IC-P-012: Subtypes of mild cognitive impairment differentiated based on limbic white matter integrity and cortical glucose metabolism: A pilot study using DTI and FDG-PET

2010 ◽  
Vol 6 ◽  
pp. S10-S10 ◽  
Author(s):  
Igor O. Korolev ◽  
Lori A. Hoisington ◽  
Kevin L. Berger ◽  
Andrea C. Bozoki
2021 ◽  
pp. 155005942110582
Author(s):  
Sophie A. Stewart ◽  
Laura Pimer ◽  
John D. Fisk ◽  
Benjamin Rusak ◽  
Ron A. Leslie ◽  
...  

Parkinson's disease (PD) is a neurodegenerative disorder that is typified by motor signs and symptoms but can also lead to significant cognitive impairment and dementia Parkinson's Disease Dementia (PDD). While dementia is considered a nonmotor feature of PD that typically occurs later, individuals with PD may experience mild cognitive impairment (PD-MCI) earlier in the disease course. Olfactory deficit (OD) is considered another nonmotor symptom of PD and often presents even before the motor signs and diagnosis of PD. We examined potential links among cognitive impairment, olfactory functioning, and white matter integrity of olfactory brain regions in persons with early-stage PD. Cognitive tests were used to established groups with PD-MCI and with normal cognition (PD-NC). Olfactory functioning was examined using the University of Pennsylvania Smell Identification Test (UPSIT) while the white matter integrity of the anterior olfactory structures (AOS) was examined using magnetic resonance imaging (MRI) diffusion tensor imaging (DTI) analysis. Those with PD-MCI demonstrated poorer olfactory functioning and abnormalities based on all DTI parameters in the AOS, relative to PD-NC individuals. OD and microstructural changes in the AOS of individuals with PD may serve as additional biological markers of PD-MCI.


2021 ◽  
Vol 18 ◽  
Author(s):  
Amir Ashraf-Ganjouei ◽  
Kamyar Moradi ◽  
Shahriar Faghani ◽  
AmirHussein Abdolalizadeh ◽  
Mohammadreza Khomeijani-Farahani ◽  
...  

Background: Mild cognitive impairment (MCI) is a state between normal cognition and dementia. However, MCI diagnosis does not necessarily guarantee the progression to dementia. Since no previous study investigated brain positron emission tomography (PET) imaging of MCI-- to-normal reversion, we provided PET imaging of MCI-to-normal reversion using the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. Methods: We applied comprehensive neuropsychological criteria (NP criteria), consisting of mem- ory, language, and attention/executive function domains, to include patients with a baseline diagno- sis of MCI (n=613). According to the criteria, the year 1 status of the patients was categorized into three groups (reversion: n=105, stable MCI: n=422, conversion: n=86). Demographic, neuropsycho- logical, genetic, CSF, and cognition biomarker variables were compared between the groups. Addi- tionally, after adjustment for confounding variables, the deposition pattern of amyloid-β and cere- bral glucose metabolism were compared between three groups via AV45- and FDG-PET modali- ties, respectively. Results: MCI reversion rate was 17.1% during one year of follow-up. The reversion group had the lowest frequency of APOE ε4+ subjects, the highest CSF level of amyloid-β, and the lowest CSF levels of t-tau and p-tau. Neuropsychological assessments were also suggestive of better cognitive performance in the reversion group. Patients with reversion to normal state had higher glucose metabolism in bilateral angular and left middle/inferior temporal gyri, when compared to those with stable MCI state. Meanwhile, lower amyloid-β deposition at baseline was observed in the fron- tal and parietal regions of the reverted subjects. On the other hand, the conversion group showed lower cerebral glucose metabolism in bilateral angular and bilateral middle/inferior temporal gyri compared to the stable MCI group, whereas the amyloid-β accumulation was similar between the groups. Conclusions: This longitudinal study provides novel insight regarding the application of PET imag- ing in predicting MCI transition over time.


2020 ◽  
Vol 16 (S6) ◽  
Author(s):  
Seon Young Ryu ◽  
Sang Bong Lee ◽  
Taek Jun Lee ◽  
Yu Jin Jung

2019 ◽  
Vol 22 ◽  
pp. 101795 ◽  
Author(s):  
Manish D. Paranjpe ◽  
Xueqi Chen ◽  
Min Liu ◽  
Ishan Paranjpe ◽  
Jeffrey P. Leal ◽  
...  

2014 ◽  
Vol 62 (7) ◽  
pp. 927-933 ◽  
Author(s):  
Xiaoyan Sun ◽  
David Salat ◽  
Kristen Upchurch ◽  
Rebecca Deason ◽  
Neil Kowall ◽  
...  

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