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Griffen C, Cullen T, Hattersley J, Weickert MO, Dallaway A, Duncan M, Renshaw D. Effects of resistance exercise and whey protein supplementation on cognitive function in older men: secondary analysis of a randomised, double-blind, placebo-controlled trial. Exp Gerontol 2024; 193:112477. [PMID: 38844183 DOI: 10.1016/j.exger.2024.112477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Revised: 05/22/2024] [Accepted: 06/02/2024] [Indexed: 06/09/2024]
Abstract
PURPOSE Ageing is associated with cognitive decline. This study investigated the individual and combined effects of resistance exercise (RE) and whey protein supplementation (PRO) on cognitive function in older men. METHODS In a pooled-groups analysis, 36 older men (age: 67 ± 4 years) were randomised to either RE (2 x/week; n = 18) or no exercise (NE; n = 18), and either PRO (2 × 25 g/d whey protein isolate; n = 18) or control (CON, 2 × 23.75 g maltodextrin/d; n = 18). A sub-analysis was also conducted between RE + CON (n = 9) and RE + PRO (n = 9). At baseline and 12 weeks, participants completed a battery of neuropsychological tests (CANTAB; Cambridge Cognition, UK) and neurobiological, inflammatory, salivary cortisol and insulin sensitivity biomarkers were quantified. RESULTS PRO improved executive function z-score (+0.31 ± 0.08) greater than CON (+0.06 ± 0.08, P = 0.03) and there was a trend towards improved global cognitive function (P = 0.053). RE and RE + PRO did not improve any cognitive function domains (p ≥ 0.07). RE decreased tumor necrosis factor-alpha (P = 0.02) and interleukin-6 (P = 0.048) concentrations compared to NE, but changes in biomarkers did not correlate with changes in cognitive domains. Muscle strength (r = 0.34, P = 0.045) and physical function (ρ = 0.35-0.51, P < 0.05) outcomes positively correlated with cognitive function domains at baseline, but only Δskeletal muscle index correlated with Δepisodic memory (r = 0.34, P = 0.046) following the intervention. CONCLUSION In older men, PRO improved cognitive function, most notably executive functioning. RE did not improve any cognitive function domains but did decrease biomarkers of systemic inflammation. No synergistic effects were observed.
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Affiliation(s)
- Corbin Griffen
- Centre for Health and Life Sciences, Coventry University, Coventry CV1 2DS, United Kingdom; Human Metabolism Research Unit, University Hospitals Coventry and Warwickshire NHS Trust, Coventry CV2 2DX, United Kingdom.
| | - Tom Cullen
- Centre for Physical Activity, Sport and Exercise Sciences, Coventry University, Coventry CV1 2DS, United Kingdom
| | - John Hattersley
- Centre for Health and Life Sciences, Coventry University, Coventry CV1 2DS, United Kingdom; Human Metabolism Research Unit, University Hospitals Coventry and Warwickshire NHS Trust, Coventry CV2 2DX, United Kingdom; School of Engineering, University of Warwick, Coventry CV4 7HL, United Kingdom
| | - Martin O Weickert
- Centre for Health and Life Sciences, Coventry University, Coventry CV1 2DS, United Kingdom; Department of Endocrinology and Diabetes, University Hospitals Coventry and Warwickshire NHS Trust, Coventry CV2 2DX, United Kingdom; Warwick Medical School, University of Warwick, Coventry CV4 7AL, United Kingdom; School of Life Sciences, Faculty of Health and Life Sciences, Coventry University, Coventry CV1 2DS, United Kingdom
| | - Alexander Dallaway
- Centre for Health and Life Sciences, Coventry University, Coventry CV1 2DS, United Kingdom; Human Metabolism Research Unit, University Hospitals Coventry and Warwickshire NHS Trust, Coventry CV2 2DX, United Kingdom; Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry CV2 2DX, United Kingdom
| | - Michael Duncan
- Centre for Physical Activity, Sport and Exercise Sciences, Coventry University, Coventry CV1 2DS, United Kingdom; School of Life Sciences, Faculty of Health and Life Sciences, Coventry University, Coventry CV1 2DS, United Kingdom
| | - Derek Renshaw
- Centre for Health and Life Sciences, Coventry University, Coventry CV1 2DS, United Kingdom
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2
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Ichii S, Oba H, Sugimura Y, Yang Y, Shoji M, Ihara K. A Longitudinal Study of CogEvo's Prediction of Cognitive Decline in Older Adults. Healthcare (Basel) 2024; 12:1379. [PMID: 39057523 PMCID: PMC11275605 DOI: 10.3390/healthcare12141379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 07/03/2024] [Accepted: 07/05/2024] [Indexed: 07/28/2024] Open
Abstract
The predictive abilities of computer-based screening devices for early cognitive decline (CD) in older adults have rarely been longitudinally examined. Therefore, this study examined the ability of CogEvo, a short-duration, computer-based cognitive screening device requiring little professional involvement, to predict CD among community-dwelling older adults. We determined whether 119 individuals aged ≥ 65 years living in Japanese rural communities who scored ≥ 24 on the Mini-Mental State Examination (MMSE) at baseline developed CD by annually administering the MMSE to them. CD was defined as an MMSE score of ≤23. At baseline, the overall CogEvo judgment grade, with lower grades indicating better cognitive function, was calculated from the results of various cognitive tasks. Over 2 years, 10 participants developed CD. Participants with grades of 4 had a higher percentage of CD cases than those with grades of ≤3 (p < 0.01). This relationship remained significant after controlling for possible confounders, including the MMSE score at baseline. The sensitivity and specificity of the CogEvo grade cutoff of 4 were 50.0% and 93.6%, respectively. In conclusion, CogEvo may be an efficient tool for identifying individuals at a high risk for dementia. The possibility of missing CD cases should be considered when using CogEvo for screening.
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Affiliation(s)
- Sadanobu Ichii
- Department of Social Medicine, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan; (S.I.); (Y.S.); (Y.Y.)
| | - Hikaru Oba
- Graduate School of Health Sciences, Hirosaki University, Hirosaki 036-8564, Japan;
| | - Yoshikuni Sugimura
- Department of Social Medicine, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan; (S.I.); (Y.S.); (Y.Y.)
| | - Yichi Yang
- Department of Social Medicine, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan; (S.I.); (Y.S.); (Y.Y.)
| | - Mikio Shoji
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi 371-8511, Japan;
| | - Kazushige Ihara
- Department of Social Medicine, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan; (S.I.); (Y.S.); (Y.Y.)
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Tikkanen V, Krüger J, Heikkinen AL, Hänninen T, Hublin C, Koivisto AM, Virkkala J, Saari TT, Remes AM, Paajanen TI. A Novel Computerized Flexible Attention Test in Detecting Executive Dysfunction of Patients with Early-Onset Cognitive Impairment and Dementia. Arch Clin Neuropsychol 2024:acae026. [PMID: 38581151 DOI: 10.1093/arclin/acae026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 01/06/2024] [Accepted: 03/18/2024] [Indexed: 04/08/2024] Open
Abstract
OBJECTIVE The number of computer-based cognitive tests has increased in recent years, but there is a need for tests focusing on the assessment of executive function (EF), as it can be crucial for the identification of early-onset neurodegenerative disorders. This study aims to examine the ability of the Flexible Attention Test (FAT), a new computer-based test battery for detecting executive dysfunction of early-onset cognitive impairment and dementia patients. METHOD We analyzed the FAT subtask results in memory clinic patients with cognitive symptom onset at ≤65 years. The patients were divided into four groups: early onset dementia (EOD, n = 48), mild cognitive impairment due to neurological causes (MCI-n, n = 34), MCI due to other causes (MCI-o, n = 99), and subjective cognitive decline (SCD, n = 14). The test accuracy to distinguish EOD patients from other groups was examined, as well as correlations with pen-and-paper EF tests. We also reported the 12-months follow-up results. RESULTS The EOD and MCI-n patients performed significantly poorer (p ≤ .002) than those in the MCI-o and SCD groups in most of the FAT subtasks. The accuracies of the FAT subtasks to detect EOD from other causes were mainly moderate (0.34 ≤ area under the curve < 0.74). The FAT subtasks correlated logically with corresponding pen-and-paper EF tests (.15 ≤ r ≤ .75). No systematic learning effects were detected in the FAT performance at follow-up. CONCLUSIONS The FAT appears to be a promising method for the precise evaluation of EF and applicable distinguishing early-onset neurodegenerative disorders from patients with other causes of cognitive problems.
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Affiliation(s)
- Veera Tikkanen
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- MRC, Oulu University Hospital, Oulu, Finland
- Neurocenter, Neurology, Oulu University Hospital, Oulu, Finland
| | - Johanna Krüger
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- MRC, Oulu University Hospital, Oulu, Finland
- Neurocenter, Neurology, Oulu University Hospital, Oulu, Finland
| | - Anna-Leena Heikkinen
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- MRC, Oulu University Hospital, Oulu, Finland
- Neurocenter, Neurology, Oulu University Hospital, Oulu, Finland
- Work Ability and Working Careers Unit, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Tuomo Hänninen
- Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Christer Hublin
- Work Ability and Working Careers Unit, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Anne M Koivisto
- Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
- Unit of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Geriatrics, Helsinki University Hospital, Helsinki, Finland
- Clinical Neurosciences, University of Helsinki, Helsinki, Finland
| | - Jussi Virkkala
- Work Ability and Working Careers Unit, Finnish Institute of Occupational Health, Helsinki, Finland
- Clinical Neurophysiology and Clinical Neurosciences, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Toni T Saari
- Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
- Unit of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Anne M Remes
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- MRC, Oulu University Hospital, Oulu, Finland
- Neurocenter, Neurology, Oulu University Hospital, Oulu, Finland
- Clinical Neurosciences, University of Helsinki, Helsinki, Finland
| | - Teemu I Paajanen
- Work Ability and Working Careers Unit, Finnish Institute of Occupational Health, Helsinki, Finland
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4
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Benge JF, Aguirre A, Scullin MK, Kiselica A, Hilsabeck RC, Paydarfar D, Thomaz E, Douglas M. Digital Methods for Performing Daily Tasks Among Older Adults: An Initial Report of Frequency of Use and Perceived Utility. Exp Aging Res 2024; 50:133-154. [PMID: 36739553 PMCID: PMC11250545 DOI: 10.1080/0361073x.2023.2172950] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 01/22/2023] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Digital technologies permit new ways of performing instrumental activities of daily living (iADLs) for older adults, but these approaches are not usually considered in existing iADL measures. The current study investigated how a sample of older adults report using digital versus analog approaches for iADLs. METHOD 248 older adults completed the Digital and Analog Daily Activities Survey, a newly developed measure of how an individual performs financial, navigation, medication, and other iADLs. RESULTS The majority of participants reported regularly using digital methods for some iADLs, such as paying bills (67.7%) and using GPS (67.7%). Low digital adopters were older than high adopters (F(2, 245) = 12.24, p < .001), but otherwise the groups did not differ in terms of gender, years of education, or history of neurological disorders. Participants who used digital methods relatively more than analog methods reported greater levels of satisfaction with their approach and fewer daily errors. CONCLUSIONS Many older adults have adopted digital technologies for supporting daily tasks, which suggests limitations to the validity of current iADL assessments. By capitalizing on existing habits and enriching environments with new technologies, there are opportunities to promote technological reserve in older adults in a manner that sustains daily functioning.
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Affiliation(s)
- Jared F Benge
- Department of Neurology, University of Texas at Austin, Austin, TX, USA
- Mulva Clinic for the Neurosciences, University of Texas at Austin, Austin, TX, USA
| | - Alyssa Aguirre
- Department of Neurology, University of Texas at Austin, Austin, TX, USA
- Mulva Clinic for the Neurosciences, University of Texas at Austin, Austin, TX, USA
| | - Michael K Scullin
- Department of Psychology and Neurosciences, Baylor University, Waco, TX, USA
| | - Andrew Kiselica
- Department of Health Psychology, University of Missouri, Columbia, MO, USA
| | - Robin C Hilsabeck
- Department of Neurology, University of Texas at Austin, Austin, TX, USA
- Mulva Clinic for the Neurosciences, University of Texas at Austin, Austin, TX, USA
| | - David Paydarfar
- Department of Neurology, University of Texas at Austin, Austin, TX, USA
- Mulva Clinic for the Neurosciences, University of Texas at Austin, Austin, TX, USA
| | - Edison Thomaz
- Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, USA
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Sasaninezhad M, Moradi A, Farahimanesh S, Choobin MH, Almasi-Dooghaee M. Enhancing cognitive flexibility and working memory in individuals with mild cognitive impairment: Exploring the impact of virtual reality on daily life activities. Geriatr Nurs 2024; 56:32-39. [PMID: 38211369 DOI: 10.1016/j.gerinurse.2023.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 12/13/2023] [Accepted: 12/14/2023] [Indexed: 01/13/2024]
Abstract
Mild Cognitive Impairment (MCI) serving as a transitional stage between normal aging and dementia. This study aimed to explore the impact of virtual reality (VR) on enhancing cognitive flexibility, working memory, and daily life activities. Forty participants diagnosed with MCI were randomly assigned to either an intervention group (N = 20) or a control group (N = 20). Evaluations were at baseline, post-training, and three months post-training using various cognitive assessment tools. Results showed that the VR-based cognitive rehabilitation significantly improved instrumental activities of daily living performance, visual and verbal working memory, and reduced anxiety and depression symptoms. While cognitive flexibility did not exhibit significant improvement, these findings highlight VR interventions as a potential avenue for improving cognitive and functional aspects, and alleviating psychological symptoms in individuals with MCI. Further research with larger sample sizes and extended follow-up periods is recommended to establish the long-term effectiveness of such interventions.
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Affiliation(s)
| | - Alireza Moradi
- Kharazmi University, Institute for Cognitive Science Studies, Tehran, Iran.
| | - Sharareh Farahimanesh
- Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran
| | - Mohammad Hasan Choobin
- Kharazmi University, Institute for Cognitive Science Studies, Tehran, Iran; Institute for Cognitive Science Studies, Tehran, Iran
| | - Mostafa Almasi-Dooghaee
- Department of Neurology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
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6
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Young SR, Dworak EM, Byrne GJ, Jones CM, Yao L, Yoshino Benavente JN, Diaz MV, Curtis L, Gershon R, Wolf M, Nowinski CJ. Remote Self-Administration of Cognitive Screeners for Older Adults Prior to a Primary Care Visit: Pilot Cross-Sectional Study of the Reliability and Usability of the MyCog Mobile Screening App. JMIR Form Res 2024; 8:e54299. [PMID: 38324368 PMCID: PMC10882476 DOI: 10.2196/54299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 01/05/2024] [Accepted: 01/09/2024] [Indexed: 02/08/2024] Open
Abstract
BACKGROUND Routine cognitive screening is essential in the early detection of dementia, but time constraints in primary care settings often limit clinicians' ability to conduct screenings. MyCog Mobile is a newly developed cognitive screening system that patients can self-administer on their smartphones before a primary care visit, which can help save clinics' time, encourage broader screening practices, and increase early detection of cognitive decline. OBJECTIVE The goal of this pilot study was to examine the feasibility, acceptability, and initial psychometric properties of MyCog Mobile. Research questions included (1) Can older adults complete MyCog Mobile remotely without staff support? (2) Are the internal consistency and test-retest reliability of the measures acceptable? and (3) How do participants rate the user experience of MyCog Mobile? METHODS A sample of adults aged 65 years and older (N=51) self-administered the MyCog Mobile measures remotely on their smartphones twice within a 2- to 3-week interval. The pilot version of MyCog Mobile includes 4 activities: MyFaces measures facial memory, MySorting measures executive functioning, MySequences measures working memory, and MyPictures measures episodic memory. After their first administration, participants also completed a modified version of the Simplified System Usability Scale (S-SUS) and 2 custom survey items. RESULTS All participants in the sample passed the practice items and completed each measure. Findings indicate that the Mobile Toolbox assessments measure the constructs well (internal consistency 0.73 to 0.91) and are stable over an approximately 2-week delay (test-retest reliability 0.61 to 0.71). Participants' rating of the user experience (mean S-SUS score 73.17, SD 19.27) indicated that older adults found the usability of MyCog Mobile to be above average. On free-response feedback items, most participants provided positive feedback or no feedback at all, but some indicated a need for clarity in certain task instructions, concerns about participants' abilities, desire to be able to contact a support person or use in-app technical support, and desire for additional practice items. CONCLUSIONS Pilot evidence suggests that the MyCog Mobile cognitive screener can be reliably self-administered by older adults on their smartphones. Participants in our study generally provided positive feedback about the MyCog Mobile experience and rated the usability of the app highly. Based on participant feedback, we will conduct further usability research to improve support functionality, optimize task instructions and practice opportunities, and ensure that patients feel comfortable using MyCog Mobile. The next steps include a clinical validation study that compares MyCog Mobile to gold-standard assessments and tests the sensitivity and specificity of the measures for identifying dementia.
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Affiliation(s)
- Stephanie Ruth Young
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Elizabeth McManus Dworak
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Greg Joseph Byrne
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Callie Madison Jones
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Lihua Yao
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Julia Noelani Yoshino Benavente
- Center for Applied Health Research on Aging, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Maria Varela Diaz
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Laura Curtis
- Center for Applied Health Research on Aging, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Richard Gershon
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Michael Wolf
- Center for Applied Health Research on Aging, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Cindy J Nowinski
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
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7
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Czoch A, Kaposzta Z, Mukli P, Stylianou O, Eke A, Racz FS. Resting-state fractal brain connectivity is associated with impaired cognitive performance in healthy aging. GeroScience 2024; 46:473-489. [PMID: 37458934 PMCID: PMC10828136 DOI: 10.1007/s11357-023-00836-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 05/20/2023] [Indexed: 01/31/2024] Open
Abstract
Aging affects cognitive functions even in the absence of ongoing pathologies. The neurophysiological basis of age-related cognitive decline (CD), however, is not completely understood. Alterations in both functional brain connectivity and in the fractal scaling of neuronal dynamics have been linked to aging and cognitive performance. Recently, fractal connectivity (FrC) has been proposed - combining the two concepts - for capturing long-term interactions among brain regions. FrC was shown to be influenced by increased mental workload; however, no prior studies investigated how resting-state FrC relates to cognitive performance and plausible CD in healthy aging. We recruited 19 healthy elderly (HE) and 24 young control (YC) participants, who underwent resting-state electroencephalography (EEG) measurements and comprehensive cognitive evaluation using 7 tests of the Cambridge Neurophysiological Test Automated Battery. FrC networks were reconstructed from EEG data using the recently introduced multiple-resampling cross-spectral analysis (MRCSA). Elderly individuals could be characterized with increased response latency and reduced performance in 4-4 tasks, respectively, with both reaction time and accuracy being affected in two tasks. Auto- and cross-spectral exponents - characterizing regional fractal dynamics and FrC, respectively, - were found reduced in HE when compared to YC over most of the cortex. Additionally, fractal scaling of frontoparietal connections expressed an inverse relationship with task performance in visual memory and sustained attention domains in elderly, but not in young individuals. Our results confirm that the fractal nature of brain connectivity - as captured by MRCSA - is affected in healthy aging. Furthermore, FrC appears as a sensitive neurophysiological marker of age-related CD.
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Affiliation(s)
- Akos Czoch
- Department of Physiology, Semmelweis University, Budapest, Hungary
| | - Zalan Kaposzta
- Department of Physiology, Semmelweis University, Budapest, Hungary
| | - Peter Mukli
- Department of Physiology, Semmelweis University, Budapest, Hungary
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Vascular Cognitive Impairment and Neurodegeneration Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
| | - Orestis Stylianou
- Department of Physiology, Semmelweis University, Budapest, Hungary
- Institute of Translational Medicine, Semmelweis University, Budapest, Hungary
- Berlin Institute of Health at Charité, University Hospital Berlin, Berlin, Germany
- Department of Neurology With Experimental Neurology, Charité-University Hospital Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität Zu Berlin, Berlin, Germany
| | - Andras Eke
- Department of Physiology, Semmelweis University, Budapest, Hungary
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
| | - Frigyes Samuel Racz
- Department of Physiology, Semmelweis University, Budapest, Hungary.
- Department of Neurology, Dell Medical School, The University of Texas at Austin, Austin, TX, USA.
- Mulva Clinic for the Neurosciences, Dell Medical School, The University of Texas at Austin, Austin, TX, USA.
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Popp Z, Low S, Igwe A, Rahman MS, Kim M, Khan R, Oh E, Kumar A, De Anda‐Duran I, Ding H, Hwang PH, Sunderaraman P, Shih LC, Lin H, Kolachalama VB, Au R. Shifting From Active to Passive Monitoring of Alzheimer Disease: The State of the Research. J Am Heart Assoc 2024; 13:e031247. [PMID: 38226518 PMCID: PMC10926806 DOI: 10.1161/jaha.123.031247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2024]
Abstract
Most research using digital technologies builds on existing methods for staff-administered evaluation, requiring a large investment of time, effort, and resources. Widespread use of personal mobile devices provides opportunities for continuous health monitoring without active participant engagement. Home-based sensors show promise in evaluating behavioral features in near real time. Digital technologies across these methodologies can detect precise measures of cognition, mood, sleep, gait, speech, motor activity, behavior patterns, and additional features relevant to health. As a neurodegenerative condition with insidious onset, Alzheimer disease and other dementias (AD/D) represent a key target for advances in monitoring disease symptoms. Studies to date evaluating the predictive power of digital measures use inconsistent approaches to characterize these measures. Comparison between different digital collection methods supports the use of passive collection methods in settings in which active participant engagement approaches are not feasible. Additional studies that analyze how digital measures across multiple data streams can together improve prediction of cognitive impairment and early-stage AD are needed. Given the long timeline of progression from normal to diagnosis, digital monitoring will more easily make extended longitudinal follow-up possible. Through the American Heart Association-funded Strategically Focused Research Network, the Boston University investigative team deployed a platform involving a wide range of technologies to address these gaps in research practice. Much more research is needed to thoroughly evaluate limitations of passive monitoring. Multidisciplinary collaborations are needed to establish legal and ethical frameworks for ensuring passive monitoring can be conducted at scale while protecting privacy and security, especially in vulnerable populations.
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Affiliation(s)
- Zachary Popp
- Department of Anatomy & NeurobiologyBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Boston University Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of MedicineBostonMAUSA
| | - Spencer Low
- Department of Anatomy & NeurobiologyBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Boston University Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Department of EpidemiologyBoston University School of Public HealthBostonMAUSA
| | - Akwaugo Igwe
- Department of Anatomy & NeurobiologyBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Boston University Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of MedicineBostonMAUSA
| | - Md Salman Rahman
- Department of Anatomy & NeurobiologyBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Boston University Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of MedicineBostonMAUSA
| | - Minzae Kim
- Department of Anatomy & NeurobiologyBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Boston UniversityBostonMAUSA
| | - Raiyan Khan
- Department of Anatomy & NeurobiologyBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Boston UniversityBostonMAUSA
| | - Emily Oh
- Department of Anatomy & NeurobiologyBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Boston UniversityBostonMAUSA
| | - Ankita Kumar
- Department of Anatomy & NeurobiologyBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Boston UniversityBostonMAUSA
| | - Ileana De Anda‐Duran
- Department of EpidemiologyTulane University School of Public Health & Tropical MedicineNew OrleansLAUSA
| | - Huitong Ding
- Department of Anatomy & NeurobiologyBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Framingham Heart StudyBoston University Chobanian & Avedisian School of Medicine School of MedicineBostonMAUSA
| | - Phillip H. Hwang
- Department of EpidemiologyBoston University School of Public HealthBostonMAUSA
| | - Preeti Sunderaraman
- Boston University Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Framingham Heart StudyBoston University Chobanian & Avedisian School of Medicine School of MedicineBostonMAUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of Medicine School of MedicineBostonMAUSA
| | - Ludy C. Shih
- Boston University Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Framingham Heart StudyBoston University Chobanian & Avedisian School of Medicine School of MedicineBostonMAUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of Medicine School of MedicineBostonMAUSA
| | - Honghuang Lin
- Department of MedicineUniversity of Massachusetts Chan Medical SchoolWorcesterMA
| | - Vijaya B. Kolachalama
- Boston University Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Department of MedicineBoston University Chobanian & Avedisian School of Medicine School of MedicineBostonMAUSA
| | - Rhoda Au
- Department of Anatomy & NeurobiologyBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Boston University Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Department of EpidemiologyBoston University School of Public HealthBostonMAUSA
- Framingham Heart StudyBoston University Chobanian & Avedisian School of Medicine School of MedicineBostonMAUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of Medicine School of MedicineBostonMAUSA
- Department of MedicineBoston University Chobanian & Avedisian School of Medicine School of MedicineBostonMAUSA
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Woods D, Pebler P, Johnson DK, Herron T, Hall K, Blank M, Geraci K, Williams G, Chok J, Lwi S, Curran B, Schendel K, Spinelli M, Baldo J. The California Cognitive Assessment Battery (CCAB). Front Hum Neurosci 2024; 17:1305529. [PMID: 38273881 PMCID: PMC10809797 DOI: 10.3389/fnhum.2023.1305529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Accepted: 11/28/2023] [Indexed: 01/27/2024] Open
Abstract
Introduction We are developing the California Cognitive Assessment Battery (CCAB) to provide neuropsychological assessments to patients who lack test access due to cost, capacity, mobility, and transportation barriers. Methods The CCAB consists of 15 non-verbal and 17 verbal subtests normed for telemedical assessment. The CCAB runs on calibrated tablet computers over cellular or Wi-Fi connections either in a laboratory or in participants' homes. Spoken instructions and verbal stimuli are delivered through headphones using naturalistic text-to-speech voices. Verbal responses are scored in real time and recorded and transcribed offline using consensus automatic speech recognition which combines the transcripts from seven commercial ASR engines to produce timestamped transcripts more accurate than those of any single ASR engine. The CCAB is designed for supervised self-administration using a web-browser application, the Examiner. The Examiner permits examiners to record observations, view subtest performance in real time, initiate video chats, and correct potential error conditions (e.g., training and performance failures, etc.,) for multiple participants concurrently. Results Here we describe (1) CCAB usability with older (ages 50 to 89) participants; (2) CCAB psychometric properties based on normative data from 415 older participants; (3) Comparisons of the results of at-home vs. in-lab CCAB testing; (4) We also present preliminary analyses of the effects of COVID-19 infection on performance. Mean z-scores averaged over CCAB subtests showed impaired performance of COVID+ compared to COVID- participants after factoring out the contributions of Age, Education, and Gender (AEG). However, inter-cohort differences were no longer significant when performance was analyzed with a comprehensive model that factored out the influences of additional pre-existing demographic factors that distinguished COVID+ and COVID- cohorts (e.g., vocabulary, depression, race, etc.,). In contrast, unlike AEG scores, comprehensive scores correlated significantly with the severity of COVID infection. (5) Finally, we found that scoring models influenced the classification of individual participants with Mild Cognitive Impairment (MCI, z-scores < -1.50) where the comprehensive model accounted for more than twice as much variance as the AEG model and reduced racial bias in MCI classification. Discussion The CCAB holds the promise of providing scalable laboratory-quality neurodiagnostic assessments to underserved urban, exurban, and rural populations.
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Affiliation(s)
- David Woods
- NeuroBehavioral Systems Inc., Berkeley, CA, United States
| | - Peter Pebler
- NeuroBehavioral Systems Inc., Berkeley, CA, United States
| | - David K Johnson
- Department of Neurology, University of California, Davis, Davis, CA, United States
| | - Timothy Herron
- NeuroBehavioral Systems Inc., Berkeley, CA, United States
- VA Northern California Health Care System, Martinez, CA, United States
| | - Kat Hall
- NeuroBehavioral Systems Inc., Berkeley, CA, United States
| | - Mike Blank
- NeuroBehavioral Systems Inc., Berkeley, CA, United States
| | - Kristi Geraci
- NeuroBehavioral Systems Inc., Berkeley, CA, United States
| | | | - Jas Chok
- VA Northern California Health Care System, Martinez, CA, United States
| | - Sandy Lwi
- VA Northern California Health Care System, Martinez, CA, United States
| | - Brian Curran
- VA Northern California Health Care System, Martinez, CA, United States
| | - Krista Schendel
- VA Northern California Health Care System, Martinez, CA, United States
| | - Maria Spinelli
- VA Northern California Health Care System, Martinez, CA, United States
| | - Juliana Baldo
- VA Northern California Health Care System, Martinez, CA, United States
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10
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Amirpour A, Eckerblad J, Bergman L, Nilsson U. Comparing analog and digital neurocognitive tests with older adults: a study of the ISPOCD battery vs. a digital test battery from Mindmore. BMC Geriatr 2024; 24:34. [PMID: 38191318 PMCID: PMC10775484 DOI: 10.1186/s12877-023-04648-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 12/29/2023] [Indexed: 01/10/2024] Open
Abstract
BACKGROUND Delayed neurocognitive recovery and neurocognitive disorder are common postoperative complications among older adults. The assessment of these complications traditionally relies on analog neurocognitive tests, predominantly using the test battery from the ISPOCD-study as the standard approach. However, analog tests are time-consuming and necessitate trained staff which poses limitations. The potential availability of a digital neurocognitive test as an alternative to the ISPOCD remains unknown. We conducted a comparative study between the analog test battery from ISPOCD and the self-administrated digital test battery developed by Mindmore. METHODS We conducted a crossover study with 50 cognitively healthy older adults ≥ 60 years of age recruited in Stockholm Sweden, between February and April 2022. The primary outcome focused on measuring comparability between the two test batteries. Our secondary outcomes included assessing participants' perceptions and attitudes about the tests with qualitative interviews and their usability experiences. RESULTS Fifty older adults, mean age 76, female 56%, with a university or college degree 48% participated in the study. The sub tests in two test batteries demonstrated a medium-large correlation (r = 0.3-0.5), except for one measure. For four out of six measures, significant differences were found with medium to large effect sizes, ranging from 0.57-1.43. Two categories were recognized in the qualitative analysis: self-competing in a safe environment, and experience with technology. Participants expressed feeling safe and at ease during the assessment, with some preferring the digital test over the analog. Participants reported a high level of usability with the digital test and a majority participants (n = 47) reported they would undergo the digital test for a potential future surgery. CONCLUSIONS The digital test battery developed by Mindmore offers several advantages, including rapid access to test results, easy comprehension, and use for participants, thereby increased accessibility of cognitive screening. TRIAL REGISTRATION NUMBER NCT05253612; ClinicalTrials.gov, 24/02/2022.
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Affiliation(s)
- Anahita Amirpour
- Division of Nursing, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Alfred Nobels Allé 23, C4, 141 83, Stockholm, Sweden.
| | - Jeanette Eckerblad
- Division of Nursing, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Alfred Nobels Allé 23, C4, 141 83, Stockholm, Sweden
| | - Lina Bergman
- Division of Nursing, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Alfred Nobels Allé 23, C4, 141 83, Stockholm, Sweden
| | - Ulrica Nilsson
- Division of Nursing, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Alfred Nobels Allé 23, C4, 141 83, Stockholm, Sweden
- Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden
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11
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Chen L, Zhang M, Yu W, Yu J, Cui Q, Chen C, Liu J, Huang L, Liu J, Yu W, Li W, Zhang W, Yan M, Wu J, Wang X, Song J, Zhong F, Liu X, Wang X, Li C, Tan Y, Sun J, Li W, Lü Y. A Fully Automated Mini-Mental State Examination Assessment Model Using Computer Algorithms for Cognitive Screening. J Alzheimers Dis 2024; 97:1661-1672. [PMID: 38306031 DOI: 10.3233/jad-230518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
Background Rapidly growing healthcare demand associated with global population aging has spurred the development of new digital tools for the assessment of cognitive performance in older adults. Objective To develop a fully automated Mini-Mental State Examination (MMSE) assessment model and validate the model's rating consistency. Methods The Automated Assessment Model for MMSE (AAM-MMSE) was an about 10-min computerized cognitive screening tool containing the same questions as the traditional paper-based Chinese MMSE. The validity of the AAM-MMSE was assessed in term of the consistency between the AAM-MMSE rating and physician rating. Results A total of 427 participants were recruited for this study. The average age of these participants was 60.6 years old (ranging from 19 to 104 years old). According to the intraclass correlation coefficient (ICC), the interrater reliability between physicians and the AAM-MMSE for the full MMSE scale AAM-MMSE was high [ICC (2,1)=0.952; with its 95% CI of (0.883,0.974)]. According to the weighted kappa coefficients results the interrater agreement level for audio-related items showed high, but for items "Reading and obey", "Three-stage command", and "Writing complete sentence" were slight to fair. The AAM-MMSE rating accuracy was 87%. A Bland-Altman plot showed that the bias between the two total scores was 1.48 points with the upper and lower limits of agreement equal to 6.23 points and -3.26 points. Conclusions Our work offers a promising fully automated MMSE assessment system for cognitive screening with pretty good accuracy.
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Affiliation(s)
- Lihua Chen
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Meiwei Zhang
- College of Electrical Engineering, Chongqing University, Chongqing, China
| | - Weihua Yu
- Department of Human Anatomy, Institute of Neuroscience, Chongqing Medical University, Chongqing, China
| | - Juan Yu
- College of Electrical Engineering, Chongqing University, Chongqing, China
| | - Qiushi Cui
- College of Electrical Engineering, Chongqing University, Chongqing, China
| | - Chenxi Chen
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Junjin Liu
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lihong Huang
- Department of Human Anatomy, Institute of Neuroscience, Chongqing Medical University, Chongqing, China
| | - Jiarui Liu
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wuhan Yu
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wenjie Li
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wenbo Zhang
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Mengyu Yan
- Department of Human Anatomy, Institute of Neuroscience, Chongqing Medical University, Chongqing, China
| | - Jiani Wu
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaoqin Wang
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiaqi Song
- Department of Human Anatomy, Institute of Neuroscience, Chongqing Medical University, Chongqing, China
| | - Fuxing Zhong
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xintong Liu
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xianglin Wang
- College of Computer Science, Chongqing University, Chongqing, China
| | - Chengxing Li
- College of Computer Science, Chongqing University, Chongqing, China
| | - Yuantao Tan
- College of Computer Science, Chongqing University, Chongqing, China
| | - Jiangshan Sun
- College of Computer Science, Chongqing University, Chongqing, China
| | - Wenyuan Li
- College of Electrical Engineering, Chongqing University, Chongqing, China
| | - Yang Lü
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Rhodius-Meester HFM, Paajanen T, Lötjönen J. cCOG Web-Based Cognitive Assessment Tool. Methods Mol Biol 2024; 2785:311-320. [PMID: 38427202 DOI: 10.1007/978-1-0716-3774-6_19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
Cognitive testing is an essential part of clinical diagnostics and clinical trials in Alzheimer's disease. Digital cognitive tests hold a great opportunity to provide more versatile and cost-efficient patient pathways through flexible testing including at home. In this work, we describe a web-based cognitive test, cCOG, that can be used in screening, differential diagnosis, and monitoring the progression of neurodegenerative diseases.
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Affiliation(s)
- Hanneke F M Rhodius-Meester
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands.
- Department of Internal medicine, Geriatric Medicine section, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.
- Department of Geriatric Medicine, The Memory Clinic, Oslo University Hospital, Oslo, Norway.
| | - Teemu Paajanen
- Work ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
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Roca-Ventura A, Solana-Sánchez J, Heras E, Anglada M, Missé J, Ulloa E, García-Molina A, Opisso E, Bartrés-Faz D, Pascual-Leone A, Tormos-Muñoz JM, Cattaneo G. "Guttmann Cognitest ®," a digital solution for assessing cognitive performance in adult population: A feasibility and usability pilot study. Digit Health 2024; 10:20552076231224246. [PMID: 38188861 PMCID: PMC10768632 DOI: 10.1177/20552076231224246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 12/15/2023] [Indexed: 01/09/2024] Open
Abstract
Background As the world population continues to age, the prevalence of neurological diseases, such as dementia, poses a significant challenge to society. Detecting cognitive impairment at an early stage is vital in preserving and enhancing cognitive function. Digital tools, particularly mHealth, offer a practical solution for large-scale population screening and prompt follow-up assessments of cognitive function, thus overcoming economic and time limitations. Objective In this work, two versions of a digital solution called Guttmann Cognitest® were tested. Methods Two hundred and one middle-aged adults used the first version (Group A), while 132 used the second one, which included improved tutorials and practice screens (Group B). This second version was also validated in an older age group (Group C). Results This digital solution was found to be highly satisfactory in terms of usability and feasibility, with good acceptability among all three groups. Specifically for Group B, the system usability scale score obtained classifies the solution as the best imaginable in terms of usability. Conclusions Guttmann Cognitest® has been shown to be effective and well-perceived, with a high potential for sustained engagement in tracking changes in cognitive function.
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Affiliation(s)
- Alba Roca-Ventura
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain
- Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Barcelona, Spain
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
| | - Javier Solana-Sánchez
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain
- Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Barcelona, Spain
- Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Eva Heras
- Servei Envelliment i Salut Servei Andorrà d’Atenció Sanitària, Escaldes-Engordany, Andorra
| | - Maria Anglada
- Servei Envelliment i Salut Servei Andorrà d’Atenció Sanitària, Escaldes-Engordany, Andorra
| | - Jan Missé
- Servei Envelliment i Salut Servei Andorrà d’Atenció Sanitària, Escaldes-Engordany, Andorra
| | - Encarnació Ulloa
- Servei Envelliment i Salut Servei Andorrà d’Atenció Sanitària, Escaldes-Engordany, Andorra
| | - Alberto García-Molina
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain
- Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Barcelona, Spain
- Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Eloy Opisso
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain
- Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Barcelona, Spain
- Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - David Bartrés-Faz
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
| | - Alvaro Pascual-Leone
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Deanna and Sidney Wolk Center for Memory Health, Hebrew SeniorLife, Boston, MA, USA
- Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Josep M. Tormos-Muñoz
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain
- Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Barcelona, Spain
- Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Gabriele Cattaneo
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain
- Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Barcelona, Spain
- Universitat Autònoma de Barcelona, Bellaterra, Spain
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Satoh T, Sawada Y, Saba H, Kitamoto H, Kato Y, Shiozuka Y, Kuwada T, Shima S, Murakami K, Sasaki M, Abe Y, Harano K. Assessment of Mild Cognitive Impairment Using CogEvo: A Computerized Cognitive Function Assessment Tool. J Prim Care Community Health 2024; 15:21501319241239228. [PMID: 38504559 PMCID: PMC10953101 DOI: 10.1177/21501319241239228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 01/31/2024] [Accepted: 02/26/2024] [Indexed: 03/21/2024] Open
Abstract
INTRODUCTION/OBJECTIVES To assess the utility of the computerized cognitive function assessment tool, CogEvo, as a screening tool for mild cognitive impairment in primary care, we explored the relationship between CogEvo performance, age, and the severity of cognitive dysfunction evaluated by the Mini-Mental State Examination (MMSE). METHODS The observational cross-sectional study included 209 individuals' data (mean age 79.4 ± 8.9 years). We conducted a correlation analysis between CogEvo and MMSE scores, compared the performance among the 3 cognitive function groups (MMSE ≥ 28 group; MMSE24-27 group; MMSE ≤ 23 group) using the MMSE cut-off, and evaluated CogEvo's predictive accuracy for cognitive dysfunction through ROC analysis. RESULTS Both total CogEvo and MMSE scores significantly decreased with age. A significant positive correlation was observed between total CogEvo and MMSE scores, but a ceiling effect was detected in MMSE performance. Significant differences were observed in the total CogEvo score, including orientation and spatial cognitive function scores, among the 3 groups. CogEvo showed no educational bias. ROC analyses indicated moderate discrimination between the MMSE ≥ 28 group and the MMSE24-27 and MMSE ≤ 23 groups. CONCLUSIONS The computer-administered CogEvo has the advantage of not exhibiting ceiling effects or educational bias like the MMSE, and was found to be able to detect age-related cognitive decline and impairment.
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Affiliation(s)
- Toru Satoh
- Ryofukai Satoh Neurosurgical Hospital, Fukuyama, Hiroshima, Japan
| | - Yoichi Sawada
- Okayama Prefectural University, Soja, Okayama, Japan
| | - Hideaki Saba
- Ryofukai Satoh Neurosurgical Hospital, Fukuyama, Hiroshima, Japan
| | - Hiroshi Kitamoto
- Ryofukai Satoh Neurosurgical Hospital, Fukuyama, Hiroshima, Japan
| | - Yoshiki Kato
- Ryofukai Satoh Neurosurgical Hospital, Fukuyama, Hiroshima, Japan
| | - Yoshiko Shiozuka
- Ryofukai Satoh Neurosurgical Hospital, Fukuyama, Hiroshima, Japan
| | - Tomoko Kuwada
- Ryofukai Satoh Neurosurgical Hospital, Fukuyama, Hiroshima, Japan
| | - Sayoko Shima
- Ryofukai Satoh Neurosurgical Hospital, Fukuyama, Hiroshima, Japan
| | - Kana Murakami
- Ryofukai Satoh Neurosurgical Hospital, Fukuyama, Hiroshima, Japan
| | - Megumi Sasaki
- Ryofukai Satoh Neurosurgical Hospital, Fukuyama, Hiroshima, Japan
| | - Yudai Abe
- Ryofukai Satoh Neurosurgical Hospital, Fukuyama, Hiroshima, Japan
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Santos E, Clark C, Biag HMB, Tang SJ, Kim K, Ponzini MD, Schneider A, Giulivi C, Montanaro FAM, Gipe JTE, Dayton J, Randol JL, Yao PJ, Manolopoulos A, Kapogiannis D, Hwang YH, Hagerman P, Hagerman R, Tassone F. Open-Label Sulforaphane Trial in FMR1 Premutation Carriers with Fragile-X-Associated Tremor and Ataxia Syndrome (FXTAS). Cells 2023; 12:2773. [PMID: 38132093 PMCID: PMC10741398 DOI: 10.3390/cells12242773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 11/03/2023] [Accepted: 11/28/2023] [Indexed: 12/23/2023] Open
Abstract
Fragile X (FMR1) premutation is a common mutation that affects about 1 in 200 females and 1 in 450 males and can lead to the development of fragile-X-associated tremor/ataxia syndrome (FXTAS). Although there is no targeted, proven treatment for FXTAS, research suggests that sulforaphane, an antioxidant present in cruciferous vegetables, can enhance mitochondrial function and maintain redox balance in the dermal fibroblasts of individuals with FXTAS, potentially leading to improved cognitive function. In a 24-week open-label trial involving 15 adults aged 60-88 with FXTAS, 11 participants successfully completed the study, demonstrating the safety and tolerability of sulforaphane. Clinical outcomes and biomarkers were measured to elucidate the effects of sulforaphane. While there were nominal improvements in multiple clinical measures, they were not significantly different after correction for multiple comparisons. PBMC energetic measures showed that the level of citrate synthase was higher after sulforaphane treatment, resulting in lower ATP production. The ratio of complex I to complex II showed positive correlations with the MoCA and BDS scores. Several mitochondrial biomarkers showed increased activity and quantity and were correlated with clinical improvements.
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Affiliation(s)
- Ellery Santos
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute, University of California Davis Health, Sacramento, CA 95817, USA (A.S.); (R.H.)
- Department of Pediatrics, School of Medicine, University of California, Davis, CA 95817, USA
| | - Courtney Clark
- Department of Pediatrics, School of Medicine, University of California, Davis, CA 95817, USA
| | - Hazel Maridith B. Biag
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute, University of California Davis Health, Sacramento, CA 95817, USA (A.S.); (R.H.)
- Department of Pediatrics, School of Medicine, University of California, Davis, CA 95817, USA
| | - Si Jie Tang
- Department of Pediatrics, School of Medicine, University of California, Davis, CA 95817, USA
| | - Kyoungmi Kim
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute, University of California Davis Health, Sacramento, CA 95817, USA (A.S.); (R.H.)
- Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, CA 95616, USA
| | - Matthew D. Ponzini
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute, University of California Davis Health, Sacramento, CA 95817, USA (A.S.); (R.H.)
- Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, CA 95616, USA
| | - Andrea Schneider
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute, University of California Davis Health, Sacramento, CA 95817, USA (A.S.); (R.H.)
- Department of Pediatrics, School of Medicine, University of California, Davis, CA 95817, USA
| | - Cecilia Giulivi
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute, University of California Davis Health, Sacramento, CA 95817, USA (A.S.); (R.H.)
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, CA 95616, USA
| | - Federica Alice Maria Montanaro
- Child and Adolescent Neuropsychiatry Unit, Department of Neuroscience, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy;
- Department of Education, Psychology, Communication, University of Bari Aldo Moro, 70121 Bari, Italy
| | - Jesse Tran-Emilia Gipe
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, CA 95616, USA
| | - Jacquelyn Dayton
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, CA 95616, USA
| | - Jamie L. Randol
- Department of Biochemistry and Molecular Medicine, School of Medicine, University of California, Davis, CA 95616, USA
| | - Pamela J. Yao
- Laboratory of Clinical Investigation, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD 212241, USA (A.M.); (D.K.)
| | - Apostolos Manolopoulos
- Laboratory of Clinical Investigation, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD 212241, USA (A.M.); (D.K.)
| | - Dimitrios Kapogiannis
- Laboratory of Clinical Investigation, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD 212241, USA (A.M.); (D.K.)
| | - Ye Hyun Hwang
- Department of Biochemistry and Molecular Medicine, School of Medicine, University of California, Davis, CA 95616, USA
| | - Paul Hagerman
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute, University of California Davis Health, Sacramento, CA 95817, USA (A.S.); (R.H.)
- Department of Biochemistry and Molecular Medicine, School of Medicine, University of California, Davis, CA 95616, USA
| | - Randi Hagerman
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute, University of California Davis Health, Sacramento, CA 95817, USA (A.S.); (R.H.)
- Department of Pediatrics, School of Medicine, University of California, Davis, CA 95817, USA
| | - Flora Tassone
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute, University of California Davis Health, Sacramento, CA 95817, USA (A.S.); (R.H.)
- Department of Biochemistry and Molecular Medicine, School of Medicine, University of California, Davis, CA 95616, USA
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Béraud-Peigné N, Perrot A, Maillot P. Wireless Lighting System: A New Tool for Assessing Cognitive Functions in the Elderly. Behav Sci (Basel) 2023; 13:943. [PMID: 37998689 PMCID: PMC10669039 DOI: 10.3390/bs13110943] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 11/10/2023] [Accepted: 11/14/2023] [Indexed: 11/25/2023] Open
Abstract
Studies on the effects of aging on cognition have been using the same cognitive tests for decades. A Wireless Lighting System (WLS) could be used to assess cognitive functions in a physically active situation, making the assessment of cognition less isolated and more ecological. This pilot study aimed to evaluate the potential of a WLS for assessing older adults' cognitive functions. It was set up with 15 young (M = 23.47 years old) and 18 older adults (M = 71.44 years old). Their performances were recorded on three WLS tests, designed with the Witty SEM system to assess four main cognitive functions (i.e., inhibition, flexibility, visuospatial short-term and working memory), as well as on three traditional (TRAD) tests (Spatial Span Test, Stroop Test, Trail Making Test). The results show a significant difference between the YOUNG and OLD groups on all WLS test measures (except for WLS flexibility), as well as on all TRAD measures. Additionally, for the OLD group, there were significant correlations between WLS and TRAD test results (r = -0.49 for two measures of inhibition to r = -0.80 for two other measures of inhibition), except for visuospatial short-term memory. However, there was no significant correlation for the YOUNG group (ρ = -0.27 for inhibition to r = 0.45 for visuospatial short-term memory). These WLS tests were valid for assessing the cognitive functions (i.e., flexibility, visuospatial short-term and working memory, inhibition) of older adults and were sensitive to aging.
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Affiliation(s)
- Néva Béraud-Peigné
- Complexité, Innovation, Activités Motrices et Sportives, University of Paris Saclay, 91440 Bures-sur-Yvette, France;
- Complexité, Innovation, Activités Motrices et Sportives, University of Orleans, 45062 Orleans, France
- Institut des Sciences du Sport-Santé de Paris, University Paris-Cité, 75015 Paris, France;
| | - Alexandra Perrot
- Complexité, Innovation, Activités Motrices et Sportives, University of Paris Saclay, 91440 Bures-sur-Yvette, France;
- Complexité, Innovation, Activités Motrices et Sportives, University of Orleans, 45062 Orleans, France
| | - Pauline Maillot
- Institut des Sciences du Sport-Santé de Paris, University Paris-Cité, 75015 Paris, France;
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Capodieci A, Ruffini C, Frascari A, Rivella C, Bombonato C, Giaccherini S, Scali V, Luccherino L, Viterbori P, Traverso L, Usai MC, Marzocchi GM, Pecini C. Executive functions in children with specific learning disorders: Shedding light on a complex profile through teleassessment. RESEARCH IN DEVELOPMENTAL DISABILITIES 2023; 142:104621. [PMID: 37898060 DOI: 10.1016/j.ridd.2023.104621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 09/16/2023] [Accepted: 10/18/2023] [Indexed: 10/30/2023]
Abstract
Executive Functions (EFs) are high-order cognitive processes relevant to learning and adaptation and frequently impaired in children with specific learning disorders (SLDs). This study aimed to investigate EFs in children with SLD and explore the role of specific EF-related subprocesses, such as stimuli processing and processing speed. Fifty-seven SLD and 114 typically developing (TD) children, matched for gender and age, completed four tasks measuring response inhibition, interference control, shifting, and updating on a web-based teleassessment platform. The results show that SLD children performed lower in all EF tasks than TD children, regardless of stimulus type and condition. Mediation analyses suggested that differences between the SLD and TD groups are mediated by EF-related subprocesses, offering an interpretative model of EF deficits in children with SLD.
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Affiliation(s)
- Agnese Capodieci
- FORLILPSI, Università degli Studi di Firenze, Via Laura, 48, 50121 Firenze, Italy
| | - Costanza Ruffini
- FORLILPSI, Università degli Studi di Firenze, Via Laura, 48, 50121 Firenze, Italy
| | - Andrea Frascari
- Anastasis Società Cooperativa Sociale, Via Giovanni Amendola, 12, 40121 Bologna, Italy
| | - Carlotta Rivella
- DiSFor, Università degli Studi di Genova, Corso Andrea Podesta', 2, 16121 Genova, Italy
| | - Clara Bombonato
- NEUROFARBA, Università degli Studi di Firenze, Viale Gaetano Pieraccini, 6, 50139 Firenze, Italy
| | | | - Valentina Scali
- Azienda USL Toscana Sudest, Via Curtatone, 54, Arezzo, Italy
| | | | - Paola Viterbori
- DiSFor, Università degli Studi di Genova, Corso Andrea Podesta', 2, 16121 Genova, Italy
| | - Laura Traverso
- DiSFor, Università degli Studi di Genova, Corso Andrea Podesta', 2, 16121 Genova, Italy
| | - Maria Carmen Usai
- DiSFor, Università degli Studi di Genova, Corso Andrea Podesta', 2, 16121 Genova, Italy.
| | - Gian Marco Marzocchi
- Dipartimento di Psicologia, Università degli Studi di Milano-Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano, Italy
| | - Chiara Pecini
- FORLILPSI, Università degli Studi di Firenze, Via Laura, 48, 50121 Firenze, Italy
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18
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Quinlan C, Rattray B, Pryor D, Northey JM, Cherbuin N. Physical activity and cognitive function in middle-aged adults: a cross-sectional analysis of the PATH through life study. Front Psychol 2023; 14:1022868. [PMID: 37691791 PMCID: PMC10484531 DOI: 10.3389/fpsyg.2023.1022868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 07/26/2023] [Indexed: 09/12/2023] Open
Abstract
Objectives Investigate the independent associations of objectively measured or self-reported physical activity at different intensities with cognitive performance in middle-aged adults. Design Cross-sectional. Methods 156 middle-aged adults (age: 40.6 ± 1.5, 58.3% female) participated in the physical activity sub-study of the Personality and Total Health through life (PATH) project. Physical activity was measured objectively with the SenseWear™ armband (SWA), worn for seven consecutive days, and measured via self-report with a Physical Activity Recall survey (PAR). Cognitive performance was assessed with the Symbol Digit Modalities Test, the Digit Span Backwards, and an Immediate and Delayed Recall task. Associations between physical activity intensity and cognitive function were investigated in general linear models, controlling for age, sex, and education. Results Neither objectively measured nor self-reported physical activity were associated with cognitive function at light-, moderate-, vigorous-, or combined moderate-to-vigorous intensity in this cohort of well educated, healthy middle-aged adults. Sensitivity analyses with additional moderators (e.g., body mass index, hypertension, alcohol intake) and the use of composite cognitive measures did not alter the results. Conclusion In this cohort of middle-aged adults, objectively measured and self-reported physical activity do not appear to be associated with cognitive function. Longitudinal follow-ups utilising objective physical activity measures may be important in determining the impact of mid-life behaviours on the trajectory of cognitive changes into older age.
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Affiliation(s)
- Clare Quinlan
- UC Research Institute for Sport and Exercise, University of Canberra, Canberra, ACT, Australia
- Discipline of Sport and Exercise Science, Faculty of Health, University of Canberra, Canberra, ACT, Australia
- Faculty of Health, Charles Darwin University, Darwin, NT, Australia
| | - Ben Rattray
- UC Research Institute for Sport and Exercise, University of Canberra, Canberra, ACT, Australia
- Discipline of Sport and Exercise Science, Faculty of Health, University of Canberra, Canberra, ACT, Australia
- Centre for Research on Ageing, Health and Wellbeing, Australian National University, Canberra, ACT, Australia
| | - Disa Pryor
- Discipline of Sport and Exercise Science, Faculty of Health, University of Canberra, Canberra, ACT, Australia
| | - Joseph M. Northey
- UC Research Institute for Sport and Exercise, University of Canberra, Canberra, ACT, Australia
- Discipline of Sport and Exercise Science, Faculty of Health, University of Canberra, Canberra, ACT, Australia
- Centre for Research on Ageing, Health and Wellbeing, Australian National University, Canberra, ACT, Australia
| | - Nicolas Cherbuin
- Centre for Research on Ageing, Health and Wellbeing, Australian National University, Canberra, ACT, Australia
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Chen L, Zhen W, Peng D. Research on digital tool in cognitive assessment: a bibliometric analysis. Front Psychiatry 2023; 14:1227261. [PMID: 37680449 PMCID: PMC10482043 DOI: 10.3389/fpsyt.2023.1227261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 07/31/2023] [Indexed: 09/09/2023] Open
Abstract
Objective The number of research into new cognitive assessment tools has increased rapidly in recent years, sparking great interest among professionals. However, there is still little literature revealing the current status and future trends of digital technology use in cognitive assessment. The aim of this study was to summarize the development of digital cognitive assessment tools through the bibliometric method. Methods We carried out a comprehensive search in the Web of Science Core Collection to identify relevant papers published in English between January 1, 2003, and April 3, 2023. We used the subjects such as "digital," "computer," and "cognitive," and finally 13,244 related publications were collected. Then we conducted the bibliometric analysis by Bibliometrix" R-package, VOSviewer and CiteSpace software, revealing the prominent countries, authors, institutions, and journals. Results 11,045 articles and 2,199 reviews were included in our analyzes. The number of annual publications in this field was rising rapidly. The results showed that the most productive countries, authors and institutions were primarily located in economically developed regions, especially the North American, European, and Australian countries. Research cooperation tended to occur in these areas as well. The application of digital technology in cognitive assessment appealed to growing attention during the outbreak of the COVID-19 epidemic. Conclusion Digital technology uses have had a great impact on cognitive assessment and health care. There have been substantial papers published in these areas in recent years. The findings of the study indicate the great potential of digital technology in cognitive assessment.
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Affiliation(s)
- Leian Chen
- China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Weizhe Zhen
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Dantao Peng
- China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
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20
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Alfalahi H, Dias SB, Khandoker AH, Chaudhuri KR, Hadjileontiadis LJ. A scoping review of neurodegenerative manifestations in explainable digital phenotyping. NPJ Parkinsons Dis 2023; 9:49. [PMID: 36997573 PMCID: PMC10063633 DOI: 10.1038/s41531-023-00494-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 03/16/2023] [Indexed: 04/03/2023] Open
Abstract
Neurologists nowadays no longer view neurodegenerative diseases, like Parkinson's and Alzheimer's disease, as single entities, but rather as a spectrum of multifaceted symptoms with heterogeneous progression courses and treatment responses. The definition of the naturalistic behavioral repertoire of early neurodegenerative manifestations is still elusive, impeding early diagnosis and intervention. Central to this view is the role of artificial intelligence (AI) in reinforcing the depth of phenotypic information, thereby supporting the paradigm shift to precision medicine and personalized healthcare. This suggestion advocates the definition of disease subtypes in a new biomarker-supported nosology framework, yet without empirical consensus on standardization, reliability and interpretability. Although the well-defined neurodegenerative processes, linked to a triad of motor and non-motor preclinical symptoms, are detected by clinical intuition, we undertake an unbiased data-driven approach to identify different patterns of neuropathology distribution based on the naturalistic behavior data inherent to populations in-the-wild. We appraise the role of remote technologies in the definition of digital phenotyping specific to brain-, body- and social-level neurodegenerative subtle symptoms, emphasizing inter- and intra-patient variability powered by deep learning. As such, the present review endeavors to exploit digital technologies and AI to create disease-specific phenotypic explanations, facilitating the understanding of neurodegenerative diseases as "bio-psycho-social" conditions. Not only does this translational effort within explainable digital phenotyping foster the understanding of disease-induced traits, but it also enhances diagnostic and, eventually, treatment personalization.
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Affiliation(s)
- Hessa Alfalahi
- Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
- Healthcare Engineering Innovation Center (HEIC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
| | - Sofia B Dias
- Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Healthcare Engineering Innovation Center (HEIC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- CIPER, Faculdade de Motricidade Humana, University of Lisbon, Lisbon, Portugal
| | - Ahsan H Khandoker
- Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Healthcare Engineering Innovation Center (HEIC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Kallol Ray Chaudhuri
- Parkinson Foundation, International Center of Excellence, King's College London, Denmark Hills, London, UK
- Department of Basic and Clinical Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, UK
| | - Leontios J Hadjileontiadis
- Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Healthcare Engineering Innovation Center (HEIC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
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21
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Sawada Y, Satoh T, Saba H, Kitamoto H, Kato Y, Shiozuka Y, Kuwada T, Murakami K, Sasaki M, Abe Y, Harano K. Validity and reliability of a computerized cognitive function evaluation battery (CogEvo) as a screening tool. PCN REPORTS : PSYCHIATRY AND CLINICAL NEUROSCIENCES 2023; 2:e67. [PMID: 38868415 PMCID: PMC11114302 DOI: 10.1002/pcn5.67] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 11/30/2022] [Accepted: 12/02/2022] [Indexed: 06/14/2024]
Abstract
Aim The aim of this study was to determine the validity and reliability of cognitive function evaluation battery, CogEvo, a recently developed computerized cognitive function evaluation battery, as a screening tool for decreased cognitive function. Methods The study sample comprised 123 (age: 57-97 years) community-dwelling elderly people. They were required to perform five CogEvo tasks and complete two questions-based neuropsychological tests, including the Mini-Mental State Examination, so that the correlations could be analyzed. The validity and reliability of CogEvo were examined using factor analysis, MacDonald's omega reliability coefficient, logistic regression analysis, and receiver operating characteristic curve analysis. Results Exploratory factor analysis revealed the orientation/spatial cognitive function (orientation and spatial cognition) and attention/executive function (attention, memory, and execution) factors. Structural validity was supported by confirmatory factor analysis. All two-factor-based subtasks showed adequate internal consistency (MacDonald's omega ≥0.6). The total CogEvo score and two-factor scores were significantly correlated with neuropsychological test results. Based on the total CogEvo score, the cognitively normal and cognitive decline groups were identified by receiver operating characteristic curve analysis with a moderate predictive performance. The cognitive decline group was well identified using the orientation/spatial cognitive function factor. Conclusions CogEvo is a valid and reliable screening tool for cognitive function evaluation. It proved useful in the early identification of cognitive decline in our study sample.
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Affiliation(s)
- Yoichi Sawada
- Department of Contemporary Welfare, Faculty of Health and WelfareOkayama Prefectural UniversitySojaOkayamaJapan
| | - Toru Satoh
- Department of Neurological SurgeryRyofukai Satoh Neurosurgical HospitalFukuyamaHiroshimaJapan
| | - Hideaki Saba
- Department of RehabilitationRyofukai Satoh Neurosurgical HospitalFukuyamaHiroshimaJapan
| | - Hiroshi Kitamoto
- Department of RehabilitationRyofukai Satoh Neurosurgical HospitalFukuyamaHiroshimaJapan
| | - Yoshiki Kato
- Department of RehabilitationRyofukai Satoh Neurosurgical HospitalFukuyamaHiroshimaJapan
| | - Yoshiko Shiozuka
- Department of RehabilitationRyofukai Satoh Neurosurgical HospitalFukuyamaHiroshimaJapan
| | - Tomoko Kuwada
- Department of RehabilitationRyofukai Satoh Neurosurgical HospitalFukuyamaHiroshimaJapan
| | - Kana Murakami
- Department of Neurological SurgeryRyofukai Satoh Neurosurgical HospitalFukuyamaHiroshimaJapan
| | - Megumi Sasaki
- Department of Neurological SurgeryRyofukai Satoh Neurosurgical HospitalFukuyamaHiroshimaJapan
| | - Yudai Abe
- Department of Neurological SurgeryRyofukai Satoh Neurosurgical HospitalFukuyamaHiroshimaJapan
| | - Kaori Harano
- Department of Human Welfare, Faculty of Human RelationsOtsuma Women's UniversityChiyoda‐kuTokyoJapan
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22
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Mavragani A, Mukaino M, Imaeda S, Sawada M, Satoji K, Nagai A, Hirano S, Okazaki H, Saitoh E, Sonoda S, Otaka Y. A Tablet-Based Aphasia Assessment System "STELA": Feasibility and Validation Study. JMIR Form Res 2023; 7:e42219. [PMID: 36753308 PMCID: PMC9947769 DOI: 10.2196/42219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 01/01/2023] [Accepted: 01/03/2023] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND There is an extensive library of language tests, each with excellent psychometric properties; however, many of the tests available take considerable administration time, possibly bearing psychological strain on patients. The Short and Tailored Evaluation of Language Ability (STELA) is a simplified, tablet-based language ability assessment system developed to address this issue, with a reduced number of items and automated testing process. OBJECTIVE The aim of this paper is to assess the administration time, internal consistency, and validity of the STELA. METHODS The STELA consists of a tablet app, a microphone, and an input keypad for clinician's use. The system is designed to assess language ability with 52 questions grouped into 2 comprehension modalities (auditory comprehension and reading comprehension) and 3 expression modalities (naming and sentence formation, repetition, and reading aloud). Performance in each modality was scored as the correct answer rate (0-100), and overall performance expressed as the sum of modality scores (out of 500 points). RESULTS The time taken to complete the STELA was significantly less than the time for the WAB (mean 16.2, SD 9.4 vs mean 149.3, SD 64.1 minutes; P<.001). The STELA's total score was strongly correlated with the WAB Aphasia Quotient (r=0.93, P<.001), supporting the former's concurrent validity concerning the WAB, which is a gold-standard aphasia assessment. Strong correlations were also observed at the subscale level; STELA auditory comprehension versus WAB auditory comprehension (r=0.75, P<.001), STELA repetition versus WAB repetition (r=0.96, P<.001), STELA naming and sentence formation versus WAB naming and word finding (r=0.81, P<.001), and the sum of STELA reading comprehension or reading aloud versus WAB reading (r=0.82, P<.001). Cronbach α obtained for each modality was .862 for auditory comprehension, .872 for reading comprehension, .902 for naming and sentence formation, .787 for repetition, and .892 for reading aloud. Global Cronbach α was .961. The average of the values of item-total correlation to each subscale was 0.61 (SD 0.17). CONCLUSIONS Our study confirmed significant time reduction in the assessment of language ability and provided evidence for good internal consistency and validity of the STELA tablet-based aphasia assessment system.
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Affiliation(s)
| | - Masahiko Mukaino
- Deparment of Rehabilitation Medicine, Hokkaido University Hospital, Sapporo, Japan.,Department of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Japan
| | - Sayuri Imaeda
- Department of Rehabilitation, Fujita Health University Hospital, Toyoake, Japan
| | - Manami Sawada
- Department of Rehabilitation, Fujita Health University Hospital, Toyoake, Japan
| | - Kumi Satoji
- Department of Rehabilitation, Fujita Health University Hospital, Toyoake, Japan
| | - Ayako Nagai
- Department of Rehabilitation, Fujita Health University Nanakuri Memorial Hospital, Tsu, Japan
| | - Satoshi Hirano
- Department of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Japan
| | - Hideto Okazaki
- Department of Rehabilitation Medicine II, School of Medicine, Fujita Health University, Tsu, Japan
| | - Eiichi Saitoh
- Department of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Japan
| | - Shigeru Sonoda
- Department of Rehabilitation Medicine II, School of Medicine, Fujita Health University, Tsu, Japan
| | - Yohei Otaka
- Department of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Japan
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Ramnarain D, Pouwels S, Fernández-Gonzalo S, Navarra-Ventura G, Balanzá-Martínez V. Delirium-related psychiatric and neurocognitive impairment and the association with post-intensive care syndrome-A narrative review. Acta Psychiatr Scand 2023; 147:460-474. [PMID: 36744298 DOI: 10.1111/acps.13534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 01/21/2023] [Accepted: 01/23/2023] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Delirium is common among patients admitted to the intensive care unit (ICU) and its impact on the neurocognitive and psychiatric state of survivors is of great interest. These new-onset or worsening conditions, together with physical alterations, are called post-intensive care syndrome (PICS). Our aim is to update on the latest screening and follow-up options for psychological and cognitive sequelae of PICS. METHOD This narrative review discusses the occurrence of delirium in ICU settings and the relatively new concept of PICS. Psychiatric and neurocognitive morbidities that may occur in survivors of critical illness following delirium are addressed. Future perspectives for practice and research are discussed. RESULTS There is no "gold standard" for diagnosing delirium in the ICU, but two extensively validated tools, the confusion assessment method for the ICU and the intensive care delirium screening checklist, are often used. PICS complaints are frequent in ICU survivors who have suffered delirium and have been recognized as an important public health and socio-economic problem worldwide. Depression, anxiety, post-traumatic stress disorder, and long-term cognitive impairment are recurrently exhibited. Screening tools for these deficits are discussed, as well as the suggestion of early assessment after discharge and at 3 and 12 months. CONCLUSIONS Delirium is a complex but common phenomenon in the ICU and a risk factor for PICS. Its diagnosis is challenging with potential long-term adverse outcomes, including psychiatric and cognitive difficulties. The implementation of screening and follow-up protocols for PICS sequelae is warranted to ensure early detection and appropriate management.
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Affiliation(s)
- Dharmanand Ramnarain
- Department of Intensive Care Medicine, Elisabeth-Tweesteden Hospital, Tilburg, The Netherlands.,Department of Intensive Care Medicine, Saxenburgh Medical Center, Hardenberg, The Netherlands.,Departmentof Medical and Clinical Psychology, Center of Research on Psychological and Somatic disease (CoRPS), Tilburg University, Tilburg, The Netherlands
| | - Sjaak Pouwels
- Department of Intensive Care Medicine, Elisabeth-Tweesteden Hospital, Tilburg, The Netherlands.,Department of General, Abdominal and Minimally Invasive Surgery, Helios Klinikum, Krefeld, Germany
| | - Sol Fernández-Gonzalo
- Critical Care Center, Hospital Universitari Parc Taulí, Institut d'Investigació i Innovació Parc Taulí I3PT, Universitat Autònoma de Barcelona, Sabadell, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Clinical and Health Psychology, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Guillem Navarra-Ventura
- Critical Care Center, Hospital Universitari Parc Taulí, Institut d'Investigació i Innovació Parc Taulí I3PT, Universitat Autònoma de Barcelona, Sabadell, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Vicent Balanzá-Martínez
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
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Treacy C, Levenstein JM, Jefferies A, Metse AP, Schaumberg MA, Villani A, Boucas AP, Hermens DF, Lagopoulos J, Andrews SC. The LEISURE Study: A Longitudinal Randomized Controlled Trial Protocol for a Multi-Modal Lifestyle Intervention Study to Reduce Dementia Risk in Healthy Older Adults. J Alzheimers Dis 2023; 94:841-856. [PMID: 37334601 DOI: 10.3233/jad-230193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Dementia is understood to arise from a mixed etiology, enveloping chronic inflammatory and vascular impacts on the brain, driven by a constellation of modifiable risk factors which are largely mediated by lifestyle-related behaviors. These risk factors manifest over a prolonged preclinical period and account for up to 40% of the population attributable risk for dementia, representing viable targets for early interventions aimed at abating disease onset and progression. Here we outline the protocol for a 12-week randomized control trial (RCT) of a multimodal Lifestyle Intervention Study for Dementia Risk Reduction (LEISURE), with longitudinal follow-up at 6-months and 24-months post-intervention. This trial integrates exercise, diet, sleep, and mindfulness to simultaneously target multiple different etiopathogenetic mechanisms and their interplay in a healthy older adult population (aged 50-85 years), and assesses dementia risk reduction as the primary endpoint. The LEISURE study is located in the Sunshine Coast region of Australia, which has one of the nation's highest proportions of adults aged over 50 years (36.4%), and corresponding dementia prevalence. This trial is novel in its inclusion of mindfulness and sleep as multidomain lifestyle targets, and in its comprehensive suite of secondary outcomes (based on psychological, physical health, sleep activity, and cognitive data) as well as exploratory neuroimaging (magnetic resonance imaging and electroencephalography) and molecular biology measures. These measures will provide greater insights into the brain-behavioral underpinnings of dementia prevention, as well as the predictors and impacts of the proposed lifestyle intervention. The LEISURE study was prospectively registered (ACTRN12620000054910) on 19 January 2020.
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Affiliation(s)
- Ciara Treacy
- Thompson Institute, University of the Sunshine Coast, Maroochydore DC, QLD, Australia
| | - Jacob M Levenstein
- Thompson Institute, University of the Sunshine Coast, Maroochydore DC, QLD, Australia
| | - Annelise Jefferies
- Thompson Institute, University of the Sunshine Coast, Maroochydore DC, QLD, Australia
| | - Alexandra P Metse
- School of Health, University of the Sunshine Coast, Maroochydore DC, QLD, Australia
- School of Psychological Sciences, University of Newcastle, University Drive, Callaghan, NSW, Australia
| | - Mia A Schaumberg
- School of Health, University of the Sunshine Coast, Maroochydore DC, QLD, Australia
- School of Human Movement and Nutrition Sciences, The University of Queensland, St Lucia, QLD, Australia
- Sunshine Coast Health Institute, Sunshine Coast Hospital and Health Service, Birtinya, QLD, Australia
- Manna Institute, University of the Sunshine Coast, QLD, Australia
| | - Anthony Villani
- School of Health, University of the Sunshine Coast, Maroochydore DC, QLD, Australia
| | - Ana P Boucas
- Thompson Institute, University of the Sunshine Coast, Maroochydore DC, QLD, Australia
| | - Daniel F Hermens
- Thompson Institute, University of the Sunshine Coast, Maroochydore DC, QLD, Australia
| | - Jim Lagopoulos
- Thompson Institute, University of the Sunshine Coast, Maroochydore DC, QLD, Australia
| | - Sophie C Andrews
- Thompson Institute, University of the Sunshine Coast, Maroochydore DC, QLD, Australia
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Asensio D, Duñabeitia JA. The necessary, albeit belated, transition to computerized cognitive assessment. Front Psychol 2023; 14:1160554. [PMID: 37168430 PMCID: PMC10165007 DOI: 10.3389/fpsyg.2023.1160554] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 04/06/2023] [Indexed: 05/13/2023] Open
Abstract
Cognitive assessment is a common and daily process in educational, clinical, or research settings, among others. Currently, most professionals use classic pencil-and-paper screenings, tests, and assessment batteries. However, as the SARS-CoV-2 health crisis has shown, the pencil-and-paper format is becoming increasingly outdated and it is necessary to transition to new technologies, using computerized cognitive assessments (CCA). This article discusses the advantages, disadvantages, and implications of this necessary transition that professionals should face in the immediate future, and encourages careful adoption of this change to ensure a smooth transition.
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Affiliation(s)
- David Asensio
- Facultad de Lenguas y Educación, Universidad Nebrija, Madrid, Spain
| | - Jon Andoni Duñabeitia
- Facultad de Lenguas y Educación, Universidad Nebrija, Madrid, Spain
- AcqVA Aurora Center, UiT The Arctic University of Norway, Tromsø, Norway
- *Correspondence: Jon Andoni Duñabeitia,
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Zhou Y, Zhao Y, Xiang Z, Yan Z, Shu L, Xu X, Zhang L, Tian X. A dual-task-embedded virtual reality system for intelligent quantitative assessment of cognitive processing speed. Front Hum Neurosci 2023; 17:1158650. [PMID: 37063104 PMCID: PMC10097903 DOI: 10.3389/fnhum.2023.1158650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Accepted: 03/13/2023] [Indexed: 04/18/2023] Open
Abstract
Introduction Processing speed is defined as the ability to quickly process information, which is generally considered as one of the affected cognitive functions of multiple sclerosis and schizophrenia. Paper-pencil type tests are traditionally used in the assessment of processing speed. However, these tests generally need to be conducted under the guidance of clinicians in a specific environment, which limits their application in cognitive assessment or training in daily life. Therefore, this paper proposed an intelligent evaluation method of processing speed to assist clinicians in diagnosis. Methods We created an immersive virtual street embedded with Stroop task (VR-Street). The behavior and performance information was obtained by performing the dual-task of street-crossing and Stroop, and a 50-participant dataset was established with the label of standard scale. Utilizing Pearson correlation coefficient to find the relationship between the dual-task features and the cognitive test results, and an intelligent evaluation model was developed using machine learning. Results Statistical analysis showed that all Stroop task features were correlated with cognitive test results, and some behavior features also showed correlation. The estimated results showed that the proposed method can estimate the processing speed score with an adequate accuracy (mean absolute error of 0.800, relative accuracy of 0.916 and correlation coefficient of 0.804). The combination of Stroop features and behavior features showed better performance than single task features. Discussion The results of this work indicates that the dual-task design in this study better mobilizes participants' attention and cognitive resources, and more fully reflects participants' cognitive processing speed. The proposed method provides a new opportunity for accurate quantitative evaluation of cognitive function through virtual reality.
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Affiliation(s)
- Yuzhao Zhou
- School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China
| | - Yixuan Zhao
- School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China
| | - Zirui Xiang
- School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China
| | - Zhixin Yan
- School of Future Technology, South China University of Technology, Guangzhou, China
| | - Lin Shu
- School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China
- School of Future Technology, South China University of Technology, Guangzhou, China
- Pazhou Lab, Guangzhou, China
- *Correspondence: Lin Shu,
| | - Xiangmin Xu
- School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China
- School of Future Technology, South China University of Technology, Guangzhou, China
- Zhongshan Institute of Modern Industrial Technology of South China, University of Technology, Zhongshan, China
| | - Lulu Zhang
- Department of Psychiatry, Guangzhou First People’s Hospital, The Second Affiliated Hospital, South China University of Technology, Guangzhou, China
| | - Xiang Tian
- School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China
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Huang L, Li Y, Wu J, Chen N, Xia H, Guo Q. Shanghai Cognitive Screening: A Mobile Cognitive Assessment Tool Using Voice Recognition to Detect Mild Cognitive Impairment and Dementia in the Community. J Alzheimers Dis 2023; 95:227-236. [PMID: 37482999 DOI: 10.3233/jad-230277] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
BACKGROUND A rapid digital instrument is needed to facilitate community-based screening of mild cognitive impairment (MCI) and Alzheimer's disease (AD) in China. OBJECTIVE We developed a voice recognition-based cognitive assessment (Shanghai Cognitive Screening, SCS) on mobile devices and evaluated its diagnostic performance. METHODS Participants (N = 251) including healthy controls (N = 98), subjective cognitive decline (SCD, N = 42), MCI (N = 80), and mild AD (N = 31) were recruited from the memory clinic at Shanghai Sixth People's Hospital. The SCS is fully self-administered, takes about six minutes and measures the function of visual memory, language, and executive function. Participants were instructed to complete SCS tests, gold-standard neuropsychological tests and standardized structural 3T brain MRI. RESULTS The Cronbach's alpha was 0.910 of the overall scale, indicating high internal consistency. The SCS total score had an AUC of 0.921 to detect AD (sensitivity = 0.903, specificity = 0.945, positive predictive value = 0.700, negative predictive value = 0.986, likelihood ratio = 16.42, number needed for screening utility = 0.639), and an AUC of 0.838 to detect MCI (sensitivity = 0.793, specificity = 0.671, positive predictive value = 0.657, negative predictive value = 0.803, likelihood ratio = 2.41, number needed for screening utility = 0.944). The subtests demonstrated moderate to high correlations with the gold-standard tests from their respective cognitive domains. The SCS total score and its memory scores all correlated positively with relative volumes of the whole hippocampus and almost all subregions, after controlling for age, sex, and education. CONCLUSION The SCS has good diagnostic accuracy for detecting MCI and AD dementia and has the potential to facilitate large-scale screening in the general community.
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Affiliation(s)
- Lin Huang
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yatian Li
- Center for Brain Science, Shanghai BestCovered Limited, Shanghai, China
| | - Jingnan Wu
- Center for Brain Science, Shanghai BestCovered Limited, Shanghai, China
| | - Nan Chen
- Center for Brain Science, Shanghai BestCovered Limited, Shanghai, China
| | - Huanhuan Xia
- Center for Brain Science, Shanghai BestCovered Limited, Shanghai, China
| | - Qihao Guo
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
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A. P. P. TAM battery: Development and pilot testing of a Tamil computer-assisted cognitive test battery for older adults. Clin Neuropsychol 2022:1-20. [DOI: 10.1080/13854046.2022.2156396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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Jaffe PI, Kaluszka A, Ng NF, Schafer RJ. A massive dataset of the NeuroCognitive Performance Test, a web-based cognitive assessment. Sci Data 2022; 9:758. [PMID: 36481748 PMCID: PMC9731954 DOI: 10.1038/s41597-022-01872-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 11/23/2022] [Indexed: 12/13/2022] Open
Abstract
We present a dataset of approximately 5.5 million subtest scores from over 750,000 adults who completed the NeuroCognitive Performance Test (NCPT; Lumos Labs, Inc.), a validated, self-administered cognitive test accessed via web browser. The dataset includes assessment scores from eight test batteries consisting of 5-11 subtests that collectively span several cognitive domains including working memory, visual attention, and abstract reasoning. In addition to the raw scores and normative data from each subtest, the dataset includes basic demographic information from each participant (age, gender, and educational background). The scale and diversity of the dataset provides an unprecedented opportunity for researchers to investigate population-level variability in cognitive abilities and their relation to demographic factors. To facilitate reuse of this dataset by other researchers, we provide a Python module that supports several common preprocessing steps.
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Affiliation(s)
- Paul I. Jaffe
- grid.492838.c0000 0004 5913 2171Lumos Labs, Inc., San Francisco, CA 94108 USA ,grid.168010.e0000000419368956Department of Psychology, Stanford University, Stanford, CA 94305 USA
| | - Aaron Kaluszka
- grid.492838.c0000 0004 5913 2171Lumos Labs, Inc., San Francisco, CA 94108 USA
| | - Nicole F. Ng
- grid.492838.c0000 0004 5913 2171Lumos Labs, Inc., San Francisco, CA 94108 USA
| | - Robert J. Schafer
- grid.492838.c0000 0004 5913 2171Lumos Labs, Inc., San Francisco, CA 94108 USA
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Fukuoka T, Irie S, Watanabe Y, Kutsuna T, Abe A. The relationship between spatiotemporal gait parameters and cognitive function in healthy adults: protocol for a cross-sectional study. Pilot Feasibility Stud 2022; 8:154. [PMID: 35879785 PMCID: PMC9310397 DOI: 10.1186/s40814-022-01122-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 07/15/2022] [Indexed: 11/18/2022] Open
Abstract
Background Motor dysfunctions, such as slower walking speed, precede the occurrence of dementia and mild cognitive impairment, suggesting that walking parameters are effective biomarkers for detecting early sub-clinical cognitive risk. It is often also concurrent with self-complained cognitive dysfunction, called motoric cognitive risk (MCR) syndrome. Our preliminary study found several walking parameters, obtained by a three-dimensional motion capture system, to be correlated with computer-based assessments of various cognitive function modalities, although the sample size was small. The Cognitive-Gait (CoGait) Database Project, described in the current protocol, aims to establish a database of multi-dimensional walking and cognitive performance data, collected from a large sample of healthy participants, crucial for detecting early sub-clinical cognitive risk. Methods We will recruit healthy volunteers, 20 years or older, without any neurological musculoskeletal or psychiatric disorders. The estimated sample size is 450 participants, including a 10% attrition rate. Using computer-based cognitive assessments, participants will perform six tasks: (i) the simple reaction time task, (ii) Go/No-Go task, (iii) Stroop Color–Word Test, (iv) N-back test, (v) Trail Making Test, and (vi) digit span test. We will also conduct paper-based cognitive assessments such as the Mini-Mental State Examination, Montreal Cognitive Assessment, and the Geriatric Depression Scale-15 for assessing MCR. Gait will be measured through joint kinematics and global positioning in participants’ lower legs while walking at a comfortable and faster pace, using pants with an inertial measurement unit-based three-dimensional motion capture system. Finally, we will establish a prediction model for various cognitive performance modalities based on walking performance. Discussion This will be the first study to reveal the relationship between walking and cognitive performance using multi-dimensional data collected from a large sample of healthy adults, from the general population. Despite certain methodological limitations such as the accuracy of measurements, the CoGait database is expected to be the standard value for both walking and cognitive functions, supporting the evaluation of psychomotor function in early sub-clinical cognitive risk identification, including motoric-cognitive risk syndrome. Supplementary Information The online version contains supplementary material available at 10.1186/s40814-022-01122-z.
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Harvey PD, Depp CA, Rizzo AA, Strauss GP, Spelber D, Carpenter LL, Kalin NH, Krystal JH, McDonald WM, Nemeroff CB, Rodriguez CI, Widge AS, Torous J. Technology and Mental Health: State of the Art for Assessment and Treatment. Am J Psychiatry 2022; 179:897-914. [PMID: 36200275 DOI: 10.1176/appi.ajp.21121254] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Technology is ubiquitous in society and is now being extensively used in mental health applications. Both assessment and treatment strategies are being developed and deployed at a rapid pace. The authors review the current domains of technology utilization, describe standards for quality evaluation, and forecast future developments. This review examines technology-based assessments of cognition, emotion, functional capacity and everyday functioning, virtual reality approaches to assessment and treatment, ecological momentary assessment, passive measurement strategies including geolocation, movement, and physiological parameters, and technology-based cognitive and functional skills training. There are many technology-based approaches that are evidence based and are supported through the results of systematic reviews and meta-analyses. Other strategies are less well supported by high-quality evidence at present, but there are evaluation standards that are well articulated at this time. There are some clear challenges in selection of applications for specific conditions, but in several areas, including cognitive training, randomized clinical trials are available to support these interventions. Some of these technology-based interventions have been approved by the U.S. Food and Drug administration, which has clear standards for which types of applications, and which claims about them, need to be reviewed by the agency and which are exempt.
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Affiliation(s)
- Philip D Harvey
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Colin A Depp
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Albert A Rizzo
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Gregory P Strauss
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - David Spelber
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Linda L Carpenter
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Ned H Kalin
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - John H Krystal
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - William M McDonald
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Charles B Nemeroff
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Carolyn I Rodriguez
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Alik S Widge
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - John Torous
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
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Kim H, Jung J, Lee S. Therapeutic Application of Virtual Reality in the Rehabilitation of Mild Cognitive Impairment: A Systematic Review and Meta-Analysis. VISION (BASEL, SWITZERLAND) 2022; 6:vision6040068. [PMID: 36412649 PMCID: PMC9680273 DOI: 10.3390/vision6040068] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 11/13/2022] [Accepted: 11/16/2022] [Indexed: 11/22/2022]
Abstract
This review aimed to quantify the effect of therapeutic application of virtual reality (VR) on cognitive function in individuals with mild cognitive impairment (MCI). We searched for randomized controlled trials involving VR in the interventions provided to individuals with MCI. After searching four international electronic databases, we analyzed six studies involving 279 individuals with MCI. RevMan 5.4 was used for quality assessment and quantitative analysis. Therapeutic application of VR in individuals with MCI resulted in a significant improvement in cognitive function (mean difference = -1.46; 95% confidence interval: -2.53 to -0.39; heterogeneity: χ2 = 970.56, df = 18, I2 = 98%; and overall effect: Z = 2.67, p = 0.008). However, there was no significant improvement in the subcategories such as global cognition, working memory, executive function, memory function, and attention. In conclusion, feedback stimulation through VR has a potential value in improving cognitive function in individuals with MCI. However, on the basis of the results of the subcategories, a personalized VR program is required for the individual subcategories of cognitive function.
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Affiliation(s)
- Hyunjoong Kim
- Seogwangju Chung Yeon Rehabilitation Hospital, Gwangju 72070, Republic of Korea
- Department of Physical Therapy, Gwangju Health University, Gwangju 62287, Republic of Korea
| | - Jihye Jung
- Institute of SMART Rehabilitation, Sahmyook University, Seoul 01795, Republic of Korea
| | - Seungwon Lee
- Department of Physical Therapy, Sahmyook University, Seoul 01795, Republic of Korea
- Correspondence:
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Horvath AA, Berente DB, Vertes B, Farkas D, Csukly G, Werber T, Zsuffa JA, Kiss M, Kamondi A. Differentiation of patients with mild cognitive impairment and healthy controls based on computer assisted hand movement analysis: a proof-of-concept study. Sci Rep 2022; 12:19128. [PMID: 36352038 PMCID: PMC9646851 DOI: 10.1038/s41598-022-21445-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Accepted: 09/27/2022] [Indexed: 11/10/2022] Open
Abstract
Mild cognitive impairment (MCI) is the prodromal phase of dementia, and it is highly underdiagnosed in the community. We aimed to develop an automated, rapid (< 5 min), electronic screening tool for the recognition of MCI based on hand movement analysis. Sixty-eight individuals participated in our study, 46 healthy controls and 22 patients with clinically defined MCI. All participants underwent a detailed medical assessment including neuropsychology and brain MRI. Significant differences were found between controls and MCI groups in mouse movement characteristics. Patients showed higher level of entropy for both the left (F = 5.24; p = 0.001) and the right hand (F = 8.46; p < 0.001). Longer time was required in MCI to perform the fine motor task (p < 0.005). Furthermore, we also found significant correlations between mouse movement parameters and neuropsychological test scores. Correlation was the strongest between motor parameters and Clinical Dementia Rating scale (CDR) score (average r: - 0.36, all p's < 0.001). Importantly, motor parameters were not influenced by age, gender, or anxiety effect (all p's > 0.05). Our study draws attention to the utility of hand movement analysis, especially to the estimation of entropy in the early recognition of MCI. It also suggests that our system might provide a promising tool for the cognitive screening of large populations.
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Affiliation(s)
- Andras Attila Horvath
- grid.11804.3c0000 0001 0942 9821Department of Anatomy Histology and Embryology, Semmelweis University, Budapest, Hungary ,Neurocognitive Research Center, National Institute of Mental Health, Neurology and Neurosurgery, 57 Amerikai út, 1145 Budapest, Hungary
| | - Dalida Borbala Berente
- Neurocognitive Research Center, National Institute of Mental Health, Neurology and Neurosurgery, 57 Amerikai út, 1145 Budapest, Hungary ,grid.11804.3c0000 0001 0942 9821School of PhD Studies, Semmelweis University, Budapest, Hungary
| | | | - David Farkas
- Precognize Ltd, Budapest, Hungary ,grid.445689.20000 0004 0636 9626Moholy-Nagy University of Art and Design, Budapest, Hungary
| | - Gabor Csukly
- Neurocognitive Research Center, National Institute of Mental Health, Neurology and Neurosurgery, 57 Amerikai út, 1145 Budapest, Hungary ,grid.11804.3c0000 0001 0942 9821Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Tom Werber
- Neurocognitive Research Center, National Institute of Mental Health, Neurology and Neurosurgery, 57 Amerikai út, 1145 Budapest, Hungary
| | - Janos Andras Zsuffa
- Neurocognitive Research Center, National Institute of Mental Health, Neurology and Neurosurgery, 57 Amerikai út, 1145 Budapest, Hungary ,grid.11804.3c0000 0001 0942 9821Department of Family Medicine, Semmelweis University, Budapest, Hungary
| | - Mate Kiss
- Siemens Healthcare, Budapest, Hungary
| | - Anita Kamondi
- Neurocognitive Research Center, National Institute of Mental Health, Neurology and Neurosurgery, 57 Amerikai út, 1145 Budapest, Hungary ,grid.11804.3c0000 0001 0942 9821Department of Neurology, Semmelweis University, Budapest, Hungary
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Cattaneo G, Pachón-García C, Roca A, Alviarez-Schulze V, Opisso E, García-Molina A, Bartrés-Faz D, Pascual-Leone A, Tormos-Muñoz JM, Solana-Sánchez J. "Guttmann Cognitest" ®, preliminary validation of a digital solution to test cognitive performance. Front Aging Neurosci 2022; 14:987891. [PMID: 36408102 PMCID: PMC9669647 DOI: 10.3389/fnagi.2022.987891] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 10/10/2022] [Indexed: 02/19/2024] Open
Abstract
Thanks to technological advances, the administration of cognitive assessments via digital solutions continues to increase, both in research and clinical practice. "Guttmann Cognitest"°ledR is a digital solution for cognitive assessment which includes seven computerized tasks designed to assess main cognitive functions requiring approximately 20 min to be completed. The purpose of the present study was to validate it against standard and more extensive in-person neuropsychological assessments in the context of the Barcelona Brain Health Initiative (BBHI) cohort study. We studied 274 participants of the BBHI (126 women, mean age = 56.14, age range 44-69), who underwent an extensive in-person assessment, including a classical paper-and-pencil neuropsychological assessment and a cognitive assessment via the "Guttmann Cognitest"°ledR. Principal component analysis indicated that "Guttmann Cognitest"°ledR measures four main cognitive domains and convergent validity analysis demonstrated that cognitive performance was associated with gold standard paper and pencil tests. Results also showed an expected negative correlation with age, a relation with educational level as well as a gender effect. Regression-based norming equations for the sample tested are also reported. Performing a cognitive assessment with this digital solution is feasible and potentially useful to gather information about cognitive functioning in large samples and experimental settings.
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Affiliation(s)
- Gabriele Cattaneo
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
- Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona, Spain
| | - Catherine Pachón-García
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
- Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona, Spain
| | - Alba Roca
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Barcelona, Spain
- Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona, Spain
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
| | - Vanessa Alviarez-Schulze
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
- Departamento de Ciencias del Comportamiento, Escuela de Psicología, Universidad Metropolitana, Caracas, Venezuela
| | - Eloy Opisso
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
- Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona, Spain
| | - Alberto García-Molina
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
- Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona, Spain
| | - David Bartrés-Faz
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Barcelona, Spain
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
| | - Alvaro Pascual-Leone
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Barcelona, Spain
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States
- Deanna and Sidney Wolk Center for Memory Health, Hebrew SeniorLife, Boston, MA, United States
- Department of Neurology, Harvard Medical School, Boston, MA, United States
| | - Josep M. Tormos-Muñoz
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
- Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona, Spain
| | - Javier Solana-Sánchez
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
- Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona, Spain
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Vermeent S, Spaltman M, van Elswijk G, Miller JB, Schmand B. Philips IntelliSpace Cognition digital test battery: Equivalence and measurement invariance compared to traditional analog test versions. Clin Neuropsychol 2022; 36:2278-2299. [PMID: 34528868 DOI: 10.1080/13854046.2021.1974565] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Objective: To collect evidence of validity for a selection of digital tests on the Philips IntelliSpace Cognition (ISC) platform.Method: A total of 200 healthy participants (age 50-80) completed both the ISC battery and an analog version of the battery during separate visits. The battery included the following screeners and cognitive tests: Mini-Mental State Examination (2nd edition), Clock Drawing Test, Trail-Making Test (TMT), Rey Auditory Verbal Learning Test (RAVLT), Rey-Osterrieth Complex Figure Test (ROCFT), Letter Fluency, Star Cancellation Test, and Digit Span Test. The ISC tests were administered on an iPad Pro and were automatically scored using designated algorithms. The analog tests were administered in line with existing guidelines and scored by trained neuropsychologists. Criterion validity was established through relative agreement coefficients and raw score equivalence tests. In addition,measurement invariance analysis was used to compare the factor structures of both versions. Finally, we explored effects of demographics and experience with digital devices on performance.Results: We found fair to excellent relative agreement between test versions. Absolute equivalence was found for RAVLT, Letter Fluency, Star Cancellation Test, and Digit Span Test. Importantly, we demonstrated equal loadings of the digital and analog test versions on the same set of underlying cognitive domains. Demographic effects were mostly comparable between modalities, and people's experience with digital devices was found to only influence performance on TMT B.Conclusions: This study provides several sources of evidence for the validity of the ISC test battery, offering an important step in validating ISC for clinical use.Supplemental data for this article is available online at https://doi.org/10.1080/13854046.2021.1974565.
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Affiliation(s)
- Stefan Vermeent
- Digital Cognitive Diagnostics, Philips Healthcare, Eindhoven, The Netherlands
| | - Mandy Spaltman
- Digital Cognitive Diagnostics, Philips Healthcare, Eindhoven, The Netherlands
| | - Gijs van Elswijk
- Digital Cognitive Diagnostics, Philips Healthcare, Eindhoven, The Netherlands
| | - Justin B Miller
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV
| | - Ben Schmand
- Digital Cognitive Diagnostics, Philips Healthcare, Eindhoven, The Netherlands
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Sabahi Z, Farhoudi M, Naseri A, Talebi M. Working memory assessment using cambridge neuropsychological test automated battery can help in the diagnosis of mild cognitive impairment: a systematic review and meta-analysis. Dement Neuropsychol 2022; 16:444-456. [DOI: 10.1590/1980-5764-dn-2022-0006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 04/18/2022] [Accepted: 05/02/2022] [Indexed: 11/21/2022] Open
Abstract
ABSTRACT Mild cognitive impairment (MCI) is an interstitial state between normal aging and dementia. Objective: In this study, we investigated working memory (WM) profiles of MCI patients using the Cambridge Neuropsychological Test Automated Battery (CANTAB). We also examined the diagnostic accuracy and possible associated factors as secondary outcomes of the study. Methods: We conducted an electronic search on EMBASE, PubMed, and ScienceDirect databases. Studies with MCI participants and using CANTAB battery subtests for the assessment of WM were included. Meta-analysis was conducted using the CMA2 software. Results: Out of 1537 records, 14 studies were covered in this systematic review, and 7 of them were included in the meta-analysis. There was a significant difference between MCI patients and healthy controls in spatial working memory (SWM) (SDM: 0.535; 95%CI 11–96; p-value=0.014), spatial span (SSP) (SDM: 0.649 95%CI 0.297–0.100; p-value<0.01), and rapid visual information processing (RVP) (SDM: 0.52; 95%CI 0.386–0.654; p-value<0.01). WM function of MCI patients was associated with the cerebrospinal fluid (CSF) levels of tau-protein and amyloid-beta (Aβ). Conclusions: WM is an impaired cognitive domain in MCI. CANTAB WM subtests including SSP, SWM, and RVP are accurate enough to be used as a proper assessment tool for the diagnosis of MCI in clinical settings. Tau-protein and Aβ are associated with lower WM scores in MCI patients; however, sex, age, psychiatric disorders, apolipoprotein 4 allele, and functional activity scores cannot affect WM.
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Affiliation(s)
| | | | - Amirreza Naseri
- Tabriz University of Medical Sciences, Iran; Tabriz University of Medical Sciences, Iran
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Amirpour A, Bergman L, Liander K, Eriksson LI, Eckerblad J, Nilsson U. Is the analogue cognitive test from the ISPOCD equivalent to the digital cognitive test Mindmore? A protocol for a randomised cross-over study including qualitative interviews with self-reported healthy seniors. BMJ Open 2022; 12:e062007. [PMID: 36127087 PMCID: PMC9490585 DOI: 10.1136/bmjopen-2022-062007] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Postoperative cognitive decline affects cognitive domains such as executive functions, memory, concentration and information processing. The analogue neuropsychological test developed by the International Study Group of Postoperative Cognitive Dysfunction (ISPOCD) is a well-established test for assessing cognitive performance. However, analogue tests are time-consuming, rarely cost-effective and can be at risk of administration bias. Digital solutions are comparable to analogue ones, have higher degrees of compliance and enable more standardised execution than analogue tests. Currently, there is a lack of recommendations for clinical evaluation of the patient's cognition in the perioperative setting, standard care usually means no cognitive assessments prior or after the surgery. There is a need to find an equivalent neuropsychological test to the ISPOCD to make it accessible and easier to implement in a clinical context for perioperative patients. This study aims to examine how healthy seniors perform on two neuropsychological tests, analogue versus digital and measure equivalency between tests with correlation analysis. METHODS AND ANALYSIS This study will use a randomised cross-over design, including qualitative interviews regarding test experiences. Healthy participants ≥60 years of age will be eligible to participate in the study. Cognitive function will be measured by using the ISPOCD test and the Mindmore digital test. The participants will self-report depressive symptoms with the Geriatric Depression Scale-15, user experience of the digital test using a modified version of the System Usability Scale and answer questionnaires targeting their experiences after the tests. Furthermore, according to the Swedish Quality of Recovery Scale, self-reported concentration difficulties will also be measured. ETHICS AND DISSEMINATION The study has been approved by the Swedish Ethical Review Authority (Dnr 2021-05486-01) and will follow the principles outlined in the 1964 Helsinki Declaration and its later amendments. Results from this study will be disseminated in peer-reviewed journals, at scientific conferences, and in social media. TRIAL REGISTRATION NUMBER 2021-01095; ClinicalTrials.gov.
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Affiliation(s)
- Anahita Amirpour
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Lina Bergman
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Karin Liander
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
- Perioperative Medicine and Intensive Care, Karolinska Universitetssjukhuset, Stockholm, Sweden
| | - Lars I Eriksson
- Perioperative Medicine and Intensive Care, Karolinska Universitetssjukhuset, Stockholm, Sweden
- Department of Physiology and Pharmacology Section for Anaesthesiology and Intensive Care Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Jeanette Eckerblad
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Ulrica Nilsson
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
- Perioperative Medicine and Intensive Care, Karolinska Universitetssjukhuset, Stockholm, Sweden
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Marques-Costa C, Simões MR, Almiro PA, Prieto G, Salomé Pinho M. Integrating Technology in Neuropsychological Assessment. EUROPEAN PSYCHOLOGIST 2022. [DOI: 10.1027/1016-9040/a000484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Abstract. Although neuropsychological assessments include some measures that are administered, scored, or interpreted using new technologies, most researchers in this area advocate that more technology should be integrated. The current situation in neuropsychological assessment may be conceptualized as triggering a crisis leading to a paradigm shift, as there is some resistance to adopting more technology. In this paper, the context of the present crisis in neuropsychological assessment, the main obstacles, and new developments will be discussed. An example of a new computerized assessment tool, the NIH Toolbox, is highlighted. Also addressed are potential issues: in the assessment with tablets illustrating it with the older adult population and how to ensure the compatibility of data collected through these devices within the framework of the European General Data Protection Regulation (GDPR). Recommendations for research, test development, and clinical practice are also provided.
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Affiliation(s)
- Catarina Marques-Costa
- Faculty of Psychology and Educational Sciences, University of Coimbra, Portugal
- Center for Research in Neuropsychology and Cognitive and Behavioral Intervention (CINEICC), University of Coimbra, Portugal
- Psychological Assessment and Psychometrics Laboratory (PsyAssessmentLab), University of Coimbra, Portugal
| | - Mário R. Simões
- Faculty of Psychology and Educational Sciences, University of Coimbra, Portugal
- Center for Research in Neuropsychology and Cognitive and Behavioral Intervention (CINEICC), University of Coimbra, Portugal
- Psychological Assessment and Psychometrics Laboratory (PsyAssessmentLab), University of Coimbra, Portugal
| | - Pedro A. Almiro
- Center for Research in Neuropsychology and Cognitive and Behavioral Intervention (CINEICC), University of Coimbra, Portugal
- Psychological Assessment and Psychometrics Laboratory (PsyAssessmentLab), University of Coimbra, Portugal
- Research Centre for Psychology (CIP), Autonomous University Lisbon, Portugal
| | - Gerardo Prieto
- Psychological Assessment and Psychometrics Laboratory (PsyAssessmentLab), University of Coimbra, Portugal
- Faculty of Psychology, University of Salamanca, Spain
| | - Maria Salomé Pinho
- Faculty of Psychology and Educational Sciences, University of Coimbra, Portugal
- Center for Research in Neuropsychology and Cognitive and Behavioral Intervention (CINEICC), University of Coimbra, Portugal
- Memory, Language, and Executive Functions Laboratory, University of Coimbra, Portugal
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Hackett K, Giovannetti T. Capturing Cognitive Aging in Vivo: Application of a Neuropsychological Framework for Emerging Digital Tools. JMIR Aging 2022; 5:e38130. [PMID: 36069747 PMCID: PMC9494215 DOI: 10.2196/38130] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 07/19/2022] [Accepted: 07/31/2022] [Indexed: 11/13/2022] Open
Abstract
As the global burden of dementia continues to plague our healthcare systems, efficient, objective, and sensitive tools to detect neurodegenerative disease and capture meaningful changes in everyday cognition are increasingly needed. Emerging digital tools present a promising option to address many drawbacks of current approaches, with contexts of use that include early detection, risk stratification, prognosis, and outcome measurement. However, conceptual models to guide hypotheses and interpretation of results from digital tools are lacking and are needed to sort and organize the large amount of continuous data from a variety of sensors. In this viewpoint, we propose a neuropsychological framework for use alongside a key emerging approach—digital phenotyping. The Variability in Everyday Behavior (VIBE) model is rooted in established trends from the neuropsychology, neurology, rehabilitation psychology, cognitive neuroscience, and computer science literature and links patterns of intraindividual variability, cognitive abilities, and everyday functioning across clinical stages from healthy to dementia. Based on the VIBE model, we present testable hypotheses to guide the design and interpretation of digital phenotyping studies that capture everyday cognition in vivo. We conclude with methodological considerations and future directions regarding the application of the digital phenotyping approach to improve the efficiency, accessibility, accuracy, and ecological validity of cognitive assessment in older adults.
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Affiliation(s)
- Katherine Hackett
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, United States
| | - Tania Giovannetti
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, United States
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Hwang EJ. Analysis of Factors Associated with Subjective Mild Cognitive Impairment (MCI) among Older Adults Resident in the Community. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10387. [PMID: 36012018 PMCID: PMC9408365 DOI: 10.3390/ijerph191610387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 08/14/2022] [Accepted: 08/17/2022] [Indexed: 06/15/2023]
Abstract
This study explored the associated factors of mild cognitive impairment (MCI) in older adults, focusing on personal characteristics and health promotion activities. The research design of this study was a non-experimental, cross-sectional design. This study used secondary data from the 2019 community health survey conducted by the Korea Disease Control and Prevention Agency (KDCA). In this study, 20,041 older adults with subjective MCI and 52,587 healthy older adults-a total of 72,628 subjects-were analyzed as the final subjects in this study. The data were analyzed by using descriptive statistics, a chi-square test, an independent t-test, and logistic regression. The results indicate that the probability of experiencing subjective MCI significantly decreased with an increase in monthly income (odds ratio (OR) = 1.71, 95% confidence interval (CI) = 1.19-2.46); increased with an increase in depressive symptoms (odds ratio (OR) = 1.09, 95% confidence interval (CI) = 1.04-1.15); and decreased with an increase in the quality of life level (OR = 0.90, 95% CI = 0.82-0.99). Through the results of this study, several factors related to MCI in older adults were identified. If these related factors are properly managed, the possibility of MCI in older adults may be reduced. Therefore, MCI in older adults should be addressed as a preventable disease rather than a natural aging process.
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Affiliation(s)
- Eun Jeong Hwang
- Department of Nursing, Sehan University, 1113 Samho-eup, Yeongam-gun 58447, Korea
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Howell T, Gummadi S, Bui C, Santhakumar J, Knight K, Roberson ED, Marson D, Chambless C, Gersteneker A, Martin R, Kennedy R, Zhang Y, Morris JC, Moulder KL, Mayo C, Carroll M, Li Y, Petersen RC, Stricker NH, Nosheny RL, Mackin S, Weiner MW. Development and implementation of an electronic Clinical Dementia Rating and Financial Capacity Instrument-Short Form. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12331. [PMID: 35898521 PMCID: PMC9309008 DOI: 10.1002/dad2.12331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 05/10/2022] [Indexed: 06/15/2023]
Abstract
INTRODUCTION To address the need for remote assessments of cognitive decline and dementia, we developed and administered electronic versions of the Clinical Dementia Rating (CDR®) and the Financial Capacity Instrument-Short Form (FCI-SF) (F-CAP®), called the eCDR and eFCI, respectively. METHODS The CDR and FCI-SF were adapted for remote, unsupervised, online use based on item response analysis of the standard instruments. Participants completed the eCDR and eFCI first in clinic, and then at home within 2 weeks. RESULTS Of the 243 enrolled participants, 179 (73%) cognitively unimpaired (CU), 50 (21%) with mild cognitive impairment (MCI) or dementia, and 14 (6%) with an unknown diagnosis, 84% and 85% of them successfully completed the eCDR and eFCI, respectively, at home. DISCUSSION These results show initial feasibility in developing and administering online instruments to remotely assess and monitor cognitive decline along the CU to MCI/very mild dementia continuum. Validation is an important next step.
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Affiliation(s)
- Taylor Howell
- San Francisco Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
| | - Shilpa Gummadi
- San Francisco Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
| | - Chau Bui
- San Francisco Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
| | - Jessica Santhakumar
- San Francisco Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
| | - Kristen Knight
- San Francisco Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
| | - Erik D. Roberson
- Alzheimer's Disease CenterUniversity of Alabama at BirminghamBirminghamAlabamaUSA
- Department of NeurologyUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Daniel Marson
- Alzheimer's Disease CenterUniversity of Alabama at BirminghamBirminghamAlabamaUSA
- Department of NeurologyUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Carol Chambless
- Alzheimer's Disease CenterUniversity of Alabama at BirminghamBirminghamAlabamaUSA
- Department of NeurologyUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Adam Gersteneker
- Department of NeurologyUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Roy Martin
- Department of NeurologyUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Richard Kennedy
- Alzheimer's Disease CenterUniversity of Alabama at BirminghamBirminghamAlabamaUSA
- Division of Gerontology, Geriatrics, and Palliative CareDepartment of MedicineUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Yue Zhang
- Division of Gerontology, Geriatrics, and Palliative CareDepartment of MedicineUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - John C. Morris
- Department of NeurologyWashington University in St. LouisSt. LouisMissouriUSA
| | - Krista L. Moulder
- Department of NeurologyWashington University in St. LouisSt. LouisMissouriUSA
| | - Connie Mayo
- Department of NeurologyWashington University in St. LouisSt. LouisMissouriUSA
| | - Maria Carroll
- Department of NeurologyWashington University in St. LouisSt. LouisMissouriUSA
| | - Yan Li
- Department of NeurologyWashington University in St. LouisSt. LouisMissouriUSA
| | | | - Nikki H. Stricker
- Mayo ClinicDepartment of Psychiatry and PsychologyRochesterMinnesotaUSA
| | - Rachel L. Nosheny
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- San Francisco Department of Psychiatry and Behavioral SciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Scott Mackin
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- San Francisco Department of Psychiatry and Behavioral SciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Michael W. Weiner
- San Francisco Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
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Wang P, Fang Y, Qi JY, Li HJ. FISHERMAN: A Serious Game for Executive Function Assessment of Older Adults. Assessment 2022:10731911221105648. [PMID: 35762827 DOI: 10.1177/10731911221105648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Executive functions (EFs) are essential for daily living activities but decline with age. Convenient assessment and timely intervention have particular significance for older adults. However, the traditional laboratory tasks of EFs are typically monotonous and inconvenient. The current study aimed to develop an interesting and convenient supplementary tool to assess EFs for older adults. According to the theory of EFs, we developed a serious game, FISHERMAN, to assess EFs. The game includes three subgames, Cautious Fisherman, Agile Fisherman, and Wise Fisherman, targeting core components of inhibition, shifting, and working memory, respectively. The current study aims to verify the reliability and validity of the game. One hundred and eight healthy older adults participated in this study and were tested through the FISHERMAN game and a battery of cognitive tests. The results show that the FISHERMAN game has high internal consistency reliability and good construct validity as well as criterion-related validity, suggesting that the game design is valid and can be used in EFs assessment for older adults. Future studies are warranted to establish the norm of the FISHERMAN game in older adults and investigate whether the FISHERMAN game can be generalized to other populations.
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Affiliation(s)
- Ping Wang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Yuan Fang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Jing-Yi Qi
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Hui-Jie Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
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43
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Logogenic Primary Progressive Aphasia or Alzheimer Disease: Contribution of Acoustic Markers in Early Differential Diagnosis. LIFE (BASEL, SWITZERLAND) 2022; 12:life12070933. [PMID: 35888023 PMCID: PMC9316974 DOI: 10.3390/life12070933] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 06/09/2022] [Accepted: 06/20/2022] [Indexed: 11/22/2022]
Abstract
The logopenic variant of Primary Progressive Aphasia (lvPPA), a syndromic disorder centered on language impairment, often presents variable underlying neurodegenerative pathologies such as Alzheimer Disease (AD). Actual language assessment tests and lumbar puncture, focused on AD diagnosis, cannot precisely distinguish the symptoms, or predict their progression at onset time. We analyzed acoustic markers, aiming to discriminate lvPPA and AD as well as the influence of AD biomarkers on acoustic profiles at the beginning of the disease. We recruited people with AD (n = 8) and with lvPPA (n = 8), with cerebrospinal fluid biomarker profiles determined by lumbar puncture. The participants performed a sentence repetition task that allows assessing potential lvPPA phonological loop deficits. We found that temporal and prosodic markers significantly differentiate the lvPPA and AD group at an early stage of the disease. Biomarker and acoustic profile comparisons discriminated the two lvPPA subgroups according to their biomarkers. For lvPPA with AD biomarkers, acoustic profile equivalent to an atypical AD form with a specific alteration of the phonological loop is shown. However, lvPPA without AD biomarkers has an acoustic profile approximating the one for DLFT. Therefore, these results allow us to classify lvPPA differentially from AD based on acoustic markers from a sentence repetition task. Furthermore, our results suggest that acoustic analysis would constitute a clinically efficient alternative to refused lumbar punctures. It offers the possibility to facilitate early, specific, and accessible neurodegenerative diagnosis and may ease early care with speech therapy, preventing the progression of symptoms.
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Yamada Y, Shinkawa K, Kobayashi M, Badal VD, Glorioso D, Lee EE, Daly R, Nebeker C, Twamley EW, Depp C, Nemoto M, Nemoto K, Kim HC, Arai T, Jeste DV. Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets. JMIR Form Res 2022; 6:e37014. [PMID: 35511253 PMCID: PMC9121219 DOI: 10.2196/37014] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 03/25/2022] [Accepted: 04/05/2022] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND With the aging of populations worldwide, early detection of cognitive impairments has become a research and clinical priority, particularly to enable preventive intervention for dementia. Automated analysis of the drawing process has been studied as a promising means for lightweight, self-administered cognitive assessment. However, this approach has not been sufficiently tested for its applicability across populations. OBJECTIVE The aim of this study was to evaluate the applicability of automated analysis of the drawing process for estimating global cognition in community-dwelling older adults across populations in different nations. METHODS We collected drawing data with a digital tablet, along with Montreal Cognitive Assessment (MoCA) scores for assessment of global cognition, from 92 community-dwelling older adults in the United States and Japan. We automatically extracted 6 drawing features that characterize the drawing process in terms of the drawing speed, pauses between drawings, pen pressure, and pen inclinations. We then investigated the association between the drawing features and MoCA scores through correlation and machine learning-based regression analyses. RESULTS We found that, with low MoCA scores, there tended to be higher variability in the drawing speed, a higher pause:drawing duration ratio, and lower variability in the pen's horizontal inclination in both the US and Japan data sets. A machine learning model that used drawing features to estimate MoCA scores demonstrated its capability to generalize from the US dataset to the Japan dataset (R2=0.35; permutation test, P<.001). CONCLUSIONS This study presents initial empirical evidence of the capability of automated analysis of the drawing process as an estimator of global cognition that is applicable across populations. Our results suggest that such automated analysis may enable the development of a practical tool for international use in self-administered, automated cognitive assessment.
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Affiliation(s)
| | | | | | - Varsha D Badal
- Department of Psychiatry, University of California San Diego, La Jolla, CA, United States.,Sam and Rose Stein Institute for Research on Aging, University of California San Diego, La Jolla, CA, United States
| | - Danielle Glorioso
- Department of Psychiatry, University of California San Diego, La Jolla, CA, United States.,Sam and Rose Stein Institute for Research on Aging, University of California San Diego, La Jolla, CA, United States
| | - Ellen E Lee
- Department of Psychiatry, University of California San Diego, La Jolla, CA, United States.,Sam and Rose Stein Institute for Research on Aging, University of California San Diego, La Jolla, CA, United States.,VA San Diego Healthcare System, San Diego, CA, United States
| | - Rebecca Daly
- Department of Psychiatry, University of California San Diego, La Jolla, CA, United States.,Sam and Rose Stein Institute for Research on Aging, University of California San Diego, La Jolla, CA, United States
| | - Camille Nebeker
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, United States
| | - Elizabeth W Twamley
- Department of Psychiatry, University of California San Diego, La Jolla, CA, United States.,Sam and Rose Stein Institute for Research on Aging, University of California San Diego, La Jolla, CA, United States.,VA San Diego Healthcare System, San Diego, CA, United States
| | - Colin Depp
- Department of Psychiatry, University of California San Diego, La Jolla, CA, United States.,Sam and Rose Stein Institute for Research on Aging, University of California San Diego, La Jolla, CA, United States
| | - Miyuki Nemoto
- Department of Psychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Kiyotaka Nemoto
- Department of Psychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Ho-Cheol Kim
- AI and Cognitive Software, IBM Almaden Research Center, San Jose, CA, United States
| | - Tetsuaki Arai
- Department of Psychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Dilip V Jeste
- Department of Psychiatry, University of California San Diego, La Jolla, CA, United States.,Sam and Rose Stein Institute for Research on Aging, University of California San Diego, La Jolla, CA, United States.,Department of Neurosciences, University of California San Diego, La Jolla, CA, United States
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Rodriguez-Porcel F, Wyman-Chick KA, Abdelnour Ruiz C, Toledo JB, Ferreira D, Urwyler P, Weil RS, Kane J, Pilotto A, Rongve A, Boeve B, Taylor JP, McKeith I, Aarsland D, Lewis SJG. Clinical outcome measures in dementia with Lewy bodies trials: critique and recommendations. Transl Neurodegener 2022; 11:24. [PMID: 35491418 PMCID: PMC9059356 DOI: 10.1186/s40035-022-00299-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 03/31/2022] [Indexed: 12/28/2022] Open
Abstract
The selection of appropriate outcome measures is fundamental to the design of any successful clinical trial. Although dementia with Lewy bodies (DLB) is one of the most common neurodegenerative conditions, assessment of therapeutic benefit in clinical trials often relies on tools developed for other conditions, such as Alzheimer's or Parkinson's disease. These may not be sufficiently valid or sensitive to treatment changes in DLB, decreasing their utility. In this review, we discuss the limitations and strengths of selected available tools used to measure DLB-associated outcomes in clinical trials and highlight the potential roles for more specific objective measures. We emphasize that the existing outcome measures require validation in the DLB population and that DLB-specific outcomes need to be developed. Finally, we highlight how the selection of outcome measures may vary between symptomatic and disease-modifying therapy trials.
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Affiliation(s)
- Federico Rodriguez-Porcel
- Department of Neurology, Medical University of South Carolina, 208b Rutledge Av., Charleston, SC, 29403, USA.
| | - Kathryn A. Wyman-Chick
- grid.280625.b0000 0004 0461 4886Department of Neurology, Center for Memory and Aging, HealthPartners, Saint Paul, MN USA
| | - Carla Abdelnour Ruiz
- grid.7080.f0000 0001 2296 0625Autonomous University of Barcelona, Barcelona, Spain
| | - Jon B. Toledo
- grid.15276.370000 0004 1936 8091Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL USA
| | - Daniel Ferreira
- grid.4714.60000 0004 1937 0626Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society, Center for Alzheimer’s Research, Karolinska Institutet, Stockholm, Sweden ,grid.66875.3a0000 0004 0459 167XDepartment of Radiology, Mayo Clinic, Rochester, MN USA
| | - Prabitha Urwyler
- grid.5734.50000 0001 0726 5157ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
| | - Rimona S. Weil
- grid.83440.3b0000000121901201Dementia Research Centre, University College London, London, UK
| | - Joseph Kane
- grid.4777.30000 0004 0374 7521Centre for Public Health, Queen’s University, Belfast, UK
| | - Andrea Pilotto
- grid.7637.50000000417571846Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Arvid Rongve
- grid.413782.bDepartment of Research and Innovation, Helse Fonna, Haugesund Hospital, Haugesund, Norway ,grid.7914.b0000 0004 1936 7443Institute of Clinical Medicine (K1), The University of Bergen, Bergen, Norway
| | - Bradley Boeve
- grid.66875.3a0000 0004 0459 167XDepartment of Neurology, Center for Sleep Medicine, Mayo Clinic, Rochester, MN USA
| | - John-Paul Taylor
- grid.1006.70000 0001 0462 7212Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Ian McKeith
- grid.1006.70000 0001 0462 7212Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Dag Aarsland
- grid.13097.3c0000 0001 2322 6764Department of Old Age Psychiatry Institute of Psychiatry Psychology and Neuroscience, King’s College London, London, UK
| | - Simon J. G. Lewis
- grid.1013.30000 0004 1936 834XForeFront Parkinson’s Disease Research Clinic, Brain and Mind Centre, School of Medical Sciences, University of Sydney, 100 Mallett Street, Camperdown, NSW 2050 Australia
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Bat BKK, Chan JYC, Chan TK, Huo Z, Yip BHK, Wong MCS, Tsoi KKF. Comparing drawing under instructions with image copying for mild cognitive impairment (MCI) or dementia screening: a meta-analysis of 92 diagnostic studies. Aging Ment Health 2022; 26:1019-1026. [PMID: 33999724 DOI: 10.1080/13607863.2021.1922599] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
OBJECTIVES Drawing is a major component of cognitive screening for dementia. It can be performed without language restriction. Drawing pictures under instructions and copying images are different screening approaches. The objective of this study was to compare the diagnostic performance between drawing under instructions and image copying for MCI and dementia screening. METHOD A literature search was carried out in the OVID databases with keywords related to drawing for cognitive screening. Study quality and risk of bias were assessed by QUADAS-2. The level of diagnostic accuracy across different drawing tests was pooled by bivariate analysis in a random effects model. The area under the hierarchical summary receiver-operating characteristic curve (AUC) was constructed to summarize the diagnostic performance. RESULTS Ninety-two studies with sample size of 22,085 were included. The pooled results for drawing under instructions showed a sensitivity of 79% (95% CI: 76 - 83%) and a specificity of 80% (95% CI: 77 - 83%) with AUC of 0.87 (95% CI: 0.83 - 0.89). The pooled results for image copying showed a sensitivity of 71% (95% CI: 62 - 79%) and a specificity of 83% (95% CI: 72 - 90%) with AUC of 0.83 (95% CI: 0.80 - 0.86). Clock-drawing test was the screening test used in the majority of studies. CONCLUSION Drawing under instructions showed a similar diagnostic performance when compared with image copying for cognitive screening and the administration of image copying is relatively simpler. Self-screening for dementia is feasible to be done at home in the near future.
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Affiliation(s)
- Baker K K Bat
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Joyce Y C Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Tak Kit Chan
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Zhaohua Huo
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Benjamin H K Yip
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Martin C S Wong
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Kelvin K F Tsoi
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.,Stanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Hong Kong, China
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47
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Ashford JW, Schmitt FA, Bergeron MF, Bayley PJ, Clifford JO, Xu Q, Liu X, Zhou X, Kumar V, Buschke H, Dean M, Finkel SI, Hyer L, Perry G. Now is the Time to Improve Cognitive Screening and Assessment for Clinical and Research Advancement. J Alzheimers Dis 2022; 87:305-315. [DOI: 10.3233/jad-220211] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Alzheimer’s disease (AD) is the only cause of death ranked in the top ten globally without precise early diagnosis or effective means of prevention or treatment. Further, AD was identified as a pandemic [1] well before COVID-19 was dubbed a 21st century pandemic [2]. And now, with the realization of the prominent secondary impacts of pandemics, there is a growing, widespread recognition of the tremendous magnitude of the impending burden from AD in an aging world population in the coming decades [3]. This appreciation has amplified the growing and pressing need for a new, efficacious, and practical platform to detect and track cognitive decline, beginning in the preliminary (prodromal) phases of the disease, sensitively, accurately, effectively, reliably, efficiently, and remotely [4–7]. Moreover, the parallel necessity of clarifying and understanding risk factors, developing successful prevention strategies [8–17], and discovering and monitoring viable and effective treatments could all benefit from accurate and efficient screening and assessment platforms. Modern recognition of AD [18] as a common affliction of the elderly began in 1968 with a paper by Blessed, Tomlinson, & Roth [19] in which two tests, one a brief assessment of cognitive function and the other a measure of daily function, demonstrated impairment which was associated with the postmortem counts of neurofibrillary tangles, composed mainly of microtubule-associated protein-tau (tau), in the brain, though not to senile plaques, composed mainly of amyloid-β (Aβ). Even in more recent analyses, the tangles correspond with the severity of dementia more than the plaques [20, 21]. Since 1960, a plethora of cognitive tests, paper and pencil [22, 23], simple screening models [24], and computerized [25–27], have been developed to assess the dysfunction associated with AD. However, there has been limited application of Modern Test Theory, which includes Item Characteristic Curve Analysis, used in the technological development of such tools [28–31], along with widespread failure to understand the underlying AD pathological process to guide test development [32, 33]. The lack of such development has likely been a major contributor to the failure of the field to develop timely screening approaches for AD [34, 35], inaccurate assessment of the progression of AD [36], and even now, failure to find an effective approach to stopping AD.
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Affiliation(s)
- J. Wesson Ashford
- War Related Illness and Injury Study Center, VA Palo Alto HCS, Palo Alto, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
| | - Frederick A. Schmitt
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
- Departments of Neurology, Psychiatry, Neurosurgery, Psychology, Behavioral Science; Sanders-Brown Center on Aging, Spinal Cord & Brain Injury Research Center, University of Kentucky, Sanders-Brown Center on Aging, Lexington, KY, USA
| | | | - Peter J. Bayley
- War Related Illness and Injury Study Center, VA Palo Alto HCS, Palo Alto, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
| | | | - Qun Xu
- Health Management Center, Department of Neurology, Renji Hospital of Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaolei Liu
- Department of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
- Yunnan Provincial Clinical Research Center for Neurological Diseases, Yunnan, China
| | - Xianbo Zhou
- Center for Alzheimer’s Research, Washington Institute of Clinical Research, Vienna, VA, USA
- Zhongze Therapeutics, Shanghai, China
| | | | - Herman Buschke
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
- The Saul R. Korey Department of Neurology and Dominick P. Purpura Department of Neuroscience, Lena and Joseph Gluck Distinguished Scholar in Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Margaret Dean
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
- Geriatric Division, Internal Medicine, Texas Tech Health Sciences Center, Amarillo, TX, USA
| | - Sanford I. Finkel
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
- University of Chicago Medical School, Chicago, IL, USA
| | - Lee Hyer
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
- Gateway Behavioral Health, Mercer University, School of Medicine, Savannah, GA, USA
| | - George Perry
- Medical, Scientific, Memory Screening Advisory Board, Alzheimer’s Foundation of American (AFA), New York, USA
- Brain Health Consortium, Department Biology and Chemistry, University of Texas at San Antonio, San Antonio, TX, USA
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48
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Wang CSM, Wu JY, Hsu WT, Chien PF, Chen PL, Huang YC, Cheng KS. Using Self-Administered Game-Based Cognitive Assessment to Screen for Degenerative Dementia: A Pilot Study. J Alzheimers Dis 2022; 86:877-890. [PMID: 35147533 DOI: 10.3233/jad-215142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The earlier detection of dementia is needed as cases increase yearly in the aging populations of Taiwan and the world. In recent years, the global internet usage rate has gradually increased among older people. To expand dementia screening and provide timely medical intervention, a simple self-administrated assessment tool to assist in easily screening for dementia is needed. OBJECTIVE The two-part goal of this pilot study was, first, to develop a Game-Based Cognitive Assessment (GBCA) tool, and then, to evaluate its validity at early screening for patients with cognitive impairment. METHOD The researchers recruited 67 patients with neurocognitive disorders (NCDs) and 57 healthy controls (HCs). Each participant underwent the GBCA and other clinical cognitive assessments (CDR, CASI, and MMSE), and filled out a questionnaire evaluating their experience of using the GBCA. Statistical analyses were used to measure the validity of the GBCA at screening for degenerative dementia. RESULTS The average GBCA scores of the HC and NCD groups were 87 (SD = 7.9) and 52 (SD = 21.7), respectively. The GBCA correlated well with the CASI (r2 = 0.90, p < 0.001) and with the MMSE (r2 = 0.92, p < 0.001), indicating concurrent validity. The GBCA cut-off of 75/76 corresponded to measurements of sensitivity, specificity, and area under curve of 85.1%, 91.5%, and 0.978, respectively. The positive predictive value was 91.9%, and the negative predictive value was 84.4%. The results of the user-experience questionnaire for the HC and NCD groups were good and acceptable, respectively. CONCLUSION The GBCA is an effective and acceptable tool for screening for degenerative dementia.
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Affiliation(s)
- Carol Sheei-Meei Wang
- Department of BioMedical Engineering, National Cheng Kung University, Tainan City, Taiwan.,Department of Psychiatry, Tainan Hospital, Ministry of Health and Welfare, Tainan City, Taiwan.,Department of Psychiatry, National Cheng Kung University Hospital, Tainan City, Taiwan
| | - Jia-Yun Wu
- Department of BioMedical Engineering, National Cheng Kung University, Tainan City, Taiwan
| | - Wen-Tzu Hsu
- Department of BioMedical Engineering, National Cheng Kung University, Tainan City, Taiwan
| | - Pei-Fang Chien
- Department of Psychiatry, Tainan Hospital, Ministry of Health and Welfare, Tainan City, Taiwan
| | | | - Ying-Che Huang
- Department of Neurology, Tainan Hospital, Ministry of Health and Welfare, Tainan City, Taiwan
| | - Kuo-Sheng Cheng
- Department of BioMedical Engineering, National Cheng Kung University, Tainan City, Taiwan
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49
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Ye S, Sun K, Huynh D, Phi HQ, Ko B, Huang B, Hosseini Ghomi R. Validation of a Computerized Cognitive Test Battery for Detection of Dementia and Mild Cognitive Impairment (Preprint). JMIR Aging 2022; 5:e36825. [PMID: 35436212 PMCID: PMC9055476 DOI: 10.2196/36825] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 03/02/2022] [Accepted: 03/14/2022] [Indexed: 01/19/2023] Open
Abstract
Background Early detection of dementia is critical for intervention and care planning but remains difficult. Computerized cognitive testing provides an accessible and promising solution to address these current challenges. Objective The aim of this study was to evaluate a computerized cognitive testing battery (BrainCheck) for its diagnostic accuracy and ability to distinguish the severity of cognitive impairment. Methods A total of 99 participants diagnosed with dementia, mild cognitive impairment (MCI), or normal cognition (NC) completed the BrainCheck battery. Statistical analyses compared participant performances on BrainCheck based on their diagnostic group. Results BrainCheck battery performance showed significant differences between the NC, MCI, and dementia groups, achieving 88% or higher sensitivity and specificity (ie, true positive and true negative rates) for separating dementia from NC, and 77% or higher sensitivity and specificity in separating the MCI group from the NC and dementia groups. Three-group classification found true positive rates of 80% or higher for the NC and dementia groups and true positive rates of 64% or higher for the MCI group. Conclusions BrainCheck was able to distinguish between diagnoses of dementia, MCI, and NC, providing a potentially reliable tool for early detection of cognitive impairment.
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Affiliation(s)
- Siao Ye
- Department of Biosciences, Rice University, Houston, TX, United States
| | - Kevin Sun
- BrainCheck, Inc, Houston, TX, United States
| | | | - Huy Q Phi
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Brian Ko
- Department of Medicine, University of Washington School of Medicine, Seattle, WA, United States
| | - Bin Huang
- BrainCheck, Inc, Houston, TX, United States
| | - Reza Hosseini Ghomi
- BrainCheck, Inc, Houston, TX, United States
- Department of Neurology, University of Washington School of Medicine, Seattle, WA, United States
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50
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A Novel deep neural network-based emotion analysis system for automatic detection of mild cognitive impairment in the elderly. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2021.10.038] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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