The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Assessment of Eating Behavior Disturbance and Associated Neural Networks in Frontotemporal Dementia
Open accessAbstract
IMPORTANCE: Abnormal eating behaviors are common in patients with frontotemporal dementia (FTD), yet their exact prevalence, severity, and underlying biological mechanisms are not understood. OBJECTIVE: To define the severity of abnormal eating behavior and sucrose preference and their neural correlates in patients with behavioral variant FTD (bvFTD) and semantic dementia. DESIGN, SETTING, AND PARTICIPANTS: Forty-nine patients with dementia (19 with bvFTD, 15 with semantic dementia, and 15 with Alzheimer disease) were recruited, and their eating behavior was compared with that of 25 healthy controls. The study was conducted from November 1, 2013, through May 31, 2015, and data analyzed from June 1 to August 31, 2015. MAIN OUTCOMES AND MEASURES: Patients participated in an ad libitum breakfast test meal, and their total caloric intake and food preferences were measured. Changes in eating behavior were also measured using the Appetite and Eating Habits Questionnaire (APEHQ) and the Cambridge Behavioral Inventory (CBI). Sucrose preference was tested by measuring liking ratings of 3 desserts of varying sucrose content (A: 26%, B: 39%, C: 60%). Voxel-based morphometry analysis of whole-brain 3-T high-resolution brain magnetic resonance imaging was used to determine the gray matter density changes across groups and their relations to eating behaviors. RESULTS: Mean (SD) ages of patients in all 4 groups ranged from 62 (8.3) to 66 (8.4) years. At the ad libitum breakfast test meal, all patients with bvFTD had increased total caloric intake (mean, 1344 calories) compared with the Alzheimer disease (mean, 710 calories), semantic dementia (mean, 573 calories), and control groups (mean, 603 calories) (P < .001). Patients with bvFTD and semantic dementia had a strong sucrose preference compared with the other groups. Increased caloric intake correlated with atrophy in discrete neural networks that differed between patients with bvFTD and semantic dementia but included the cingulate cortices, thalami, and cerebellum in patients with bvFTD, with the addition of the orbitofrontal cortices and nucleus accumbens in patients with semantic dementia. A distributed network of neural correlates was associated with sucrose preference in patients with FTD. CONCLUSIONS AND RELEVANCE: Marked hyperphagia is restricted to bvFTD, present in all patients with this diagnosis, and supports its diagnostic value. Differing neural networks control eating behavior in patients with bvFTD and semantic dementia and are likely responsible for the differences seen, with a similar network controlling sucrose preference. These networks share structures that control cognitive-reward, autonomic, neuroendocrine, and visual modulation of eating behavior. Delineating the neural networks involved in mediating these changes in eating behavior may enable treatment of these features in patients with complex medical needs and aid in our understanding of structures that control eating behavior in patients with FTD and healthy individuals.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“abnormal eating behaviours, such as increased appetite and increased intake of sugar and carbohydrates, are universal in FTLD patients and correlate with atrophy in discrete neural networks,498,499 suggesting that dietary restriction may exert a positive effect.”
From Antiageing strategy for neurodegenerative diseases: from mechanisms to clinical advances (2025) · cites this paper as [499]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657
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
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
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
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
Self-citationClassification of primary progressive aphasia and its variants
Gorno-Tempini, M. L., Hillis, A. E., Weintraub, S., Kertesz, A., Mendez, M., Cappa, S. F., Ogar, J. M., Rohrer, J. D., Black, S., Boeve, B. F., et al. (2011) · Neurology · doi:10.1212/wnl.0b013e31821103e6 · Cited by 5,141
Self-citationThe reward circuit: linking primate anatomy and human imaging
Haber, S. N., & Knutson, B. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.129 · Cited by 3,718
Contributions of anterior cingulate cortex to behaviour
Devinsky, O., Morrell, M. J., & Vogt, B. A. (1995) · Brain · doi:10.1093/brain/118.1.279 · Cited by 3,377
Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging
Behrens, T. E. J., Johansen-Berg, H., Woolrich, M. W., Smith, S. M., Wheeler-Kingshott, C. A. M., Boulby, P. A., Barker, G. J., Sillery, E. L., Sheehan, K., Ciccarelli, O., et al. (2003) · Nature Neuroscience · doi:10.1038/nn1075 · Cited by 2,330
Mioshi, E., Dawson, K., Mitchell, J., Arnold, R., & Hodges, J. R. (2006) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.1610 · Cited by 2,016
Self-citation
Research works printed but not linked: 3
- McKhann GM, Knopman DS, Chertkow H, et al. The diagnosis of dementia due to Alzheimer's disease. Alzheimers Dement. 2011;7(3):263-269.
- Vogt BA, Finch DM, Olson CR. Functional heterogeneity in cingulate cortex. Cereb Cortex. 1992;2(6):435-443.
- Desport JC, Torny F, Lacoste M, Preux PM, Couratier P. Hypermetabolism in ALS. Neurodegener Dis. 2005;2(3-4):202-207.
Cited by
Sorted by citations
TDP-43 gains function due to perturbed autoregulation in a Tardbp knock-in mouse model of ALS-FTD
White, M. A., Kim, E., Duffy, A., Adalbert, R., Phillips, B. U., Peters, O. M., Stephenson, J., Yang, S., Massenzio, F., Lin, Z., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0113-5 · Cited by 289
Hypermetabolism in ALS is associated with greater functional decline and shorter survival
Steyn, F. J., Ioannides, Z. A., van Eijk, R. P. A., Heggie, S., Thorpe, K., Ceslis, A., Heshmat, S., Henders, A. K., Wray, N. R., van den Berg, L. H., et al. (2018) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2017-317887 · Cited by 245
Vercruysse, P., Vieau, D., Blum, D., Petersén, Å., & Dupuis, L. (2018) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2018.00002 · Cited by 172
Cerebellar atrophy in neurodegeneration—a meta-analysis
Gellersen, H. M., Guo, C. C., O’Callaghan, C., Tan, R. H., Sami, S. A. K., & Hornberger, M. (2017) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2017-315607 · Cited by 165
Antiageing strategy for neurodegenerative diseases: from mechanisms to clinical advances
Jiang, Q., Liu, J., Huang, S., Wang, X.-Y., Chen, X., Liu, G.-H., Ye, K., Song, W., Masters, C. L., Wang, J., et al. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02145-7 · Cited by 165
Fluid biomarkers in frontotemporal dementia: past, present and future
Swift, I. J., Sogorb-Esteve, A., Heller, C., Synofzik, M., Otto, M., Graff, C., Galimberti, D., Todd, E., Heslegrave, A. J., van der Ende, E. L., et al. (2021) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2020-323520 · Cited by 122
Eating Behaviors and Dietary Changes in Patients With Dementia
Cipriani, G., Carlesi, C., Lucetti, C., Danti, S., & Nuti, A. (2016) · American Journal of Alzheimer s Disease & Other Dementias® · doi:10.1177/1533317516673155 · Cited by 115
Johnen, A., & Bertoux, M. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00594 · Cited by 112
Physiological changes in neurodegeneration—mechanistic insights and clinical utility
Ahmed, R. M., Ke, Y. D., Vucic, S., Ittner, L. M., Seeley, W., Hodges, J. R., Piguet, O., Halliday, G., & Kiernan, M. C. (2018) · Nature Reviews Neurology · doi:10.1038/nrneurol.2018.23 · Cited by 91
Self-citationProgress and Challenges in Frontotemporal Dementia Research: A 20-Year Review
Hodges, J. R., & Piguet, O. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-171087 · Cited by 79
Self-citationNgo, S. T., van Eijk, R. P. A., Chachay, V., van den Berg, L. H., McCombe, P., Henderson, R. D., & Steyn, F. J. (2019) · Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration · doi:10.1080/21678421.2019.1621346 · Cited by 63
Ahmed, R. M., Highton‐Williamson, E., Caga, J., Thornton, N. L. R., Ramsey, E., Zoing, M. C., Kim, W. S., Halliday, G. M., Piguet, O., Hodges, J. R., et al. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170660 · Cited by 60
Self-citationEnergy expenditure in frontotemporal dementia: a behavioural and imaging study
Ahmed, R. M., Landin-Romero, R., Collet, T.-H., van der Klaauw, A. A., Devenney, E., Henning, E., Kiernan, M. C., Piguet, O., Farooqi, I. S., & Hodges, J. R. (2017) · Brain · doi:10.1093/brain/aww263 · Cited by 58
Self-citationCerebellar atrophy and its contribution to cognition in frontotemporal dementias
Chen, Y., Kumfor, F., Landín-Romero, R., Irish, M., Hodges, J. R., & Piguet, O. (2018) · Annals of Neurology · doi:10.1002/ana.25271 · Cited by 60
Self-citationUncovering the prevalence and neural substrates of anhedonia in frontotemporal dementia
Shaw, S. R., El-Omar, H., Roquet, D., Hodges, J. R., Piguet, O., Ahmed, R. M., Whitton, A. E., & Irish, M. (2021) · Brain · doi:10.1093/brain/awab032 · Cited by 61
Self-citationEffort avoidance as a core mechanism of apathy in frontotemporal dementia
Bouc, R. L., Borderies, N., Carle, G., Robriquet, C., Vinckier, F., Jean Daunizeau, A., Azuar, C., Lévy, R., & Pessiglione, M. (2022) · Brain · doi:10.1093/brain/awac427 · Cited by 62
Distinct clinicopathologic clusters of persons with TDP-43 proteinopathy
Katsumata, Y., Abner, E. L., Karanth, S. D., Teylan, M., Mock, C., Cykowski, M. D., Lee, E. B., Boehme, K. L., Mukherjee, S., Kauwe, J. S. K., et al. (2020) · Acta Neuropathologica · doi:10.1007/s00401-020-02211-0 · Cited by 48
Looking beneath the surface: the importance of subcortical structures in frontotemporal dementia
Bocchetta, M., Malpetti, M., Todd, E. G., Rowe, J. B., & Rohrer, J. D. (2021) · Brain Communications · doi:10.1093/braincomms/fcab158 · Cited by 53
Genetic testing in motor neurone disease
Dharmadasa, T., Scaber, J., Edmond, E., Marsden, R., Thompson, A., Talbot, K., & Turner, M. R. (2022) · Practical Neurology · doi:10.1136/practneurol-2021-002989 · Cited by 48
Ahmed, R. M., Phan, K., Highton‐Williamson, E., Strikwerda‐Brown, C., Caga, J., Ramsey, E., Zoing, M. C., Devenney, E. M., Kim, W. S., Hodges, J. R., et al. (2019) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.721 · Cited by 46
Self-citationThe Cerebellum in Frontotemporal Dementia: a Meta-Analysis of Neuroimaging Studies
Chen, Y., Kumfor, F., Landín-Romero, R., Irish, M., & Piguet, O. (2019) · Neuropsychology Review · doi:10.1007/s11065-019-09414-7 · Cited by 47
Self-citationAutism and psychosis as diametrical disorders of embodiment
Crespi, B. J., & Dinsdale, N. L. (2019) · Evolution Medicine and Public Health · doi:10.1093/emph/eoz021 · Cited by 47
Hazelton, J. L., Fittipaldi, S., Fraile-Vazquez, M., Sourty, M., Legaz, A., Hudson, A. L., Cordero, I. G., Salamone, P. C., Yoris, A., Ibañez, A., et al. (2023) · Cortex · doi:10.1016/j.cortex.2023.02.009 · Cited by 39
Self-citationAhmed, R. M., Bocchetta, M., Todd, E. G., Tse, N. Y., Devenney, E. M., Tu, S., Caga, J., Hodges, J. R., Halliday, G. M., Irish, M., et al. (2021) · Brain Communications · doi:10.1093/braincomms/fcab257 · Cited by 39
Self-citationPharmacotherapy for Neuropsychiatric Symptoms in Frontotemporal Dementia
Le, C., & Finger, E. (2021) · CNS Drugs · doi:10.1007/s40263-021-00854-5 · Cited by 26
Devenney, E. M., Ahmed, R. M., & Hodges, J. R. (2019) · Handbook of clinical neurology · doi:10.1016/b978-0-12-804766-8.00015-7 · Cited by 40
Self-citationMouse models of frontotemporal dementia: A comparison of phenotypes with clinical symptomatology
Ahmed, R. M., Irish, M., van Eersel, J., Ittner, A., Ke, Y. D., Volkerling, A. M., van der Hoven, J., Tanaka, K., Karl, T., Kassiou, M., et al. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.01.004 · Cited by 34
Self-citationPlasma cholesterol in Alzheimer’s disease and frontotemporal dementia
Wang, P., Zhang, H., Wang, Y., Zhang, M., & Zhou, Y. (2020) · Translational Neuroscience · doi:10.1515/tnsci-2020-0098 · Cited by 30
Pharmacological Management of Psychiatric Symptoms in Frontotemporal Dementia: A Systematic Review
Buoli, M., Serati, M., Caldiroli, A., Galimberti, D., Scarpini, E., & Altamura, A. (2017) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988717700506 · Cited by 25
The hypometabolic state: a good predictor of a better prognosis in amyotrophic lateral sclerosis
Cattaneo, M., Jésus, P., Lizio, A., Fayemendy, P., Guanziroli, N., Corradi, E., Sansone, V., Leocani, L., Filippi, M., Riva, N., et al. (2021) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2021-326184 · Cited by 25
Chokesuwattanaskul, A., Jiang, H., Bond, R. L., Jiménez, D., Russell, L. L., Sivasathiaseelan, H., Johnson, J. C. S., Benhamou, E., Agustus, J. L., van Leeuwen, J. E. P., et al. (2023) · Brain Communications · doi:10.1093/braincomms/fcad027 · Cited by 24
Principles of Behavioral and Cognitive Neurology
Agosta, F., Canu, E., Leocadi, M., Castelnovo, V., Magno, M. A., Calderaro, D., & Filippi, M. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819641-0.00120-1 · Cited by 26
Appetite, Metabolism and Hormonal Regulation in Normal Ageing and Dementia
Nifli, A. (2018) · Diseases · doi:10.3390/diseases6030066 · Cited by 23
Hooft, J. J. V. ’., Pijnenburg, Y. A. L., Sikkes, S. A. M., Scheltens, P., Spikman, J. M., Jaschke, A. C., Warren, J. D., & Tijms, B. M. (2021) · Brain and Cognition · doi:10.1016/j.bandc.2020.105660 · Cited by 27
McKenna, M. C., Lope, J., Bede, P., & Tan, E. L. (2023) · Brain and Behavior · doi:10.1002/brb3.2881 · Cited by 23
Thalamic and Cerebellar Regional Involvement across the ALS–FTD Spectrum and the Effect of C9orf72
Bocchetta, M., Todd, E. G., Tse, N. Y., Devenney, E. M., Tu, S., Caga, J., Hodges, J. R., Halliday, G. M., Irish, M., Piguet, O., et al. (2022) · Brain Sciences · doi:10.3390/brainsci12030336 · Cited by 21
Self-citationWong, S., Balleine, B. W., & Kumfor, F. (2018) · Brain · doi:10.1093/brain/awy123 · Cited by 22
Ahmed, R. M., Hodges, J. R., & Piguet, O. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-51140-1_1 · Cited by 25
Self-citationFoxe, D., Irish, M., Ramanan, S., Stark, S., Cordato, N. J., Burrell, J. R., & Piguet, O. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.15557 · Cited by 19
Self-citationChildhood Dementia: A Collective Clinical Approach to Advance Therapeutic Development and Care
Djafar, J. V., Johnson, A., Elvidge, K. L., & Farrar, M. A. (2022) · Pediatric Neurology · doi:10.1016/j.pediatrneurol.2022.11.015 · Cited by 21
Chronic Effects of Blast-Related TBI on Subcortical Functional Connectivity in Veterans
Newsome, M. R., Mayer, A. R., Lin, X., Troyanskaya, M., Jackson, G. R., Scheibel, R. S., Walder, A. M., Sathiyaraj, A., Wilde, E. A., Mukhi, S. V., et al. (2016) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617716000448 · Cited by 19
Lin, Z.-Q., Kim, E., Ahmed, M., Han, G., Simmons, C., Redhead, Y. T., Bartlett, J., Altamira, L. E. P., Callaghan, I., White, M. A., et al. (2021) · Brain Communications · doi:10.1093/braincomms/fcab114 · Cited by 17
Metabolomic changes associated with frontotemporal lobar degeneration syndromes
Murley, A. G., Jones, P. S., Coyle Gilchrist, I., Bowns, L., Wiggins, J., Tsvetanov, K. A., & Rowe, J. B. (2020) · Journal of Neurology · doi:10.1007/s00415-020-09824-1 · Cited by 18
In vivo hypothalamic regional volumetry across the frontotemporal dementia spectrum
Shapiro, N. L., Todd, E. G., Billot, B., Cash, D. M., Iglesias, J. E., Warren, J. D., Rohrer, J. D., & Bocchetta, M. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103084 · Cited by 18
Ahmed, R. M., Goldberg, Z.-L., Kaizik, C., Kiernan, M. C., Hodges, J. R., Piguet, O., & Irish, M. (2018) · Journal of Neurology · doi:10.1007/s00415-018-9024-3 · Cited by 20
Self-citationA Review: Mealtime Difficulties following Frontotemporal Lobar Degeneration
Lewis, C. C., Walterfang, M., Velakoulis, D., & Vogel, A. P. (2018) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000494210 · Cited by 18
Anhedonia in Semantic Dementia—Exploring Right Hemispheric Contributions to the Loss of Pleasure
Shaw, S. R., El-Omar, H., Ramanan, S., Piguet, O., Ahmed, R. M., Whitton, A. E., & Irish, M. (2021) · Brain Sciences · doi:10.3390/brainsci11080998 · Cited by 17
Self-citationBehavioral variant of frontotemporal dementia
Hildebrandt, H. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-821072-7.00006-0 · Cited by 17
Vonk, J. M. J., Borghesani, V., Battistella, G., Younes, K., DeLeon, J., Welch, A., Hubbard, H. I., Miller, Z. A., Miller, B. L., & Gorno-Tempini, M. L. (2020) · Aphasiology · doi:10.1080/02687038.2019.1659935 · Cited by 16
“preference changes observed in bvFTD, where there is a marked preference for carbohydrates and sweets often accompanied by a profound gain in weight (Ahmed et al., 2016; Aiello, Silani, & Rumiati, 2016; Piguet, 2011).”
BackgroundResultNeural networks associated with body composition in frontotemporal dementia
Ahmed, R. M., Landín-Romero, R., Liang, C. T., Keogh, J. M., Henning, E., Strikwerda‐Brown, C., Devenney, E. M., Hodges, J. R., Kiernan, M. C., Farooqi, I. S., et al. (2019) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.50869 · Cited by 18
Self-citationHypothalamic symptoms of frontotemporal dementia disorders
Ahmed, R. M., Halliday, G. M., & Hodges, J. R. (2021) · Handbook of clinical neurology · doi:10.1016/b978-0-12-819973-2.00019-8 · Cited by 19
Self-citationThe insula, a grey matter of tastes: a volumetric MRI study in dementia with Lewy bodies
Philippi, N., Noblet, V., Hamdaoui, M., Soulier, D., Botzung, A., Ehrhard, E., Cretin, B., Blanc, F., AlphaLewyMA study group, Martin‐Hunyadi, C., et al. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00645-y · Cited by 17
Horne, K., Ahmed, R. M., Piguet, O., & Irish, M. (2023) · European Journal of Neurology · doi:10.1111/ene.16132 · Cited by 15
Self-citationEstablishing links between abnormal eating behaviours and semantic deficits in dementia.
Vignando, M., Rumiati, R., Manganotti, P., Cattaruzza, T., & Aiello, M. (2019) · Journal of Neuropsychology · doi:10.1111/jnp.12195 · Cited by 11
Iwata‐Endo, K., Sahashi, K., Kawai, K., Fujioka, Y., Okada, Y., Watanabe, E., Iwade, N., Ishibashi, M., Mohammad, M., Aldoghachi, A. F., et al. (2025) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2025.102503 · Cited by 14
Antonioni, A., Raho, E. M., Spampinato, D. A., Granieri, E., Fadiga, L., Lorenzo, F. D., & Koch, G. (2025) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2025.106194 · Cited by 17
Ahmed, R. M., Tse, N. Y., Chen, Y., Henning, E., Hodges, J. R., Kiernan, M. C., Irish, M., Farooqi, I. S., & Piguet, O. (2021) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51369 · Cited by 12
Self-citationHorne, K., & Irish, M. (2023) · Brain Communications · doi:10.1093/braincomms/fcad045 · Cited by 12
Self-citationSalvato, G., Mercurio, M., Sberna, M., Paulesu, E., & Bottini, G. (2018) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2018.10.001 · Cited by 11
Cardiovascular risk factors and the allostatic interoceptive network in dementia
Hazelton, J. L., Migeot, J., González-Gómez, R., Altschuler, F., Duran-Aniotz, C. A., Wen, O., Rial, D. S. G. G., Barttfeld, P., Medel, V., Campo, C. G., et al. (2025) · Cardiovascular Research · doi:10.1093/cvr/cvaf185 · Cited by 8
Valotassiou, V. J., Sifakis, N., Tzavara, C. K., Lykou, E., Tsinia, N., Kamtsadeli, V., Sali, D., Angelidis, G., Psimadas, D., Tsougos, I., et al. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-201434 · Cited by 8
Morrow, C. B., Chaney, G.-A. S., Capuzzi, D., Bakker, A., Onyike, C. U., & Kamath, V. J. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220443 · Cited by 7
Regional cerebral blood flow correlates eating abnormalities in frontotemporal dementia
Zhou, Z., Li, X., Jin, Y. J., Zheng, Y., Jia, S., Jiao, J., & Zheng, X. (2019) · Neurological Sciences · doi:10.1007/s10072-019-03910-7 · Cited by 7
Stress-impaired reward pathway promotes distinct feeding behavior patterns
Fujioka, Y., Kawai, K., Endo, K., Ishibashi, M., Iwade, N., Tuerde, D., Kaibuchi, K., Yamashita, T., Yamanaka, A., Katsuno, M., et al. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1349366 · Cited by 6
Factors Associated with Denture Non-use in Older Adults Requiring Long-Term Care
Meguro, A., Ohara, Y., Edahiro, A., Shirobe, M., Iwasaki, M., Igarashi, K., Motokawa, K., Ito, M., Watanabe, Y., Kawai, Y., et al. (2021) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2021.104412 · Cited by 6
“Everything hurts!” Distress in semantic variant primary progressive aphasia
Barker, M. S., Silverman, H. E., Fremont, R., Manoochehri, M., Cosentino, S., & Huey, E. D. (2020) · Cortex · doi:10.1016/j.cortex.2020.03.002 · Cited by 6
Lee, K., Kim, S., & Liu, W. (2024) · Geriatric Nursing · doi:10.1016/j.gerinurse.2024.05.005 · Cited by 5
Hou, J., Chu, M. K., Chen, Z., Jiang, D., Chen, Y. A., Yue, A., He, Q., Lu, H. R., Xu, Y.-X., Qu, M., et al. (2025) · Journal of Neurology · doi:10.1007/s00415-025-13268-w · Cited by 5
Boyanova, S. T., Banks, G. T., Lipina, T. V., Bains, R. S., Forrest, H., Stewart, M. E., Carcolé, M., Milioto, C., Isaacs, A. M., Wells, S. E., et al. (2025) · Disease Models & Mechanisms · doi:10.1242/dmm.052324 · Cited by 5
Reward motivation and cognitive flexibility in tau null-mutation mice
Oberrauch, S., Metha, J. A., Brian, M. L., Barnes, S. A., Featherby, T. J., Lawrence, A. J., Hoyer, D., Murawski, C., & Jacobson, L. H. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.12.017 · Cited by 5
Horne, K., Saraiva, L. D. A., de Souza, L. C., & Irish, M. (2025) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2025.106128 · Cited by 6
Self-citationKumfor, F., & Hodges, J. R. (2017) · doi:10.20584/neuropsychology.33.1_9 · Cited by 4
Self-citationChu, M., Yue, A., Nan, H., Ye, H., Qu, M., & Wu, L. (2025) · Neurobiology of Disease · doi:10.1016/j.nbd.2025.107135 · Cited by 4
Chen, T., Ahmed, R. M., Narasimhan, M., Yang, T., Foxe, D., Piguet, O., & Irish, M. (2025) · Human Brain Mapping · doi:10.1002/hbm.70374 · Cited by 5
Self-citationAtkinson, R. A. K., Collins, J. M., Sreedharan, J., King, A. E., & Fernández-Martos, C. M. (2024) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlae054 · Cited by 4
Special Findings in Neurogenic Dysphagia
Warnecke, T., Dziewas, R., & Langmore, S. E. (2021) · Springer eBooks · doi:10.1007/978-3-030-42140-3_4 · Cited by 4
Increased heart rate and energy expenditure in frontotemporal dementia
Finger, E. C. (2016) · Brain · doi:10.1093/brain/aww312 · Cited by 4
Zhang, X., Irish, M., Piguet, O., & Ahmed, R. M. (2025) · Journal of Neurology · doi:10.1007/s00415-025-13025-z · Cited by 3
Self-citationNeuropsychiatric symptoms in behavioral variant frontotemporal dementia: a narrative review
Page, J., Pontone, G. M., & Davydow, D. S. (2025) · International Review of Psychiatry · doi:10.1080/09540261.2025.2583257 · Cited by 3
The Role of Oxytocin in Social Circuits and Social Behavior in Dementia
Piguet, O., Ahmed, R. M., & Kumfor, F. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-1759-5_5 · Cited by 3
Self-citationZheng, C., Blackwell, J. M., & Fontanini, A. (2025) · Neurobiology of Disease · doi:10.1016/j.nbd.2025.106850 · Cited by 5
Neurobiology of Positive Emotion Disruption in Neurodegenerative Disease
Sturm, V. E., & LEVENSON, R. W. (2019) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780190653200.013.29 · Cited by 3
Whitwell, J. L. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2015.4496 · Cited by 2
Peltier, C., Lejeune, F., Jorgensen, L. G. T., Rametti‐Lacroux, A., Tanguy, D., Godefroy, V., Bendetowicz, D., Carle, G., Cognat, E., Bombois, S., et al. (2022) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2022.109625 · Cited by 2
Park, J., Lee, C., Lin, L., Galvin, J. E., Fain, M. J., Allen, A. M., Park, L., & Ahn, H. B. (2024) · Integrative and Complementary Therapies · doi:10.1089/ict.2024.21943.jp · Cited by 2
Takeda, A., & Miller, B. L. (2020) · doi:10.1093/med/9780198713005.003.0041 · Cited by 2
Halder, T., Schenk, T., Wlasich, E., Vollmar, C., Uttner, I., & Danek, A. (2021) · Neurocase · doi:10.1080/13554794.2021.1938134 · Cited by 1
Kim, B., & Hong, D.-G. (2025) · Journal of the Korean Dysphagia Society · doi:10.34160/jkds.25.015 · Cited by 1
Changes in body composition in genetic C9orf72 carriers: The role of the hypothalamus and thalamus
Ahmed, R. M., Tse, N. Y., Bocchetta, M., Dobson‐Stone, C., Kwok, J. B., Hodges, J. R., Irish, M., Rohrer, J. D., Piguet, O., & Halliday, G. M. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71669 · Cited by 1
Self-citationRare Presentation of Amyotrophic Lateral Sclerosis as Frontotemporal Dementia: A Case Report
Khan, A. M. (2017) · Open Access Journal of Toxicology · doi:10.19080/oajt.2017.01.555566 · Cited by 1
Sawyer, R. P., Shinagawa, S., & Miller, B. L. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-813866-3.00003-5 · Cited by 1
Bocchetta, M. (2023) · Oxford University Press eBooks · doi:10.1093/med/9780197676158.003.0070 · Cited by 1
Moskowitz, H., Rappaport, S. M., Wingert, S., Dilorenzo, A., Saharan, S., & Mulvey, T. (2024) · Acta Scientifci Nutritional Health · doi:10.31080/asnh.2024.08.1368 · Cited by 1
Altomare, D., Bracca, V., Premi, E., Micheli, A., Cotelli, M. S., Gasparotti, R., Alberici, A., & Borroni, B. (2024) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.13751 · Cited by 2
Barker, M. S., Shneider, N. A., Manoochehri, M., Huey, E. D., & Lindenberger, E. C. (2025) · Psychiatry Research Case Reports · doi:10.1016/j.psycr.2025.100247 · Cited by 1
Morrow, C. B., Onyike, C. U., Pantelyat, A. Y., Smith, G. S., Leoutsakos, J., Faria, A. V., Graff-Radford, N. R., Darby, R. R., Ghoshal, N., Staffaroni, A. M., et al. (2025) · Journal of Neuropsychiatry · doi:10.1176/appi.neuropsych.20240134 · Cited by 1
Morrow, C. B., Onyike, C. U., Pantelyat, A. Y., Smith, G. S., Leoutsakos, J., Faria, A. V., Graff‐Radford, N. R., Darby, R. R., Ghoshal, N., Staffaroni, A. M., et al. (2024) · medRxiv · doi:10.1101/2024.02.19.24302699 · Cited by 1
Warren, S. L., Somasundaram, H., Horne, K., Robinson, G. A., Behenska, J., Nguyen, K., Ajay, P., Goh, A., Jeon, Y., Low, L., et al. (2026) · medRxiv · doi:10.64898/2026.06.11.26355497 · Cited by 1
Self-citationNeurochemical Aspects of Frontotemporal Dementia
Farooqui, A. A. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-816347-4.00006-4
Regional brain abnormalities in behavioral variant frontotemporal dementia: a meta-analysisPreprint
Kamalian, A., khodadadifar, T., Saberi, A., Masoudi, M., Camilleri, J. A., Eickhoff, C. R., Zarei, M., Pasquini, L., Eickhoff, S. B., & Tahmasian, M. (2021) · doi:10.31234/osf.io/w9pt7
Metadata
- Authors
- Ahmed, R. M., Irish, M., Henning, E., Dermody, N., Bartley, L., Kiernan, M. C., Piguet, O., Farooqi, S., & Hodges, J. R.
- Affiliations
- The University of Sydney (AU)
- UNSW Sydney (AU)
- University of Cambridge (GB)
- Neuroscience Research Australia (AU)
- University of Cambridge Metabolic Research Laboratories and National Institute for Health Research Cambridge Biomedical Research Centre, Wellcome Trust–Medical Research Council Institute of Metabolic Science, Cambridge, United Kingdom
- Corresponding author
- Ahmed, Rebekah M.
- ORCID
- Venue
- JAMA Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 2016-03-01
- Volume
- 73
- Issue
- 3
- Pages
- 282
- ISSN
- 2168-6149 (ISSN-L)
- OpenAlex
- W2262227503
- Cited by
- 110
- References
- 55
- Citations by year
- 2026: 4 · 2025: 17 · 2024: 10 · 2023: 6 · 2022: 7 · 2021: 20 · 2020: 11 · 2019: 12 · 2018: 11 · 2017: 7 · 2016: 5
- FWCI
- 10.36
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA Neurology (publishedVersion)
- PubMed (publishedVersion)
- Apollo (University of Cambridge) (acceptedVersion)
- Apollo
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
- Health Sciences › Medicine › Clinical Neurology › Amyotrophic Lateral Sclerosis Research
- Keywords
- frontotemporal dementia, behavioral variant frontotemporal dementia, semantic dementia, abnormal eating behavior, energy intake, sucrose preference, neural correlates, gray matter atrophy, cingulate cortex, thalamus, cerebellum, orbitofrontal cortex, nucleus accumbens, appetite, Alzheimer's disease, behavioral symptoms of dementia, voxel-based morphometry
- MeSH terms
- Aged, Alzheimer Disease, Feeding and Eating Disorders, Atrophy, Brain, Female, Humans, Male, Middle Aged, Nerve Net, Frontotemporal Dementia
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