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Gorji A, Fathi Jouzdani A. Machine learning for predicting cognitive decline within five years in Parkinson's disease: Comparing cognitive assessment scales with DAT SPECT and clinical biomarkers. PLoS One 2024; 19:e0304355. [PMID: 39018311 PMCID: PMC11253925 DOI: 10.1371/journal.pone.0304355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 05/08/2024] [Indexed: 07/19/2024] Open
Abstract
OBJECTIVE Parkinson's disease (PD) is an age-related neurodegenerative condition characterized mostly by motor symptoms. Although a wide range of non-motor symptoms (NMS) are frequently experienced by PD patients. One of the important and common NMS is cognitive impairment, which is measured using different cognitive scales. Monitoring cognitive impairment and its decline in PD is essential for patient care and management. In this study, our goal is to identify the most effective cognitive scale in predicting cognitive decline over a 5-year timeframe initializing clinical biomarkers and DAT SPECT. METHODS Machine Learning has previously shown superior performance in image and clinical data classification and detection. In this study, we propose to use machine learning with different types of data, such as DAT SPECT and clinical biomarkers, to predict PD-CD based on various cognitive scales. We collected 330 DAT SPECT images and their clinical data in baseline, years 2,3,4, and 5 from Parkinson's Progression Markers Initiative (PPMI). We then designed a 3D Autoencoder to extract deep radiomic features (DF) from DAT SPECT images, and we then concatenated it with 17 clinical features (CF) to predict cognitive decline based on Montreal Cognitive Assessment (MoCA) and The Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS-I). RESULTS The utilization of MoCA as a cognitive decline scale yielded better performance in various years compared to MDS-UPDRS-I. In year 4, the application of the deep radiomic feature resulted in the highest achievement, with a cross-validation AUC of 89.28, utilizing the gradient boosting classifier. For the MDS-UPDRS-I scale, the highest achievement was obtained by utilizing the deep radiomic feature, resulting in a cross-validation AUC of 81.34 with the random forest classifier. CONCLUSIONS The study findings indicate that the MoCA scale may be a more effective predictor of cognitive decline within 5 years compared to MDS-UPDRS-I. Furthermore, deep radiomic features had better performance compared to sole clinical biomarkers or clinical and deep radiomic combined. These results suggest that using the MoCA score and deep radiomic features extracted from DAT SPECT could be a promising approach for identifying individuals at risk for cognitive decline in four years. Future research is needed to validate these findings and explore their utility in clinical practice.
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Affiliation(s)
- Arman Gorji
- Department of Neuroscience, School of Science and Advanced Technologies in Medicine, Neuroscience and Artificial Intelligence Research Group (NAIRG), Hamadan University of Medical Sciences, Hamadan, Iran
- USERN Office, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Ali Fathi Jouzdani
- Department of Neuroscience, School of Science and Advanced Technologies in Medicine, Neuroscience and Artificial Intelligence Research Group (NAIRG), Hamadan University of Medical Sciences, Hamadan, Iran
- USERN Office, Hamadan University of Medical Sciences, Hamadan, Iran
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Ratajska AM, Scott BM, Lopez FV, Kenney LE, Foote KD, Okun MS, Price C, Bowers D. Differential contributions of depression, apathy, and anxiety to neuropsychological performance in Parkinson's disease versus essential tremor. J Clin Exp Neuropsychol 2022; 44:651-664. [PMID: 36600515 PMCID: PMC10013508 DOI: 10.1080/13803395.2022.2157796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 12/07/2022] [Indexed: 01/06/2023]
Abstract
INTRODUCTION Mood symptoms are common features of Parkinson's disease (PD) and essential tremor (ET) and have been linked to worse cognition. The goals of the present study were to compare the severity of anxiety, apathy, and depressive symptoms in PD, ET, and healthy controls (HC) and to examine differential relationships between mood and cognition. METHOD Older adults with idiopathic PD (N = 448), ET (N = 128), or HC (N = 136) completed a multi-domain neuropsychological assessment consisting of memory, executive function, and attention/working memory domains. Participants also completed self-reported mood measures. Between-group differences in mood and cognition were assessed, and hierarchical regression models were conducted to examine relationships between mood and cognition in each group. RESULTS Relative to the HC group, the PD and ET groups reported more mood symptoms and scored lower across all cognitive measures. There were no differences between the two movement disorder groups. Mood variables explained 3.9-13.7% of the total variance in cognitive domains, varying by disease group. For PD, apathy was the only unique predictor of executive function (β = -.114, p = .05), and trait anxiety was the only unique predictor of attention/working memory (β = -.188, p < .05). For ET, there were no unique predictors, though the overall models significantly predicted performance in the executive function and attention/working memory domains. CONCLUSIONS In a large cohort of ET and PD, we observed that the two groups had similar self-reported mood symptoms. Mood symptoms were differentially associated with cognition in PD versus ET. In PD, increased apathy was associated with worse executive function and higher trait anxiety predicted worse attention/working memory. For ET, there were no unique predictors, though the overall mood symptom severity was related to cognition. Our study highlights the importance of considering the relationship between mood and neuropsychological performance in individuals with movement disorders.
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Affiliation(s)
- Adrianna M. Ratajska
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL
| | - Bonnie M. Scott
- Department of Neurology, Dell Medical School, The University of Texas at Austin, Austin, TX
| | - Francesca V. Lopez
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL
| | - Lauren E. Kenney
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL
| | - Kelly D. Foote
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL
| | - Michael S. Okun
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL
| | - Catherine Price
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL
| | - Dawn Bowers
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL
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Ratajska AM, Lopez FV, Kenney L, Jacobson C, Foote KD, Okun MS, Bowers D. Cognitive subtypes in individuals with essential tremor seeking deep brain stimulation. Clin Neuropsychol 2022; 36:1705-1727. [PMID: 33567972 PMCID: PMC8966432 DOI: 10.1080/13854046.2021.1882578] [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] [Received: 09/02/2020] [Accepted: 01/21/2021] [Indexed: 01/27/2023]
Abstract
Objective: Essential tremor (ET) is a common neurological disorder that has been associated with 60% increased risk of developing dementia. The goals of the present study were to: (a) learn whether individuals with advanced ET symptoms seeking deep brain stimulation (DBS) surgery would fall into distinct cognitive subgroups, and (b) learn how empirically derived subgroups map onto criteria for mild cognitive impairment (MCI). Method: Patients with ET (N = 201; mean age = 68.9 ± 8.9 years) undergoing pre-surgical evaluation for DBS completed a multi-domain neurocognitive assessment consisting of memory, executive function, visuospatial skill, language, and processing speed. Two cluster analytic approaches (K-means, hierarchical) were independently conducted to classify cognitive patterns using domain composites. Demographics, clinical characteristics, and proportion of cases meeting neuropsychologically defined criteria for MCI were examined among clusters. Results: A three-cluster solution reflected a Low Executive group (N = 64), Low Memory Multi-Domain group (N = 41), and Cognitively Normal group (N = 96). The Cognitively Normal group was older and more educated, with a higher Dementia Rating Scale-2 score. In total, 27.4% of participants met criteria for MCI. Of the MCI cases, most were in the Low Executive (41.8%) or Low Memory Multi-Domain groups (49.1%). In the latter, 65.9% of its members were classified as MCI versus 35.9% in the Low Executive group. Conclusions: Our study identified three cognitive subtypes of ET patients presenting for DBS. Future work should examine the subgroups for progression to dementia, particularly the Low Memory Multi-Domain subgroup which may be at highest risk.
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Affiliation(s)
- Adrianna M. Ratajska
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL
| | - Francesca V. Lopez
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL
| | - Lauren Kenney
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL
| | - Charles Jacobson
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL
| | - Kelly D. Foote
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL
| | - Michael S. Okun
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL
| | - Dawn Bowers
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL
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Shaheen S, Ali RM, Farghaly M, El-Serafy O, Hegazy MI. Screening for non-motor symptoms in Egyptian patients with Parkinson’s disease. THE EGYPTIAN JOURNAL OF NEUROLOGY, PSYCHIATRY AND NEUROSURGERY 2022. [DOI: 10.1186/s41983-022-00541-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Most of the patients with Parkinson’s disease (PD) suffer from non-motor symptoms (NMS). Despite their marked effect on patients’ quality of life, NMS remain under-estimated by physicians, patients and caregivers. The aim of this study was to suggest a battery to screen for the presence of NMS in PD patients in the setting of an outpatient clinic and to assess the NMS of PD in Egyptian patients and factors affecting them.
Results
This study was conducted on 50 patients with PD, 35 males (70%) and 15 females (30%) whom their age ranged from 36 to 80 years with a mean of 62.88 ± 8.74 years. All patients were assessed using the Movement Disorder Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS), Apathy Scale (AS), Montreal Cognitive Assessment (MOCA), Hamilton Depression Rating Scale (HDRS) and Parkinson’s Disease Sleep Scale (PDSS). The mean age at disease onset was 59.10 ± 9.34 years and the mean disease duration was 3.76 ± 3.16 years. 98% of patients (49 out of 50) had at least one non-motor symptom. The mean MDS-UPDRS scores were 15.74 ± 7.93 for part I, 17.94 ± 11.61 for part II and 42.32 ± 22.74 for part III. The mean score for AS was 9.90 ± 10.66 with 70% of patients considered apathetic. The mean MOCA score was 21.12 ± 4.73 with 38 patients (76%) found to be cognitively impaired. The mean HDRS score was 12.26 ± 8.52 with 34 patients (68%) found to be depressed. The mean PDSS score was 92.22 ± 32.53 with sleep disturbances found in 38 patients (76%). A statistically significant negative correlation was found between the HDRS and PDSS scores (P value < 0.001). Age of patients, age at disease onset and disease duration were not correlated to MDS-UPDRS, AS, MOCA, HDRS and PDSS scores.
Conclusions
Most of the patients with PD were found to suffer from NMS including apathy, cognitive impairment, depression and sleep disturbances. Physicians need to screen their PD patients for NMS on regular basis using the appropriate tools. Self-administered questionnaires could function as reliable screening tools for NMS in PD patients.
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Timblin H, Rahmani E, Ryczek CA, Hill CR, Jones JD. Physical inactivity links depressive symptoms and cognitive functioning among individuals with Parkinson's disease. Neuropsychology 2022; 36:505-512. [PMID: 35737532 PMCID: PMC9620779 DOI: 10.1037/neu0000837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
OBJECTIVE Parkinson's disease (PD) is a neurodegenerative disorder caused by disruption of dopamine-producing cells. PD is associated with motor symptoms and nonmotor symptoms including depression and cognitive impairment. Past research suggests an association between depression and cognitive impairment in PD. Physical activity may have a therapeutic effect on both depression and cognitive impairment. The present study investigates if physical activity mediates the association between depressive symptoms and cognition in a longitudinal sample of individuals with PD. METHOD Participants include individuals newly diagnosed with PD (N = 487) enrolled in the Parkinson's Progression Marker Initiative (PPMI). Participants completed an array of neuropsychological tests over the course of 5 years, as well as questionnaires of depression and physical activity. Between-person and within-person effects of depression and cognition mediated through physical activity were analyzed using structural equation modeling. RESULTS A significant direct effect demonstrated depression was associated with worse global cognitive functioning. Furthermore, there was a significant indirect within-person effect, indicating that physical activity fully mediated the association between depression and cognition. Individuals who became more depressed over time became less physically active and subsequently experienced cognitive decline over the 5-year period. CONCLUSIONS Findings have implications for prognostic detection and/or the role of physical activity interventions to buffer effects of depression on cognitive impairment among individuals diagnosed with PD. Physical interventions may potentially be implemented among depressed persons to preserve cognitive functioning. Worsened depression early during PD may be a risk factor for inactivity and cognitive diminishment. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Prange S, Klinger H, Laurencin C, Danaila T, Thobois S. Depression in Patients with Parkinson's Disease: Current Understanding of its Neurobiology and Implications for Treatment. Drugs Aging 2022; 39:417-439. [PMID: 35705848 PMCID: PMC9200562 DOI: 10.1007/s40266-022-00942-1] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/09/2022] [Indexed: 12/11/2022]
Abstract
Depression is one of the most frequent and burdensome non-motor symptoms in Parkinson’s disease (PD), across all stages. Even when its severity is mild, PD depression has a great impact on quality of life for these patients and their caregivers. Accordingly, accurate diagnosis, supported by validated scales, identification of risk factors, and recognition of motor and non-motor symptoms comorbid to depression are critical to understanding the neurobiology of depression, which in turn determines the effectiveness of dopaminergic drugs, antidepressants and non-pharmacological interventions. Recent advances using in vivo functional and structural imaging demonstrate that PD depression is underpinned by dysfunction of limbic networks and monoaminergic systems, depending on the stage of PD and its associated symptoms, including apathy, anxiety, rapid eye movement sleep behavior disorder (RBD), cognitive impairment and dementia. In particular, the evolution of serotonergic, noradrenergic, and dopaminergic dysfunction and abnormalities of limbic circuits across time, involving the anterior cingulate and orbitofrontal cortices, amygdala, thalamus and ventral striatum, help to delineate the variable expression of depression in patients with prodromal, early and advanced PD. Evidence is accumulating to support the use of dual serotonin and noradrenaline reuptake inhibitors (desipramine, nortriptyline, venlafaxine) in patients with PD and moderate to severe depression, while selective serotonin reuptake inhibitors, repetitive transcranial magnetic stimulation and cognitive behavioral therapy may also be considered. In all patients, recent findings advocate that optimization of dopamine replacement therapy and evaluation of deep brain stimulation of the subthalamic nucleus to improve motor symptoms represents an important first step, in addition to physical activity. Overall, this review indicates that increasing understanding of neurobiological changes help to implement a roadmap of tailored interventions for patients with PD and depression, depending on the stage and comorbid symptoms underlying PD subtypes and their prognosis.
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Affiliation(s)
- Stéphane Prange
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, NS-PARK/FCRIN Network, 59 Boulevard Pinel, 69500, Bron, France. .,Physiopathology of the Basal Ganglia Team, Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, 67 Boulevard Pinel, 69675, Bron, France. .,Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
| | - Hélène Klinger
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, NS-PARK/FCRIN Network, 59 Boulevard Pinel, 69500, Bron, France
| | - Chloé Laurencin
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, NS-PARK/FCRIN Network, 59 Boulevard Pinel, 69500, Bron, France.,Physiopathology of the Basal Ganglia Team, Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, 67 Boulevard Pinel, 69675, Bron, France
| | - Teodor Danaila
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, NS-PARK/FCRIN Network, 59 Boulevard Pinel, 69500, Bron, France.,Physiopathology of the Basal Ganglia Team, Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, 67 Boulevard Pinel, 69675, Bron, France
| | - Stéphane Thobois
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, NS-PARK/FCRIN Network, 59 Boulevard Pinel, 69500, Bron, France. .,Physiopathology of the Basal Ganglia Team, Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, 67 Boulevard Pinel, 69675, Bron, France. .,Faculté de Médecine et de Maïeutique Lyon Sud Charles Mérieux, Univ Lyon, Université Claude Bernard Lyon 1, Oullins, France.
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Austgen G, Marsh L. Cognitive dysfunction and neuropsychiatric aspects of Parkinson's disease. PROGRESS IN BRAIN RESEARCH 2022; 269:59-90. [PMID: 35248207 DOI: 10.1016/bs.pbr.2022.01.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Movement abnormalities, by definition, and cognitive changes, to varying extents, affect every patient with Parkinson's disease (PD) and are attributed to the underlying neurodegenerative disease. Various psychiatric disorders occur in most patients at some point over the course of PD, including in the prodromal phase. Even though psychiatric disturbances tend to aggravate motor and cognitive deficits, they are under-recognized and under-treated, and the role of the underlying neurological disease is often minimized. To provide an integrated approach to understanding neuropsychiatric aspects of PD, this chapter reviews how cognitive changes in PD relate to the common psychiatric disturbances in PD along with the prevalence, phenomenology, pathophysiology, and treatment of each.
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Affiliation(s)
- Gabriela Austgen
- Behavioral Neurology & Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States
| | - Laura Marsh
- Mental Health Care Line, Michael E. DeBakey Veterans Affairs Medical Center, Professor, Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences and Department of Neurology, Baylor College of Medicine, Houston, TX, United States.
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Toloraia K, Meyer A, Beltrani S, Fuhr P, Lieb R, Gschwandtner U. Anxiety, Depression, and Apathy as Predictors of Cognitive Decline in Patients With Parkinson's Disease-A Three-Year Follow-Up Study. Front Neurol 2022; 13:792830. [PMID: 35211081 PMCID: PMC8860828 DOI: 10.3389/fneur.2022.792830] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 01/10/2022] [Indexed: 12/31/2022] Open
Abstract
Objective Anxiety, depression, and apathy are the most common neuropsychiatric symptoms in Parkinson's disease (PD) patients. They impair cognitive functioning and have a profound impact on quality of life. This follow-up study aims to investigate the predictive value of anxiety, depression, and apathy on the development of Mild Cognitive Impairment (MCI) in PD patients. Methods Twenty-nine cognitively unimpaired PD patients (mean age 68.2 SD ± 7.12 years; 13 women) participated in this study. At Baseline (BL) levels of apathy (Apathy Evaluation Scale, AES), depression (Beck Depression Inventory, BDI-II), and anxiety (Beck Anxiety Inventory, BAI), were assessed. Cognitive status was reassessed three years later according to MCI/non-MCI status. For statistics, we used binary logistic regression and receiver operating characteristic curve (ROC) analysis to examine anxiety, apathy, and depression at BL as a predictor of MCI status three years later. Results Eight of the 29 patients developed MCI. Anxiety level at BL was found to predict MCI status at three-year follow-up (OR = 1.20, CI = 1.02–1.41, p = 0.02), while depression (OR = 1.16, CI = 0.93–1.47, p = 0.20) and apathy (OR = 1.06, CI = 0.92–1.23, p = 0.40) did not predict MCI status. The area under the ROC curve (AUC) of BAI for discriminating PD-non-MCI from PD-MCI was 0.79 (CI = 0.61–0.98). The optimal classification threshold yielded a sensitivity of 75.0 % and a specificity of 76.2 %. Neither apathy nor depression at BL discriminated between PD-non-MCI patients from PD-MCI three years later. Conclusions This study shows an association between anxiety and the development of MCI in PD patients, although the association between apathy, depression, and MCI did not reach a significant level.
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Affiliation(s)
- Ketevan Toloraia
- Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Antonia Meyer
- Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Selina Beltrani
- Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Peter Fuhr
- Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Roselind Lieb
- Division of Clinical Psychology and Epidemiology, Department of Psychology, University of Basel, Basel, Switzerland
| | - Ute Gschwandtner
- Department of Neurology, University Hospital Basel, Basel, Switzerland
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Meta-Analysis of Cognition in Parkinson's Disease Mild Cognitive Impairment and Dementia Progression. Neuropsychol Rev 2021; 32:149-160. [PMID: 33860906 DOI: 10.1007/s11065-021-09502-7] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 03/24/2021] [Indexed: 12/19/2022]
Abstract
Mild cognitive changes, including executive dysfunction, are seen in Parkinson's Disease (PD). Approximately 30% of individuals with PD develop Parkinson's disease dementia (PDD). Mild cognitive impairment (MCI) has been identified as a transitional state between normal cognition and dementia. Although PD-MCI and its cognitive correlates have been increasingly studied as a risk indicator for development of PDD, investigations into the PD-MCI construct have yielded heterogeneous findings. Thus, a typical PD-MCI cognitive profile remains undefined. The present meta-analysis examined published cross-sectional studies of PD-MCI and cognitively normal PD (PD-CN) groups to provide aggregated effect sizes of group test performance by cognitive domain. Subsequently, longitudinal studies examining PD-MCI to PDD progression were meta-analyzed. Ninety-two cross-sectional articles of PD-MCI vs. PD-CN were included; 5 longitudinal studies of PD-MCI conversion to PDD were included. Random effects meta-analytic models were constructed resulting in effect sizes (Hedges' g) for cognitive domains. Overall performance across all measures produced a large effect size (g = 0.83, 95% CI [0.79, 0.86], t2 = 0.18) in cross-sectional analyses, with cognitive screeners producing the largest effect (g = 1.09, 95% CI [1.00, 1.17], t2 = 0.19). Longitudinally, overall measures produced a moderate effect (g = 0.47, 95% CI [0.40, 0.53], t2 = 0.01), with measures of executive functioning exhibiting the largest effect (g = 0.70, 95% CI [0.51, 0.89], t2 = 0.01). Longitudinal effects were made more robust by low heterogeneity. This report provides the first comprehensive meta-analysis of PD-MCI cognitive outcomes and predictors in PD-MCI conversion to PDD. Limitations include heterogeneity of cross-sectional effect sizes and the potential impact of small-study effects. Areas for continued research include visuospatial skills and visual memory in PD-MCI and longitudinal examination of executive dysfunction in PD-MCI.
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Feliciano JS, Rodrigues SMA, de Carvalho Lana R, Polese JC. Predictors of physical activity levels in individuals with Parkinson's disease: a cross-sectional study. Neurol Sci 2021; 42:1499-1505. [PMID: 32870459 DOI: 10.1007/s10072-020-04701-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 08/28/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND To investigate whether modifiable predictors (depressive symptoms, impairment in behavior and mood, balance impairments, and knee extensor muscle strength) are determinants of the physical activity level in Parkinson's disease. MATERIALS AND METHODS A cross-sectional study with individuals diagnosed with idiopathic Parkinson's disease. Regression analysis of the data was used to investigate whether depressive symptoms, impairments in behavior and mood, balance impairments, or dominant knee extensor muscle strength are predictors of physical activity levels in Parkinson's disease. RESULTS A total of 50 individuals with mild to moderate Parkinson's disease participated in this study, with a mean age of 67 ± 8 years and 68% male. Balance impairments explained 29% of the variation in the physical activity levels. The explained variance increased to 34% when depressive symptoms were included in the model. CONCLUSION Among the predictor variables investigated in our study, only balance impairments and depressive symptoms explained the variance in physical activity levels in individuals with Parkinson's disease.
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Affiliation(s)
- Jéssica Soares Feliciano
- Department of Physiotherapy, Faculdade Ciências Médicas de Minas Gerais, Alameda Ezequiel Dias, 275, Centro, Belo Horizonte, MG, 30120-010, Brazil
| | - Samara Maria Alves Rodrigues
- Department of Physiotherapy, Faculdade Ciências Médicas de Minas Gerais, Alameda Ezequiel Dias, 275, Centro, Belo Horizonte, MG, 30120-010, Brazil
| | - Raquel de Carvalho Lana
- Department of Physiotherapy, Faculdade Ciências Médicas de Minas Gerais, Alameda Ezequiel Dias, 275, Centro, Belo Horizonte, MG, 30120-010, Brazil
| | - Janaine Cunha Polese
- Department of Physiotherapy, Faculdade Ciências Médicas de Minas Gerais, Alameda Ezequiel Dias, 275, Centro, Belo Horizonte, MG, 30120-010, Brazil.
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The Relationship Between Anxiety Disorders and Parkinson's Disease: Clinical and Therapeutic Issues. Curr Psychiatry Rep 2021; 23:20. [PMID: 33660146 DOI: 10.1007/s11920-021-01229-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/19/2021] [Indexed: 10/22/2022]
Abstract
PURPOSE OF REVIEW This paper seeks to describe anxiety's different symptomatologic presentations in Parkinson's disease (PD), its longitudinal course and predictors, as well as its motor and non-motor correlates. It also reviews the available screening tools and different treatment modalities. RECENT FINDINGS In PD, longitudinal predictors of anxiety are mostly non-motor non-dopaminergic symptoms. The longitudinal course of anxiety is mainly a stable one. The Parkinson Anxiety Scale and the Geriatric Anxiety Scale are the 2 recommended screening tools. A third of PD patients suffer from an anxiety disorder at any time point. It can precede or follow PD motor symptoms. Anxiety is associated with demographic, disease-related motor and non-motor features. There is a lack of studies evaluating psychotropic treatment of anxiety in PD. Adjustment of dopaminergic treatment is indicated when anxiety is associated with motor fluctuations. DBS can be useful as well as CBT and body-mind interventions.
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Abstract
Recent epidemiological evidence indicates that diagnosis of attention-deficit/hyperactivity disorder (ADHD) is associated with increased risk for diseases of the basal ganglia and cerebellum, including Parkinson's disease (PD). The evidence reviewed here indicates that deficits in striatal dopamine are a shared component of the causal chains that produce these disorders. Neuropsychological studies of adult ADHD, prodromal PD, and early-stage PD reveal similar deficits in executive functions, memory, attention, and inhibition that are mediated by similar neural substrates. These and other findings are consistent with the possibility that ADHD may be part of the PD prodrome. The mechanisms that may mediate the association between PD and ADHD include neurotoxic effects of stimulants, other environmental exposures, and Lewy pathology. Understanding the nature of the association between PD and ADHD may provide insight into the etiology and pathogenesis of both disorders. The possible contribution of stimulants to this association may have important clinical and public health implications.
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Jones JD, Uribe C, Bunch J, Thomas KR. Beyond PD-MCI: objectively defined subtle cognitive decline predicts future cognitive and functional changes. J Neurol 2021; 268:337-345. [PMID: 32804281 PMCID: PMC7855683 DOI: 10.1007/s00415-020-10163-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 08/10/2020] [Accepted: 08/12/2020] [Indexed: 11/24/2022]
Abstract
OBJECTIVE Cognitive impairment is prevalent among individuals with Parkinson's disease (PD). Effort has been made to identify individuals at risk for cognitive decline and dementia. Objectively-defined subtle cognitive decline (Obj-SCD) is a novel classification that may identify individuals at risk for cognitive decline prior to a diagnosis of mild cognitive impairment (MCI). We examined the utility of Obj-SCD criteria to predict future cognitive decline and difficulties with activities of daily living (ADLs) among individuals with PD. METHOD The sample included 483 individuals newly diagnosed with PD. Participants were followed for a five-year span with yearly visits where they completed neuropsychological tests. Participants were categorized as cognitively normal (CN), the newly proposed Obj-SCD, PD-MCI or Parkinson's disease dementia (PDD). Analyses determined if utilization of Obj-SCD criteria predicted subsequent cognitive impairment and difficulties with ADLs. RESULTS At baseline, 372 (77%) participants were classified as CN, 40 (8.3%) classified as Obj-SCD, and 71 (14.7%) classified as PD-MCI. Analyses revealed that relative to the CN group, participants classified as Obj-SCD at baseline, were more likely to develop PD-MCI or PDD within 5 years (odds ratio 2.413; 95% confidence interval 1.215-4.792). Furthermore, the Obj-SCD represented an intermediate level of impairment, relative to the CN and PD-MCI groups, on an independent measure of cognition (Montreal Cognitive Assessment) and ADL. CONCLUSIONS Findings provide evidence that Obj-SCD criteria can identify individuals at risk for cognitive decline and impairments in ADL. Obj-SCD criteria may identify individuals at risk for cognitive impairment who are not detected by PD-MCI criteria.
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Affiliation(s)
- Jacob D Jones
- Department of Psychology, Center on Aging, California State University San Bernardino, 5500 University Parkway, San Bernardino, CA, 92407-2318, USA.
| | - Carmen Uribe
- Department of Psychology, Center on Aging, California State University San Bernardino, 5500 University Parkway, San Bernardino, CA, 92407-2318, USA
| | - Joseph Bunch
- Department of Psychology, Center on Aging, California State University San Bernardino, 5500 University Parkway, San Bernardino, CA, 92407-2318, USA
| | - Kelsey R Thomas
- Veteran Affairs San Diego Healthcare System, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
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Samy AL, Kamaruzzaman SB, Krishnaswamy S, Low WY. Predictors of Quality of Life among Older People with Mild Cognitive Impairment Attending Urban Primary Care Clinics. Clin Gerontol 2020; 43:441-454. [PMID: 31107185 DOI: 10.1080/07317115.2019.1608611] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
OBJECTIVES To study the prevalence of Mild Cognitive Impairment (MCI) among older people attending primary care clinics and its predictors of QOL. METHODS A cross-sectional study was conducted at two primary care clinics in Kuala Lumpur, Malaysia, recruiting 271 participants by utilizing the universal sampling method. Every patient who attended both the clinics during the study period and met the inclusion and exclusion criteria were approached and briefed about the study. Patients who gave consent were recruited as study participants. Information on sociodemographic, medical condition, and lifestyle behaviors were obtained. The Montreal Cognitive Assessment (MoCA) was used to screen for MCI at a score < 23. The World Health Organization Quality of Life-BREF (WHOQOL-BREF) questionnaire was used to evaluate QOL. RESULTS Prevalence of MCI was 27.3%. Lower QOL scores were found in the physical (67.3 ± 1.4), psychological (67.3 ± 1.4), social (66.9 ± 1.6) and environmental (71.3 ± 1.3) domains among participants with MCI. Among them, predictors of QOL were depression in the physical domain, age and stroke in the psychological domain, presence of other types of disorders in the social domain and diabetes and stroke in the environmental domain. CONCLUSIONS MCI was prevalent among study participants and were associated with poorer QOL in all domains of QOL. A better understanding of predictors of QOL in older people with MCI is deemed important. CLINICAL IMPLICATION Routine cognitive screening at primary care clinics will facilitate early recognition of MCI and facilitates referral to memory clinics for further assessment and treatment.
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Affiliation(s)
- Alexander Lourdes Samy
- Department of Medicine, Faculty of Medicine, University of Malaya , Kuala Lumpur, Malaysia
| | | | - Saroja Krishnaswamy
- Department of Psychiatry, School of Medicine, University of Western Sydney , New South Wales, Australia
| | - Wah-Yun Low
- Dean's Office, Faculty of Medicine, University of Malaya , Kuala Lumpur, Malaysia
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Baiano C, Barone P, Trojano L, Santangelo G. Prevalence and Clinical Aspects of Mild Cognitive Impairment in Parkinson's Disease: A Meta‐Analysis. Mov Disord 2019; 35:45-54. [DOI: 10.1002/mds.27902] [Citation(s) in RCA: 85] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Revised: 10/08/2019] [Accepted: 10/09/2019] [Indexed: 01/16/2023] Open
Affiliation(s)
- Chiara Baiano
- Department of Psychology University of Campania Luigi Vanvitelli Caserta Italy
| | - Paolo Barone
- Centre for Neurodegenerative Disease‐CEMAND University of Salerno Salerno Italy
| | - Luigi Trojano
- Department of Psychology University of Campania Luigi Vanvitelli Caserta Italy
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Jones JD, Kurniadi NE, Kuhn TP, Szymkowicz SM, Bunch J, Rahmani E. Depressive symptoms precede cognitive impairment in de novo Parkinson's disease patients: Analysis of the PPMI cohort. Neuropsychology 2019; 33:1111-1120. [PMID: 31343240 PMCID: PMC6823115 DOI: 10.1037/neu0000583] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
INTRODUCTION Nonmotor symptoms, including depression, anxiety, apathy, and cognitive dysfunction, are common in Parkinson's disease (PD). Although a link between mood symptoms and cognitive impairment in PD has been theorized vis-à-vis striatal dopamine depletion, studies have been inconsistent regarding the relationship between mood symptoms and cognitive function. Inconsistencies may reflect the cross-sectional nature of previous studies. The current study examined the bidirectional longitudinal relationship between mood and cognition. METHOD Data were obtained from 310 individuals newly diagnosed with PD, who were followed up to 4 years (baseline, 1st, 2nd, 3rd, and 4th annual follow-ups). Apathy, anxiety, depressive symptoms, motor severity, and neurocognitive functioning were assessed at each annual assessment. The longitudinal relationship between apathy, anxiety, depressive symptoms, and cognition was analyzed with multilevel models. RESULTS Over the 4-year period, more severe depressive symptoms were related to worse performance on tasks of processing speed, verbal learning, and verbal delayed recall. Additionally, there was a significant Depression × Time interaction, suggesting that individuals with more severe depressive symptoms experience more rapid declines in global cognitive functioning and verbal learning. Apathy and anxiety were not significantly related to performance in any cognitive test. Lagged models revealed that changes in depression precede declines in working memory, verbal learning, delayed verbal recall, and global cognition. CONCLUSION Findings suggest depressive symptoms may be a harbinger for future cognitive decline among individuals with PD. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Jones JD, Burroughs M, Apodaca M, Bunch J. Greater intraindividual variability in neuropsychological performance predicts cognitive impairment in de novo Parkinson's disease. Neuropsychology 2019; 34:24-30. [PMID: 31219297 DOI: 10.1037/neu0000577] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
INTRODUCTION Parkinson's disease (PD) is a neurodegenerative disorder that commonly results in cognitive impairments and dementia. Intraindividual variability of neuropsychological performance is a sensitive marker of cognitive decline in other neurologic populations. However, studies have not examined the longitudinal utility of intraindividual variability in predicting future cognitive impairments among individuals with PD. In the current study, we hypothesized that increased intraindividual variability would predict future cognitive decline independent of traditional neuropsychological markers of cognitive impairment. METHODS The sample included 423 newly diagnosed PD patients and 175 healthy controls, who were followed up to 5 years (baseline, first, second, third, fourth, and fifth annual follow-up). Participants underwent tests of learning, memory, processing speed, attention, verbal fluency, and visuospatial functioning. Cognitive status (cognitive intact, mild cognitive impairment, and dementia) was classified based on previously established criteria. Multilevel models were computed to examine the longitudinal relationship between intraindividual variability, cognitive status, and general cognitive functioning. RESULTS Analyses revealed that increased intraindividual variability was predictive of incident cognitive decline among individuals with PD. Specifically, greater dispersion in neuropsychological performance was associated with greater risk of transitioning from cognitively intact to mild cognitive impairment or transitioning from mild cognitive impairment to dementia. Additional analyses revealed a significant Intraindividual Variability × Group (PD or control) interaction, meaning that intraindividual variability was predictive of declines in cognitive functioning among PD participants only but not healthy controls. CONCLUSION Intraindividual variability may be a harbinger for future cognitive decline among individuals with PD. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
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Apathy in individuals with Parkinson's disease associated with mild cognitive impairment. A neuropsychological investigation. Neuropsychologia 2018; 118:4-11. [DOI: 10.1016/j.neuropsychologia.2018.05.016] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Revised: 05/18/2018] [Accepted: 05/18/2018] [Indexed: 12/31/2022]
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Szymkowicz SM, Dotson VM, Jones JD, Okun MS, Bowers D. Symptom Dimensions of Depression and Apathy and Their Relationship With Cognition in Parkinson's Disease. J Int Neuropsychol Soc 2018; 24:269-282. [PMID: 29032789 PMCID: PMC5820218 DOI: 10.1017/s1355617717001011] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVES Both depression and apathy, alone and in combination, have been shown to negatively affect cognition in patients with Parkinson's disease (PD). However, the influence of specific symptom dimensions of depression and apathy on cognition is not well understood. The current study investigated the relationship between symptom dimensions of depression and apathy, based on factors identified in Kirsch-Darrow et al. (2011), and memory and executive function in PD. METHODS A sample of 138 non-demented individuals with PD (mean age=64.51±7.43 years) underwent neuropsychological testing and completed the Beck Depression Inventory, 2nd Edition, and Apathy Scale. Separate hierarchical regression models examined the relationship between symptom dimensions of depression and apathy ("pure" depressive symptoms, "pure" apathy, loss of interest/pleasure [anhedonia], and somatic symptoms) and three cognitive domain composites: immediate verbal memory, delayed verbal memory, and executive function. RESULTS After adjusting for general cognitive status and the influence of the other symptom dimensions, "pure" depressive symptoms were negatively associated with the delayed verbal memory composite (p<.034) and somatic symptoms were positively associated with the executive function composite (p<.026). No symptom dimensions were significantly related to the immediate verbal memory composite. CONCLUSIONS Findings suggest that specific mood symptoms are associated with delayed verbal memory and executive function performance in non-demented patients with PD. Further research is needed to better understand possible mechanisms through which specific symptom dimensions of depression and apathy are associated with cognition in PD. (JINS, 2018, 24, 269-282).
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Affiliation(s)
- Sarah M. Szymkowicz
- Department of Clinical & Health Psychology, College of Public Health & Health Professions, University of Florida, Gainesville, FL, USA
| | - Vonetta M. Dotson
- Department of Clinical & Health Psychology, College of Public Health & Health Professions, University of Florida, Gainesville, FL, USA
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Jacob D. Jones
- Department of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine, University of California - Los Angeles, Los Angeles, CA, USA
| | - Michael S. Okun
- Department of Neurology, College of Medicine, University of Florida, Gainesville, FL, USA
- Center for Movement Disorders & Neurorestoration, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Dawn Bowers
- Department of Clinical & Health Psychology, College of Public Health & Health Professions, University of Florida, Gainesville, FL, USA
- Department of Neurology, College of Medicine, University of Florida, Gainesville, FL, USA
- Center for Movement Disorders & Neurorestoration, College of Medicine, University of Florida, Gainesville, FL, USA
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Jones JD, Kuhn TP, Szymkowicz SM. Reverters from PD-MCI to cognitively intact are at risk for future cognitive impairment: Analysis of the PPMI cohort. Parkinsonism Relat Disord 2018; 47:3-7. [PMID: 29233608 PMCID: PMC5803409 DOI: 10.1016/j.parkreldis.2017.12.006] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Revised: 11/21/2017] [Accepted: 12/08/2017] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Past studies have shown that a large portion of individuals with Parkinson's disease (PD) and mild cognitive impairment (MCI) will revert to a cognitively intact (CI) status in the future. Aging studies have shown that individuals who revert from MCI to CI are at increased risk for reconverting to MCI or dementia in the future. The current study examined if individuals who revert from PD-mild cognitive impairment (PD-MCI) to CI will be at increased risk for future PD-MCI and Parkinson's disease dementia (PDD). METHOD The study utilized data from the Parkinson's Progression Markers Initiative (PPMI). The sample included 364 newly diagnosed PD participants who were followed annually for up to 4 years. Based on the first and second assessments, we identified individuals who were CI at each assessment (CI-Stable) and individuals who were PD-MCI at baseline but then reverted to CI (Reversion). Analyses examined if participants in the Reversion group were at greater risk, relative to the CI-Stable group, for cognitive impairment at future assessments. RESULTS Participants in the Reversion group were at greater risk for future cognitive impairment (PD-MCI or PDD) at the 2nd, 3rd and 4th annual follow-up, relative to the CI-Stable group. The Reversion group continued to be at increased risk for future cognitive impairment when adjusting for age, gender, education, depressive symptoms, and motor severity. CONCLUSION A large proportion of individuals with PD-MCI will not show evidence of cognitive impairment within a year. However, these "reverters" continue to be at risk for future development of cognitive impairment.
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Affiliation(s)
- Jacob D Jones
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA.
| | - Taylor P Kuhn
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Sarah M Szymkowicz
- Department of Clinical & Health Psychology, College of Public Health & Health Professions, University of Florida, Gainesville, FL, USA
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Abstract
BACKGROUND Apathy, characterized by diminished motivation, is a highly prevalent neuropsychiatric symptom in dementia. However, there is a substantial knowledge gap with regard to prevalence rates, neurobiological underpinnings, and effective treatments for apathy in pre-dementia states, including mild cognitive impairment (MCI) and mild behavioral impairment (MBI). METHODS We conducted a comprehensive literature search using MEDLINE, Embase, and PsycINFO databases to identify available research on apathy in prodromal dementia. RESULTS Apathy has consistently been detected in individuals with MCI with varying prevalence rates, and only recently has literature discussed the prevalence of apathy in MBI. Few pharmacological treatments have been utilized for apathy, with galantamine and risperidone showing mild reductions in apathetic behaviors. Non-pharmacological interventions in prodromal dementia are beginning to be explored and show promise, but few studies have replicated those results. DISCUSSION More comprehensive guidelines for diagnosing apathy and further research investigating neurobiological mechanisms of apathy in MCI and MBI are required in order to effectively treat apathetic patients in prodromal dementia.
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Are Parkinson's Patients More Vulnerable to the Effects of Cardiovascular Risk: A Neuroimaging and Neuropsychological Study. J Int Neuropsychol Soc 2017; 23:322-331. [PMID: 28162137 PMCID: PMC5729910 DOI: 10.1017/s1355617717000017] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVES This study examined whether individuals with Parkinson's disease (PD) are at increased vulnerability for vascular-related cognitive impairment relative to controls. The underlying assumption behind this hypothesis relates to brain reserve and that both PD and vascular risk factors impair similar fronto-executive cognitive systems. METHODS The sample included 67 PD patients and 61 older controls (total N=128). Participants completed neuropsychological measures of executive functioning, processing speed, verbal delayed recall/memory, language, and auditory attention. Cardiovascular risk was assessed with the Framingham Cardiovascular Risk index. Participants underwent brain imaging (T1 and T2 FLAIR). Trained raters measured total and regional leukoaraiosis (periventricular, deep subcortical, and infracortical). RESULTS Hierarchical regressions revealed that more severe cardiovascular risk was related to worse executive functioning, processing speed, and delayed verbal recall in both Parkinson patients and controls. More severe cardiovascular risk was related to worse language functioning in the PD group, but not controls. In contrast, leukoaraiosis related to both cardiovascular risk and executive functioning for controls, but not the PD group. CONCLUSIONS Overall, results revealed that PD and cardiovascular risk factors are independent risk factors for cognitive impairment. Generally, the influence of cardiovascular risk factors on cognition is similar in PD patients and controls. (JINS, 2017, 23, 322-331).
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