Association of Brain Magnetic Resonance Imaging Signs With Cognitive Outcomes in Persons With Nonimpaired Cognition and Mild Cognitive Impairment

Wu, Aozhou; Sharrett, A. Richey; Gottesman, Rebecca F.; Power, Melinda C.; Mosley, Thomas H.; Jack, Clifford R.; Knopman, David S.; Windham, B. Gwen; Gross, Alden L.; Coresh, Josef

doi:10.1001/jamanetworkopen.2019.3359

Cited by 54 publications

(55 citation statements)

References 52 publications

(73 reference statements)

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“…The lack of a significant correlation between the cognition score and regional GMV further confirms this point. However, previous studies reported significant risk factors for dementia, including lower volumes of the hippocampus (35), entorhinal cortex, and surrounding structures (36). Their findings seemed to differ from our results.…”

Section: Discussioncontrasting

confidence: 99%

Associations between brain volumetry and relaxometry signatures and the Edmonton Frail Scale in frailty

Li¹,

Chen²,

Wu³

et al. 2021

Quant Imaging Med Surg

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Background: Frailty is a geriatric condition characterized by a decreased reserve. The Edmonton frailty scale (EFS) has been widely used as an assessment tool in clinical practice. However, the brain's underlying pathophysiological changes in frailty and their associations with the EFS remain unclear. This study aimed to explore the associations between brain volumetry and relaxometry signatures and the EFS (and each domain score of the EFS) in frailty.Methods: A total of 40 non-demented subjects were enrolled in this prospective study. Frailty assessment was performed for each subject according to the EFS. All subjects underwent synthetic magnetic resonance imaging (MRI) (MAGnetic resonance image Compilation, MAGiC) and three-dimensional fast spoiled gradient-recalled echo (3D-FSPGR) T1-weighted structural image acquisitions on a 3.0 T MR scanner.Brain segmentation was performed based on quantitative values obtained from the MAGiC and 3D-FSPGR images. Volumetry and relaxometry of the global brain and regional gray matter (GM) were also obtained.The associations between the total EFS score (and the score of each domain) and the brain's volumetry and relaxometry were investigated by partial correlation while eliminating the effects of age. Multiple comparisons of regional GM volumetry and relaxometry analyses were controlled by false discovery rate (FDR) correction. All data were analyzed using the SPSS 13.0 statistical package (IBM, Armonk, NY, USA) and MATLAB (MathWorks, Natick, MA, USA).Results: For global volumetry, significant correlations were found between multiple global volumetry parameters and the EFS, as well as the cognition score, functional independence score, nutrition score, and functional performance score (P<0.05). For global relaxometry, notable positive correlations were found between the T2 values of gray and white matter (WM) and the EFS (r=0.357, P=0.026; r=0.357, P=0.026, respectively). Significant correlations were also identified between the T2 value of GM, the T1, T2, and

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Section: Discussioncontrasting

confidence: 99%

Associations between brain volumetry and relaxometry signatures and the Edmonton Frail Scale in frailty

Li¹,

Chen²,

Wu³

et al. 2021

Quant Imaging Med Surg

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“…A cohort with 35,791 participants that were followed up for 13 years showed that individuals with depression had a higher risk of dementia, and that, furthermore, depression had a more significant effect on participants with incident stroke or newly diagnosed hypertension, which indicated that targeting vascular disorders might lower dementia risk (Köhler et al, 2015). Magnetic resonance imaging (MRI) signs are independent risk factors for dementia and MCI; in a cohort study of 1,553 participants, vascular changes (subcortical microhemorrhages and infarcts) were more important in the development of MCI than in its progression to dementia, while AD signature region volume was important in both stages (Wu et al, 2019).…”

Section: Patients With Depression Have Higher Conversion Rates Tomentioning

confidence: 99%

Depression, Anxiety, and Apathy in Mild Cognitive Impairment: Current Perspectives

2020

Front. Aging Neurosci.

187

157

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Objective: Mild cognitive impairment (MCI) is an important risk state for dementia, particularly Alzheimer's disease (AD). Depression, anxiety, and apathy are commonly observed neuropsychiatric features in MCI, which have been linked to cognitive and functional decline in daily activities, as well as disease progression. Accordingly, the study's objective is to review the prevalence, neuropsychological characteristics, and conversion rates to dementia between MCI patients with and without depression, anxiety, and apathy.Methods: A PubMed search and critical review were performed relating to studies of MCI, depression, anxiety, and apathy.Results: MCI patients have a high prevalence of depression/anxiety/apathy; furthermore, patients with MCI and concomitant depression/anxiety/apathy have more pronounced cognitive deficits and progress more often to dementia than MCI patients without depression/anxiety/apathy. Conclusions and Implications: Depression, anxiety, and apathy are common in MCI and represent possible risk factors for cognitive decline and progression to dementia. Further studies are needed to better understand the role and neurobiology of depression, anxiety, and apathy in MCI.

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“…Older age, poor er cognition, APOE ε4 allele carrier status, and hyper tension are found to increase the conversion rate to de mentia [15]. The use of various MRI and PET methods and cerebrospinal fluid (CSF) examination, measuring concentrations of amyloidβ, phosphorylated and total tau proteins, as well as other proteins, including inflam matory markers, have shown to be helpful in predicting patients with MCI and SCD who will convert to demen tia, especially to AD [16][17][18][19][20][21][22]. A recent Cochrane review, however, does not support the use of βamyloid PET as biomarker for AD, but studies examining the combina tion of cognitive tests with CSF proteins, MRI, and FDGPET have shown excellent results in identifying people with MCI that would convert to dementia [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

The Power of EEG to Predict Conversion from Mild Cognitive Impairment and Subjective Cognitive Decline to Dementia

Engedal

Barca

Høgh

et al. 2020

Dement Geriatr Cogn Disord

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Introduction: The aim of this study was to examine if quantitative electroencephalography (qEEG) using the statistical pattern recognition (SPR) method could predict conversion to dementia in patients with subjective cognitive decline (SCD) and mild cognitive impairment (MCI). Methods: From 5 Nordic memory clinics, we included 47 SCD patients, 99 MCI patients, and 67 healthy controls. EEGs analyzed with the SPR method together with clinical data recorded at baseline were evaluated. The patients were followed up for a mean of 62.5 (SD 17.6) months and reexamined. Results: Of 200 participants with valid clinical information, 70 had converted to dementia, and 52 had developed Alzheimer's disease. Receiver-operating characteristic analysis of the EEG results as defined by a dementia index (DI) ranging from 0 to 100 revealed that the area under the curve was 0.78 (95% CI 0.70-0.85), corresponding to a sensitivity of 71%, specificity of 69%, and accuracy of 69%. A logistic regression analysis showed that by adding results of a cognitive test at baseline to the EEG DI, accuracy could improve. Conclusion: We conclude that applying qEEG using the automated SPR method can be helpful in identifying patients with SCD and MCI that have a high risk of converting to dementia over a 5-year period. As the discriminant power of the method is of moderate degree, it should be used in addition to routine diagnostic methods.

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Association of Brain Magnetic Resonance Imaging Signs With Cognitive Outcomes in Persons With Nonimpaired Cognition and Mild Cognitive Impairment

Cited by 54 publications

References 52 publications

Associations between brain volumetry and relaxometry signatures and the Edmonton Frail Scale in frailty

Associations between brain volumetry and relaxometry signatures and the Edmonton Frail Scale in frailty

Depression, Anxiety, and Apathy in Mild Cognitive Impairment: Current Perspectives

The Power of EEG to Predict Conversion from Mild Cognitive Impairment and Subjective Cognitive Decline to Dementia

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