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Kautto A, Railo H, Mainela-Arnold E. Introducing the Intra-Individual Variability Hypothesis in Explaining Individual Differences in Language Development. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2024:1-10. [PMID: 38913843 DOI: 10.1044/2024_jslhr-23-00527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
PURPOSE Response times (RTs) are commonly used in studying language acquisition. However, previous research utilizing RT in the context of language has largely overlooked the intra-individual variability (IIV) of RTs, which could hold significant information about the processes underlying language acquisition. METHOD We explored the association between language abilities and RT variability in visuomotor tasks using two data sets from previously published studies. The participants were 7- to 10-year-old children (n = 77). RESULTS Our results suggest that increased variability in RTs is associated with weaker language abilities. Specifically, this within-participant variability in visuomotor RTs, especially the proportion of unusually slow responses, predicted language abilities better than mean RTs, a factor often linked to language skills in past research. CONCLUSIONS Based on our findings, we introduce the IIV hypothesis in explaining individual differences in language development. According to our hypothesis, inconsistency in the timing of cognitive processes, reflected by increased IIV in RTs, degrades learning different aspects of language, and results in individual differences in language abilities. Future studies should further examine the relationship between IIV and language abilities, and test the extent to which the possible relationship is causal.
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Affiliation(s)
- Anna Kautto
- Department of Psychology and Speech-Language Pathology, University of Turku, Finland
- Department of Speech and Language Pathology, Åbo Akademi University, Turku, Finland
| | - Henry Railo
- Department of Psychology and Speech-Language Pathology, University of Turku, Finland
| | - Elina Mainela-Arnold
- Department of Psychology and Speech-Language Pathology, University of Turku, Finland
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da Silva Castanheira J, Wiesman AI, Hansen JY, Misic B, Baillet S. The neurophysiological brain-fingerprint of Parkinson's disease. EBioMedicine 2024; 105:105201. [PMID: 38908100 DOI: 10.1016/j.ebiom.2024.105201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 05/30/2024] [Accepted: 05/30/2024] [Indexed: 06/24/2024] Open
Abstract
BACKGROUND Research in healthy young adults shows that characteristic patterns of brain activity define individual "brain-fingerprints" that are unique to each person. However, variability in these brain-fingerprints increases in individuals with neurological conditions, challenging the clinical relevance and potential impact of the approach. Our study shows that brain-fingerprints derived from neurophysiological brain activity are associated with pathophysiological and clinical traits of individual patients with Parkinson's disease (PD). METHODS We created brain-fingerprints from task-free brain activity recorded through magnetoencephalography in 79 PD patients and compared them with those from two independent samples of age-matched healthy controls (N = 424 total). We decomposed brain activity into arrhythmic and rhythmic components, defining distinct brain-fingerprints for each type from recording durations of up to 4 min and as short as 30 s. FINDINGS The arrhythmic spectral components of cortical activity in patients with Parkinson's disease are more variable over short periods, challenging the definition of a reliable brain-fingerprint. However, by isolating the rhythmic components of cortical activity, we derived brain-fingerprints that distinguished between patients and healthy controls with about 90% accuracy. The most prominent cortical features of the resulting Parkinson's brain-fingerprint are mapped to polyrhythmic activity in unimodal sensorimotor regions. Leveraging these features, we also demonstrate that Parkinson's symptom laterality can be decoded directly from cortical neurophysiological activity. Furthermore, our study reveals that the cortical topography of the Parkinson's brain-fingerprint aligns with that of neurotransmitter systems affected by the disease's pathophysiology. INTERPRETATION The increased moment-to-moment variability of arrhythmic brain-fingerprints challenges patient differentiation and explains previously published results. We outline patient-specific rhythmic brain signaling features that provide insights into both the neurophysiological signature and symptom laterality of Parkinson's disease. Thus, the proposed definition of a rhythmic brain-fingerprint of Parkinson's disease may contribute to novel, refined approaches to patient stratification. Symmetrically, we discuss how rhythmic brain-fingerprints may contribute to the improved identification and testing of therapeutic neurostimulation targets. FUNDING Data collection and sharing for this project was provided by the Quebec Parkinson Network (QPN), the Pre-symptomatic Evaluation of Novel or Experimental Treatments for Alzheimer's Disease (PREVENT-AD; release 6.0) program, the Cambridge Centre for Aging Neuroscience (Cam-CAN), and the Open MEG Archives (OMEGA). The QPN is funded by a grant from Fonds de Recherche du Québec - Santé (FRQS). PREVENT-AD was launched in 2011 as a $13.5 million, 7-year public-private partnership using funds provided by McGill University, the FRQS, an unrestricted research grant from Pfizer Canada, the Levesque Foundation, the Douglas Hospital Research Centre and Foundation, the Government of Canada, and the Canada Fund for Innovation. The Brainstorm project is supported by funding to SB from the NIH (R01-EB026299-05). Further funding to SB for this study included a Discovery grant from the Natural Sciences and Engineering Research Council of Canada of Canada (436355-13), and the CIHR Canada research Chair in Neural Dynamics of Brain Systems (CRC-2017-00311).
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Affiliation(s)
| | - Alex I Wiesman
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Justine Y Hansen
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Bratislav Misic
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Sylvain Baillet
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
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Caballero HS, McFall GP, Gee M, MacDonald S, Phillips NA, Fogarty J, Montero-Odasso M, Camicioli R, Dixon RA. Cognitive Speed in Neurodegenerative Disease: Comparing Mean Rate and Inconsistency Within and Across the Alzheimer's and Lewy Body Spectra in the COMPASS-ND Study. J Alzheimers Dis 2024:JAD240210. [PMID: 38875040 DOI: 10.3233/jad-240210] [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: 06/16/2024]
Abstract
Background Alzheimer's disease (AD) and Lewy body disease (LBD) are characterized by early and gradual worsening perturbations in speeded cognitive responses. Objective Using simple and choice reaction time tasks, we compared two indicators of cognitive speed within and across the AD and LBD spectra: mean rate (average reaction time across trials) and inconsistency (within person variability). Methods The AD spectrum cohorts included subjective cognitive impairment (SCI, n = 28), mild cognitive impairment (MCI, n = 121), and AD (n = 45) participants. The LBD spectrum included Parkinson's disease (PD, n = 32), mild cognitive impairment in PD (PD-MCI, n = 21), and LBD (n = 18) participants. A cognitively unimpaired (CU, n = 39) cohort served as common benchmark. We conducted multivariate analyses of variance and discrimination analyses. Results Within the AD spectrum, the AD cohort was slower and more inconsistent than the CU, SCI, and MCI cohorts. The MCI cohort was slower than the CU cohort. Within the LBD spectrum, the LBD cohort was slower and more inconsistent than the CU, PD, and PD-MCI cohorts. The PD-MCI cohort was slower than the CU and PD cohorts. In cross-spectra (corresponding cohort) comparisons, the LBD cohort was slower and more inconsistent than the AD cohort. The PD-MCI cohort was slower than the MCI cohort. Discrimination analyses clarified the group difference patterns. Conclusions For both speed tasks, mean rate and inconsistency demonstrated similar sensitivity to spectra-related comparisons. Both dementia cohorts were slower and more inconsistent than each of their respective non-dementia cohorts.
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Affiliation(s)
- H Sebastian Caballero
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
| | - G Peggy McFall
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
- Department of Psychology, University of Alberta, Edmonton, AB, Canada
| | - Myrlene Gee
- Department of Medicine (Neurology), University of Alberta, Edmonton, AB, Canada
| | - Stuart MacDonald
- Department of Psychology, University of Victoria, Victoria, BC, Canada
| | | | | | | | - Richard Camicioli
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
- Department of Medicine (Neurology), University of Alberta, Edmonton, AB, Canada
| | - Roger A Dixon
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
- Department of Psychology, University of Alberta, Edmonton, AB, Canada
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Wyman-Chick KA, Chaudhury P, Bayram E, Abdelnour C, Matar E, Chiu SY, Ferreira D, Hamilton CA, Donaghy PC, Rodriguez-Porcel F, Toledo JB, Habich A, Barrett MJ, Patel B, Jaramillo-Jimenez A, Scott GD, Kane JPM. Differentiating Prodromal Dementia with Lewy Bodies from Prodromal Alzheimer's Disease: A Pragmatic Review for Clinicians. Neurol Ther 2024; 13:885-906. [PMID: 38720013 PMCID: PMC11136939 DOI: 10.1007/s40120-024-00620-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 04/05/2024] [Indexed: 05/12/2024] Open
Abstract
This pragmatic review synthesises the current understanding of prodromal dementia with Lewy bodies (pDLB) and prodromal Alzheimer's disease (pAD), including clinical presentations, neuropsychological profiles, neuropsychiatric symptoms, biomarkers, and indications for disease management. The core clinical features of dementia with Lewy bodies (DLB)-parkinsonism, complex visual hallucinations, cognitive fluctuations, and REM sleep behaviour disorder are common prodromal symptoms. Supportive clinical features of pDLB include severe neuroleptic sensitivity, as well as autonomic and neuropsychiatric symptoms. The neuropsychological profile in mild cognitive impairment attributable to Lewy body pathology (MCI-LB) tends to include impairment in visuospatial skills and executive functioning, distinguishing it from MCI due to AD, which typically presents with impairment in memory. pDLB may present with cognitive impairment, psychiatric symptoms, and/or recurrent episodes of delirium, indicating that it is not necessarily synonymous with MCI-LB. Imaging, fluid and other biomarkers may play a crucial role in differentiating pDLB from pAD. The current MCI-LB criteria recognise low dopamine transporter uptake using positron emission tomography or single photon emission computed tomography (SPECT), loss of REM atonia on polysomnography, and sympathetic cardiac denervation using meta-iodobenzylguanidine SPECT as indicative biomarkers with slowing of dominant frequency on EEG among others as supportive biomarkers. This review also highlights the emergence of fluid and skin-based biomarkers. There is little research evidence for the treatment of pDLB, but pharmacological and non-pharmacological treatments for DLB may be discussed with patients. Non-pharmacological interventions such as diet, exercise, and cognitive stimulation may provide benefit, while evaluation and management of contributing factors like medications and sleep disturbances are vital. There is a need to expand research across diverse patient populations to address existing disparities in clinical trial participation. In conclusion, an early and accurate diagnosis of pDLB or pAD presents an opportunity for tailored interventions, improved healthcare outcomes, and enhanced quality of life for patients and care partners.
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Affiliation(s)
- Kathryn A Wyman-Chick
- Struthers Parkinson's Center and Center for Memory and Aging, Department of Neurology, HealthPartners/Park Nicollet, Bloomington, USA.
| | - Parichita Chaudhury
- Cleo Roberts Memory and Movement Center, Banner Sun Health Research Institute, Sun City, USA
| | - Ece Bayram
- Parkinson and Other Movement Disorders Center, University of California San Diego, San Diego, USA
| | - Carla Abdelnour
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Palo Alto, USA
| | - Elie Matar
- Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Shannon Y Chiu
- Department of Neurology, Mayo Clinic Arizona, Phoenix, USA
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institute, Solna, Sweden
- Department of Radiology, Mayo Clinic Rochester, Rochester, USA
- Facultad de Ciencias de la Salud, Universidad Fernando Pessoa Canarias, Las Palmas, Spain
| | - Calum A Hamilton
- Translational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Paul C Donaghy
- Translational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK
| | | | - Jon B Toledo
- Nantz National Alzheimer Center, Stanley Appel Department of Neurology, Houston Methodist Hospital, Houston, USA
| | - Annegret Habich
- Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institute, Solna, Sweden
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Matthew J Barrett
- Department of Neurology, Parkinson's and Movement Disorders Center, Virginia Commonwealth University, Richmond, USA
| | - Bhavana Patel
- Department of Neurology, College of Medicine, University of Florida, Gainesville, USA
- Norman Fixel Institute for Neurologic Diseases, University of Florida, Gainesville, USA
| | - Alberto Jaramillo-Jimenez
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
- School of Medicine, Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellín, Colombia
| | - Gregory D Scott
- Department of Pathology and Laboratory Services, VA Portland Medical Center, Portland, USA
| | - Joseph P M Kane
- Centre for Public Health, Queen's University Belfast, Belfast, UK
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Jung D, Jin G, Choi J, Park S, Park K, Seo DG, Choi KH. Daily vitality fluctuations in older adults with depressive symptoms: A multilevel location-scale model. J Psychiatr Res 2024; 173:80-86. [PMID: 38513369 DOI: 10.1016/j.jpsychires.2024.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 02/06/2024] [Accepted: 03/04/2024] [Indexed: 03/23/2024]
Abstract
BACKGROUND Examining the daily experiences of older adults with depression facilitates the development and application of personalized effective treatments for them. In previous clinical research on depression, traditional mean-based approaches have mainly been employed. However, the within-person residual variance as a random effect provides greater insight into the heterogeneity of daily experiences among geriatric samples. OBJECTIVE This study aimed to examine the relationship between depression and daily vitality in older adults. Specifically, it focused on the mean and residual variance of daily vitality measured by the Ecological Momentary Assessment (EMA). METHODS Data from 64 older adults aged 65 years or more, who participated in community welfare centers or retirees' associations, were used. Daily vitality was examined using EMA surveys for seven consecutive days (four random surveys per day). The data were analyzed using a location-scale model. RESULTS The intraclass correlation computed from the empty model for the EMA data was 0.488, indicating significant variances in daily vitality across time between individuals. Older adults with higher levels of depressive symptoms showed low mean levels of daily vitality and a large log-residual variance of daily vitality. CONCLUSIONS The findings from the current study suggest that individuals experiencing depression not only exhibit low vitality in their daily lives but also struggle to maintain stable levels of vitality in their lives. These insights could contribute to the facilitation and advancement of personalized interventions tailored for older adults.
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Affiliation(s)
- Dawoon Jung
- Department of Psychology, Korea University, Seoul, 02841, Republic of Korea
| | - Gihun Jin
- Department of Psychology, Hallym University, Chuncheon, 24252, Republic of Korea
| | - Juhee Choi
- Department of Psychology, Korea University, Seoul, 02841, Republic of Korea
| | - Soohyun Park
- Department of Psychology, Korea University, Seoul, 02841, Republic of Korea
| | - Kiho Park
- Department of Psychology, Korea University, Seoul, 02841, Republic of Korea
| | - Dong Gi Seo
- Department of Psychology, Hallym University, Chuncheon, 24252, Republic of Korea.
| | - Kee-Hong Choi
- Department of Psychology, Korea University, Seoul, 02841, Republic of Korea; KU Mind Health Institute, Korea University, Seoul, 02841, Republic of Korea; Mindeep Cognitive Behavioral Therapy Center, Seoul, 06749, Republic of Korea.
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Kiselica AM, Kaser AN, Weitzner DS, Mikula CM, Boone A, Woods SP, Wolf TJ, Webber TA. Development and Validity of Norms for Cognitive Dispersion on the Uniform Data Set 3.0 Neuropsychological Battery. Arch Clin Neuropsychol 2024:acae005. [PMID: 38364295 DOI: 10.1093/arclin/acae005] [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: 05/16/2023] [Revised: 11/14/2023] [Accepted: 12/15/2023] [Indexed: 02/18/2024] Open
Abstract
OBJECTIVE Cognitive dispersion indexes intraindividual variability in performance across a battery of neuropsychological tests. Measures of dispersion show promise as markers of cognitive dyscontrol and everyday functioning difficulties; however, they have limited practical applicability due to a lack of normative data. This study aimed to develop and evaluate normed scores for cognitive dispersion among older adults. METHOD We analyzed data from 4,283 cognitively normal participants aged ≥50 years from the Uniform Data Set (UDS) 3.0. We describe methods for calculating intraindividual standard deviation (ISD) and coefficient of variation (CoV), as well as associated unadjusted scaled scores and demographically adjusted z-scores. We also examined the ability of ISD and CoV scores to differentiate between cognitively normal individuals (n = 4,283) and those with cognitive impairment due to Lewy body disease (n = 282). RESULTS We generated normative tables to map raw ISD and CoV scores onto a normal distribution of scaled scores. Cognitive dispersion indices were associated with age, education, and race/ethnicity but not sex. Regression equations were used to develop a freely accessible Excel calculator for deriving demographically adjusted normed scores for ISD and CoV. All measures of dispersion demonstrated excellent diagnostic utility when evaluated by the area under the curve produced from receiver operating characteristic curves. CONCLUSIONS Results of this study provide evidence for the clinical utility of sample-based and demographically adjusted normative standards for cognitive dispersion on the UDS 3.0. These standards can be used to guide interpretation of intraindividual variability among older adults in clinical and research settings.
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Affiliation(s)
- Andrew M Kiselica
- Department of Health Psychology, University of Missouri, Columbia, MO, USA
| | - Alyssa N Kaser
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Cynthia M Mikula
- Institute of Human Nutrition, Columbia University, New York, NY, USA
| | - Anna Boone
- Department of Occupational Therapy, University of Missouri, Columbia, MO, USA
| | | | - Timothy J Wolf
- Department of Occupational Therapy, University of Missouri, Columbia, MO, USA
| | - Troy A Webber
- Mental Health Care Line, Michael E. DeBakey VA Medical Center, Houston, TX, USA
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
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Ross D, Wagshul ME, Izzetoglu M, Holtzer R. Cortical thickness moderates intraindividual variability in prefrontal cortex activation patterns of older adults during walking. J Int Neuropsychol Soc 2024; 30:117-127. [PMID: 37366047 PMCID: PMC10751394 DOI: 10.1017/s1355617723000371] [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: 06/28/2023]
Abstract
OBJECTIVE Increased intraindividual variability (IIV) in behavioral and cognitive performance is a risk factor for adverse outcomes but research concerning hemodynamic signal IIV is limited. Cortical thinning occurs during aging and is associated with cognitive decline. Dual-task walking (DTW) performance in older adults has been related to cognition and neural integrity. We examined the hypothesis that reduced cortical thickness would be associated with greater increases in IIV in prefrontal cortex oxygenated hemoglobin (HbO2) from single tasks to DTW in healthy older adults while adjusting for behavioral performance. METHOD Participants were 55 healthy community-dwelling older adults (mean age = 74.84, standard deviation (SD) = 4.97). Structural MRI was used to quantify cortical thickness. Functional near-infrared spectroscopy (fNIRS) was used to assess changes in prefrontal cortex HbO2 during walking. HbO2 IIV was operationalized as the SD of HbO2 observations assessed during the first 30 seconds of each task. Linear mixed models were used to examine the moderation effect of cortical thickness throughout the cortex on HbO2 IIV across task conditions. RESULTS Analyses revealed that thinner cortex in several regions was associated with greater increases in HbO2 IIV from the single tasks to DTW (ps < .02). CONCLUSIONS Consistent with neural inefficiency, reduced cortical thickness in the PFC and throughout the cerebral cortex was associated with increases in HbO2 IIV from the single tasks to DTW without behavioral benefit. Reduced cortical thickness and greater IIV of prefrontal cortex HbO2 during DTW may be further investigated as risk factors for developing mobility impairments in aging.
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Affiliation(s)
- Daliah Ross
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, USA
| | - Mark E. Wagshul
- Department of Radiology, Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Meltem Izzetoglu
- Department of Electrical and Computer Engineering, Villanova University, Villanova, PA, USA
| | - Roee Holtzer
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, USA
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
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De Vito AN, Ju CH, Lee SY, Cohen AK, Trofimova AD, Liu Y, Eichten A, Hughes A. Cognitive dispersion is related to subtle objective daily functioning changes in older adults with and without cognitive impairment. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12539. [PMID: 38312515 PMCID: PMC10835082 DOI: 10.1002/dad2.12539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 12/04/2023] [Accepted: 01/02/2024] [Indexed: 02/06/2024]
Abstract
Early detection of cognitive and functional decline is difficult given that current tools are insensitive to subtle changes. The present study evaluated whether cognitive dispersion on neuropsychological testing improved prediction of objectively assessed daily functioning using unobtrusive monitoring technologies. Hierarchical linear regression was used to evaluate whether cognitive dispersion added incremental information beyond mean neuropsychological performance in the prediction of objectively assessed IADLs (i.e., computer use, pillbox use, driving) in a sample of 104 community-dwelling older adults without dementia (Mage = 74.59, 38.5% Female, 90.4% White). Adjusting for age, sex, education, and mean global cognitive performance, cognitive dispersion improved prediction of average daily computer use duration (R2 Δ = 0.100, F Change, p = 0.005), computer use duration variability (R2 Δ = 0.089, F Change p = 0.009), and average daily duration of nighttime driving (R2 Δ = 0.072, F Change p = 0.013). These results suggest cognitive dispersion may improve prediction of objectively assessed functional changes in older adults without dementia.
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Affiliation(s)
- Alyssa N. De Vito
- Department of Psychiatry and Human BehaviorWarren Alpert Medical School of Brown UniversityProvidenceRhode IslandUSA
- Memory and Aging ProgramButler HospitalProvidenceRhode IslandUSA
| | - Catherine H. Ju
- Department of PsychologyWest Virginia UniversityMorgantownWest VirginiaUSA
| | - Samuel Y. Lee
- Masonic Cancer CenterUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Anael Kuperwajs Cohen
- Masonic Cancer CenterUniversity of MinnesotaMinneapolisMinnesotaUSA
- Department of Psychiatry and Behavioral SciencesSchool of MedicineUniversity of Minnesota Twin CitiesMinneapolisMinnesotaUSA
- Minneapolis VA Healthcare SystemMinneapolisMinnesotaUSA
| | - Alexandra D. Trofimova
- Masonic Cancer CenterUniversity of MinnesotaMinneapolisMinnesotaUSA
- Department of Psychiatry and Behavioral SciencesSchool of MedicineUniversity of Minnesota Twin CitiesMinneapolisMinnesotaUSA
- Minneapolis VA Healthcare SystemMinneapolisMinnesotaUSA
| | - Yan Liu
- School of Public HealthOregon Health & Science University‐Portland State UniversityPortlandOregonUSA
| | - Alyssa Eichten
- Masonic Cancer CenterUniversity of MinnesotaMinneapolisMinnesotaUSA
- Department of Psychiatry and Behavioral SciencesSchool of MedicineUniversity of Minnesota Twin CitiesMinneapolisMinnesotaUSA
- Minneapolis VA Healthcare SystemMinneapolisMinnesotaUSA
| | - Adriana Hughes
- Masonic Cancer CenterUniversity of MinnesotaMinneapolisMinnesotaUSA
- Department of Psychiatry and Behavioral SciencesSchool of MedicineUniversity of Minnesota Twin CitiesMinneapolisMinnesotaUSA
- Minneapolis VA Healthcare SystemMinneapolisMinnesotaUSA
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Webber TA, Lorkiewicz SA, Kiselica AM, Woods SP. Ecological validity of cognitive fluctuations in dementia with Lewy bodies. J Int Neuropsychol Soc 2024; 30:35-46. [PMID: 37057867 PMCID: PMC10576013 DOI: 10.1017/s1355617723000255] [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: 04/15/2023]
Abstract
OBJECTIVES Cognitive fluctuations are a core clinical feature of dementia with Lewy bodies (DLB), but their contribution to the everyday functioning difficulties evident DLB are not well understood. The current study evaluated whether intraindividual variability across a battery of neurocognitive tests (intraindividual variability-dispersion) and daily cognitive fluctuations as measured by informant report are associated with worse daily functioning in DLB. METHODS The study sample included 97 participants with consensus-defined DLB from the National Alzheimer's Coordinating Center (NACC). Intraindividual variability-dispersion was measured using the coefficient of variation, which divides the standard deviation of an individual's performance scores across 12 normed neurocognitive indices from the NACC neuropsychological battery by that individual's performance mean. Informants reported on daily cognitive fluctuations using the Mayo Fluctuations Scale (MFS) and on daily functioning using the functional activities questionnaire (FAQ). RESULTS Logistic regression identified a large univariate association of intraindividual variability-dispersion and presence of daily cognitive fluctuations on the MFS (Odds Ratio = 73.27, 95% Confidence Interval = 1.38, 3,895.05). Multiple linear regression demonstrated that higher intraindividual variability-dispersion and presence of daily cognitive fluctuations as assessed by the MFS were significantly and independently related to worse daily functioning (FAQ scores). CONCLUSIONS Among those with DLB, informant-rated daily cognitive fluctuations and cognitive fluctuations measured in the clinic (as indexed by intraindividual variability-dispersion across a battery of tests) were independently associated with poorer everyday functioning. These data demonstrate ecological validity in measures of cognitive fluctuations in DLB.
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Affiliation(s)
- Troy A. Webber
- Mental Health Care Line, Michael E. DeBakey VA Medical Center, Houston, TX, USA
- Department of Psychiatry/Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Sara A. Lorkiewicz
- Mental Health Care Line, Michael E. DeBakey VA Medical Center, Houston, TX, USA
| | | | - Steven P. Woods
- Department of Psychology, University of Houston, Houston, TX, USA
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da Silva Castanheira J, Wiesman AI, Hansen JY, Misic B, Baillet S. The neurophysiological brain-fingerprint of Parkinson's disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.02.03.23285441. [PMID: 36798232 PMCID: PMC9934726 DOI: 10.1101/2023.02.03.23285441] [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] [Indexed: 02/10/2023]
Abstract
In this study, we investigate the clinical potential of brain-fingerprints derived from electrophysiological brain activity for diagnostics and progression monitoring of Parkinson's disease (PD). We obtained brain-fingerprints from PD patients and age-matched healthy controls using short, task-free magnetoencephalographic recordings. The rhythmic components of the individual brain-fingerprint distinguished between patients and healthy participants with approximately 90% accuracy. The most prominent cortical features of the Parkinson's brain-fingerprint mapped to polyrhythmic activity in unimodal sensorimotor regions. Leveraging these features, we also show that Parkinson's disease stages can be decoded directly from cortical neurophysiological activity. Additionally, our study reveals that the cortical topography of the Parkinson's brain-fingerprint aligns with that of neurotransmitter systems affected by the disease's pathophysiology. We further demonstrate that the arrhythmic components of cortical activity are more variable over short periods of time in patients with Parkinson's disease than in healthy controls, making individual differentiation between patients based on these features more challenging and explaining previous negative published results. Overall, we outline patient-specific rhythmic brain signaling features that provide insights into both the neurophysiological signature and clinical staging of Parkinson's disease. For this reason, the proposed definition of a rhythmic brain-fingerprint of Parkinson's disease may contribute to novel, refined approaches to patient stratification and to the improved identification and testing of therapeutic neurostimulation targets.
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Affiliation(s)
| | - Alex I. Wiesman
- Montreal Neurological Institute, McGill University, Montreal QC, Canada
| | - Justine Y. Hansen
- Montreal Neurological Institute, McGill University, Montreal QC, Canada
| | - Bratislav Misic
- Montreal Neurological Institute, McGill University, Montreal QC, Canada
| | - Sylvain Baillet
- Montreal Neurological Institute, McGill University, Montreal QC, Canada
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Wilkerson GB, Lansey JC, Noblett CN, Sarris CE. Test-Retest Reliability of Immersive Virtual Reality Measures of Perceptual-Motor Performance. Percept Mot Skills 2023; 130:2484-2504. [PMID: 37776022 DOI: 10.1177/00315125231205322] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/01/2023]
Abstract
The duration, accuracy, and consistency of responses to various types of stimuli are widely accepted as indirect indicators of the efficiency of brain information processing, but current clinical tests appear to lack sufficient sensitivity to detect subtle impairments. Immersive virtual reality (VR) offers a new means to acquire measures of perceptual-motor responses to moving visual stimuli that require rapid conflict resolution, but their test-retest reliability has not yet been demonstrated. Repeated measures. We analyzed data from 19 healthy young adults who performed a 40-trial VR test on three consecutive days. We focused on response time (RT) and perceptual latency (PL) for eye, neck, arm, and whole-body step displacements involved in executing a reaching/lunging movement in a right or left direction toward a peripherally located virtual target. Measures of RT and PL included a 40-trial mean, an intra-individual variability (IIV) value, and a rate correct score (RCS) that incorporated both response duration and accuracy. Most mean and IIV values for PL and RT demonstrated a positive distributional skew that was substantially reduced by natural logarithm transformation. While a learning effect was evident between sessions 1 and 2 for 7 of 8 mean PL and RT measures, 3-session intraclass correlation coefficient (ICC) values were moderate to excellent for 15 of 16 transformed PL and RT measures (range: .618 to .922). The composite RCS metric did not require transformation for either PL or RT, whose respective 3-session ICC values were .877 and .851. This moderate to excellent test-retest reliability for various VR measures of perceptual-motor function, combined with evidence of their validity from both past and future research, suggest that these measures can advance clinical detection of impaired brain processing and longitudinal assessments of potentially modifiable performance deficiencies.
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Affiliation(s)
- Gary B Wilkerson
- Graduate Athletic Training Program, University of Tennessee at Chattanooga, Chattanooga, TN, USA
| | | | - Courtney N Noblett
- Graduate Athletic Training Program, University of Tennessee at Chattanooga, Chattanooga, TN, USA
| | - Caroline E Sarris
- Graduate Athletic Training Program, University of Tennessee at Chattanooga, Chattanooga, TN, USA
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12
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Grewal KS, O'Connell ME, Kirk A, MacDonald SWS, Morgan D. Intraindividual variability measured with dispersion across diagnostic groups in a memory clinic sample. APPLIED NEUROPSYCHOLOGY. ADULT 2023; 30:639-648. [PMID: 34455884 DOI: 10.1080/23279095.2021.1970552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Increased intraindividual variability (IIV) has been linked to outcomes such as cognitive decline and dementia, suggesting IIV might add valuable diagnostic information beyond traditional neuropsychological interpretation. We explored whether a subtype of IIV, dispersion, can provide additional information for dementia diagnosis. In a sample of memory clinic patients, three cognitive status groups were identified: subjective cognitive impairment (SCI; n = 85), amnestic mild cognitive impairment (a-MCI; n = 16), and dementia due to Alzheimer's disease (AD; n = 48). Dispersion was computed as intraindividual standard deviations across multiple neuropsychological measures within three cognitive domains (executive functioning; immediate and delayed memory) and was compared for each diagnostic group using profile analysis. Patients with AD and a-MCI demonstrated less dispersion than patients with SCI in delayed memory. Results support existing theoretic perspectives on cognitive variability and age-related cognitive decline but suggest floor effects underlie suppression of dispersion in amnestic cognitive presentations. Questions remain about the contribution of IIV beyond impressions of impairment versus no impairment in these constrained representations of cognitive domains. Future investigations should investigate variability in SCI groups against controls to examine whether observed dispersion similarities between SCI and a-MCI or AD in immediate memory and executive functioning are meaningful.
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Affiliation(s)
- Karl S Grewal
- Department of Psychology, University of Saskatchewan, Saskatoon, Canada
| | - Megan E O'Connell
- Department of Psychology, University of Saskatchewan, Saskatoon, Canada
| | - Andrew Kirk
- Division of Neurology, Department of Medicine, University of Saskatchewan, Saskatoon, Canada
| | | | - Debra Morgan
- Canadian Centre for Health and Safety in Agriculture, University of Saskatchewan, Saskatoon, Canada
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13
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Lovett R, Bonham M, Yoshino Benavente J, Hosseinian Z, Byrne GJ, Varela Diaz M, Bass M, Yao L, Adin-Cristian A, Batio S, Kim M, Sluis A, Moran M, Buchanan DR, Hunt J, Young SR, Gershon R, Nowinski C, Wolf M. Primary care detection of cognitive impairment leveraging health and consumer technologies in underserved US communities: protocol for a pragmatic randomised controlled trial of the MyCog paradigm. BMJ Open 2023; 13:e080101. [PMID: 37852774 PMCID: PMC10603543 DOI: 10.1136/bmjopen-2023-080101] [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] [Received: 09/22/2023] [Accepted: 09/29/2023] [Indexed: 10/20/2023] Open
Abstract
INTRODUCTION Early identification of cognitive impairment (CI), including Alzheimer's disease and related dementias (ADRD), is a top public health priority. Yet, CI/ADRD is often undetected and underdiagnosed within primary care settings, and in health disparate populations. The MyCog paradigm is an iPad-based, self-administered, validated cognitive assessment based on the National Institutes of Health (NIH) Toolbox Cognition Battery and coupled with clinician decision-support tools that is specifically tailored for CI/ADRD detection within diverse, primary care settings. METHODS AND ANALYSIS We will conduct a two-arm, primary care practice-randomised (N=24 practices; 45 257 active patients at the proposed practices), pragmatic trial among geographically diverse Oak Street Health sites to test the effectiveness of the MyCog paradigm to improve early detection CI/ADRD among low socioeconomic, black and Hispanic older adults compared with usual care. Participating practices randomised to the intervention arm will impart the MyCog paradigm as a new standard of care over a 3-year implementation period; as the cognitive component for Annual Wellness Visits and for any patient/informant-reported or healthcare provider-suspected cognitive concern. Rates of detected (cognitive test suggesting impairment) and/or diagnosed (relevant International Classification of Diseases-9/10 [ICD-9/10] code) cognitive deficits, impairments or dementias including ADRD will be our primary outcome of study compared between arms. Secondary outcomes will include ADRD severity (ie, mild or later stage), rates of cognitive-related referrals and rates of family member or caregiver involvement in ADRD care planning. We will use generalised linear mixed models to account for clustered study design. Secondary models will adjust for subject, clinic or visit-specific characteristics. We will use mixed-methods approaches to examine fidelity and cost-effectiveness of the MyCog paradigm. ETHICS AND DISSEMINATION The Institutional Review Board at Advarra has approved the study protocol (Pro00064339). Results will be published in peer-reviewed journals and summaries will be provided to the funders of the study. TRIAL REGISTRATION NUMBER NCT05607732.
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Affiliation(s)
- Rebecca Lovett
- General Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Center for Applied Research on Aging, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Morgan Bonham
- General Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Center for Applied Research on Aging, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Julia Yoshino Benavente
- General Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Center for Applied Research on Aging, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Zahra Hosseinian
- Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Greg J Byrne
- Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Maria Varela Diaz
- Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Michael Bass
- Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Lihua Yao
- Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Andrei Adin-Cristian
- Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Stephanie Batio
- General Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Center for Applied Research on Aging, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Minjee Kim
- Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | | | | | | | - Justin Hunt
- Oak Street Health LLC, Chicago, Illinois, USA
| | - Stephanie R Young
- Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Richard Gershon
- Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Cindy Nowinski
- Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Michael Wolf
- General Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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14
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Brancaccio A, de Chiusole D, Stefanutti L. Algorithms for the adaptive assessment of procedural knowledge and skills. Behav Res Methods 2023; 55:3929-3951. [PMID: 36526887 PMCID: PMC10616228 DOI: 10.3758/s13428-022-01998-y] [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] [Accepted: 10/01/2022] [Indexed: 12/23/2022]
Abstract
Procedural knowledge space theory (PKST) was recently proposed by Stefanutti (British Journal of Mathematical and Statistical Psychology, 72(2) 185-218, 2019) for the assessment of human problem-solving skills. In PKST, the problem space formally represents how a family of problems can be solved and the knowledge space represents the skills required for solving those problems. The Markov solution process model (MSPM) by Stefanutti et al. (Journal of Mathematical Psychology, 103, 102552, 2021) provides a probabilistic framework for modeling the solution process of a task, via PKST. In this article, three adaptive procedures for the assessment of problem-solving skills are proposed that are based on the MSPM. Beside execution correctness, they also consider the sequence of moves observed in the solution of a problem with the aim of increasing efficiency and accuracy of assessments. The three procedures differ from one another in the assumption underlying the solution process, named pre-planning, interim-planning, and mixed-planning. In two simulation studies, the three adaptive procedures have been compared to one another and to the continuous Markov procedure (CMP) by Doignon and Falmagne (1988a). The last one accounts for dichotomous correct/wrong answers only. Results show that all the MSP-based adaptive procedures outperform the CMP in both accuracy and efficiency. These results have been obtained in the framework of the Tower of London test but the procedures can also be applied to all psychological and neuropsychological tests that have a problem space. Thus, the adaptive procedures presented in this paper pave the way to the adaptive assessment in the area of neuropsychological tests.
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Affiliation(s)
- Andrea Brancaccio
- Department of Philosophy, Sociology, Pedagogy, and Applied Psychology, University of Padua, Via Venezia, 14, 35131, Padova, Italy.
| | - Debora de Chiusole
- Department of Philosophy, Sociology, Pedagogy, and Applied Psychology, University of Padua, Via Venezia, 14, 35131, Padova, Italy
| | - Luca Stefanutti
- Department of Philosophy, Sociology, Pedagogy, and Applied Psychology, University of Padua, Via Venezia, 14, 35131, Padova, Italy
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15
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Christianson K, Prabhu M, Popp ZT, Rahman MS, Drane J, Lee M, Lathan C, Lin H, Au R, Sunderaraman P, Hwang PH. Adherence type impacts completion rates of frequent mobile cognitive assessments among older adults with and without cognitive impairment. RESEARCH SQUARE 2023:rs.3.rs-3350075. [PMID: 37841867 PMCID: PMC10571616 DOI: 10.21203/rs.3.rs-3350075/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Abstract
Background Prior to a diagnosis of Alzheimer's disease, many individuals experience cognitive and behavioral fluctuations that are not detected during a single session of traditional neuropsychological assessment. Mobile applications now enable high-frequency cognitive data to be collected remotely, introducing new opportunities and challenges. Emerging evidence suggests cognitively impaired older adults are capable of completing mobile assessments frequently, but no study has observed whether completion rates vary by assessment frequency or adherence type. Methods Thirty-three older adults were recruited from the Boston University Alzheimer's Disease Research Center (mean age = 73.5 years; 27.3% cognitively impaired; 57.6% female; 81.8% White, 18.2% Black). Participants remotely downloaded and completed the DANA Brain Vital application on their own mobile devices throughout the study. The study schedule included seventeen assessments to be completed over the course of a year. Specific periods during which assessments were expected to be completed were defined as subsegments, while segments consisted of multiple subsegments. The first segment included three subsegments to be completed within one week, the second segment included weekly subsegments and spanned three weeks, and the third and fourth segments included monthly subsegments spanning five and six months, respectively. Three distinct adherence types - subsegment adherence, segment adherence, and cumulative adherence - were examined to determine how completion rates varied depending on assessment frequency and adherence type. Results Adherence type significantly impacted whether the completion rates declined. When utilizing subsegment adherence, the completion rate significantly declined (p = 0.05) during the fourth segment. However, when considering completion rates from the perspective of segment adherence, a decline in completion rate was not observed. Overall adherence rates increased as adherence parameters were broadened from subsegment adherence (60.6%) to segment adherence (78.8%), to cumulative adherence (90.9%). Conclusions Older adults, including those with cognitive impairment, are able to complete remote cognitive assessments at a high-frequency, but may not necessarily adhere to prescribed schedules.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Rhoda Au
- Boston University School of Medicine
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16
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Pommy J, Conant L, Butts AM, Nencka A, Wang Y, Franczak M, Glass-Umfleet L. A graph theoretic approach to neurodegeneration: five data-driven neuropsychological subtypes in mild cognitive impairment. NEUROPSYCHOLOGY, DEVELOPMENT, AND COGNITION. SECTION B, AGING, NEUROPSYCHOLOGY AND COGNITION 2023; 30:903-922. [PMID: 36648118 DOI: 10.1080/13825585.2022.2163973] [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: 04/20/2022] [Accepted: 12/26/2022] [Indexed: 01/18/2023]
Abstract
Mild cognitive Impairment (MCI) is notoriously heterogenous in terms of clinical presentation, neuroimaging correlates, and subsequent progression. Predicting who will progress to dementia, which type of dementia, and over what timeframe is challenging. Previous work has attempted to identify MCI subtypes using neuropsychological measures in an effort to address this challenge; however, there is no consensus on approach, which may account for some of the variability. Using a hierarchical community detection approach, we examined cognitive subtypes within an MCI sample (from the Alzheimer's Disease Neuroimaging Initiative [ADNI] study). We then examined whether these subtypes were related to biomarkers (e.g., cortical volumes, fluorodeoxyglucose (FDG)-positron emission tomography (PET) hypometabolism) or clinical progression. We identified five communities (i.e., cognitive subtypes) within the MCI sample: 1) predominantly memory impairment, 2) predominantly language impairment, 3) cognitively normal, 4) multidomain, with notable executive dysfunction, 5) multidomain, with notable processing speed impairment. Community membership was significantly associated with 1) cortical volume in the hippocampus, entorhinal cortex, and fusiform cortex; 2) FDG PET hypometabolism in the posterior cingulate, angular gyrus, and inferior/middle temporal gyrus; and 3) conversion to dementia at follow up. Overall, community detection as an approach appears a viable method for identifying unique cognitive subtypes in a neurodegenerative sample that were linked to several meaningful biomarkers and modestly with progression at one year follow up.
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Affiliation(s)
- Jessica Pommy
- Department of Neurology, Medical College of Wisconsin, Milwaukee, United States
| | - L Conant
- Department of Neurology, Medical College of Wisconsin, Milwaukee, United States
| | - A M Butts
- Department of Neurology, Medical College of Wisconsin, Milwaukee, United States
| | - A Nencka
- Department of Radiology, Medical College of Wisconsin, Milwaukee, United States
| | - Y Wang
- Department of Radiology, Medical College of Wisconsin, Milwaukee, United States
| | - M Franczak
- Department of Neurology, Medical College of Wisconsin, Milwaukee, United States
| | - L Glass-Umfleet
- Department of Neurology, Medical College of Wisconsin, Milwaukee, United States
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17
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López-Pérez J, García-Herranz S, Díaz-Mardomingo MDC. Acquisition and consolidation of verbal learning and episodic memory as predictors of the conversion from mild cognitive impairment to probable Alzheimer's disease. NEUROPSYCHOLOGY, DEVELOPMENT, AND COGNITION. SECTION B, AGING, NEUROPSYCHOLOGY AND COGNITION 2023; 30:638-653. [PMID: 35475773 DOI: 10.1080/13825585.2022.2069670] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Verbal episodic memory tests assess memory performance using total learning scores. The analysis of inter-trial indices such as gained (GA) and lost (LA) access can provide additional information on the acquisition and consolidation processes. The main objetive was to determine whether the GA and LA indices, derived from a word-list verbal episodic memory test are useful for predicting cognitive impairment in aging. 60 older people aged was divided into 3 groups: cognitively healthy, stable Mild Cognitive Impairment (MCI) and MCI converting to probable Alzheimer's disease (MCI-conv). The results showed that GA and LA measures are independent from the traditional measures -total score of correct answers-. Logistic regression showed that these values are predictive of the conversion over time and could be a cognitive marker of conversion from MCI to AD. This suggests that the GA index, which shows acquisition processes in word-list tests, may be a marker of cognitive impairment.
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Affiliation(s)
- Jorge López-Pérez
- Department of Basic Psychology I, Faculty of Psychology, Universidad Nacional de Educación a Distancia, Madrid, Spain
| | - Sara García-Herranz
- Department of Basic Psychology II, Faculty of Psychology, Universidad Nacional de Educación a Distancia, Madrid, Spain
- Instituto Mixto de Investigación-Escuela Nacional de Sanidad (IMIENS), Madrid, Spain
| | - María Del Carmen Díaz-Mardomingo
- Department of Basic Psychology I, Faculty of Psychology, Universidad Nacional de Educación a Distancia, Madrid, Spain
- Instituto Mixto de Investigación-Escuela Nacional de Sanidad (IMIENS), Madrid, Spain
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18
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Ben-Dor Cohen M, Maeir A, Eldar E, Nahum M. Everyday Cognitive Control and Emotion Dysregulation in Young Adults With and Without ADHD: An Ecological Momentary Assessment Study. J Atten Disord 2023; 27:539-553. [PMID: 36779529 PMCID: PMC9978869 DOI: 10.1177/10870547231153934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/14/2023]
Abstract
OBJECTIVE This study examined the contribution of the temporal dynamics of two cognitive control mechanisms-inhibitory control (IC) and working memory (WM)-to emotion dysregulation (ED) in attention-deficit/hyperactivity disorder (ADHD) in ecological settings. METHOD One hundred twenty-two participants (age 18-33 years; 60 with ADHD) reported their ED at baseline, followed by a 5-day ecological momentary assessment (EMA) study, with short behavioral IC and WM tasks performed five times/day. RESULTS For IC, mean and lability of performance over EMA significantly accounted for differences in ED but not baseline performance. For WM, both baseline and mean of EMA, but not EMA lability, accounted for ED variance. ADHD status further contributed to the explained variance of ED. CONCLUSIONS Our results support the contribution of dynamic IC processes to ED in ADHD, in addition to WM performance level, and highlight the importance of dynamic and ecological investigation of different cognitive control components.
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Affiliation(s)
| | - Adina Maeir
- Hebrew University of Jerusalem,
Jerusalem, Israel
| | - Eran Eldar
- Hebrew University of Jerusalem,
Jerusalem, Israel
| | - Mor Nahum
- Hebrew University of Jerusalem,
Jerusalem, Israel,Mor Nahum, Faculty of Medicine, School of
Occupational Therapy, Hebrew University, Mt Scopus Campus, Jerusalem 9190501,
Israel.
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19
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DesRuisseaux LA, Suchy Y, Franchow EI. Intra-individual variability identifies individuals vulnerable to contextually induced executive lapses. Clin Neuropsychol 2023; 37:322-349. [PMID: 35392764 DOI: 10.1080/13854046.2022.2055651] [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] [Indexed: 01/28/2023]
Abstract
Contextual stressors, such as engagement in burdensome emotion regulation known as expressive suppression (ES), can result in transient but clinically meaningful decrement in performance on measures of executive functioning (EF). The goal of the present investigation was to examine whether intra-individual variability (IIV-I), which has been identified as an indicator of cognitive weakness, could serve as a marker of vulnerability to EF decrements due to both naturally-occurring and experimentally-manipulated ES. In Study 1, 180 cognitively healthy older adults completed the Push-Turn-Taptap (PTT) task to assess IIV-I, four Delis-Kaplan Executive Function System (D-KEFS) subtests to assess EF, and the Burden of State Emotion Regulation Questionnaire (B-SERQ) to assess naturally-occurring ES. In Study 2, a subset (n = 81) of participants underwent experimental manipulation to induce ES, followed by second administration of the D-KEFS to examine ES-induced decrements in EF. In Study 1, hierarchical linear regression yielded a significant interaction between ES and IIV-I as predictors of EF performance, demonstrating that high ES was associated with low EF only among individuals with high IIV-I. In Study 2, repeated measures ANOVA demonstrated an interaction between time (pre- vs. post- manipulation), group (ES vs. control), and IIV-I (high vs. low), such that only individuals who exhibited high IIV-I were negatively impacted by the ES manipulation. IIV-I moderates the association between ES and EF, such that only individuals with high IIV-I exhibit vulnerability to the impact of ES. Thus, IIV-I may act as a marker of vulnerability to temporary EF depletion.
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Affiliation(s)
| | - Yana Suchy
- Department of Psychology, University of Utah, Salt Lake City, UT, USA
| | - Emilie I Franchow
- Department of Psychology, University of Utah, Salt Lake City, UT, USA.,Advocate Aurora Healthcare, Milwaukee, WI, USA
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20
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Wilkerson GB, Colston MA, Acocello SN, Hogg JA, Carlson LM. Subtle impairments of perceptual-motor function and well-being are detectable among military cadets and college athletes with self-reported history of concussion. Front Sports Act Living 2023; 5:1046572. [PMID: 36761780 PMCID: PMC9905443 DOI: 10.3389/fspor.2023.1046572] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 01/03/2023] [Indexed: 01/26/2023] Open
Abstract
Introduction A lack of obvious long-term effects of concussion on standard clinical measures of behavioral performance capabilities does not preclude the existence of subtle neural processing impairments that appear to be linked to elevated risk for subsequent concussion occurrence, and which may be associated with greater susceptibility to progressive neurodegenerative processes. The purpose of this observational cohort study was to assess virtual reality motor response variability and survey responses as possible indicators of suboptimal brain function among military cadets and college athletes with self-reported history of concussion (HxC). Methods The cohort comprised 75 college students (20.7 ± 2.1 years): 39 Reserve Officer Training Corp (ROTC) military cadets (10 female), 16 football players, and 20 wrestlers; HxC self-reported by 20 (29.2 ± 27.1 months prior, range: 3-96). A virtual reality (VR) test involving 40 lunging/reaching responses to horizontally moving dots (filled/congruent: same direction; open/incongruent: opposite direction) was administered, along with the Sport Fitness and Wellness Index (SFWI) survey. VR Dispersion (standard deviation of 12 T-scores for neck, upper extremity, and lower extremity responses to congruent vs. incongruent stimuli originating from central vs. peripheral locations) and SFWI response patterns were the primary outcomes of interest. Results Logistic regression modeling of VR Dispersion (range: 1.5-21.8), SFWI (range: 44-100), and an interaction between them provided 81% HxC classification accuracy (Model χ 2[2] = 26.03, p < .001; Hosmer & Lemeshow χ 2[8] = 1.86, p = .967; Nagelkerke R 2 = .427; Area Under Curve = .841, 95% CI: .734, .948). Binary modeling that included VR Dispersion ≥3.2 and SFWI ≤86 demonstrated 75% sensitivity and 86% specificity with both factors positive (Odds Ratio = 17.6, 95% CI: 5.0, 62.1). Discussion/Conclusion Detection of subtle indicators of altered brain processes that might otherwise remain unrecognized is clearly important for both short-term and long-term clinical management of concussion. Inconsistency among neck, upper extremity, and lower extremity responses to different types of moving visual stimuli, along with survey responses suggesting suboptimal well-being, merit further investigation as possible clinical indicators of persisting effects of concussion that might prove to be modifiable.
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Affiliation(s)
- Gary B Wilkerson
- Department of Health and Human Performance, University of Tennessee at Chattanooga, Chattanooga, TN, United States
| | - Marisa A Colston
- Department of Health and Human Performance, University of Tennessee at Chattanooga, Chattanooga, TN, United States
| | - Shellie N Acocello
- Department of Health and Human Performance, University of Tennessee at Chattanooga, Chattanooga, TN, United States
| | - Jennifer A Hogg
- Department of Health and Human Performance, University of Tennessee at Chattanooga, Chattanooga, TN, United States
| | - Lynette M Carlson
- Department of Health and Human Performance, University of Tennessee at Chattanooga, Chattanooga, TN, United States
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21
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Jónsdóttir MK, Harrison J, Hannesdóttir KI. The ambivalence toward neuropsychology in dementia research, diagnosis, and drug development: Myths and misconceptions. Alzheimers Dement 2023; 19:2175-2181. [PMID: 36638069 DOI: 10.1002/alz.12909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Revised: 11/19/2022] [Accepted: 11/21/2022] [Indexed: 01/14/2023]
Abstract
Clinical assessment remains the gold standard for diagnosing dementia, monitoring progression, and conducting clinical research. Biomarkers hold promise for targeted therapeutic approaches, selection of participants in clinical trials, and direct physiological efficacy readouts. However, the anchoring of biomarker research to clinical symptomatology is often based on short and insensitive cognitive screening. This gives the impression that cognitive symptoms occur relatively late and that their progression in the early stages of the disease is slow. A thorough cognitive assessment is a powerful tool and has a key role in the accurate and early diagnosis of dementia. It is very different from the cognitive testing usually seen in biomarker research and drug development. Yet the distinction between these approaches is unclear to many. This paper highlights the misconceptions around cognitive research in dementia and suggests a way forward to facilitate biomarker and drug development through the improved utility of cognitive assessment tools.
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Affiliation(s)
- María K Jónsdóttir
- Reykjavík University, Reykjavík, Iceland.,Landspitali - The National University Hospital of Iceland (Memory Clinic), Reykjavík, Iceland
| | - John Harrison
- Metis Cognition Ltd., Kilmington Common Wiltshire, UK.,Alzheimercentrum, Amsterdam, the Netherlands.,Institute of Psychiatry, Psychology & Neuroscience, KCL, London, UK
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22
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Davis JJ, Sivaramakrishnan A, Rolin S, Subramanian S. Intra-individual variability in cognitive performance predicts functional decline in Parkinson's disease. APPLIED NEUROPSYCHOLOGY. ADULT 2023:1-8. [PMID: 36628434 PMCID: PMC10330935 DOI: 10.1080/23279095.2022.2157276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
BACKGROUND Cognitive deficits contribute to disability in Parkinson's disease (PD). Cognitive intra-individual variability (IIV) is associated with cognitive decline in age-related disorders, but IIV has not been related to functional ability in PD. We examined IIV in predicting functional ability in participants with PD. METHODS De-identified National Alzheimer's Coordinating Center data (N = 1,228) from baseline and follow-up visits included participants with PD propensity score matched to control participants at baseline on age (M = 72), education (M = 15), and gender (28% female). PD symptom duration averaged 6 years. Outcome measures included the Functional Ability Questionnaire (FAQ), overall test battery mean (OTBM) of ten cognitive variables, IIV calculated as the standard deviation of cognitive data for each participant, Geriatric Depression Scale (GDS), and Unified PD Rating Scale gait and posture items. Baseline FAQ status in the PD group was predicted using logistic regression with age, education, cognition, GDS, and motor function as predictors. We compared baseline characteristics of PD participants with and without functional impairment at follow up. RESULTS PD participants showed lower OTBM and greater IIV, GDS, and motor dysfunction than controls (p < .0001). Education, OTBM, IIV, GDS, and gait predicted functional status (77% overall classification; AUC = .84). PD participants with functional impairment at follow up showed significantly lower OTBM and greater IIV, GDS, and motor dysfunction at baseline (p < .001). CONCLUSION IIV independently predicts functional status in participants with PD while controlling for other variables. PD participants with functional impairment at follow up showed greater IIV than those without functional impairment at follow up.
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Affiliation(s)
- Jeremy J. Davis
- Department of Neurology, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, UT Health San Antonio
| | | | - Summer Rolin
- Department of Rehabilitation Medicine, Long School of Medicine, UT Health San Antonio
| | - Sandeep Subramanian
- Department of Physical Therapy, UT Health San Antonio
- Department of Rehabilitation Medicine, Long School of Medicine, UT Health San Antonio
- Department of Physician Assistant Studies, UT Health San Antonio
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23
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Mascarenhas Fonseca L, Sage Chaytor N, Olufadi Y, Buchwald D, Galvin JE, Schmitter-Edgecombe M, Suchy-Dicey A. Intraindividual Cognitive Variability and Magnetic Resonance Imaging in Aging American Indians: Data from the Strong Heart Study. J Alzheimers Dis 2023; 91:1395-1407. [PMID: 36641671 PMCID: PMC9974814 DOI: 10.3233/jad-220825] [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] [Indexed: 01/15/2023]
Abstract
BACKGROUND American Indians have high prevalence of risk factors for Alzheimer's disease and related dementias (ADRD) compared to the general population, yet dementia onset and frequency in this population are understudied. Intraindividual cognitive variability (IICV), a measure of variability in neuropsychological test performance within a person at a single timepoint, may be a novel, noninvasive biomarker of neurodegeneration and early dementia. OBJECTIVE To characterize the cross-sectional associations between IICV and hippocampal, total brain volume, and white matter disease measured by magnetic resonance imaging (MRI) among older American Indians. METHODS IICV measures for memory, executive function, and processing speed, and multidomain cognition were calculated for 746 American Indians (aged 64-95) who underwent MRI. Regression models were used to examine the associations of IICV score with hippocampal volume, total brain volume, and graded white matter disease, adjusting for age, sex, education, body mass index, intracranial volume, diabetes, stroke, hypertension, hypercholesterolemia, alcohol use, and smoking. RESULTS Higher memory IICV measure was associated with lower hippocampal volume (Beta = -0.076; 95% CI -0.499, -0.023; p = 0.031). After adjustment for Bonferroni or IICV mean scores in the same tests, the associations were no longer significant. No IICV measures were associated with white matter disease or total brain volume. CONCLUSION These findings suggest that the IICV measures used in this research cannot be robustly associated with cross-sectional neuroimaging features; nonetheless, the results encourage future studies investigating the associations between IICV and other brain regions, as well as its utility in the prediction of neurodegeneration and dementia in American Indians.
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Affiliation(s)
- Luciana Mascarenhas Fonseca
- Elson S Floyd College of Medicine, Washington State University, United States
- Programa Terceira Idade (PROTER, Old Age Research Group), Department and Institute of Psychiatry, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Naomi Sage Chaytor
- Elson S Floyd College of Medicine, Washington State University, United States
| | - Yunusa Olufadi
- Elson S Floyd College of Medicine, Washington State University, United States
| | - Dedra Buchwald
- Elson S Floyd College of Medicine, Washington State University, United States
- Institute for Research and Education to Advance Community Health, Washington State University, United States
| | - James E. Galvin
- Comprehensive Center for Brain Health, Department of Neurology, University of Miami Miller School of Medicine, United States
| | | | - Astrid Suchy-Dicey
- Elson S Floyd College of Medicine, Washington State University, United States
- Institute for Research and Education to Advance Community Health, Washington State University, United States
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24
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Webber TA, Kiselica AM, Mikula C, Woods SP. Dispersion-based cognitive intra-individual variability in dementia with Lewy bodies. Neuropsychology 2022; 36:719-729. [PMID: 36107707 PMCID: PMC9613596 DOI: 10.1037/neu0000856] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/19/2023] Open
Abstract
OBJECTIVE Cognitive fluctuations are characteristic of dementia with Lewy bodies (DLB) but challenging to measure. Dispersion-based intra-individual variability (IIV-d) captures neurocognitive performance fluctuations across a test battery and may be sensitive to cognitive fluctuations but has not been studied in DLB. METHOD We report on 5,976 participants that completed the uniform data set 3.0 neuropsychological battery (UDS3NB). IIV-d was calculated via the intra-individual standard deviation across 12 primary UDS3NB indicators. Separate models using mean USD3NB score and the Montreal cognitive assessment (MoCA) total score tested the reproducibility of the incremental value of IIV-d over-and-above global cognition. Binary logistic regressions tested whether IIV-d could classify individuals with and without clinician-rated cognitive fluctuations. Multinomial logistic regressions tested whether IIV-d could differentiate participants with DLB, participants with Alzheimer's disease (AD), and participants with healthy cognition (CH), as well as the incremental diagnostic utility of IIV-d over-and-above clinician-rated cognitive fluctuations. RESULTS IIV-d exhibited large univariate associations with clinician-rated and non-clinician-informant reported cognitive fluctuations, which persisted when adjusting for MoCA but not the full battery mean. Of diagnostic relevance, greater IIV-d was consistently associated with DLB and AD relative to CH over-and-above global cognition and clinician-rated cognitive fluctuations. Greater IIV-d was less consistently associated with an increased probability of DLB relative to AD when controlling for global cognition. CONCLUSIONS IIV-d accurately differentiates DLB from CH over-and-above global cognition and clinician-rated cognitive fluctuations. IIV-d may supplement a thorough clinical interview of cognitive fluctuations and serve as a standardized performance-based indicator of this transdiagnostic phenomenon. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Affiliation(s)
- Troy A. Webber
- Mental Health Care Line, Michael E. DeBakey VA Medical Center, Houston, Texas, United States
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine
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25
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Lin SSH, McDonough IM. Intra-individual cognitive variability in neuropsychological assessment: a sign of neural network dysfunction. NEUROPSYCHOLOGY, DEVELOPMENT, AND COGNITION. SECTION B, AGING, NEUROPSYCHOLOGY AND COGNITION 2022; 29:375-399. [PMID: 34963423 DOI: 10.1080/13825585.2021.2021134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Intra-Individual Cognitive Variability (IICV) predicts progression in neurocognitive disorders . Given important clinical applications, we investigated the association between IICV and multiple brain metrics across 17 networks to better understand the brain mechanisms underlying this performance measure. Sixty-three middle-aged and older adults without dementia underwent a neuropsychological battery, resting-state fMRI, and structural MRI scans. In a linear mixed effect model, higher IICV was associated with lower functional connectivity in control C network relative to medial occipital network (the reference). A multivariate partial least squares analysis revealed that lower mean and higher variability were both associated with lower connectivity in sensorimotor and default mode networks, while higher mean and higher variability were associated with lower volume in default mode and limbic networks. This study suggests that IICV signals widespread network dysfunction across multiple brain networks. These brain abnormalities offer new insights into mechanisms of early cognitive dysfunction. Clinical implications are discussed.
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Affiliation(s)
- Shayne S-H Lin
- Department of Psychology, The University of Alabama, Tuscaloosa, Alabama, USA
| | - Ian M McDonough
- Department of Psychology, The University of Alabama, Tuscaloosa, Alabama, USA
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26
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Abstract
OBJECTIVE Discrepancies exist in reports of social cognition deficits in individuals with premanifest Huntington's disease (HD); however, the reason for this variability has not been investigated. The aims of this study were to (1) evaluate group- and individual-level social cognitive performance and (2) examine intra-individual variability (dispersion) across social cognitive domains in individuals with premanifest HD. METHOD Theory of mind (ToM), social perception, empathy, and social connectedness were evaluated in 35 individuals with premanifest HD and 29 healthy controls. Cut-off values beneath the median and 1.5 × the interquartile range below the 25th percentile (P25 - 1.5 × IQR) of healthy controls for each variable were established for a profiling method. Dispersion between social cognitive domains was also calculated. RESULTS Compared to healthy controls, individuals with premanifest HD performed worse on all social cognitive domains except empathy. Application of the profiling method revealed a large proportion of people with premanifest HD fell below healthy control median values across ToM (>80%), social perception (>57%), empathy (>54%), and social behaviour (>40%), with a percentage of these individuals displaying more pronounced impairments in empathy (20%) and ToM (22%). Social cognition dispersion did not differ between groups. No significant correlations were found between social cognitive domains and mood, sleep, and neurocognitive outcomes. CONCLUSIONS Significant group-level social cognition deficits were observed in the premanifest HD cohort. However, our profiling method showed that only a small percentage of these individuals experienced marked difficulties in social cognition, indicating the importance of individual-level assessments, particularly regarding future personalised treatments.
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Day-to-day reciprocal associations between depressive symptoms, cognitive performance, and sleep and the single-subject design. Int Psychogeriatr 2022; 34:7-9. [PMID: 34392871 DOI: 10.1017/s1041610221001149] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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28
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Zdanowski S, Tieks A, Jeronimus BF, Zuidersma M. Intra-Individual Variability in Cognitive Performance Can Befuddle the Study of Cognitive Impairments and Decline. J Alzheimers Dis 2021; 85:519-525. [PMID: 34864656 PMCID: PMC8842756 DOI: 10.3233/jad-210304] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Using group-aggregated results and snapshot assessments of cognitive performance may prove problematic if the assessed construct shows substantial and rapid variation over time. To illustrate the significance of this issue, we analyzed cognitive performance data of ten older adults undergoing daily computerized cognitive assessments (CogState Brief Battery) for 36–93 days. In all cases, the day-to-day intra-individual variability was substantial when compared with group-level, between-person variability. This indicates that the results of studies using single snapshot assessments of cognitive functioning should be interpreted with caution. Additionally, group-aggregated measures of cognitive performance may not directly extrapolate to an individual.
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Affiliation(s)
- Szymon Zdanowski
- Department of Anaesthesiology and IntensiveTherapy, Faculty of Medicine, Medical University of Gdańsk, Gdańsk, Poland
| | - Alieke Tieks
- The Interdisciplinary CenterPsychopathology and Emotion Regulation (ICPE), University Medical Center Groningen, University Center of Psychiatry University of Groningen, Groningen, The Netherlands
| | - Bertus F Jeronimus
- Department of Developmental Psychology, University of Groningen, Groningen, TheNetherlands
| | - Marij Zuidersma
- The Interdisciplinary CenterPsychopathology and Emotion Regulation (ICPE), University Medical Center Groningen, University Center of Psychiatry University of Groningen, Groningen, The Netherlands
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Attaining the recesses of the cognitive space. Cogn Neurodyn 2021; 16:767-778. [PMID: 35847536 PMCID: PMC9279523 DOI: 10.1007/s11571-021-09755-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 10/31/2021] [Accepted: 11/08/2021] [Indexed: 11/26/2022] Open
Abstract
Existing neuropsychological tests of executive function often manifest a difficulty pinpointing cognitive deficits when these are intermittent and come in the form of omissions. We discuss the hypothesis that two partially interrelated reasons for this failure stem from relative inability of neuropsychological tests to explore the cognitive space and to explicitly take into account strategic and opportunistic resource allocation decisions, and to address the temporal aspects of both behaviour and task-related brain function in data analysis. Criteria for tasks suitable for neuropsychological assessment of executive function, as well as appropriate ways to analyse and interpret observed behavioural data are suggested. It is proposed that experimental tasks should be devised which emphasize typical rather than optimal performance, and that analyses should quantify path-dependent fluctuations in performance levels rather than averaged behaviour. Some implications for experimental neuropsychology are illustrated for the case of planning and problem-solving abilities and with particular reference to cognitive impairment in closed-head injury.
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30
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Wilkerson GB, Nabhan DC, Perry TS. A Novel Approach to Assessment of Perceptual-Motor Efficiency and Training-Induced Improvement in the Performance Capabilities of Elite Athletes. Front Sports Act Living 2021; 3:729729. [PMID: 34661098 PMCID: PMC8517233 DOI: 10.3389/fspor.2021.729729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 08/31/2021] [Indexed: 11/13/2022] Open
Abstract
Standard clinical assessments of mild traumatic brain injury are inadequate to detect subtle abnormalities that can be revealed by sophisticated diagnostic technology. An association has been observed between sport-related concussion (SRC) and subsequent musculoskeletal injury, but the underlying neurophysiological mechanism is not currently understood. A cohort of 16 elite athletes (10 male, 6 female), which included nine individuals who reported a history of SRC (5 male, 4 female) that occurred between 4 months and 8 years earlier, volunteered to participate in a 12-session program for assessment and training of perceptual-motor efficiency. Performance metrics derived from single- and dual-task whole-body lateral and diagonal reactive movements to virtual reality targets in left and right directions were analyzed separately and combined in various ways to create composite representations of global function. Intra-individual variability across performance domains demonstrated very good SRC history classification accuracy for the earliest 3-session phase of the program (Reaction Time Dispersion AUC = 0.841; Deceleration Dispersion AUC = 0.810; Reaction Time Discrepancy AUC = 0.825, Deceleration Discrepancy AUC = 0.794). Good earliest phase discrimination was also found for Composite Asymmetry between left and right movement directions (AUC = 0.778) and Excursion Average distance beyond the minimal body displacement necessary for virtual target deactivation (AUC = 0.730). Sensitivity derived from Youden's Index for the 6 global factors ranged from 67 to 89% and an identical specificity value of 86% for all of them. Median values demonstrated substantial improvement from the first 3-session phase to the last 3-session phase for Composite Asymmetry and Excursion Average. The results suggest that a Composite Asymmetry value ≥ 0.15 and an Excursion Average value ≥ 7 m, provide reasonable qualitative approximations for clinical identification of suboptimal perceptual-motor performance. Despite acknowledged study limitations, the findings support a hypothesized relationship between whole-body reactive agility performance and functional connectivity among brain networks subserving sensory perception, cognitive decision-making, and motor execution. A complex systems approach appears to perform better than traditional data analysis methods for detection of subtle perceptual-motor impairment, which has the potential to advance both clinical management of SRC and training for performance enhancement.
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Affiliation(s)
- Gary B Wilkerson
- Department of Health and Human Performance, University of Tennessee at Chattanooga, Chattanooga, TN, United States
| | - Dustin C Nabhan
- Oslo Sports Trauma Research Center, Norwegian School of Sport Science, Oslo, Norway
| | - Tyler S Perry
- Orthopedics and Sports Medicine, Emory Healthcare, Atlanta, GA, United States
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LaPlume AA, Paterson TSE, Gardner S, Stokes KA, Freedman M, Levine B, Troyer AK, Anderson ND. Interindividual and intraindividual variability in amnestic mild cognitive impairment (aMCI) measured with an online cognitive assessment. J Clin Exp Neuropsychol 2021; 43:796-812. [PMID: 34556008 DOI: 10.1080/13803395.2021.1982867] [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: 10/20/2022]
Abstract
INTRODUCTION Mean cognitive performance is worse in amnestic mild cognitive impairment (aMCI) compared to control groups. However, studies on variability of cognitive performance in aMCI have yielded inconclusive results, with many differences in variability measures and samples from one study to another. METHODS We examined variability in aMCI using an existing older adult sample (n = 91; 51 with aMCI, 40 with normal cognition for age), measured with an online self-administered computerized cognitive assessment (Cogniciti's Brain Health Assessment). Our methodology extended past findings by using pure measures of variability (controlling for confounding effects of group performance or practice), and a clinically representative aMCI sample (reflecting the continuum of cognitive performance between normal cognition and aMCI). RESULTS Between-group t-tests showed significantly greater between-person variability (interindividual variability or diversity) in overall cognitive performance in aMCI than controls, although the effect size was with a small to moderate effect size, d = 0.44. No significant group differences were found in within-person variability (intraindividual variability) across cognitive tasks (dispersion) or across trials of a response time task (inconsistency), which may be because we used a sample measuring the continuum of cognitive performance. Exploratory correlation analyses showed that a worse overall score was associated with greater inter- and intraindividual variability, and that variability measures were correlated with each other, indicating people with worse cognitive performance were more variable. DISCUSSION The current study demonstrates that self-administered online tests can be used to remotely assess different types of variability in people at risk of Alzheimer`s. Our findings show small but significantly more interindividual differences in people with aMCI. This diversity is considered as "noise" in standard assessments of mean performance, but offers an interesting and cognitively informative "signal" in itself.
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Affiliation(s)
- Annalise A LaPlume
- Rotman Research Institute, Baycrest (Fully Affiliated with the University of Toronto), Toronto, Canada
| | - Theone S E Paterson
- Department of Psychology, University of Victoria, Victoria, Canada.,Neuropsychology and Cognitive Health Program, Baycrest, Toronto, Canada
| | - Sandra Gardner
- Rotman Research Institute, Baycrest (Fully Affiliated with the University of Toronto), Toronto, Canada.,Biostatistics Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Kathryn A Stokes
- Neuropsychology and Cognitive Health Program, Baycrest, Toronto, Canada
| | - Morris Freedman
- Rotman Research Institute, Baycrest (Fully Affiliated with the University of Toronto), Toronto, Canada.,Division of Neurology, Baycrest, Toronto, Canada.,Department of Medicine, Division of Neurology, Mt. Sinai Hospital, Toronto, ON, Canada.,Department of Medicine (Neurology), University of Toronto, Toronto, Canada
| | - Brian Levine
- Rotman Research Institute, Baycrest (Fully Affiliated with the University of Toronto), Toronto, Canada.,Department of Medicine (Neurology), University of Toronto, Toronto, Canada.,Department of Psychology, University of Toronto, Toronto, Canada
| | - Angela K Troyer
- Neuropsychology and Cognitive Health Program, Baycrest, Toronto, Canada.,Department of Psychology, University of Toronto, Toronto, Canada
| | - Nicole D Anderson
- Rotman Research Institute, Baycrest (Fully Affiliated with the University of Toronto), Toronto, Canada.,Department of Psychology, University of Toronto, Toronto, Canada.,Department of Psychiatry, University of Toronto, Toronto, Canada
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Watermeyer T, Massa F, Goerdten J, Stirland L, Johansson B, Muniz-Terrera G. Cognitive Dispersion Predicts Grip Strength Trajectories in Men but not Women in a Sample of the Oldest Old Without Dementia. Innov Aging 2021; 5:igab025. [PMID: 34549095 PMCID: PMC8448440 DOI: 10.1093/geroni/igab025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Indexed: 11/14/2022] Open
Abstract
Background and Objectives Grip strength is a reliable marker of biological vitality and it typically demonstrates an expected decline in older adults. According to the common-cause hypothesis, there is also a significant association between cognitive and physical function in older adults. Some specific cognitive functions have been shown to be associated with grip strength trajectories with most research solely focused on cutoff points or mean cognitive performance. In the present study, we examine whether a measure of cognitive dispersion might be more informative. We therefore used an index that quantifies dispersion in cognitive scores across multiple cognitive tests, shown to be associated with detrimental outcomes in older adults. Research Design and Methods Using repeated grip strength measures from men and women aged 80 and older, free of dementia in the OCTO-Twin study, we estimated aging-related grip strength trajectories. We examined the association of cognitive dispersion and mean cognitive function with grip strength level and aging-related rate of change, accounting for known risk factors. Results Cognitive dispersion was associated with grip strength trajectories in men and the association varied by mean cognitive performance, whereas we found no association in women. Discussion and Implications Our results provide evidence of a sex-specific vitality association between cognitive dispersion and aging-related trajectories of grip strength. Our results support the call for integration of sex and gender in health promotion and intervention research.
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Affiliation(s)
- Tamlyn Watermeyer
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.,Department of Psychology, Faculty of Health & Life Sciences, Northumbria University, Newcastle, UK
| | - Fernando Massa
- Instituto de Estadistica, Universidad de la Republica del Uruguay, Montevideo, Uruguay
| | - Jantje Goerdten
- Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany
| | - Lucy Stirland
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Boo Johansson
- Department of Psychology & Centre for Ageing and Health (AgeCap), University of Gothenburg, Goethenburg, Sweden
| | - Graciela Muniz-Terrera
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
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Moorman SM, Greenfield EA, Carr K. Using Mixture Modeling to Construct Subgroups of Cognitive Aging in the Wisconsin Longitudinal Study. J Gerontol B Psychol Sci Soc Sci 2021; 76:1512-1522. [PMID: 33152080 DOI: 10.1093/geronb/gbaa191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES Longitudinal surveys of older adults increasingly incorporate assessments of cognitive performance. However, very few studies have used mixture modeling techniques to describe cognitive aging, identifying subgroups of people who display similar patterns of performance across discrete cognitive functions. We employ this approach to advance empirical evidence concerning interindividual variability and intraindividual change in patterns of cognitive aging. METHOD We drew upon data from 3,713 participants in the Wisconsin Longitudinal Study (WLS). We used latent class analysis to generate subgroups of cognitive aging based on assessments of verbal fluency and episodic memory at ages 65 and 72. We also employed latent transition analysis to identify how individual participants moved between subgroups over the 7-year period. RESULTS There were 4 subgroups at each point in time. Approximately 3 quarters of the sample demonstrated continuity in the qualitative type of profile between ages 65 and 72, with 17.9% of the sample in a profile with sustained overall low performance at both ages 65 and 72. An additional 18.7% of participants made subgroup transitions indicating marked decline in episodic memory. DISCUSSION Results demonstrate the utility of using mixture modeling to identify qualitatively and quantitatively distinct subgroups of cognitive aging among older adults. We discuss the implications of these results for the continued use of population health data to advance research on cognitive aging.
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Affiliation(s)
| | | | - Kyle Carr
- Boston College, Chestnut Hill, Massachusetts
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Bernstein LJ, Edelstein K, Sharma A, Alain C. Chemo-brain: An activation likelihood estimation meta-analysis of functional magnetic resonance imaging studies. Neurosci Biobehav Rev 2021; 130:314-325. [PMID: 34454915 DOI: 10.1016/j.neubiorev.2021.08.024] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Revised: 07/24/2021] [Accepted: 08/23/2021] [Indexed: 11/17/2022]
Abstract
Adults with non-central nervous system (CNS) cancers frequently report problems in attention, memory and executive function during or after chemotherapy, referred to as cancer-related cognitive dysfunction (CRCD). Despite numerous studies investigating CRCD, there is no consensus regarding the brain areas implicated. We sought to determine if there are brain areas that consistently show either hyper- or hypo-activation in people treated with chemotherapy for non-CNS cancer (Chemo+). Using activation likelihood estimation on brain coordinates from 14 fMRI studies yielding 25 contrasts from 375 Chemo+ and 429 chemotherapy-naive controls while they performed cognitive tasks, the meta-analysis yielded two significant clusters which are part of the frontoparietal attention network, both showing lower activation in Chemo+. One cluster peaked in the left superior parietal cortex, extending into precuneus, inferior parietal lobule, and angular gyrus. The other peaked in the right superior prefrontal areas, extending into inferior prefrontal cortex. We propose that these observed lower activations reflect a dysfunction in mobilizing and/or sustaining attention due to depletion of cognitive resources. This could explain higher level of mental fatigue reported by Chemo+ and why cancer survivors report problems in a wide variety of cognitive domains.
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Affiliation(s)
- Lori J Bernstein
- Department of Supportive Care, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Canada.
| | - Kim Edelstein
- Department of Supportive Care, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Canada
| | - Alisha Sharma
- Department of Supportive Care, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Claude Alain
- Rotman Research Institute, Baycrest Health Centre, Canada; Department of Psychology, University of Toronto, Canada
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Martínez-Florez JF, Osorio JD, Cediel JC, Rivas JC, Granados-Sánchez AM, López-Peláez J, Jaramillo T, Cardona JF. Short-Term Memory Binding Distinguishing Amnestic Mild Cognitive Impairment from Healthy Aging: A Machine Learning Study. J Alzheimers Dis 2021; 81:729-742. [PMID: 33814438 DOI: 10.3233/jad-201447] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
BACKGROUND Amnestic mild cognitive impairment (aMCI) is the most common preclinical stage of Alzheimer's disease (AD). A strategy to reduce the impact of AD is the early aMCI diagnosis and clinical intervention. Neuroimaging, neurobiological, and genetic markers have proved to be sensitive and specific for the early diagnosis of AD. However, the high cost of these procedures is prohibitive in low-income and middle-income countries (LIMCs). The neuropsychological assessments currently aim to identify cognitive markers that could contribute to the early diagnosis of dementia. OBJECTIVE Compare machine learning (ML) architectures classifying and predicting aMCI and asset the contribution of cognitive measures including binding function in distinction and prediction of aMCI. METHODS We conducted a two-year follow-up assessment of a sample of 154 subjects with a comprehensive multidomain neuropsychological battery. Statistical analysis was proposed using complete ML architectures to compare subjects' performance to classify and predict aMCI. Additionally, permutation importance and Shapley additive explanations (SHAP) routines were implemented for feature importance selection. RESULTS AdaBoost, gradient boosting, and XGBoost had the highest performance with over 80%success classifying aMCI, and decision tree and random forest had the highest performance with over 70%success predictive routines. Feature importance points, the auditory verbal learning test, short-term memory binding tasks, and verbal and category fluency tasks were used as variables with the first grade of importance to distinguish healthy cognition and aMCI. CONCLUSION Although neuropsychological measures do not replace biomarkers' utility, it is a relatively sensitive and specific diagnostic tool for aMCI. Further studies with ML must identify cognitive performance that differentiates conversion from average MCI to the pathological MCI observed in AD.
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Affiliation(s)
| | - Juan D Osorio
- Instituto de Psicología, Universidad del Valle, Santiago de Cali, Colombia
| | - Judith C Cediel
- Instituto de Psicología, Universidad del Valle, Santiago de Cali, Colombia.,Departamento de Estudios Psicológicos, Facultad de Derecho y Ciencias Sociales, Universidad ICESI , Santiago de Cali, Colombia
| | - Juan C Rivas
- Departamento de Psiquiatría, Facultad de Salud, Universidad del Valle, Santiago de Cali, Colombia.,Hospital Departamental Psiquiátrico Universitario del Valle, Santiago de Cali, Colombia.,Departamento de Psiquiatría, Fundación Valle del Lili, Santiago de Cali, Colombia
| | - Ana M Granados-Sánchez
- Departamento de Imágenes Diagnósticas, Fundación Valle del Lili, Santiago de Cali, Colombia
| | | | - Tania Jaramillo
- Instituto de Psicología, Universidad del Valle, Santiago de Cali, Colombia
| | - Juan F Cardona
- Instituto de Psicología, Universidad del Valle, Santiago de Cali, Colombia
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36
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Braw Y. Response Time Measures as Supplementary Validity Indicators in Forced-Choice Recognition Memory Performance Validity Tests: A Systematic Review. Neuropsychol Rev 2021; 32:71-98. [PMID: 33821424 DOI: 10.1007/s11065-021-09499-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 03/05/2021] [Indexed: 01/17/2023]
Abstract
Performance validity tests (PVTs) based on the forced-choice recognition memory (FCRM) paradigm are commonly used for the detection of noncredible performance. Examinees' response times (RTs) are affected by cognitive processes associated with deception and can also be gathered without lengthening the duration of the assessment. Consequently, interest in the utility of these measures as supplementary validity indicators in FCRM-PVTs has grown over the years. The current systematic review summarizes both clinical and simulation (i.e., healthy participants simulating cognitive impairment) studies of RTs in FCRM-PVTs. The findings of 25 peer-reviewed articles (n = 26 empirical studies) indicate that noncredible performance in FCRM-PVTs is associated with longer RTs. Additionally, there are indications that noncredible performance is associated with larger variability in RTs. RT measures, however, have lower discrimination capacity than conventional accuracy measures. Their utility may therefore lie in reaching decisions regarding cases with border zone accuracy scores, as well as aiding in the detection of more sophisticated examinees who are aware of the use of accuracy-based validity indicators in FCRM-PVTs. More research, however, is required before these measures are incorporated in daily practice and clinical decision-making processes.
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Affiliation(s)
- Yoram Braw
- Department of Psychology, Ariel University, Ariel, Israel.
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Loss of Consciousness is Associated with Elevated Cognitive Intra-Individual Variability Following Sports-Related Concussion. J Int Neuropsychol Soc 2021; 27:197-203. [PMID: 32772944 DOI: 10.1017/s1355617720000727] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The purpose of this study was to evaluate whether loss of consciousness (LOC), retrograde amnesia (RA), and anterograde amnesia (AA) independently influence a particular aspect of post-concussion cognitive functioning-across-test intra-individual variability (IIV), or cognitive dispersion. METHOD Concussed athletes (N = 111) were evaluated, on average, 6.04 days post-injury (SD = 5.90; Mdn = 4 days; Range = 1-26 days) via clinical interview and neuropsychological assessment. Primary outcomes of interest included two measures of IIV-an intra-individual standard deviation (ISD) score and a maximum discrepancy (MD) score-computed from 18 norm-referenced variables. RESULTS Analyses of covariance (ANCOVAs) adjusting for time since injury and sex revealed a significant effect of LOC on the ISD (p = .018, ηp2 = .051) and MD (p = .034, ηp2 = .041) scores, such that athletes with LOC displayed significantly greater IIV than athletes without LOC. In contrast, measures of IIV did not significantly differ between athletes who did and did not experience RA or AA (all p > .05). CONCLUSIONS LOC, but not RA or AA, was associated with greater variability, or inconsistencies, in cognitive performance acutely following concussion. Though future studies are needed to verify the clinical significance of these findings, our results suggest that LOC may contribute to post-concussion cognitive dysfunction and may be a risk factor for less efficient cognitive functioning.
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Holtzer R, Ross D, Izzetoglu M. Intraindividual variability in neural activity in the prefrontal cortex during active walking in older adults. Psychol Aging 2020; 35:1201-1214. [PMID: 33180518 DOI: 10.1037/pag0000583] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Intraindividual variability in gait and cognitive performance is distinct from central-tendency measures and associated with clinical outcomes in aging. Knowledge concerning intraindividual variability in neural activity, however, has been relatively scarce, and no research to date has reported on such variability during active walking. The current study addressed this major gap in knowledge. Participants were community-residing older adults (n = 394; mean age = 76.29 ± 6.65 years; %female = 55). Functional near-infrared spectroscopy (fNIRS) was used to measure oxygenated hemoglobin (HbO2) in the prefrontal cortex under three experimental conditions: single-task-walk, single-task-alpha (cognitive task), and dual-task-walk, which required the participants to perform the two single tasks simultaneously. Intraindividual variability in neural activity was operationalized using the standard deviation of fNIRS-derived HbO2 observations assessed during a 30-s interval in each experimental condition. The increase in intraindividual variability in neural activity in the dual-task-walk condition compared to both single-task conditions was associated with the presence of cognitive impairments and being a male. Furthermore, measures of intraindividual variability in neural activity and gait performance were positively correlated only under the dual-task-walk condition. Intraindividual variability in the neural activity of gait may be a novel marker for age-related impairments in mobility and cognitive function. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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Affiliation(s)
- Roee Holtzer
- Ferkauf Graduate School of Psychology, Yeshiva University
| | - Daliah Ross
- Ferkauf Graduate School of Psychology, Yeshiva University
| | - Meltem Izzetoglu
- Department of Electrical and Computer Engineering, Villanova University
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Suchy Y. Introduction to special issue: Contextually valid assessment of executive functions in the era of personalized medicine. Clin Neuropsychol 2020; 34:613-618. [PMID: 32295481 DOI: 10.1080/13854046.2020.1748827] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Affiliation(s)
- Yana Suchy
- Department of Psychology, University of Utah, Salt Lake City, UT, USA
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40
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McKinney TL, Euler MJ, Butner JE. It’s about time: The role of temporal variability in improving assessment of executive functioning. Clin Neuropsychol 2019; 34:619-642. [DOI: 10.1080/13854046.2019.1704434] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Ty L. McKinney
- Department of Psychology, University of Utah, Salt Lake City, UT, USA
| | - Matthew J. Euler
- Department of Psychology, University of Utah, Salt Lake City, UT, USA
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Niermeyer MA, Suchy Y. Walking, talking, and suppressing: Executive functioning mediates the relationship between higher expressive suppression and slower dual-task walking among older adults. Clin Neuropsychol 2019; 34:775-796. [DOI: 10.1080/13854046.2019.1704436] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
| | - Yana Suchy
- Department of Psychology, University of Utah, Salt Lake City, UT, USA
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42
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Niermeyer MA, Suchy Y. The vulnerability of executive functioning: The additive effects of recent non-restorative sleep, pain interference, and use of expressive suppression on test performance. Clin Neuropsychol 2019; 34:700-719. [DOI: 10.1080/13854046.2019.1696892] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
| | - Yana Suchy
- Department of Psychology, University of Utah, Salt Lake City, UT, USA
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Marcopulos B, Łojek E. Introduction to the special issue: Are modern neuropsychological assessment methods really "modern"? Reflections on the current neuropsychological test armamentarium. Clin Neuropsychol 2019; 33:187-199. [PMID: 30760098 DOI: 10.1080/13854046.2018.1560502] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVE We introduce this special issue which focuses on how advances in neuroscience and technology can modernize and transform clinical neuropsychological assessment. METHOD We included both invited and solicited papers to reflect on the strengths and weaknesses of currently used, standardized neuropsychological tests and to explore how we might incorporate new technologies and neuroscientific advances to modernize neuropsychological assessment methods. RESULTS The papers are organized along the following themes: (1) A critique of the current clinical neuropsychological test armamentarium; (2) A description of new opportunities for collecting neurobehavioral data with technology; (3) Digital science, biomedical big data and the internet; (4) Integrating neuropsychological, neuroimaging, and neurophysiological assessments; (5) Modernization, globalization and culture. CONCLUSION The process of modernizing methods of assessment in clinical neuropsychology is laborious and requires a coordinated, sustained effort among clinicians, researchers, and the test industry. While embracing technology is necessary, we must also be aware of unintended consequences as we navigate this exciting new territory.
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Affiliation(s)
- Bernice Marcopulos
- a Department of Graduate Psychology , James Madison University , Harrisonburg , VA , USA.,b Department of Psychiatry and Neurobehavioral Sciences , University of Virginia , Charlottesville , VA , USA
| | - Emilia Łojek
- c Faculty of Psychology , University of Warsaw , Warsaw , Poland
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