Gallery Game: Smartphone-based assessment of long-term memory in adults at risk of Alzheimer’s disease

References

• Allard, M., Husky, M., Catheline, G., Pelletier, A., Dilharreguy, B., Amieva, H., … Swendsen, J. (2014). Mobile technologies in the early detection of cognitive decline. PloS One, 9(12), e112197.
   PubMed Web of Science ®Google Scholar
• Amieva, H., Le Goff, M., Millet, X., Orgogozo, J. M., Pérès, K., Barberger-Gateau, P., … Dartigues, J. F. (2008). Prodromal Alzheimer’s disease: Successive emergence of the clinical symptoms. Annals of Neurology, 64(5), 492–498.
   PubMed Web of Science ®Google Scholar
• Averell, L., & Heathcote, A. (2011). The form of the forgetting curve and the fate of memories. Journal of Mathematical Psychology, 55(1), 25–35.
   Web of Science ®Google Scholar
• Azur, M. J., Stuart, E. A., Frangakis, C., & Leaf, P. J. (2011). Multiple imputation by chained equations: What is it and how does it work? International Journal of Methods in Psychiatric Research, 20(1), 40–49.
   PubMed Web of Science ®Google Scholar
• Baker, J. E., Pietrzak, R. H., Laws, S. M., Ames, D., Villemagne, V. L., Rowe, C. C., … Lim, Y. Y. (2019). Visual paired associate learning deficits associated with elevated beta-amyloid in cognitively normal older adults. Neuropsychology, 33(7), 964–974.
   PubMed Web of Science ®Google Scholar
• Braak, H., & Braak, E. (1991). Neuropathological stageing of Alzheimer-related changes. Acta Neuropathologica, 82(4), 239–259.
   PubMed Web of Science ®Google Scholar
• Brodeur, M. B., Dionne-Dostie, E., Montreuil, T., & Lepage, M. (2010). The Bank of Standardized Stimuli (BOSS), a new set of 480 normative photos of objects to be used as visual stimuli in cognitive research. PloS One, 5(5), e10773.
   PubMed Web of Science ®Google Scholar
• Brown, G. S., & White, K. G. (2005). The optimal correction for estimating extreme discriminability. Behavior Research Methods, 37(3), 436–449.
   PubMed Web of Science ®Google Scholar
• Brysbaert, M., Buchmeier, M., Conrad, M., Jacobs, A. M., Bölte, J., & Böhl, A. (2011). The word frequency effect. Experimental Psychology, 58, 412–424.
   PubMed Web of Science ®Google Scholar
• Bussey, T. J., Saksida, L. M., & Murray, E. A. (2005). The perceptual-mnemonic/feature conjunction model of perirhinal cortex function. The Quarterly Journal of Experimental Psychology Section B, 58(3–4), 269–282.
   PubMed Web of Science ®Google Scholar
• Carlesimo, G. A., Sabbadini, M., Fadda, L., & Caltagirone, C. (1995). Forgetting from long-term memory in dementia and pure Amnesia: Role of task, delay of assessment and aetiology of cerebral damage. Cortex, 31(2), 285–300.
   PubMed Web of Science ®Google Scholar
• Carr, V. A., Bernstein, J. D., Favila, S. E., Rutt, B. K., Kerchner, G. A., & Wagner, A. D. (2017). Individual differences in associative memory among older adults explained by hippocampal subfield structure and function. Proceedings of the National Academy of Sciences, 114(45), 12075–12080.
   PubMed Web of Science ®Google Scholar
• Castel, A. D., Balota, D. A., Hutchison, K. A., Logan, J. M., & Yap, M. J. (2007). Spatial attention and response control in healthy younger and older adults and individuals with Alzheimer’s disease: Evidence for disproportionate selection impairments in the simon task. Neuropsychology, 21(2), 170–182.
   PubMed Web of Science ®Google Scholar
• Chinner, A., Blane, J., Lancaster, C., Hinds, C., & Koychev, I. (2018). Digital technologies for the assessment of cognition: A clinical review. Evidence-based Mental Health, 21(2), 67–71.
   PubMed Web of Science ®Google Scholar
• Cummings, J., Aisen, P., Barton, R., Bork, J., Doody, R., Dwyer, J., … Vradenburg, G. (2016). Re-engineering Alzheimer clinical trials: Global Alzheimer’s platform network. The Journal of Prevention of Alzheimer’s Disease, 3(2), 114–120.
   PubMedGoogle Scholar
• de Chastelaine, M., Mattson, J. T., Wang, T. H., Donley, B. E., & Rugg, M. D. (2017). Independent contributions of fMRI familiarity and novelty effects to recognition memory and their stability across the adult lifespan. Neuroimage, 156, 340–351. doi: 10.1016/j.neuroimage.2017.05.039
   PubMed Web of Science ®Google Scholar
• de Roquefeuil Guilhem, R. K. (2014). COGNITO: Computerized assessment of information processing. Journal of Psychology & Psychotherapy, 04(2). doi:10.4172/2161-0487.1000136
   Google Scholar
• de Rover, M., Pironti, V. A., McCabe, J. A., Acosta-Cabronero, J., Arana, F. S., Morein-Zamir, S., … Nestor, P. J. (2011). Hippocampal dysfunction in patients with mild cognitive impairment: A functional neuroimaging study of a visuospatial paired associates learning task. Neuropsychologia, 49(7), 2060–2070.
   PubMed Web of Science ®Google Scholar
• Diamond, A., & Sekhon, J. (2012). Genetic matching for estimating causal effects. The Review of Economics and Statistics, 95(July), 932–945.
   Google Scholar
• Donderi, D. C., & McFadden, S. (2005). Compressed file length predicts search time and errors on visual displays. Displays, 26(2), 71–78.
   Web of Science ®Google Scholar
• Doraiswamy, P. M., Narayan, V. A., & Manji, H. K. (2018). Mobile and pervasive computing technologies and the future of Alzheimer’s clinical trials. Npj Digital Medicine, 1(1), 1.
   PubMedGoogle Scholar
• Elliott, G., Isaac, C. L., & Muhlert, N. (2014). Measuring forgetting: A critical review of accelerated long-term forgetting studies. Cortex, 54(1), 16–32.
   PubMed Web of Science ®Google Scholar
• Ferguson, C. J. (2009). An effect size primer: A guide for clinicians and researchers. Professional Psychology: Research and Practice, 40(5), 532–538.
   Web of Science ®Google Scholar
• Finch, C. E. (2009). The neurobiology of middle-age has arrived. Neurobiology of Aging, 30(4), 515–520.
   PubMed Web of Science ®Google Scholar
• Fisher, J. S., & Radvansky, G. A. (2018). Patterns of forgetting. Journal of Memory and Language, 102, 130–141.
   Web of Science ®Google Scholar
• Fisher, J. S., & Radvansky, G. A. (2019). Linear forgetting. Journal of Memory and Language, 108, 104035.
   Web of Science ®Google Scholar
• Geurts, S., van der Werf, S. P., & Kessels, R. P. C. (2015). Accelerated forgetting? An evaluation on the use of long-term forgetting rates in patients with memory problems. Frontiers in Psychology, 6(June), 1–9.
   PubMedGoogle Scholar
• Glymour, M. M., Brickman, A. M., Kivimaki, M., Mayeda, E. R., Chêne, G., Dufouil, C., & Manly, J. J. (2018). Will biomarker-based diagnosis of Alzheimer’s disease maximize scientific progress? Evaluating proposed diagnostic criteria. European Journal of Epidemiology, 33(7), 607–612.
   PubMed Web of Science ®Google Scholar
• Grober, E., Hall, C. B., Lipton, R. B., Zonderman, A. B., Resnick, S. M., & Kawas, C. (2008). Memory impairment, executive dysfunction, and intellectual decline in preclinical Alzheimer’s disease. Journal of the International Neuropsychological Society, 14(2), 266–278.
   PubMed Web of Science ®Google Scholar
• Grund, S., Lüdtke, O., & Robitzsch, A. (2016). Multiple imputation of multilevel missing data: An introduction to the R package pan. SAGE Open, 6, 215824401666822.
   Web of Science ®Google Scholar
• Harvey, P. D., Cosentino, S., Curiel, R., Goldberg, T. E., Kaye, J., Loewenstein, D., ..., Posner, H. (2017). Performance-based and observational assessments in clinical trials across the alzheimer’s disease spectrum. Innovations in Clinical Neuroscience, 14(1–2), 30.
   Google Scholar
• Harvey, P. D., Cosentino, S., Curiel, R., Goldberg, T. E., Kaye, J., Loewenstein, D., … Posner, H. (2017). Performance-based and observational assessments in clinical trials across the Alzheimer’s disease spectrum. Innovations in Clinical Neuroscience, 14(1–2), 30.
   Google Scholar
• Hautus, M. J. (1995). Corrections for extreme proportions and their biasing effects on estimated values of d’. Behavior Research Methods, Instruments, & Computers, 27(1), 46–51.
   Google Scholar
• Hirni, D. I., Kivisaari, S. L., Monsch, A. U., & Taylor, K. I. (2013). Distinct neuroanatomical bases of episodic and semantic memory performance in Alzheimer’s disease. Neuropsychologia, 51(5), 930–937.
   PubMed Web of Science ®Google Scholar
• Irwin, K., Sexton, C., Daniel, T., Lawlor, B., & Naci, L. (2018). Healthy aging and dementia: Two roads diverging in midlife? Frontiers in Aging Neuroscience, 10(September), 1–12.
   PubMedGoogle Scholar
• Jongstra, S., Wijsman, L. W., Cachucho, R., Hoevenaar-Blom, M. P., Mooijaart, S. P., & Richard, E. (2017). Cognitive testing in people at increased risk of dementia using a smartphone app: The ivitality proof-of-principle study. JMIR MHealth and UHealth, 5(5), e68–e68.
   PubMed Web of Science ®Google Scholar
• Khanahmadi, M., Farhud, D. D., & Malmir, M. (2015). Genetic of Alzheimer’s disease: A narrative review article. Iranian Journal of Public Health, 44(7), 892.
   PubMed Web of Science ®Google Scholar
• Khosla, A., Raju, A. S., Torralba, A., & Oliva, A. (2015). Understanding and predicting image memorability at a large scale. In Proceedings of the IEEE International Conference on Computer Vision (pp. 2390–2398), Las Condes, Chile.
   Google Scholar
• Kivisaari, S. L., Monsch, A. U., & Taylor, K. I. (2013a). False positives to confusable objects predict medial temporal lobe atrophy. Hippocampus, 841(April), 832–841.
   Google Scholar
• Kivisaari, S. L., Probst, A., & Taylor, K. I. (2013b). The perirhinal, entorhinal, and parahippocampal cortices and hippocampus: An overview of functional anatomy and protocol for their segmentation in MR images. In S. Ulmer, O. Jansen (eds.)fMRI Basics and Clinical Applications (pp. 239–267).  Berlin Heidelberg: Springer.
   Google Scholar
• Kivisaari, S. L., Tyler, L. K., Monsch, A. U., & Taylor, K. I. (2012). Medial perirhinal cortex disambiguates confusable objects. Brain, 135(12), 3757–3769.
   PubMedGoogle Scholar
• Krumm, S., Kivisaari, S. L., Monsch, A. U., Reinhardt, J., Ulmer, S., Stippich, C., … Taylor, K. I. (2017). Parietal lobe critically supports successful paired immediate and single-item delayed memory for targets. Neurobiology of Learning and Memory, 141, 53–59.
   PubMed Web of Science ®Google Scholar
• Krumm, S., Kivisaari, S. L., Probst, A., Monsch, A. U., Reinhardt, J., Ulmer, S., … Taylor, K. I. (2016). Cortical thinning of parahippocampal subregions in very early Alzheimer’s disease. Neurobiology of Aging, 38, 188–196.
   PubMed Web of Science ®Google Scholar
• Lancaster, C., Koychev, I., Blane, J., Chinner, A., Wolters, L., & Hinds, C. (in press). The Mezurio smartphone application: Evaluating the feasibility of frequent digital cognitive assessment in the PREVENT dementia study.
   Google Scholar
• Laske, C., Sohrabi, H. R., Frost, S. M., López-de-Ipiña, K., Garrard, P., Buscema, M., … Linnemann, C. (2015). Innovative diagnostic tools for early detection of Alzheimer’s disease. Alzheimer’s & Dementia, 11(5), 561–578.
   PubMed Web of Science ®Google Scholar
• Lezak, M., Howieson, D., & Loring, D. (2012). Neuropsychological assessment (5th ed). Oxford, NY: Oxford University Press. ISBN, 10, 9780195395525.
   Google Scholar
• Lim, Y. Y., Jaeger, J., Harrington, K., Ashwood, T., Ellis, K. A., Stöffler, A., … Villemagne, V. L. (2013). Three-month stability of the CogState brief battery in healthy older adults, mild cognitive impairment, and Alzheimer’s disease: Results from the Australian Imaging, Biomarkers, and Lifestyle-rate of change substudy (AIBL-ROCS). Archives of Clinical Neuropsychology, 28(4), 320–330.
   PubMed Web of Science ®Google Scholar
• Lipsitz, S., Parzen, M., & Zhao, L. P. (2002). A degrees-of-freedom approximation in multiple imputation. Journal of Statistical Computation and Simulation, 72(4), 309–318.
   Web of Science ®Google Scholar
• Loewenstein, D. A., Curiel, R. E., Duara, R., & Buschke, H. (2018). Novel cognitive paradigms for the detection of memory impairment in preclinical Alzheimer’s disease. Assessment, 25(3), 348–359.
   PubMed Web of Science ®Google Scholar
• Machado, P., Romero, J., Nadal, M., Santos, A., Correia, J., & Carballal, A. (2015). Computerized measures of visual complexity ☆. ACTPSY, 160, 43–57.
   Google Scholar
• Macmillan, N. A., & Creelman, C. D. (2004). Detection theory: a user’s guide. Mahwah: Lawrence Erlbaum.
   Google Scholar
• Maher, J. M., Markey, J. C., & Ebert-May, D. (2013). The other half of the story: Effect size analysis in quantitative research. CBE Life Sciences Education, 12(3), 345–351.
   PubMed Web of Science ®Google Scholar
• Manes, F., Serrano, C., Calcagno, M. L., Cardozo, J., & Hodges, J. (2008). Accelerated forgetting in subjects with memory complaints. Journal of Neurology, 255(7), 1067–1070.
   PubMed Web of Science ®Google Scholar
• Michel, J.-B., Shen, Y. K., Aiden, A. P., Veres, A., Gray, M. K., Pickett, J. P., … Orwant, J. (2011). Quantitative analysis of culture using millions of digitized books. Science, 331(6014), 176–182.
   PubMed Web of Science ®Google Scholar
• Mioshi, E., Dawson, K., Mitchell, J., Arnold, R., & Hodges, J. R. (2006). The addenbrooke’s cognitive examination revised (ACE‐R): A brief cognitive test battery for dementia screening. International Journal of Geriatric Psychiatry: A Journal of the Psychiatry of Late Life and Allied Sciences, 21(11), 1078–1085.
   Google Scholar
• Mistridis, P., Krumm, S., Monsch, A. U., Berres, M., & Taylor, K. I. (2015). The 12 years preceding mild cognitive impairment due to Alzheimer’s disease. The Temporal Emergence of Cognitive Decline, 48, 1095–1107.
   Google Scholar
• Moore, R. C., Swendsen, J., & Depp, C. A. (2017). Applications for self-administered mobile cognitive assessments in clinical research: A systematic review. International Journal of Methods in Psychiatric Research, 26(4), e1562.
   Web of Science ®Google Scholar
• Mortamais, M., Ash, J. A., Harrison, J., Kaye, J., Kramer, J., Randolph, C., … Ritchie, K. (2016). Detecting cognitive changes in preclinical Alzheimer’s disease: A review of its feasibility. Alzheimer’s & Dementia, 13(October), 1–25.
   PubMedGoogle Scholar
• Munkres, J. (1957). Algorithms for the assignment and transportation problems. Journal of the Society for Industrial and Applied Mathematics, 5(1), 32–38.
   Google Scholar
• Noone, P. (2015). Addenbrooke’s cognitive examination-III. Occupational Medicine, 65(5), 418–420.
   PubMed Web of Science ®Google Scholar
• Olson, I. R., Page, K., Moore, K. S., Chatterjee, A., & Verfaellie, M. (2006). Working memory for conjunctions relies on the medial temporal lobe. Journal of Neuroscience, 26(17), 4596–4601.
   PubMed Web of Science ®Google Scholar
• Onnela, J., & Rauch, S. L. (2016). Harnessing smartphone-based digital phenotyping to enhance behavioral and mental health. Neuropsychopharmacology, 41(7), 1691–1696.
   PubMed Web of Science ®Google Scholar
• Qian, J., Wolters, F. J., Beiser, A., Haan, M., Ikram, M. A., Karlawish, J., … Seshadri, S. (2017). APOE-related risk of mild cognitive impairment and dementia for prevention trials: An analysis of four cohorts. PLoS Medicine, 14(3), e1002254.
   PubMed Web of Science ®Google Scholar
• Reijs, B. L., Ramakers, I. H., Köhler, S., Teunissen, C. E., Koel-Simmelink, M., Nathan, P. J., … Vandenberghe, R. (2017). Memory correlates of Alzheimer’s disease cerebrospinal fluid markers: A longitudinal cohort study. Journal of Alzheimer’s Disease, 60(3), 1119–1128.
   PubMed Web of Science ®Google Scholar
• Reiman, E. M. (2018). Long-term forgetting in preclinical Alzheimer’s disease. The Lancet Neurology, 17(2), 104–105.
   PubMed Web of Science ®Google Scholar
• Resnick, H. E., & Lathan, C. E. (2016). From battlefield to home: A mobile platform for assessing brain health. MHealth, 2, 30.
   PubMedGoogle Scholar
• Ritchie, C. W., & Ritchie, K. (2012). The PREVENT study: A prospective cohort study to identify mid-life biomarkers of late-onset Alzheimer’s disease. BMJ Open, 2(6), e001893.
   PubMed Web of Science ®Google Scholar
• Rubin, D. B., & Schenker, N. (1986). Multiple imputation for interval estimation from simple random samples with ignorable nonresponse. Journal of the American Statistical Association, 81, 366–374.
   Web of Science ®Google Scholar
• Sapkota, R. P., van der Linde, I., Lamichhane, N., Upadhyaya, T., & Pardhan, S. (2017). Patients with mild cognitive impairment show lower visual short-term memory performance in feature binding tasks. Dementia and Geriatric Cognitive Disorders Extra, 7(1), 74–86.
   PubMed Web of Science ®Google Scholar
• Schweitzer, P., Husky, M., Allard, M., Amieva, H., Pérès, K., Foubert‐Samier, A., … Swendsen, J. (2017). Feasibility and validity of mobile cognitive testing in the investigation of age‐related cognitive decline. International Journal of Methods in Psychiatric Research, 26(3), e1521.
   Web of Science ®Google Scholar
• Sekhon, J. S. (2011). Multivariate and propensity score matching software with automated balance optimization: the matching package for R. Journal of Statistical Software, 42(7), 1–52
   Google Scholar
• Stanislaw, H., & Todorov, N. (1999). Calculation of signal detection theory measures. Behavior Research Methods, Instruments, & Computers, 31(1), 137–149.
   PubMedGoogle Scholar
• Staresina, B. P., & Davachi, L. (2009). Mind the gap: Binding experiences across space and time in the human hippocampus. Neuron, 63(2), 267–276.
   PubMed Web of Science ®Google Scholar
• Taylor, K. I., Devereux, B. J., Acres, K., Randall, B., & Lorraine, K. (2012). Contrasting effects of feature-based statistics on the categorisation and identification of visual objects. Cognition, 122(3), 363–374.
   PubMed Web of Science ®Google Scholar
• Taylor, K. I., Devereux, B. J., Tyler, L. K., Taylor, K. I., Devereux, B. J., Conceptual, L. K. T., … Devereux, B. J. (2011). Conceptual structure : Towards an integrated neurocognitive account conceptual structure : Towards an integrated. Language and Cognitive Processes, 26(9), 1368–1401.
   PubMed Web of Science ®Google Scholar
• Taylor, K. I., Moss, H. E., Stamatakis, E. A., & Tyler, L. K. (2006). Binding crossmodal object features in perirhinal cortex. Proceedings of the National Academy of Sciences, USA, 103, 8239–8244.
   PubMed Web of Science ®Google Scholar
• Taylor, K. I., Moss, H. E., & Tyler, L. K. (2007). The conceptual structure account: A cognitive model of semantic memory and its neural instantiation. In J. Hart & M. Kraut (Eds.) The Neural Basis of Semantic Memory (pp. 265–301). Cambridge: Cambridge University Press.
   Google Scholar
• Taylor, K. I., & Probst, A. (2008). Anatomic localization of the transentorhinal region of the perirhinal cortex. Neurobiology of Aging, 29, 1591–1596.
   PubMed Web of Science ®Google Scholar
• Tyler, L. K., Chiu, S., Zhuang, J., Randall, B., Devereux, B. J., Wright, P., … Taylor, K. I. (2013). Objects and categories: Feature statistics and object processing in the ventral stream. Journal of Cognitive Neuroscience, 1–13. doi:10.1162/jocn_a_00419
   PubMed Web of Science ®Google Scholar
• Tyler, L. K., & Moss, H. E. (2001). Towards a distributed account of conceptual knowledge. Trends in Cognitive Sciences, 5(6), 244–252.
   PubMed Web of Science ®Google Scholar
• Tyler, L. K., Stamatakis, E. A., Bright, P., Acres, K., Abdallah, S., Rodd, J. M., & Moss, H. E. (2004). Processing objects at different levels of specificity. Journal of Cognitive Neuroscience, 16(3), 351–362.
   PubMed Web of Science ®Google Scholar
• van Buuren, S., Groothuis-Oudshoorn, K., Robitzsch, A., Vink, G., Doove, L., & Jolani, S. (2015). Package ‘mice’. Vienna: Comprehensive R Archive Network.
   Google Scholar
• van der Werf, S. P., Geurts, S., & de Werd, M. M. E. (2016). Subjective memory ability and long-term forgetting in patients referred for neuropsychological assessment. Frontiers in Psychology, 7, 605.
   PubMed Web of Science ®Google Scholar
• Walsh, C. M., Wilkins, S., Bettcher, B. M., Butler, C. R., Miller, B. L., & Kramer, J. H. (2014). Memory consolidation in aging and MCI after 1 week. Neuropsychology, 28(2), 273.
   PubMed Web of Science ®Google Scholar
• Zimmermann, J. F., & Butler, C. R. (2018). Accelerated long-term forgetting in asymptomatic APOE ε4 carriers. The Lancet Neurology, 17(5), 394–395.
   PubMed Web of Science ®Google Scholar