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Moustaka K, Nega C, Beratis IN. Exploring the Impact of Age of Onset of Mild Cognitive Impairment on the Profile of Cognitive and Psychiatric Symptoms. Geriatrics (Basel) 2023; 8:96. [PMID: 37887969 PMCID: PMC10606206 DOI: 10.3390/geriatrics8050096] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 09/17/2023] [Accepted: 09/22/2023] [Indexed: 10/28/2023] Open
Abstract
The present study aims to explore the differences in the manifestation of cognitive decline and psychiatric symptoms across the different ages of MCI onset: early onset (EOMCI: <65 years old), middle onset (MOMCI: 65-75 years old), and late onset (LOMCI: >75 years old). It was hypothesized that individuals with EOMCI will preserve their cognitive functions to a greater extent as compared to individuals with LOMCI, even after adjusting the cognitive performance for age and education through the use of published Greek norms. The level of cognitive decline concerning MOMCI was evaluated for extracting more precise conclusions regarding the impact of the age of onset on the patterns of MCI symptomatology. The analyses of data were conducted in a Greek population of individuals with MCI, who were consecutive visitors of the Outpatient Memory Clinic of Nestor Alzheimer's Centre in Athens, Greece. The sample consisted of 297 participants who fulfilled the following inclusion criteria: MCI diagnosis based on Petersen's criteria, Greek mother language, and absence of a psychiatric history or chronic and incurable organic disease. The overall results support the presence of a cognitive advantage of the EOMCI group compared to the LOMCI group. In the MOMCI group, cognitive performance displayed a tendency to remain intermediate compared to the other two groups. Nonetheless, significant differences were observed when this group was compared with the LOMCI group. The current findings indicate that the age of onset should be taken under consideration in the neuropsychological assessment of individuals with MCI. The specific parameters could have implications in terms of prognosis as well as the design and implementation of tailored interventions.
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Affiliation(s)
- Kleio Moustaka
- Psychology Department, The American College of Greece, Deree, 6, Gravias Street, 153 42 Athens, Greece; (K.M.); (C.N.)
- Alzheimer’s Center, “Nestor” Greek Psychogeriatric Association, 22, Ioannou Drosopoulou Street, 112 57 Athens, Greece
| | - Chrysanthi Nega
- Psychology Department, The American College of Greece, Deree, 6, Gravias Street, 153 42 Athens, Greece; (K.M.); (C.N.)
| | - Ion N. Beratis
- Psychology Department, The American College of Greece, Deree, 6, Gravias Street, 153 42 Athens, Greece; (K.M.); (C.N.)
- Alzheimer’s Center, “Nestor” Greek Psychogeriatric Association, 22, Ioannou Drosopoulou Street, 112 57 Athens, Greece
- 1st Department of Neurology, Aiginiteio University Hospital, National and Kapodistrian University of Athens, 115 28, Athens, Greece
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2
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Espenes J, Eliassen IV, Öhman F, Hessen E, Waterloo K, Eckerström M, Lorentzen IM, Bergland C, Halvari Niska M, Timón-Reina S, Wallin A, Fladby T, Kirsebom BE. Regression‐based normative data for the Rey Auditory Verbal Learning Test in Norwegian and Swedish adults aged 49–79 and comparison with published norms. Clin Neuropsychol 2022:1-25. [PMID: 35968846 DOI: 10.1080/13854046.2022.2106890] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Objective: The Rey Auditory Verbal Learning Test (RAVLT) is a widely used measure of episodic verbal memory. To our knowledge, culturally adapted and demographically adjusted norms for the RAVLT are currently not available for Norwegian and Swedish adults, and imported North American norms are often used. We here develop regression-based norms for Norwegian and Swedish adults and compare our norms to North American norms in an independent sample of cognitively healthy adults. Method: Participants were 244 healthy adults from Norway and Sweden between the aged 49 and 79 years, with between 6 and 24 years of education. Using a multiple multivariate regression-based norming procedure, we estimated effects of age, sex, and years of education on basic and derived RAVLT test scores. The newly developed norms were assessed in an independent comparison group of cognitively healthy adults (n = 145) and compared to recently published North American regression-based norms. Results: Lower age, female sex and more years of education predicted higher performance on the RAVLT. The new norms adequately adjusted for age, education, and sex in the independent comparison group. The American norms corrected for demographics on all RAVLT trials except trials 4, 7, list B, and trials 1-5 total. Test-retest (M = 2.55 years) reliability varied from poor to good. Conclusion: We propose regression-based norms for the RAVLT adjusting for pertinent demographics. The norms may be used for assessment of Norwegian and Swedish adults between the aged of 49 and 79 years, with between 6 and 24 years of education.
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Affiliation(s)
- Jacob Espenes
- Department of Psychology, Faculty of Health Sciences, The Arctic University of Norway, Tromsø, Norway
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
| | - Ingvild Vøllo Eliassen
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Fredrik Öhman
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Erik Hessen
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Knut Waterloo
- Department of Psychology, Faculty of Health Sciences, The Arctic University of Norway, Tromsø, Norway
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
| | - Marie Eckerström
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Ingrid Myrvoll Lorentzen
- Department of Psychology, Faculty of Health Sciences, The Arctic University of Norway, Tromsø, Norway
| | - Cecilie Bergland
- Department of Psychology, Faculty of Health Sciences, The Arctic University of Norway, Tromsø, Norway
| | - Madelene Halvari Niska
- Department of Psychology, Faculty of Health Sciences, The Arctic University of Norway, Tromsø, Norway
| | - Santiago Timón-Reina
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Madrid, Spain
| | - Anders Wallin
- Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Madrid, Spain
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Bjørn-Eivind Kirsebom
- Department of Psychology, Faculty of Health Sciences, The Arctic University of Norway, Tromsø, Norway
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
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Abstract
OBJECTIVE The ability to recognize others' emotions is a central aspect of socioemotional functioning. Emotion recognition impairments are well documented in Alzheimer's disease and other dementias, but it is less understood whether they are also present in mild cognitive impairment (MCI). Results on facial emotion recognition are mixed, and crucially, it remains unclear whether the potential impairments are specific to faces or extend across sensory modalities. METHOD In the current study, 32 MCI patients and 33 cognitively intact controls completed a comprehensive neuropsychological assessment and two forced-choice emotion recognition tasks, including visual and auditory stimuli. The emotion recognition tasks required participants to categorize emotions in facial expressions and in nonverbal vocalizations (e.g., laughter, crying) expressing neutrality, anger, disgust, fear, happiness, pleasure, surprise, or sadness. RESULTS MCI patients performed worse than controls for both facial expressions and vocalizations. The effect was large, similar across tasks and individual emotions, and it was not explained by sensory losses or affective symptomatology. Emotion recognition impairments were more pronounced among patients with lower global cognitive performance, but they did not correlate with the ability to perform activities of daily living. CONCLUSIONS These findings indicate that MCI is associated with emotion recognition difficulties and that such difficulties extend beyond vision, plausibly reflecting a failure at supramodal levels of emotional processing. This highlights the importance of considering emotion recognition abilities as part of standard neuropsychological testing in MCI, and as a target of interventions aimed at improving social cognition in these patients.
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Silva D, Cardoso S, Guerreiro M, Maroco J, Mendes T, Alves L, Nogueira J, Baldeiras I, Santana I, de Mendonça A. Neuropsychological Contribution to Predict Conversion to Dementia in Patients with Mild Cognitive Impairment Due to Alzheimer's Disease. J Alzheimers Dis 2021; 74:785-796. [PMID: 32083585 DOI: 10.3233/jad-191133] [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: 11/15/2022]
Abstract
BACKGROUND Diagnosis of Alzheimer's disease (AD) confirmed by biomarkers allows the patient to make important life decisions. However, doubt about the fleetness of symptoms progression and future cognitive decline remains. Neuropsychological measures were extensively studied in prediction of time to conversion to dementia for mild cognitive impairment (MCI) patients in the absence of biomarker information. Similar neuropsychological measures might also be useful to predict the progression to dementia in patients with MCI due to AD. OBJECTIVE To study the contribution of neuropsychological measures to predict time to conversion to dementia in patients with MCI due to AD. METHODS Patients with MCI due to AD were enrolled from a clinical cohort and the effect of neuropsychological performance on time to conversion to dementia was analyzed. RESULTS At baseline, converters scored lower than non-converters at measures of verbal initiative, non-verbal reasoning, and episodic memory. The test of non-verbal reasoning was the only statistically significant predictor in a multivariate Cox regression model. A decrease of one standard deviation was associated with 29% of increase in the risk of conversion to dementia. Approximately 50% of patients with more than one standard deviation below the mean in the z score of that test had converted to dementia after 3 years of follow-up. CONCLUSION In MCI due to AD, lower performance in a test of non-verbal reasoning was associated with time to conversion to dementia. This test, that reveals little decline in the earlier phases of AD, appears to convey important information concerning conversion to dementia.
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Affiliation(s)
- Dina Silva
- Cognitive Neuroscience Research Group, Department of Psychology and Educational Sciences and Centre for Biomedical Research (CBMR), Universidade do Algarve, Faro, Portugal.,Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | - Sandra Cardoso
- Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | | | - João Maroco
- Instituto Superior de Psicologia Aplicada, Lisbon, Portugal
| | - Tiago Mendes
- Faculty of Medicine, University of Lisbon, Lisbon, Portugal.,Psychiatry and Mental Health Department, Santa Maria Hospital, Lisbon, Portugal
| | - Luísa Alves
- Chronic Diseases Research Centre, NOVA Medical School, NOVA University of Lisbon, Portugal
| | - Joana Nogueira
- Department of Neurology, Dementia Clinic, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal.,Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal
| | - Inês Baldeiras
- Department of Neurology, Laboratory of Neurochemistry, Centro Hospitalar e Universitário de Coimbra.,Faculty of Medicine, University of Coimbra, Coimbra, Portugal.,Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal
| | - Isabel Santana
- Department of Neurology, Dementia Clinic, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal.,Department of Neurology, Laboratory of Neurochemistry, Centro Hospitalar e Universitário de Coimbra.,Faculty of Medicine, University of Coimbra, Coimbra, Portugal.,Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal
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Hessen E, Kirsebom BE, Eriksson CM, Eliassen CF, Nakling AE, Bråthen G, Waterloo KK, Aarsland D, Fladby T. In Brief Neuropsychological Assessment, Amnestic Mild Cognitive Impairment (MCI) Is associated with Cerebrospinal Fluid Biomarkers for Cognitive Decline in Contrast to the Prevailing NIA-AA MCI Criterion. J Alzheimers Dis 2020; 67:715-723. [PMID: 30614807 PMCID: PMC6398834 DOI: 10.3233/jad-180964] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Background: In the care of persons with cognitive problems, it is important to use a valid mild cognitive impairment (MCI) criterion that discriminates well between normal and pathological aging. Objective: To find the brief neuropsychological screening criterion that best correlates with cerebrospinal fluid (CSF) biomarkers for cognitive decline and dementia in persons seeking help for cognitive problems. Methods: 452 consecutively recruited patients (age 40–80 years) from memory-clinics in the Norwegian national multicentre longitudinal study Dementia Disease Initiation were included. CSF data as well as full data from brief neuropsychological screening were available for all patients. Results: Amnestic MCI, including at least one memory test below T-score 40, outperformed the conventional US National Institute on Aging-Alzheimer’s Association (NIA-AA) MCI criterion. Only amnestic MCI was significantly associated with biomarker pattern of NIA-AA stage 2 (low CSF Aβ42 concentrations and elevated tau) in multivariate regression analysis. Conclusions: The finding that amnestic MCI based on brief neuropsychological assessment is significantly associated with CSF biomarkers for cognitive decline and Alzheimer’s disease is in accordance with longitudinal studies that find memory impairment; both in itself and especially in combination with other cognitive deficit to constitute a risk factor for subsequent cognitive decline and dementia. The prevalence of pathological biomarkers for Alzheimer’s disease is common in the elderly and the clinical significance of present findings depend on longitudinal validation.
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Affiliation(s)
- Erik Hessen
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway.,Institute of Psychology, University of Oslo, Oslo, Norway
| | - Bjørn-Eivind Kirsebom
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway.,Department of Psychology, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø
| | - Cecilia Magdalena Eriksson
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway.,Institute of Psychology, University of Oslo, Oslo, Norway.,Department of Geriatric Psychiatry, Akershus University Hospital, Lørenskog, Norway
| | - Carl Fredrik Eliassen
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway.,Institute of Psychology, University of Oslo, Oslo, Norway
| | | | - Geir Bråthen
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Heath Sciences, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Neurology and Clinical Neurophysiology, University Hospital of Trondheim, Trondheim, Norway
| | - Knut K Waterloo
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway.,Department of Psychology, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø
| | - Dag Aarsland
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway.,Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Center for Age-Related Diseases, Stavanger University Hospital, Stavanger, Norway
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway.,Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway
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Viklund H, Ausén B, Hagman G, Thorell LB. The Executive Checklist (EC-10) - a new rating instrument for clinicians assessing dysexecutive behavior. APPLIED NEUROPSYCHOLOGY-ADULT 2019; 28:525-534. [PMID: 31526050 DOI: 10.1080/23279095.2019.1660881] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Assessment of executive functions (EF) is often criticized for its lack of ecological validity. As a consequence, several self- and partner rating scales for EF have been developed, while rating scales designed for clinicians are lacking. We therefore developed the Executive Checklist (EC-10), a new rating scale for clinicians assessing dysexecutive behavior during neuropsychological assessment and examined its psychometric properties. Consecutive referrals from a memory clinic with subjective cognitive impairment (SCI; n = 27), mild cognitive impairment (MCI; n = 29), dementia (DEM; n = 16), as well as 11 healthy controls were assessed with the EC-10 while performing common neuropsychological tests. Results showed that the EC-10 had excellent inter-rater reliability, good internal consistency and modest relations to cognitive laboratory measures. The EC-10 increased the classification rate above and beyond the influence of neuropsychological tests when comparing patients with SCI and MCI or between cognitively impaired and non-impaired patients. Conclusively, the present study demonstrates that clinical observations can be quantified using the EC-10 and that this rating provides valuable information. As executive deficits are common in many neurological and neuropsychiatric disorders, validating the EC-10 in broader patient groups should be an important avenue for future research.
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Affiliation(s)
- Henrik Viklund
- Patient Area the Aging Brain, Functional Unit Neuro and Cognition, Karolinska University Hospital, Huddinge, Sweden
| | - Birgitta Ausén
- Patient Area the Aging Brain, Functional Unit Neuro and Cognition, Karolinska University Hospital, Huddinge, Sweden
| | - Göran Hagman
- Patient Area the Aging Brain, Functional Unit Neuro and Cognition, Karolinska University Hospital, Huddinge, Sweden
| | - Lisa B Thorell
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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7
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Moreira HS, Costa AS, Machado Á, Castro SL, Lima CF, Vicente SG. Distinguishing mild cognitive impairment from healthy aging and Alzheimer's Disease: The contribution of the INECO Frontal Screening (IFS). PLoS One 2019; 14:e0221873. [PMID: 31504056 PMCID: PMC6736301 DOI: 10.1371/journal.pone.0221873] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Accepted: 08/17/2019] [Indexed: 11/18/2022] Open
Abstract
Executive functions are affected differently in healthy aging, Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD), and evaluating them is important for differential diagnosis. The INECO Frontal Screening (IFS) is a brief neuropsychological screening tool, developed to assess executive dysfunction in neurodegenerative disorders. GOALS We aimed to examine whether and how MCI patients can be differentiated from cognitively healthy controls (HC) and mild to moderate AD patients based on IFS performance. We also explored how IFS scores are associated with age, years of education, and depressive/anxious symptoms (as assessed by the Hospital Anxiety and Depression Scale). METHOD IFS total scores were compared between 26 HC, 32 MCI and 21 mild to moderate AD patients. The three groups were matched for age and education. The Area Under the Curve (AUC) was analyzed and optimal cut-offs were determined. RESULTS Healthy participants had higher IFS scores than both clinical groups, and MCI patients had higher scores than AD patients. IFS showed high diagnostic accuracy for the detection of MCI (AUC = .89, p < .001) and AD (AUC = .99, p < .001), and for the differentiation between the clinical groups (AUC = .76, p < .001). We provide optimal cut-offs for the identification of MCI and AD and for their differentiation. We also found that, in general, higher education predicted higher IFS scores (no associations with age and depressive/anxious symptoms were observed). Altogether, these findings indicate that evaluating executive functions with the IFS can be valuable for the identification of MCI, a high-risk group for dementia, and for differentiating this condition from healthy aging and AD.
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Affiliation(s)
| | - Ana Sofia Costa
- Neurocognition Unit, Department of Neurology, Hospital de Braga, Braga, Portugal
- Department of Neurology, RWTH Aachen University, Aachen, Germany
- JARA Institute Molecular Neuroscience and Neuroimaging, Aachen, Germany
| | - Álvaro Machado
- Neurocognition Unit, Department of Neurology, Hospital de Braga, Braga, Portugal
| | - São Luís Castro
- Centre for Psychology at University of Porto, Porto, Portugal
| | - César F. Lima
- Centre for Psychology at University of Porto, Porto, Portugal
- Instituto Universitário de Lisboa (ISCTE-IUL), Lisboa, Portugal
| | - Selene G. Vicente
- Centre for Psychology at University of Porto, Porto, Portugal
- * E-mail:
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Emrani S, Libon DJ, Lamar M, Price CC, Jefferson AL, Gifford KA, Hohman TJ, Nation DA, Delano-Wood L, Jak A, Bangen KJ, Bondi MW, Brickman AM, Manly J, Swenson R, Au R. Assessing Working Memory in Mild Cognitive Impairment with Serial Order Recall. J Alzheimers Dis 2019; 61:917-928. [PMID: 29254087 DOI: 10.3233/jad-170555] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Working memory (WM) is often assessed with serial order tests such as repeating digits backward. In prior dementia research using the Backward Digit Span Test (BDT), only aggregate test performance was examined. OBJECTIVE The current research tallied primacy/recency effects, out-of-sequence transposition errors, perseverations, and omissions to assess WM deficits in patients with mild cognitive impairment (MCI). METHODS Memory clinic patients (n = 66) were classified into three groups: single domain amnestic MCI (aMCI), combined mixed domain/dysexecutive MCI (mixed/dys MCI), and non-MCI where patients did not meet criteria for MCI. Serial order/WM ability was assessed by asking participants to repeat 7 trials of five digits backwards. Serial order position accuracy, transposition errors, perseverations, and omission errors were tallied. RESULTS A 3 (group)×5 (serial position) repeated measures ANOVA yielded a significant group×trial interaction. Follow-up analyses found attenuation of the recency effect for mixed/dys MCI patients. Mixed/dys MCI patients scored lower than non-MCI patients for serial position 3 (p < 0.003) serial position 4 (p < 0.002); and lower than both group for serial position 5 (recency; p < 0.002). Mixed/dys MCI patients also produced more transposition errors than both groups (p < 0.010); and more omissions (p < 0.020), and perseverations errors (p < 0.018) than non-MCI patients. CONCLUSIONS The attenuation of a recency effect using serial order parameters obtained from the BDT may provide a useful operational definition as well as additional diagnostic information regarding working memory deficits in MCI.
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Affiliation(s)
- Sheina Emrani
- Departments of Geriatrics, Gerontology and Psychology, New Jersey Institute for Successful Aging, Rowan University-School of Osteopathic Medicine, Stratford, NJ, USA
| | - David J Libon
- Departments of Geriatrics, Gerontology and Psychology, New Jersey Institute for Successful Aging, Rowan University-School of Osteopathic Medicine, Stratford, NJ, USA
| | - Melissa Lamar
- Department of Behavioral Sciences and the Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Catherine C Price
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Angela L Jefferson
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Katherine A Gifford
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Timothy J Hohman
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Daniel A Nation
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Lisa Delano-Wood
- VA San Diego Healthcare System, San Diego, CA, USA.,Department of Psychiatry, University of California, San Diego, San Diego, CA, USA
| | - Amy Jak
- VA San Diego Healthcare System, San Diego, CA, USA.,Department of Psychiatry, University of California, San Diego, San Diego, CA, USA
| | - Katherine J Bangen
- VA San Diego Healthcare System, San Diego, CA, USA.,Department of Psychiatry, University of California, San Diego, San Diego, CA, USA
| | - Mark W Bondi
- VA San Diego Healthcare System, San Diego, CA, USA.,Department of Psychiatry, University of California, San Diego, San Diego, CA, USA
| | - Adam M Brickman
- Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Jennifer Manly
- Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Rodney Swenson
- University of North Dakota School of Medicine and Health Sciences, Grand Forks, ND, USA
| | - Rhoda Au
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
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9
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Royall DR, Palmer RF. δ Scores Identify Subsets of "Mild Cognitive Impairment" with Variable Conversion Risks. J Alzheimers Dis 2019; 70:199-210. [PMID: 31127788 DOI: 10.3233/jad-190266] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The latent variable "δ" (for "dementia) is a transdiagnostic measure of dementia severity. δ can be reified and applied to individuals as a composite "d-score". Like Spearman's general intelligence factor "g", δ can be constructed from almost any cognitive battery. So many are available that we must further distinguish each composite as a δ "homolog". Fourteen have been validated. All are strongly associated with dementia severity and potentially with mild cognitive impairment (MCI) conversion. OBJECTIVES To assess δ's impact on MCI conversion risk. METHODS A new δ homolog (dDx) was constructed in 1,230 Mexican-American (MA) and 2,215 non-Hispanic White (NHW) participants in the Texas Alzheimer's Research and Care Consortium (TARCC). 1,445 normal controls (NC) and 723 MCI were followed annually for up to 6 years. RESULTS Each SD decrease in the dDx score increased the risk of conversion sixteen-fold [OR = 16.39 (CI: 5.0-52.6)]. Cases below the optimal diagnostic threshold for Alzheimer's disease (AD) versus NC were labeled as having a functionally salient cognitive impairment (FSCI). Such cases were at a 73-fold increase risk of a diagnosis of AD [OR = 73.19 (95% CI: 58.3-92.0)]. However, 25.6% of MCI cases were also FSCI(+). They accounted disproportionately for prospective conversions. Age <80 years, the absence of an ɛ4 allele, <12 years of education, and MA ethnicity independently increased the risk of diagnosing FSCI as MCI. CONCLUSION A sizable minority of MCI cases may be misdiagnosed and they account disproportionately for AD conversions.
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Affiliation(s)
- Donald R Royall
- Departments of Psychiatry, The University of Texas Health Science Center, San Antonio, TX, USA
- Departments of Medicine, The University of Texas Health Science Center, San Antonio, TX, USA
- Departments of Family and Community Medicine, the University of Texas Health Science Center, San Antonio, TX, USA
- South Texas Veterans' Health System Audie L. Murphy Division GRECC, San Antonio, TX, USA
| | - Raymond F Palmer
- Departments of Family and Community Medicine, the University of Texas Health Science Center, San Antonio, TX, USA
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10
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Eliassen CF, Reinvang I, Selnes P, Fladby T, Hessen E. Convergent Results from Neuropsychology and from Neuroimaging in Patients with Mild Cognitive Impairment. Dement Geriatr Cogn Disord 2018; 43:144-154. [PMID: 28152536 DOI: 10.1159/000455832] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/04/2017] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIMS To investigate the correspondence between neuropsychological single measures and variation in fludeoxyglucose positron emission tomography (FDG PET) glucose metabolism and magnetic resonance imaging (MRI) cortical thickness in mild cognitive impairment (MCI) patients. METHODS Forty-two elderly controls and 73 MCI subjects underwent FDG PET and MRI scanning. Backward regression analyses with PET and MRI regions were used as dependent variables, while Rey Auditory Verbal Memory Test (RAVLT) recall, Trail Making Test B (TMT B), and a composite test score (RAVLT learning and immediate recall, TMT A, COWAT, and letter-number sequencing) were used as predictor variables. RESULTS The composite score predicted variation in cortical metabolism; supplementary analyses showed that TMT B was significantly correlated with PET metabolism as well. RAVLT and TMT B were significant predictors of variation in MRI cortical thickness. CONCLUSION Our results indicate that RAVLT and TMT B are sensitive to variation in Alzheimer disease neuroimaging markers.
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11
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Hessen E, Stav AL, Auning E, Selnes P, Blomsø L, Holmeide CE, Johansen KK, Eliassen CF, Reinvang I, Fladby T, Aarsland D. Neuropsychological Profiles in Mild Cognitive Impairment due to Alzheimer's and Parkinson's Diseases. JOURNAL OF PARKINSONS DISEASE 2017; 6:413-21. [PMID: 27061068 PMCID: PMC4927809 DOI: 10.3233/jpd-150761] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background: Neuropsychological comparisons between patients with mild cognitive impairment due to Parkinson’s disease (MCI-PD) and Alzheimer’s disease (MCI-AD) is mostly based on indirect comparison of patients with these disorders and normal controls (NC). Objective: The focus of this study was to make a direct comparison between patients with these diseases. Methods: The study compared 13 patients with MCI-PD and 19 patients with MCI-AD with similar age, education and gender. The participants were recruited and assessed at the same university clinic with equal methods. Results: The main finding was that on group level, MCI-AD scored significantly poorer on learning and memory tests than MCI-PD, whereas MCI-PD were impaired on 1 of 3 measures of executive functioning. Conclusion: MCI-AD performed poorer learning and memory tests, whereas MCI-PD only scored below the employed cut-off on one single executive test. In general, MCI-PD was noticeably less cognitively impaired than MCI-AD.
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Affiliation(s)
- Erik Hessen
- Department of Neurology, Akershus University Hospital, Lorenskog, Norway.,Department of Psychology, University of Oslo, Norway
| | - Ane Løvli Stav
- Department of Neurology, Akershus University Hospital, Lorenskog, Norway
| | - Eirik Auning
- Department of Geriatric Psychiatry, Akershus University Hospital, Lorenskog, Norway
| | - Per Selnes
- Department of Neurology, Akershus University Hospital, Lorenskog, Norway
| | - Linn Blomsø
- Department of Psychology, University of Oslo, Norway
| | | | | | - Carl Fredrik Eliassen
- Department of Neurology, Akershus University Hospital, Lorenskog, Norway.,Department of Psychology, University of Oslo, Norway
| | - Ivar Reinvang
- Department of Psychology, University of Oslo, Norway
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, Lorenskog, Norway.,Institute of Clinical Medicine, Campus Ahus, University of Oslo, Norway
| | - Dag Aarsland
- Alzheimer's Disease Research Centre, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Novum, Stockholm, Sweden.,Center for Age-Related Diseases, Stavanger University Hospital, Stavanger, Norway
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Hessen E, Eckerström M, Nordlund A, Selseth Almdahl I, Stålhammar J, Bjerke M, Eckerström C, Göthlin M, Fladby T, Reinvang I, Wallin A. Subjective Cognitive Impairment Is a Predominantly Benign Condition in Memory Clinic Patients Followed for 6 Years: The Gothenburg-Oslo MCI Study. Dement Geriatr Cogn Dis Extra 2017; 7:1-14. [PMID: 28413412 PMCID: PMC5346963 DOI: 10.1159/000454676] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2016] [Accepted: 11/15/2016] [Indexed: 12/21/2022] Open
Abstract
Background/Aims In the quest for prevention or treatment, there is a need to find early markers for preclinical dementia. This study observed memory clinic patients with subjective cognitive impairment (SCI) and normal cognitive function at baseline. The primary aim was to address SCI as a potential risk factor for cognitive decline. The secondary aim was to address a potential relation between (1) baseline cerebrospinal fluid biomarkers and (2) a decline in memory performance over the first 2 years of follow-up, with a possible cognitive decline after 6 years. Methods Eighty-one patients (mean age 61 years) were recruited from university memory clinics and followed up for 6 years. Results Eighty-six percent of the cohort remained cognitively stable or improved, 9% developed mild cognitive impairment, and only 5% (n = 4) developed dementia. Regression analysis revealed that low levels of Aβ42 at baseline and memory decline during the first 2 years predicted dementia. When combined, these variables were associated with a 50% risk of developing dementia. Conclusions Cognitive stability for 86% of the cohort suggests that SCI is predominantly a benign condition with regard to neuropathology. The low number of individuals who developed dementia limits the generalizability of the results and discussion of progression factors.
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Affiliation(s)
- Erik Hessen
- Department of Neurology, Akershus University Hospital, Oslo, Norway.,Clinical Neuroscience Research Group, Department of Psychology, University of Oslo, Oslo, Norway
| | - Marie Eckerström
- Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
| | - Arto Nordlund
- Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
| | | | - Jacob Stålhammar
- Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
| | - Maria Bjerke
- Reference Center for Biological Markers of Dementia, Department of Biomedical Sciences, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Carl Eckerström
- Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
| | - Mattias Göthlin
- Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, Oslo, Norway.,Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Ivar Reinvang
- Clinical Neuroscience Research Group, Department of Psychology, University of Oslo, Oslo, Norway
| | - Anders Wallin
- Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
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Hessen E, Nordlund A, Stålhammar J, Eckerström M, Bjerke M, Eckerström C, Göthlin M, Fladby T, Reinvang I, Wallin A. T-Tau is Associated with Objective Memory Decline Over Two Years in Persons Seeking Help for Subjective Cognitive Decline: A Report from the Gothenburg-Oslo MCI Study. J Alzheimers Dis 2016; 47:619-28. [PMID: 26401697 DOI: 10.3233/jad-150109] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND There is a need to find very early markers for pre-clinical Alzheimer's disease as interventions early in the disease process are thought to be most effective. OBJECTIVE The present study aimed to address the potential relation between cerebrospinal fluid (CSF) biomarkers and reduced cognitive function in a relatively young cohort of memory clinic patients with subjective cognitive decline. METHODS 122 patients (mean age 63 years) with subjective cognitive decline were recruited from two university memory clinics and followed for two years. RESULTS The main finding was that the subgroup with objective memory decline during the study period had significantly higher T-tau at baseline than the group with improved memory. Baseline CSF variables showed a trend toward more pathological values in the patients with memory decline compared to those who improved or remained stable. The baseline memory score of those who declined was significantly better than the baseline score of those who improved over two years. The general trend for the whole group was improved memory and executive test scores. There were no differences in cognitive scores based on CSF quartiles at baseline, nor were there differences in cognitive outcome for patients with early amnestic mild cognitive impairment versus average cognitive function at baseline. CONCLUSIONS The main finding that T-tau rather than amyloid-β was associated with memory decline do not support the prevailing opinion about the chain of events assumed to take place in Alzheimer's disease. In addition, memory decline was not associated with poor baseline memory score. Thus, a memory cut-off indicating low baseline memory would not would have identified the declining group.
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Affiliation(s)
- Erik Hessen
- Department of Neurology, Akershus University Hospital, Oslo, Norway.,Clinical Neuroscience Research Group, Department of Psychology, University of Oslo, Oslo, Norway
| | - Arto Nordlund
- Institute of Neuroscience and Physiology, Sahlgrenska Academy at Gothenburg, University, Mölndal, Sweden
| | - Jacob Stålhammar
- Institute of Neuroscience and Physiology, Sahlgrenska Academy at Gothenburg, University, Mölndal, Sweden
| | - Marie Eckerström
- Institute of Neuroscience and Physiology, Sahlgrenska Academy at Gothenburg, University, Mölndal, Sweden
| | - Maria Bjerke
- Institute of Neuroscience and Physiology, Sahlgrenska Academy at Gothenburg, University, Mölndal, Sweden
| | - Carl Eckerström
- Institute of Neuroscience and Physiology, Sahlgrenska Academy at Gothenburg, University, Mölndal, Sweden
| | - Mattias Göthlin
- Institute of Neuroscience and Physiology, Sahlgrenska Academy at Gothenburg, University, Mölndal, Sweden
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, Oslo, Norway.,Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Ivar Reinvang
- Clinical Neuroscience Research Group, Department of Psychology, University of Oslo, Oslo, Norway
| | - Anders Wallin
- Institute of Neuroscience and Physiology, Sahlgrenska Academy at Gothenburg, University, Mölndal, Sweden
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Eliassen CF, Selnes P, Selseth Almdahl I, Reinvang I, Fladby T, Hessen E. Hippocampal Subfield Atrophy in Multi-Domain but Not Amnestic Mild Cognitive Impairment. Dement Geriatr Cogn Disord 2016; 40:44-53. [PMID: 25924735 DOI: 10.1159/000381142] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/17/2015] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIMS To investigate differences in hippocampal (HP) subfields and the adjoining perirhinal and entorhinal cortices (PRC and ERC) between amnestic mild cognitive impairment (aMCI) and multi-domain amnestic MCI (mdMCI) patients, and controls. METHODS Nineteen patients characterized as aMCI were compared with 24 mdMCI patients and 31 controls by means of an automatic HP segmentation procedure. RESULTS We found significant atrophy of the PRC and ERC in aMCI relative to controls, whereas a more pronounced pattern of atrophy in most subfields, including total HP volume, was found in the mdMCI group. The mdMCI group also had a significant cornu ammonis sector 4 region with dentate gyrus, subiculum and total HP atrophy relative to aMCI. CONCLUSION The aMCI group showed atrophy in the PRC and ERC, whereas significantly more affection of the HP subfields was evident in mdMCI. The mdMCI group may thus represent clinical progression relative to aMCI coupled with HP subfield affection.
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