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Memorability of photographs in subjective cognitive decline and mild cognitive impairment: implications for cognitive assessment [article]

Wilma A. Bainbridge, David Berron, Hartmut Schütze, Arturo Cardenas-Blanco, Coraline Metzger, Laura Dobisch, Daniel Bittner, Wenzel Glanz, Annika Spottke, Janna Rudolph, Frederic Brosseron, Katharina Buerger (+22 others)
2019 biorxiv/medrxiv   pre-print
INTRODUCTION: Impaired long-term memory is a defining feature of Mild Cognitive Impairment (MCI). We tested whether this impairment is item-specific, limited to some memoranda whereas some remain consistently memorable. METHODS: We conducted item-based analyses of long-term visual recognition memory. 394 participants (healthy controls (HC), Subjective Cognitive Decline (SCD), and MCI) in the multicentric DZNE-Longitudinal Cognitive Impairment and Dementia Study (DELCODE) were tested with images
more » ... from a pool of 835 photographs. RESULTS: We observed consistent memorability for images in HCs, SCDs, and MCI, predictable by a neural network trained on another healthy sample. Looking at memorability differences between groups, we identified images that could successfully categorize group membership with higher success and a substantial image reduction than the original image set. DISCUSSION: Individuals with SCD and MCI show consistent memorability for specific items, while other items show significant diagnosticity. Certain stimulus features could optimize diagnostic assessment, while others could support memory.
doi:10.1101/660365 fatcat:whry6zdvtvbhbbl235ociwcume

Which features of subjective cognitive decline are related to amyloid pathology? Findings from the DELCODE study

Lisa Miebach, Steffen Wolfsgruber, Alexandra Polcher, Oliver Peters, Felix Menne, Katja Luther, Enise Incesoy, Josef Priller, Eike Spruth, Slawek Altenstein, Katharina Buerger, Cihan Catak (+23 others)
2019 Alzheimer's Research & Therapy  
Subjective cognitive decline (SCD) has been proposed as a pre-MCI at-risk condition of Alzheimer's disease (AD). Current research is focusing on a refined assessment of specific SCD features associated with increased risk for AD, as proposed in the SCD-plus criteria. We developed a structured interview (SCD-I) for the assessment of these features and tested their relationship with AD biomarkers.
doi:10.1186/s13195-019-0515-y pmid:31366409 pmcid:PMC6668160 fatcat:m2ovbe62gfaw3lqop2ktiv66si

Multimodal MRI analysis of basal forebrain structure and function across the Alzheimer's disease spectrum

Meret Herdick, Martin Dyrba, Hans-Christian J. Fritz, Slawek Altenstein, Tommaso Ballarini, Frederic Brosseron, Katharina Buerger, Arda Can Cetindag, Peter Dechent, Laura Dobisch, Emrah Duezel, Birgit Ertl-Wagner (+24 others)
2020 NeuroImage: Clinical  
Slawek Altenstein: Resources, Writingreview & editing. Tommaso Ballarini: Resources, Writing -review & editing. Frederic Brosseron: Resources, Writing -review & editing.  ... 
doi:10.1016/j.nicl.2020.102495 pmid:33395986 pmcid:PMC7689403 fatcat:tqrthlwqerhmfaz6wku35zzn24

Memorability of photographs in subjective cognitive decline and mild cognitive impairment: Implications for cognitive assessment

Wilma A. Bainbridge, David Berron, Hartmut Schütze, Arturo Cardenas-Blanco, Coraline Metzger, Laura Dobisch, Daniel Bittner, Wenzel Glanz, Annika Spottke, Janna Rudolph, Frederic Brosseron, Katharina Buerger (+22 others)
2019 Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring  
Impaired long-term memory is a defining feature of mild cognitive impairment (MCI). We tested whether this impairment is item specific, limited to some memoranda, whereas some remain consistently memorable. We conducted item-based analyses of long-term visual recognition memory. Three hundred ninety-four participants (healthy controls, subjective cognitive decline [SCD], and MCI) in the multicentric DZNE-Longitudinal Cognitive Impairment and Dementia Study (DELCODE) were tested with images from
more » ... a pool of 835 photographs. We observed consistent memorability for images in healthy controls, SCD, and MCI, predictable by a neural network trained on another healthy sample. Looking at memorability differences between groups, we identified images that could successfully categorize group membership with higher success and a substantial image reduction than the original image set. Individuals with SCD and MCI show consistent memorability for specific items, while other items show significant diagnosticity. Certain stimulus features could optimize diagnostic assessment, while others could support memory.
doi:10.1016/j.dadm.2019.07.005 pmid:31517023 pmcid:PMC6732671 fatcat:zmmcanyajzbppon6f6pj5cffq4

CSF total tau levels are associated with hippocampal novelty irrespective of hippocampal volume

Emrah Düzel, David Berron, Hartmut Schütze, Arturo Cardenas-Blanco, Coraline Metzger, Matthew Betts, Gabriel Ziegler, Yi Chen, Laura Dobisch, Daniel Bittner, Wenzel Glanz, Martin Reuter (+28 others)
2018 Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring  
Altenstein, Alfredo Ramirez, Anja Schneider, Barbara Kofler, Stefan Teipel, Ingo Kilimann, Martin Dyrba, Jens Wiltfang, Claudia Bartels, Steffen Wolfsgruber, and Michael Wagner contributed to acquisition  ...  Brosseron, Katharina Buerger, Daniel Janowitz, Klaus Fliessbach, Michael Heneka, Christoph Laske, Martina Buchmann, Peter Nestor, Oliver Peters, Dominik Diesing, Siyao Li, Josef Priller, Eike Jakob Spruth, Slawek  ... 
doi:10.1016/j.dadm.2018.10.003 pmid:30555890 pmcid:PMC6280588 fatcat:pfmocw4iija7fctxc7jlrjknfy

Association between composite scores of domain specific cognitive functions and regional patterns of atrophy and functional connectivity in the Alzheimer's disease spectrum

Chimezie O. Amaefule, Martin Dyrba, Steffen Wolfsgruber, Alexandra Polcher, Anja Schneider, Klaus Fliessbach, Annika Spottke, Dix Meiberth, Lukas Preis, Oliver Peters, Enise I. Incesoy, Eike Spruth (+21 others)
2020 NeuroImage: Clinical  
Slawek Altenstein: Investigation. Claudia Bartels: Investigation. Jens Wiltfang: Investigation. Daniel Janowitz: Investigation. Katharina Bürger: Investigation. Christoph Laske: Investigation.  ... 
doi:10.1016/j.nicl.2020.102533 pmid:33360018 pmcid:PMC7770965 fatcat:v64esptikrfz7bfr6uzjabgkq4

Neuropsychiatric symptoms in at-risk groups for AD dementia and their association with worry and AD biomarkers—results from the DELCODE study

Lena Sannemann, for the DELCODE Study Group, Ann-Katrin Schild, Slawek Altenstein, Claudia Bartels, Frederic Brosseron, Katharina Buerger, Nicoleta Carmen Cosma, Klaus Fliessbach, Silka Dawn Freiesleben, Wenzel Glanz, Michael T. Heneka (+23 others)
2020 Alzheimer's Research & Therapy  
Background Early identification of individuals at risk of dementia is mandatory to implement prevention strategies and design clinical trials that target early disease stages. Subjective cognitive decline (SCD) and neuropsychiatric symptoms (NPS) have been proposed as potential markers for early manifestation of Alzheimer's disease (AD). We aimed to investigate the frequency of NPS in SCD, in other at-risk groups, in healthy controls (CO), and in AD patients, and to test the association of NPS
more » ... ith AD biomarkers, with a particular focus on cognitively unimpaired participants with or without SCD-related worries. Methods We analyzed data of n = 687 participants from the German DZNE Longitudinal Cognitive Impairment and Dementia (DELCODE) study, including the diagnostic groups SCD (n = 242), mild cognitive impairment (MCI, n = 115), AD (n = 77), CO (n = 209), and first-degree relatives of AD patients (REL, n = 44). The Neuropsychiatric Inventory Questionnaire (NPI-Q), Geriatric Depression Scale (GDS-15), and Geriatric Anxiety Inventory (GAI-SF) were used to assess NPS. We examined differences of NPS frequency between diagnostic groups. Logistic regression analyses were carried out to further investigate the relationship between NPS and cerebrospinal fluid (CSF) AD biomarkers, focusing on a subsample of cognitively unimpaired participants (SCD, REL, and CO), who were further differentiated based on reported worries. Results The numbers of reported NPS, depression scores, and anxiety scores were significantly higher in subjects with SCD compared to CO. The quantity of reported NPS in subjects with SCD was lower compared to the MCI and AD group. In cognitively unimpaired subjects with worries, low Aß42 was associated with higher rates of reporting two or more NPS (OR 0.998, 95% CI 0.996–1.000, p < .05). Conclusion These findings give insight into the prevalence of NPS in different diagnostic groups, including SCD and healthy controls. NPS based on informant report seem to be associated with underlying AD pathology in cognitively unimpaired participants who worry about cognitive decline. Trial registration German Clinical Trials Register DRKS00007966. Registered 4 May 2015.
doi:10.1186/s13195-020-00701-7 pmid:33066827 fatcat:2ecfwo2dg5aqpi7l6rc3e5w7ai

Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease [article]

Martin Dyrba, Moritz Hanzig, Slawek Altenstein, Sebastian Bader, Tommaso Ballarini, Frederic Brosseron, Katharina Buerger, Daniel Cantré, Peter Dechent, Laura Dobisch, Emrah Düzel, Michael Ewers (+28 others)
2021 accepted
Although convolutional neural networks (CNN) achieve high diagnostic accuracy for detecting Alzheimer's disease (AD) dementia based on magnetic resonance imaging (MRI) scans, they are not yet applied in clinical routine. One important reason for this is a lack of model comprehensibility. Recently developed visualization methods for deriving CNN relevance maps may help to fill this gap. We investigated whether models with higher accuracy also rely more on discriminative brain regions predefined
more » ... y prior knowledge. Methods: We trained a CNN for the detection of AD in N=663 T1-weighted MRI scans of patients with dementia and amnestic mild cognitive impairment (MCI) and verified the accuracy of the models via cross-validation and in three independent samples including N=1655 cases. We evaluated the association of relevance scores and hippocampus volume to validate the clinical utility of this approach. To improve model comprehensibility, we implemented an interactive visualization of 3D CNN relevance maps. Results: Across three independent datasets, group separation showed high accuracy for AD dementia vs. controls (AUC≥0.92) and moderate accuracy for MCI vs. controls (AUC≈0.75). Relevance maps indicated that hippocampal atrophy was considered as the most informative factor for AD detection, with additional contributions from atrophy in other cortical and subcortical regions. Relevance scores within the hippocampus were highly correlated with hippocampal volumes (Pearson's r≈-0.86, p<0.001). Conclusion: The relevance maps highlighted atrophy in regions that we had hypothesized a priori. This strengthens the comprehensibility of the CNN models, which were trained in a purely data-driven manner based on the scans and diagnosis labels.
doi:10.1186/s13195-021-00924-2 pmid:34814936 pmcid:PMC8611898 arXiv:2012.10294v5 fatcat:e3svvu3p7zcrre2lnijzv3etpq