Comparative Study of MRI Biomarkers in the Substantia Nigra to Discriminate Idiopathic Parkinson Disease

Pyatigorskaya, Nadya; Magnin, Benoît; Mongin, M; Yahia-Chérif, Lydia; Valabrègue, Romain; Arnaldi, Dario; Ewenczyk, Claire; Poupon, Cyril; Vidailhet, Marie; Lehericy, Stéphane

doi:10.3174/ajnr.a5702

Cited by 55 publications

(80 citation statements)

References 36 publications

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“…Voxel‐wise volumetric analysis was carried out using SPM12 implemented in Matlab 2015a . Quantitative analysis of neuromelanin‐sensitive images was carried out using a previously validated method with good interrater and intrarater agreement . Diffusion data analysis was performed using FSL Diffusion Toolbox) (FMRIB Centre Software Library, Oxford University, UK).…”

Section: Methodsmentioning

confidence: 97%

“…9 Quantitative analysis of neuromelaninsensitive images was carried out using a previously validated method with good interrater and intrarater agreement. [10][11][12] Diffusion data analysis was performed using FSL Diffusion Toolbox) (FMRIB Centre Software Library, Oxford University, UK). Further details of the analysis can be found in Supplementary material.…”

Section: Genetic Analysismentioning

confidence: 99%

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PDE10A and ADCY5 mutations linked to molecular and microstructural basal ganglia pathology

et al. 2018

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Background Striatal cyclic adenosine monophosphate activity modulates movement and is determined from the balance between its synthesis by adenylate cyclase 5 (ADCY5) and its degradation by phosphodiesterase 10A (PDE10A). Objective We assessed the integrity of striatocortical pathways, in vivo, in 2 genetic hyperkinetic disorders caused by ADCY5 and PDE10A mutations. Methods We studied 6 subjects with PDE10A and ADCY5 mutations using [11C]IMA107 PET, [123I]FP‐CIT Single‐photon emission computed tomography (SPECT) and multimodal MRI to investigate PDE10A and dopamine transporter availability, neuromelanin‐containing neurons, and microstructural white and gray matter changes, respectively. Results We found that PDE10A and ADCY5 mutations were associated with decreased PDE10A expression in the striatum and globus pallidus, decreased dopamine transporter expression in the striatum, loss of substantia nigra neuromelanin‐containing neurons, and microstructural white and gray matter changes within the substantia nigra, striatum, thalamus, and frontoparietal cortices. Conclusions Our findings indicate an association between PDE10A and ADCY5 mutations and pre/postsynaptic molecular changes, substantia nigra damage, and white and gray matter changes within the striatocortical pathways. © 2018 International Parkinson and Movement Disorder Society

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Section: Methodsmentioning

confidence: 97%

Section: Genetic Analysismentioning

confidence: 99%

PDE10A and ADCY5 mutations linked to molecular and microstructural basal ganglia pathology

et al. 2018

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“…To evaluate the accuracy of segmentation for each setting, a second examiner performed the segmentations. For NM images, the contours of the SN were manually drawn around the area of high signal intensity as previously described . For 7T T2*‐w images, the SN was defined as the area of hypointensity ventral to the red nucleus and dorsal to the cerebral peduncle.…”

Section: Methodsmentioning

confidence: 99%

“…For NM images, the contours of the SN were manually drawn around the area of high signal intensity as previously described. 16 For 7T T2*-w images, the SN was defined as the area of hypointensity ventral to the red nucleus and dorsal to the cerebral peduncle. The STN was also manually segmented using 7T images.…”

Section: Regions Of Interestmentioning

confidence: 99%

Multimodal Magnetic Resonance Imaging Quantification of Brain Changes in Progressive Supranuclear Palsy

et al. 2019

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Background Progressive supranuclear palsy (PSP) is a neurodegenerative clinically heterogeneous disorder, formal diagnosis being based on postmortem histological brain examination. Objective We aimed to perform a precise in vivo staging of neurodegeneration in PSP using quantitative multimodal MRI. The ability of MRI biomarkers to differentiate PSP from PD was also evaluated. Methods Eleven PSP patients were compared to 26 age‐matched healthy controls and 51 PD patients. Images were acquired at 3 Tesla (three‐dimensional T1‐weighted, diffusion tensor, and neuromelanin‐sensitive images) and 7 Tesla (three‐dimensional‐T2* images). Regions of interest included the cortical areas, hippocampus, amygdala, basal ganglia, basal forebrain, brainstem nuclei, dentate nucleus, and cerebellum. Volumes, mean diffusivity, and fractional anisotropy were measured. In each region, a threshold value for group categorization was calculated, and four grades of change (0–3) were determined. Results PSP patients showed extensive volume decreases and diffusion changes in the midbrain, SN, STN, globus pallidus, basal forebrain, locus coeruleus, pedunculopontine nucleus, and dentate nucleus, in close agreement with the degrees of impairment in histological analyses. The predictive factors for the separation of PSP and healthy controls were, in descending order, the neuromelanin‐based SN volume; midbrain fractional anisotropy; volumes of the midbrain, globus pallidus, and putamen; and fractional anisotropy in the locus coeruleus. The best predictors for separating PSP from PD were the neuromelanin‐based volume in the SN, fractional anisotropy in the pons, volumes of the midbrain and globus pallidus, and fractional anisotropy in the basal forebrain. Conclusions These results suggest that it is possible to evaluate brain neurodegeneration in PSP noninvasively, even in small brainstem nuclei, in close agreement with previously published histological data. © 2019 International Parkinson and Movement Disorder Society

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“…In 1986, Duguid et al [17] observed a reduced width of SN pars compacta in patients with PD using a 1.5T scanner. Since then, several MR studies report a decrease in signal intensity [18][19][20][21][22][23][24][25][26][27][28] and volume or surface reduction [19,21,22,25,26,[28][29][30][31][32][33][34] of the SN in patients with PD. Moreover, discrimination between PD patients and other Parkinsonian syndromes also yields reliable results [29,35,36].…”

Section: Introductionmentioning

confidence: 99%

Semi-Automatic Signature-Based Segmentation Method for Quantification of Neuromelanin in Substantia Nigra

et al. 2019

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In Parkinson’s disease (PD), there is a reduction of neuromelanin (NM) in the substantia nigra (SN). Manual quantification of the NM volume in the SN is unpractical and time-consuming; therefore, we aimed to quantify NM in the SN with a novel semi-automatic segmentation method. Twenty patients with PD and twelve healthy subjects (HC) were included in this study. T1-weighted spectral pre-saturation with inversion recovery (SPIR) images were acquired on a 3T scanner. Manual and semi-automatic atlas-free local statistics signature-based segmentations measured the surface and volume of SN, respectively. Midbrain volume (MV) was calculated to normalize the data. Receiver operating characteristic (ROC) analysis was performed to determine the sensitivity and specificity of both methods. PD patients had significantly lower SN mean surface (37.7 ± 8.0 vs. 56.9 ± 6.6 mm2) and volume (235.1 ± 45.4 vs. 382.9 ± 100.5 mm3) than HC. After normalization with MV, the difference remained significant. For surface, sensitivity and specificity were 91.7 and 95 percent, respectively. For volume, sensitivity and specificity were 91.7 and 90 percent, respectively. Manual and semi-automatic segmentation methods of the SN reliably distinguished between PD patients and HC. ROC analysis shows the high sensitivity and specificity of both methods.

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Comparative Study of MRI Biomarkers in the Substantia Nigra to Discriminate Idiopathic Parkinson Disease

Cited by 55 publications

References 36 publications

PDE10A and ADCY5 mutations linked to molecular and microstructural basal ganglia pathology

PDE10A and ADCY5 mutations linked to molecular and microstructural basal ganglia pathology

Multimodal Magnetic Resonance Imaging Quantification of Brain Changes in Progressive Supranuclear Palsy

Semi-Automatic Signature-Based Segmentation Method for Quantification of Neuromelanin in Substantia Nigra

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