A longitudinal study on resting state functional connectivity in behavioral variant frontotemporal dementia and Alzheimer’s disease
Open accessAbstract
Background/Objective: Alzheimer’s disease (AD) and behavioral variant frontotemporal dementia (bvFTD) are the most common types of early-onset dementia. We applied longitudinal resting state functional magnetic resonance imaging (fMRI) to delineate functional brain connections relevant for disease progression and diagnostic accuracy. Methods: We used two-center resting state fMRI data of 20 AD patients (65.1±8.0 years), 12 bvFTD patients (64.7±5.4 years), and 22 control subjects (63.8±5.0 years) at baseline and 1.8-year follow-up. We used whole-network and voxel-based network-to-region analyses to study group differences in functional connectivity at baseline and follow-up, and longitudinal changes in connectivity within and between groups. Results: At baseline, connectivity between paracingulate gyrus and executive control network, between cuneal cortex and medial visual network, and between paracingulate gyrus and salience network was higher in AD compared with controls. These differences were also present after 1.8 years. At follow-up, connectivity between angular gyrus and right frontoparietal network, and between paracingulate gyrus and default mode network was lower in bvFTD compared with controls, and lower compared with AD between anterior cingulate gyrus and executive control network, and between lateral occipital cortex and medial visual network. Over time, connectivity decreased in AD between precuneus and right frontoparietal network and in bvFTD between inferior frontal gyrus and left frontoparietal network. Longitudinal changes in connectivity between supramarginal gyrus and right frontoparietal network differ between both patient groups and controls. Conclusion: We found disease-specific brain regions with longitudinal connectivity changes. This suggests the potential of longitudinal resting state fMRI to delineate regions relevant for disease progression and for diagnostic accuracy, although no group differences in longitudinal changes in the direct comparison of AD and bvFTD were found.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The text we found for this paper looks like another document, so the self-check wasn’t run.
Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282 · see citing works
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915 · see citing works
Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630 · see citing works
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888 · see citing works
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496 · see citing works
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676 · see citing works
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553 · see citing works
Zhang, Y., Brady, M., & Smith, S. M. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906424 · Cited by 7,628 · see citing works
Dissociable intrinsic connectivity networks for salience processing and executive control
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5587-06.2007 · Cited by 7,426 · see citing works
Nonparametric permutation tests for functional neuroimaging: A primer with examples
Nichols, T. E., & Holmes, A. P. (2002) · Human Brain Mapping · doi:10.1002/hbm.1058 · Cited by 6,256 · see citing works
SMITH, S., & NICHOLS, T. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.061 · Cited by 5,250 · see citing works
Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia
Rascovsky, K., Hodges, J. R., Knopman, D., Mendez, M. F., Kramer, J. H., Neuhaus, J., van Swieten, J. C., Seelaar, H., Dopper, E. G. P., Onyike, C. U., et al. (2011) · Brain · doi:10.1093/brain/awr179 · Cited by 5,221 · see citing works
Self-citationHypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806 · see citing works
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561 · see citing works
Consistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326 · see citing works
Self-citationThe FAB: A frontal assessment battery at bedside
Dubois, B., Slachevsky, A., Litvan, I., & Pillon, B. (2000) · Neurology · doi:10.1212/wnl.55.11.1621 · Cited by 3,913 · see citing works
Greicius, M. D., Srivastava, G., Reiss, A. L., & Menon, V. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308627101 · Cited by 3,684 · see citing works
Accurate and robust brain image alignment using boundary-based registration
Greve, D. N., & Fischl, B. R. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.060 · Cited by 3,553 · see citing works
Investigations into resting-state connectivity using independent component analysis
Beckmann, C. F., DeLuca, M., Devlin, J. T., & Smith, S. M. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1634 · Cited by 3,398 · see citing works
Probabilistic Independent Component Analysis for Functional Magnetic Resonance Imaging
Beckmann, C. F., & Smith, S. M. (2004) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2003.822821 · Cited by 2,707 · see citing works
Neurodegenerative Diseases Target Large-Scale Human Brain Networks
Seeley, W. W., Crawford, R. K., Zhou, J., Miller, B. L., & Greicius, M. D. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.024 · Cited by 2,350 · see citing works
Buckner, R. L., Snyder, A. Z., Shannon, B. J., LaRossa, G., Sachs, R., Fotenos, A. F., Sheline, Y. I., Klunk, W. E., Mathis, C. A., Morris, J. C., et al. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2177-05.2005 · Cited by 2,140 · see citing works
Salimi-Khorshidi, G., Douaud, G., Beckmann, C. F., Glasser, M. F., Griffanti, L., & Smith, S. M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.046 · Cited by 1,770 · see citing works
Distinct patterns of brain activity in young carriers of the <i>APOE</i> -ε4 allele
Filippini, N., MacIntosh, B. J., Hough, M. G., Goodwin, G. M., Frisoni, G. B., Smith, S. M., Matthews, P. M., Beckmann, C. F., & Mackay, C. E. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811879106 · Cited by 1,613 · see citing works
The prevalence of frontotemporal dementia
Ratnavalli, E., Brayne, C., Dawson, K., & Hodges, J. R. (2002) · Neurology · doi:10.1212/wnl.58.11.1615 · Cited by 1,151 · see citing works
Zhou, J., Greicius, M. D., Gennatas, E. D., Growdon, M. E., Jang, J. Y., Rabinovici, G. D., Kramer, J. H., Weiner, M., Miller, B. L., & Seeley, W. W. (2010) · Brain · doi:10.1093/brain/awq075 · Cited by 1,016 · see citing works
Advances and pitfalls in the analysis and interpretation of resting-state FMRI data
Cole, D. M. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00008 · Cited by 950 · see citing works
Patterns of brain atrophy in frontotemporal dementia and semantic dementia
Rosen, H. J., Gorno–Tempini, M. L., Goldman, W. P., Perry, R. J., Schuff, N., Weiner, M., Feiwell, R., Kramer, J. H., & Miller, B. L. (2002) · Neurology · doi:10.1212/wnl.58.2.198 · Cited by 841 · see citing works
Altered functional connectivity in early Alzheimer's disease: A resting‐state fMRI study
Wang, K., Liang, M., Wang, L. Y., Tian, L., Zhang, X., Li, K., & Jiang, T. (2006) · Human Brain Mapping · doi:10.1002/hbm.20324 · Cited by 727 · see citing works
Yong He, A., Wang, L. Y., Zang, Y., Tian, L., Zhang, X., Li, K., & Jiang, T. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.11.042 · Cited by 542 · see citing works
Right supramarginal gyrus is crucial to overcome emotional egocentricity bias in social judgments
Silani, G., Lamm, C., Ruff, C. C., & Singer, T. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.1488-13.2013 · Cited by 511 · see citing works
Frontal Paralimbic Network Atrophy in Very Mild Behavioral Variant Frontotemporal Dementia
Seeley, W. W., Crawford, R., Rascovsky, K., Kramer, J. H., Weiner, M., Miller, B. L., & Gorno-Tempini, M. L. (2008) · Archives of Neurology · doi:10.1001/archneurol.2007.38 · Cited by 506 · see citing works
Functional connectivity tracks clinical deterioration in Alzheimer's disease
Damoiseaux, J. S., Prater, K. E., Miller, B. L., & Greicius, M. D. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.06.024 · Cited by 504 · see citing works
Functional network disruption in the degenerative dementias
Pievani, M., de Haan, W., Wu, T., Seeley, W. W., & Frisoni, G. B. (2011) · The Lancet Neurology · doi:10.1016/s1474-4422(11)70158-2 · Cited by 481 · see citing works
Yan, C.-G., Craddock, R. C., Zuo, X.-N., Zang, Y.-F., & Milham, M. P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.081 · Cited by 440 · see citing works
The role of physiological noise in resting-state functional connectivity
Birn, R. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.016 · Cited by 358 · see citing works
Imaging the default mode network in aging and dementia
Hafkemeijer, A., van der Grond, J., & Rombouts, S. A. R. B. (2011) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2011.07.008 · Cited by 310 · see citing works
Self-citationSlachevsky, A., Villalpando, J. M., Sarazin, M., Hahn‐Barma, V., Pillon, B., & Dubois, B. (2004) · Archives of Neurology · doi:10.1001/archneur.61.7.1104 · Cited by 304 · see citing works
Leow, L., de Rugy, A., Loftus, A. M., & Hammond, G. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00055 · Cited by 271 · see citing works
Rabinovici, G. D., Seeley, W. W., Kim, E. J., Gorno‐Tempini, M. L., Rascovsky, K., Pagliaro, T. A., Allison, S. C., Halabi, C., Kramer, J. H., Johnson, J. K., et al. (2007) · American Journal of Alzheimer s Disease & Other Dementias® · doi:10.1177/1533317507308779 · Cited by 256 · see citing works
Staging disease severity in pathologically confirmed cases of frontotemporal dementia
Broe, M., Hodges, J., Schofield, E., Shepherd, C., Kril, J., & Halliday, G. (2003) · Neurology · doi:10.1212/01.wnl.0000052685.09194.39 · Cited by 250 · see citing works
Abnormal network connectivity in frontotemporal dementia: Evidence for prefrontal isolation
Farb, N. A. S., Grady, C. L., Strother, S. C., Tang‐Wai, D. F., Masellis, M., Black, S. E., Freedman, M., Pollock, B. G., Campbell, K. L., Hasher, L., et al. (2012) · Cortex · doi:10.1016/j.cortex.2012.09.008 · Cited by 191 · see citing works
Three-dimensional reconstruction and segmentation of intact Drosophila by ultramicroscopy
Jährling (2010) · Frontiers in Systems Neuroscience · doi:10.3389/neuro.06.001.2010 · Cited by 184 · see citing works
Lillo, P., Mioshi, E., Burrell, J. R., Kiernan, M. C., Hodges, J. R., & Hornberger, M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043993 · Cited by 181 · see citing works
Functional network connectivity in the behavioral variant of frontotemporal dementia
Filippi, M., Agosta, F., Scola, E., Canu, E., Magnani, G., Marcone, A., Valsasina, P., Caso, F., Copetti, M., Comi, G., et al. (2013) · Cortex · doi:10.1016/j.cortex.2012.09.017 · Cited by 177 · see citing works
Increased Functional Connectivity and Brain Atrophy in Elderly with Subjective Memory Complaints
Hafkemeijer, A., Altmann‐Schneider, I., Oleksik, A. M., van de Wiel, L., Middelkoop, H. A. M., van Buchem, M. A., van der Grond, J., & Rombouts, S. A. R. B. (2013) · Brain Connectivity · doi:10.1089/brain.2013.0144 · Cited by 169 · see citing works
Self-citationBrain network connectivity assessed using graph theory in frontotemporal dementia
Agosta, F., Sala, S., Valsasina, P., Meani, A., Canu, E., Magnani, G., Cappa, S. F., Scola, E., Quatto, P., Horsfield, M. A., et al. (2013) · Neurology · doi:10.1212/wnl.0b013e31829a33f8 · Cited by 168 · see citing works
Rates of cerebral atrophy differ in different degenerative pathologies
Whitwell, J. L., Jack, C. R., Parisi, J. E., Knopman, D. S., Boeve, B. F., Petersen, R. C., Ferman, T. J., Dickson, D. W., & Josephs, K. A. (2006) · Brain · doi:10.1093/brain/awm021 · Cited by 167 · see citing works
Kim, D. I., Mathalon, D. H., Ford, J. M., Mannell, M. V., Turner, J. A., Brown, G. G., Belger, A., Gollub, R. L., Lauriello, J., Wible, C. G., et al. (2008) · Schizophrenia Bulletin · doi:10.1093/schbul/sbn133 · Cited by 155 · see citing works
Khalili‐Mahani, N., Zoethout, R. M. W., Beckmann, C. F., Baerends, E., de Kam, M. L., Soeter, R. P., Dahan, A., van Buchem, M. A., van Gerven, J. M. A., & Rombouts, S. A. R. B. (2012) · Human Brain Mapping · doi:10.1002/hbm.21265 · Cited by 114 · see citing works
Self-citationGranulin mutation drives brain damage and reorganization from preclinical to symptomatic FTLD
Borroni, B., Alberici, A., Cercignani, M., Premi, E., Serra, L., Cerini, C., Cosseddu, M., Pettenati, C., Turla, M., Archetti, S., et al. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.10.031 · Cited by 113 · see citing works
Krueger, C. E., Dean, D. L., Rosen, H. J., Halabi, C., Weiner, M. W., Miller, B. L., & Kramer, J. H. (2010) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e3181a6f101 · Cited by 96 · see citing works
Subscores of the FAB differentiate frontotemporal lobar degeneration from AD
Lipton, A. M., Ohman, K. A., Womack, K. B., Hynan, L. S., Ninman, E. T., & Lacritz, L. H. (2005) · Neurology · doi:10.1212/01.wnl.0000174437.73416.7b · Cited by 96 · see citing works
Changing Concepts of Alzheimer Disease
McKhann, G. M. (2011) · JAMA · doi:10.1001/jama.2011.810 · Cited by 94 · see citing works
Iavarone, A., Ronga, B., Pellegrino, L., Loré, E., Vitaliano, S., Galeone, F., & Carlomagno, S. (2004) · PubMed · Cited by 94 · see citing works
Castiglioni, S., Pelati, O., Zuffi, M., Somalvico, F., Marino, L., Tentorio, T., & Franceschi, M. (2006) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000093665 · Cited by 83 · see citing works
Atrophy rates of the cingulate gyrus and hippocampus in AD and FTLD
Barnes, J., Godbolt, A. K., Frost, C. D., Boyes, R. G., Jones, B. F., Scahill, R. I., Rossor, M. N., & Fox, N. C. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.11.012 · Cited by 81 · see citing works
Rytty, R., Nikkinen, J., Paavola, L. E., Elseoud, A. A., Moilanen, V., Visuri, A., Tervonen, O. A., Renton, A. E., Traynor, B. J., Kiviniemi, V. J., et al. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00461 · Cited by 70 · see citing works
Balthazar, M. L. F., de Campos, B. M., Franco, A. R., Damasceno, B. P., & Cendes, F. (2013) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2013.10.010 · Cited by 70 · see citing works
Longitudinal Grey and White Matter Changes in Frontotemporal Dementia and Alzheimer’s Disease
Frings, L., Yew, B., Flanagan, E., Lam, B. Y. K., Hüll, M., Huppertz, H.-J., Hodges, J. R., & Hornberger, M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0090814 · Cited by 69 · see citing works
“Tau Oligomers,” What We Know and What We Don’t Know
Sahara, N., & Ávila, J. (2014) · Frontiers in Neurology · doi:10.3389/fneur.2014.00001 · Cited by 59 · see citing works
Three-Class Differential Diagnosis among Alzheimer Disease, Frontotemporal Dementia, and Controls
Raamana, P. R., Rosen, H., Miller, B., Weiner, M. W., Wang, L., & Beg, M. F. (2014) · Frontiers in Neurology · doi:10.3389/fneur.2014.00071 · Cited by 55 · see citing works
The power of neuroimaging biomarkers for screening frontotemporal dementia
McMillan, C. T., Avants, B., Cook, P. A., Ungar, L., Trojanowski, J. Q., & Grossman, M. (2014) · Human Brain Mapping · doi:10.1002/hbm.22515 · Cited by 54 · see citing works
Synchronized Oviposition Triggered by Migratory Flight Intensifies Larval Outbreaks of Beet Webworm
Cheng, Y. X., Luo, L. Z., Jiang, X. F., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031562 · Cited by 45 · see citing works
Khalili‐Mahani, N., van Osch, M. J. P., de Rooij, M., Beckmann, C. F., van Buchem, M. A., Dahan, A., van Gerven, J. M., & Rombouts, S. A. R. B. (2012) · Human Brain Mapping · doi:10.1002/hbm.22224 · Cited by 24 · see citing works
Self-citationTrade Integration and Trade Imbalances in the European Union: A Network Perspective
Krings, G. M., Carpantier, J.-F., & Delvenne, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0083448 · Cited by 14 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
A predictive coding framework of allostatic–interoceptive overload in frontotemporal dementia
Migeot, J. A., Duran-Aniotz, C. A., Signorelli, C. M., Piguet, O., & Ibáñez, A. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2022.08.005 · Cited by 76 · see citing works
Allostatic interoceptive overload in frontotemporal dementia
Birba, A., Santamaría-García, H., Prado, P., Cruzat, J., Ballesteros, A. S., Legaz, A., Fittipaldi, S., Duran-Aniotz, C., Slachevsky, A., Santibañez, R., et al. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.02.955 · Cited by 70 · see citing works
Jalilianhasanpour, R., Beheshtian, E., Sherbaf, G., Sahraian, S., & Sair, H. I. (2019) · Topics in Magnetic Resonance Imaging · doi:10.1097/rmr.0000000000000223 · Cited by 57 · see citing works
Reyes, P., Ortega-Merchan, M. P., Rueda, A., Uriza, F., Santamaria-García, H., Rojas-Serrano, N., Rodriguez-Santos, J., Velasco-Leon, M. C., Rodriguez-Parra, J. D., Mora-Diaz, D. E., et al. (2018) · Behavioural Neurology · doi:10.1155/2018/9684129 · Cited by 52 · see citing works
FTD spectrum: Neuroimaging across the FTD spectrum
Whitwell, J. L. (2019) · Progress in Molecular Biology and Translational Science · doi:10.1016/bs.pmbts.2019.05.009 · Cited by 53 · see citing works
Bias Introduced by Multiple Head Coils in MRI Research: An 8 Channel and 32 Channel Coil Comparison
Panman, J. L., To, Y. Y., van der Ende, E. L., Poos, J. M., Jiskoot, L. C., Meeter, L. H. H., Dopper, E. G. P., Bouts, M. J. R. J., van Osch, M. J. P., Rombouts, S. A. R. B., et al. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00729 · Cited by 46 · see citing works
Self-citationGonzalez-Gomez, R., Ibañez, A., & Moguilner, S. (2023) · Network Neuroscience · doi:10.1162/netn_a_00285 · Cited by 10 · see citing works
- Authors
- Hafkemeijer, A., Möller, C., Dopper, E. G. P., Jiskoot, L. C., van den Berg-Huysmans, A. A., van Swieten, J. C., van der Flier, W. M., Vrenken, H., Pijnenburg, Y. A. L., Barkhof, F., Scheltens, P., van der Grond, J., & Rombouts, S. A. R. B.
- Affiliations
- Leiden University (NL)
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- Leiden University Medical Center (NL)
- Leiden University Medical Center
- Erasmus Medical Center
- VU University Medical Center
- Gemeente Amsterdam (NL)
- Corresponding author
- Hafkemeijer, Anne
- ORCID
- Venue
- Journal of Alzheimer’s Disease
- Publisher
- SAGE Publications
- Published
- 2016-09-23
- Volume
- 55
- Issue
- 2
- Pages
- 521-537
- ISSN
- 1387-2877 (ISSN-L)
- 1875-8908
- OpenAlex
- W2428662225
- Cited by
- 57
- References
- 66
- Citations by year
- 2025: 3 · 2024: 6 · 2023: 3 · 2022: 7 · 2021: 7 · 2020: 6 · 2019: 11 · 2018: 5 · 2017: 8 · 2016: 1
- FWCI
- 5.30
- Type
- journal article
- Language
- en
- Open access
- Locations
- Journal of Alzheimer s Disease (publishedVersion)
- PubMed (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Leiden Repository (Leiden University) (submittedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Pure Amsterdam UMC (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Pfizer
- Sanofi
- Biogen
- Danone
- Roche Nederland
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (016-130-677, 056-13-010, 05613014)
- H. Lundbeck A/S
- Genentech
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- behavioral variant frontotemporal dementia, Alzheimer's disease
- MeSH terms
- Aged, Alzheimer Disease, Brain, Brain Mapping, Female, Humans, Image Processing, Computer-Assisted, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Neural Pathways, Oxygen, Rest, Frontotemporal Dementia, White Matter, Gray Matter
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review