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Keir G, Roytman M, Mashriqi F, Shahsavarani S, Franceschi AM. Atypical Parkinsonian Syndromes: Structural, Functional, and Molecular Imaging Features. AJNR Am J Neuroradiol 2024:ajnr.A8313. [PMID: 39209485 DOI: 10.3174/ajnr.a8313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 04/16/2024] [Indexed: 09/04/2024]
Abstract
Atypical parkinsonian syndromes, also known as Parkinson-plus syndromes, are a heterogeneous group of movement disorders, including dementia with Lewy bodies (DLB), progressive supranuclear palsy (PSP), multisystem atrophy (MSA), and corticobasal degeneration (CBD). This review highlights the characteristic structural, functional, and molecular imaging features of these complex disorders. DLB typically demonstrates parieto-occipital hypometabolism with involvement of the cuneus on FDG-PET, whereas dopaminergic imaging, such as [123I]-FP-CIT SPECT (DaTscan) or fluorodopa (FDOPA)-PET, can be utilized as an adjunct for diagnosis. PSP typically shows midbrain atrophy on structural imaging, whereas FDG-PET may be useful to depict frontal lobe hypometabolism and tau-PET confirms underlying tauopathy. MSA typically demonstrates putaminal or cerebellar atrophy, whereas FDG-PET highlights characteristic nigrostriatal or olivopontocerebellar hypometabolism, respectively. Finally, CBD typically shows asymmetric atrophy in the superior parietal lobules and corpus callosum, whereas FDG and tau-PET demonstrate asymmetric hemispheric and subcortical involvement contralateral to the side of clinical deficits. Additional advanced neuroimaging modalities and techniques described may assist in the diagnostic work-up or are promising areas of emerging research.
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Affiliation(s)
- Graham Keir
- From the Neuroradiology Division (G.K., M.R.), Department of Radiology, Weill Cornell Medical College, NY-Presbyterian Hospital, New York, New York
| | - Michelle Roytman
- From the Neuroradiology Division (G.K., M.R.), Department of Radiology, Weill Cornell Medical College, NY-Presbyterian Hospital, New York, New York
| | - Faizullah Mashriqi
- Neuroradiology Division (F.M., S.S., A.M.F.), Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Lenox Hill Hospital, New York, New York
| | - Shaya Shahsavarani
- Neuroradiology Division (F.M., S.S., A.M.F.), Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Lenox Hill Hospital, New York, New York
| | - Ana M Franceschi
- Neuroradiology Division (F.M., S.S., A.M.F.), Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Lenox Hill Hospital, New York, New York
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Ellis EG, Meyer GM, Kaasinen V, Corp DT, Pavese N, Reich MM, Joutsa J. Multimodal neuroimaging to characterize symptom-specific networks in movement disorders. NPJ Parkinsons Dis 2024; 10:154. [PMID: 39143114 PMCID: PMC11324766 DOI: 10.1038/s41531-024-00774-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 08/05/2024] [Indexed: 08/16/2024] Open
Abstract
Movement disorders, such as Parkinson's disease, essential tremor, and dystonia, are characterized by their predominant motor symptoms, yet diseases causing abnormal movement also encompass several other symptoms, including non-motor symptoms. Here we review recent advances from studies of brain lesions, neuroimaging, and neuromodulation that provide converging evidence on symptom-specific brain networks in movement disorders. Although movement disorders have traditionally been conceptualized as disorders of the basal ganglia, cumulative data from brain lesions causing parkinsonism, tremor and dystonia have now demonstrated that this view is incomplete. Several recent studies have shown that lesions causing a given movement disorder occur in heterogeneous brain locations, but disrupt common brain networks, which appear to be specific to each motor phenotype. In addition, findings from structural and functional neuroimaging in movement disorders have demonstrated that brain abnormalities extend far beyond the brain networks associated with the motor symptoms. In fact, neuroimaging findings in each movement disorder are strongly influenced by the constellation of patients' symptoms that also seem to map to specific networks rather than individual anatomical structures or single neurotransmitters. Finally, observations from deep brain stimulation have demonstrated that clinical changes, including both symptom improvement and side effects, are dependent on the modulation of large-scale networks instead of purely local effects of the neuromodulation. Combined, this multimodal evidence suggests that symptoms in movement disorders arise from distinct brain networks, encouraging multimodal imaging studies to better characterize the underlying symptom-specific mechanisms and individually tailor treatment approaches.
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Affiliation(s)
- Elizabeth G Ellis
- Turku Brain and Mind Center, University of Turku, Turku, Finland.
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, VIC, Australia.
| | - Garance M Meyer
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Valtteri Kaasinen
- Clinical Neurosciences, University of Turku, Turku, Finland
- Neurocenter, Turku University Hospital, Turku, Finland
| | - Daniel T Corp
- Turku Brain and Mind Center, University of Turku, Turku, Finland
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, VIC, Australia
| | - Nicola Pavese
- Institute of Clinical Medicine, Department of Nuclear Medicine & PET, Aarhus University, Aarhus, Denmark
- Translational and Clinical Research Institute, Newcastle University, Upon Tyn, UK
| | - Martin M Reich
- Department of Neurology, University Hospital of Würzburg, Josef-Schneider-Straße 11, 97080, Würzburg, Germany
| | - Juho Joutsa
- Turku Brain and Mind Center, University of Turku, Turku, Finland.
- Clinical Neurosciences, University of Turku, Turku, Finland.
- Neurocenter, Turku University Hospital, Turku, Finland.
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Wang X, Hu W. MRCT and CT in the diagnosis of pediatric disease imaging: assessing imaging performance and clinical effects. BMC Med Imaging 2024; 24:96. [PMID: 38664762 PMCID: PMC11046952 DOI: 10.1186/s12880-024-01273-w] [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] [Received: 02/07/2024] [Accepted: 04/11/2024] [Indexed: 04/28/2024] Open
Abstract
OBJECTIVE This study focused on analyzing the clinical value and effect of magnetic resonance imaging plus computed tomography (MRCT) and CT in the clinical diagnosis of cerebral palsy in children. METHODS From February 2021 to April 2023, 94 children diagnosed with cerebral palsy were selected from our hospital for study subjects. These patients were divided into CT and MRI groups, with CT examination given to the CT group and MRI examination given to the MRI group. The positive rate of the two examination methods in the diagnosis of cerebral palsy was compared, different imaging signs in two groups of children with cerebral palsy were compared, and the diagnostic test typing results between two groups were further analyzed. RESULTS The diagnostic positivity rate of the children in the MRI group was 91.49%, which was significantly higher than that of the children in the CT group (70.21%) (P < 0.05). In both groups, encephalomalacia, bilateral frontal subdural effusions, and gray-white matter atrophy of the brain were the main signs, and the difference in the proportion of these three imaging signs between the two groups was not significant (P > 0.05). Differences between the two groups examined for cerebral palsy subtypes were not significant (P > 0.05). CONCLUSION The positive rate of pediatric cerebral palsy examined by MRI is higher than that of CT diagnosis, but the clinic should organically combine the two to further improve the detection validity and accuracy.
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Affiliation(s)
- Xiaofei Wang
- Department of Radiology, Xi'an Children's Hospital, No. 69, Xijuyuan Lane, Lianhu District, 710003, Xi'an, Shaanxi Province, China
| | - Wen Hu
- Department of Radiology, Xi'an Children's Hospital, No. 69, Xijuyuan Lane, Lianhu District, 710003, Xi'an, Shaanxi Province, China.
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Meyyappan M, Babu B, Anitha M, Ganesan G, S A, Natarajan P. Role of Diffusion Tensor Imaging in Early Diagnosis and Characterization of Movement Disorders. Cureus 2024; 16:e53580. [PMID: 38449950 PMCID: PMC10914641 DOI: 10.7759/cureus.53580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/04/2024] [Indexed: 03/08/2024] Open
Abstract
BACKGROUND Symptoms of movement disorders in early stages are similar, which makes definite diagnosis difficult. Hence this study was conducted to explore the role of diffusion tensor imaging (DTI) in enhancing the early diagnosis and characterization of movement disorders. METHODOLOGY A cross-sectional study was conducted including 60 subjects. All of them were reviewed using conventional magnetic resonance imaging (MRI) and movement disorder DTI protocol. Commercially available software was used to produce fractional anisotropy (FA) maps. Post-processing 3D reconstruction was done to obtain tractograms. Both single and multiple regions of interest (ROIs) were selected for tractography in the pons, midbrain, substantia nigra (SN) and cerebellum. MRI and DTI images were interpreted and correlated with confirmatory diagnosis. RESULTS According to DTI diagnosis, out of the 30 cases, 28 had movement disorders. Among cases, 36.67% had Parkinson's disease (PD), 23.33% had progressive supranuclear palsy (PSP), 16.67% had essential tremor, 13.33% had multi-system atrophy (MSA) C, and 3.33% had MSA P. DTI correctly classified all cases with PD and PSP. All cases with long disease duration and 88.24% of cases with short disease duration were also correctly classified. A statistically significant difference was observed in the proportion of diagnosis between DTI and conventional MRI. CONCLUSION DTI has high sensitivity and specificity for the diagnosis of movement disorders. It is capable of early diagnosis of movement disorders and also differentiating and subcategorizing them.
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Affiliation(s)
- M Meyyappan
- Radiology, Panimalar Medical College Hospital and Research Institute, Chennai, IND
| | - Biji Babu
- Radiology, Panimalar Medical College Hospital and Research Institute, Chennai, IND
| | - M Anitha
- Radiology, Panimalar Medical College Hospital and Research Institute, Chennai, IND
| | - Gopinath Ganesan
- Radiology, Panimalar Medical College Hospital and Research Institute, Chennai, IND
| | - Anita S
- Radiology, Panimalar Medical College Hospital and Research Institute, Chennai, IND
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Shetty N, Koteshwar P, Priyanka. Identification of optimal value of magnetic resonance planimetry and the parkinsonism index for the diagnosis of Parkinson's disease and progressive supranuclear palsy. J Taibah Univ Med Sci 2023; 18:1577-1585. [PMID: 37701844 PMCID: PMC10494174 DOI: 10.1016/j.jtumed.2023.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 05/30/2023] [Accepted: 07/10/2023] [Indexed: 09/14/2023] Open
Abstract
Objectives Parkinson's disease (PD) and progressive supranuclear palsy (PSP) are neurodegenerative conditions that have overlapping clinical and imaging features, thus making it difficult to distinguish and diagnose PSP from PD. Therefore, in this study, we aimed to investigate the optimal value of magnetic resonance planimetry and the parkinsonism index to differentiate between PSP and PD. Methods In this retrospective study, we recruited a total of 84 patients (27 patients with PSP, 27 patients with PD and 27 normal controls) who underwent MRI brain examinations. For each subject, we calculated the corpus callosum area, midbrain area, pons area, middle cerebellar peduncle (MCP) width and superior cerebellar peduncle (SCP) width on MRI brain images. We also calculated the pons to midbrain area (P/M) ratio, MCP/SCP ratio and magnetic resonance parkinsonism index (MRPI). Results Receiver operating characteristic curve (ROC) analysis was used to identify the diagnostic value of each biomarker. MRPI had a sensitivity of 70.4%, a specificity of 88.9%, and a diagnostic accuracy of 79.6% with an optimum cut off of 24.3 for differentiating PSP from PD. P/M ratio had a sensitivity of 74.1%, a specificity of 77.8%, and a diagnostic accuracy of 75.9% with an optimal cutoff of 24.3 for differentiating PSP from PD. The MCP/SCP ratio had a sensitivity of 66.7%, a specificity of 77.8%, and an accuracy of 72.2% with an optimal cut off of 4.65 for differentiating PSP from PD. Conclusions The study revealed that MRPI and P/M ratio are accurate markers for differentiating PSP from PD. The optimal cut-off values derived from our study can help in the early diagnosis of PD.
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Affiliation(s)
- Nikhitha Shetty
- Department of Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, India
- Department of Medical Imaging Sciences, College of Health Sciences, Gulf Medical University, Ajman, UAE
| | - Prakashini Koteshwar
- Department of Radiodiagnosis and Imaging, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Priyanka
- Department of Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, India
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Loftus JR, Puri S, Meyers SP. Multimodality imaging of neurodegenerative disorders with a focus on multiparametric magnetic resonance and molecular imaging. Insights Imaging 2023; 14:8. [PMID: 36645560 PMCID: PMC9842851 DOI: 10.1186/s13244-022-01358-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 12/13/2022] [Indexed: 01/17/2023] Open
Abstract
Neurodegenerative diseases afflict a large number of persons worldwide, with the prevalence and incidence of dementia rapidly increasing. Despite their prevalence, clinical diagnosis of dementia syndromes remains imperfect with limited specificity. Conventional structural-based imaging techniques also lack the accuracy necessary for confident diagnosis. Multiparametric magnetic resonance imaging and molecular imaging provide the promise of improving specificity and sensitivity in the diagnosis of neurodegenerative disease as well as therapeutic monitoring of monoclonal antibody therapy. This educational review will briefly focus on the epidemiology, clinical presentation, and pathologic findings of common and uncommon neurodegenerative diseases. Imaging features of each disease spanning from conventional magnetic resonance sequences to advanced multiparametric methods such as resting-state functional magnetic resonance imaging and arterial spin labeling imaging will be described in detail. Additionally, the review will explore the findings of each diagnosis on molecular imaging including single-photon emission computed tomography and positron emission tomography with a variety of clinically used and experimental radiotracers. The literature and clinical cases provided demonstrate the power of advanced magnetic resonance imaging and molecular techniques in the diagnosis of neurodegenerative diseases and areas of future and ongoing research. With the advent of combined positron emission tomography/magnetic resonance imaging scanners, hybrid protocols utilizing both techniques are an attractive option for improving the evaluation of neurodegenerative diseases.
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Affiliation(s)
- James Ryan Loftus
- grid.412750.50000 0004 1936 9166Department of Imaging Sciences, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY 14642 USA
| | - Savita Puri
- grid.412750.50000 0004 1936 9166Department of Imaging Sciences, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY 14642 USA
| | - Steven P. Meyers
- grid.412750.50000 0004 1936 9166Department of Imaging Sciences, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY 14642 USA
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Wu J, Qiao H. Medical Imaging Technology and Imaging Agents. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1199:15-38. [PMID: 37460725 DOI: 10.1007/978-981-32-9902-3_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Abstract
Medical imaging is a technology that studies the interaction between human body and irradiations of X-ray, ultrasound, magnetic field, etc. and represents anatomical structures of human organs/tissues with the implication of irradiation attenuation in the form of grayscales. With these medical images, detailed information on health status and disease diagnosis may be judged by clinical physicians to determine an appropriate therapy approach. This chapter will give a systematic introduction on the modalities, classifications, basic principles, and biomedical applications of traditional medical imaging along with the types, construction, and major features of the corresponding contrast agents or imaging probes.
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Affiliation(s)
- Jieting Wu
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Huanhuan Qiao
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
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COVID-19 and Parkinsonism: A Critical Appraisal. Biomolecules 2022; 12:biom12070970. [PMID: 35883526 PMCID: PMC9313170 DOI: 10.3390/biom12070970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Revised: 07/05/2022] [Accepted: 07/07/2022] [Indexed: 11/16/2022] Open
Abstract
A few cases of parkinsonism linked to COVID-19 infection have been reported so far, raising the possibility of a post-viral parkinsonian syndrome. The objective of this review is to summarize the clinical, biological, and neuroimaging features of published cases describing COVID-19-related parkinsonism and to discuss the possible pathophysiological mechanisms. A comprehensive literature search was performed using NCBI’s PubMed database and standardized search terms. Thirteen cases of COVID-19-related parkinsonism were included (7 males; mean age: 51 years ± 14.51, range 31–73). Patients were classified based on the possible mechanisms of post-COVID-19 parkinsonism: extensive inflammation or hypoxic brain injury within the context of encephalopathy (n = 5); unmasking of underlying still non-symptomatic Parkinson’s Disease (PD) (n = 5), and structural and functional basal ganglia damage (n = 3). The various clinical scenarios show different outcomes and responses to dopaminergic treatment. Different mechanisms may play a role, including vascular damage, neuroinflammation, SARS-CoV-2 neuroinvasive potential, and the impact of SARS-CoV-2 on α-synuclein. Our results confirm that the appearance of parkinsonism during or immediately after COVID-19 infection represents a very rare event. Future long-term observational studies are needed to evaluate the possible role of SARS-CoV-2 infection as a trigger for the development of PD in the long term.
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Mortezazadeh T, Seyedarabi H, Mahmoudian B, Islamian JP. Imaging modalities in differential diagnosis of Parkinson’s disease: opportunities and challenges. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2021. [DOI: 10.1186/s43055-021-00454-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Parkinson’s disease (PD) diagnosis is yet largely based on the related clinical aspects. However, genetics, biomarkers, and neuroimaging studies have demonstrated a confirming role in the diagnosis, and future developments might be used in a pre-symptomatic phase of the disease.
Main text
This review provides an update on the current applications of neuroimaging modalities for PD diagnosis. A literature search was performed to find published studies that were involved on the application of different imaging modalities for PD diagnosis. An organized search of PubMed/MEDLINE, Embase, ProQuest, Scopus, Cochrane, and Google Scholar was performed based on MeSH keywords and suitable synonyms. Two researchers (TM and JPI) independently and separately performed the literature search. Our search strategy in each database was done by the following terms: ((Parkinson [Title/Abstract]) AND ((“Parkinsonian syndromes ”[Mesh]) OR Parkinsonism [Title/Abstract])) AND ((PET [Title/Abstract]) OR “SPECT”[Mesh]) OR ((Functional imaging, Transcranial sonography [Title/Abstract]) OR “Magnetic resonance spectroscopy ”[Mesh]). Database search had no limitation in time, and our last update of search was in February 2021. To have a comprehensive search and to find possible relevant articles, a manual search was conducted on the reference list of the articles and limited to those published in English.
Conclusion
Early diagnosis of PD could be vital for early management and adequate neuroprotection. Recent neuroimaging modalities such as SPECT and PET imaging using radiolabeled tracers, MRI, and CT are used to discover the disease. By the modalities, it is possible to early diagnose dopaminergic degeneration and also to differentiate PD from others parkinsonian syndromes, to monitor the natural progression of the disease and the effect of neuroprotective treatments on the progression. In this regard, functional imaging techniques have provided critical insights and roles on PD.
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Batino LKJ, Hiyadan J, Liquete D, Flores M. Sporadic Huntington's disease in the Philippines: a case report. Neurodegener Dis Manag 2021; 11:445-449. [PMID: 34786953 DOI: 10.2217/nmt-2021-0023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Huntington's disease (HD) is an autosomal dominant neurodegenerative disorder with core clinical features of choreoathetosis, cognitive deficits and behavioral changes. It is a rare disorder, primarily affecting the Caucasian population, and rarely Asians. To date, there are only two reported, genetically proven familial HD cases in the Philippines. We present the case of a 39-year-old Filipino male with a 10-year history of progressive behavior and personality changes followed by cognitive decline and choreoathetotic movements. Neuroimaging showed atrophy of both caudate and putamen with putaminal rim sign. Genetic testing revealed a 47 CAG trinucleotide repeats in the Huntingtin gene; family history is negative. This is the first, genetically proven, sporadic and the third HD case in the Philippines. Despite its rarity, this report highlights the importance of including HD as a possible cause of adult-onset chorea among Filipinos.
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Affiliation(s)
| | - John Hiyadan
- Baguio General Hospital & Medical Center, Department of Neurosciences, Baguio City, Benguet, 2600, Philippines
| | - Debbie Liquete
- Baguio General Hospital & Medical Center, Department of Neurosciences, Baguio City, Benguet, 2600, Philippines
| | - Manolo Flores
- Baguio General Hospital & Medical Center, Department of Neurosciences, Baguio City, Benguet, 2600, Philippines
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Positive DAT-SCAN in SPG7: a case report mimicking possible MSA-C. BMC Neurol 2021; 21:328. [PMID: 34433436 PMCID: PMC8386044 DOI: 10.1186/s12883-021-02345-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Accepted: 08/04/2021] [Indexed: 11/10/2022] Open
Abstract
Background Spastic Paraplegia type 7 (SPG7) is one of the most common autosomal recessive Hereditary Spastic Paraplegias (HSP); Spastic Paraplegias (SPGs) can present as hereditary ataxias. However, ataxia is frequently the symptom of presentation of many other hereditary/sporadic disorders, such as Multiple system atrophy type C (MSA-C), an α-synuclein sporadic neurodegenerative disorder, in which cerebellar ataxia is one of the main clinical features. Dopamine Transporter imaging (DAT-SCAN), associated with clinical features, can be a helpful tool in order to distinguish MSA-C from other causes of ataxia. Case-presentation We present the case of a 70-year-old man with gait difficulties over a period of 3 years and frequent backward/lateral falls. He also reported urinary urge incontinence, but no symptoms that are compatible with orthostatic hypotension. On neurological examination he showed ataxic gait, spasticity in the left lower limb and trunk and limb ataxia, especially on the left side. Mild hypokinesia was found in all 4 limbs, especially in the left foot. MRI revealed atrophy of the cerebellar hemispheres and vermis. DAT-SCAN imaging revealed bilateral nigro-striatal degeneration, which was compatible with a diagnosis of possible MSA-C. Considering the atypical disease course (the patient walked without any support after 3 years), we carried out a genetic investigation for Ataxia, and a mutation in SPG7 was found. Conclusions DAT-SCAN imaging, evaluated together with the clinical findings, can be useful for differentiating MSA from other possible causes of adult-onset Ataxia. Indeed, patients with MSA-C generally show a decreased uptake of dopamine transporters in DAT-SCAN imaging. Ours is the first case reported in the literature of a patient with SPG7 mutation with nigrostriatal degeneration and a clinical presentation of a possible MSA-C. Performing genetic investigations in patients with an atypical disease course is important to avoid MSA-mimicries. Identifying the correct diagnosis is important not only for prognostic reasons, but also for possible future genetic therapies.
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Mascalchi M, Vella A. Neuroimaging Biomarkers in SCA2 Gene Carriers. Int J Mol Sci 2020; 21:ijms21031020. [PMID: 32033120 PMCID: PMC7037189 DOI: 10.3390/ijms21031020] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Revised: 01/27/2020] [Accepted: 01/31/2020] [Indexed: 12/12/2022] Open
Abstract
A variety of Magnetic Resonance (MR) and nuclear medicine (NM) techniques have been used in symptomatic and presymptomatic SCA2 gene carriers to explore, in vivo, the physiopathological biomarkers of the neurological dysfunctions characterizing the associated progressive disease that presents with a cerebellar syndrome, or less frequently, with a levodopa-responsive parkinsonian syndrome. Morphometry performed on T1-weighted images and diffusion MR imaging enable structural and microstructural evaluation of the brain in presymptomatic and symptomatic SCA2 gene carriers, in whom they show the typical pattern of olivopontocerebellar atrophy observed at neuropathological examination. Proton MR spectroscopy reveals, in the pons and cerebellum of SCA2 gene carriers, a more pronounced degree of abnormal neurochemical profile compared to other spinocerebellar ataxias with decreased NAA/Cr and Cho/Cr, increased mi/Cr ratios, and decreased NAA and increased mI concentrations. These neurochemical abnormalities are detectable also in presymtomatic gene carriers. Resting state functional MRI (rsfMRI) demonstrates decreased functional connectivity within the cerebellum and of the cerebellum with fronto-parietal cortices and basal ganglia in symptomatic SCA2 subjects. 18F-fluorodeoxyglucose Positron Emission Tomography (PET) shows a symmetric decrease of the glucose uptake in the cerebellar cortex, the dentate nucleus, the brainstem and the parahippocampal cortex. Single photon emission tomography and PET using several radiotracers have revealed almost symmetric nigrostriatal dopaminergic dysfunction irrespective of clinical signs of parkinsonism which are already present in presymtomatic gene carriers. Longitudinal small size studies have proven that morphometry and diffusion MR imaging can track neurodegeneration in SCA2, and hence serve as progression biomarkers. So far, such a capability has not been reported for proton MR spectroscopy, rsfMRI and NM techniques. A search for the best surrogate marker for future clinical trials represents the current challenge for the neuroimaging community.
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Affiliation(s)
- Mario Mascalchi
- Department of Clinical and Experimental Biomedical Sciences, University of Florence, 50121 Florence, Italy
- Correspondence: ; Tel.: +39-329-808-1701
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Partridge B, Rossmeisl JH. Companion animal models of neurological disease. J Neurosci Methods 2020; 331:108484. [PMID: 31733285 PMCID: PMC6942211 DOI: 10.1016/j.jneumeth.2019.108484] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Revised: 10/28/2019] [Accepted: 10/28/2019] [Indexed: 02/07/2023]
Abstract
Clinical translation of novel therapeutics that improve the survival and quality of life of patients with neurological disease remains a challenge, with many investigational drug and device candidates failing in advanced stage clinical trials. Naturally occurring inherited and acquired neurological diseases, such as epilepsy, inborn errors of metabolism, brain tumors, spinal cord injury, and stroke occur frequently in companion animals, and many of these share epidemiologic, pathophysiologic and clinical features with their human counterparts. As companion animals have a relatively abbreviated lifespan and genetic background, are immunocompetent, share their environment with human caregivers, and can be clinically managed using techniques and tools similar to those used in humans, they have tremendous potential for increasing the predictive value of preclinical drug and device studies. Here, we review comparative features of spontaneous neurological diseases in companion animals with an emphasis on neuroimaging methods and features, illustrate their historical use in translational studies, and discuss inherent limitations associated with each disease model. Integration of companion animals with naturally occurring disease into preclinical studies can complement and expand the knowledge gained from studies in other animal models, accelerate or improve the manner in which research is translated to the human clinic, and ultimately generate discoveries that will benefit the health of humans and animals.
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Affiliation(s)
- Brittanie Partridge
- Veterinary and Comparative Neuro-Oncology Laboratory, Department of Small Animal Clinical Sciences, Virginia-Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, VA, 24061, USA; Brain Tumor Center of Excellence, Wake Forest University Comprehensive Cancer Center, Medical Center Blvd, NRC 405, Winston Salem, NC, 27157, USA
| | - John H Rossmeisl
- Veterinary and Comparative Neuro-Oncology Laboratory, Department of Small Animal Clinical Sciences, Virginia-Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, VA, 24061, USA; Brain Tumor Center of Excellence, Wake Forest University Comprehensive Cancer Center, Medical Center Blvd, NRC 405, Winston Salem, NC, 27157, USA.
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Biswas T, Gudi S, Sane R. Acute hemiballismus in the absence of subthalamic nucleus lesion. MGM JOURNAL OF MEDICAL SCIENCES 2020. [DOI: 10.4103/mgmj.mgmj_60_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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Mascalchi M, Vella A. Neuroimaging Applications in Chronic Ataxias. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2018; 143:109-162. [PMID: 30473193 DOI: 10.1016/bs.irn.2018.09.011] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Magnetic resonance imaging (MRI), single photon emission computed tomography (SPECT) and positron emission tomography (PET) are the main instruments for neuroimaging investigation of patients with chronic ataxia. MRI has a predominant diagnostic role in the single patient, based on the visual detection of three patterns of atrophy, namely, spinal atrophy, cortical cerebellar atrophy and olivopontocerebellar atrophy, which correlate with the aetiologies of inherited or sporadic ataxia. In fact spinal atrophy is observed in Friedreich ataxia, cortical cerebellar atrophy in Ataxia Telangectasia, gluten ataxia and Sporadic Adult Onset Ataxia and olivopontocerebellar atrophy in Multiple System Atrophy cerebellar type. The 39 types of dominantly inherited spinocerebellar ataxias show either cortical cerebellar atrophy or olivopontocerebellar atrophy. T2 or T2* weighted MR images can contribute to the diagnosis by revealing abnormally increased or decreased signal with a characteristic distribution. These include symmetric T2 hyperintensity of the posterior and lateral columns of the cervical spinal cord in Friedreich ataxia, diffuse and symmetric hyperintensity of the cerebellar cortex in Infantile Neuro-Axonal Dystrophy, symmetric hyperintensity of the peridentate white matter in Cerebrotendineous Xanthomatosis, and symmetric hyperintensity of the middle cerebellar peduncles and peridentate white matter, cerebral white matter and corpus callosum in Fragile X Tremor Ataxia Syndrome. Abnormally decreased T2 or T2* signal can be observed with a multifocal distribution in Ataxia Telangectasia and with a symmetric distribution in the basal ganglia in Multiple System Atrophy. T2 signal hypointensity lining diffusely the outer surfaces of the brainstem, cerebellum and cerebrum enables diagnosis of superficial siderosis of the central nervous system. The diagnostic role of nuclear medicine techniques is smaller. SPECT and PET show decreased uptake of radiotracers investigating the nigrostriatal system in Multiple System Atrophy and in patients with Fragile X Tremor Ataxia Syndrome. Semiquantitative or quantitative MRI, SPECT and PET data describing structural, microstructural and functional changes of the cerebellum, brainstem, and spinal cord have been widely applied to investigate physiopathological changes in patients with chronic ataxias. Moreover they can track diseases progression with a greater sensitivity than clinical scales. So far, a few small-size and single center studies employed neuroimaging techniques as surrogate markers of treatment effects in chronic ataxias.
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Affiliation(s)
- Mario Mascalchi
- Meyer Children Hospital, Florence, Italy; Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
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16
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Ogawa T, Fujii S, Kuya K, Kitao SI, Shinohara Y, Ishibashi M, Tanabe Y. Role of Neuroimaging on Differentiation of Parkinson's Disease and Its Related Diseases. Yonago Acta Med 2018. [PMID: 30275744 DOI: 10.33160/yam.2018.09.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
An accurate diagnosis of Parkinson's disease (PD) is a prerequisite for therapeutic management. In spite of recent advances in the diagnosis of parkinsonian disorders, PD is misdiagnosed in between 6 and 25% of patients, even in specialized movement disorder centers. Although the gold standard for the diagnosis of PD is a neuropathological assessment, neuroimaging has been playing an important role in the differential diagnosis of PD and is used for clinical diagnostic criteria. In clinical practice, differential diagnoses of PD include atypical parkinsonian syndromes such as dementia with Lewy bodies, multiple system atrophy, progressive supranuclear palsy, corticobasal degeneration, caused by a striatal dopamine deficiency following nigrostrial degeneration. PD may also be mimicked by syndromes not associated with a striatal dopamine deficiency such as essential tremor, drug-induced parkinsonism, and vascular parkinsonism. Moreover, difficulties are associated with the clinical differentiation of patients with parkinsonism from those with Alzheimer's disease. In this review, we summarize the typical imaging findings of PD and its related diseases described above using morphological imaging modalities (conventional MR imaging and neuromelanin MR imaging) and functional imaging modalities (99mTc-ethyl cysteinate dimer perfusion single photon emission computed tomography, 123I-metaiodobenzylguanidine myocardial scintigraphy, and 123I-FP-CIT dopamine transporter single photon emission computed tomography) that are clinically available in most hospitals. We also attempt to provide a diagnostic approach for the differential diagnosis of PD and its related diseases in clinical practice.
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Affiliation(s)
- Toshihide Ogawa
- Division of Radiology, Department of Pathophysiological and Therapeutic Science, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8504, Japan
| | - Shinya Fujii
- Division of Radiology, Department of Pathophysiological and Therapeutic Science, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8504, Japan
| | - Keita Kuya
- Division of Radiology, Department of Pathophysiological and Therapeutic Science, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8504, Japan
| | - Shin-Ichiro Kitao
- Division of Radiology, Department of Pathophysiological and Therapeutic Science, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8504, Japan
| | - Yuki Shinohara
- Division of Radiology, Department of Pathophysiological and Therapeutic Science, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8504, Japan
| | - Mana Ishibashi
- Division of Radiology, Department of Pathophysiological and Therapeutic Science, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8504, Japan
| | - Yoshio Tanabe
- Division of Radiology, Department of Pathophysiological and Therapeutic Science, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8504, Japan
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17
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Abstract
The emerging role of molecular imaging has made possible to evaluate and quantify biochemical changes of molecular targets in specific neurochemical systems involved in movement disorders, providing neurochemical information of clinical changes before the pathological features occurred. In detail, radionuclides imaging techniques are frequently used for the in vivo study of neurotransmitter and receptor function, alterations in cerebral blood flow and metabolic activity, abnormal protein deposition, and inflammation, with a central role in molecular imaging for preclinical and clinical studies. The present chapter represents an overview of main use of single-photon emission computed tomography (SPECT) in movement disorders, with a focal attention on specific radiotracers used, recent advances in SPECT technology and reconstruction algorithm and added specific value of semiquantitative methods for images analysis. Finally, a brief paragraph is dedicated to description of SPECT/CT devices and advantages of using hybrid technology.
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18
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Peterson AC, Li CSR. Noradrenergic Dysfunction in Alzheimer's and Parkinson's Diseases-An Overview of Imaging Studies. Front Aging Neurosci 2018; 10:127. [PMID: 29765316 PMCID: PMC5938376 DOI: 10.3389/fnagi.2018.00127] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Accepted: 04/16/2018] [Indexed: 12/31/2022] Open
Abstract
Noradrenergic dysfunction contributes to cognitive impairment in Alzheimer's Disease (AD) and Parkinson's Disease (PD). Conventional therapeutic strategies seek to enhance cholinergic and dopaminergic neurotransmission in AD and PD, respectively, and few studies have examined noradrenergic dysfunction as a target for medication development. We review the literature of noradrenergic dysfunction in AD and PD with a focus on human imaging studies that implicate the locus coeruleus (LC) circuit. The LC sends noradrenergic projections diffusely throughout the cerebral cortex and plays a critical role in attention, learning, working memory, and cognitive control. The LC undergoes considerable degeneration in both AD and PD. Advances in magnetic resonance imaging have facilitated greater understanding of how structural and functional alteration of the LC may contribute to cognitive decline in AD and PD. We discuss the potential roles of the noradrenergic system in the pathogenesis of AD and PD with an emphasis on postmortem anatomical studies, structural MRI studies, and functional MRI studies, where we highlight changes in LC connectivity with the default mode network (DMN). LC degeneration may accompany deficient capacity in suppressing DMN activity and increasing saliency and task control network activities to meet behavioral challenges. We finish by proposing potential and new directions of research to address noradrenergic dysfunction in AD and PD.
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Affiliation(s)
- Andrew C Peterson
- Frank H. Netter MD School of Medicine, Quinnipiac University, North Haven, CT, United States.,Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.,Department of Neuroscience, Yale University School of Medicine, New Haven, CT, United States.,Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, United States
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19
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Neuroimaging in Parkinson's disease: focus on substantia nigra and nigro-striatal projection. Curr Opin Neurol 2018; 30:416-426. [PMID: 28537985 DOI: 10.1097/wco.0000000000000463] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
PURPOSE OF REVIEW The diagnosis of Parkinson disease is based on clinical features; however, unmet need is an imaging signature for Parkinson disease and the early differential diagnosis with atypical parkinsonisms. A summary of the molecular imaging and MRI recent evidences for Parkinson disease diagnosis will be presented in this review. RECENT FINDINGS The nigro-striatal dysfunction explored by dopamine transporter imaging is not a mandatory diagnostic criterion for Parkinson disease, recent evidence supported its utility as in-vivo proof of degenerative parkinsonisms, and there might be compensatory mechanisms leading to an early overestimation. The visualization of abnormalities in substantia nigra by MRI has been recently described as sensitive and specific tool for Parkinson disease diagnosis, even in preclinical conditions, whereas it is not useful for distinguishing between Parkinson disease and atypical parkinsonisms. The relationship between the nigral anatomical changes, evaluated as structural alterations or neuromelanin signal decrease and the dopaminergic nigro-striatal function needs to be further clarified. SUMMARY With the hopeful advent of potential neuroprotective drugs for PD, it is crucial to have imaging measures that are able to detect at risk subjects. Moreover it is desirable to increase the knowledge about which measure better predicts the probability and the time of clinical conversion to PD.
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20
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Nizamani WM, Mubarak F, Barakzai MD, Ahmed MS. Role of magnetic resonance planimetry and magnetic resonance parkinsonism index in discriminating Parkinson's disease and progressive supranuclear palsy: a retrospective study based on 1.5 and 3 T MRI. Int J Gen Med 2017; 10:375-384. [PMID: 29184432 PMCID: PMC5673040 DOI: 10.2147/ijgm.s134297] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Objective The objective of the study was to assess magnetic resonance (MR) planimetric measurements and MR parkinsonism index (MRPI) in differentiating progressive supranuclear palsy (PSP) from Parkinson’s disease (PD) using 1.5 and 3 T MRI scanner. Subjects and methods After ethical approval was obtained, analysis of 34 consecutive patients with PSP, 34 patients with PD and 34 healthy controls (HCs) was performed. HCs were age-matched adults without any history of neurodegenerative disease or movement disorders. Retrospective data from the past 10 years (from January 2006 to December 2015) were obtained from the Hospital Information Management System, and informed consent was obtained from all participants. The measurements of pons area–midbrain area ratio (P/M) and MCP width–superior cerebellar peduncle (SCP) width ratio (MCP/SCP) were used, and MRPI was calculated by the formula ([P/M]×[MCP/SCP]). Results Midbrain area and SCP width in patients with PSP (19 males, 15 females; mean age =66.7 years) were significantly (P<0.001) smaller than in patients with PD (20 males, 14 females; mean age =66.7 years) and control participants (17 males, 17 females; mean age =66.1 years). P/M and MCP/SCP were significantly higher in patients with PSP than in patients with PD and control participants. All measurements showed some overlap of values between patients with PSP and patients from PD group and control participants. MRPI value was significantly higher in patients with PSP (mean 21.00) than in patients with PD (mean 9.50; P<0.001) and control participants (mean 9.6; P<0.001), without any overlap of values among groups. No correlation was found between the duration of disease, PSP rating scale, PSP staging system and MRPI in this study. No patient with PSP received a misdiagnosis when the index was used (sensitivity and specificity, 100%). Conclusion MRPI should be made an essential part of all MRI brain reporting whenever differentiation between PD and PSP is sought for.
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Affiliation(s)
| | - Fatima Mubarak
- Department of Radiology, Aga Khan University Hospital, Karachi, Pakistan
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21
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Serrano JI, Romero JP, Castillo MDD, Rocon E, Louis ED, Benito-León J. A data mining approach using cortical thickness for diagnosis and characterization of essential tremor. Sci Rep 2017; 7:2190. [PMID: 28526878 PMCID: PMC5438396 DOI: 10.1038/s41598-017-02122-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Accepted: 04/06/2017] [Indexed: 01/22/2023] Open
Abstract
Essential tremor (ET) is one of the most prevalent movement disorders. Being that it is a common disorder, its diagnosis is considered routine. However, misdiagnoses may occur regularly. Over the past decade, several studies have identified brain morphometric changes in ET, but these changes remain poorly understood. Here, we tested the informativeness of measuring cortical thickness for the purposes of ET diagnosis, applying feature selection and machine learning methods to a study sample of 18 patients with ET and 18 age- and sex-matched healthy control subjects. We found that cortical thickness features alone distinguished the two, ET from controls, with 81% diagnostic accuracy. More specifically, roughness (i.e., the standard deviation of cortical thickness) of the right inferior parietal and right fusiform areas was shown to play a key role in ET characterization. Moreover, these features allowed us to identify subgroups of ET patients as well as healthy subjects at risk for ET. Since treatment of tremors is disease specific, accurate and early diagnosis plays an important role in tremor management. Supporting the clinical diagnosis with novel computer approaches based on the objective evaluation of neuroimage data, like the one presented here, may represent a significant step in this direction.
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Affiliation(s)
- J Ignacio Serrano
- Neural and Cognitive Engineering group, Automation and Robotics Center (CAR), CSIC-UPM, Arganda del Rey, Spain.
| | - Juan P Romero
- Faculty of Biosanitary Sciences, Francisco de Vitoria University, Pozuelo de Alarcón, Madrid, Spain
- Brain Damage Service, Hospital Beata Maria Ana, Madrid, Spain
| | - Ma Dolores Del Castillo
- Neural and Cognitive Engineering group, Automation and Robotics Center (CAR), CSIC-UPM, Arganda del Rey, Spain
| | - Eduardo Rocon
- Neural and Cognitive Engineering group, Automation and Robotics Center (CAR), CSIC-UPM, Arganda del Rey, Spain
| | - Elan D Louis
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
- Center for Neuroepidemiology and Clinical Neurological Research, Yale School of Medicine and Yale School of Public Health, New Haven, CT, USA
| | - Julián Benito-León
- Department of Neurology, Center of Biomedical Network Research on Neurodegenerative Diseases (CIBERNED), University Hospital 12 de Octubre, Madrid, Spain.
- Department of Medicine, Faculty of Medicine Complutense University, Madrid, Spain.
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22
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Smith R, Schain M, Nilsson C, Strandberg O, Olsson T, Hägerström D, Jögi J, Borroni E, Schöll M, Honer M, Hansson O. Increased basal ganglia binding of 18 F-AV-1451 in patients with progressive supranuclear palsy. Mov Disord 2016; 32:108-114. [PMID: 27709757 PMCID: PMC6204612 DOI: 10.1002/mds.26813] [Citation(s) in RCA: 97] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2016] [Revised: 08/29/2016] [Accepted: 08/31/2016] [Indexed: 11/25/2022] Open
Abstract
Background Progressive supranuclear palsy (PSP) is difficult to diagnose accurately. The recently developed tau PET tracers may improve the diagnostic work‐up of PSP. Methods Regional tau accumulation was studied using 18F‐AV‐1451 PET in 11 patients with PSP and 11 age‐matched healthy controls in the Swedish BioFinder study. Results 18F‐AV‐1451 standard uptake volume ratios were significantly higher in the basal ganglia in PSP patients when compared with controls (globus pallidus 1.75 vs 1.50; putamen 1.51 vs 1.35). Retention in the basal ganglia was correlated with age in both groups (r = .43–.78, P < .05). In PSP, we observed a significant correlation between clinical deterioration measured with the PSP rating scale and standard uptake volume ratios in the globus pallidus (r = .74, P < .05). However, no 18F‐AV‐1451 retention was observed in the cerebral cortex or white matter of either PSP patients or controls, and autoradiography did not reveal any specific binding of AV‐1451 to PSP tau aggregates. Conclusion We found higher 18F‐AV‐1451 retention in the basal ganglia of PSP patients when compared with healthy elderly controls, but also increases with age in both controls and patients. As a result of the overlap in retention between diagnostic groups and the age‐dependent increase present also in controls, 18F‐AV‐1451 PET might not reliably distinguish individual patients with PSP from controls. However, further studies are needed to evaluate whether 18F‐AV‐1451 PET might be useful as a progression marker in clinical PSP trials. © The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Ruben Smith
- Skåne University Hospital, Department of Neurology, Lund, Sweden
| | - Martin Schain
- Lund University, Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Malmö, Sweden
| | - Christer Nilsson
- Skåne University Hospital, Department of Neurology, Lund, Sweden.,Lund University, Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Malmö, Sweden
| | - Olof Strandberg
- Lund University, Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Malmö, Sweden
| | - Tomas Olsson
- Skåne University Hospital, Department of Radiation Physics, Lund, Sweden
| | - Douglas Hägerström
- Skåne University Hospital, Department of Clinical Neurophysiology, Lund, Sweden
| | - Jonas Jögi
- Skåne University Hospital, Department of Clinical Physiology and Nuclear Medicine, Lund, Sweden
| | - Edilio Borroni
- Roche Pharmaceutical Research and Early Development, Neuroscience Discovery & Biomarkers, Roche Innovation Center, Basel, Switzerland
| | - Michael Schöll
- Lund University, Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Malmö, Sweden.,MedTech West and the University of Gothenburg, Department of Clinical Neuroscience, Gothenburg, Sweden
| | - Michael Honer
- Roche Pharmaceutical Research and Early Development, Neuroscience Discovery & Biomarkers, Roche Innovation Center, Basel, Switzerland
| | - Oskar Hansson
- Lund University, Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Malmö, Sweden.,Skåne University Hospital, Memory Clinic, Malmö, Sweden
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23
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Multimodality Imaging of Neurodegenerative Processes: Part 2, Atypical Dementias. AJR Am J Roentgenol 2016; 207:883-895. [DOI: 10.2214/ajr.14.12910] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
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24
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Brain MR Contribution to the Differential Diagnosis of Parkinsonian Syndromes: An Update. PARKINSONS DISEASE 2016; 2016:2983638. [PMID: 27774334 PMCID: PMC5059618 DOI: 10.1155/2016/2983638] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/22/2016] [Revised: 08/08/2016] [Accepted: 09/01/2016] [Indexed: 12/26/2022]
Abstract
Brain magnetic resonance (MR) represents a useful and feasible tool for the differential diagnosis of Parkinson's disease. Conventional MR may reveal secondary forms of parkinsonism and may show peculiar brain alterations of atypical parkinsonian syndromes. Furthermore, advanced MR techniques, such as morphometric-volumetric analyses, diffusion-weighted imaging, diffusion tensor imaging, tractography, proton MR spectroscopy, and iron-content sensitive imaging, have been used to obtain quantitative parameters useful to increase the diagnostic accuracy. Currently, many MR studies have provided both qualitative and quantitative findings, reflecting the underlying neuropathological pattern of the different degenerative parkinsonian syndromes. Although the variability in the methods and results across the studies limits the conclusion about which technique is the best, specific radiologic phenotypes may be identified. Qualitative/quantitative MR changes in the substantia nigra do not discriminate between different parkinsonisms. In the absence of extranigral abnormalities, the diagnosis of PD is more probable, whereas basal ganglia changes (mainly in the putamen) suggest the diagnosis of an atypical parkinsonian syndrome. In this context, changes in pons, middle cerebellar peduncles, and cerebellum suggest the diagnosis of MSA, in midbrain and superior cerebellar peduncles the diagnosis of PSP, and in whole cerebral hemispheres (mainly in frontoparietal cortex with asymmetric distribution) the diagnosis of Corticobasal Syndrome.
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25
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Broski SM, Hunt CH, Johnson GB, Morreale RF, Lowe VJ, Peller PJ. Structural and functional imaging in parkinsonian syndromes. Radiographics 2015; 34:1273-92. [PMID: 25208280 DOI: 10.1148/rg.345140009] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Movement disorders with parkinsonian features are common, and in recent years imaging has assumed a greater role in diagnosis and management. Thus, it is important that radiologists become familiar with the most common imaging patterns of parkinsonism, especially given the significant clinical overlap and diagnostic difficulty associated with these disorders. The authors review the most common magnetic resonance (MR) and molecular imaging patterns of idiopathic Parkinson disease and atypical parkinsonian syndromes. They also discuss the interpretation of clinically available molecular imaging studies, including assessment of cerebral metabolism with 2-[fluorine-18]fluoro-2-deoxy-d-glucose (FDG) positron emission tomography (PET), cortical amyloid deposition with carbon 11 ((11)C) Pittsburgh compound B and fluorine 18 ((18)F) florbetapir PET, and dopaminergic activity with iodine 123 ((123)I) ioflupane single photon emission computed tomography (SPECT). Although no single imaging test is diagnostic, a combination of tests may help narrow the differential diagnosis. Findings at (123)I ioflupane SPECT can confirm the loss of dopaminergic neurons in patients with parkinsonism and help distinguish these syndromes from treatable conditions, including essential tremor and drug-induced parkinsonism. FDG PET uptake can demonstrate patterns of neuronal dysfunction that are specific to a particular parkinsonian syndrome. Although MR imaging findings are typically nonspecific in parkinsonian syndromes, classic patterns of T2 signal change can be seen in multiple system atrophy and progressive supranuclear palsy. Finally, positive amyloid-binding PET findings can support the diagnosis of dementia with Lewy bodies. Combined with a thorough clinical evaluation, multimodality imaging information can afford accurate diagnosis, allow selection of appropriate therapy, and provide important prognostic information.
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Affiliation(s)
- Stephen M Broski
- From the Departments of Radiology (S.M.B., C.H.H., G.B.J., V.J.L., P.J.P.), Immunology (G.B.J.), and Medical Illustration (R.F.M.), Mayo Clinic, 200 First St SW, Rochester, MN 55905
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26
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Cordato NJ, Halliday GM. The differentiation of progressive supranuclear palsy. Neurodegener Dis Manag 2015; 5:385-8. [PMID: 26510162 DOI: 10.2217/nmt.15.37] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Affiliation(s)
- Nicholas J Cordato
- St George & Calvary Hospitals, 3 Chapel Street, Kogarah NSW 2217, Sydney, Australia.,Neuroscience Research Australia & University of New South Wales, Sydney, Australia
| | - Glenda M Halliday
- Neuroscience Research Australia & University of New South Wales, Sydney, Australia
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27
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Dąbrowska M, Schinwelski M, Sitek EJ, Muraszko-Klaudel A, Brockhuis B, Jamrozik Z, Sławek J. The role of neuroimaging in the diagnosis of the atypical parkinsonian syndromes in clinical practice. Neurol Neurochir Pol 2015; 49:421-31. [PMID: 26652877 DOI: 10.1016/j.pjnns.2015.10.002] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2015] [Revised: 10/01/2015] [Accepted: 10/06/2015] [Indexed: 11/18/2022]
Abstract
Atypical parkinsonian disorders (APD) are a heterogenous group of neurodegenerative diseases such as: progressive supranuclear palsy (PSP), multiple system atrophy (MSA), cortico-basal degeneration (CBD) and dementia with Lewy bodies (DLB). In all of them core symptoms of parkinsonian syndrome are accompanied by many additional clinical features not typical for idiopathic Parkinson's disease (PD) like rapid progression, gaze palsy, apraxia, ataxia, early cognitive decline, dysautonomia and usually poor response to levodopa therapy. In the absence of reliably validated biomarkers the diagnosis is still challenging and mainly based on clinical criteria. However, robust data emerging from routine magnetic resonance imaging (MRI) as well as from many advanced MRI techniques such as: diffusion weighted imaging (DWI) and diffusion tensor imaging (DTI), magnetic resonance spectroscopy (MRS), voxel-based morphometry (VBM), susceptibility-weighted imaging (SWI) may help in differential diagnosis. The main aim of this review is to summarize briefly the most important and acknowledged radiological findings of conventional MRI due to its availability in standard clinical settings. Nevertheless, we present shortly other methods of structural (like TCS - transcranial sonography) and functional imaging (like SPECT - single photon emission computed tomography or PET - positron emission tomography) as well as some selected advanced MRI techniques and their potential future applications in supportive role in distinguishing APD.
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Affiliation(s)
- Magda Dąbrowska
- Neurology Department, St. Adalbert Hospital, Copernicus Podmiot Leczniczy Sp. z o.o., Gdańsk, Poland.
| | - Michał Schinwelski
- Neurology Department, St. Adalbert Hospital, Copernicus Podmiot Leczniczy Sp. z o.o., Gdańsk, Poland; Department of Neurological and Psychiatric Nursing, Medical University of Gdańsk, Gdańsk, Poland
| | - Emilia J Sitek
- Neurology Department, St. Adalbert Hospital, Copernicus Podmiot Leczniczy Sp. z o.o., Gdańsk, Poland; Department of Neurological and Psychiatric Nursing, Medical University of Gdańsk, Gdańsk, Poland
| | - Anna Muraszko-Klaudel
- Radiology Department, St. Adalbert Hospital, Copernicus Podmiot Leczniczy Sp. z o.o., Gdańsk, Poland
| | - Bogna Brockhuis
- Nuclear Medicine Department, Medical University of Gdańsk, Gdańsk, Poland
| | - Zygmunt Jamrozik
- Neurology Department, Medical University of Warsaw, Warsaw, Poland
| | - Jarosław Sławek
- Neurology Department, St. Adalbert Hospital, Copernicus Podmiot Leczniczy Sp. z o.o., Gdańsk, Poland; Department of Neurological and Psychiatric Nursing, Medical University of Gdańsk, Gdańsk, Poland
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28
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Goveas J, O'Dwyer L, Mascalchi M, Cosottini M, Diciotti S, De Santis S, Passamonti L, Tessa C, Toschi N, Giannelli M. Diffusion-MRI in neurodegenerative disorders. Magn Reson Imaging 2015; 33:853-76. [PMID: 25917917 DOI: 10.1016/j.mri.2015.04.006] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2014] [Revised: 04/18/2015] [Accepted: 04/19/2015] [Indexed: 12/11/2022]
Abstract
The ability to image the whole brain through ever more subtle and specific methods/contrasts has come to play a key role in understanding the basis of brain abnormalities in several diseases. In magnetic resonance imaging (MRI), "diffusion" (i.e. the random, thermally-induced displacements of water molecules over time) represents an extraordinarily sensitive contrast mechanism, and the exquisite structural detail it affords has proven useful in a vast number of clinical as well as research applications. Since diffusion-MRI is a truly quantitative imaging technique, the indices it provides can serve as potential imaging biomarkers which could allow early detection of pathological alterations as well as tracking and possibly predicting subtle changes in follow-up examinations and clinical trials. Accordingly, diffusion-MRI has proven useful in obtaining information to better understand the microstructural changes and neurophysiological mechanisms underlying various neurodegenerative disorders. In this review article, we summarize and explore the main applications, findings, perspectives as well as challenges and future research of diffusion-MRI in various neurodegenerative disorders including Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, Huntington's disease and degenerative ataxias.
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Affiliation(s)
- Joseph Goveas
- Department of Psychiatry and Behavioral Medicine, and Institute for Health and Society, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Laurence O'Dwyer
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Frankfurt, Germany
| | - Mario Mascalchi
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy; Quantitative and Functional Neuroradiology Research Program at Meyer Children and Careggi Hospitals of Florence, Florence, Italy
| | - Mirco Cosottini
- Department of Translational Research and New Surgical and Medical Technologies, University of Pisa, Pisa, Italy; Unit of Neuroradiology, Pisa University Hospital "Azienda Ospedaliero-Universitaria Pisana", Pisa, Italy
| | - Stefano Diciotti
- Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, Cesena, Italy
| | - Silvia De Santis
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
| | - Luca Passamonti
- Institute of Bioimaging and Molecular Physiology, National Research Council, Catanzaro, Italy; Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Carlo Tessa
- Division of Radiology, "Versilia" Hospital, AUSL 12 Viareggio, Lido di Camaiore, Italy
| | - Nicola Toschi
- Department of Biomedicine and Prevention, Medical Physics Section, University of Rome "Tor Vergata", Rome, Italy; Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Marco Giannelli
- Unit of Medical Physics, Pisa University Hospital "Azienda Ospedaliero-Universitaria Pisana", Pisa, Italy.
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Mascalchi M, Toschi N, Giannelli M, Ginestroni A, Della Nave R, Nicolai E, Bianchi A, Tessa C, Salvatore E, Aiello M, Soricelli A, Diciotti S. Progression of microstructural damage in spinocerebellar ataxia type 2: a longitudinal DTI study. AJNR Am J Neuroradiol 2015; 36:1096-101. [PMID: 25882284 DOI: 10.3174/ajnr.a4343] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2014] [Accepted: 11/21/2014] [Indexed: 12/14/2022]
Abstract
BACKGROUND AND PURPOSE The ability of DTI to track the progression of microstructural damage in patients with inherited ataxias has not been explored so far. We performed a longitudinal DTI study in patients with spinocerebellar ataxia type 2. MATERIALS AND METHODS Ten patients with spinocerebellar ataxia type 2 and 16 healthy age-matched controls were examined twice with DTI (mean time between scans, 3.6 years [patients] and 3.3 years [controls]) on the same 1.5T MR scanner. Using tract-based spatial statistics, we analyzed changes in DTI-derived indices: mean diffusivity, axial diffusivity, radial diffusivity, fractional anisotropy, and mode of anisotropy. RESULTS At baseline, the patients with spinocerebellar ataxia type 2, as compared with controls, showed numerous WM tracts with significantly increased mean diffusivity, axial diffusivity, and radial diffusivity and decreased fractional anisotropy and mode of anisotropy in the brain stem, cerebellar peduncles, cerebellum, cerebral hemisphere WM, corpus callosum, and thalami. Longitudinal analysis revealed changes in axial diffusivity and mode of anisotropy in patients with spinocerebellar ataxia type 2 that were significantly different than those in the controls. In patients with spinocerebellar ataxia type 2, axial diffusivity was increased in WM tracts of the right cerebral hemisphere and the corpus callosum, and the mode of anisotropy was extensively decreased in hemispheric cerebral WM, corpus callosum, internal capsules, cerebral peduncles, pons and left cerebellar peduncles, and WM of the left paramedian vermis. There was no correlation between the progression of changes in DTI-derived indices and clinical deterioration. CONCLUSIONS DTI can reveal the progression of microstructural damage of WM fibers in the brains of patients with spinocerebellar ataxia type 2, and mode of anisotropy seems particularly sensitive to such changes. These results support the potential of DTI-derived indices as biomarkers of disease progression.
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Affiliation(s)
- M Mascalchi
- From the Quantitative and Functional Neuroradiology Research Unit (M.M.), Meyer Children and Careggi Hospitals of Florence, Florence, Italy "Mario Serio" Department of Experimental and Clinical Biomedical Sciences (M.M., A.B.), University of Florence, Florence, Italy
| | - N Toschi
- Medical Physics Section (N.T.), Department of Biomedicine and Prevention, University of Rome "Tor Vergata," Rome, Italy Department of Radiology (N.T.), Athinoula A. Martinos Center for Biomedical Imaging, Boston, Massachusetts Harvard Medical School (N.T.), Boston, Massachusetts
| | - M Giannelli
- Unit of Medical Physics (M.G.), Pisa University Hospital "Azienda Ospedaliero-Universitaria Pisana," Pisa, Italy
| | - A Ginestroni
- Neuroradiology Unit (A.G.), Careggi General Hospital, Florence, Italy
| | | | - E Nicolai
- IRCSS SDN Foundation (E.N., M.A., A.S.), Naples, Italy
| | - A Bianchi
- From the Quantitative and Functional Neuroradiology Research Unit (M.M.), Meyer Children and Careggi Hospitals of Florence, Florence, Italy
| | - C Tessa
- Unit of Radiology (C.T.), Versilia Hospital, Lido di Camaiore, Italy
| | - E Salvatore
- Department of Neurological Sciences (E.S.), University of Naples Federico II, Naples, Italy
| | - M Aiello
- IRCSS SDN Foundation (E.N., M.A., A.S.), Naples, Italy
| | - A Soricelli
- IRCSS SDN Foundation (E.N., M.A., A.S.), Naples, Italy University of Naples Parthenope (A.S.), Naples, Italy
| | - S Diciotti
- Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" (S.D.), University of Bologna, Cesena, Italy
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Degnan AJ, Levy LM. Neuroimaging of rapidly progressive dementias, part 1: neurodegenerative etiologies. AJNR Am J Neuroradiol 2014; 35:418-23. [PMID: 23436051 PMCID: PMC7964711 DOI: 10.3174/ajnr.a3454] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Most dementias begin insidiously, developing slowly and generally occurring in the elderly age group. The so-called rapidly progressive dementias constitute a different, diverse collection of conditions, many of which are reversible or treatable. For this reason, prompt identification and assessment of acute and subacute forms of dementia are critical to effective treatment. Numerous other entities within this category of presenile rapid-onset dementias are untreatable such as the prion-related diseases. Neuroimaging aids in the diagnosis and evaluation of many of these rapidly progressive dementias, which include myriad conditions ranging from variations of more common neurodegenerative dementias, such as Alzheimer disease, dementia with Lewy bodies, and frontotemporal dementia; infectious-related dementias such as acquired immune deficiency syndrome dementia; autoimmune and malignancy-related conditions; to toxic and metabolic forms of encephalopathy. This first of a 2-part review will specifically address the ability of MR imaging and ancillary neuroimaging strategies to support the diagnostic evaluation of rapidly progressive dementias due to neurodegenerative causes.
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Affiliation(s)
- A J Degnan
- From the University of Pittsburgh Medical Center (A.J.D.), Pittsburgh, Pennsylvania
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Besterman AD, Wilke SA, Mulligan TE, Allison SC, Hagerman R, Seritan AL, Bourgeois JA. Towards an Understanding of Neuropsychiatric Manifestations in Fragile X Premutation Carriers. FUTURE NEUROLOGY 2014; 9:227-239. [PMID: 25013385 DOI: 10.2217/fnl.14.11] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Fragile X-associated disorders (FXD) are a group of disorders caused by expansion of non-coding CGG repeat elements in the fragile X (FMR1) gene. One of these disorders, fragile X syndrome (FXS), is the most common heritable cause of intellectual disability, and is caused by large CGG repeat expansions (>200) resulting in silencing of the FMR1 gene. An increasingly recognized number of neuropsychiatric FXD have recently been identified that are caused by 'premutation' range expansions (55-200). These disorders are characterized by a spectrum of neuropsychiatric manifestations ranging from an increased risk of neurodevelopmental, mood and anxiety disorders to neurodegenerative phenotypes such as the fragile X-associated tremor ataxia syndrome (FXTAS). Here, we review advances in the clinical understanding of neuropsychiatric disorders in premutation carriers across the lifespan and offer guidance for the detection of such disorders by practicing psychiatrists and neurologists.
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Affiliation(s)
- Aaron D Besterman
- Department of Psychiatry, University of California San Francisco School of Medicine, San Francisco, California 94143 USA
| | - Scott A Wilke
- Department of Psychiatry, University of California San Francisco School of Medicine, San Francisco, California 94143 USA
| | - Tua-Elisabeth Mulligan
- Department of Psychiatry, University of California San Francisco School of Medicine, San Francisco, California 94143 USA
| | - Stephen C Allison
- Department of Psychiatry, University of California San Francisco School of Medicine, San Francisco, California 94143 USA
| | - Randi Hagerman
- Department of Pediatrics and MIND Institute, University of California Davis, Sacramento, California 95817 USA
| | - Andreea L Seritan
- Department of Psychiatry and Behavioral Sciences and MIND Institute, University of California Davis, Sacramento, California 95817 USA
| | - James A Bourgeois
- Department of Psychiatry, University of California San Francisco School of Medicine, San Francisco, California 94143 USA
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Imaging brain iron and diffusion patterns: a follow-up study of Parkinson's disease in the initial stages. Acad Radiol 2014; 21:64-71. [PMID: 24331266 DOI: 10.1016/j.acra.2013.09.018] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2013] [Revised: 09/18/2013] [Accepted: 09/18/2013] [Indexed: 12/28/2022]
Abstract
RATIONALE AND OBJECTIVES The aim of this study was to examine changes of brain iron content and diffusion patterns longitudinally in early-stage Parkinson's disease (PD) patients using T2- and T2*-based magnetic resonance imaging (MRI) over 2-year follow-up. MATERIALS AND METHODS We imaged 32 PD patients with tremor and 19 healthy controls. A follow-up study (median 25 months, range 22-31 months) was accomplished for 25 patients (men:women = 11:14; age range 44-87 years, median 73 years). All patients and healthy volunteers underwent clinical, neuropsychological, and MRI examinations on the same day. Three different MRI sequences were used and their results were compared: T2-weighted imaging, susceptibility-weighted imaging, and T2* mapping. Additionally, we evaluated diffusion tensor data between groups using tract-based spatial statistics. RESULTS Over the 2-year follow-up, the iron-related relaxation increased in the globus pallidus anterior and the caudate nucleus and slightly in the substantia nigra pars compacta (SNc). In the globus pallidus anterior and medial SNc, the change was associated with mild cognitive impairment. In the caudate nucleus, the increase was pronounced in patients with disease onset at 67 years or older. In the SNc, medial transverse relaxation was increased, and in the thalamus, it was decreased, in patients with PD compared with healthy volunteers at 2-year follow-up. Tract-based spatial statistical data did not differ between groups based on gender or Unified Parkinson's Disease Rating Scale, but a slight tendency to decreasing fractional anisotropy (P < .10) in the genu of corpus callosum and bilaterally in corona radiata was seen over 2 years. CONCLUSIONS PD-related changes were found in putative iron content over 2 years. Although mild in the initial stages, these changes were consistent over MRI sequences. Rather than correlating with disease duration, the rate of changes was associated with individual characters, such as cognitive decline and age.
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Sidorsky TI, Christine CW, Epstein JH, Berger TG. Development of corticobasal syndrome in a patient with congenital erythropoietic porphyria. Parkinsonism Relat Disord 2013; 20:349-50. [PMID: 24388147 DOI: 10.1016/j.parkreldis.2013.12.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2013] [Revised: 11/01/2013] [Accepted: 12/09/2013] [Indexed: 01/12/2023]
Affiliation(s)
- Tivon I Sidorsky
- Department of Dermatology, University of California, San Francisco, San Francisco, CA, United States
| | - Chadwick W Christine
- Department of Neurology, University of California, San Francisco, San Francisco, CA, United States.
| | - John H Epstein
- Department of Dermatology, University of California, San Francisco, San Francisco, CA, United States
| | - Timothy G Berger
- Department of Dermatology, University of California, San Francisco, San Francisco, CA, United States
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Bor-Seng-Shu E, Pedroso JL, Andrade DCD, Barsottini OGP, Andrade LAFD, Barbosa ER, Teixeira MJ. Transcranial sonography in Parkinson's disease. EINSTEIN-SAO PAULO 2013; 10:242-6. [PMID: 23052464 DOI: 10.1590/s1679-45082012000200022] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2012] [Accepted: 05/25/2012] [Indexed: 11/22/2022] Open
Abstract
Transcranial sonography has become a useful tool in the differential diagnosis of parkinsonian syndromes. This is a non-invasive, low cost procedure. The main finding on transcranial sonography in patients with idiopathic Parkinson's disease is an increased echogenicity of the mesencephalic substantia nigra region. This hyperechogenicity is present in more than 90% of cases, and reflects a dysfunction in the dopaminergic nigrostriatal pathway. This study discussed how the hyperechogenicity of the substantia nigra may facilitate the differential diagnosis of parkinsonian syndromes.
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Affiliation(s)
- Edson Bor-Seng-Shu
- Division of Clinical Neurosurgery, Universidade de São Paulo, São Paulo, SP, Brazil
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Degnan AJ, Levy LM. Neuroimaging of rapidly progressive dementias, part 2: prion, inflammatory, neoplastic, and other etiologies. AJNR Am J Neuroradiol 2013; 35:424-31. [PMID: 23413251 DOI: 10.3174/ajnr.a3455] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Most dementias begin insidiously, developing slowly and generally occurring in the elderly age group. The so-called rapidly progressive dementias constitute a different, diverse collection of conditions, many of which are reversible or treatable. For this reason, accurate identification and assessment of acute and subacute forms of dementia are critical to effective treatment; neuroimaging aids greatly in narrowing the diagnosis of these conditions. This second installment of a 2-part review of rapidly progressive dementias examines the use of imaging in an assortment of other etiologies in the differential diagnosis, from prion disease and neoplastic-related conditions to rare metabolic and other conditions such as Wernicke encephalopathy. In these clinical conditions, MR imaging has the potential to narrow this broad differential diagnosis and, at times, can definitively aid in the diagnosis of certain conditions on the basis of typical imaging patterns.
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Affiliation(s)
- A J Degnan
- From the University of Pittsburgh Medical Center (A.J.D.), Pittsburgh, Pennsylvania
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