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https://www.readbyqxmd.com/read/30109466/disease-progression-in-parkinson-subtypes-the-ppmi-dataset
#1
Darko Aleksovski, Dragana Miljkovic, Daniele Bravi, Angelo Antonini
INTRODUCTION: Discrete patterns of progression have been suggested for patients with Parkinson disease and presenting tremor dominant (TD) or postural instability gait disorders (PIGD). However, longitudinal prospective assessments need to take into consideration the variability in clinical manifestations and the evidence that only 40% of initially classified PIGD remain in this subtype at subsequent visits. METHODS: We analyzed clinical progression of PIGD compared to TD using longitudinal clinical data from the PPMI...
August 14, 2018: Neurological Sciences
https://www.readbyqxmd.com/read/30093879/structural-brain-network-alteration-and-its-correlation-with-structural-impairments-in-patients-with-depression-in-de-novo-and-drug-na%C3%A3-ve-parkinson-s-disease
#2
Lubin Gou, Wei Zhang, Chuanming Li, Xinlin Shi, Zhiming Zhou, Weijia Zhong, Ting Chen, Xiajia Wu, Chun Yang, Dajing Guo
Purpose: Depression is common in Parkinson's disease (PD) and is correlated with the severity of motor deficits and quality of life. The present study aimed to investigate alterations in the structural brain network related to depression in Parkinson's disease (d-PD) and their correlations with structural impairments of white matter (WM). Materials and Methods: Data were acquired from the Parkinson Progression Markers Initiative (PPMI) database. A total of 84 de novo and drug-naïve PD patients were screened and classified into two groups according to the 15-item Geriatric Depression Scale (GDS-15): d-PD ( n = 28) and nondepression in PD (nd-PD, n = 56)...
2018: Frontiers in Neurology
https://www.readbyqxmd.com/read/30089306/estimating-the-evolution-of-disease-in-the-parkinson-s-progression-markers-initiative
#3
Samuel Iddi, Dan Li, Paul S Aisen, Michael S Rafii, Irene Litvan, Wesley K Thompson, Michael C Donohue
Parkinson's disease is the second most common neurological disease and affects about 1% of persons over the age of 60 years. Due to the lack of approved surrogate markers, confirmation of the disease still requires postmortem examination. Identifying and validating biomarkers are essential steps toward improving clinical diagnosis and accelerating the search for therapeutic drugs to ameliorate disease symptoms. Until recently, statistical analysis of multicohort longitudinal studies of neurodegenerative diseases has usually been restricted to a single analysis per outcome with simple comparisons between diagnostic groups...
August 8, 2018: Neuro-degenerative Diseases
https://www.readbyqxmd.com/read/30050494/longitudinal-alterations-of-alpha-synuclein-amyloid-beta-total-and-phosphorylated-tau-in-cerebrospinal-fluid-and-correlations-between-their-changes-in-parkinson-s-disease
#4
Mahsa Dolatshahi, Shayan Pourmirbabaei, Aida Kamalian, Amir Ashraf-Ganjouei, Mehdi Yaseri, Mohammad H Aarabi
Background: Parkinson's disease (PD) is characterized by proteinopathies and these proteinopathies seem to interact synergistically and lead to protein aggregations and changes in protein cerebrospinal fluid (CSF) levels. In this study, we aimed to explore the longitudinal changes of CSF a lpha-synuclein (α-syn), total tau (t-tau), phosphorylated tau (p-tau), and beta-amyloid (Aβ1-42 ) and their relationships with each other and with baseline clinical entities like REM sleep behavior disorder (RBD), cognitive impairment, motor symptoms, and olfaction dysfunction...
2018: Frontiers in Neurology
https://www.readbyqxmd.com/read/29987621/quantitative-intensity-harmonization-of-dopamine-transporter-spect-images-using-gamma-mixture-models
#5
Alberto Llera, Ismael Huertas, Pablo Mir, Christian F Beckmann
PURPOSE: Differences in site, device, and/or settings may cause large variations in the intensity profile of dopamine transporter (DAT) single-photon emission computed tomography (SPECT) images. However, the current standard to evaluate these images, the striatal binding ratio (SBR), does not efficiently account for this heterogeneity and the assessment can be unequivalent across distinct acquisition pipelines. In this work, we present a voxel-based automated approach to intensity normalize such type of data that improves on cross-session interpretation...
July 9, 2018: Molecular Imaging and Biology: MIB: the Official Publication of the Academy of Molecular Imaging
https://www.readbyqxmd.com/read/29973913/cognitive-profiles-and-hub-vulnerability-in-parkinson-s-disease
#6
Sue-Jin Lin, Tobias R Baumeister, Saurabh Garg, Martin J McKeown
The clinicopathological correlations between aspects of cognition, disease severity and imaging in Parkinson's Disease (PD) have been unclear. We studied cognitive profiles, demographics, and functional connectivity patterns derived from resting-state fMRI data (rsFC) in 31 PD subjects from the Parkinson's Progression Markers Initiative (PPMI) database. We also examined rsFC from 19 healthy subjects (HS) from the Pacific Parkinson's Research Centre. Graph theoretical measures were used to summarize the rsFC patterns...
2018: Frontiers in Neurology
https://www.readbyqxmd.com/read/29943115/transcatheter-aortic-valve-replacement-with-the-34-mm-medtronic-evolut-valve-early-results-of-single-institution-experience
#7
G D'Ancona, M Dißmann, H Heinze, D Zohlnhöfer-Momm, H Ince, S Kische
OBJECTIVES: To report our experience with the recently introduced 34 mm Evolut transcatheter aortic valve replacement (TAVR) prosthesis. BACKGROUND: A larger TAVR prosthesis has become available for the treatment of aortic stenosis (AVS) in larger native aortic annuli (up to 30 mm). Outcomes with this new device are still unreported. RESULTS: The first 25 transfemoral TAVRs performed by our team with the self-expandable 34 mm Evolut are presented...
August 2018: Netherlands Heart Journal
https://www.readbyqxmd.com/read/29937301/definitions-of-peri-procedural-myocardial-infarction-and-the-association-with-one-year-mortality-insights-from-champion-trials
#8
Christoph B Olivier, Vandana Sundaram, Deepak L Bhatt, Sergio Leonardi, Renato D Lopes, Victoria Y Ding, Lingyao Yang, Gregg W Stone, Ph Gabriel Steg, C Michael Gibson, Christian W Hamm, Matthew J Price, Harvey D White, Manisha Desai, Donald R Lynch, Robert A Harrington, Kenneth W Mahaffey
BACKGROUND: Controversies exist over the appropriate definition for peri-procedural myocardial infarction (PPMI) and its association with mortality. This study aims to evaluate one-year survival following percutaneous coronary intervention (PCI) and the association of different definitions of PPMI with survival among patients with stable angina (SA) or acute coronary syndrome (ACS) in the contemporary era. METHODS: We used data from the CHAMPION PLATFORM and CHAMPION PCI trials of patients undergoing PCI and conducted univariable and multivariable Cox proportional hazard regression models to evaluate mortality risk during the first year after PCI...
June 8, 2018: International Journal of Cardiology
https://www.readbyqxmd.com/read/29935389/effects-of-different-covariates-and-contrasts-on-classification-of-parkinson-s-disease-using-structural-mri
#9
Ozkan Cigdem, Iman Beheshti, Hasan Demirel
Three-dimensional magnetic resonance imaging (3D-MRI) has been effectively used in the diagnosis of progressive neurodegenerative diseases including Parkinson's disease (PD). Pre-processing of 3D-MRI scans plays an important role for post-processing. In this paper, voxel-based morphometry (VBM) technique is used to compare morphological dierences of PDs versus healthy controls (HCs) in gray matter (GM) and white matter (WM). The effects of using different covariates (i.e. total intracranial volume (TIV), age, sex and combination of them) as well as two different hypotheses, t-contrast and f-contrast, on classification of PD from HCs have been studied...
August 1, 2018: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29899731/early-gray-matter-volume-loss-in-mapt-h1h1-de-novo-pd-patients-a-possible-association-with-cognitive-decline
#10
Frederic Sampedro, Juan Marín-Lahoz, Saul Martínez-Horta, Javier Pagonabarraga, Jaime Kulisevsky
The MAPT H1 haplotype has been identified as a predictor of cognitive decline in Parkinson's disease (PD). However, its underlying pathological mechanisms have not been fully established. In this work, using a cohort of 120 de novo PD patients with preserved cognition from the Parkinson's Progression Markers Initiative (PPMI) database, we found that patients who were homozygous for MAPT H1 had less gray matter volume (GMV) and greater 1-year GMV loss than patients without this genetic profile. Importantly, these changes were associated with a longitudinal worsening of cognitive indicators...
2018: Frontiers in Neurology
https://www.readbyqxmd.com/read/29807313/complex-networks-reveal-early-mri-markers-of-parkinson-s-disease
#11
Nicola Amoroso, Marianna La Rocca, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro
Parkinson's disease (PD) is the most common neurological disorder, after Alzheimer's disease, and is characterized by a long prodromal stage lasting up to 20 years. As age is a prominent factor risk for the disease, next years will see a continuous increment of PD patients, making urgent the development of efficient strategies for early diagnosis and treatments. We propose here a novel approach based on complex networks for accurate early diagnoses using magnetic resonance imaging (MRI) data; our approach also allows us to investigate which are the brain regions mostly affected by the disease...
August 2018: Medical Image Analysis
https://www.readbyqxmd.com/read/29803610/symptoms-and-medications-change-patterns-for-parkinson-s-disease-patients-stratification
#12
Anita Valmarska, Dragana Miljkovic, Spiros Konitsiotis, Dimitris Gatsios, Nada Lavrač, Marko Robnik-Šikonja
Quality of life of patients with Parkinson's disease degrades significantly with disease progression. This paper presents a step towards personalized management of Parkinson's disease patients, based on discovering groups of similar patients. Similarity is based on patients' medical conditions and changes in the prescribed therapy when the medical conditions change. We present two novel approaches. The first algorithm discovers symptoms' impact on Parkinson's disease progression. Experiments on the Parkinson Progression Markers Initiative (PPMI) data reveal a subset of symptoms influencing disease progression which are already established in Parkinson's disease literature, as well as symptoms that are considered only recently as possible indicators of disease progression by clinicians...
May 23, 2018: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/29800593/determination-of-imaging-biomarkers-to-decipher-disease-trajectories-and-differential-diagnosis-of-neurodegenerative-diseases-disease-trend
#13
Gurpreet Singh, Lakshminarayanan Samavedham, Erle Chuen-Hian Lim
BACKGROUND: Understanding disease progression of neurodegenerative diseases (NDs) is important for better prognosis and decisions on the appropriate course of treatment to slow down the disease progression. NEW METHOD: We present here an innovative machine learning framework capable of (1) indicating the trajectory of disease progression by identifying relevant imaging biomarkers and (2) automated disease diagnosis. Self-Organizing Maps (SOM) have been used for data dimensionality reduction and to reveal potentially useful disease-specific biomarkers, regions of interest (ROIs)...
July 15, 2018: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/29759928/bdnf-variant-is-associated-with-milder-motor-symptom-severity-in-early-stage-parkinson-s-disease
#14
D Luke Fischer, Peggy Auinger, John L Goudreau, Katrina L Paumier, Allyson Cole-Strauss, Christopher J Kemp, Jack W Lipton, Caryl E Sortwell
INTRODUCTION: Parkinson's disease (PD) progression is heterogeneous. Variants in PD-related genes may alter disease progression or severity. We examined if the single nucleotide variant rs6265 in the gene Bdnf alters clinical phenotype in early-stage, unmedicated PD. METHODS: A retrospective analysis was conducted using data collected in the Deprenyl And Tocopherol Antioxidative Therapy Of Parkinsonism (DATATOP) study. DNA samples (n = 217) were genotyped for the Bdnf rs6265 variant, and the primary endpoint was time to initiate levodopa...
May 9, 2018: Parkinsonism & related Disorders
https://www.readbyqxmd.com/read/29710748/sparse-feature-learning-for-multi-class-parkinson-s-disease-classification
#15
Haijun Lei, Yujia Zhao, Yuting Wen, Qiuming Luo, Ye Cai, Gang Liu, Baiying Lei
This paper solves the multi-class classification problem for Parkinson's disease (PD) analysis by a sparse discriminative feature selection framework. Specifically, we propose a framework to construct a least square regression model based on the Fisher's linear discriminant analysis (LDA) and locality preserving projection (LPP). This framework utilizes the global and local information to select the most relevant and discriminative features to boost classification performance. Differing in previous methods for binary classification, we perform a multi-class classification for PD diagnosis...
2018: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
https://www.readbyqxmd.com/read/29689760/joint-regression-and-classification-via-relational-regularization-for-parkinson-s-disease-diagnosis
#16
Haijun Lei, Zhongwei Huang, Tao Han, Qiuming Luo, Ye Cai, Gang Liu, Baiying Lei
It is known that the symptoms of Parkinson's disease (PD) progress successively, early and accurate diagnosis of the disease is of great importance, which slows the disease deterioration further and alleviates mental and physical suffering. In this paper, we propose a joint regression and classification scheme for PD diagnosis using baseline multi-modal neuroimaging data. Specifically, we devise a new feature selection method via relational learning in a unified multi-task feature selection model. Three kinds of relationships (e...
2018: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
https://www.readbyqxmd.com/read/29665066/serotonin-%C3%AE-amyloid-and-cognition-in-parkinson-disease
#17
Vikas Kotagal, Cathie Spino, Nicolaas I Bohnen, Robert Koeppe, Roger L Albin
OBJECTIVE: Serotoninergic neurotransmission may modulate β-amyloid peptide (Aβ) metabolism through upregulation of α-secretase. Early Parkinson disease (PD) shows variable serotoninergic denervation, which may impact Aβ deposition. METHODS: We conducted 3 analyses to explore associations between serotoninergic neurotransmission and cerebral Aβ burden in PD. The first was a cross-sectional imaging study of PD subjects (n = 23) using the serotoninergic transporter positron emission tomography (PET) ligand [11 C]3-amino-4-(2-dimethylaminomethyl-phenylsulfaryl)-benzonitrile (DASB) and amyloid PET Pittsburgh compound B ([11 C]PiB)...
May 2018: Annals of Neurology
https://www.readbyqxmd.com/read/29649812/safety-and-efficacy-of-a-progressively-prolonged-maintenance-interval-of-venom-immunotherapy
#18
Kalliopi Kontou-Fili, Constantinos Pitsios, Evangelia Kompoti, Dionysios Giannakopoulos, Spyros Kouridakis
BACKGROUND: The long-term protection provided by venom immunotherapy (VIT) is related to the dose administered and to its long duration; the latter, however, becomes inconvenient for patients in countries like Greece, with many islanders or inhabitants of distant mountainous areas. Maintenance interval prolongation reduces the number of office visits - saving time and money - and as a consequence contributes to the patients' compliance. The aim of this prospective study was to evaluate the safety and efficacy of VIT on a progressively prolonged maintenance interval (PPMI)...
2018: International Archives of Allergy and Immunology
https://www.readbyqxmd.com/read/29571843/identification-of-a-prospective-early-motor-progression-cluster-of-parkinson-s-disease-data-from-the-ppmi-study
#19
George D Vavougios, Triantafyllos Doskas, Constantinos Kormas, Karen A Krogfelt, Sotirios G Zarogiannis, Leonidas Stefanis
AIM: The aim of our study is to phenotype PD motor progression, and to detect whether serum, cerebrospinal fluid (CSF), neuroimaging biomarkers and neuropsychological measures characterize PD motor progression phenotypes. METHODS: We defined motor progression as a difference of at least one point in the Hoehn & Yahr (H&Y) scale between the baseline (Visit 0, V0), 12 months (Visit 04, V04) and 36 months (Visit 08, V08) milestones of the Progression Markers Initiative (PPMI) study...
April 15, 2018: Journal of the Neurological Sciences
https://www.readbyqxmd.com/read/29550369/asymmetric-orientation-distribution-functions-aodfs-revealing-intravoxel-geometry-in-diffusion-mri
#20
Suheyla Cetin Karayumak, Evren Özarslan, Gozde Unal
Characterization of anisotropy via diffusion MRI reveals fiber crossings in a substantial portion of voxels within the white-matter (WM) regions of the human brain. A considerable number of such voxels could exhibit asymmetric features such as bends and junctions. However, widely employed reconstruction methods yield symmetric Orientation Distribution Functions (ODFs) even when the underlying geometry is asymmetric. In this paper, we employ inter-voxel directional filtering approaches through a cone model to reveal more information regarding the cytoarchitectural organization within the voxel...
June 2018: Magnetic Resonance Imaging
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