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Neuroimaging in Parkinsonian Disorders
Madhavi Tripathi1, Atin Kumar2, Chandrasekhar Bal1
1Department of Nuclear Medicine, All Institute of Medical Sciences, New Delhi, India.
Neurology India
|March 6, 2018
Summary
Neuroimaging techniques like PET, SPECT, and MRI aid in diagnosing Parkinson's disease (PD) and related disorders. Advanced methods offer objective classification by revealing neurochemical and neuroanatomical changes.
Area of Science:
- Neurology
- Radiology
- Medical Imaging
Background:
- Parkinson's disease (PD) diagnosis relies on clinical symptoms, but neuroimaging offers objective insights.
- Neuroimaging techniques probe brain changes related to neurotransmitter deficits and network alterations underlying PD motor symptoms.
Purpose of the Study:
- To review the role of various neuroimaging modalities in the diagnosis and classification of Parkinson's disease and related parkinsonian syndromes.
- To highlight how neuroimaging supports the Movement Disorders Society Clinical Diagnostic Criteria for PD.
Main Methods:
- Functional neuroimaging (PET, SPECT) to assess neurotransmitter systems.
- Morphological imaging (MRI, transcranial sonography) for structural analysis.
- Advanced MR techniques and metabolic imaging (FDG-PET) for classification and differential diagnosis.
Main Results:
- Dopaminergic imaging differentiates neurodegenerative from non-degenerative parkinsonism and aids in diagnosing dementia with Lewy bodies (DLB) versus Alzheimer's disease (AD).
- Metabolic and network patterns identified via PET enable automated classification of parkinsonian syndromes.
- Structural MRI and advanced MR techniques assist in classifying PD and atypical parkinsonian syndromes.
Conclusions:
- Multimodal neuroimaging provides an objective and accurate diagnostic classification of PD spectrum disorders by revealing underlying neurochemical and neuroanatomical changes.
- Developing in-vivo alpha-synuclein imaging remains a key challenge for advancing PD diagnostics.
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