GLORIA

GEOMAR Library Ocean Research Information Access

X

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Association Between the Digital Clock Drawing Test and Neuropsychological Test Performance: Large Community-Based Prospective Cohort (Framingham Heart Study)
    JMIR Publications Inc. ; 2021
    In:  Journal of Medical Internet Research Vol. 23, No. 6 ( 2021-6-8), p. e27407-
    Details
    In: Journal of Medical Internet Research, JMIR Publications Inc., Vol. 23, No. 6 ( 2021-6-8), p. e27407-
    Abstract: The Clock Drawing Test (CDT) has been widely used in clinic for cognitive assessment. Recently, a digital Clock Drawing Text (dCDT) that is able to capture the entire sequence of clock drawing behaviors was introduced. While a variety of domain-specific features can be derived from the dCDT, it has not yet been evaluated in a large community-based population whether the features derived from the dCDT correlate with cognitive function. Objective We aimed to investigate the association between dCDT features and cognitive performance across multiple domains. Methods Participants from the Framingham Heart Study, a large community-based cohort with longitudinal cognitive surveillance, who did not have dementia were included. Participants were administered both the dCDT and a standard protocol of neuropsychological tests that measured a wide range of cognitive functions. A total of 105 features were derived from the dCDT, and their associations with 18 neuropsychological tests were assessed with linear regression models adjusted for age and sex. Associations between a composite score from dCDT features were also assessed for associations with each neuropsychological test and cognitive status (clinically diagnosed mild cognitive impairment compared to normal cognition). Results The study included 2062 participants (age: mean 62, SD 13 years, 51.6% women), among whom 36 were diagnosed with mild cognitive impairment. Each neuropsychological test was associated with an average of 50 dCDT features. The composite scores derived from dCDT features were significantly associated with both neuropsychological tests and mild cognitive impairment. Conclusions The dCDT can potentially be used as a tool for cognitive assessment in large community-based populations.
    Type of Medium: Online Resource
    ISSN: 1438-8871
    URL: Article
    DOI: 10.2196/27407
    Language: English
    Publisher: JMIR Publications Inc.
    Publication Date: 2021
    detail.hit.zdb_id: 2028830-X
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 2
    Online Resource
    Online Resource
    A - 3 Quantifying the Richness of the Boston Process Approach (BPA) Using a Novel Analytic Approach: the Framingham Heart Study
    Oxford University Press (OUP) ; 2023
    In:  Archives of Clinical Neuropsychology ( 2023-10-08)
    Details
    In: Archives of Clinical Neuropsychology, Oxford University Press (OUP), ( 2023-10-08)
    Abstract: Neuropsychological (NP) tests are often interpreted with a one test-one domain analytic approach in research, which misrepresents their clinical utility. The Boston Process Approach (BPA) allows for extraction of multi domain features within and across NP tests although its use is hampered by the data complexity and lack of objective quantification methods. In this study, we aim to develop a novel factor analytic approach that quantifies the richness of BPA data in the Framingham Heart Study (FHS). Method Data included BPA error scores (n = 172) derived from 10 baseline NP tests from 2238 Offspring participants. The outcome variable was dementia diagnosis. Factor analyses were conducted using Kemeny covariance matrix with maximum likelihood decomposition. Dwyer’s (1937) method was used to estimate factor loadings for demographic variables (sex, education, and age) and dementia status. Results Participants’ average age was 67.3 ± 9.3 years, 54.5% were female, 41.3% had education ≥ college degree, and 92.5% were without dementia. A bifactor model demonstrated adequate fit (TLI = 0.95, RMSEA = 0.03), similar to the best multi-factor model (TLI = 0.95, RMSEA = 0.03), and improved over a single factor model (TLI = 0.87, RMSEA = 0.05). Omega estimates revealed saturation in general factor versus total factor loadings (ratio: 0.90). Dementia status loaded highly on the general factor (0.82, h2 = 0.81), as did sex (0.44, h2 = 0.27). Conclusions BPA data fit a bifactor model, with most variation accounted for by the general factor. This study quantifies the richness of BPA measures into a single factor score that can be used as a predictor for several outcomes in clinical research.
    Type of Medium: Online Resource
    ISSN: 1873-5843
    URL: Article
    DOI: 10.1093/arclin/acad067.009
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 2003528-7
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 3
    Online Resource
    Online Resource
    Feasibility of frequent self‐administered mobile cognitive assessments in adults with and without cognitive impairment
    Wiley ; 2023
    In:  Alzheimer's & Dementia Vol. 19, No. S4 ( 2023-06)
    Details
    In: Alzheimer's & Dementia, Wiley, Vol. 19, No. S4 ( 2023-06)
    Abstract: Traditional paper and pencil approaches measure cognitive performance at one time point. Early indications of cognitive impairment often appear irregularly, suggesting diagnoses derived from a single session can fail to characterize normal fluctuations and lead to inaccurate conclusions. Mobile applications enable brief cognitive assessments to be completed frequently and remotely. However, the feasibility of older adults adhering to a schedule of repeated self‐administered cognitive assessments is unclear. We tested the repeated use of a mobile assessment among older adults as a potential method for collecting cognitive performance data to detect early signs of cognitive impairment. Method The current study included 33 participants (n = 23 cognitively unimpaired, n = 10 cognitively impaired) recruited from the Boston University Alzheimer’s Disease Center. A remote practice session using the Digital Automated Neurobehavioral Assessment (DANA) mobile application was completed prior to beginning an assessment schedule consisting of three assessments within the first week (segment 1) and one assessment per week during the following three weeks (segment 2). Feasibility was measured via schedule adherence across segments, stratified by age and cognitive status. Cognitive efficiency, a derived measure of speed and accuracy, was compared for the Procedural Reaction Time (PRT) task at the first assessment and longitudinally across segments 1 and 2. Demographics including age, sex, race, education, and mobile device type were also collected (Table 1). Result Across all segments, 90.9% of participants adhered to the assessment schedule with a ±1 day grace period applied. Adherence was similar between each segment, and by cognitive status and age group (Table 2). No significant differences in cognitive efficiency were observed on the PRT task between cognitive groups (Figures 1‐2, Table 3). Conclusion Our findings suggest that older adults, including those with cognitive impairment, are capable of completing self‐administered remote smartphone assessments at a high‐frequency. Traditional analytic methods failed to differentiate cognitive groups based on mean cognitive performance; however, between‐group comparisons could mask within‐person fluctuations characteristic of cognitive impairment. Therefore, further study with a longer longitudinal assessment period and larger sample size will be required to determine whether more advanced analyses can distinguish impairment status based on cognitive performance patterns.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    URL: Article
    DOI: 10.1002/alz.v19.S4
    DOI: 10.1002/alz.066006
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2201940-6
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 4
    Online Resource
    Online Resource
    Identification of digital voice biomarkers for cognitive health
    Open Exploration Publishing ; 2020
    In:  Exploration of Medicine Vol. 1, No. 6 ( 2020-12-31), p. 406-417
    Details
    In: Exploration of Medicine, Open Exploration Publishing, Vol. 1, No. 6 ( 2020-12-31), p. 406-417
    Abstract: Aim: Human voice contains rich information. Few longitudinal studies have been conducted to investigate the potential of voice to monitor cognitive health. The objective of this study is to identify voice biomarkers that are predictive of future dementia. Methods: Participants were recruited from the Framingham Heart Study. The vocal responses to neuropsychological tests were recorded, which were then diarized to identify participant voice segments. Acoustic features were extracted with the OpenSMILE toolkit (v2.1). The association of each acoustic feature with incident dementia was assessed by Cox proportional hazards models. Results: Our study included 6, 528 voice recordings from 4, 849 participants (mean age 63 ± 15 years old, 54.6% women). The majority of participants (71.2%) had one voice recording, 23.9% had two voice recordings, and the remaining participants (4.9%) had three or more voice recordings. Although all asymptomatic at the time of examination, participants who developed dementia tended to have shorter segments than those who were dementia free (P 〈 0.001). Additionally, 14 acoustic features were significantly associated with dementia after adjusting for multiple testing (P 〈 0.05/48 = 1 × 10–3). The most significant acoustic feature was jitterDDP_sma_de (P = 7.9 × 10–7), which represents the differential frame-to-frame Jitter. A voice based linear classifier was also built that was capable of predicting incident dementia with area under curve of 0.812. Conclusions: Multiple acoustic and linguistic features are identified that are associated with incident dementia among asymptomatic participants, which could be used to build better prediction models for passive cognitive health monitoring.
    Type of Medium: Online Resource
    ISSN: 2692-3106
    URL: Journal
    URL: Article
    DOI: 10.37349/emed
    DOI: 10.37349/emed.2020.00028
    Language: Unknown
    Publisher: Open Exploration Publishing
    Publication Date: 2020
    detail.hit.zdb_id: 3075034-9
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 5
    Online Resource
    Online Resource
    Table_1.DOCX
    Frontiers Media SA ; 2024
    In:  Frontiers in Neurology Vol. 15 ( 2024-2-15)
    Details
    In: Frontiers in Neurology, Frontiers Media SA, Vol. 15 ( 2024-2-15)
    Abstract: Although the growth of digital tools for cognitive health assessment, there’s a lack of known reference values and clinical implications for these digital methods. This study aims to establish reference values for digital neuropsychological measures obtained through the smartphone-based cognitive assessment application, Defense Automated Neurocognitive Assessment (DANA), and to identify clinical risk factors associated with these measures. Methods The sample included 932 cognitively intact participants from the Framingham Heart Study, who completed at least one DANA task. Participants were stratified into subgroups based on sex and three age groups. Reference values were established for digital cognitive assessments within each age group, divided by sex, at the 2.5th, 25th, 50th, 75th, and 97.5th percentile thresholds. To validate these values, 57 cognitively intact participants from Boston University Alzheimer’s Disease Research Center were included. Associations between 19 clinical risk factors and these digital neuropsychological measures were examined by a backward elimination strategy. Results Age- and sex-specific reference values were generated for three DANA tasks. Participants below 60 had median response times for the Go-No-Go task of 796 ms (men) and 823 ms (women), with age-related increases in both sexes. Validation cohort results mostly aligned with these references. Different tasks showed unique clinical correlations. For instance, response time in the Code Substitution task correlated positively with total cholesterol and diabetes, but negatively with high-density lipoprotein and low-density lipoprotein cholesterol levels, and triglycerides. Discussion This study established and validated reference values for digital neuropsychological measures of DANA in cognitively intact white participants, potentially improving their use in future clinical studies and practice.
    Type of Medium: Online Resource
    ISSN: 1664-2295
    URL: Article
    URL: Article
    DOI: 10.3389/fneur.2024.1340710
    DOI: 10.3389/fneur.2024.1340710.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2024
    detail.hit.zdb_id: 2564214-5
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 6
    Online Resource
    Online Resource
    Using data science to diagnose and characterize heterogeneity of Alzheimer's disease
    Wiley ; 2019
    In:  Alzheimer's & Dementia: Translational Research & Clinical Interventions Vol. 5, No. 1 ( 2019-01), p. 264-271
    Details
    In: Alzheimer's & Dementia: Translational Research & Clinical Interventions, Wiley, Vol. 5, No. 1 ( 2019-01), p. 264-271
    Abstract: Stepwise diagnosis rules for Alzheimer's disease (AD) dementia diagnosis. Heterogeneous AD profiles based on specific AD risk factors identified. Selection of important neuropsychological tests aid differential diagnoses. Grading system more reflective of dementia as a spectrum disorder. Automated diagnosis rules applicable to both within clinic and outside‐of‐clinic settings.
    Type of Medium: Online Resource
    ISSN: 2352-8737 , 2352-8737
    URL: Article
    DOI: 10.1016/j.trci.2019.05.002
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 2832891-7
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 7
    Online Resource
    Online Resource
    Multimodal, longitudinal digital brain health platform using participant‐driven study design
    Wiley ; 2023
    In:  Alzheimer's & Dementia Vol. 19, No. S4 ( 2023-06)
    Details
    In: Alzheimer's & Dementia, Wiley, Vol. 19, No. S4 ( 2023-06)
    Abstract: Longitudinal studies that embrace digital data collection offer a low cost, time‐efficient solution compared to traditional methods. As such, ongoing advances in data science combined with the wealth of data produced by digital technologies can enable a pragmatic shift from investigator‐ to participant‐driven protocols. A participant‐driven study design might bring major efficiencies across the life course of longitudinal studies. Method We recruited participants from the Boston University Alzheimer’s Disease Research Center to a longitudinal study on brain health utilizing a multimodal, technology‐based protocol. Remote assessment technologies included active and passive engagement mobile and computer‐based applications and wearable devices to capture digital measures of cognition, voice, gait, motor activity, and activities of daily living. A full list of study technologies is shown in Table 1 . Participants specify which technologies they would like to continue to use, providing a sense of ownership that promotes study participation. Result Through January 2022, a total of 22 participants (average age = 74.3+ 8.8 years; 68.2% women) have been recruited. The majority of participants (n = 21, 95.5%) have expressed a willingness to engage with multiple technologies. Among those enrolled for 〉 3 months, 14 participants (87.5%) have opted to use 3 or more technologies (mean number of technologies = 4.38). Several technologies only worked on specific operating systems (NeuraMetrix, Longevity). Compatibility (n = 16, 72.7%) was the most frequent factor in leading a participant to not use a study technology, followed by concern over the burden of using an additional device or application (n = 14, 63.6%). The most common factor leading participants to select a given technology was the availability of participant‐facing data (n = 15, 68.2%), such as step counts or scores on gamified cognitive tests. Conclusion Through the use of a participant‐driven study design, we have been able to conduct longitudinal brain health digital phenotyping with high uptake of digital technologies. Participant’s selections offer insights to investigators assessing which technologies to use in clinical research. Digital data collection opens opportunities for participant‐driven approaches that can enable longitudinal follow‐up with broader more inclusive reach with appropriate retention of data quality.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    URL: Article
    DOI: 10.1002/alz.v19.S4
    DOI: 10.1002/alz.066121
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2201940-6
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 8
    Online Resource
    Online Resource
    Association Between Acoustic Features and Neuropsychological Test Performance in the Framingham Heart Study: Observational Study
    JMIR Publications Inc. ; 2022
    In:  Journal of Medical Internet Research Vol. 24, No. 12 ( 2022-12-22), p. e42886-
    Details
    In: Journal of Medical Internet Research, JMIR Publications Inc., Vol. 24, No. 12 ( 2022-12-22), p. e42886-
    Abstract: Human voice has increasingly been recognized as an effective indicator for the detection of cognitive disorders. However, the association of acoustic features with specific cognitive functions and mild cognitive impairment (MCI) has yet to be evaluated in a large community-based population. Objective This study aimed to investigate the association between acoustic features and neuropsychological (NP) tests across multiple cognitive domains and evaluate the added predictive power of acoustic composite scores for the classification of MCI. Methods This study included participants without dementia from the Framingham Heart Study, a large community-based cohort with longitudinal surveillance for incident dementia. For each participant, 65 low-level acoustic descriptors were derived from voice recordings of NP test administration. The associations between individual acoustic descriptors and 18 NP tests were assessed with linear mixed-effect models adjusted for age, sex, and education. Acoustic composite scores were then built by combining acoustic features significantly associated with NP tests. The added prediction power of acoustic composite scores for prevalent and incident MCI was also evaluated. Results The study included 7874 voice recordings from 4950 participants (age: mean 62, SD 14 years; 4336/7874, 55.07% women), of whom 453 were diagnosed with MCI. In all, 8 NP tests were associated with more than 15 acoustic features after adjusting for multiple testing. Additionally, 4 of the acoustic composite scores were significantly associated with prevalent MCI and 7 were associated with incident MCI. The acoustic composite scores can increase the area under the curve of the baseline model for MCI prediction from 0.712 to 0.755. Conclusions Multiple acoustic features are significantly associated with NP test performance and MCI, which can potentially be used as digital biomarkers for early cognitive impairment monitoring.
    Type of Medium: Online Resource
    ISSN: 1438-8871
    URL: Article
    DOI: 10.2196/42886
    Language: English
    Publisher: JMIR Publications Inc.
    Publication Date: 2022
    detail.hit.zdb_id: 2028830-X
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 9
    Online Resource
    Online Resource
    Exploring the Hierarchical Influence of Cognitive Functions for Alzheimer Disease: The Framingham Heart Study
    JMIR Publications Inc. ; 2020
    In:  Journal of Medical Internet Research Vol. 22, No. 4 ( 2020-4-23), p. e15376-
    Details
    In: Journal of Medical Internet Research, JMIR Publications Inc., Vol. 22, No. 4 ( 2020-4-23), p. e15376-
    Abstract: Although some neuropsychological (NP) tests are considered more central for the diagnosis of Alzheimer disease (AD), there is a lack of understanding about the interaction between different cognitive tests. Objective This study aimed to demonstrate a global view of hierarchical probabilistic dependencies between NP tests and the likelihood of cognitive impairment to assist physicians in recognizing AD precursors. Methods Our study included 2091 participants from the Framingham Heart Study. These participants had undergone a variety of NP tests, including Wechsler Memory Scale, Wechsler Adult Intelligence Scale, and Boston Naming Test. Heterogeneous cognitive Bayesian networks were developed to understand the relationship between NP tests and the cognitive status. The performance of probabilistic inference was evaluated by the 10-fold cross validation. Results A total of 4512 NP tests were used to build the Bayesian network for the dementia diagnosis. The network demonstrated conditional dependency between different cognitive functions that precede the development of dementia. The prediction model reached an accuracy of 82.24%, with sensitivity of 63.98% and specificity of 92.74%. This probabilistic diagnostic system can also be applied to participants that exhibit more heterogeneous profiles or with missing responses for some NP tests. Conclusions We developed a probabilistic dependency network for AD diagnosis from 11 NP tests. Our study revealed important psychological functional segregations and precursor evidence of AD development and heterogeneity.
    Type of Medium: Online Resource
    ISSN: 1438-8871
    URL: Article
    DOI: 10.2196/15376
    Language: English
    Publisher: JMIR Publications Inc.
    Publication Date: 2020
    detail.hit.zdb_id: 2028830-X
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 10
    Online Resource
    Online Resource
    Associations Between the Digital Clock Drawing Test and Brain Volume: Large Community-Based Prospective Cohort (Framingham Heart Study)
    JMIR Publications Inc. ; 2022
    In:  Journal of Medical Internet Research Vol. 24, No. 4 ( 2022-4-15), p. e34513-
    Details
    In: Journal of Medical Internet Research, JMIR Publications Inc., Vol. 24, No. 4 ( 2022-4-15), p. e34513-
    Abstract: The digital Clock Drawing Test (dCDT) has been recently used as a more objective tool to assess cognition. However, the association between digitally obtained clock drawing features and structural neuroimaging measures has not been assessed in large population-based studies. Objective We aimed to investigate the association between dCDT features and brain volume. Methods This study included participants from the Framingham Heart Study who had both a dCDT and magnetic resonance imaging (MRI) scan, and were free of dementia or stroke. Linear regression models were used to assess the association between 18 dCDT composite scores (derived from 105 dCDT raw features) and brain MRI measures, including total cerebral brain volume (TCBV), cerebral white matter volume, cerebral gray matter volume, hippocampal volume, and white matter hyperintensity (WMH) volume. Classification models were also built from clinical risk factors, dCDT composite scores, and MRI measures to distinguish people with mild cognitive impairment (MCI) from those whose cognition was intact. Results A total of 1656 participants were included in this study (mean age 61 years, SD 13 years; 50.9% women), with 23 participants diagnosed with MCI. All dCDT composite scores were associated with TCBV after adjusting for multiple testing (P value 〈 .05/18). Eleven dCDT composite scores were associated with cerebral white matter volume, but only 1 dCDT composite score was associated with cerebral gray matter volume. None of the dCDT composite scores was associated with hippocampal volume or WMH volume. The classification model for differentiating MCI and normal cognition participants, which incorporated age, sex, education, MRI measures, and dCDT composite scores, showed an area under the curve of 0.897. Conclusions dCDT composite scores were significantly associated with multiple brain MRI measures in a large community-based cohort. The dCDT has the potential to be used as a cognitive assessment tool in the clinical diagnosis of MCI.
    Type of Medium: Online Resource
    ISSN: 1438-8871
    URL: Article
    DOI: 10.2196/34513
    Language: English
    Publisher: JMIR Publications Inc.
    Publication Date: 2022
    detail.hit.zdb_id: 2028830-X
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...