Parkinson Disease Propagation Using MRI Biomarkers and Partial Least Squares Path Modeling

被引:16
|
作者
Pyatigorskaya, Nadya [1 ,2 ,3 ,4 ]
Yahia-Cherif, Lydia [1 ,2 ]
Valabregue, Romain [1 ]
Gaurav, Rahul [1 ,2 ,3 ]
Gargouri, Fatma [2 ,3 ]
Ewenczyk, Claire [2 ,3 ,5 ]
Gallea, Cecile [2 ,3 ]
Fernandez-Vidal, Sara [1 ,2 ,3 ]
Arnulf, Isabelle [2 ,3 ,6 ,7 ]
Vidailhet, Marie [2 ,3 ,4 ]
Lehericy, Stephane [1 ,2 ,3 ,4 ]
机构
[1] Ctr Neurolmagerie Rech, Inst Cerveau Moelle, Paris, France
[2] Sorbonne Univ, Paris 06, UMR S 1127, CNRS UMR 7225,Inst Cerveau Moelle, F-75013 Paris, France
[3] Inst Cerveau Moelle Team Movement Invest & Therap, Paris, France
[4] Pitie Salpetriere, AP HP, Serv Neuroradiol, Paris, France
[5] Hop La Pitie Salpetriere, AP HP, Clin Mouvements Anormaux, Paris, France
[6] Hop La Pitie Salpetriere, AP HP, Dept Malad Syst Nerveux, Paris, France
[7] Hop La Pitie Salpetriere, AP HP, Serv Pathol Sommeil, Paris, France
关键词
PREDICTS COGNITIVE DECLINE; OBLIGATORY TRIGGER SITE; SLEEP BEHAVIOR DISORDER; DORSAL MOTOR NUCLEUS; ALPHA-SYNUCLEIN; COERULEUS/SUBCOERULEUS COMPLEX; SUBSTANTIA-NIGRA; DYSFUNCTION; PATHOLOGY; SYMPTOMS;
D O I
10.1212/WNL.0000000000011155
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Objectives The classic Braak neuropathologic staging model in Parkinson disease (PD) suggests that brain lesions progress from the medulla oblongata to the cortex. An alternative model in which neurodegeneration first occurs in the cortex has also been proposed. These 2 models may correspond to different patient phenotypes. To test these 2 models and to investigate whether they were influenced by the presence of REM sleep behavior disorder (RBD), we used multimodal MRI and partial least squares path modeling (PLS-PM) assuming that patients with RBD followed distinct neurodegeneration pattern. Methods Fifty-four patients with PD (34 with RBD) and 25 healthy volunteers were scanned with T1-weighted, diffusion tensor, and neuromelanin-sensitive imaging. Volume, signal, and mean, axial, and radial diffusivities were calculated in brainstem, basal forebrain, and cortical regions. PLS-PM, estimating a network of causal relationships between blocks of variables, was used to build and test an analytical model based on Braak staging. The overall quality of the model was assessed with goodness of fit coefficient (Gof). Results PLS-PM was run on patients with PD with RBD and without RBD separately. In PD with RBD, a brainstem-to-cortex model had significant Gof (0.71, p = 0.01), whereas a cortex-to-brainstem model did not. In contrast, in patients with PD without RBD, the brainstem-to-cortex model was not significant (Gof = 0.64, p = 0.27), and the cortex-to-brainstem model was highly significant (Gof = 0.72, p = 0.008). Conclusions With the PLS-PM imaging-based model, the neurodegeneration pattern of patients with PD with RBD was consistent with the Braak brainstem-to-cortex model, whereas that of patients without RBD followed the cortex-to-brainstem model.
引用
收藏
页码:E460 / E471
页数:12
相关论文
共 50 条
  • [21] Diagnosis of perception of drivers of deforestation using the partial least squares path modeling approach
    Abugre, Simon
    Sackey, Emmanuel Kwaku
    TREES FORESTS AND PEOPLE, 2022, 8
  • [22] Multidimensional model of apathy in older adults using partial least squares—path modeling
    Stéphane Raffard
    Catherine Bortolon
    Marianna Burca
    Marie-Christine Gely-Nargeot
    Delphine Capdevielle
    AGE, 2016, 38
  • [23] PARTIAL LEAST-SQUARES PATH MODELING WITH LATENT-VARIABLES
    GERLACH, RW
    KOWALSKI, BR
    WOLD, HOA
    ANALYTICA CHIMICA ACTA-COMPUTER TECHNIQUES AND OPTIMIZATION, 1979, 3 (04): : 417 - 421
  • [24] Goodness-of-fit indices for partial least squares path modeling
    Jörg Henseler
    Marko Sarstedt
    Computational Statistics, 2013, 28 : 565 - 580
  • [25] Rethinking Partial Least Squares Path Modeling: In Praise of Simple Methods
    Rigdon, Edward E.
    LONG RANGE PLANNING, 2012, 45 (5-6) : 341 - 358
  • [26] Goodness-of-fit indices for partial least squares path modeling
    Henseler, Jorg
    Sarstedt, Marko
    COMPUTATIONAL STATISTICS, 2013, 28 (02) : 565 - 580
  • [27] Error propagation of partial least squares for parameters optimization in NIR modeling
    Du, Chenzhao
    Dai, Shengyun
    Qiao, Yanjiang
    Wu, Zhisheng
    SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2018, 192 : 244 - 250
  • [28] Tide modeling using partial least squares regression
    Onuwa Okwuashi
    Christopher Ndehedehe
    Hosanna Attai
    Ocean Dynamics, 2020, 70 : 1089 - 1101
  • [29] Tide modeling using partial least squares regression
    Okwuashi, Onuwa
    Ndehedehe, Christopher
    Attai, Hosanna
    OCEAN DYNAMICS, 2020, 70 (08) : 1089 - 1101
  • [30] Multidimensional model of apathy in older adults using partial least squares-path modeling
    Raffard, Stephane
    Bortolon, Catherine
    Burca, Marianna
    Gely-Nargeot, Marie-Christine
    Capdevielle, Delphine
    AGE, 2016, 38 (03)