“Parkinson-dementia” diseases: A comparison by double tracer SPECT studies

Rossi, C. A.; Volterrani, Duccio; Nicoletti, Valentina; Manca, Gianpiero; Frosini, Daniela; Kiferle, Lorenzo; Unti, Elisa; Feo, P De; Bonuccelli, Ubaldo; Ceravolo, Roberto

doi:10.1016/j.parkreldis.2009.05.012

Cited by 29 publications

(24 citation statements)

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“…In the PD-D patients, the highly decreased RWE values in the posterior channels can be associated with hypoperfusion in the occipital lobes and cerebellum [7]. Occipital hypofunction may be associated with abnormal saccadic eye movements or hemispatial neglect, both of which frequently occur in PD-D patients [34][35][36]. Few studies have compared AD and PD patients.…”

Section: Discussionmentioning

confidence: 99%

Wavelet Energy and Wavelet Coherence as EEG Biomarkers for the Diagnosis of Parkinson’s Disease-Related Dementia and Alzheimer’s Disease

Jeong

Kim

Song

et al. 2015

Entropy

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Abstract:Parkinson's disease (PD) and Alzheimer's disease (AD) can coexist in severely affected; elderly patients. Since they have different pathological causes and lesions and consequently require different treatments; it is critical to distinguish PD-related dementia (PD-D) from AD. Conventional electroencephalograph (EEG) analysis has produced poor results. This study investigated the possibility of using relative wavelet energy (RWE) and wavelet coherence (WC) analysis to distinguish between PD-D patients; AD patients and healthy elderly subjects. In EEG signals; we found that low-frequency wavelet energy increased and high-frequency wavelet energy decreased in PD-D patients and AD patients relative to healthy subjects. This result suggests that cognitive decline in both diseases is potentially related to slow EEG activity; which is consistent with previous studies. More importantly; WC values were lower in AD patients and higher in PD-D patients compared with healthy subjects. In particular; AD patients exhibited decreased WC primarily in the γ band and in links related to frontal regions; while PD-D patients exhibited increased WC primarily in the α and β bands and in temporo-parietal links. Linear discriminant analysis (LDA) of RWE produced a maximum accuracy of 79.18% for diagnosing PD-D and 81.25% for diagnosing AD. The discriminant accuracy was 73.40% with 78.78% sensitivity and 69.47% specificity. In distinguishing between the two diseases; the maximum performance of LDA using WC was 80.19%. We suggest that using a wavelet approach to evaluate EEG results may facilitate discrimination between PD-D and AD. In particular; RWE is useful for differentiating individuals with and without dementia and WC is useful for differentiating between PD-D and AD.

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Section: Discussionmentioning

confidence: 99%

Wavelet Energy and Wavelet Coherence as EEG Biomarkers for the Diagnosis of Parkinson’s Disease-Related Dementia and Alzheimer’s Disease

Jeong

Kim

Song

et al. 2015

Entropy

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“…Moreover, elderly individuals with PD are at a 6-fold risk of developing dementia compared with age-matched subjects [4]. The prevalence of PDD varies from 4 to 93%, with an average prevalence of 40% [2,5]. Previous neuropsychological studies have reported that 26% of PDD patients exhibit similar patterns of cortical cognitive impairment to those observed for patients with Alzheimer's disease (AD), the most common type of dementia characterized by deficits in memory, executive dysfunction, agnosia and apraxia [3].…”

Section: Introductionmentioning

confidence: 99%

Early Diagnosis of Alzheimer's Disease and Parkinson's Disease Associated with Dementia Using Cerebral Perfusion SPECT

Song

Chung

et al. 2013

Dement Geriatr Cogn Disord

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Background: Since patterns of cognitive dysfunction in mild Parkinson's disease associated with dementia (PDD) are similar to those in mild Alzheimer's disease (AD), it is difficult to accurately differentiate between these two types of dementia in their early phases using neuropsychological tests. The purpose of the current study was to investigate differences in cerebral perfusion patterns of patients with AD and PDD at the earliest stages using single photon emission computed tomography (SPECT). Methods: We consecutively recruited 31 patients with mild PDD, 32 patients with mild probable AD and 33 age-matched healthy subjects. All subjects underwent ^99mTc-hexamethylpropyleneamine oxime perfusion SPECT and completed general neuropsychological tests. Results: We found that both mild PDD and AD patients showed distinct hypoperfusion in frontal, parietal and temporal regions, compared with healthy subjects. More importantly, hypoperfusion in occipital and cerebellar regions was observed only in mild PDD. Conclusion: The observation of a significant decrease in cerebral perfusion in occipital and cerebellar regions in patients with mild PDD is likely useful to differentiate between PDD and AD at the earliest stages.

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“…Compared with PD, DLB patients showed significantly reduced SPECT signals in temporal areas and had lower scores at neuropsychological evaluation for mental manipulation, drawing and semantic verbal fluency. Conversely, SPECT analyses (FP-CIT and DAT) were unable to discriminate DLB and PDD (Rossi et al, 2009), thus supporting the hypothesis that these two forms of dementia belong to a continuum spectrum of a unique disease. In conclusion, the two different SPECT analyses (DAT and perfusion) have proven to be both useful, but DAT scan seems to be more robust and accurate for diagnostic purposes, as described in a recent study by Colloby and colleagues .…”

Section: Single Photon Emission Computed Tomography (Spect)mentioning

confidence: 61%