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Liu H, Zhong Y, Liu G, Su H, Liu Z, Wei J, Mo L, Tan C, Liu X, Chen L. Corpus callosum and cerebellum participate in semantic dysfunction of Parkinson's disease: a diffusion tensor imaging-based cross-sectional study. Neuroreport 2024; 35:366-373. [PMID: 38526949 DOI: 10.1097/wnr.0000000000002015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
Language dysfunction is common in Parkinson's disease (PD) patients, among which, the decline of semantic fluency is usually observed. This study aims to explore the relationship between white matter (WM) alterations and semantic fluency changes in PD patients. 127 PD patients from the Parkinson's Progression Markers Initiative cohort who received diffusion tensor imaging scanning, clinical assessment and semantic fluency test (SFT) were included. Tract-based special statistics, automated fiber quantification, graph-theoretical and network-based analyses were performed to analyze the correlation between WM structural changes, brain network features and semantic fluency in PD patients. Fractional anisotropy of corpus callosum, anterior thalamic radiation, inferior front-occipital fasciculus, and uncinate fasciculus, were positively correlated with SFT scores, while a negative correlation was identified between radial diffusion of the corpus callosum, inferior longitudinal fasciculus, and SFT scores. Automatic fiber quantification identified similar alterations with more details in these WM tracts. Brain network analysis positively correlated SFT scores with nodal efficiency of cerebellar lobule VIII, and nodal local efficiency of cerebellar lobule X. WM integrity and myelin integrity in the corpus callosum and several other language-related WM tracts may influence the semantic function in PD patients. Damage to the cerebellum lobule VIII and lobule X may also be involved in semantic dysfunction in PD patients.
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Affiliation(s)
- Hang Liu
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
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2
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Murdaugh DL, Milner D, Cardenas CE, Heinzman KA, Cooper CA, Tabb JN, Bhatia S, McDonald AM. Volumetric brain assessment of long-term head and neck cancer survivors. Radiother Oncol 2024; 191:110068. [PMID: 38142935 PMCID: PMC10922648 DOI: 10.1016/j.radonc.2023.110068] [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: 07/17/2023] [Revised: 12/11/2023] [Accepted: 12/19/2023] [Indexed: 12/26/2023]
Abstract
BACKGROUND Radiation therapy (RT) for locally advanced head and neck cancer (HNC) often exposes subcortical brain structures to radiation. We performed this study to assess region-specific brain volumetrics in a population of long term HNC survivors. METHODS AND MATERIALS Forty HNC survivors were enrolled at a mean of 6.4 years from completion of RT. Patients underwent a research MRI protocol that included a 3D T1- weighted whole-brain scan on a 3 Tesla MRI scanner. Voxel based morphometry was performed using the Computational Anatomy Toolbox with the Neuromorphometrics atlas. Healthy controls from the Human Connectome Project were used as a comparison cohort. Study participants also completed a comprehensive neurocognitive assessment. RESULTS The final study cohort consisted of 38 participants after excluding 2 participants due to image quality. HNC survivors displayed widespread reduction in gray matter (GM) brain region volumes that included bilateral medial frontal cortex, temporal lobe, hippocampus, supplemental motor area, and cerebellum. Greater radiation exposure was associated with reduced GM volume in the left ventral diencephalon (r = -0.512, p = 0.003). Associations between cognition and regional GM volumes were identified for motor coordination and bilateral cerebellum (left, r = 0.444, p = 0.009; right, r = 0.372, p = 0.030), confrontation naming and left amygdala (r = 0.382, p = 0.026), verbal memory and bilateral thalamus (left, r = 0.435, p = 0.010; right, r = 0.424, p = 0.012), right amygdala (r = 0.339, p = 0.050), and right putamen (r = 0.364, p = 0.034). CONCLUSIONS Reductions in GM were observed within this cohort of primarily non-nasopharyngeal HNC survivors as compared to a control sample. GM volumes were associated with performance in multiple cognitive domains. Results of this exploratory study support the need for investigation of anatomic brain changes as an important translational corollary to cognitive problems among HNC survivors.
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Affiliation(s)
- Donna L Murdaugh
- University of Alabama at Birmingham, Department of Radiation Oncology, United States; University of Alabama at Birmingham, Institute for Cancer Outcomes and Survivorship, United States; University of Alabama at Birmingham, Department of Pediatrics, United States
| | - Desmin Milner
- University of Alabama at Birmingham, Department of Radiology, United States
| | - Carlos E Cardenas
- University of Alabama at Birmingham, Department of Radiation Oncology, United States
| | - Katherine A Heinzman
- University of Alabama at Birmingham, Department of Radiation Oncology, United States; University of Alabama at Birmingham, Institute for Cancer Outcomes and Survivorship, United States
| | - Courtney A Cooper
- University of Alabama at Birmingham, Department of Radiation Oncology, United States; University of Alabama at Birmingham, Institute for Cancer Outcomes and Survivorship, United States
| | - Jazmyne N Tabb
- Brookwood Baptist Medical Center, Birmingham, AL, United States
| | - Smita Bhatia
- University of Alabama at Birmingham, Institute for Cancer Outcomes and Survivorship, United States; University of Alabama at Birmingham, Department of Pediatrics, United States
| | - Andrew M McDonald
- University of Alabama at Birmingham, Department of Radiation Oncology, United States; University of Alabama at Birmingham, Institute for Cancer Outcomes and Survivorship, United States.
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3
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Jellinger KA. Pathobiology of Cognitive Impairment in Parkinson Disease: Challenges and Outlooks. Int J Mol Sci 2023; 25:498. [PMID: 38203667 PMCID: PMC10778722 DOI: 10.3390/ijms25010498] [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: 11/23/2023] [Revised: 12/11/2023] [Accepted: 12/27/2023] [Indexed: 01/12/2024] Open
Abstract
Cognitive impairment (CI) is a characteristic non-motor feature of Parkinson disease (PD) that poses a severe burden on the patients and caregivers, yet relatively little is known about its pathobiology. Cognitive deficits are evident throughout the course of PD, with around 25% of subtle cognitive decline and mild CI (MCI) at the time of diagnosis and up to 83% of patients developing dementia after 20 years. The heterogeneity of cognitive phenotypes suggests that a common neuropathological process, characterized by progressive degeneration of the dopaminergic striatonigral system and of many other neuronal systems, results not only in structural deficits but also extensive changes of functional neuronal network activities and neurotransmitter dysfunctions. Modern neuroimaging studies revealed multilocular cortical and subcortical atrophies and alterations in intrinsic neuronal connectivities. The decreased functional connectivity (FC) of the default mode network (DMN) in the bilateral prefrontal cortex is affected already before the development of clinical CI and in the absence of structural changes. Longitudinal cognitive decline is associated with frontostriatal and limbic affections, white matter microlesions and changes between multiple functional neuronal networks, including thalamo-insular, frontoparietal and attention networks, the cholinergic forebrain and the noradrenergic system. Superimposed Alzheimer-related (and other concomitant) pathologies due to interactions between α-synuclein, tau-protein and β-amyloid contribute to dementia pathogenesis in both PD and dementia with Lewy bodies (DLB). To further elucidate the interaction of the pathomechanisms responsible for CI in PD, well-designed longitudinal clinico-pathological studies are warranted that are supported by fluid and sophisticated imaging biomarkers as a basis for better early diagnosis and future disease-modifying therapies.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, A-1150 Vienna, Austria
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4
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Zhai H, Fan W, Xiao Y, Zhu Z, Ding Y, He C, Zhang W, Xu Y, Zhang Y. Voxel-based morphometry of grey matter structures in Parkinson's Disease with wearing-off. Brain Imaging Behav 2023; 17:725-737. [PMID: 37735325 PMCID: PMC10733201 DOI: 10.1007/s11682-023-00793-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/28/2023] [Indexed: 09/23/2023]
Abstract
Our study aimed to investigate the grey matter (GM) changes using voxel-based morphometry (VBM) in Parkinson's disease (PD) patients with wearing-off (WO). 3D-T1-weighted imaging was performed on 48 PD patients without wearing-off (PD-nWO), 39 PD patients with wearing-off (PD-WO) and 47 age and sex-matched healthy controls (HCs). 3D structural images were analyzed by VBM procedure with Statistical Parametric Mapping (SPM12) to detect grey matter volume. Widespread areas of grey matter changes were found in patients among three groups (in bilateral frontal, temporal lobes, lingual gyrus, inferior occipital gyrus, right precuneus, right superior parietal gyrus and right cerebellum). Grey matter reductions were found in frontal lobe (right middle frontal gyrus, superior frontal gyrus and precentral gyrus), right parietal lobe (precuneus, superior parietal gyrus, postcentral gyrus), right temporal lobe (superior temporal gyrus, middle temporal gyrus), bilateral lingual gyrus and inferior occipital gyrus in PD-WO group compared with the PD-nWO group. Our results suggesting that wearing-off may be associated with grey matter atrophy in the cortical areas. These findings may aid in a better understanding of the brain degeneration process in PD with wearing-off.
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Affiliation(s)
- Heng Zhai
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong Province, China
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei Province, China
| | - Wenliang Fan
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei Province, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, Hubei Province, China
| | - Yan Xiao
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei Province, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, Hubei Province, China
| | - Zhipeng Zhu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei Province, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, Hubei Province, China
| | - Ying Ding
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei Province, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, Hubei Province, China
| | - Chentao He
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong Province, China
| | - Wei Zhang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei Province, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, Hubei Province, China
| | - Yan Xu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei Province, China
| | - Yuhu Zhang
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong Province, China.
- Guangzhou Key Laboratory of Diagnosis and Treatment for Neurodegenerative Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
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5
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Fukunaga K, Fujiwara Y, Enzaki M, Komi M, Hirai T, Azuma M. [Usefulness of Voxel-Based Quantification (VBQ) Smoothing in Relaxation Time Mapping]. Nihon Hoshasen Gijutsu Gakkai Zasshi 2023; 79:913-922. [PMID: 37544734 DOI: 10.6009/jjrt.2023-1378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
PURPOSE Voxel-based quantification (VBQ) smoothing is a technique used to smooth quantitative parametric maps in the Montreal Neurological Institute standard space. Although VBQ smoothing could suppress changes in quantitative values at tissue boundaries, its effectiveness on relaxation time (T1 and T2 values and proton density PD) maps has not been investigated. The purpose of this study was to clarify the usefulness of VBQ smoothing in relaxation time mapping. METHOD T1 and T2 values and PD maps of the brains of 20 healthy participants were obtained using a two-dimensional multi-dynamic multi-echo sequence. VBQ and Gaussian smoothing were applied to the relaxation time maps by varying the kernel size by 1 mm from 1 to 6 mm. Changes in relaxation time before and after VBQ and Gaussian smoothing for the putamen, caudate nucleus, substantia nigra, and corpus callosum on the relaxation time maps were evaluated. RESULT The changes in relaxation time after VBQ smoothing application were smaller than those in that after Gaussian smoothing application. Although the differences in the relaxation time for all tissues before and after VBQ and Gaussian smoothing applications increased with increasing kernel size for all relaxation times for both methods, the changes in the relaxation time for VBQ smoothing were smaller than those in that for Gaussian smoothing. CONCLUSION VBQ smoothing can suppress the change in the relaxation time on the boundary of the tissue and is thus a useful smoothing technique in relaxation time mapping.
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Affiliation(s)
- Kota Fukunaga
- Graduate School of Health Sciences, Kumamoto University
| | - Yasuhiro Fujiwara
- Department of Medical Image Sciences, Faculty of Life Sciences, Kumamoto University
| | | | | | - Toshinori Hirai
- Department of Diagnostic Radiology, Faculty of Medicine, Kumamoto University
| | - Minako Azuma
- Department of Radiology, Faculty of Medicine, University of Miyazaki
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6
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Bergamino M, Nelson MR, Numani A, Scarpelli M, Healey D, Fuentes A, Turner G, Stokes AM. Assessment of complementary white matter microstructural changes and grey matter atrophy in a preclinical model of Alzheimer's disease. Magn Reson Imaging 2023; 101:57-66. [PMID: 37028608 DOI: 10.1016/j.mri.2023.03.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 03/30/2023] [Accepted: 03/31/2023] [Indexed: 04/08/2023]
Abstract
Alzheimer's disease (AD) has been associated with amyloid and tau pathology, as well as neurodegeneration. Beyond these hallmark features, white matter microstructural abnormalities have been observed using MRI. The objective of this study was to assess grey matter atrophy and white matter microstructural changes in a preclinical mouse model of AD (3xTg-AD) using voxel-based morphometry (VBM) and free-water (FW) diffusion tensor imaging (FW-DTI). Compared to controls, lower grey matter density was observed in the 3xTg-AD model, corresponding to the small clusters in the caudate-putamen, hypothalamus, and cortex. DTI-based fractional anisotropy (FA) was decreased in the 3xTg model, while the FW index was increased. Notably, the largest clusters for both FW-FA and FW index were in the fimbria, with other regions including the anterior commissure, corpus callosum, forebrain septum, and internal capsule. Additionally, the presence of amyloid and tau in the 3xTg model was confirmed with histopathology, with significantly higher levels observed across many regions of the brain. Taken together, these results are consistent with subtle neurodegenerative and white matter microstructural changes in the 3xTg-AD model that manifest as increased FW, decreased FW-FA, and decreased grey matter density.
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Affiliation(s)
- Maurizio Bergamino
- Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Megan R Nelson
- Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Asfia Numani
- Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Matthew Scarpelli
- Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Deborah Healey
- Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Alberto Fuentes
- Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Gregory Turner
- Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Ashley M Stokes
- Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ 85013, USA.
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7
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Application of Artificial Intelligence in Image Processing of Neurodegenerative Disorders: A Review Study. Neuromodulation 2023. [DOI: 10.5812/ipmn-134223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
: Neurodegenerative diseases can make life difficult and lead to death in many cases. They also can be difficult, time-consuming, and costly to diagnose with enough accuracy/certainty. Artificial intelligence (AI) has shown promise in tackling some of the challenges present in medical imaging and is anticipated to become a crucial tool in health care applications in the near future. In particular, deep learning methods have displayed great performance in various subfields of image processing, including but not limited to image segmentation, image synthesis, and image reconstruction. In this paper, many state-of-the-art applications of deep learning models in image processing were reviewed.
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8
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The structural changes of gray matter in Parkinson disease patients with mild cognitive impairments. PLoS One 2022; 17:e0269787. [PMID: 35857782 PMCID: PMC9299333 DOI: 10.1371/journal.pone.0269787] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 05/30/2022] [Indexed: 11/19/2022] Open
Abstract
Objectives
Parkinson disease (PD) is associated with cognitive impairments. However, the underlying neural mechanism of cognitive impairments in PD is still not clear. This study aimed to investigate the anatomic alternations of gray matter in PD patients with mild cognitive impairment (MCI) and their associations with neurocognitive measurements.
Methods
T1-weighted magnetic resonance imaging (MRI) data were acquired from 23 PD patients with MCI, 23 PD patients without MCI, and 23 matched healthy controls. The MRI data were analyzed using voxel-based morphometry (VBM) and surfaced-based morphometry (SBM) methods to assess the structural changes in gray matter volume and cortical thickness respectively. Receiver operating characteristic (ROC) analysis was used to examine the diagnostic accuracies of the indexes of interest. The correlations between the structural metrics and neurocognitive assessments (e.g., Montreal cognitive assessment, MOCA; Mini-mental state examination, MMSE) were further examined.
Results
PD patients with MCI showed reduced gray matter volume (GMV) in the frontal cortex (e.g., right inferior frontal gyrus and middle frontal gyrus) and extended to insula as well as cerebellum compared with the healthy controls and PD patients without MIC. Thinner of cortical thickens in the temporal lobe (e.g., left middle temporal gyrus and right superior temporal gyrus) extending to parietal cortex (e.g., precuneus) were found in the PD patients with MCI relative to the healthy controls and PD patients without MCI.ROC analysis indicated that the area under the ROC curve (AUC) values in the frontal, temporal, and subcortical structures (e.g., insula and cerebellum) could differentiate the PD patients with MCI and without MCI and healthy controls. Furthermore, GMV of the right middle frontal gyrus and cortical thickness of the right superior temporal gyrus were correlated with neurocognitive dysfunctions (e.g., MOCA and MMSE) in PD patients with MCI.
Conclusion
This study provided further evidence that PD with MCI was associated with structural alternations of brain. Morphometric analysis focusing on the cortical and subcortical regions could be biomarkers of cognitive impairments in PD patients.
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9
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Morphological basis of Parkinson disease-associated cognitive impairment: an update. J Neural Transm (Vienna) 2022; 129:977-999. [PMID: 35726096 DOI: 10.1007/s00702-022-02522-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 05/25/2022] [Indexed: 12/15/2022]
Abstract
Cognitive impairment is one of the most salient non-motor symptoms of Parkinson disease (PD) that poses a significant burden on the patients and carers as well as being a risk factor for early mortality. People with PD show a wide spectrum of cognitive dysfunctions ranging from subjective cognitive decline and mild cognitive impairment (MCI) to frank dementia. The mean frequency of PD with MCI (PD-MCI) is 25.8% and the pooled dementia frequency is 26.3% increasing up to 83% 20 years after diagnosis. A better understanding of the underlying pathological processes will aid in directing disease-specific treatment. Modern neuroimaging studies revealed considerable changes in gray and white matter in PD patients with cognitive impairment, cortical atrophy, hypometabolism, dopamine/cholinergic or other neurotransmitter dysfunction and increased amyloid burden, but multiple mechanism are likely involved. Combined analysis of imaging and fluid markers is the most promising method for identifying PD-MCI and Parkinson disease dementia (PDD). Morphological substrates are a combination of Lewy- and Alzheimer-associated and other concomitant pathologies with aggregation of α-synuclein, amyloid, tau and other pathological proteins in cortical and subcortical regions causing destruction of essential neuronal networks. Significant pathological heterogeneity within PD-MCI reflects deficits in various cognitive domains. This review highlights the essential neuroimaging data and neuropathological changes in PD with cognitive impairment, the amount and topographical distribution of pathological protein aggregates and their pathophysiological relevance. Large-scale clinicopathological correlative studies are warranted to further elucidate the exact neuropathological correlates of cognitive impairment in PD and related synucleinopathies as a basis for early diagnosis and future disease-modifying therapies.
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Kang SH, Chung SJ, Lee J, Koh SB. Independent effect of neurogenic orthostatic hypotension on mild cognitive impairment in Parkinson's disease. Clin Auton Res 2021; 32:43-50. [PMID: 34841452 DOI: 10.1007/s10286-021-00841-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 11/18/2021] [Indexed: 11/26/2022]
Abstract
PURPOSE Orthostatic hypotension (OH) is an associative or causative factor of cognitive impairment in Parkinson's disease (PD). However, the association between mild cognitive impairment (MCI) and neurogenic OH directly associated with the presence of alpha-synuclein in PD remains unclear. We aimed to evaluate the relationship between MCI and neurogenic OH in patients with de novo PD. We also investigated the patterns of neuropsychological performance according to neurogenic OH. METHODS A total of 456 patients with PD-normal cognition (PD-NC, n = 204) or PD-MCI (n = 252) were recruited from multiple centers in Korea. All patients underwent comprehensive neuropsychological tests and tilt-table tests to evaluate cognitive function and neurogenic OH. We used logistic regression analysis and multivariate analysis of covariance to determine the association between MCI and neurogenic OH and the pattern of neuropsychological performance according to neurogenic OH. RESULTS Neurogenic OH (odds ratio = 3.66, 95% confidence interval 2.06 to 6.47) was independently associated with MCI in patients with de novo PD, regardless of orthostatic symptoms, while nonneurogenic OH was not. Patients with PD with neurogenic OH exhibited worse performance in frontal-executive function and visual memory function than those without neurogenic OH. CONCLUSION Our findings provide insight into neurogenic OH as an important clinical factor with cognitive impairment in individuals with PD and vice versa. Therefore, the evaluation of cognitive function is necessary in PD patients with neurogenic OH.
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Affiliation(s)
- Sung Hoon Kang
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08308, Korea
| | - Su Jin Chung
- Department of Neurology, Myongji Hospital, Hanyang University College of Medicine, Goyang, Korea
| | - Jungyeun Lee
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08308, Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08308, Korea.
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Rémillard-Pelchat D, Rahayel S, Gaubert M, Postuma RB, Montplaisir J, Pelletier A, Monchi O, Brambati SM, Carrier J, Gagnon JF. Comprehensive Analysis of Brain Volume in REM Sleep Behavior Disorder with Mild Cognitive Impairment. JOURNAL OF PARKINSONS DISEASE 2021; 12:229-241. [PMID: 34690149 DOI: 10.3233/jpd-212691] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Rapid-eye-movement sleep behavior disorder (RBD) is a major risk factor for Parkinson's disease and dementia with Lewy bodies. More than a third of RBD patients have mild cognitive impairment (MCI), but their specific structural brain alterations remain poorly understood. OBJECTIVE This study aimed to investigate the local deformation and volume of gray and white matter tissue underlying MCI in RBD. METHODS Fifty-two idiopathic RBD patients, including 17 with MCI (33%), underwent polysomnography, neuropsychological, neurological, and magnetic resonance imaging assessments. MCI diagnosis was based on a subjective complaint, cognitive impairment on the neuropsychological battery, and preserved daily functioning. Forty-one controls were also included. Deformation-based morphometry (DBM), voxel-based morphometry (VBM), and regional volume analyses of the corpus callosum and basal forebrain cholinergic were performed. Multiple regressions models were also computed using anatomical, cognitive (composite z score), and motor parameters. RESULTS Globally, patients with MCI displayed a widespread pattern of local deformation and volume atrophy in the cortical (bilateral insula, cingulate cortex, precuneus, frontal and temporal regions, right angular gyrus, and mid-posterior segment of the corpus callosum) and subcortical (brainstem, corona radiata, basal ganglia, thalamus, amygdala, and right hippocampus) regions compared to patients without MCI (DBM) or controls (DBM and VBM). Moreover, brain deformation (DBM) in patients were associated with lower performance in attention and executive functions, visuospatial abilities, and higher motor symptoms severity. CONCLUSION The present study identified novel brain structural alterations in RBD patients with MCI which correlated with poorer cognitive performance. These results are consistent with those reported in patients with synucleinopathies-related cognitive impairment.
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Affiliation(s)
- David Rémillard-Pelchat
- Center for Advanced Research in Sleep Medicine, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord-de-l'Île-de-Montréal -Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada.,Department of Psychology, Université du Québec à Montréal, Montreal, Quebec, Canada
| | - Shady Rahayel
- Center for Advanced Research in Sleep Medicine, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord-de-l'Île-de-Montréal -Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada.,Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
| | - Malo Gaubert
- Center for Advanced Research in Sleep Medicine, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord-de-l'Île-de-Montréal -Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada.,Department of Psychology, Université du Québec à Montréal, Montreal, Quebec, Canada
| | - Ronald B Postuma
- Center for Advanced Research in Sleep Medicine, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord-de-l'Île-de-Montréal -Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada.,Department of Neurology, Montreal General Hospital, Montreal, Quebec, Canada.,Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Jacques Montplaisir
- Center for Advanced Research in Sleep Medicine, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord-de-l'Île-de-Montréal -Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada.,Department of Psychiatry, Université de Montréal, Montreal, Quebec, Canada
| | - Amélie Pelletier
- Center for Advanced Research in Sleep Medicine, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord-de-l'Île-de-Montréal -Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada.,Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Oury Monchi
- Department of Radiology, Radio-Oncology, and Nuclear Medicine, Université de Montréal, Montreal, Quebec, Canada.,Departments of Clinical Neurosciences, Radiology, and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Simona Maria Brambati
- Research Centre, Institut universitaire de gériatrie de Montréal, Montreal, Quebec, Canada.,Department of Psychology, Université de Montréal, Montreal, Quebec, Canada
| | - Julie Carrier
- Center for Advanced Research in Sleep Medicine, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord-de-l'Île-de-Montréal -Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada.,Research Centre, Institut universitaire de gériatrie de Montréal, Montreal, Quebec, Canada.,Department of Psychology, Université de Montréal, Montreal, Quebec, Canada
| | - Jean-François Gagnon
- Center for Advanced Research in Sleep Medicine, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord-de-l'Île-de-Montréal -Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada.,Department of Psychology, Université du Québec à Montréal, Montreal, Quebec, Canada.,Research Centre, Institut universitaire de gériatrie de Montréal, Montreal, Quebec, Canada
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12
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Neuropsychiatric and Cognitive Deficits in Parkinson's Disease and Their Modeling in Rodents. Biomedicines 2021; 9:biomedicines9060684. [PMID: 34204380 PMCID: PMC8234051 DOI: 10.3390/biomedicines9060684] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 06/08/2021] [Accepted: 06/09/2021] [Indexed: 11/29/2022] Open
Abstract
Parkinson’s disease (PD) is associated with a large burden of non-motor symptoms including olfactory and autonomic dysfunction, as well as neuropsychiatric (depression, anxiety, apathy) and cognitive disorders (executive dysfunctions, memory and learning impairments). Some of these non-motor symptoms may precede the onset of motor symptoms by several years, and they significantly worsen during the course of the disease. The lack of systematic improvement of these non-motor features by dopamine replacement therapy underlines their multifactorial origin, with an involvement of monoaminergic and cholinergic systems, as well as alpha-synuclein pathology in frontal and limbic cortical circuits. Here we describe mood and neuropsychiatric disorders in PD and review their occurrence in rodent models of PD. Altogether, toxin-based rodent models of PD indicate a significant but non-exclusive contribution of mesencephalic dopaminergic loss in anxiety, apathy, and depressive-like behaviors, as well as in learning and memory deficits. Gene-based models display significant deficits in learning and memory, as well as executive functions, highlighting the contribution of alpha-synuclein pathology to these non-motor deficits. Collectively, neuropsychiatric and cognitive deficits are recapitulated to some extent in rodent models, providing partial but nevertheless useful options to understand the pathophysiology of non-motor symptoms and develop therapeutic options for these debilitating symptoms of PD.
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13
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Central nervous system (CNS) transcriptomic correlates of human immunodeficiency virus (HIV) brain RNA load in HIV-infected individuals. Sci Rep 2021; 11:12176. [PMID: 34108514 PMCID: PMC8190104 DOI: 10.1038/s41598-021-88052-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Accepted: 02/26/2021] [Indexed: 11/08/2022] Open
Abstract
To generate new mechanistic hypotheses on the pathogenesis and disease progression of neuroHIV and identify novel therapeutic targets to improve neuropsychological function in people with HIV, we investigated host genes and pathway dysregulations associated with brain HIV RNA load in gene expression profiles of the frontal cortex, basal ganglia, and white matter of HIV+ patients. Pathway analyses showed that host genes correlated with HIV expression in all three brain regions were predominantly related to inflammation, neurodegeneration, and bioenergetics. HIV RNA load directly correlated particularly with inflammation genesets representative of cytokine signaling, and this was more prominent in white matter and the basal ganglia. Increases in interferon signaling were correlated with high brain HIV RNA load in the basal ganglia and the white matter although not in the frontal cortex. Brain HIV RNA load was inversely correlated with genesets that are indicative of neuronal and synaptic genes, particularly in the cortex, indicative of synaptic injury and neurodegeneration. Brain HIV RNA load was inversely correlated with genesets that are representative of oxidative phosphorylation, electron transfer, and the tricarboxylic acid cycle in all three brain regions. Mitochondrial dysfunction has been implicated in the toxicity of some antiretrovirals, and these results indicate that mitochondrial dysfunction is also associated with productive HIV infection. Genes and pathways correlated with brain HIV RNA load suggest potential therapeutic targets to ameliorate neuropsychological functioning in people living with HIV.
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14
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Beyond Alzheimer's disease: Can bilingualism be a more generalized protective factor in neurodegeneration? Neuropsychologia 2020; 147:107593. [PMID: 32882240 DOI: 10.1016/j.neuropsychologia.2020.107593] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 07/10/2020] [Accepted: 08/26/2020] [Indexed: 01/18/2023]
Abstract
Bilingualism has been argued to have an impact on cognition and brain structure. Effects have been reported across the lifespan: from healthy children to ageing adults, including clinical (ageing) populations. It has been argued that active bilingualism may significantly contribute to the delaying of the expression of Alzheimer's disease symptoms. If bilingualism plays an ameliorative role against the expression of neurodegeneration in dementia, it is possible that it could have similar effects for other neurodegenerative disorders, including Multiple Sclerosis, Parkinson's and Huntington's Diseases. To date, however, direct relevant evidence remains limited, not least because the necessary scientific motivations for investigating this with greater depth have not yet been fully articulated. Herein, we provide a roadmap that reviews the relevant literatures, highlighting potential links across neurodegenerative disorders and bilingualism more generally.
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15
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Qin B, Yang MX, Gao W, Zhang JD, Zhao LB, Qin HX, Chen H. Voxel-wise meta-analysis of structural changes in gray matter of Parkinson's disease patients with mild cognitive impairment. ACTA ACUST UNITED AC 2020; 53:e9275. [PMID: 32428131 PMCID: PMC7266500 DOI: 10.1590/1414-431x20209275] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 02/21/2020] [Indexed: 11/25/2022]
Abstract
Evidence from previous voxel-based morphometry (VBM) studies indicates that widespread brain regions are involved in Parkinson’s disease with mild cognitive impairment (PD-MCI). However, the spatial localization reported for gray matter (GM) abnormalities is heterogeneous. The aim of the present study was to quantitatively integrate studies on GM abnormalities observed in PD-MCI in order to determine whether a pattern exists. Eligible whole-brain VBM studies were identified by a systematic search of articles in PubMed and EMBASE databases spanning from 1995 to January 1, 2019. A meta-analysis was performed to investigate regional GM abnormalities in PD-MCI. The anisotropic effect size version of seed-based d mapping (AES-SDM) meta-analysis was conducted to explore the GMV differences of PD-MCI compared with PD patients with normal cognitive function (PD-NC). A total of 12 studies comprising 243 PD-MCI patients and 326 PD-NC were included in the meta-analysis. PD-MCI patients showed a robust GM decrease in the left insula and left superior temporal gyrus. Moreover, meta-regression analysis demonstrated that age, PD duration and stage, and Unified Parkinson’s Disease Rating Scale III and Mini-Mental State Examination scores might be partly correlated with the GM abnormalities observed in PD-MCI patients. The convergent findings of this quantitative meta-analysis revealed a characteristic neuroanatomical pattern in PD-MCI. The findings provide some evidence that MCI in PD may result in the breakdown of the insula and temporal gyrus, which may serve as specific regions of interest for further investigations.
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Affiliation(s)
- B Qin
- Department of Neurology, Affiliated Liuzhou People's Hospital of Guangxi University of Science and Technology/Liuzhou People's Hospital, Liuzhou, Guangxi, China
| | - M X Yang
- Department of Neurology, Affiliated Liuzhou People's Hospital of Guangxi University of Science and Technology/Liuzhou People's Hospital, Liuzhou, Guangxi, China
| | - W Gao
- Department of Neurology, Affiliated Liuzhou People's Hospital of Guangxi University of Science and Technology/Liuzhou People's Hospital, Liuzhou, Guangxi, China
| | - J D Zhang
- Department of Neurology, Affiliated Liuzhou People's Hospital of Guangxi University of Science and Technology/Liuzhou People's Hospital, Liuzhou, Guangxi, China
| | - L B Zhao
- Department of Neurology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China
| | - H X Qin
- Department of Neurology, Affiliated Liuzhou People's Hospital of Guangxi University of Science and Technology/Liuzhou People's Hospital, Liuzhou, Guangxi, China
| | - H Chen
- Department of Neurology, Affiliated Liuzhou People's Hospital of Guangxi University of Science and Technology/Liuzhou People's Hospital, Liuzhou, Guangxi, China
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16
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Holmes RB, Negus IS, Wiltshire SJ, Thorne GC, Young P. Creation of an anthropomorphic CT head phantom for verification of image segmentation. Med Phys 2020; 47:2380-2391. [PMID: 32160322 PMCID: PMC7383927 DOI: 10.1002/mp.14127] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Revised: 02/21/2020] [Accepted: 02/21/2020] [Indexed: 12/25/2022] Open
Abstract
Purpose Many methods are available to segment structural magnetic resonance (MR) images of the brain into different tissue types. These have generally been developed for research purposes but there is some clinical use in the diagnosis of neurodegenerative diseases such as dementia. The potential exists for computed tomography (CT) segmentation to be used in place of MRI segmentation, but this will require a method to verify the accuracy of CT processing, particularly if algorithms developed for MR are used, as MR has notably greater tissue contrast. Methods To investigate these issues we have created a three‐dimensional (3D) printed brain with realistic Hounsfield unit (HU) values based on tissue maps segmented directly from an individual T1 MRI scan of a normal subject. Several T1 MRI scans of normal subjects from the ADNI database were segmented using SPM12 and used to create stereolithography files of different tissues for 3D printing. The attenuation properties of several material blends were investigated, and three suitable formulations were used to print an object expected to have realistic geometry and attenuation properties. A skull was simulated by coating the object with plaster of Paris impregnated bandages. Using two CT scanners, the realism of the phantom was assessed by the measurement of HU values, SPM12 segmentation and comparison with the source data used to create the phantom. Results Realistic relative HU values were measured although a subtraction of 60 was required to obtain equivalence with the expected values (gray matter 32.9–35.8 phantom, 29.9–34.2 literature). Segmentation of images acquired at different kVps/mAs showed excellent agreement with the source data (Dice Similarity Coefficient 0.79 for gray matter). The performance of two scanners with two segmentation methods was compared, with the scanners found to have similar performance and with one segmentation method clearly superior to the other. Conclusion The ability to use 3D printing to create a realistic (in terms of geometry and attenuation properties) head phantom has been demonstrated and used in an initial assessment of CT segmentation accuracy using freely available software developed for MRI.
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Affiliation(s)
- Robin B Holmes
- Department of Medical Physics and Bioengineering, University Hospitals Bristol NHS Foundation Trust, Bristol, BS28HW, UK
| | - Ian S Negus
- Department of Medical Physics and Bioengineering, University Hospitals Bristol NHS Foundation Trust, Bristol, BS28HW, UK
| | - Sophie J Wiltshire
- Department of Medical Physics and Bioengineering, University Hospitals Bristol NHS Foundation Trust, Bristol, BS28HW, UK
| | - Gareth C Thorne
- Department of Medical Physics and Bioengineering, University Hospitals Bristol NHS Foundation Trust, Bristol, BS28HW, UK
| | - Peter Young
- Umea Functional Brain Imaging Center, Umea University, 901 87, Umea, Sweden
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17
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Fiory F, Perruolo G, Cimmino I, Cabaro S, Pignalosa FC, Miele C, Beguinot F, Formisano P, Oriente F. The Relevance of Insulin Action in the Dopaminergic System. Front Neurosci 2019; 13:868. [PMID: 31474827 PMCID: PMC6706784 DOI: 10.3389/fnins.2019.00868] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 08/02/2019] [Indexed: 12/13/2022] Open
Abstract
The advances in medicine, together with lifestyle modifications, led to a rising life expectancy. Unfortunately, however, aging is accompanied by an alarming boost of age-associated chronic pathologies, including neurodegenerative and metabolic diseases. Interestingly, a non-negligible interplay between alterations of glucose homeostasis and brain dysfunction has clearly emerged. In particular, epidemiological studies have pointed out a possible association between Type 2 Diabetes (T2D) and Parkinson’s Disease (PD). Insulin resistance, one of the major hallmark for etiology of T2D, has a detrimental influence on PD, negatively affecting PD phenotype, accelerating its progression and worsening cognitive impairment. This review aims to provide an exhaustive analysis of the most recent evidences supporting the key role of insulin resistance in PD pathogenesis. It will focus on the relevance of insulin in the brain, working as pro-survival neurotrophic factor and as a master regulator of neuronal mitochondrial function and oxidative stress. Insulin action as a modulator of dopamine signaling and of alpha-synuclein degradation will be described in details, too. The intriguing idea that shared deregulated pathogenic pathways represent a link between PD and insulin resistance has clinical and therapeutic implications. Thus, ongoing studies about the promising healing potential of common antidiabetic drugs such as metformin, exenatide, DPP IV inhibitors, thiazolidinediones and bromocriptine, will be summarized and the rationale for their use to decelerate neurodegeneration will be critically assessed.
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Affiliation(s)
- Francesca Fiory
- Department of Translational Medicine, University of Naples Federico II, Naples, Italy.,URT "Genomic of Diabetes," Institute of Experimental Endocrinology and Oncology, National Research Council, Naples, Italy
| | - Giuseppe Perruolo
- Department of Translational Medicine, University of Naples Federico II, Naples, Italy.,URT "Genomic of Diabetes," Institute of Experimental Endocrinology and Oncology, National Research Council, Naples, Italy
| | - Ilaria Cimmino
- Department of Translational Medicine, University of Naples Federico II, Naples, Italy.,URT "Genomic of Diabetes," Institute of Experimental Endocrinology and Oncology, National Research Council, Naples, Italy
| | - Serena Cabaro
- Department of Translational Medicine, University of Naples Federico II, Naples, Italy.,URT "Genomic of Diabetes," Institute of Experimental Endocrinology and Oncology, National Research Council, Naples, Italy
| | - Francesca Chiara Pignalosa
- Department of Translational Medicine, University of Naples Federico II, Naples, Italy.,URT "Genomic of Diabetes," Institute of Experimental Endocrinology and Oncology, National Research Council, Naples, Italy
| | - Claudia Miele
- Department of Translational Medicine, University of Naples Federico II, Naples, Italy.,URT "Genomic of Diabetes," Institute of Experimental Endocrinology and Oncology, National Research Council, Naples, Italy
| | - Francesco Beguinot
- Department of Translational Medicine, University of Naples Federico II, Naples, Italy.,URT "Genomic of Diabetes," Institute of Experimental Endocrinology and Oncology, National Research Council, Naples, Italy
| | - Pietro Formisano
- Department of Translational Medicine, University of Naples Federico II, Naples, Italy.,URT "Genomic of Diabetes," Institute of Experimental Endocrinology and Oncology, National Research Council, Naples, Italy
| | - Francesco Oriente
- Department of Translational Medicine, University of Naples Federico II, Naples, Italy.,URT "Genomic of Diabetes," Institute of Experimental Endocrinology and Oncology, National Research Council, Naples, Italy
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18
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Weil RS, Hsu JK, Darby RR, Soussand L, Fox MD. Neuroimaging in Parkinson's disease dementia: connecting the dots. Brain Commun 2019; 1:fcz006. [PMID: 31608325 PMCID: PMC6777517 DOI: 10.1093/braincomms/fcz006] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 05/17/2019] [Accepted: 06/14/2019] [Indexed: 12/11/2022] Open
Abstract
Dementia is a common and devastating symptom of Parkinson's disease but the anatomical substrate remains unclear. Some evidence points towards hippocampal involvement but neuroimaging abnormalities have been reported throughout the brain and are largely inconsistent across studies. Here, we test whether these disparate neuroimaging findings for Parkinson's disease dementia localize to a common brain network. We used a literature search to identify studies reporting neuroimaging correlates of Parkinson's dementia (11 studies, 385 patients). We restricted our search to studies of brain atrophy and hypometabolism that compared Parkinson's patients with dementia to those without cognitive involvement. We used a standard coordinate-based activation likelihood estimation meta-analysis to assess for consistency in the neuroimaging findings. We then used a new approach, coordinate-based network mapping, to test whether neuroimaging findings localized to a common brain network. This approach uses resting-state functional connectivity from a large cohort of normative subjects (n = 1000) to identify the network of regions connected to a reported neuroimaging coordinate. Activation likelihood estimation meta-analysis failed to identify any brain regions consistently associated with Parkinson's dementia, showing major heterogeneity across studies. In contrast, coordinate-based network mapping found that these heterogeneous neuroimaging findings localized to a specific brain network centred on the hippocampus. Next, we tested whether this network showed symptom specificity and stage specificity by performing two further analyses. We tested symptom specificity by examining studies of Parkinson's hallucinations (9 studies, 402 patients) that are frequently co-morbid with Parkinson's dementia. We tested for stage specificity by using studies of mild cognitive impairment in Parkinson's disease (15 studies, 844 patients). Coordinate-based network mapping revealed that correlates of visual hallucinations fell within a network centred on bilateral lateral geniculate nucleus and correlates of mild cognitive impairment in Parkinson's disease fell within a network centred on posterior default mode network. In both cases, the identified networks were distinct from the hippocampal network of Parkinson's dementia. Our results link heterogeneous neuroimaging findings in Parkinson's dementia to a common network centred on the hippocampus. This finding was symptom and stage-specific, with implications for understanding Parkinson's dementia and heterogeneity of neuroimaging findings in general.
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Affiliation(s)
- Rimona S Weil
- Dementia Research Centre, UCL, London,Wellcome Centre for Human Neuroimaging, UCL, London,Berenson-Allen Center, Beth Israel Deaconess Medical Center, Harvard Medical Center, Boston, MA, USA,Correspondence to: Rimona S. Weil UCL Dementia Research Centre, 8-11 Queen Square, London WC1N 3BG UK E-mail:
| | - Joey K Hsu
- Berenson-Allen Center, Beth Israel Deaconess Medical Center, Harvard Medical Center, Boston, MA, USA
| | - Ryan R Darby
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Louis Soussand
- Berenson-Allen Center, Beth Israel Deaconess Medical Center, Harvard Medical Center, Boston, MA, USA
| | - Michael D Fox
- Berenson-Allen Center, Beth Israel Deaconess Medical Center, Harvard Medical Center, Boston, MA, USA,Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
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19
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Nemmi F, Pavy-Le Traon A, Phillips OR, Galitzky M, Meissner WG, Rascol O, Péran P. A totally data-driven whole-brain multimodal pipeline for the discrimination of Parkinson's disease, multiple system atrophy and healthy control. NEUROIMAGE-CLINICAL 2019; 23:101858. [PMID: 31128523 PMCID: PMC6531871 DOI: 10.1016/j.nicl.2019.101858] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 04/17/2019] [Accepted: 05/11/2019] [Indexed: 01/10/2023]
Abstract
Parkinson's Disease (PD) and Multiple System Atrophy (MSA) are two parkinsonian syndromes that share many symptoms, albeit having very different prognosis. Although previous studies have proposed multimodal MRI protocols combined with multivariate analysis to discriminate between these two populations and healthy controls, studies combining all MRI indexes relevant for these disorders (i.e. grey matter volume, fractional anisotropy, mean diffusivity, iron deposition, brain activity at rest and brain connectivity) with a completely data-driven voxelwise analysis for discrimination are still lacking. In this study, we used such a complete MRI protocol and adapted a fully-data driven analysis pipeline to discriminate between these populations and a healthy controls (HC) group. The pipeline combined several feature selection and reduction steps to obtain interpretable models with a low number of discriminant features that can shed light onto the brain pathology of PD and MSA. Using this pipeline, we could discriminate between PD and HC (best accuracy = 0.78), MSA and HC (best accuracy = 0.94) and PD and MSA (best accuracy = 0.88). Moreover, we showed that indexes derived from resting-state fMRI alone could discriminate between PD and HC, while mean diffusivity in the cerebellum and the putamen alone could discriminate between MSA and HC. On the other hand, a more diverse set of indexes derived by multiple modalities was needed to discriminate between the two disorders. We showed that our pipeline was able to discriminate between distinct pathological populations while delivering sparse model that could be used to better understand the neural underpinning of the pathologies. Structuro-functional MRI can discriminate between parkinsonian syndromes Discriminant MRI modalities vary as a function of the discrimination task fMRI is crucial in discriminating between Parkinson's disease patients and controls Structural MRI discriminate between Multiple System Atrophy patients and controls
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Affiliation(s)
- F Nemmi
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France.
| | - A Pavy-Le Traon
- UMR Institut National de la Santé et de la Recherche Médicale 1048, Institut des Maladies Métaboliques et Cardiovasculaires, Toulouse, France; Department of Neurology and Institute for Neurosciences, University Hospital of Toulouse, Toulouse, France
| | - O R Phillips
- Brain Key, Palo Alto, California, USA; NeuroToul COEN Center, INSERM, CHU de Toulouse, Université de Toulouse 3, Toulouse, France
| | - M Galitzky
- Centre d'Investigation Clinique (CIC), CHU de Toulouse, Toulouse, France
| | - W G Meissner
- French Reference Center for MSA, Department of Neurology, University Hospital Bordeaux, Bordeaux and Institute of Neurodegenerative Disorders, University Bordeaux, CNRS UMR 5293, 33000 Bordeaux, France; Dept. Medicine, University of Otago, Christchurch, and New Zealand Brain Research Institute, Christchurch, New Zealand
| | - O Rascol
- Departments of Clinical Pharmacology and Neurosciences, Clinical Investigation Center CIC 1436, NS-Park/FCRIN network and NeuroToul COEN Center, INSERM, CHU de Toulouse, Université de Toulouse 3, Toulouse, France
| | - P Péran
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France
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20
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Berrío Sánchez J, Cucarian Hurtado J, Barcos Nunes R, de Oliveira AA. Mesenchymal stem cell transplantation and aerobic exercise for Parkinson's disease: therapeutic assets beyond the motor domain. Rev Neurosci 2019; 30:165-178. [PMID: 29959887 DOI: 10.1515/revneuro-2018-0011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Accepted: 04/19/2018] [Indexed: 11/15/2022]
Abstract
Parkinson's disease (PD) is a very common neurodegenerative condition in which both motor and nonmotor deficits evolve throughout the course of the disease. Normally characterized as a movement disorder, PD has been broadly studied from a motor perspective. However, mild to moderate cognitive deficits began to appear in the early phases of the disease, even before motor disturbances actually manifest, and continue to progress relentlessly. These nonmotor manifestations are also a source of detriment to the patients' already strained functionality and quality of life, and pose a therapeutic challenge seeing that replacing therapies have had conflicting results. Considering that the currently approved therapies can hardly be considered curative, efforts to find therapeutic approaches with an actual disease-modifying quality and capable of addressing not only motor but also cognitive dysfunctions are clearly needed. Among possible alternatives with such attribute, mesenchymal stem cell transplantation and exercise are worth highlighting given their common neuroprotective, neuroplastic, and immunomodulatory properties. In this paper, we will summarize the existent literature on the topic, focusing on the mechanisms of action through which these two approaches might beget therapeutic benefits for PD beyond the commonly assessed motor dysfunctions, alluding, at the same time, toward a potential synergic association of both therapies as an optimized approach for PD.
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Affiliation(s)
- Jenny Berrío Sánchez
- Graduate Program in Rehabilitation Science, Department of Psychology, Federal University of Health Sciences of Porto Alegre (UFCSPA), Rua Sarmento Leite, 245, Porto Alegre, Rio Grande do Sul, CEP 90050-170, Brazil
| | - Jaison Cucarian Hurtado
- Graduate Program in Rehabilitation Science, Department of Psychology, Federal University of Health Sciences of Porto Alegre (UFCSPA), Rua Sarmento Leite, 245, Porto Alegre, Rio Grande do Sul, CEP 90050-170, Brazil
| | - Ramiro Barcos Nunes
- Research Department, Instituto Federal de Educação, Ciência e Tecnologia. SUL-RIO-GRANDENSE, Rua Men de Sá, 800, Bom Sucesso, Gravataí, CEP 94.135-300, Brazil
| | - Alcyr Alves de Oliveira
- Graduate Program in Psychology and Health, Department of Psychology, Federal University of Health Sciences of Porto Alegre (UFCSPA), Rua Sarmento Leite, 245, Porto Alegre, Rio Grande do Sul, CEP 90050-170, Brazil
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21
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Neural Correlates of Cognitive Impairment in Parkinson's Disease: A Review of Structural MRI Findings. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2019; 144:1-28. [DOI: 10.1016/bs.irn.2018.09.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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22
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Younce JR, Campbell MC, Perlmutter JS, Norris SA. Thalamic and ventricular volumes predict motor response to deep brain stimulation for Parkinson's disease. Parkinsonism Relat Disord 2018; 61:64-69. [PMID: 30527905 DOI: 10.1016/j.parkreldis.2018.11.026] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Revised: 11/27/2018] [Accepted: 11/27/2018] [Indexed: 02/04/2023]
Abstract
BACKGROUND Brain atrophy frequently occurs with Parkinson's disease (PD) and relates to increased motor symptoms of PD. The predictive value of neuroimaging-based measures of global and regional brain volume on motor outcomes in deep brain stimulation (DBS) remains unclear but potentially could improve patient selection and targeting. OBJECTIVES To determine the predictive value of preoperative volumetric MRI measures of cortical and subcortical brain volume on motor outcomes of subthalamic nucleus (STN) DBS in PD. METHODS Preoperative T1 3D MP-RAGE structural brain MRI images were analyzed for each participant to determine subcortical, ventricular, and cortical volume and thickness. Change in Unified Parkinson's Disease Rating Scale (UPDRS) scores for subsection 3, representing motor outcomes, was computed preoperatively and postoperatively following DBS programming in 86 participants. A multiple linear regression analysis was performed to investigate the relationship between volumetric data and the effect of DBS on UPDRS 3 scores. RESULTS Larger ventricular and smaller thalamic volumes predicted significantly less improvement of UPDRS 3 scores after STN DBS. CONCLUSIONS Our findings demonstrate in PD that regional brain volumes, in particular thalamic and ventricular volumes, predict motor outcomes after DBS. Differences in regional brain volumes may alter electrode targeting, reflect a specific disease trait such as postoperative progression of subclinical dementia, or directly interfere with the action of DBS.
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Affiliation(s)
- John R Younce
- Department of Neurology, Washington University in St Louis, 660 S Euclid Ave, Campus Box 8111, St Louis, MO, 63110, USA
| | - Meghan C Campbell
- Department of Neurology, Washington University in St Louis, 660 S Euclid Ave, Campus Box 8111, St Louis, MO, 63110, USA; Department of Radiology, Washington University in St. Louis, 660 S. Euclid Ave, Campus Box 8225, St. Louis, MO, 63110, USA
| | - Joel S Perlmutter
- Department of Neurology, Washington University in St Louis, 660 S Euclid Ave, Campus Box 8111, St Louis, MO, 63110, USA; Department of Radiology, Washington University in St. Louis, 660 S. Euclid Ave, Campus Box 8225, St. Louis, MO, 63110, USA; Department of Neuroscience, Washington University in St Louis, 660 S Euclid Ave, Campus Box 8108, St Louis, MO, 63110, USA; Program in Physical Therapy, Washington University in St Louis, 4444 Forest Park Ave, Campus Box 8508, St Louis, MO, 63108, USA; Program in Occupational Therapy, Washington University in St Louis, 4444 Forest Park Ave, Campus Box 8505, St Louis, MO, 63108, USA
| | - Scott A Norris
- Department of Neurology, Washington University in St Louis, 660 S Euclid Ave, Campus Box 8111, St Louis, MO, 63110, USA; Department of Radiology, Washington University in St. Louis, 660 S. Euclid Ave, Campus Box 8225, St. Louis, MO, 63110, USA.
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23
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Bledsoe IO, Stebbins GT, Merkitch D, Goldman JG. White matter abnormalities in the corpus callosum with cognitive impairment in Parkinson disease. Neurology 2018; 91:e2244-e2255. [PMID: 30429273 DOI: 10.1212/wnl.0000000000006646] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2018] [Accepted: 08/23/2018] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE To evaluate microstructural characteristics of the corpus callosum using diffusion tensor imaging (DTI) and their relationships to cognitive impairment in Parkinson disease (PD). METHODS Seventy-five participants with PD and 24 healthy control (HC) participants underwent structural MRI brain scans including DTI sequences and clinical and neuropsychological evaluations. Using Movement Disorder Society criteria, PD participants were classified as having normal cognition (PD-NC, n = 23), mild cognitive impairment (PD-MCI, n = 35), or dementia (PDD, n = 17). Cognitive domain (attention/working memory, executive function, language, memory, visuospatial function) z scores were calculated. DTI scalar values, including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD), were established for 5 callosal segments on a midsagittal plane, single slice using a topographically derived parcellation method. Scalar values were compared among participant groups. Regression analyses were performed on cognitive domain z scores and DTI metrics. RESULTS Participants with PD showed increased AD values in the anterior 3 callosal segments compared to healthy controls. Participants with PDD had significantly increased AD, MD, and RD in the anterior 2 segments compared to participants with PD-NC and most anterior segment compared to participants with PD-MCI. FA values did not differ significantly between participants with PD and participants with HC or among PD cognitive groups. The strongest associations for the DTI metrics and cognitive performance occurred in the most anterior and most posterior callosal segments, and also reflected fronto-striatal and posterior cortical type cognitive deficits, respectively. CONCLUSIONS Microstructural white matter abnormalities of the corpus callosum, as measured by DTI, may contribute to PD cognitive impairment by disrupting information transfer across interhemispheric and callosal-cortical projections.
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Affiliation(s)
- Ian O Bledsoe
- From the Movement Disorder and Neuromodulation Center (I.O.B.), Department of Neurology, University of California, San Francisco; and the Section of Parkinson Disease and Movement Disorders (G.T.S., D.M., J.G.G.), Department of Neurological Sciences, Rush University Medical Center, Chicago, IL
| | - Glenn T Stebbins
- From the Movement Disorder and Neuromodulation Center (I.O.B.), Department of Neurology, University of California, San Francisco; and the Section of Parkinson Disease and Movement Disorders (G.T.S., D.M., J.G.G.), Department of Neurological Sciences, Rush University Medical Center, Chicago, IL
| | - Doug Merkitch
- From the Movement Disorder and Neuromodulation Center (I.O.B.), Department of Neurology, University of California, San Francisco; and the Section of Parkinson Disease and Movement Disorders (G.T.S., D.M., J.G.G.), Department of Neurological Sciences, Rush University Medical Center, Chicago, IL
| | - Jennifer G Goldman
- From the Movement Disorder and Neuromodulation Center (I.O.B.), Department of Neurology, University of California, San Francisco; and the Section of Parkinson Disease and Movement Disorders (G.T.S., D.M., J.G.G.), Department of Neurological Sciences, Rush University Medical Center, Chicago, IL.
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Kunst J, Marecek R, Klobusiakova P, Balazova Z, Anderkova L, Nemcova-Elfmarkova N, Rektorova I. Patterns of Grey Matter Atrophy at Different Stages of Parkinson's and Alzheimer's Diseases and Relation to Cognition. Brain Topogr 2018; 32:142-160. [PMID: 30206799 DOI: 10.1007/s10548-018-0675-2] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Accepted: 09/04/2018] [Indexed: 11/25/2022]
Abstract
Using MRI, a characteristic pattern of grey matter (GM) atrophy has been described in the early stages of Alzheimer's disease (AD); GM patterns at different stages of Parkinson's disease (PD) have been inconclusive. Few studies have directly compared structural changes in groups with mild cognitive impairment (MCI) caused by different pathologies (AD, PD). We used several analytical methods to determine GM changes at different stages of both PD and AD. We also evaluated associations between GM changes and cognitive measurements. Altogether 144 subjects were evaluated: PD with normal cognition (PD-NC; n = 23), PD with MCI (PD-MCI; n = 24), amnestic MCI (aMCI; n = 27), AD (n = 12), and age-matched healthy controls (HC; n = 58). All subjects underwent structural MRI and cognitive examination. GM volumes were analysed using two different techniques: voxel-based morphometry (VBM) and source-based morphometry (SBM), which is a multivariate method. In addition, cortical thickness (CT) was evaluated to assess between-group differences in GM. The cognitive domain z-scores were correlated with GM changes in individual patient groups. GM atrophy in the anterior and posterior cingulate, as measured by VBM, in the temporo-fronto-parietal component, as measured by SBM, and in the posterior cortical regions as well as in the anterior cingulate and frontal region, as measured by CT, differentiated aMCI from HC. Major hippocampal and temporal lobe atrophy (VBM, SBM) and to some extent occipital atrophy (SBM) differentiated AD from aMCI and from HC. Correlations with cognitive deficits were present only in the AD group. PD-MCI showed greater GM atrophy than PD-NC in the orbitofrontal regions (VBM), which was related to memory z-scores, and in the left superior parietal lobule (CT); more widespread limbic and fronto-parieto-occipital neocortical atrophy (all methods) differentiated this group from HC. Only CT revealed subtle GM atrophy in the anterior cingulate, precuneus, and temporal neocortex in PD-NC as compared to HC. None of the methods differentiated PD-MCI from aMCI. Both MCI groups showed distinct limbic and fronto-temporo-parietal neocortical atrophy compared to HC with no specific between-group differences. AD subjects displayed a typical pattern of major temporal lobe atrophy which was associated with deficits in all cognitive domains. VBM and CT were more sensitive than SBM in identifying frontal and posterior cortical atrophy in PD-MCI as compared to PD-NC. Our data support the notion that the results of studies using different analytical methods cannot be compared directly. Only CT measures revealed some subtle differences between HC and PD-NC.
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Affiliation(s)
- Jonas Kunst
- Medical Faculty, Masaryk University, Brno, Czech Republic.,Brain and Mind Research Programme, CEITEC Masaryk University, Brno, Czech Republic
| | - Radek Marecek
- Brain and Mind Research Programme, CEITEC Masaryk University, Brno, Czech Republic
| | - Patricia Klobusiakova
- Medical Faculty, Masaryk University, Brno, Czech Republic.,Brain and Mind Research Programme, CEITEC Masaryk University, Brno, Czech Republic
| | - Zuzana Balazova
- Brain and Mind Research Programme, CEITEC Masaryk University, Brno, Czech Republic
| | - Lubomira Anderkova
- Brain and Mind Research Programme, CEITEC Masaryk University, Brno, Czech Republic
| | | | - Irena Rektorova
- Brain and Mind Research Programme, CEITEC Masaryk University, Brno, Czech Republic. .,Movement Disorders Centre, First Department of Neurology, St Anne's University Hospital, Masaryk University, Pekarska 53, 656 91, Brno, Czech Republic.
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25
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Brain degeneration in Parkinson’s disease patients with cognitive decline: a coordinate-based meta-analysis. Brain Imaging Behav 2018; 13:1021-1034. [DOI: 10.1007/s11682-018-9922-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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26
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Jia Z, Tang W, Zhao D, Hu G, Li R, Yu S. Volumetric abnormalities of the brain in a rat model of recurrent headache. Mol Pain 2018; 14:1744806918756466. [PMID: 29353541 PMCID: PMC6879737 DOI: 10.1177/1744806918756466] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Voxel-based morphometry is used to detect structural brain changes in patients
with migraine. However, the relevance of migraine and structural changes is not
clear. This study investigated structural brain abnormalities based on
voxel-based morphometry using a rat model of recurrent headache. The rat model
was established by infusing an inflammatory soup through supradural catheters in
conscious male rats. Rats were subgrouped according to the frequency and
duration of the inflammatory soup infusion. Tactile sensory testing was
conducted prior to infusion of the inflammatory soup or saline. The periorbital
tactile thresholds in the high-frequency inflammatory soup stimulation group
declined persistently from day 5. Increased white matter volume was observed in
the rats three weeks after inflammatory soup stimulation, brainstem in the in
the low-frequency inflammatory soup-infusion group and cortex in the
high-frequency inflammatory soup-infusion group. After six weeks’ stimulation,
rats showed gray matter volume changes. The brain structural abnormalities
recovered after the stimulation was stopped in the low-frequency inflammatory
soup-infused rats and persisted even after the high-frequency inflammatory soup
stimulus stopped. The changes of voxel-based morphometry in migraineurs may be
the result of recurrent headache. Cognition, memory, and learning may play an
important role in the chronification of migraines. Reducing migraine attacks has
the promise of preventing chronicity of migraine.
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Affiliation(s)
- Zhihua Jia
- 1 Department of Neurology, Chinese PLA General Hospital, Beijing, China
| | - Wenjing Tang
- 1 Department of Neurology, Chinese PLA General Hospital, Beijing, China
| | - Dengfa Zhao
- 1 Department of Neurology, Chinese PLA General Hospital, Beijing, China
| | - Guanqun Hu
- 1 Department of Neurology, Chinese PLA General Hospital, Beijing, China
| | - Ruisheng Li
- 2 Research Center for Clinical and Translational Medicine, 302 Hospital of PLA, Beijing, China
| | - Shengyuan Yu
- 1 Department of Neurology, Chinese PLA General Hospital, Beijing, China
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27
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Péran P, Nemmi F, Barbagallo G. Brain Morphometry: Parkinson’s Disease. NEUROMETHODS 2018:267-277. [DOI: 10.1007/978-1-4939-7647-8_16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
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28
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Staffaroni AM, Elahi FM, McDermott D, Marton K, Karageorgiou E, Sacco S, Paoletti M, Caverzasi E, Hess CP, Rosen HJ, Geschwind MD. Neuroimaging in Dementia. Semin Neurol 2017; 37:510-537. [PMID: 29207412 PMCID: PMC5823524 DOI: 10.1055/s-0037-1608808] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Although the diagnosis of dementia still is primarily based on clinical criteria, neuroimaging is playing an increasingly important role. This is in large part due to advances in techniques that can assist with discriminating between different syndromes. Magnetic resonance imaging remains at the core of differential diagnosis, with specific patterns of cortical and subcortical changes having diagnostic significance. Recent developments in molecular PET imaging techniques have opened the door for not only antemortem but early, even preclinical, diagnosis of underlying pathology. This is vital, as treatment trials are underway for pharmacological agents with specific molecular targets, and numerous failed trials suggest that earlier treatment is needed. This article provides an overview of classic neuroimaging findings as well as new and cutting-edge research techniques that assist with clinical diagnosis of a range of dementia syndromes, with an emphasis on studies using pathologically proven cases.
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Affiliation(s)
- Adam M. Staffaroni
- Department of Neurology, Memory and Aging Center, University of California, San Francisco (UCSF), San Francisco, California
| | - Fanny M. Elahi
- Department of Neurology, Memory and Aging Center, University of California, San Francisco (UCSF), San Francisco, California
| | - Dana McDermott
- Department of Neurology, Memory and Aging Center, University of California, San Francisco (UCSF), San Francisco, California
| | - Kacey Marton
- Department of Neurology, Memory and Aging Center, University of California, San Francisco (UCSF), San Francisco, California
| | - Elissaios Karageorgiou
- Department of Neurology, Memory and Aging Center, University of California, San Francisco (UCSF), San Francisco, California
- Neurological Institute of Athens, Athens, Greece
| | - Simone Sacco
- Department of Neurology, Memory and Aging Center, University of California, San Francisco (UCSF), San Francisco, California
- Institute of Radiology, Department of Clinical Surgical Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy
| | - Matteo Paoletti
- Department of Neurology, Memory and Aging Center, University of California, San Francisco (UCSF), San Francisco, California
- Institute of Radiology, Department of Clinical Surgical Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy
| | - Eduardo Caverzasi
- Department of Neurology, Memory and Aging Center, University of California, San Francisco (UCSF), San Francisco, California
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Christopher P. Hess
- Division of Neuroradiology, Department of Radiology, University of California, San Francisco (UCSF), California
| | - Howard J. Rosen
- Department of Neurology, Memory and Aging Center, University of California, San Francisco (UCSF), San Francisco, California
| | - Michael D. Geschwind
- Department of Neurology, Memory and Aging Center, University of California, San Francisco (UCSF), San Francisco, California
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29
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DNA versus RNA oxidation in Parkinson's disease: Which is more important? Neurosci Lett 2017; 662:22-28. [PMID: 28963060 DOI: 10.1016/j.neulet.2017.09.048] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Revised: 09/22/2017] [Accepted: 09/25/2017] [Indexed: 11/21/2022]
Abstract
BACKROUND 8-hydroxy-2 deoxyguanosine (8-OHdG) and the 8-hydroxyguanosine (8-OHG) are the most widely used biomarkers of nucleoside oxidation affecting DNA and RNA and are considered reliable markers of oxidative stress. Increased levels of these markers are found in the various biological fluids of patients with neurodegenerative disorders. OBJECTIVE The primary aim of our study was to assess the differences of investigated markers between patient groups and subsequently study the influence of clinical factors that might modify the levels of investigated markers during the disease progression. METHODS In this study, we analysed the 8-OHdG and 8-OHG levels in the cerebrospinal fluid (CSF) and serum from 44 patients with Parkinson's disease (PD) and 32 controls using an ELISA. RESULTS There were significantly higher CSF levels of both investigated markers in Parkinson's disease patients as compared to controls (p=0.02 and p=0.04). Significantly higher CSF values of 8-OHdG were found in PD patients without dementia (p=0.05), whereas patients with dementia recorded lower 8-OHG CSF levels compared to controls (p=0.04). The disease duration and age influenced the levels of both markers within investigated groups. CONCLUSION Oxidative DNA damage plays an important role in the early stages of PD, whereas during the progression of the disease the process is more complex, and other mechanisms are in the foreground. The measurement of 8-OHdG might be used as an "early-stage marker", whereas the decrease of 8-OHG in CSF might reflect the degree of neurodegeneration during the disease progression, suggesting its utility as a prognostic marker of advanced PD stages.
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Györfi O, Nagy H, Bokor M, Moustafa AA, Rosenzweig I, Kelemen O, Kéri S. Reduced CA2-CA3 Hippocampal Subfield Volume Is Related to Depression and Normalized by l-DOPA in Newly Diagnosed Parkinson's Disease. Front Neurol 2017; 8:84. [PMID: 28367136 PMCID: PMC5355434 DOI: 10.3389/fneur.2017.00084] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2016] [Accepted: 02/24/2017] [Indexed: 11/24/2022] Open
Abstract
Hippocampal dysfunctions may play an important role in the non-motor aspects of Parkinson’s disease (PD), including depressive and cognitive symptoms. Fine structural alterations of the hippocampus and their relationship with symptoms and medication effects are unknown in newly diagnosed PD. We measured the volume of hippocampal subfields in 35 drug-naïve, newly diagnosed PD patients without cognitive impairment and 30 matched healthy control individuals. Assessments were performed when the patients did not receive medications and after a 24-week period of l-DOPA treatment. We obtained a T1-weighted 3D magnetization-prepared rapid acquisition gradient echo image at each assessment. FreeSurfer v6.0 was used for image analysis. Results revealed a selectively decreased CA2–CA3 volume in non-medicated PD patients, which was normalized after the 24-week treatment period. Higher depressive symptoms were associated with smaller CA2–CA3 volumes. These results indicate that the CA2–CA3 subfield is structurally affected in the earliest stage of PD in the absence of cognitive impairment. This structural anomaly, normalized by l-DOPA, is related to depressive non-motor symptoms.
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Affiliation(s)
- Orsolya Györfi
- Department of Neurology, Nyírö Gyula Hospital, National Institute of Psychiatry and Addictions , Budapest , Hungary
| | - Helga Nagy
- National Institute for Medical Rehabilitation, Budapest, Hungary; Department of Neurology, Semmelweis University, Budapest, Hungary
| | - Magdolna Bokor
- Department of Neurology, Nyírö Gyula Hospital, National Institute of Psychiatry and Addictions , Budapest , Hungary
| | - Ahmed A Moustafa
- School of Social Sciences and Psychology, Western Sydney University, Sydney, NSW, Australia; Marcs Institute for Brain and Behavior, Western Sydney University, Sydney, NSW, Australia
| | - Ivana Rosenzweig
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, IOPPN, King's College and Imperial College London, London, UK; Sleep Disorders Centre, Guy's Hospital, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Oguz Kelemen
- Faculty of Medicine, Department of Behavioral Sciences, University of Szeged , Szeged , Hungary
| | - Szabolcs Kéri
- Department of Neurology, Nyírö Gyula Hospital, National Institute of Psychiatry and Addictions, Budapest, Hungary; Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary; Faculty of Medicine, Department of Physiology, University of Szeged, Szeged, Hungary
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31
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Goldman JG, Bledsoe IO, Merkitch D, Dinh V, Bernard B, Stebbins GT. Corpus callosal atrophy and associations with cognitive impairment in Parkinson disease. Neurology 2017; 88:1265-1272. [PMID: 28235816 DOI: 10.1212/wnl.0000000000003764] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2016] [Accepted: 01/03/2017] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To investigate atrophy of the corpus callosum on MRI in Parkinson disease (PD) and its relationship to cognitive impairment. METHODS One hundred patients with PD and 24 healthy control participants underwent clinical and neuropsychological evaluations and structural MRI brain scans. Participants with PD were classified as cognitively normal (PD-NC; n = 28), having mild cognitive impairment (PD-MCI; n = 47), or having dementia (PDD; n = 25) by Movement Disorder Society criteria. Cognitive domain (attention/working memory, executive function, memory, language, visuospatial function) z scores were calculated. With the use of FreeSurfer image processing, volumes for total corpus callosum and its subsections (anterior, midanterior, central, midposterior, posterior) were computed and normalized by total intracranial volume. Callosal volumes were compared between participants with PD and controls and among PD cognitive groups, covarying for age, sex, and PD duration and with multiple comparison corrections. Regression analyses were performed to evaluate relationships between callosal volumes and performance in cognitive domains. RESULTS Participants with PD had reduced corpus callosum volumes in midanterior and central regions compared to healthy controls. Participants with PDD demonstrated decreased callosal volumes involving multiple subsections spanning anterior to posterior compared to participants with PD-MCI and PD-NC. Regional callosal atrophy predicted cognitive domain performance such that central volumes were associated with the attention/working memory domain; midposterior volumes with executive function, language, and memory domains; and posterior volumes with memory and visuospatial domains. CONCLUSIONS Notable volume loss occurs in the corpus callosum in PD, with specific neuroanatomic distributions in PDD and relationships of regional atrophy to different cognitive domains. Callosal volume loss may contribute to clinical manifestations of PD cognitive impairment.
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Affiliation(s)
- Jennifer G Goldman
- From the Department of Neurological Sciences (J.G.G., D.M., B.B., G.T.S.), Section of Parkinson Disease and Movement Disorders, Rush University Medical Center, Chicago, IL; Department of Neurology (I.O.B.), Movement Disorders and Neuromodulation Center, University of California, San Francisco; and School of Medicine and Public Health, University of Wisconsin, Madison (V.D.).
| | - Ian O Bledsoe
- From the Department of Neurological Sciences (J.G.G., D.M., B.B., G.T.S.), Section of Parkinson Disease and Movement Disorders, Rush University Medical Center, Chicago, IL; Department of Neurology (I.O.B.), Movement Disorders and Neuromodulation Center, University of California, San Francisco; and School of Medicine and Public Health, University of Wisconsin, Madison (V.D.)
| | - Doug Merkitch
- From the Department of Neurological Sciences (J.G.G., D.M., B.B., G.T.S.), Section of Parkinson Disease and Movement Disorders, Rush University Medical Center, Chicago, IL; Department of Neurology (I.O.B.), Movement Disorders and Neuromodulation Center, University of California, San Francisco; and School of Medicine and Public Health, University of Wisconsin, Madison (V.D.)
| | - Vy Dinh
- From the Department of Neurological Sciences (J.G.G., D.M., B.B., G.T.S.), Section of Parkinson Disease and Movement Disorders, Rush University Medical Center, Chicago, IL; Department of Neurology (I.O.B.), Movement Disorders and Neuromodulation Center, University of California, San Francisco; and School of Medicine and Public Health, University of Wisconsin, Madison (V.D.)
| | - Bryan Bernard
- From the Department of Neurological Sciences (J.G.G., D.M., B.B., G.T.S.), Section of Parkinson Disease and Movement Disorders, Rush University Medical Center, Chicago, IL; Department of Neurology (I.O.B.), Movement Disorders and Neuromodulation Center, University of California, San Francisco; and School of Medicine and Public Health, University of Wisconsin, Madison (V.D.)
| | - Glenn T Stebbins
- From the Department of Neurological Sciences (J.G.G., D.M., B.B., G.T.S.), Section of Parkinson Disease and Movement Disorders, Rush University Medical Center, Chicago, IL; Department of Neurology (I.O.B.), Movement Disorders and Neuromodulation Center, University of California, San Francisco; and School of Medicine and Public Health, University of Wisconsin, Madison (V.D.)
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GOTO M, SUZUKI M, MIZUKAMI S, ABE O, AOKI S, MIYATI T, FUKUDA M, GOMI T, TAKEDA T. Repeatability of Brain Volume Measurements Made with the Atlas-based Method from T 1-weighted Images Acquired Using a 0.4 Tesla Low Field MR Scanner. Magn Reson Med Sci 2016; 15:365-370. [PMID: 26841856 PMCID: PMC5608110 DOI: 10.2463/mrms.mp.2015-0107] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2015] [Accepted: 12/18/2015] [Indexed: 11/09/2022] Open
Abstract
PURPOSE An understanding of the repeatability of measured results is important for both the atlas-based and voxel-based morphometry (VBM) methods of magnetic resonance (MR) brain volumetry. However, many recent studies that have investigated the repeatability of brain volume measurements have been performed using static magnetic fields of 1-4 tesla, and no study has used a low-strength static magnetic field. The aim of this study was to investigate the repeatability of measured volumes using the atlas-based method and a low-strength static magnetic field (0.4 tesla). MATERIALS AND METHODS Ten healthy volunteers participated in this study. Using a 0.4 tesla magnetic resonance imaging (MRI) scanner and a quadrature head coil, three-dimensional T1-weighted images (3D-T1WIs) were obtained from each subject, twice on the same day. VBM8 software was used to construct segmented normalized images [gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) images]. The regions-of-interest (ROIs) of GM, WM, CSF, hippocampus (HC), orbital gyrus (OG), and cerebellum posterior lobe (CPL) were generated using WFU PickAtlas. The percentage change was defined as[100 × (measured volume with first segmented image - mean volume in each subject)/(mean volume in each subject)]The average percentage change was calculated as the percentage change in the 6 ROIs of the 10 subjects. RESULTS The mean of the average percentage changes for each ROI was as follows: GM, 0.556%; WM, 0.324%; CSF, 0.573%; HC, 0.645%; OG, 1.74%; and CPL, 0.471%. The average percentage change was higher for the orbital gyrus than for the other ROIs. CONCLUSION We consider that repeatability of the atlas-based method is similar between 0.4 and 1.5 tesla MR scanners. To our knowledge, this is the first report to show that the level of repeatability with a 0.4 tesla MR scanner is adequate for the estimation of brain volume change by the atlas-based method.
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Affiliation(s)
- Masami GOTO
- School of Allied Health Sciences, Kitasato University, 1-15-1 Minami-ku, Sagamihara, Kanagawa 252-0373, Japan
| | - Makoto SUZUKI
- School of Allied Health Sciences, Kitasato University, 1-15-1 Minami-ku, Sagamihara, Kanagawa 252-0373, Japan
- Graduate School of Medical Sciences, Kitasato University
| | - Shinya MIZUKAMI
- School of Allied Health Sciences, Kitasato University, 1-15-1 Minami-ku, Sagamihara, Kanagawa 252-0373, Japan
| | - Osamu ABE
- Department of Radiology, Nihon University School of Medicine
| | | | | | - Michinari FUKUDA
- School of Allied Health Sciences, Kitasato University, 1-15-1 Minami-ku, Sagamihara, Kanagawa 252-0373, Japan
- Graduate School of Medical Sciences, Kitasato University
| | - Tsutomu GOMI
- School of Allied Health Sciences, Kitasato University, 1-15-1 Minami-ku, Sagamihara, Kanagawa 252-0373, Japan
| | - Tohoru TAKEDA
- School of Allied Health Sciences, Kitasato University, 1-15-1 Minami-ku, Sagamihara, Kanagawa 252-0373, Japan
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Athauda D, Foltynie T. Insulin resistance and Parkinson's disease: A new target for disease modification? Prog Neurobiol 2016; 145-146:98-120. [PMID: 27713036 DOI: 10.1016/j.pneurobio.2016.10.001] [Citation(s) in RCA: 200] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2015] [Revised: 09/28/2016] [Accepted: 10/02/2016] [Indexed: 12/12/2022]
Abstract
There is growing evidence that patients with Type 2 diabetes have an increased risk of developing Parkinson's disease and share similar dysregulated pathways suggesting common underlying pathological mechanisms. Historically insulin was thought solely to be a peripherally acting hormone responsible for glucose homeostasis and energy metabolism. However accumulating evidence indicates insulin can cross the blood-brain-barrier and influence a multitude of processes in the brain including regulating neuronal survival and growth, dopaminergic transmission, maintenance of synapses and pathways involved in cognition. In conjunction, there is growing evidence that a process analogous to peripheral insulin resistance occurs in the brains of Parkinson's disease patients, even in those without diabetes. This raises the possibility that defective insulin signalling pathways may contribute to the development of the pathological features of Parkinson's disease, and thereby suggests that the insulin signalling pathway may potentially be a novel target for disease modification. Given these growing links between PD and Type 2 diabetes it is perhaps not unsurprising that drugs used the treatment of T2DM are amongst the most promising treatments currently being prioritised for repositioning as possible novel treatments for PD and several clinical trials are under way. In this review, we will examine the underlying cellular links between insulin resistance and the pathogenesis of PD and then we will assess current and future pharmacological strategies being developed to restore neuronal insulin signalling as a potential strategy for slowing neurodegeneration in Parkinson's disease.
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Affiliation(s)
- D Athauda
- Sobell Department of Motor Neuroscience, UCL Institute of Neurology & The National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG, United Kingdom.
| | - T Foltynie
- Sobell Department of Motor Neuroscience, UCL Institute of Neurology & The National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG, United Kingdom.
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Knight MJ, McCann B, Tsivos D, Couthard E, Kauppinen RA. Quantitative T 1 and T 2 MRI signal characteristics in the human brain: different patterns of MR contrasts in normal ageing. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2016; 29:833-842. [PMID: 27333937 PMCID: PMC5124042 DOI: 10.1007/s10334-016-0573-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2015] [Revised: 06/06/2016] [Accepted: 06/09/2016] [Indexed: 01/25/2023]
Abstract
Objective The objective of this study was to examine age-dependent changes in both T1-weighted and T2-weighted image contrasts and spin-echo T2 relaxation time in the human brain during healthy ageing. Methods A total of 37 participants between the ages of 49 and 87 years old were scanned with a 3 Tesla system, using T1-weighted, T2 weighted and quantitative spin-echo T2 imaging. Contrast between image intensities and T2 values was calculated for various regions, including between individual hippocampal subfields. Results The T1 contrast-to-noise (CNR) and gray:white signal intensity ratio (GWR) did not change in the hippocampus, but it declined in the cingulate cortex with age. In contrast, T2 CNR and GWR declined in both brain regions. T2 relaxation time was almost constant in gray matter and most (but not all) hippocampal subfields, but increased substantially in white matter, pointing to an age effect on water relaxation in white matter. Conclusions Changes in T1 and T2 MR characteristics influence the appearance of brain images in later life and should be considered in image analyses of aged subjects. It is speculated that alterations at the cell biology level, with concomitant alterations to the local magnetic environment, reduce dephasing and subsequently prolong spin-echo T2 through reduced diffusion effects in later life. Electronic supplementary material The online version of this article (doi:10.1007/s10334-016-0573-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Michael J Knight
- School of Experimental Psychology, University of Bristol, 12a Priory Road, Bristol, BS8 1TU, UK.
| | - Bryony McCann
- School of Experimental Psychology, University of Bristol, 12a Priory Road, Bristol, BS8 1TU, UK
| | - Demitra Tsivos
- Institute of Clinical Neuroscience, University of Bristol, Level 1 Learning and Research Building, Bristol, BS10 5NB, UK
| | - Elizabeth Couthard
- Institute of Clinical Neuroscience, University of Bristol, Level 1 Learning and Research Building, Bristol, BS10 5NB, UK
- North Bristol NHS Trust, Southmead Road, Westbury-on-Trym, Bristol, BS10 5NB, UK
| | - Risto A Kauppinen
- School of Experimental Psychology, University of Bristol, 12a Priory Road, Bristol, BS8 1TU, UK
- Clinical Research and Imaging Centre, University of Bristol, 60 St Michael's Hill, Bristol, BS2 8DX, UK
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The glucagon-like peptide 1 (GLP) receptor as a therapeutic target in Parkinson's disease: mechanisms of action. Drug Discov Today 2016; 21:802-18. [DOI: 10.1016/j.drudis.2016.01.013] [Citation(s) in RCA: 188] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2015] [Revised: 12/03/2015] [Accepted: 01/25/2016] [Indexed: 02/06/2023]
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Voxel-based meta-analysis of gray matter volume reductions associated with cognitive impairment in Parkinson’s disease. J Neurol 2016; 263:1178-87. [DOI: 10.1007/s00415-016-8122-3] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2016] [Revised: 04/04/2016] [Accepted: 04/05/2016] [Indexed: 12/14/2022]
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Chen MH, Lu CH, Chen PC, Tsai NW, Huang CC, Chen HL, Yang IH, Yu CC, Lin WC. Association Between Autonomic Impairment and Structural Deficit in Parkinson Disease. Medicine (Baltimore) 2016; 95:e3086. [PMID: 26986144 PMCID: PMC4839925 DOI: 10.1097/md.0000000000003086] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Patients with Parkinson disease (PD) have impaired autonomic function and altered brain structure. This study aimed to evaluate the relationship of gray matter volume (GMV) determined by voxel-based morphometry (VBM) to autonomic impairment in patients with PD. Whole-brain VBM analysis was performed on 3-dimensional T1-weighted images in 23 patients with PD and 15 sex- and age-matched healthy volunteers. The relationship of cardiovascular autonomic function (determined by survey) to baroreflex sensitivity (BRS) (determined from changes in heart rate and blood pressure during the early phase II of the Valsalva maneuver) was tested using least-squares regression analysis. The differences in GMV, autonomic parameters, and clinical data were correlated after adjusting for age and sex. Compared with controls, patients with PD had low BRS, suggesting worse cardiovascular autonomic function, and smaller GMV in several brain locations, including the right amygdala, left hippocampal formation, bilateral insular cortex, bilateral caudate nucleus, bilateral cerebellum, right fusiform, and left middle frontal gyri. The decreased GMVs of the selected brain regions were also associated with increased presence of epithelial progenitor cells (EPCs) in the circulation. In patients with PD, decrease in cardiovascular autonomic function and increase in circulating EPC level are associated with smaller GMV in several areas of the brain. Because of its possible role in the modulation of the circulatory EPC pool and baroreflex control, the left hippocampal formation may be a bio-target for disease-modifying therapy and treatment monitoring in PD.
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Affiliation(s)
- Meng-Hsiang Chen
- From the Departments of Diagnostic Radiology (M-HC, P-CC, H-LC, I-HY, C-CY, W-CL) and Neurology (C-HL, N-WT, C-CH), Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine; Department of Biological Science, National Sun Yat-Sen University (C-HL), Kaohsiung; and Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei (H-LC), Taiwan
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Jia X, Liang P, Li Y, Shi L, Wang D, Li K. Longitudinal Study of Gray Matter Changes in Parkinson Disease. AJNR Am J Neuroradiol 2015; 36:2219-26. [PMID: 26359153 DOI: 10.3174/ajnr.a4447] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2014] [Accepted: 04/20/2015] [Indexed: 01/18/2023]
Abstract
BACKGROUND AND PURPOSE The pathology of Parkinson disease leads to morphological brain volume changes. So far, the progressive gray matter volume change across time specific to patients with Parkinson disease compared controls remains unclear. Our aim was to investigate the pattern of gray matter changes in patients with Parkinson disease and to explore the progressive gray matter volume change specific to patients with Parkinson disease with disease progression by using voxel-based morphometry analysis. MATERIALS AND METHODS Longitudinal cognitive assessment and structural MR imaging of 89 patients with Parkinson disease (62 men) and 55 healthy controls (33 men) were from the Parkinson's Progression Markers Initiative data base, including the initial baseline and 12-month follow-up data. Two-way analysis of covariance was performed with covariates of age, sex, years of education, imaging data from multiple centers, and total intracranial volume by using Diffeomorphic Anatomical Registration Through Exponentiated Lie Algebra tool from SPM8 software. RESULTS Gray matter volume changes for patients with Parkinson disease were detected with decreased gray matter volume in the frontotemporoparietal areas and the bilateral caudate, with increased gray matter volume in the bilateral limbic/paralimbic areas, medial globus pallidus/putamen, and the right occipital cortex compared with healthy controls. Progressive gray matter volume decrease in the bilateral caudate was found for both patients with Parkinson disease and healthy controls, and this caudate volume was positively associated with cognitive ability for both groups. The progressive gray matter volume increase specific to the patients with Parkinson disease was identified close to the left ventral lateral nucleus of thalamus, and a positive relationship was found between the thalamic volume and the tremor scores in a subgroup with tremor-dominant patients with Parkinson disease. CONCLUSIONS The observed progressive changes in gray matter volume in Parkinson disease may provide new insights into the neurodegenerative process. The current findings suggest that the caudate volume loss may contribute to cognitive decline in patients with Parkinson disease and the progressive thalamus enlargement may have relevance to tremor severity in Parkinson disease.
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Affiliation(s)
- X Jia
- From the Department of Radiology (X.J., P.L., Y.L., K.L.), Xuanwu Hospital, Capital Medical University, Beijing, China Beijing Key Laboratory of MRI and Brain Informatics (X.J., P.L., Y.L., K.L.), Beijing, China
| | - P Liang
- From the Department of Radiology (X.J., P.L., Y.L., K.L.), Xuanwu Hospital, Capital Medical University, Beijing, China Beijing Key Laboratory of MRI and Brain Informatics (X.J., P.L., Y.L., K.L.), Beijing, China
| | - Y Li
- From the Department of Radiology (X.J., P.L., Y.L., K.L.), Xuanwu Hospital, Capital Medical University, Beijing, China Beijing Key Laboratory of MRI and Brain Informatics (X.J., P.L., Y.L., K.L.), Beijing, China
| | - L Shi
- Department of Imaging and Interventional Radiology (L.S., D.W.), The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
| | - D Wang
- Department of Imaging and Interventional Radiology (L.S., D.W.), The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
| | - K Li
- From the Department of Radiology (X.J., P.L., Y.L., K.L.), Xuanwu Hospital, Capital Medical University, Beijing, China Beijing Key Laboratory of MRI and Brain Informatics (X.J., P.L., Y.L., K.L.), Beijing, China
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Melloni M, Sedeño L, Hesse E, García-Cordero I, Mikulan E, Plastino A, Marcotti A, López JD, Bustamante C, Lopera F, Pineda D, García AM, Manes F, Trujillo N, Ibáñez A. Cortical dynamics and subcortical signatures of motor-language coupling in Parkinson's disease. Sci Rep 2015; 5:11899. [PMID: 26152329 PMCID: PMC4495549 DOI: 10.1038/srep11899] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2015] [Accepted: 06/09/2015] [Indexed: 11/27/2022] Open
Abstract
Impairments of action language have been documented in early stage Parkinson’s disease (EPD). The action-sentence compatibility effect (ACE) paradigm has revealed that EPD involves deficits to integrate action-verb processing and ongoing motor actions. Recent studies suggest that an abolished ACE in EPD reflects a cortico-subcortical disruption, and recent neurocognitive models highlight the role of the basal ganglia (BG) in motor-language coupling. Building on such breakthroughs, we report the first exploration of convergent cortical and subcortical signatures of ACE in EPD patients and matched controls. Specifically, we combined cortical recordings of the motor potential, functional connectivity measures, and structural analysis of the BG through voxel-based morphometry. Relative to controls, EPD patients exhibited an impaired ACE, a reduced motor potential, and aberrant frontotemporal connectivity. Furthermore, motor potential abnormalities during the ACE task were predicted by overall BG volume and atrophy. These results corroborate that motor-language coupling is mainly subserved by a cortico-subcortical network including the BG as a key hub. They also evince that action-verb processing may constitute a neurocognitive marker of EPD. Our findings suggest that research on the relationship between language and motor domains is crucial to develop models of motor cognition as well as diagnostic and intervention strategies.
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Affiliation(s)
- Margherita Melloni
- 1] Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, 1854, Argentina [2] National Scientific and Technical Research Council (CONICET), Buenos Aires, 1033 Argentina [3] UDP-INECO Foundation Core on Neuroscience (UIFCoN), Faculty of Psychology, Diego Portales University, Santiago, 8370076, Chile
| | - Lucas Sedeño
- 1] Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, 1854, Argentina [2] National Scientific and Technical Research Council (CONICET), Buenos Aires, 1033 Argentina [3] UDP-INECO Foundation Core on Neuroscience (UIFCoN), Faculty of Psychology, Diego Portales University, Santiago, 8370076, Chile
| | - Eugenia Hesse
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, 1854, Argentina
| | - Indira García-Cordero
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, 1854, Argentina
| | - Ezequiel Mikulan
- 1] Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, 1854, Argentina [2] National Scientific and Technical Research Council (CONICET), Buenos Aires, 1033 Argentina [3] UDP-INECO Foundation Core on Neuroscience (UIFCoN), Faculty of Psychology, Diego Portales University, Santiago, 8370076, Chile
| | - Angelo Plastino
- 1] National Scientific and Technical Research Council (CONICET), Buenos Aires, 1033 Argentina [2] National University La Plata, Physics Institute, (IFLP-CCT-CONICET) La Plata, 1900, Argentina [3] Physics Department, Universitat de les Illes Balears, Palma de Mallorca, 07122, Spain
| | - Aida Marcotti
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, 1854, Argentina
| | - José David López
- SISTEMIC, Engineering Faculty, Universidad de Antioquia (UDEA), Medellín, 1226, Colombia
| | - Catalina Bustamante
- Department of Research, Instituto de Alta Tecnología Médica de Antioquia, Medellín, 1234, Colombia
| | - Francisco Lopera
- Neuroscience Group, Faculty of Medicine, University of Antioquia (UDEA), Medellín, 1226, Colombia
| | - David Pineda
- 1] Group of Neuropsychology and Conduct (GRUNECO), Faculty of Medicine, University of Antioquia (UDEA), Medellín,1226, Colombia [2] Neuroscience Group, Faculty of Medicine, University of Antioquia (UDEA), Medellín, 1226, Colombia
| | - Adolfo M García
- 1] Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, 1854, Argentina [2] National Scientific and Technical Research Council (CONICET), Buenos Aires, 1033 Argentina [3] UDP-INECO Foundation Core on Neuroscience (UIFCoN), Faculty of Psychology, Diego Portales University, Santiago, 8370076, Chile [4] Faculty of Elementary and Special Education (FEEyE), National University of Cuyo (UNCuyo), Mendoza, 5502, Argentina
| | - Facundo Manes
- 1] Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, 1854, Argentina [2] National Scientific and Technical Research Council (CONICET), Buenos Aires, 1033 Argentina [3] UDP-INECO Foundation Core on Neuroscience (UIFCoN), Faculty of Psychology, Diego Portales University, Santiago, 8370076, Chile [4] Centre of Excellence in Cognition and its Disorders, Australian Research Council (ACR), New South Wales, 2109, Australia
| | - Natalia Trujillo
- 1] Mental Health Group. School of Public Health. Universidad de Antioquia (UDEA), Medellín, 1226, Colombia [2] Group of Neuropsychology and Conduct (GRUNECO), Faculty of Medicine, University of Antioquia (UDEA), Medellín,1226, Colombia [3] Neuroscience Group, Faculty of Medicine, University of Antioquia (UDEA), Medellín, 1226, Colombia
| | - Agustín Ibáñez
- 1] Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, 1854, Argentina [2] National Scientific and Technical Research Council (CONICET), Buenos Aires, 1033 Argentina [3] UDP-INECO Foundation Core on Neuroscience (UIFCoN), Faculty of Psychology, Diego Portales University, Santiago, 8370076, Chile [4] Universidad Autónoma del Caribe, Barranquilla, 1234, Colombia [5] Centre of Excellence in Cognition and its Disorders, Australian Research Council (ACR), New South Wales, 2109, Australia
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Gratwicke J, Jahanshahi M, Foltynie T. Parkinson's disease dementia: a neural networks perspective. Brain 2015; 138:1454-76. [PMID: 25888551 PMCID: PMC4614131 DOI: 10.1093/brain/awv104] [Citation(s) in RCA: 290] [Impact Index Per Article: 32.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2014] [Revised: 03/15/2015] [Accepted: 03/23/2015] [Indexed: 12/16/2022] Open
Abstract
In the long-term, with progression of the illness, Parkinson's disease dementia affects up to 90% of patients with Parkinson's disease. With increasing life expectancy in western countries, Parkinson's disease dementia is set to become even more prevalent in the future. However, current treatments only give modest symptomatic benefit at best. New treatments are slow in development because unlike the pathological processes underlying the motor deficits of Parkinson's disease, the neural mechanisms underlying the dementing process and its associated cognitive deficits are still poorly understood. Recent insights from neuroscience research have begun to unravel the heterogeneous involvement of several distinct neural networks underlying the cognitive deficits in Parkinson's disease dementia, and their modulation by both dopaminergic and non-dopaminergic transmitter systems in the brain. In this review we collate emerging evidence regarding these distinct brain networks to give a novel perspective on the pathological mechanisms underlying Parkinson's disease dementia, and discuss how this may offer new therapeutic opportunities.
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Affiliation(s)
- James Gratwicke
- Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, Queen Square, London, UK, WC1N 3BG
| | - Marjan Jahanshahi
- Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, Queen Square, London, UK, WC1N 3BG
| | - Thomas Foltynie
- Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, Queen Square, London, UK, WC1N 3BG
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False positive rates in Voxel-based Morphometry studies of the human brain: should we be worried? Neurosci Biobehav Rev 2015; 52:49-55. [PMID: 25701614 DOI: 10.1016/j.neubiorev.2015.02.008] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2014] [Revised: 02/10/2015] [Accepted: 02/11/2015] [Indexed: 11/21/2022]
Abstract
Voxel-based Morphometry (VBM) is a widely used automated technique for the analysis of neuroanatomical images. Despite its popularity within the neuroimaging community, there are outstanding concerns about its potential susceptibility to false positive findings. Here we review the main methodological factors that are known to influence the results of VBM studies comparing two groups of subjects. We then use two large, open-access data sets to empirically estimate false positive rates and how these depend on sample size, degree of smoothing and modulation. Our review and investigation provide three main results: (i) when groups of equal size are compared false positive rate is not higher than expected, i.e. about 5%; (ii) the sample size, degree of smoothing and modulation do not appear to influence false positive rate; (iii) when they exist, false positive findings are randomly distributed across the brain. These results provide reassurance that VBM studies comparing groups are not vulnerable to the higher than expected false positive rates that are evident in single case VBM.
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Nemmi F, Sabatini U, Rascol O, Péran P. Parkinson's disease and local atrophy in subcortical nuclei: insight from shape analysis. Neurobiol Aging 2015; 36:424-33. [DOI: 10.1016/j.neurobiolaging.2014.07.010] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2014] [Revised: 06/17/2014] [Accepted: 07/08/2014] [Indexed: 12/16/2022]
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Mak E, Bergsland N, Dwyer MG, Zivadinov R, Kandiah N. Subcortical atrophy is associated with cognitive impairment in mild Parkinson disease: a combined investigation of volumetric changes, cortical thickness, and vertex-based shape analysis. AJNR Am J Neuroradiol 2014; 35:2257-64. [PMID: 25082821 DOI: 10.3174/ajnr.a4055] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
BACKGROUND AND PURPOSE The involvement of subcortical deep gray matter and cortical thinning associated with mild Parkinson disease remains poorly understood. We assessed cortical thickness and subcortical volumes in patients with Parkinson disease without dementia and evaluated their associations with cognitive dysfunction. MATERIALS AND METHODS The study included 90 patients with mild Parkinson disease without dementia. Neuropsychological assessments classified the sample into patients with mild cognitive impairment (n = 25) and patients without cognitive impairment (n = 65). Volumetric data for subcortical structures were obtained by using the FMRIB Integrated Registration and Segmentation Tool while whole-brain, gray and white matter volumes were estimated by using Structural Image Evaluation, with Normalization of Atrophy. Vertex-based shape analyses were performed to investigate shape differences in subcortical structures. Vertex-wise group differences in cortical thickness were also assessed. Volumetric comparisons between Parkinson disease with mild cognitive impairment and Parkinson disease with no cognitive impairment were performed by using ANCOVA. Associations of subcortical structures with both cognitive function and disease severity were assessed by using linear regression models. RESULTS Compared with Parkinson disease with no cognitive impairment, Parkinson disease with mild cognitive impairment demonstrated reduced volumes of the thalamus (P = .03) and the nucleus accumbens (P = .04). Significant associations were found for the nucleus accumbens and putamen with performances on the attention/working memory domains (P < .05) and nucleus accumbens and language domains (P = .04). The 2 groups did not differ in measures of subcortical shape or in cortical thickness. CONCLUSIONS Patients with Parkinson disease with mild cognitive impairment demonstrated reduced subcortical volumes, which were associated with cognitive deficits. The thalamus, nucleus accumbens, and putamen may serve as potential biomarkers for Parkinson disease-mild cognitive impairment.
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Affiliation(s)
- E Mak
- From the Department of Neurology (E.M., N.B., M.G.D., R.Z.), Buffalo Neuroimaging Analysis Center Department of Neurology (E.M., N.K.), National Neuroscience Institute, Singapore
| | - N Bergsland
- From the Department of Neurology (E.M., N.B., M.G.D., R.Z.), Buffalo Neuroimaging Analysis Center Istituto de Ricovero e Cura a Carattere Scientifico "S. Maria Nascente," Don Gnocchi Foundation (N.B.), Milan, Italy
| | - M G Dwyer
- From the Department of Neurology (E.M., N.B., M.G.D., R.Z.), Buffalo Neuroimaging Analysis Center
| | - R Zivadinov
- From the Department of Neurology (E.M., N.B., M.G.D., R.Z.), Buffalo Neuroimaging Analysis Center MR Imaging Clinical Translational Research Center (R.Z.), School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - N Kandiah
- Department of Neurology (E.M., N.K.), National Neuroscience Institute, Singapore
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