The Role of Information and Communication Technologies in Clinical Trials with Patients with Alzheimer’s Disease and Related Disorders
Open accessAbstract
International audience
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
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?
Automatic speech analysis techniques through computerized speech recognition interfaces could represent a non-invasive and cheap method to collect information on verbal communication impairment in patients with cognitive disorders.
“For instance, automatic speech analysis techniques through computerized speech recognition interfaces could represent a non-invasive and cheap method to collect information on verbal communication impairment in patients with cognitive disorders (284).”
From The Multidisciplinary Approach to Alzheimer’s Disease and Dementia. A Narrative Review of Non-Pharmacological Treatment (2018) · cites this paper as [284]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods
Jack, C. R., Bernstein, M. A., Fox, N. C., Thompson, P., Alexander, G., Harvey, D., Borowski, B., Britson, P. J., L. Whitwell, J., Ward, C., et al. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21049 · Cited by 4,347 · see citing works
Robinovitch, S. N., Feldman, F., Yang, Y., Schonnop, R., Leung, P. M., Sarraf, T. A., Sims‐Gould, J., & Loughin, M. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61263-x · Cited by 944 · see citing works
Automatic speech analysis for the assessment of patients with predementia and Alzheimer's disease
König, A., Satt, A., Sorin, A., Hoory, R., Toledo‐Ronen, O., Derreumaux, A., Manera, V., Verhey, F., Aalten, P., Robert, P. H., et al. (2015) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2014.11.012 · Cited by 380 · see citing works
Cummings, J. L., Mintzer, J. E., Brodaty, H., Sano, M. C., Banerjee, S., Devanand, D. P., Gauthier, S. G., Howard, R. J., Lanctôt, K. L., Lyketsos, C. G., et al. (2014) · International Psychogeriatrics · doi:10.1017/s1041610214001963 · Cited by 364 · see citing works
Hatfield, C. F. (2004) · Brain · doi:10.1093/brain/awh129 · Cited by 323 · cited 1× · see citing works
“A final example is represented by actigraphy, which is frequently used to monitor motor activity and rest-activity rhythms (Hatfield et al., 2004), and it has been proposed as an observer-independent evaluation method in different disorders, including dementia (Yakhia et al.”
Innovative diagnostic tools for early detection of Alzheimer's disease
Laske, C., Sohrabi, H. R., Frost, S. M., López-de-Ipiña, K., Garrard, P., Buscema, M., Dauwels, J., Soekadar, S. R., Mueller, S., Linnemann, C., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.06.004 · Cited by 316 · cited 1× · see citing works
“Furthermore, current diagnostic measures can be invasive (CSF analyses), expensive (neuroimaging), time-consuming (neuropsychological assessment), and are often available only in specialized clinics, which lead to reduced accessibility as frontline screening tool for AD and related disorders (Laske et al., 2014).”
BackgroundAisen, P. S., Gauthier, S., Ferris, S. H., Saumier, D., Haine, D., Garceau, D., Duong, A., Suhy, J., Oh, J., Lau, W. C., et al. (2011) · Archives of Medical Science · doi:10.5114/aoms.2011.20612 · Cited by 295 · cited 1× · see citing works
“…being explained by methodological difficulties, including the inclusion 58 of participants that are already in the later stages of the disease progression, and the selection 59 of outcome measures - such as dementia conversion rate - which are not sensitive enough 60 (Aisen et al., 2011).”
BackgroundHsiao, C., & Hing, E. (2014) · PubMed · Cited by 287 · see citing works
Robert, P. H., König, A., Amieva, H., Andrieu, S., Brémond, F., Bullock, R. A., Ceccaldi, M. P., Dubois, B., Gauthier, S. G., Kenigsberg, P.-A., et al. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00054 · Cited by 207 · see citing works
Okura, T., & Langa, K. M. (2011) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e318203f208 · Cited by 121 · cited 1× · see citing works
“Agitation represents one of the most frequent neuropsychiatric symptoms in patients with dementia, and one of the most challenging symptoms to manage for primary caregivers (Okura and Langa, 2011).”
BackgroundMotor activity and autonomic cardiac functioning in major depressive disorder
Volkers, A. C. W. (2002) · Journal of Affective Disorders · doi:10.1016/s0165-0327(02)00066-6 · Cited by 116 · see citing works
Sugaya, H., & Yokoyama, K. (1989) · Cited by 112 · see citing works
Actigraphy in agitated patients with dementia
Mahlberg, R., & Walther, S. (2007) · Zeitschrift für Gerontologie und Geriatrie · doi:10.1007/s00391-007-0420-z · Cited by 95 · see citing works
Assessing cognition and function in Alzheimer's disease clinical trials: Do we have the right tools?
Snyder, P. J., Kahle‐Wrobleski, K., Brannan, S. K., Miller, D. S., Schindler, R. J., DeSanti, S., Ryan, J. M., Morrison, G., Grundman, M., Chandler, J., et al. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.07.158 · Cited by 95 · see citing works
Decreased Daytime Motor Activity Associated With Apathy in Alzheimer Disease: An Actigraphic Study
David, R., Mulin, E., Friedman, L., Duff, F. L., Cygankiewicz, E., Deschaux, O., Garcia, R., Yesavage, J. A., Robert, P. H., & Zeitzer, J. M. (2011) · American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e31823038af · Cited by 93 · see citing works
Klevans, R. L., & Rodman, R. D. (1997) · Cited by 87 · see citing works
Sacco, G., Joumier, V., Darmon, Dechamps, Derreumaux, A., Lee, J.-H., Piano, Bordone, N., Konig, A., Teboul, B., et al. (2012) · Clinical Interventions in Aging · doi:10.2147/cia.s36297 · Cited by 78 · cited 1× · see citing works
“Similar observations apply to automatic video analysis techniques (Romdhane et al., 2012; Sacco et al., 2012; Konig et al., 2015c).”
MethodEvaluation of speech-based protocol for detection of early-stage dementia
Satt, A., Sorin, A. S., Ronen, O., Barkan, O., Kompatsiaris, I. Y., Kokonozi, A., & Tsolaki, M. (2013) · Interspeech (USB) · doi:10.21437/interspeech.2013-32 · Cited by 78 · cited 1× · see citing works
“For instance, it has been shown that automatic speech analysis techniques – analyses of verbal communication through computerized speech recognition interfaces – can represent a non-invasive and cheap method to gather information about verbal communication impairments, which are very common in patients with MCI and in…”
BackgroundActigraphic measurement of agitated behaviour in dementia
Nagels, G., Engelborghs, S., Vloeberghs, E., Dam, D. V., Pickut, B. A., & Deyn, P. P. D. (2006) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.1483 · Cited by 66 · see citing works
Kuchinke, W., Ohmann, C., Yang, Q., Salas, N., Lauritsen, J. L., Gueyffier, F., Leizorovicz, A., Schade‐Brittinger, C., Wittenberg, M., Vokó, Z., et al. (2010) · Trials · doi:10.1186/1745-6215-11-79 · Cited by 63 · see citing works
König, A., Crispim-Junior, C. F., Derreumaux, A., Ben-Sadoun, G., Petit, P., Brémond, F., David, R., Verhey, F. R. J., Aalten, P., & Robert, P. H. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-141767 · Cited by 49 · see citing works
Daniel, E. D., & Watkinson, J. R. (1989) · Cited by 49 · see citing works
Recommendations for ICT use in Alzheimer's disease assessment: Monaco CTAD expert meeting
Robert, P. H., Konig, A., Andrieu, S., Bremond, F., Chemin, I., Chung, P. C., Dartigues, J. F., Dubois, B., Feutren, G., Guillemaud, R., et al. (2013) · The Journal of nutrition, health and aging · doi:10.1007/s12603-013-0046-3 · Cited by 46 · cited 1× · see citing works
“Most of the current assessment tools have been accused to be artificial, and to lack 62 ecological validity (Robert et al., 2013).”
BackgroundMonitoring the Early Signs of Cognitive Decline in Elderly by Computer Games: An MRI Study
Sirály, E., Szabó, Á., Szita, B., Kovács, V., Fodor, Z., Marosi, C., Salacz, P., Hidasi, Z., Maros, Hanák, P., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0117918 · Cited by 44 · see citing works
Soto, M. E., Andrieu, S., Nourhashémi, F., Ousset, P., Ballard, C. G., Robert, P. H., Vellas, B. J., Lyketsos, C. G., & Rosenberg, P. B. (2014) · International Psychogeriatrics · doi:10.1017/s1041610214001720 · Cited by 41 · cited 1× · see citing works
“As for cognition, pharmacological solutions for agitation have given so far disappointing results (Soto et al., 2014).”
BackgroundSchmand, B. A., Initiative, A. D. N., Eikelenboom, P., & van Gool, W. A. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-111703 · Cited by 40 · see citing works
A review of current information and communication technologies: can they be used to assess apathy?
König, A., Aalten, P., Verhey, F. R. J., Ben-Sadoun, G., Petit, P., Robert, P. H., & David, R. (2013) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.4017 · Cited by 35 · cited 1× · see citing works
“…being explained by methodological difficulties, including the inclusion 58 of participants that are already in the later stages of the disease progression, and the selection 59 of outcome measures - such as dementia conversion rate - which are not sensitive enough 60 (Aisen et al., 2011).”
BackgroundKönig, A., Crispim-Junior, C. F., Covella, A. G. U., Brémond, F., Derreumaux, A., Ben-Sadoun, G., David, R., Verhey, F. R. J., Aalten, P., & Robert, P. H. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00098 · Cited by 32 · cited 7× · see citing works
“264 265 Konig, A, Aalten, P, Verhey, F, Bensadoun, G, Petit, PD, Robert, P, et al. (2013). A review of 266 current information and communication technologies: can they be used to assess 267 apathy? Int J Geriatr Psychiatry. 268 269 König, A, Crispim Junior, C, Gomez Uria Covella, A, Bremond, F, Derreumaux, A, 270 Bens…”
BackgroundMethodInfluentialAutomatic video monitoring system for assessment of Alzheimer's disease symptoms
Romdhane, R., Mulin, E., Derreumeaux, A., Zouba, N., Piano, J., Lee, L., Leroi, I., Mallea, P., David, R., Thonnat, M., et al. (2012) · The Journal of nutrition, health and aging · doi:10.1007/s12603-012-0039-7 · Cited by 32 · see citing works
Yakhia, M., König, A., van der Flier, W. M., Friedman, L., Robert, P. H., & David, R. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-131691 · Cited by 20 · see citing works
Clinical relevance on Alzheimer's disease endpoints.
Sampaio, C. (2007) · PubMed · Cited by 14 · see citing works
Flagged first, then by citations
1 of the 32 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Zucchella, C., Sinforiani, E., Tamburin, S., Federico, A., Mantovani, E., Bernini, S., Casale, R., & Bartolo, M. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.01058 · Cited by 297 · see citing works
“For instance, automatic speech analysis techniques through computerized speech recognition interfaces could represent a non-invasive and cheap method to collect information on verbal communication impairment in patients with cognitive disorders (284).”
MethodRecommendations for the Use of Serious Games in Neurodegenerative Disorders: 2016 Delphi Panel
Manera, V., Ben-Sadoun, G., Aalbers, T., Agopyan, H., Askenazy-Gittard, F., Benoît, M., Bensamoun, D., Bourgeois, J., Bredin, J., Brémond, F., et al. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01243 · Cited by 81 · see citing works
“…Alzheimer’s disease (AD), where ICT is employed both to support and improve the assessment of different functional and cognitive abilities (Aalbers et al., 2013; Robert et al., 2013; König et al., 2015), and to provide alternative solutions for patients’ treatments, stimulation, and rehabilitation.”
Beltrán, J., García-Vázquez, M. S., Benois‐Pineau, J., Gutiérrez‐Robledo, L. M., & Dartigues, J. (2018) · Computational and Mathematical Methods in Medicine · doi:10.1155/2018/2676409 · Cited by 42 · see citing works
“Furthermore, current technology provides noninvasive equipment andmethods to assess visual deficits ubiquitously and objectively in naturalistic scenarios [13].”
BackgroundMeghanani, A., Anoop, C. S., & Ramakrishnan, A. G. (2021) · Frontiers in Computer Science · doi:10.3389/fcomp.2021.624558 · Cited by 39 · see citing works
Rossetto, F., Isernia, S., Realdon, O., Borgnis, F., Blasi, V., Pagliari, C., Cabinio, M., Alberoni, M., Mantovani, F., Clerici, M., et al. (2023) · Annals of Medicine · doi:10.1080/07853890.2023.2185672 · Cited by 35 · see citing works
“and for the potential management of the rehabilitation activity over time, in accordance with the literature [31,32].”
ResultRecommendations for the Use of ICT in Elderly Populations with Affective Disorders
Gros, A., Bensamoun, D., Manera, V., Fabre, R., Zacconi-Cauvin, A.-M., Thümmler, S., Benoît, M., Robert, P. H., & David, R. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00269 · Cited by 28 · see citing works
“Several studies have started to show the importance of using ICT in clinical trials (König et al., 2015; Pillai and Bonner-Jackson, 2015) and for research purposes for which a lack of objective markers have led to potentially conflicting or inconclusive results.”
BackgroundSacco, G., Ben-Sadoun, G., Bourgeois, J., Fabre, R., Manera, V., & Robert, P. H. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-180396 · Cited by 25 · see citing works
Andre, L., Giulioli, C., Piau, A., Bongard, V., Richard, E., van Charante, E. P. M., Coley, N., & Andrieu, S. (2022) · Clinical Interventions in Aging · doi:10.2147/cia.s352137 · Cited by 25 · see citing works
Recognition of audible disruptive behavior from people with dementia
Beltrán, J., Navarro, R. F., Chávez, E., Favela, J., Soto-Mendoza, V., & Ibarra, C. (2018) · Personal and Ubiquitous Computing · doi:10.1007/s00779-018-01188-8 · Cited by 8 · see citing works
“Another use of automatic audio analysis is the diagnosis of certain neurodegenerative diseases [23, 33, 39, 43].”
BackgroundSmith, S. K., Wolverson, E., & Mountain, G. A. (2022) · Frontiers in Rehabilitation Sciences · doi:10.3389/fresc.2022.952722 · Cited by 4 · see citing works
“Some examples include Global Positioning Systems (GPS) to assess outdoor mobility, travel patterns (47, 48), sensors, video cameras or smart home technologies may be used to assess the performance of Instrumental Activities of Daily Living (IADL) (49) apathy (50), movement patterns (51) and sleep-wake activities (52,…”
MethodManera, V., Galperti, G., Rovini, E., Zeghari, R., Mancioppi, G., Fiorini, L., Gros, A., Mouton, A., Robert, P., & Cavallo, F. (2021) · Journal of Alzheimer's Disease · doi:10.3233/jad-200966 · Cited by 2 · see citing works
“However, also these scales are intrinsically subjective, and depends on the quality and quantity of information available [31], thus making apathy assessment, including the assessment of social apathy, strongly clinician-dependent.”
- Authors
- König, A., Sacco, G., Bensadoun, G., Bremond, F., David, R., Verhey, F., Aalten, P., Robert, P., & Manera, V.
- Affiliations
- Centre Hospitalier Universitaire de Nice (FR)
- Maastricht University Medical Centre (NL)
- Venue
- Frontiers in Aging Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2015-06-09
- Volume
- 7
- Pages
- 110-110
- ISSN
- 1663-4365 (ISSN-L)
- PMC
- PMC4460798
- OpenAlex
- W1545638744
- Cited by
- 12
- References
- 32
- Citations by year
- 2023: 1 · 2022: 2 · 2021: 2 · 2019: 1 · 2018: 3 · 2017: 1 · 2016: 1 · 2015: 1
- FWCI
- 1.63
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Aging Neuroscience (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, cc-by)
- HAL (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Funders
- European Commission (304979, 288199)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Ethics in Clinical Research
- Keywords
- information and communication technologies, clinical trials, Alzheimer's disease, dementia, patient participation, digital health
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
