Hippocampal subfield atrophy of CA1 and subicular structures predict progression to dementia in idiopathic Parkinson’s disease

2019 ◽  
Vol 90 (6) ◽  
pp. 681-687 ◽  
Author(s):  
Audrey Low ◽  
Heidi Foo ◽  
Ting Ting Yong ◽  
Louis C S Tan ◽  
Nagaendran Kandiah
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Executive Functions ◽  
Neuropsychological Testing ◽  
Automatic Segmentation ◽  
Hippocampal Volume ◽  
Cognitive Change ◽  
Granule Cell Layer ◽  
Characteristic Analysis ◽  
Mri Scans

BackgroundGlobal hippocampal atrophy is a hallmark of Alzheimer’s dementia and has been similarly reported in Parkinson’s disease dementia (PDD). However, there is limited literature on the differential involvement of hippocampal subfields in predicting conversion to PDD. This study is an extension of previous findings on progression to mild cognitive impairment in Parkinson’s disease (PD).MethodsThis cohort study recruited 73 non-demented participants with idiopathic PD (age 65.80±8.17, 75.3% male) from an outpatient neurology clinic. All participants underwent clinical assessment, neuropsychological testing and 3T MRI scans at baseline and 18 months while on prescribed dopaminergic medication. Hippocampal subfield volumes were obtained using automatic segmentation in FreeSurfer V.6.0. Participants who progressed to PDD and those who did not were compared on hippocampal subfield atrophy and cognitive change (episodic memory, attention, executive functions, language, visuospatial abilities). Subfields were further examined for their abilities to predict PDD conversion and distinguish PDD from non-demented PD using receiver operating characteristic analysis.ResultsSmaller baseline global hippocampal volume, cornu ammonis (CA) subfield CA1, subiculum and presubiculum volumes were observed in participants who went on to develop dementia, and predicted PDD conversion. Those who progressed to PDD saw greater decline in global hippocampal volume, granule cell layer of the dentate gyrus, presubiculum, parasubiculum and fimbria. Decline in subiculum and fimbria volume corresponded to cognitive decline in attention and executive functions, respectively.ConclusionsEarly atrophy of CA1, subiculum and presubiculum preceded, and predicted, PDD conversion. Differential patterns of subfield atrophy were also observed among those who progressed to PDD and were associated with impaired executive functions.

Development of standardized regression-based formulas to assess meaningful cognitive change in early Parkinson’s disease

2020 ◽  
Author(s):  
Hannah L Combs ◽  
Kate A Wyman-Chick ◽  
Lauren O Erickson ◽  
Michele K York
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Test Scores ◽  
Prediction Models ◽  
Early Stage ◽  
Cognitive Change ◽  
Cognitive Test ◽  
Healthy Controls ◽  
Change Over Time ◽  
Over Time

Abstract Objective Longitudinal assessment of cognitive and emotional functioning in patients with Parkinson’s disease (PD) is helpful in tracking progression of the disease, developing treatment plans, evaluating outcomes, and educating patients and families. Determining whether change over time is meaningful in neurodegenerative conditions, such as PD, can be difficult as repeat assessment of neuropsychological functioning is impacted by factors outside of cognitive change. Regression-based prediction formulas are one method by which clinicians and researchers can determine whether an observed change is meaningful. The purpose of the current study was to develop and validate regression-based prediction models of cognitive and emotional test scores for participants with early-stage idiopathic PD and healthy controls (HC) enrolled in the Parkinson’s Progression Markers Initiative (PPMI). Methods Participants with de novo PD and HC were identified retrospectively from the PPMI archival database. Data from baseline testing and 12-month follow-up were utilized in this study. In total, 688 total participants were included in the present study (NPD = 508; NHC = 185). Subjects from both groups were randomly divided into development (70%) and validation (30%) subsets. Results Early-stage idiopathic PD patients and healthy controls were similar at baseline. Regression-based models were developed for all cognitive and self-report mood measures within both populations. Within the validation subset, the predicted and observed cognitive test scores did not significantly differ, except for semantic fluency. Conclusions The prediction models can serve as useful tools for researchers and clinicians to study clinically meaningful cognitive and mood change over time in PD.

Random Number Generation and Executive Functions in Parkinson’s Disease: An Event-Related Brain Potential Study

2015 ◽  
Vol 5 (3) ◽  
pp. 613-620 ◽  
Author(s):  
Thomas F. Münte ◽  
Gregor Joppich ◽  
Jan Däuper ◽  
Christoph Schrader ◽  
Reinhard Dengler ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Executive Functions ◽  
Random Number ◽  
Random Number Generation ◽  
Brain Potential ◽  
Number Generation ◽  
Potential Study

scholarly journals Verbal fluency in categories of common and proper names in the phase of mild cognitive impairment in the course of Parkinson’s disease

1970 ◽  
Author(s):  
Renata Gliwa
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Executive Functions ◽  
Verbal Fluency ◽  
Proper Names ◽  
Test Group ◽  
Progressive Decrease ◽  
Test Result

Renata Gliwa, Verbal fluency in categories of common and proper names in the phase of mild cognitive impairment in the course of Parkinson’s disease. Interdisciplinary Contexts of Special Pedagogy, no. 27, Poznań 2019. Pp. 249–272. Adam Mickiewicz University Press. ISSN 2300-391X. e-ISSN 2658-283X. DOI: https://doi.org/10.14746/ikps.2019.27.12 The article is devoted to consideration of verbal fluency in MCI-PD. The VF test allows for the detection of dysfunctions within linguistic processes, semantic memory and dysfunctions of executive functions already in the early stages of Parkinson’sdisease. The article compares the results of verbal fluency tests in selected categories of proper names and common names, and assesses the effect of the MCIPD stage on the test result. The comparison of the test group results with various degrees of MCI indicates a progressive decrease in verbal fluency. The experiment showed different profiles of the verbal task in terms of common and proper names.

A-21 Neuropsychological Differentiation of Dementia with Lewy Bodies and Parkinson’s Disease Dementia

2021 ◽  
Vol 36 (6) ◽  
pp. 1062-1062
Author(s):  
Bailey E McDonald ◽  
Samantha Spagna ◽  
Charles Golden
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Executive Functioning ◽  
Dementia With Lewy Bodies ◽  
Financial Burden ◽  
Digit Span ◽  
Neuropsychological Testing ◽  
Lewy Bodies ◽  
Parkinson’S Disease Dementia ◽  
Figure Test

Abstract Objective To determine whether or not distinct neuropsychological profiles could be created to aid in earlier detection in Dementia with Lewy Bodies (DLB) and Parkinson’s Disease Dementia (PDD). Data Selection A literature review was conducted informally to search for articles pertaining to neuropsychological testing with individuals with DLB or PDD that were dated within the past fifteen years. Data Synthesis Results indicated DLB typically has greater impairment in executive functioning, visuospatial, and attention in comparison to PDD. More specifically, individuals with DLB had significantly worse results on the Rey Complex Figure Test Copy Trial and Digit Span Forward than individuals with PDD. PDD was shown to typically have greater impairment in motor symptoms in comparison to DLB. These impairments, however, depend on the severity of disease progression. Conclusions In conclusion, DLB and PDD have very similar neuropsychological deficits, with greater deficits observed in executive functioning, visuospatial, and attention for individuals with DLB. Overall, majority of the literature is unsure of concrete diagnostic criteria for both individuals with DLB and PDD. This inconsistency has led the comparison of overall research to also been quite difficult as well. Future studies should try to control for medication and comorbidities, as well as include larger and more diverse samples with a full neuropsychological battery to include all domains of functioning. By doing this, the focus will shift more to on early detection and prevention of DLB and PDD and therefore reduce the financial burden of a neurocognitive disorder and the strain of caregiving that is usually placed within on the family.

scholarly journals Detection of Parkinson’s Disease from 3T T1 Weighted MRI Scans Using 3D Convolutional Neural Network

Diagnostics ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 402
Author(s):  
Sabyasachi Chakraborty ◽  
Satyabrata Aich ◽  
Hee-Cheol Kim
Keyword(s):  
Neural Network ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Convolutional Neural Network ◽  
Dopaminergic Neurons ◽  
Aging Population ◽  
Substantia Nigra Pars Compacta ◽  
Progressive Loss ◽  
Mri Scans ◽  
Magnetic Resonance Imaging Mri

Parkinson’s Disease is a neurodegenerative disease that affects the aging population and is caused by a progressive loss of dopaminergic neurons in the substantia nigra pars compacta (SNc). With the onset of the disease, the patients suffer from mobility disorders such as tremors, bradykinesia, impairment of posture and balance, etc., and it progressively worsens in the due course of time. Additionally, as there is an exponential growth of the aging population in the world the number of people suffering from Parkinson’s Disease is increasing and it levies a huge economic burden on governments. However, until now no therapeutic method has been discovered for completely eradicating the disease from a person’s body after it’s onset. Therefore, the early detection of Parkinson’s Disease is of paramount importance to tackle the progressive loss of dopaminergic neurons in patients to serve them with a better life. In this study, 3T T1-weighted MRI scans were acquired from the Parkinson’s Progression Markers Initiative (PPMI) database of 406 subjects from baseline visit, where 203 were healthy and 203 were suffering from Parkinson’s Disease. Following data pre-processing, a 3D convolutional neural network (CNN) architecture was developed for learning the intricate patterns in the Magnetic Resonance Imaging (MRI) scans for the detection of Parkinson’s Disease. In the end, it was observed that the developed 3D CNN model performed superiorly by completely aligning with the hypothesis of the study and plotted an overall accuracy of 95.29%, average recall of 0.943, average precision of 0.927, average specificity of 0.9430, f1-score of 0.936, and Receiver Operating Characteristic—Area Under Curve (ROC-AUC) score of 0.98 for both the classes respectively.

scholarly journals Complaints about impairments in executive functions in Parkinson's disease: The association with neuropsychological assessment

2012 ◽  
Vol 18 (2) ◽  
pp. 194-197 ◽  
Author(s):  
Janneke Koerts ◽  
Marije van Beilen ◽  
Klaus L. Leenders ◽  
Wiebo H. Brouwer ◽  
Lara Tucha ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Executive Functions ◽  
Neuropsychological Assessment

Differential effects of dopaminergic medication on basic motor performance and executive functions in Parkinson's disease

2012 ◽  
Vol 50 (10) ◽  
pp. 2506-2514 ◽  
Author(s):  
Jochen Michely ◽  
Michael T. Barbe ◽  
Felix Hoffstaedter ◽  
Lars Timmermann ◽  
Simon B. Eickhoff ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Executive Functions ◽  
Motor Performance ◽  
Differential Effects ◽  
Dopaminergic Medication

Language Deficits as a Preclinical Window into Parkinson’s Disease: Evidence from Asymptomatic Parkin and Dardarin Mutation Carriers

2017 ◽  
Vol 23 (2) ◽  
pp. 150-158 ◽  
Author(s):  
Adolfo M. García ◽  
Lucas Sedeño ◽  
Natalia Trujillo ◽  
Yamile Bocanegra ◽  
Diana Gomez ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Executive Functions ◽  
Language Processing ◽  
Memory Load ◽  
Analysis Of Covariance ◽  
Mutation Carriers ◽  
Language Measures ◽  
Asymptomatic Individuals ◽  
Processing Mechanisms

AbstractObjectives:The worldwide spread of Parkinson’s disease (PD) calls for sensitive and specific measures enabling its early (or, ideally, preclinical) detection. Here, we use language measures revealing deficits in PD to explore whether similar disturbances are present in asymptomatic individualsat riskfor the disease.Methods:We administered executive, semantic, verb-production, and syntactic tasks to sporadic PD patients, genetic PD patients with PARK2 (parkin) or LRRK2 (dardarin) mutation, asymptomatic first-degree relatives of the latter with similar mutations, and socio-demographically matched controls. Moreover, to detectsui generislanguage disturbances, we ran analysis of covariance tests using executive functions as covariate.Results:The two clinical groups showed impairments in all measures, most of which survived covariation with executive functions. However, the key finding concerned asymptomatic mutation carriers. While these subjects showed intact executive, semantic, and action-verb production skills, they evinced deficits in a syntactic test with minimal working memory load.Conclusions:We propose that thissui generisdisturbance may constitute a prodromal sign anticipating eventual development of PD. Moreover, our results suggest that mutations on specific genes (PARK2 and LRRK2) compromising basal ganglia functioning may be subtly related to language-processing mechanisms. (JINS, 2017,23, 150–158)

Cognitive Profile of the Earliest Stage of Dementia in Parkinson’s Disease

2012 ◽  
Vol 27 (8) ◽  
pp. 614-619 ◽  
Author(s):  
Mariya Petrova ◽  
Margarita Raycheva ◽  
Latchezar Traykov
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Episodic Memory ◽  
Executive Functions ◽  
Mini Mental State Examination ◽  
Early Stage ◽  
Considerable Controversy ◽  
State Examination ◽  
Normal Controls ◽  
Specific Profile

Recently, a strong interest has emerged in recognizing Parkinson’s disease dementia (PDD) at a very early stage. However, the specific profile of the earliest stages of PDD is still unclear and a matter of considerable controversy. The objective of this study was to find out early neuropsychological markers for progression of dementia in this population. Fifty-eight patients with PDD were divided into 2 subgroups on the basis of the Mini-Mental State Examination: very mild and mild. The comparison with 26 normal controls shows that very mild PDD had deficits on attention/executive functions, naming, visuospatial/constructional abilities and retrieval of the episodic memory. Patients with mild PDD showed additional deficits on coding of episodic memory. Moreover, we found that in this early stage of PDD, the progression of dementia is mainly related to deterioration of attention/executive functions as well as retrieval and coding of episodic memory.

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