume showed closer resemblance of bvAD to tAD than to bvFTD, and larger amygdalar volumes in bvAD than tAD respectively. The top-3 discriminators for bvAD vs. bvFTD were FDG posterior-DMN-ratios (bvADbvFTD, area under the curve [AUC] range 0.85-0.91, all p tAD), MRI anterior-DMN-ratios (bvADConclusionsSubtle frontoinsular hypometabolism and anterior DMN involvement may underlie the prominent behavioral phenotype in bvAD.

Published
2020

16. Age at symptom onset and death and disease duration in genetic frontotemporal dementia: an international retrospective cohort study.

Author

Moore, Katrina M, Nicholas, Jennifer, Grossman, Murray, McMillan, Corey T, Irwin, David J, Massimo, Lauren, Van Deerlin, Vivianna M, Warren, Jason D, Fox, Nick C, Rossor, Martin N, Mead, Simon, Bocchetta, Martina, Boeve, Bradley F, Knopman, David S, Graff-Radford, Neill R, Forsberg, Leah K, Rademakers, Rosa, Wszolek, Zbigniew K, van Swieten, John C, Jiskoot, Lize C, Meeter, Lieke H, Dopper, Elise Gp, Papma, Janne M, Snowden, Julie S, Saxon, Jennifer, Jones, Matthew, Pickering-Brown, Stuart, Le Ber, Isabelle, Camuzat, Agnès, Brice, Alexis, Caroppo, Paola, Ghidoni, Roberta, Pievani, Michela, Benussi, Luisa, Binetti, Giuliano, Dickerson, Bradford C, Lucente, Diane, Krivensky, Samantha, Graff, Caroline, Öijerstedt, Linn, Fallström, Marie, Thonberg, Håkan, Ghoshal, Nupur, Morris, John C, Borroni, Barbara, Benussi, Alberto, Padovani, Alessandro, Galimberti, Daniela, Scarpini, Elio, Fumagalli, Giorgio G, Mackenzie, Ian R, Hsiung, Ging-Yuek R, Sengdy, Pheth, Boxer, Adam L, Rosen, Howie, Taylor, Joanne B, Synofzik, Matthis, Wilke, Carlo, Sulzer, Patricia, Hodges, John R, Halliday, Glenda, Kwok, John, Sanchez-Valle, Raquel, Lladó, Albert, Borrego-Ecija, Sergi, Santana, Isabel, Almeida, Maria Rosário, Tábuas-Pereira, Miguel, Moreno, Fermin, Barandiaran, Myriam, Indakoetxea, Begoña, Levin, Johannes, Danek, Adrian, Rowe, James B, Cope, Thomas E, Otto, Markus, Anderl-Straub, Sarah, de Mendonça, Alexandre, Maruta, Carolina, Masellis, Mario, Black, Sandra E, Couratier, Philippe, Lautrette, Geraldine, Huey, Edward D, Sorbi, Sandro, Nacmias, Benedetta, Laforce, Robert, Tremblay, Marie-Pier L, Vandenberghe, Rik, Damme, Philip Van, Rogalski, Emily J, Weintraub, Sandra, Gerhard, Alexander, Onyike, Chiadi U, Ducharme, Simon, Papageorgiou, Sokratis G, Ng, Adeline Su Lyn, Brodtmann, Amy, Finger, Elizabeth, and Guerreiro, Rita

Subjects
FTD Prevention Initiative, Humans, Disease Progression, tau Proteins, Retrospective Studies, Cohort Studies, Family, Age of Onset, Phenotype, Mutation, Adult, Aged, Aged, 80 and over, Middle Aged, Female, Male, Frontotemporal Dementia, C9orf72 Protein, Progranulins, Clinical Research, Rare Diseases, Dementia, Aging, Brain Disorders, Genetic Testing, Neurodegenerative, Neurosciences, Alzheimer's Disease Related Dementias (ADRD), Prevention, Genetics, Acquired Cognitive Impairment, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), 2.1 Biological and endogenous factors, Neurological, Neurology & Neurosurgery, Clinical Sciences
Abstract

BackgroundFrontotemporal dementia is a heterogenous neurodegenerative disorder, with about a third of cases being genetic. Most of this genetic component is accounted for by mutations in GRN, MAPT, and C9orf72. In this study, we aimed to complement previous phenotypic studies by doing an international study of age at symptom onset, age at death, and disease duration in individuals with mutations in GRN, MAPT, and C9orf72.MethodsIn this international, retrospective cohort study, we collected data on age at symptom onset, age at death, and disease duration for patients with pathogenic mutations in the GRN and MAPT genes and pathological expansions in the C9orf72 gene through the Frontotemporal Dementia Prevention Initiative and from published papers. We used mixed effects models to explore differences in age at onset, age at death, and disease duration between genetic groups and individual mutations. We also assessed correlations between the age at onset and at death of each individual and the age at onset and at death of their parents and the mean age at onset and at death of their family members. Lastly, we used mixed effects models to investigate the extent to which variability in age at onset and at death could be accounted for by family membership and the specific mutation carried.FindingsData were available from 3403 individuals from 1492 families: 1433 with C9orf72 expansions (755 families), 1179 with GRN mutations (483 families, 130 different mutations), and 791 with MAPT mutations (254 families, 67 different mutations). Mean age at symptom onset and at death was 49·5 years (SD 10·0; onset) and 58·5 years (11·3; death) in the MAPT group, 58·2 years (9·8; onset) and 65·3 years (10·9; death) in the C9orf72 group, and 61·3 years (8·8; onset) and 68·8 years (9·7; death) in the GRN group. Mean disease duration was 6·4 years (SD 4·9) in the C9orf72 group, 7·1 years (3·9) in the GRN group, and 9·3 years (6·4) in the MAPT group. Individual age at onset and at death was significantly correlated with both parental age at onset and at death and with mean family age at onset and at death in all three groups, with a stronger correlation observed in the MAPT group (r=0·45 between individual and parental age at onset, r=0·63 between individual and mean family age at onset, r=0·58 between individual and parental age at death, and r=0·69 between individual and mean family age at death) than in either the C9orf72 group (r=0·32 individual and parental age at onset, r=0·36 individual and mean family age at onset, r=0·38 individual and parental age at death, and r=0·40 individual and mean family age at death) or the GRN group (r=0·22 individual and parental age at onset, r=0·18 individual and mean family age at onset, r=0·22 individual and parental age at death, and r=0·32 individual and mean family age at death). Modelling showed that the variability in age at onset and at death in the MAPT group was explained partly by the specific mutation (48%, 95% CI 35-62, for age at onset; 61%, 47-73, for age at death), and even more by family membership (66%, 56-75, for age at onset; 74%, 65-82, for age at death). In the GRN group, only 2% (0-10) of the variability of age at onset and 9% (3-21) of that of age of death was explained by the specific mutation, whereas 14% (9-22) of the variability of age at onset and 20% (12-30) of that of age at death was explained by family membership. In the C9orf72 group, family membership explained 17% (11-26) of the variability of age at onset and 19% (12-29) of that of age at death.InterpretationOur study showed that age at symptom onset and at death of people with genetic frontotemporal dementia is influenced by genetic group and, particularly for MAPT mutations, by the specific mutation carried and by family membership. Although estimation of age at onset will be an important factor in future pre-symptomatic therapeutic trials for all three genetic groups, our study suggests that data from other members of the family will be particularly helpful only for individuals with MAPT mutations. Further work in identifying both genetic and environmental factors that modify phenotype in all groups will be important to improve such estimates.FundingUK Medical Research Council, National Institute for Health Research, and Alzheimer's Society.

Published
2020

17. Genome-wide meta-analysis for Alzheimer’s disease cerebrospinal fluid biomarkers

Author

Jansen, Iris E., van der Lee, Sven J., Gomez-Fonseca, Duber, de Rojas, Itziar, Dalmasso, Maria Carolina, Grenier-Boley, Benjamin, Zettergren, Anna, Mishra, Aniket, Ali, Muhammad, Andrade, Victor, Bellenguez, Céline, Kleineidam, Luca, Küçükali, Fahri, Sung, Yun Ju, Tesí, Niccolo, Vromen, Ellen M., Wightman, Douglas P., Alcolea, Daniel, Alegret, Montserrat, Alvarez, Ignacio, Amouyel, Philippe, Athanasiu, Lavinia, Bahrami, Shahram, Bailly, Henri, Belbin, Olivia, Bergh, Sverre, Bertram, Lars, Biessels, Geert Jan, Blennow, Kaj, Blesa, Rafael, Boada, Mercè, Boland, Anne, Buerger, Katharina, Carracedo, Ángel, Cervera-Carles, Laura, Chene, Geneviève, Claassen, Jurgen A. H. R., Debette, Stephanie, Deleuze, Jean-Francois, de Deyn, Peter Paul, Diehl-Schmid, Janine, Djurovic, Srdjan, Dols-Icardo, Oriol, Dufouil, Carole, Duron, Emmanuelle, Düzel, Emrah, Fladby, Tormod, Fortea, Juan, Frölich, Lutz, García-González, Pablo, Garcia-Martinez, Maria, Giegling, Ina, Goldhardt, Oliver, Gobom, Johan, Grimmer, Timo, Haapasalo, Annakaisa, Hampel, Harald, Hanon, Olivier, Hausner, Lucrezia, Heilmann-Heimbach, Stefanie, Helisalmi, Seppo, Heneka, Michael T., Hernández, Isabel, Herukka, Sanna-Kaisa, Holstege, Henne, Jarholm, Jonas, Kern, Silke, Knapskog, Anne-Brita, Koivisto, Anne M., Kornhuber, Johannes, Kuulasmaa, Teemu, Lage, Carmen, Laske, Christoph, Leinonen, Ville, Lewczuk, Piotr, Lleó, Alberto, de Munain, Adolfo López, Lopez-Garcia, Sara, Maier, Wolfgang, Marquié, Marta, Mol, Merel O., Montrreal, Laura, Moreno, Fermin, Moreno-Grau, Sonia, Nicolas, Gael, Nöthen, Markus M., Orellana, Adelina, Pålhaugen, Lene, Papma, Janne M., Pasquier, Florence, Perneczky, Robert, Peters, Oliver, Pijnenburg, Yolande A. L., Popp, Julius, Posthuma, Danielle, Pozueta, Ana, Priller, Josef, Puerta, Raquel, Quintela, Inés, Ramakers, Inez, Rodriguez-Rodriguez, Eloy, Rujescu, Dan, Saltvedt, Ingvild, Sanchez-Juan, Pascual, Scheltens, Philip, Scherbaum, Norbert, Schmid, Matthias, Schneider, Anja, Selbæk, Geir, Selnes, Per, Shadrin, Alexey, Skoog, Ingmar, Soininen, Hilkka, Tárraga, Lluís, Teipel, Stefan, Tijms, Betty, Tsolaki, Magda, Van Broeckhoven, Christine, Van Dongen, Jasper, van Swieten, John C., Vandenberghe, Rik, Vidal, Jean-Sébastien, Visser, Pieter J., Vogelgsang, Jonathan, Waern, Margda, Wagner, Michael, Wiltfang, Jens, Wittens, Mandy M. J., Zetterberg, Henrik, Zulaica, Miren, van Duijn, Cornelia M., Bjerke, Maria, Engelborghs, Sebastiaan, Jessen, Frank, Teunissen, Charlotte E., Pastor, Pau, Hiltunen, Mikko, Ingelsson, Martin, Andreassen, Ole A., Clarimón, Jordi, Sleegers, Kristel, Ruiz, Agustín, Ramirez, Alfredo, Cruchaga, Carlos, Lambert, Jean-Charles, and van der Flier, Wiesje

Published
2022
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18. Early neurotransmitters changes in prodromal frontotemporal dementia: A GENFI study

Author

Esteve, Aitana Sogorb, Heller, Carolin, Greaves, Caroline V., Zetterberg, Henrik, Swift, Imogen J., Samra, Kiran, Shafei, Rachelle, Timberlake, Carolyn, Cope, Thomas, Rittman, Timothy, 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, Poos, Jackie, Papma, Janne M., Giannini, Lucia, van Minkelen, Rick, Pijnenburg, Yolande, Nacmias, Benedetta, Ferrari, Camilla, Polito, Cristina, Lombardi, Gemma, Bessi, Valentina, Veldsman, Michele, Andersson, Christin, Thonberg, Hakan, Öijerstedt, Linn, Jelic, Vesna, Thompson, Paul, Langheinrich, Tobias, Lladó, Albert, Antonell, Anna, Olives, Jaume, Balasa, Mircea, Bargalló, Nuria, Borrego-Ecija, Sergi, Verdelho, Ana, Maruta, Carolina, Ferreira, Catarina B., Miltenberger, Gabriel, do Couto, Frederico Simões, Gabilondo, Alazne, Gorostidi, Ana, Villanua, Jorge, Cañada, Marta, Tainta, Mikel, Zulaica, Miren, Barandiaran, Myriam, Alves, Patricia, Bender, Benjamin, Wilke, Carlo, Graf, Lisa, Vogels, Annick, Vandenbulcke, Mathieu, Van Damme, Philip, Bruffaerts, Rose, Poesen, Koen, Rosa-Neto, Pedro, Gauthier, Serge, Camuzat, Agnès, Brice, Alexis, Bertrand, Anne, Funkiewiez, Aurélie, Rinaldi, Daisy, Saracino, Dario, Colliot, Olivier, Sayah, Sabrina, Prix, Catharina, Wlasich, Elisabeth, Wagemann, Olivia, Loosli, Sandra, Schönecker, Sonja, Hoegen, Tobias, Lombardi, Jolina, Anderl-Straub, Sarah, Rollin, Adeline, Kuchcinski, Gregory, Bertoux, Maxime, Lebouvier, Thibaud, Deramecourt, Vincent, Santiago, Beatriz, Duro, Diana, Leitão, Maria João, Almeida, Maria Rosario, Tábuas-Pereira, Miguel, Afonso, Sónia, Premi, Enrico, Pengo, Marta, Mattioli, Irene, Cantoni, Valentina, Dukart, Juergen, Gasparotti, Roberto, Buratti, Emanuele, Padovani, Alessandro, Bocchetta, Martina, Todd, Emily G., Bouzigues, Arabella, Cash, David M., Convery, Rhian S., Russell, Lucy L., Foster, Phoebe, Thomas, David L., van Swieten, John C., Jiskoot, Lize C., Seelaar, Harro, Galimberti, Daniela, Sanchez-Valle, Raquel, Laforce, Robert, Jr, Moreno, Fermin, Synofzik, Matthis, Graff, Caroline, Masellis, Mario, Tartaglia, Maria Carmela, Rowe, James B., Tsvetanov, Kamen A., Vandenberghe, Rik, Finger, Elizabeth, de Mendonça, Alexandre, Santana, Isabel, Butler, Chris R., Ducharme, Simon, Gerhard, Alexander, Levin, Johannes, Otto, Markus, Sorbi, Sandro, Le Ber, Isabelle, Pasquier, Florence, Rohrer, Jonathan D., and Borroni, Barbara

Published
2023
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19. Clinical value of cerebrospinal fluid neurofilament light chain in semantic dementia.

Author

Meeter, Lieke HH, Steketee, Rebecca ME, Salkovic, Dina, Vos, Maartje E, Grossman, Murray, McMillan, Corey T, Irwin, David J, Boxer, Adam L, Rojas, Julio C, Olney, Nicholas T, Karydas, Anna, Miller, Bruce L, Pijnenburg, Yolande AL, Barkhof, Frederik, Sánchez-Valle, Raquel, Lladó, Albert, Borrego-Ecija, Sergi, Diehl-Schmid, Janine, Grimmer, Timo, Goldhardt, Oliver, Santillo, Alexander F, Hansson, Oskar, Vestberg, Susanne, Borroni, Barbara, Padovani, Alessandro, Galimberti, Daniela, Scarpini, Elio, Rohrer, Jonathan D, Woollacott, Ione OC, Synofzik, Matthis, Wilke, Carlo, de Mendonca, Alexandre, Vandenberghe, Rik, Benussi, Luisa, Ghidoni, Roberta, Binetti, Giuliano, Niessen, Wiro J, Papma, Janne M, Seelaar, Harro, Jiskoot, Lize C, de Jong, Frank Jan, Donker Kaat, Laura, Del Campo, Marta, Teunissen, Charlotte E, Bron, Esther E, Van den Berg, Esther, and Van Swieten, John C

Subjects
Humans, Neurofilament Proteins, Magnetic Resonance Imaging, Proportional Hazards Models, Case-Control Studies, Retrospective Studies, Cross-Sectional Studies, Neuropsychological Tests, Aged, Middle Aged, Female, Male, Frontotemporal Dementia, Neuroimaging, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery
Abstract

BackgroundSemantic dementia (SD) is a neurodegenerative disorder characterised by progressive language problems falling within the clinicopathological spectrum of frontotemporal lobar degeneration (FTLD). The development of disease-modifying agents may be facilitated by the relative clinical and pathological homogeneity of SD, but we need robust monitoring biomarkers to measure their efficacy. In different FTLD subtypes, neurofilament light chain (NfL) is a promising marker, therefore we investigated the utility of cerebrospinal fluid (CSF) NfL in SD.MethodsThis large retrospective multicentre study compared cross-sectional CSF NfL levels of 162 patients with SD with 65 controls. CSF NfL levels of patients were correlated with clinical parameters (including survival), neuropsychological test scores and regional grey matter atrophy (including longitudinal data in a subset).ResultsCSF NfL levels were significantly higher in patients with SD (median: 2326 pg/mL, IQR: 1628-3593) than in controls (577 (446-766), p

Published
2019

22. Structural brain splitting is a hallmark of Granulin-related frontotemporal dementia

Author

Afonso, Sónia, Almeida, Maria Rosario, Andersson, Christin, Antonell, Anna, Arighi, Andrea, Balasa, Mircea, Barandiaran, Myriam, Bargalló, Nuria, Bartha, Robart, Bender, Benjamin, Bertoux, Maxime, Bertrand, Anne, Bessi, Valentina, Black, Sandra, Borrego-Ecija, Sergi, Bouzigues, Arabella, Bras, Jose, Brice, Alexis, Bruffaerts, Rose, Camuzat, Agnès, Cañada, Marta, Cantoni, Valentina, Caroppo, Paola, Castelo-Branco, Miguel, Colliot, Olivier, Cope, Thomas, Deramecourt, Vincent, Fede, Giuseppe Di, Díez, Alina, Duro, Diana, Fenoglio, Chiara, Ferrari, Camilla, Ferreira, Catarina B., Fox, Nick, Freedman, Morris, Fumagalli, Giorgio, Funkiewiez, Aurélie, Gabilondo, Alazne, Gauthier, Serge, Giaccone, Giorgio, Gorostidi, Ana, Greaves, Caroline, Guerreiro, Rita, Heller, Carolin, Hoegen, Tobias, Indakoetxea, Begoña, Jelic, Vesna, Karnath, Hans-Otto, Keren, Ron, Kuchcinski, Gregory, Langheinrich, Tobias, Lebouvier, Thibaud, Leitão, Maria João, Lladó, Albert, Lombardi, Gemma, Lombardi, Jolina, Loosli, Sandra, Maruta, Carolina, Mead, Simon, Meeter, Lieke, Miltenberger, Gabriel, van Minkelen, Rick, Mitchell, Sara, Moore, Katrina, Nacmias, Benedetta, Nelson, Annabel, Nicholas, Jennifer, Öijerstedt, Linn, Olives, Jaume, Ourselin, Sebastien, Panman, Jessica, Papma, Janne M., Pijnenburg, Yolande, Polito, Cristina, Prioni, Sara, Prix, Catharina, Rademakers, Rosa, Redaelli, Veronica, Rinaldi, Daisy, Rittman, Tim, Rogaeva, Ekaterina, Rollin, Adeline, Rosa-Neto, Pedro, Rossi, Giacomina, Rossor, Martin, Santiago, Beatriz, Saracino, Dario, Sayah, Sabrina, Scarpini, Elio, Schönecker, Sonja, Shafei, Rachelle, Shoesmith, Christen, Swift, Imogen, Tábuas-Pereira, Miguel, Tainta, Mikel, Taipa, Ricardo, Tang-Wai, David, Thomas, David L, Thompson, Paul, Thonberg, Hakan, Timberlake, Carolyn, Tiraboschi, Pietro, Van Damme, Philip, Vandenbulcke, Mathieu, Veldsman, Michele, Verdelho, Ana, Villanua, Jorge, Warren, Jason, Wilke, Carlo, Woollacott, Ione, Wlasich, Elisabeth, Zetterberg, Henrik, Zulaica, Miren, Gazzina, Stefano, Grassi, Mario, Premi, Enrico, Alberici, Antonella, Benussi, Alberto, Archetti, Silvana, Gasparotti, Roberto, Bocchetta, Martina, Cash, David M., Todd, Emily G., Peakman, Georgia, Convery, Rhian S., 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, de Mendonça, Alexandre, Tagliavini, Fabrizio, Butler, Chris R., Santana, Isabel, Gerhard, Alexander, Ber, Isabelle Le, Pasquier, Florence, Ducharme, Simon, Levin, Johannes, Danek, Adrian, Sorbi, Sandro, Otto, Markus, Rohrer, Jonathan D., and Borroni, Barbara

Published
2022
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23. Examining empathy deficits across familial forms of frontotemporal dementia within the GENFI cohort

Author

Afonso, Sónia, Almeida, Maria Rosario, Anderl-Straub, Sarah, Andersson, Christin, Antonell, Anna, Archetti, Silvana, Arighi, Andrea, Balasa, Mircea, Barandiaran, Myriam, Bargalló, Nuria, Bartha, Robart, Bender, Benjamin, Benussi, Alberto, Bertoux, Maxime, Bertrand, Anne, Bessi, Valentina, Black, Sandra, Borrego-Ecija, Sergi, Bras, Jose, Brice, Alexis, Bruffaerts, Rose, Camuzat, Agnès, Cañada, Marta, Cantoni, Valentina, Caroppo, Paola, Cash, David, Castelo-Branco, Miguel, Colliot, Olivier, Cope, Thomas, Deramecourt, Vincent, de Arriba, María, Di Fede, Giuseppe, Díez, Alina, Duro, Diana, Fenoglio, Chiara, Ferrari, Camilla, Ferreira, Catarina B., Fox, Nick, Freedman, Morris, Fumagalli, Giorgio, Funkiewiez, Aurélie, Gabilondo, Alazne, Gasparotti, Roberto, Gauthier, Serge, Gazzina, Stefano, Giaccone, Giorgio, Gorostidi, Ana, Greaves, Caroline, Guerreiro, Rita, Heller, Carolin, Hoegen, Tobias, Indakoetxea, Begoña, Jelic, Vesna, Karnath, Hans-Otto, Keren, Ron, Kuchcinski, Gregory, Langheinrich, Tobias, Lebouvier, Thibaud, Leitão, Maria João, Lladó, Albert, Lombardi, Gemma, Loosli, Sandra, Maruta, Carolina, Mead, Simon, Meeter, Lieke, Miltenberger, Gabriel, van Minkelen, Rick, Mitchell, Sara, Moore, Katrina, Nacmias, Benedetta, Nelson, Annabel, Öijerstedt, Linn, Olives, Jaume, Ourselin, Sebastien, Padovani, Alessandro, Panman, Jessica, Papma, Janne M., Pijnenburg, Yolande, Polito, Cristina, Premi, Enrico, Prioni, Sara, Prix, Catharina, Rademakers, Rosa, Redaelli, Veronica, Rinaldi, Daisy, Rittman, Tim, Rogaeva, Ekaterina, Rollin, Adeline, Rosa-Neto, Pedro, Rossi, Giacomina, Rossor, Martin, Santiago, Beatriz, Saracino, Dario, Sayah, Sabrina, Scarpini, Elio, Schönecker, Sonja, Seelaar, Harro, Semler, Elisa, Shafei, Rachelle, Shoesmith, Christen, Swift, Imogen, Tábuas-Pereira, Miguel, Tainta, Mikel, Taipa, Ricardo, Tang-Wai, David, Thomas, David L., Thompson, Paul, Thonberg, Hakan, Timberlake, Carolyn, Tiraboschi, Pietro, Todd, Emily, Van Damme, Philip, Vandenbulcke, Mathieu, Veldsman, Michele, Verdelho, Ana, Villanua, Jorge, Warren, Jason, Wilke, Carlo, Woollacott, Ione, Wlasich, Elisabeth, Zetterberg, Henrik, Zulaica, Miren, Foster, Phoebe H., Russell, Lucy L., Peakman, Georgia, Convery, Rhian S., Bouzigues, Arabella, Greaves, Caroline V., Bocchetta, Martina, Cash, David M., van Swieten, John C., Jiskoot, Lize C., 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, Alex, Ducharme, Simon, Le Ber, Isabelle, Tagliavini, Fabrizio, Santana, Isabel, Pasquier, Florence, Levin, Johannes, Danek, Adrian, Otto, Markus, Sorbi, Sandro, and Rohrer, Jonathan D.

Published
2022
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24. Prevalence of amyloid‐β pathology in distinct variants of primary progressive aphasia

Author

Bergeron, David, Gorno‐Tempini, Maria L, Rabinovici, Gil D, Santos‐Santos, Miguel A, Seeley, William, Miller, Bruce L, Pijnenburg, Yolande, Keulen, M Antoinette, Groot, Colin, van Berckel, Bart NM, van der Flier, Wiesje M, Scheltens, Philip, Rohrer, Jonathan D, Warren, Jason D, Schott, Jonathan M, Fox, Nick C, Sanchez‐Valle, Raquel, Grau‐Rivera, Oriol, Gelpi, Ellen, Seelaar, Harro, Papma, Janne M, van Swieten, John C, Hodges, John R, Leyton, Cristian E, Piguet, Olivier, Rogalski, Emily J, Mesulam, Marsel M, Koric, Lejla, Kristensen, Nora, Pariente, Jeéreémie, Dickerson, Bradford, Mackenzie, Ian R, Hsiung, Ging‐Yuek R, Belliard, Serge, Irwin, David J, Wolk, David A, Grossman, Murray, Jones, Matthew, Harris, Jennifer, Mann, David, Snowden, Julie S, Chrem‐Mendez, Patricio, Calandri, Ismael L, Amengual, Alejandra A, Miguet‐Alfonsi, Carole, Magnin, Eloi, Magnani, Giuseppe, Santangelo, Roberto, Deramecourt, Vincent, Pasquier, Florence, Mattsson, Niklas, Nilsson, Christer, Hansson, Oskar, Keith, Julia, Masellis, Mario, Black, Sandra E, Matías‐Guiu, Jordi A, Cabrera‐Martin, María‐Nieves, Paquet, Claire, Dumurgier, Julien, Teichmann, Marc, Sarazin, Marie, Bottlaender, Michel, Dubois, Bruno, Rowe, Christopher C, Villemagne, Victor L, Vandenberghe, Rik, Granadillo, Elias, Teng, Edmond, Mendez, Mario, Meyer, Philipp T, Frings, Lars, Lleó, Alberto, Blesa, Rafael, Fortea, Juan, Seo, Sang Won, Diehl‐Schmid, Janine, Grimmer, Timo, Frederiksen, Kristian Steen, Sánchez‐Juan, Pascual, Chételat, Gaël, Jansen, Willemijn, Bouchard, Rémi W, Laforce, Robert Jr, Visser, Pieter Jelle, and Ossenkoppele, Rik

Subjects
Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Frontotemporal Dementia (FTD), Acquired Cognitive Impairment, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Dementia, Neurodegenerative, Alzheimer's Disease, Aphasia, Brain Disorders, Rare Diseases, Aging, Clinical Research, Alzheimer's Disease Related Dementias (ADRD), 2.1 Biological and endogenous factors, 4.2 Evaluation of markers and technologies, Neurological, Age Factors, Aged, Aged, 80 and over, Amyloid beta-Peptides, Aphasia, Primary Progressive, Apolipoproteins E, Brain, Female, Genotype, Humans, Male, Middle Aged, Prevalence, Neurology & Neurosurgery, Clinical sciences
Abstract

ObjectiveTo estimate the prevalence of amyloid positivity, defined by positron emission tomography (PET)/cerebrospinal fluid (CSF) biomarkers and/or neuropathological examination, in primary progressive aphasia (PPA) variants.MethodsWe conducted a meta-analysis with individual participant data from 1,251 patients diagnosed with PPA (including logopenic [lvPPA, n = 443], nonfluent [nfvPPA, n = 333], semantic [svPPA, n = 401], and mixed/unclassifiable [n = 74] variants of PPA) from 36 centers, with a measure of amyloid-β pathology (CSF [n = 600], PET [n = 366], and/or autopsy [n = 378]) available. The estimated prevalence of amyloid positivity according to PPA variant, age, and apolipoprotein E (ApoE) ε4 status was determined using generalized estimating equation models.ResultsAmyloid-β positivity was more prevalent in lvPPA (86%) than in nfvPPA (20%) or svPPA (16%; p

Published
2018

25. Poly(GP), neurofilament and grey matter deficits in C9orf72 expansion carriers

Author

Meeter, Lieke HH, Gendron, Tania F, Sias, Ana C, Jiskoot, Lize C, Russo, Silvia P, Kaat, Laura Donker, Papma, Janne M, Panman, Jessica L, van der Ende, Emma L, Dopper, Elise G, Franzen, Sanne, Graff, Caroline, Boxer, Adam L, Rosen, Howard J, Sanchez‐Valle, Raquel, Galimberti, Daniela, Pijnenburg, Yolande AL, Benussi, Luisa, Ghidoni, Roberta, Borroni, Barbara, Laforce, Robert, del Campo, Marta, Teunissen, Charlotte E, van Minkelen, Rick, Rojas, Julio C, Coppola, Giovanni, Geschwind, Dan H, Rademakers, Rosa, Karydas, Anna M, Öijerstedt, Linn, Scarpini, Elio, Binetti, Giuliano, Padovani, Alessandro, Cash, David M, Dick, Katrina M, Bocchetta, Martina, Miller, Bruce L, Rohrer, Jonathan D, Petrucelli, Leonard, van Swieten, John C, and Lee, Suzee E

Subjects
Biomedical and Clinical Sciences, Neurosciences, Neurodegenerative, Brain Disorders, Frontotemporal Dementia (FTD), Rare Diseases, Acquired Cognitive Impairment, Aging, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), ALS, Alzheimer's Disease Related Dementias (ADRD), Dementia, Clinical Research, 2.1 Biological and endogenous factors, Neurological, Clinical Sciences, Clinical and health psychology
Abstract

ObjectiveTo evaluate poly(GP), a dipeptide repeat protein, and neurofilament light chain (NfL) as biomarkers in presymptomatic C9orf72 repeat expansion carriers and patients with C9orf72-associated frontotemporal dementia. Additionally, to investigate the relationship of poly(GP) with indicators of neurodegeneration as measured by NfL and grey matter volume.MethodsWe measured poly(GP) and NfL levels in cerebrospinal fluid (CSF) from 25 presymptomatic C9orf72 expansion carriers, 64 symptomatic expansion carriers with dementia, and 12 noncarriers. We explored associations with grey matter volumes using region of interest and voxel-wise analyses.ResultsPoly(GP) was present in C9orf72 expansion carriers and absent in noncarriers (specificity 100%, sensitivity 97%). Presymptomatic carriers had lower poly(GP) levels than symptomatic carriers. NfL levels were higher in symptomatic carriers than in presymptomatic carriers and healthy noncarriers. NfL was highest in patients with concomitant motor neuron disease, and correlated with disease severity and survival. Associations between poly(GP) levels and small grey matter regions emerged but did not survive multiple comparison correction, while higher NfL levels were associated with atrophy in frontotemporoparietal cortices and the thalamus.InterpretationThis study of C9orf72 expansion carriers reveals that: (1) poly(GP) levels discriminate presymptomatic and symptomatic expansion carriers from noncarriers, but are not associated with indicators of neurodegeneration; and (2) NfL levels are associated with grey matter atrophy, disease severity, and shorter survival. Together, poly(GP) and NfL show promise as complementary biomarkers for clinical trials for C9orf72-associated frontotemporal dementia, with poly(GP) as a potential marker for target engagement and NfL as a marker of disease activity and progression.

Published
2018

26. Elevated CSF and plasma complement proteins in genetic frontotemporal dementia: results from the GENFI study

Author

van der Ende, Emma L., Heller, Carolin, Sogorb-Esteve, Aitana, Swift, Imogen J., McFall, David, Peakman, Georgia, Bouzigues, Arabella, Poos, Jackie M., Jiskoot, Lize C., Panman, Jessica L., Papma, Janne M., Meeter, Lieke H., Dopper, Elise G. P., Bocchetta, Martina, Todd, Emily, Cash, David, Graff, Caroline, Synofzik, Matthis, Moreno, Fermin, Finger, Elizabeth, Sanchez-Valle, Raquel, Vandenberghe, Rik, Laforce, Jr, Robert, Masellis, Mario, Tartaglia, Maria Carmela, Rowe, James B., Butler, Chris, Ducharme, Simon, Gerhard, Alexander, Danek, Adrian, Levin, Johannes, Pijnenburg, Yolande A. L., Otto, Markus, Borroni, Barbara, Tagliavini, Fabrizio, de Mendonça, Alexandre, Santana, Isabel, Galimberti, Daniela, Sorbi, Sandro, Zetterberg, Henrik, Huang, Eric, van Swieten, John C., Rohrer, Jonathan D., and Seelaar, Harro

Published
2022
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27. Cognitive composites for genetic frontotemporal dementia: GENFI-Cog

Author

Poos, Jackie M., Moore, Katrina M., Nicholas, Jennifer, Russell, Lucy L., Peakman, Georgia, Convery, Rhian S., Jiskoot, Lize C., van der Ende, Emma, van den Berg, Esther, Papma, Janne M., Seelaar, Harro, Pijnenburg, Yolande A. L., Moreno, Fermin, Sanchez-Valle, Raquel, Borroni, Barbara, Laforce, Robert, Masellis, Mario, Tartaglia, Carmela, Graff, Caroline, Galimberti, Daniela, Rowe, James B., Finger, Elizabeth, Synofzik, Matthis, Vandenberghe, Rik, de Mendonça, Alexandre, Tiraboschi, Pietro, Santana, Isabel, Ducharme, Simon, Butler, Chris, Gerhard, Alexander, Levin, Johannes, Danek, Adrian, Otto, Markus, Le Ber, Isabel, Pasquier, Florence, van Swieten, John C., and Rohrer, Jonathan D.

Published
2022
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30. Differential early subcortical involvement in genetic FTD within the GENFI cohort

Author

Afonso, Sónia, Rosario Almeida, Maria, Anderl-Straub, Sarah, Andersson, Christin, Antonell, Anna, Archetti, Silvana, Arighi, Andrea, Balasa, Mircea, Barandiaran, Myriam, Bargalló, Nuria, Bartha, Robart, Bender, Benjamin, Benussi, Alberto, Bertoux, Maxime, Bertrand, Anne, Bessi, Valentina, Black, Sandra, Borrego-Ecija, Sergi, Bras, Jose, Brice, Alexis, Bruffaerts, Rose, Camuzat, Agnès, Cañada, Marta, Cantoni, Valentina, Caroppo, Paola, Castelo-Branco, Miguel, Colliot, Olivier, Cope, Thomas, Deramecourt, Vincent, de Arriba, María, Di Fede, Giuseppe, Díez, Alina, Duro, Diana, Fenoglio, Chiara, Ferrari, Camilla, Ferreira, Catarina B., Fox, Nick, Freedman, Morris, Fumagalli, Giorgio, Funkiewiez, Aurélie, Gabilondo, Alazne, Gasparotti, Roberto, Gauthier, Serge, Gazzina, Stefano, Giaccone, Giorgio, Gorostidi, Ana, Greaves, Caroline, Guerreiro, Rita, Heller, Carolin, Hoegen, Tobias, Indakoetxea, Begoña, Jelic, Vesna, Karnath, Hans-Otto, Keren, Ron, Kuchcinski, Gregory, Langheinrich, Tobias, Lebouvier, Thibaud, João Leitão, Maria, Lladó, Albert, Lombardi, Gemma, Loosli, Sandra, Maruta, Carolina, Mead, Simon, Meeter, Lieke, Miltenberger, Gabriel, van Minkelen, Rick, Mitchell, Sara, Moore, Katrina, Nacmias, Benedetta, Nelson, Annabel, Nicholas, Jennifer, Öijerstedt, Linn, Olives, Jaume, Ourselin, Sebastien, Padovani, Alessandro, Panman, Jessica, Papma, Janne M., Pijnenburg, Yolande, Polito, Cristina, Premi, Enrico, Prioni, Sara, Prix, Catharina, Rademakers, Rosa, Redaelli, Veronica, Rinaldi, Daisy, Rittman, Tim, Rogaeva, Ekaterina, Rollin, Adeline, Rosa-Neto, Pedro, Rossi, Giacomina, Rossor, Martin, Santiago, Beatriz, Saracino, Dario, Sayah, Sabrina, Scarpini, Elio, Schönecker, Sonja, Semler, Elisa, Shafei, Rachelle, Shoesmith, Christen, Swift, Imogen, Tábuas-Pereira, Miguel, Tainta, Mikel, Taipa, Ricardo, Tang-Wai, David, Thompson, Paul, Thonberg, Hakan, Timberlake, Carolyn, Tiraboschi, Pietro, Van Damme, Philip, Vandenbulcke, Mathieu, Veldsman, Michele, Verdelho, Ana, Villanua, Jorge, Warren, Jason, Wilke, Carlo, Woollacott, Ione, Wlasich, Elisabeth, Zetterberg, Henrik, Zulaica, Miren, Bocchetta, Martina, Todd, Emily G., Peakman, Georgia, Cash, David M., Convery, Rhian S., Russell, Lucy L., Thomas, David L., Eugenio Iglesias, Juan, van Swieten, John C., Jiskoot, Lize C., Seelaar, Harro, Borroni, Barbara, Galimberti, Daniela, Sanchez-Valle, Raquel, Laforce, Robert, Moreno, Fermin, Synofzik, Matthis, Graff, Caroline, Masellis, Mario, Carmela Tartaglia, Maria, Rowe, James B., Vandenberghe, Rik, Finger, Elizabeth, Tagliavini, Fabrizio, de Mendonça, Alexandre, Santana, Isabel, Butler, Chris R., Ducharme, Simon, Gerhard, Alexander, Danek, Adrian, Levin, Johannes, Otto, Markus, Sorbi, Sandro, Le Ber, Isabelle, Pasquier, Florence, and Rohrer, Jonathan D.

Published
2021
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31. Disease-related cortical thinning in presymptomatic granulin mutation carriers

Author

Rossor, Martin N., Fox, Nick C., Woollacott, Ione O.C., Shafei, Rachelle, Greaves, Caroline, Neason, Mollie, Guerreiro, Rita, Bras, Jose, Thomas, David L., Nicholas, Jennifer, Mead, Simon, Meeter, Lieke, Panman, Jessica, Papma, Janne, van Minkelen, Rick, Pijnenburg, Yolande, Indakoetxea, Begoña, Gabilondo, Alazne, TaintaMD, Mikel, de Arriba, Maria, Gorostidi, Ana, Zulaica, Miren, Villanua, Jorge, Diaz, Zigor, Olives, Jaume, Lladó, Albert, Balasa, Mircea, Antonell, Anna, Bargallo, Nuria, Premi, Enrico, Cosseddu, Maura, Gazzina, Stefano, Padovani, Alessandro, Gasparotti, Roberto, Archetti, Silvana, Black, Sandra, Mitchell, Sara, Rogaeva, Ekaterina, Freedman, Morris, Keren, Ron, Tang-Wai, David, Öijerstedt, Linn, Andersson, Christin, Jelic, Vesna, Thonberg, Hakan, Arighi, Andrea, Fenoglio, Chiara, Scarpini MD, Elio, Fumagalli, Giorgio, Cope, Thomas, Timberlake, Carolyn, Rittman, Timothy, Shoesmith, Christen, Bartha, Robart, Rademakers, Rosa, Wilke, Carlo, Bender, Benjamin, Bruffaerts, Rose, Vandamme, Philip, Vandenbulcke, Mathieu, Maruta, Carolina, Ferreira, Catarina B., Miltenberger, Gabriel, Verdelho, Ana, Afonso, Sónia, Taipa, Ricardo, Caroppo, Paola, Di Fede, Giuseppe, Giaccone, Giorgio, Prioni, Sara, Redaelli, Veronica, Rossi, Giacomina, Tiraboschi, Pietro, Duro, Diana, Rosario Almeida, Maria, Castelo-Branco, Miguel, João Leitão, Maria, Tabuas-Pereira, Miguel, Santiago, Beatriz, Gauthier, Serge, Rosa-Neto, Pedro, Veldsman, Michele, Flanagan, Toby, Prix, Catharina, Hoegen, Tobias, Wlasich, Elisabeth, Loosli, Sandra, Schonecker, Sonja, Semler, Elisa, Anderl-Straub, Sarah, Borrego-Écija, Sergi, Sala-Llonch, Roser, van Swieten, John, Borroni, Barbara, Moreno, Fermín, Masellis, Mario, Tartaglia, Carmela, Graff, Caroline, Galimberti, Daniela, Laforce, Robert, Jr, Rowe, James B, Finger, Elizabeth, Vandenberghe, Rik, Tagliavini, Fabrizio, de Mendonça, Alexandre, Santana, Isabel, Synofzik, Matthis, Ducharme, Simon, Levin, Johannes, Danek, Adrian, Gerhard, Alex, Otto, Markus, Butler, Chris, Frisoni, Giovanni, Sorbi, Sandro, Heller, Carolin, Bocchetta, Martina, Cash, David M, Convery, Rhian S, Moore, Katrina M, Rohrer, Jonathan D, and Sanchez-Valle, Raquel

Published
2021
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32. Cross-cohort generalizability of deep and conventional machine learning for MRI-based diagnosis and prediction of Alzheimer’s disease

Author

Bron, Esther E., Klein, Stefan, Papma, Janne M., Jiskoot, Lize C., Venkatraghavan, Vikram, Linders, Jara, Aalten, Pauline, De Deyn, Peter Paul, Biessels, Geert Jan, Claassen, Jurgen A.H.R., Middelkoop, Huub A.M., Smits, Marion, Niessen, Wiro J., van Swieten, John C., van der Flier, Wiesje M., Ramakers, Inez H.G.B., and van der Lugt, Aad

Published
2021
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33. Social cognition impairment in genetic frontotemporal dementia within the GENFI cohort

Author

Rossor, Martin N., Fox, Nick C., Woollacott, Ione O.C., Shafei, Rachelle, Heller, Carolin, Guerreiro, Rita, Bras, Jose, Thomas, David L., Mead, Simon, Meeter, Lieke, Panman, Jessica, Papma, Janne, Poos, Jackie, van Minkelen, Rick, Pijnenburg, Yolanda, Barandiaran, Myriam, Indakoetxea, Begoña, Gabilondo, Alazne, Tainta, Mikel, de Arriba, Maria, Gorostidi, Ana, Zulaica, Miren, Villanua, Jorge, Diaz, Zigor, Borrego-Ecija, Sergi, Olives, Jaume, Lladó, Albert, Balasa, Mircea, Antonell, Anna, Bargallo, Nuria, Premi, Enrico, Cosseddu MPsych, Maura, Gazzina, Stefano, Padovani, Alessandro, Gasparotti, Roberto, Archetti, Silvana, Black, Sandra, Mitchell, Sara, Rogaeva, Ekaterina, Freedman, Morris, Keren, Ron, Tang-Wai, Daid, Öijerstedt, Linn, Andersson, Christin, Jelic, Vesna, Thonberg, Hakan, Arighi, Andrea, Fenoglio, Chiara, Scarpini, Elio, Fumagalli, Giorgio, Cope, Thomas, Timberlake, Carolyn, Rittman, Timothy, Shoesmith, Christen, Bartha, Robart, Rademakers, Rosa, Wilke, Carlo, Karnarth, Hans-Otto, Bender, Benjamin, Bruffaerts, Rose, Vandamme, Philip, Vandenbulcke, Mathieu, Ferreira, Catarina B., Miltenberger, Gabriel, Maruta MPsych, Carolina, Verdelho, Ana, Afonso, Sónia, Taipa, Ricardo, Caroppo, Paola, Di Fede, Giuseppe, Giaccone, Giorgio, Muscio, Cristina, Prioni, Sara, Redaelli, Veronica, Rossi, Giacomina, Tiraboschi, Pietro, Duro NPsych, Diana, Almeida, Maria R., Castelo-Branco, Miguel, Leitão, Maria J., Tabuas-Pereira, Miguel, Santiago, Beatriz, Gauthier, Serge, Rosa-Neto, Pedro, Veldsman, Michele, Thompson, Paul, Langheinrich, Tobias, Prix, Catharina, Hoegen, Tobias, Wlasich, Elisabeth, Loosli, Sandra, Schonecker, Sonja, Semler, Elisa, Anderl-Straub, Sarah, Russell, Lucy L., Greaves, Caroline V., Bocchetta, Martina, Nicholas, Jennifer, Convery, Rhian S., Moore, Katrina, Cash, David M., van Swieten, John, Jiskoot, Lize, Moreno, Fermin, Sanchez-Valle, Raquel, Borroni, Barbara, Laforce, Robert, Jr., Masellis, Mario, Tartaglia, Maria Carmela, Graff, Caroline, Rotondo, Emanuela, Galimberti, Daniela, Rowe, James B., Finger, Elizabeth, Synofzik, Matthis, Vandenberghe, Rik, de Mendonça, Alexandre, Tagliavini, Fabrizio, Santana, Isabel, Ducharme, Simon, Butler, Chris, Gerhard, Alex, Levin, Johannes, Danek, Adrian, Otto, Markus, Warren, Jason D., and Rohrer, Jonathan D.

Published
2020
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34. Age at symptom onset and death and disease duration in genetic frontotemporal dementia: an international retrospective cohort study

Author

Heller, Carolin, Convery, Rhian S, Woollacott, Ione OC, Shafei, Rachelle M, Graff-Radford, Jonathan, Jones, David T, Dheel, Christina M, Savica, Rodolfo, Lapid, Maria I, Baker, Matt, Fields, Julie A, Gavrilova, Ralitza, Domoto-Reilly, Kimiko, Poos, Jackie M, Van der Ende, Emma L, Panman, Jessica L, Donker Kaat, Laura, Seelaar, Harro, Richardson, Anna, Frisoni, Giovanni, Mega, Anna, Fostinelli, Silvia, Chiang, Huei-Hsin, Alberici, Antonella, Arighi, Andrea, Fenoglio, Chiara, Heuer, Hilary, Miller, Bruce, Karydas, Anna, Fong, Jamie, João Leitão, Maria, Santiago, Beatriz, Duro, Diana, Ferreira, Carlos, Gabilondo, Alazne, De Arriba, Maria, Tainta, Mikel, Zulaica, Miren, Ferreira, Catarina, Semler, Elisa, Ludolph, Albert, Landwehrmeyer, Bernhard, Volk, Alexander E, Miltenberger, Gabriel, Verdelho, Ana, Afonso, Sónia, Tartaglia, Maria Carmela, Freedman, Morris, Rogaeva, Ekaterina, Ferrari, Camilla, Piaceri, Irene, Bessi, Valentina, Lombardi, Gemma, St-Onge, Frédéric, Doré, Marie-Claire, Bruffaerts, Rose, Vandenbulcke, Mathieu, Van den Stock, Jan, Mesulam, M Marsel, Bigio, Eileen, Koros, Christos, Papatriantafyllou, John, Kroupis, Christos, Stefanis, Leonidas, Shoesmith, Christien, Robertson, Erik, Coppola, Giovanni, Da Silva Ramos, Eliana Marisa, Geschwind, Daniel, Moore, Katrina M, Nicholas, Jennifer, Grossman, Murray, McMillan, Corey T, Irwin, David J, Massimo, Lauren, Van Deerlin, Vivianna M, Warren, Jason D, Fox, Nick C, Rossor, Martin N, Mead, Simon, Bocchetta, Martina, Boeve, Bradley F, Knopman, David S, Graff-Radford, Neill R, Forsberg, Leah K, Rademakers, Rosa, Wszolek, Zbigniew K, van Swieten, John C, Jiskoot, Lize C, Meeter, Lieke H, Dopper, Elise GP, Papma, Janne M, Snowden, Julie S, Saxon, Jennifer, Jones, Matthew, Pickering-Brown, Stuart, Le Ber, Isabelle, Camuzat, Agnès, Brice, Alexis, Caroppo, Paola, Ghidoni, Roberta, Pievani, Michela, Benussi, Luisa, Binetti, Giuliano, Dickerson, Bradford C, Lucente, Diane, Krivensky, Samantha, Graff, Caroline, Öijerstedt, Linn, Fallström, Marie, Thonberg, Håkan, Ghoshal, Nupur, Morris, John C, Borroni, Barbara, Benussi, Alberto, Padovani, Alessandro, Galimberti, Daniela, Scarpini, Elio, Fumagalli, Giorgio G, Mackenzie, Ian R, Hsiung, Ging-Yuek R, Sengdy, Pheth, Boxer, Adam L, Rosen, Howie, Taylor, Joanne B, Synofzik, Matthis, Wilke, Carlo, Sulzer, Patricia, Hodges, John R, Halliday, Glenda, Kwok, John, Sanchez-Valle, Raquel, Lladó, Albert, Borrego-Ecija, Sergi, Santana, Isabel, Almeida, Maria Rosário, Tábuas-Pereira, Miguel, Moreno, Fermin, Barandiaran, Myriam, Indakoetxea, Begoña, Levin, Johannes, Danek, Adrian, Rowe, James B, Cope, Thomas E, Otto, Markus, Anderl-Straub, Sarah, de Mendonça, Alexandre, Maruta, Carolina, Masellis, Mario, Black, Sandra E, Couratier, Philippe, Lautrette, Geraldine, Huey, Edward D, Sorbi, Sandro, Nacmias, Benedetta, Laforce, Robert, Jr, Tremblay, Marie-Pier L, Vandenberghe, Rik, Damme, Philip Van, Rogalski, Emily J, Weintraub, Sandra, Gerhard, Alexander, Onyike, Chiadi U, Ducharme, Simon, Papageorgiou, Sokratis G, Ng, Adeline Su Lyn, Brodtmann, Amy, Finger, Elizabeth, Guerreiro, Rita, Bras, Jose, and Rohrer, Jonathan D

Published
2020
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37. Enhancing Cognitive Performance Prediction through White Matter Hyperintensity Connectivity Assessment: A Multicenter Lesion Network Mapping Analysis of 3,485 Memory Clinic Patients

Author

Opleiding Neurologie, Beeldverwerking ISI, Brain, Cancer, Projectafdeling VCI, Neurologen, MS Geriatrie, Circulatory Health, Petersen, Marvin, Coenen, Mirthe, DeCarli, Charles, De Luca, Alberto, van der Lelij, Ewoud, Barkhof, Frederik, Benke, Thomas, Chen, Christopher P L H, Dal-Bianco, Peter, Dewenter, Anna, Duering, Marco, Enzinger, Christian, Ewers, Michael, Exalto, Lieza G, Fletcher, Evan F, Franzmeier, Nicolai, Hilal, Saima, Hofer, Edith, Koek, Huiberdina L, Maier, Andrea B, Maillard, Pauline M, McCreary, Cheryl R, Papma, Janne M, Pijnenburg, Yolande A L, Schmidt, Reinhold, Smith, Eric E, Steketee, Rebecca M E, van den Berg, Esther, van der Flier, Wiesje M, Venkatraghavan, Vikram, Venketasubramanian, Narayanaswamy, Vernooij, Meike W, Wolters, Frank J, Xu, Xin, Horn, Andreas, Patil, Kaustubh R, Eickhoff, Simon B, Thomalla, Götz, Biesbroek, J Matthijs, Biessels, Geert Jan, Cheng, Bastian, Alzheimer's Disease Neuroimaging Initiative, Opleiding Neurologie, Beeldverwerking ISI, Brain, Cancer, Projectafdeling VCI, Neurologen, MS Geriatrie, Circulatory Health, Petersen, Marvin, Coenen, Mirthe, DeCarli, Charles, De Luca, Alberto, van der Lelij, Ewoud, Barkhof, Frederik, Benke, Thomas, Chen, Christopher P L H, Dal-Bianco, Peter, Dewenter, Anna, Duering, Marco, Enzinger, Christian, Ewers, Michael, Exalto, Lieza G, Fletcher, Evan F, Franzmeier, Nicolai, Hilal, Saima, Hofer, Edith, Koek, Huiberdina L, Maier, Andrea B, Maillard, Pauline M, McCreary, Cheryl R, Papma, Janne M, Pijnenburg, Yolande A L, Schmidt, Reinhold, Smith, Eric E, Steketee, Rebecca M E, van den Berg, Esther, van der Flier, Wiesje M, Venkatraghavan, Vikram, Venketasubramanian, Narayanaswamy, Vernooij, Meike W, Wolters, Frank J, Xu, Xin, Horn, Andreas, Patil, Kaustubh R, Eickhoff, Simon B, Thomalla, Götz, Biesbroek, J Matthijs, Biessels, Geert Jan, Cheng, Bastian, and Alzheimer's Disease Neuroimaging Initiative

Published
2024

38. Long Non-Coding RNA Profile in Genetic Symptomatic and Presymptomatic Frontotemporal Dementia:A GENFI Study

Author

Serpente, Maria, Fenoglio, Chiara, 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., Le Ber, Isabelle, Finger, Elizabeth, Tartaglia, Maria Carmela, Masellis, Mario, Rowe, James B., Synofzik, Matthis, Moreno, Fermin, Borroni, Barbara, Rohrer, Jonathan D., Arighi, Andrea, Galimberti, Daniela, Alberici, Antonella, Afonso, Sónia, Alves, Patricia, Anderl-Straub, Sarah, De Houwer, Julie, Giannini, Lucia, Papma, Janne M., Poos, Jackie, Van Minkelen, Rick, Serpente, Maria, Fenoglio, Chiara, 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., Le Ber, Isabelle, Finger, Elizabeth, Tartaglia, Maria Carmela, Masellis, Mario, Rowe, James B., Synofzik, Matthis, Moreno, Fermin, Borroni, Barbara, Rohrer, Jonathan D., Arighi, Andrea, Galimberti, Daniela, Alberici, Antonella, Afonso, Sónia, Alves, Patricia, Anderl-Straub, Sarah, De Houwer, Julie, Giannini, Lucia, Papma, Janne M., Poos, Jackie, and Van Minkelen, Rick

Abstract

Background: Long non-coding RNAs (lncRNAs) play crucial roles in gene regulation and are implicated in neurodegenerative diseases, including frontotemporal dementia (FTD). However, their expression patterns and potential as biomarkers in genetic FTD involving Chromosome 9 Open Reading Frame (C9ORF72), Microtubule Associated Protein Tau (MAPT), and Progranulin (GRN) genes are not well understood. Objective: This study aimed to profile the expression levels of lncRNAs in peripheral blood mononuclear cells collected within the GENetic Frontotemporal dementia Initiative (GENFI). Methods: Fifty-three lncRNAs were analyzed with the OpenArray Custom panel, in 131 patients with mutations in C9ORF72, MAPT, and GRN, including 68 symptomatic mutation carriers (SMC) and 63 presymptomatic mutation carriers (PMC), compared with 40 non-carrier controls (NC). Results: Thirty-eight lncRNAs were detectable; the relative expression of NEAT1 and NORAD was significantly higher in C9ORF72 SMC as compared with NC. GAS5 expression was instead significantly lower in the GRN group versus NC. MAPT carriers showed no significant deregulations. No significant differences were observed in PMC. Disease duration did not correlate with lncRNA expression. Conclusions: NEAT1 and NORAD are upregulated in C9ORF72 SMC and GAS5 levels are downregulated in GRN SMC, underlining lncRNAs' relevance in FTD and their potential for biomarker development. Further validation and mechanistic studies are crucial for clinical implications.

Published
2024

39. Small vessel disease burden and functional brain connectivity in mild cognitive impairment

Author

Neurologen, Brain, Circulatory Health, Marcolini, Sofia, Mondragón, Jaime D, Bron, Esther E, Biessels, Geert J, Claassen, Jurgen A H R, Papma, Janne M, Middelkoop, Huub, Dierckx, Rudi A J O, Borra, Ronald J H, Ramakers, Inez H G B, van der Flier, Wiesje M, Maurits, Natasha M, De Deyn, Peter P, Neurologen, Brain, Circulatory Health, Marcolini, Sofia, Mondragón, Jaime D, Bron, Esther E, Biessels, Geert J, Claassen, Jurgen A H R, Papma, Janne M, Middelkoop, Huub, Dierckx, Rudi A J O, Borra, Ronald J H, Ramakers, Inez H G B, van der Flier, Wiesje M, Maurits, Natasha M, and De Deyn, Peter P

Published
2024

40. Extending the phenotypic spectrum assessed by the CDR plus NACC FTLD in genetic frontotemporal dementia

Author

Samra, Kiran, Peakman, Georgia, MacDougall, Amy M., Bouzigues, Arabella, 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, 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, Ber, Isabelle Le, Tiraboschi, Pietro, Santana, Isabel, Pasquier, Florence, Levin, Johannes, Otto, Markus, Sorbi, Sandro, Rohrer, Jonathan D., Russell, Lucy L., Bocchetta, Martina, Cash, David, Thomas, David L., 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, Fede, Giuseppe Di, Caroppo, Paola, 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, Poos, Jackie, Papma, Janne M., Giannini, Lucia, van Minkelen, Rick, Pijnenburg, Yolande, Nacmias, Benedetta, Ferrari, Camilla, Polito, Cristina, Lombardi, Gemma, Bessi, Valentina, Veldsman, Michele, Andersson, Christin, Thonberg, Hakan, Öijerstedt, Linn, Jelic, Vesna, Thompson, Paul, Langheinrich, Tobias, Lladó, Albert, Antonell, Anna, Olives, Jaume, Balasa, Mircea, Bargalló, Nuria, Borrego-Ecija, Sergi, Verdelho, Ana, Maruta, Carolina, Ferreira, Catarina B., Miltenberger, Gabriel, do Couto, Frederico Simões, Gabilondo, Alazne, Gorostidi, Ana, Villanua, Jorge, Cañada, Marta, Tainta, Mikel, Zulaica, Miren, Barandiaran, Myriam, Alves, Patricia, Bender, Benjamin, Wilke, Carlo, Graf, Lisa, Vogels, Annick, Vandenbulcke, Mathieu, Van Damme, Philip, Bruffaerts, Rose, Poesen, Koen, Rosa-Neto, Pedro, Gauthier, Serge, Camuzat, Agnès, Brice, Alexis, Bertrand, Anne, Funkiewiez, Aurélie, Rinaldi, Daisy, Saracino, Dario, Colliot, Olivier, Sayah, Sabrina, Prix, Catharina, Wlasich, Elisabeth, Wagemann, Olivia, Loosli, Sandra, Schönecker, Sonja, Hoegen, Tobias, Lombardi, Jolina, Anderl-Straub, Sarah, Rollin, Adeline, Kuchcinski, Gregory, Bertoux, Maxime, Lebouvier, Thibaud, Deramecourt, Vincent, Santiago, Beatriz, Duro, Diana, Leitão, Maria João, Almeida, Maria Rosario, Tábuas-Pereira, Miguel, Afonso, Sónia, Samra, Kiran, Peakman, Georgia, MacDougall, Amy M., Bouzigues, Arabella, 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, 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, Ber, Isabelle Le, Tiraboschi, Pietro, Santana, Isabel, Pasquier, Florence, Levin, Johannes, Otto, Markus, Sorbi, Sandro, Rohrer, Jonathan D., Russell, Lucy L., Bocchetta, Martina, Cash, David, Thomas, David L., 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, Fede, Giuseppe Di, Caroppo, Paola, 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, Poos, Jackie, Papma, Janne M., Giannini, Lucia, van Minkelen, Rick, Pijnenburg, Yolande, Nacmias, Benedetta, Ferrari, Camilla, Polito, Cristina, Lombardi, Gemma, Bessi, Valentina, Veldsman, Michele, Andersson, Christin, Thonberg, Hakan, Öijerstedt, Linn, Jelic, Vesna, Thompson, Paul, Langheinrich, Tobias, Lladó, Albert, Antonell, Anna, Olives, Jaume, Balasa, Mircea, Bargalló, Nuria, Borrego-Ecija, Sergi, Verdelho, Ana, Maruta, Carolina, Ferreira, Catarina B., Miltenberger, Gabriel, do Couto, Frederico Simões, Gabilondo, Alazne, Gorostidi, Ana, Villanua, Jorge, Cañada, Marta, Tainta, Mikel, Zulaica, Miren, Barandiaran, Myriam, Alves, Patricia, Bender, Benjamin, Wilke, Carlo, Graf, Lisa, Vogels, Annick, Vandenbulcke, Mathieu, Van Damme, Philip, Bruffaerts, Rose, Poesen, Koen, Rosa-Neto, Pedro, Gauthier, Serge, Camuzat, Agnès, Brice, Alexis, Bertrand, Anne, Funkiewiez, Aurélie, Rinaldi, Daisy, Saracino, Dario, Colliot, Olivier, Sayah, Sabrina, Prix, Catharina, Wlasich, Elisabeth, Wagemann, Olivia, Loosli, Sandra, Schönecker, Sonja, Hoegen, Tobias, Lombardi, Jolina, Anderl-Straub, Sarah, Rollin, Adeline, Kuchcinski, Gregory, Bertoux, Maxime, Lebouvier, Thibaud, Deramecourt, Vincent, Santiago, Beatriz, Duro, Diana, Leitão, Maria João, Almeida, Maria Rosario, Tábuas-Pereira, Miguel, and Afonso, Sónia

Abstract

INTRODUCTION: We aimed to expand the range of the frontotemporal dementia (FTD) phenotypes assessed by the Clinical Dementia Rating Dementia Staging Instrument plus National Alzheimer's Coordinating Center Behavior and Language Domains (CDR plus NACC FTLD). METHODS: Neuropsychiatric and motor domains were added to the standard CDR plus NACC FTLD generating a new CDR plus NACC FTLD-NM scale. This was assessed in 522 mutation carriers and 310 mutation-negative controls from the Genetic Frontotemporal dementia Initiative (GENFI). RESULTS: The new scale led to higher global severity scores than the CDR plus NACC FTLD: 1.4% of participants were now considered prodromal rather than asymptomatic, while 1.3% were now considered symptomatic rather than asymptomatic or prodromal. No participants with a clinical diagnosis of an FTD spectrum disorder were classified as asymptomatic using the new scales. DISCUSSION: Adding new domains to the CDR plus NACC FTLD leads to a scale that encompasses the wider phenotypic spectrum of FTD with further work needed to validate its use more widely. Highlights: The new Clinical Dementia Rating Dementia Staging Instrument plus National Alzheimer's Coordinating Center Behavior and Language Domains neuropsychiatric and motor (CDR plus NACC FTLD-NM) rating scale was significantly positively correlated with the original CDR plus NACC FTLD and negatively correlated with the FTD Rating Scale (FRS). No participants with a clinical diagnosis in the frontotemporal dementia spectrum were classified as asymptomatic with the new CDR plus NACC FTLD-NM rating scale. Individuals had higher global severity scores with the addition of the neuropsychiatric and motor domains. A receiver operating characteristic analysis of symptomatic diagnosis showed nominally higher areas under the curve for the new scales.

Published
2024

41. Serum neurofilament light chain in genetic frontotemporal dementia: a longitudinal, multicentre cohort study

Author

Rossor, Martin N., Warren, Jason D., Fox, Nick C., Woollacott, Ione O.C., Shafei, Rachelle, Greaves, Caroline, Guerreiro, Rita, Bras, Jose, Thomas, David L., Nicholas, Jennifer, Mead, Simon, van Minkelen, Rick, Barandiaran, Myriam, Indakoetxea, Begoña, Gabilondo, Alazne, Tainta, Mikel, de Arriba, Maria, Gorostidi, Ana, Zulaica, Miren, Villanua, Jorge, Diaz, Zigor, Borrego-Ecija, Sergi, Olives, Jaume, Lladó, Albert, Balasa, Mircea, Antonell, Anna, Bargallo, Nuria, Premi, Enrico, Cosseddu, Maura, Gazzina, Stefano, Padovani, Alessandro, Gasparotti, Roberto, Archetti, Silvana, Black, Sandra, Mitchell, Sara, Rogaeva, Ekaterina, Freedman, Morris, Keren, Ron, Tang-Wai, David, Öijerstedt, Linn, Andersson, Christin, Jelic, Vesna, Thonberg, Hakan, Arighi, Andrea, Fenoglio, Chiara, Scarpini, Elio, Fumagalli, Giorgio, Cope, Thomas, Timberlake, Carolyn, Rittman, Timothy, Shoesmith, Christen, Bartha, Robart, Rademakers, Rosa, Wilke, Carlo, Karnath, Hans-Otto, Bender, Benjamin, Bruffaerts, Rose, Vandamme, Philip, Vandenbulcke, Mathieu, Ferreira, Catarina B., Miltenberger, Gabriel, Maruta, Carolina, Verdelho, Ana, Afonso, Sónia, Taipa, Ricardo, Caroppo, Paola, Di Fede, Giuseppe, Giaccone, Giorgio, Prioni, Sara, Redaelli, Veronica, Rossi, Giacomina, Tiraboschi, Pietro, Duro, Diana, Rosario Almeida, Maria, Castelo-Branco, Miguel, João Leitão, Maria, Tabuas-Pereira, Miguel, Santiago, Beatriz, Gauthier, Serge, Schonecker, Sonja, Semler, Elisa, Anderl-Straub, Sarah, Benussi, Luisa, Binetti, Giuliano, Ghidoni, Roberta, Pievani, Michela, Lombardi, Gemma, Nacmias, Benedetta, Ferrari, Camilla, Bessi, Valentina, van der Ende, Emma L, Meeter, Lieke H, Poos, Jackie M, Panman, Jessica L, Jiskoot, Lize C, Dopper, Elise G P, Papma, Janne M, de Jong, Frank Jan, Verberk, Inge M W, Teunissen, Charlotte, Rizopoulos, Dimitris, Heller, Carolin, Convery, Rhian S, Moore, Katrina M, Bocchetta, Martina, Neason, Mollie, Cash, David M, Borroni, Barbara, Galimberti, Daniela, Sanchez-Valle, Raquel, Laforce, Robert, Jr, Moreno, Fermin, Synofzik, Matthis, Graff, Caroline, Masellis, Mario, Carmela Tartaglia, Maria, Rowe, James B, Vandenberghe, Rik, Finger, Elizabeth, Tagliavini, Fabrizio, de Mendonça, Alexandre, Santana, Isabel, Butler, Chris, Ducharme, Simon, Gerhard, Alex, Danek, Adrian, Levin, Johannes, Otto, Markus, Frisoni, Giovanni B, Cappa, Stefano, Pijnenburg, Yolande A L, Rohrer, Jonathan D, and van Swieten, John C

Published
2019
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43. Functional network resilience to pathology in presymptomatic genetic frontotemporal dementia

Author

Afonso, Sónia, Almeida, Maria Rosario, Anderl-Straub, Sarah, Andersson, Christin, Antonell, Anna, Archetti, Silvana, Arighi, Andrea, Balasa, Mircea, Barandiaran, Myriam, Bargalló, Nuria, Bartha, Robart, Bender, Benjamin, Benussi, Luisa, Bessi, Valentina, Binetti, Giuliano, Black, Sandra, Bocchetta, Martina, Borrego-Ecija, Sergi, Bras, Jose, Bruffaerts, Rose, Caroppo, Paola, Cash, David, Castelo-Branco, Miguel, Convery, Rhian, Cope, Thomas, Cosseddu, Maura, de Arriba, María, Di Fede, Giuseppe, Díaz, Zigor, Dick, Katrina M., Duro, Diana, Fenoglio, Chiara, Ferrari, Camilla, Ferreira, Catarina B., Flanagana, Toby, Fox, Nick, Freedman, Morris, Fumagalli, Giorgio, Gabilondo, Alazne, Gasparotti, Roberto, Gauthier, Serge, Gazzina, Stefano, Ghidoni, Roberta, Giaccone, Giorgio, Gorostidi, Ana, Greaves, Caroline, Guerreiro, Rita, Heller, Carolin, Hoegen, Tobias, Indakoetxea, Begoña, Jelic, Vesna, Jiskoot, Lize, Karnath, Hans-Otto, Keren, Ron, Leitão, Maria João, Lladó, Albert, Lombardi, Gemma, Loosli, Sandra, Maruta, Carolina, Mead, Simon, Meeter, Lieke, Miltenberger, Gabriel, van Minkelen, Rick, Mitchell, Sara, Nacmias, Benedetta, Neason, Mollie, Nicholas, Jennifer, Öijerstedt, Linn, Olives, Jaume, Padovani, Alessandro, Panman, Jessica, Papma, Janne, Pievani, Michela, Pijnenburg, Yolande, Premi, Enrico, Prioni, Sara, Prix, Catharina, Rademakers, Rosa, Redaelli, Veronica, Rogaeva, Ekaterina, Rosa-Neto, Pedro, Rossi, Giacomina, Rosser, Martin, Santiago, Beatriz, Scarpini, Elio, Schönecker, Sonja, Semler, Elisa, Shafei, Rachelle, Shoesmith, Christen, Tábuas-Pereira, Miguel, Tainta, Mikel, Taipa, Ricardo, Tang-Wai, David, Thomas, David L., Thonberg, Hakan, Timberlake, Carolyn, Tiraboschi, Pietro, Vandamme, Philip, Vandenbulcke, Mathieu, Veldsman, Michele, Verdelho, Ana, Villanua, Jorge, Warren, Jason, Wilke, Carlo, Woollacott, Ione, Wlasich, Elisabeth, Zetterberg, Henrik, Zulaica, Miren, Rittman, Timothy, Borchert, Robin, Jones, Simon, van Swieten, John, Borroni, Barbara, Galimberti, Daniela, Masellis, Mario, Tartaglia, Maria Carmela, Graff, Caroline, Tagliavini, Fabrizio, Frisoni, Giovanni B., Laforce, Robert, Jr., Finger, Elizabeth, Mendonça, Alexandre, Sorbi, Sandro, Rohrer, Jonathan D., and Rowe, James B.

Published
2019
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44. The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint

Author

Almeida, Maria Rosario, Anderl-Straub, Sarah, Andersson, Christin, Antonell, Anna, Arighi, Andrea, Balasa, Mircea, Barandiaran, Myriam, Bargalló, Nuria, Bartha, Robart, Bender, Benjamin, Benussi, Luisa, Binetti, Giuliano, Black, Sandra, Bocchetta, Martina, Borrego-Ecija, Sergi, Bras, Jose, Bruffaerts, Rose, Caroppo, Paola, Cash, David, Castelo-Branco, Miguel, Convery, Rhian, Cope, Thomas, de Arriba, María, Di Fede, Giuseppe, Díaz, Zigor, Dick, Katrina M., Duro, Diana, Fenoglio, Chiara, Ferreira, Carlos, Ferreira, Catarina B., Flanagan, Toby, Fox, Nick, Freedman, Morris, Fumagalli, Giorgio, Gabilondo, Alazne, Gauthier, Serge, Ghidoni, Roberta, Giaccone, Giorgio, Gorostidi, Ana, Greaves, Caroline, Guerreiro, Rita, Heller, Carolin, Hoegen, Tobias, Indakoetxea, Begoña, Jelic, Vesna, Jiskoot, Lize, Karnath, Hans-Otto, Keren, Ron, Leitão, Maria João, Lladó, Albert, Lombardi, Gemma, Loosli, Sandra, Maruta, Carolina, Mead, Simon, Meeter, Lieke, Miltenberger, Gabriel, van Minkelen, Rick, Mitchell, Sara, Nacmias, Benedetta, Neason, Mollie, Nicholas, Jennifer, Öijerstedt, Linn, Olives, Jaume, Panman, Jessica, Papma, Janne, Patzig, Maximilian, Pievani, Michela, Prioni, Sara, Prix, Catharina, Rademakers, Rosa, Redaelli, Veronica, Rittman, Tim, Rogaeva, Ekaterina, Rosa-Neto, Pedro, Rossi, Giacomina, Rossor, Martin, Santiago, Beatriz, Scarpini, Elio, Semler, Elisa, Shafei, Rachelle, Shoesmith, Christen, Tábuas-Pereira, Miguel, Tainta, Mikel, Tang-Wai, David, Thomas, David L., Thonberg, Hakan, Timberlake, Carolyn, Tiraboschi, Pietro, Vandamme, Philip, Vandenbulcke, Mathieu, Veldsman, Michele, Verdelho, Ana, Villanua, Jorge, Warren, Jason, Wilke, Carlo, Zetterberg, Henrik, Zulaica, Miren, Premi, Enrico, Calhoun, Vince D., Diano, Matteo, Gazzina, Stefano, Cosseddu, Maura, Alberici, Antonella, Archetti, Silvana, Paternicò, Donata, Gasparotti, Roberto, van Swieten, John, Galimberti, Daniela, Sanchez-Valle, Raquel, Laforce, Robert, Jr., Moreno, Fermin, Synofzik, Matthis, Graff, Caroline, Masellis, Mario, Tartaglia, Maria Carmela, Rowe, James, Vandenberghe, Rik, Finger, Elizabeth, Tagliavini, Fabrizio, de Mendonça, Alexandre, Santana, Isabel, Butler, Chris, Ducharme, Simon, Gerhard, Alex, Danek, Adrian, Levin, Johannes, Otto, Markus, Frisoni, Giovanni, Cappa, Stefano, Sorbi, Sandro, Padovani, Alessandro, Rohrer, Jonathan D., and Borroni, Barbara

Published
2019
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46. White matter hyperintensities in progranulin-associated frontotemporal dementia: A longitudinal GENFI study

Author

Rossor, Martin N., Warren, Jason D., Fox, Nick C., Guerreiro, Rita, Bras, Jose, Thomas, David L., Nicholas, Jennifer, Mead, Simon, Jiskoot, Lize, Meeter, Lieke, Panman, Jessica, Papma, Janne, van Minkelen, Rick, Pijnenburg, Yolanda, Barandiaran, Myriam, Indakoetxea, Begoña, Gabilondo, Alazne, Tainta, Mikel, Arriba, Maria de, Gorostidi, Ana, Zulaica, Miren, Villanua, Jorge, Diaz, Zigor, Borrego-Ecija, Sergi, Olives, Jaume, Lladó, Albert, Balasa, Mircea, Antonell, Anna, Bargallo, Nuria, Premi, Enrico, Cosseddu, Maura, Gazzina, Stefano, Padovani, Alessandro, Gasparotti, Roberto, Archetti, Silvana, Black, Sandra, Mitchell, Sara, Rogaeva, Ekaterina, Freedman, Morris, Keren, Ron, Tang-Wai, David, Öijerstedt, Linn, Andersson, Christin, Jelic, Vesna, Thonberg, Hakan, Arighi, Andrea, Fenoglio, Chiara, Scarpini, Elio, Fumagalli, Giorgio, Cope, Thomas, Timberlake, Carolyn, Rittman, Timothy, Shoesmith, Christen, Bartha, Robart, Rademakers, Rosa, Wilke, Carlo, Karnarth, Hans-Otto, Bender, Benjamin, Bruffaerts, Rose, Vandamme, Philip, Vandenbulcke, Mathieu, Ferreira, Catarina B., Miltenberger, Gabriel, Maruta, Carolina, Verdelho, Ana, Afonso, Sónia, Taipa, Ricardo, Caroppo, Paola, Di Fede, Giuseppe, Giaccone, Giorgio, Prioni, Sara, Redaelli, Veronica, Rossi, Giacomina, Tiraboschi, Pietro, Duro, Diana, Almeida, Maria Rosario, Castelo-Branco, Miguel, Leitão, Maria João, Tabuas-Pereira, Miguel, Santiago, Beatriz, Gauthier, Serge, Rosa-Neto, Pedro, Veldsman, Michele, Flanagan, Toby, Prix, Catharina, Hoegen, Tobias, Wlasich, Elisabeth, Loosli, Sandra, Schonecker, Sonja, Semler, Elisa, Anderl-Straub, Sarah, Benussi, Luisa, Binetti, Giuliano, Ghidoni, Roberta, Pievani, Michela, Lombardi, Gemma, Nacmias, Benedetta, Ferrari, Camilla, Bessi, Valentina, Sudre, Carole H., Bocchetta, Martina, Heller, Carolin, Convery, Rhian, Neason, Mollie, Moore, Katrina M., Cash, David M., Woollacott, Ione O.C., Foiani, Martha, Heslegrave, Amanda, Shafei, Rachelle, Greaves, Caroline, van Swieten, John, Moreno, Fermin, Sanchez-Valle, Raquel, Borroni, Barbara, Laforce, Robert, Jr, Masellis, Mario, Tartaglia, Maria Carmela, Graff, Caroline, Galimberti, Daniela, Rowe, James B., Finger, Elizabeth, Synofzik, Matthis, Vandenberghe, Rik, de Mendonça, Alexandre, Tagliavini, Fabrizio, Santana, Isabel, Ducharme, Simon, Butler, Chris, Gerhard, Alex, Levin, Johannes, Danek, Adrian, Frisoni, Giovanni B., Sorbi, Sandro, Otto, Markus, Zetterberg, Henrik, Ourselin, Sebastien, Cardoso, M. Jorge, and Rohrer, Jonathan D.

Published
2019
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49. Functional Brain Activation in Mild Cognitive Impairment With Defined Small Vessel Disease Burden

Author

Marcolini, Sofia, primary, Mondragon, Jaime, additional, Ramakers, Inez H.G.B., additional, Biessels, Geert Jan, additional, Claassen, Jurgen A.H.R., additional, Bron, Esther E, additional, Papma, Janne M., additional, van der Flier, Wiesje M., additional, van der Lugt, Aad, additional, Maurits, Natasha M., additional, and De Deyn, Peter Paul, additional

Published
2023
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50. Spatial distributions of white matter hyperintensities on brain MRI: a pooled analysis of individual participant data from 11 memory clinic cohorts

Author

Coenen, Mirthe, primary, Jan Biessels, Geert, additional, DeCarli, Charles, additional, Fletcher, Evan F., additional, Maillard, Pauline M., additional, Barkhof, Frederik, additional, Barnes, Josephine, additional, Benke, Thomas, additional, Boomsma, Jooske M.F., additional, P.L.H. Chen, Christopher, additional, Dal-Bianco, Peter, additional, Dewenter, Anna, additional, Duering, Marco, additional, Enzinger, Christian, additional, Ewers, Michael, additional, Exalto, Lieza G., additional, Franzmeier, Nicolai, additional, Groeneveld, Onno, additional, Hilal, Saima, additional, Hofer, Edith, additional, Koek, Huiberdina L., additional, Maier, Andrea B., additional, McCreary, Cheryl R., additional, Papma, Janne M., additional, Paterson, Ross W., additional, Pijnenburg, Yolande A.L., additional, Rubinski, Anna, additional, Schmidt, Reinhold, additional, Schott, Jonathan M., additional, Slattery, Catherine F., additional, Smith, Eric E., additional, Sudre, Carole H., additional, Steketee, Rebecca M.E., additional, van den Berg, Esther, additional, van der Flier, Wiesje M., additional, Venketasubramanian, Narayanaswamy, additional, Vernooij, Meike W., additional, Wolters, Frank J., additional, Xin, Xu, additional, Matthijs Biesbroek, J., additional, and Kuijf, Hugo J., additional

Published
2023
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