scholarly journals Structural Neuroimaging in the Detection and Prognosis of Pre-Clinical and Early AD

2009 ◽  
Vol 21 (1-2) ◽  
pp. 3-12 ◽  
Author(s):  
Christine Fennema-Notestine ◽  
Linda K. McEvoy ◽  
Donald J. Hagler ◽  
Mark W. Jacobson ◽  
Anders M. Dale ◽  
...  
Keyword(s):  
At Risk ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Structural Change ◽  
Structural Mri ◽  
Cross Sectional ◽  
Structural Neuroimaging ◽  
Clinical Assessments ◽  
Structural Loss ◽  
Normal Controls

Current research supports the strong potential of structural MRI profiles, even within cross-sectional designs, as a promising method for the discrimination of Alzheimer's Disease (AD) from normal controls and for the prediction of Mild Cognitive Impairment (MCI) progression and conversion to AD. Findings suggest that measures of structural change in mesial and lateral temporal, cingulate, parietal and midfrontal areas may facilitate the assessment of a treatment's ability to halt the progressive structural loss that accompanies clinical decline in MCI. The performance of prediction is likely to continue to improve with the incorporation of measures from other neuroimaging modalities, clinical assessments, and neuromedical biomarkers, as the regional profile of individuals at risk for progression is refined.

De novo genesis of neuropsychiatric symptoms in Mild Cognitive Impairment (MCI)

2004 ◽  
Vol 16 (1) ◽  
pp. 51-60 ◽  
Author(s):  
Yonas E. Geda ◽  
Glenn E. Smith ◽  
David S. Knopman ◽  
Bradley F. Boeve ◽  
Eric G. Tangalos ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Rating Scale ◽  
De Novo ◽  
Psychiatric Symptoms ◽  
Neuropsychiatric Symptoms ◽  
Cross Sectional ◽  
Neuropsychological Profile ◽  
Pair Wise Comparison ◽  
Normal Controls

Background: There is inadequate information regarding the neuropsychiatric aspect of Mild Cognitive Impairment (MCI).Objective: To determine the neuropsychiatric profile of MCI, and compare this with normal controls and patients with mild Alzheimer's Disease (AD).Design: Cross-sectional assessment of psychiatric symptoms in subjects that are enrolled in Mayo Clinic's longitudinal study of normal aging, MCI and dementia.Methods and Participants: The Neuropsychiatric Inventory (NPI) was administered to normal control subjects, MCI subjects and patients with early AD. Individual NPI domain scores and total NPI scores were compared among the three groups after controlling for age, educational status, Dementia Rating Scale (DRS) and Mini-Mental State Examination (MMSE) scores. Statistical analysis was performed by utilizing ANOVA, χ2 and Fisher's exact test.Results: Data were analyzed on 514 normal controls, 54 MCI subjects, and 87 subjects with mild AD (CDR of 0.5 or 1); females consisted of 60.3%, 53.7% and 57.5%; and, the average ages (SD) were 77.8 (1.95), 79 (4.6), 80.5 (14.6) respectively. ANOVA pair-wise comparison revealed that both MMSE and DRS differences among the three groups were significantly different at (p=0.05). The total NPI scores were significantly different (p=0.0001, F=107.93) among the three groups using ANOVA. Pair-wise comparison of individual behavioral domain of NPI showed statistically significant differences between MCI and normals; and MCI and AD (p=0.001). Group differences on NPI remained after controlling for age and education at p=0.0375 and p=0.0050 respectively.Conclusion: The neuropsychiatric pattern is reminiscent of the clinical, neuroimaging and neuropsychological profile of MCI. It gives further credence to the view that MCI is indeed the gray zone, with overlap on both ends of the pole.

Intrusion Errors and Progression of Cognitive Deficits in Older Adults with Mild Cognitive Impairment and PreMCI States

2021 ◽  
pp. 1-8
Author(s):  
Elizabeth A. Crocco ◽  
Rosie Curiel Cid ◽  
Marcela Kitaigorodsky ◽  
Gabriella A. Grau ◽  
Jessica M. Garcia ◽  
...  
Keyword(s):  
Older Adults ◽  
At Risk ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Stress Test ◽  
Cognitive Outcomes ◽  
Semantic Interference ◽  
Cross Sectional ◽  
Cognitive Stress ◽  
Intrusion Errors

<b><i>Introduction:</i></b> Among persons with amnestic mild cognitive impairment (aMCI), intrusion errors on subscales that measure proactive semantic interference (PSI) may be among the earliest behavioral markers of elevated Alzheimer’s disease brain pathology. While there has been considerable cross-sectional work in the area, it is presently unknown whether semantic intrusion errors are predictive of progression of cognitive impairment in aMCI or PreMCI (not cognitively normal but not meeting full criteria for MCI). <b><i>Methods:</i></b> This study examined the extent to which the percentage of semantic intrusion errors (PIE) based on total responses on a novel cognitive stress test, the Loewenstein-Acevedo Scales for Semantic Interference and Learning (LASSI-L), could predict clinical/cognitive outcomes over an average 26-month period in older adults initially diagnosed with aMCI, PreMCI, and normal cognition. <b><i>Results:</i></b> On the LASSI-L subscale sensitive to PSI, a PIE cut point of 44% intrusion errors distinguished between those at-risk individuals with PreMCI who progressed to MCI over time compared to individuals with PreMCI who reverted to normal on longitudinal follow-up. Importantly, PIE was able to accurately predict 83.3% of aMCI individuals who later progressed to dementia. <b><i>Discussion:</i></b> These preliminary findings indicate that PIE on LASSI-L subscales that measure PSI may be a useful predictor of clinical progression overtime in at-risk older adults.

scholarly journals 317 - Behavioural markers of mild cognitive impairment: diagnostic value of eye-tracking study

2020 ◽  
Vol 32 (S1) ◽  
pp. 75-75
Author(s):  
Negin Chehrehnegar ◽  
Mahshid Foroughan ◽  
Mahdieh Esmaeili ◽  
Mary Rudner
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Eye Tracking ◽  
Diagnostic Value ◽  
Error Rates ◽  
Control Group ◽  
Cross Sectional ◽  
Memory Impairments ◽  
Saccade Task ◽  
Normal Controls

Background:Early diagnosis of mild cognitive impairment is important in Alzheimer's disease management before brain damage is profoundly established and irreversible. Eye-tracking technology is a sensitive method to measure cognitive impairments in dementia and MCI. We examined the saccade movement deficits in amnestic MCI and compared them with the normal controls and Alzheimer to define early cognitive markers in MCI.Method:This study was a cross-sectional observational study. Twenty-one patients with AD, 40 patients with aMCI, and 59 normal participants were examined by eye tracking using anti-saccade task and pro-saccade task with ‘gap’ and ‘overlap’ procedures.Results:Patients with Alzheimer's made more errors, and corrected fewer errors than a-MCI and age-matched controls. Moreover, a-MCI had higher error rates in the prosaccade gap and overlap (38±1.5, p≤ 0.001; 21± 1.8, p≤ 0.001) and antisaccade gap and overlap (64± 1.4, p≤ 0.001; 45± 1.6, p≤ 0.001) than normal controls. Compared with the control group, a-MCI also showed more uncorrected responses in the prosaccade gap (6± 0.5, p≤ 0.001) and antisaccade gap and overlap (13± 0.4, p≤ 0.001; 10± 0.7, p≤ 0.001). Saccade Omission also revealed significant differences between normal controls and amnestic mild cognitive impairment in prosaccade (p≤ 0.001) and antisaccade (p≤ 0.001) tasks, in both gap and overlap paradigms.Conclusion:Error proportion, target omission and uncorrected saccades impairments in a- a-MCI, support the concept of executive function deterioration, as an early marker of neurocognitive disorder. Our findings also confirm inhibitory and working memory impairments t in a-MCI.

Association of Circulating Cholesterol Level with Cognitive Function and Mild Cognitive Impairment in the Elderly: A Community-based Population Study

2020 ◽  
Vol 17 (6) ◽  
pp. 556-565
Author(s):  
Yujie Guo ◽  
Pengfei Li ◽  
Xiaojun Ma ◽  
Xiaochen Huang ◽  
Zhuoheng Liu ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Function ◽  
Cholesterol Level ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Cross Sectional ◽  
Increased Risk ◽  
Aging Adults ◽  
Female Subjects

Background: The present study was designed to examine the association of circulating cholesterol with cognitive function in non-demented community aging adults. Methods: This was a cross-sectional study including 1754 Chinese adults aged 55-80 years. The association between serum cholesterol levels and cognitive function was examined. Participants were categorized into four groups according to the quartile of circulating TC (total cholesterol), High Density Lipoprotein Cholesterol (HDL-c), Low Density Lipoprotein Cholesterol (LDL-c) levels and HDLc/ LDL-c ratio. The difference in cognitive performance among the groups was compared. Logistic regression model was used to determine the association of circulating cholesterol level with the risk of Mild Cognitive Impairment (MCI). Results: Mild increase of serum LDL-c level correlated with better visual and executive, language, memory and delayed recall abilities. Higher circulating TC and HDL-c levels were found to be associated with poorer cognitive function, especially in aging female subjects. Higher circulating TC, HDL-c and HDL/LDL ratio indicated an increased risk of MCI, especially in female subjects. Conclusion: Slight increase in circulating LDL-c level might benefit cognitive function in aging adults. However, higher circulating TC and HDL-c levels might indicate a decline of cognitive function, especially in aging female subjects.

Subjective Spatial Navigation Complaints - A Frequent Symptom Reported by Patients with Subjective Cognitive Decline, Mild Cognitive Impairment and Alzheimer's Disease

2018 ◽  
Vol 15 (3) ◽  
pp. 219-228 ◽  
Author(s):  
Jiri Cerman ◽  
Ross Andel ◽  
Jan Laczo ◽  
Martin Vyhnalek ◽  
Zuzana Nedelska ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Decline ◽  
Spatial Navigation ◽  
Subjective Cognitive Decline ◽  
Great Effort ◽  
Frequent Symptom ◽  
Normal Controls

Background: Great effort has been put into developing simple and feasible tools capable to detect Alzheimer's disease (AD) in its early clinical stage. Spatial navigation impairment occurs very early in AD and is detectable even in the stage of mild cognitive impairment (MCI). Objective: The aim was to describe the frequency of self-reported spatial navigation complaints in patients with subjective cognitive decline (SCD), amnestic and non-amnestic MCI (aMCI, naMCI) and AD dementia and to assess whether a simple questionnaire based on these complaints may be used to detect early AD. Method: In total 184 subjects: patients with aMCI (n=61), naMCI (n=27), SCD (n=63), dementia due to AD (n=20) and normal controls (n=13) were recruited. The subjects underwent neuropsychological examination and were administered a questionnaire addressing spatial navigation complaints. Responses to the 15 items questionnaire were scaled into four categories (no, minor, moderate and major complaints). Results: 55% of patients with aMCI, 64% with naMCI, 68% with SCD and 72% with AD complained about their spatial navigation. 38-61% of these complaints were moderate or major. Only 33% normal controls expressed complaints and none was ranked as moderate or major. The SCD, aMCI and AD dementia patients were more likely to express complaints than normal controls (p's<0.050) after adjusting for age, education, sex, depressive symptoms (OR for SCD=4.00, aMCI=3.90, AD dementia=7.02) or anxiety (OR for SCD=3.59, aMCI=3.64, AD dementia=6.41). Conclusion: Spatial navigation complaints are a frequent symptom not only in AD, but also in SCD and aMCI and can potentially be detected by a simple and inexpensive questionnaire.

scholarly journals Predicting amyloid positivity in patients with mild cognitive impairment using a radiomics approach

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jun Pyo Kim ◽  
Jonghoon Kim ◽  
Hyemin Jang ◽  
Jaeho Kim ◽  
Sung Hoon Kang ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Apoe Genotype ◽  
Texture Features ◽  
Structural Mri ◽  
Regularized Regression ◽  
Mr Images ◽  
Baseline Model ◽  
Imaging Model ◽  
T1 And T2

AbstractPredicting amyloid positivity in patients with mild cognitive impairment (MCI) is crucial. In the present study, we predicted amyloid positivity with structural MRI using a radiomics approach. From MR images (including T1, T2 FLAIR, and DTI sequences) of 440 MCI patients, we extracted radiomics features composed of histogram and texture features. These features were used alone or in combination with baseline non-imaging predictors such as age, sex, and ApoE genotype to predict amyloid positivity. We used a regularized regression method for feature selection and prediction. The performance of the baseline non-imaging model was at a fair level (AUC = 0.71). Among single MR-sequence models, T1 and T2 FLAIR radiomics models also showed fair performances (AUC for test = 0.71–0.74, AUC for validation = 0.68–0.70) in predicting amyloid positivity. When T1 and T2 FLAIR radiomics features were combined, the AUC for test was 0.75 and AUC for validation was 0.72 (p vs. baseline model < 0.001). The model performed best when baseline features were combined with a T1 and T2 FLAIR radiomics model (AUC for test = 0.79, AUC for validation = 0.76), which was significantly better than those of the baseline model (p < 0.001) and the T1 + T2 FLAIR radiomics model (p < 0.001). In conclusion, radiomics features showed predictive value for amyloid positivity. It can be used in combination with other predictive features and possibly improve the prediction performance.

scholarly journals Multimodal measurement approach to identify individuals with mild cognitive impairment: study protocol for a cross-sectional trial

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e046879
Author(s):  
Bernhard Grässler ◽  
Fabian Herold ◽  
Milos Dordevic ◽  
Tariq Ali Gujar ◽  
Sabine Darius ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Statistical Analysis ◽  
Cognitive Decline ◽  
Cognitive Performance ◽  
Classification Accuracy ◽  
Multimodal Approach ◽  
Cross Sectional ◽  
Age Related ◽  
Age Related Cognitive Decline

IntroductionThe diagnosis of mild cognitive impairment (MCI), that is, the transitory phase between normal age-related cognitive decline and dementia, remains a challenging task. It was observed that a multimodal approach (simultaneous analysis of several complementary modalities) can improve the classification accuracy. We will combine three noninvasive measurement modalities: functional near-infrared spectroscopy (fNIRS), electroencephalography and heart rate variability via ECG. Our aim is to explore neurophysiological correlates of cognitive performance and whether our multimodal approach can aid in early identification of individuals with MCI.Methods and analysisThis study will be a cross-sectional with patients with MCI and healthy controls (HC). The neurophysiological signals will be measured during rest and while performing cognitive tasks: (1) Stroop, (2) N-back and (3) verbal fluency test (VFT). Main aims of statistical analysis are to (1) determine the differences in neurophysiological responses of HC and MCI, (2) investigate relationships between measures of cognitive performance and neurophysiological responses and (3) investigate whether the classification accuracy can be improved by using our multimodal approach. To meet these targets, statistical analysis will include machine learning approaches.This is, to the best of our knowledge, the first study that applies simultaneously these three modalities in MCI and HC. We hypothesise that the multimodal approach improves the classification accuracy between HC and MCI as compared with a unimodal approach. If our hypothesis is verified, this study paves the way for additional research on multimodal approaches for dementia research and fosters the exploration of new biomarkers for an early detection of nonphysiological age-related cognitive decline.Ethics and disseminationEthics approval was obtained from the local Ethics Committee (reference: 83/19). Data will be shared with the scientific community no more than 1 year following completion of study and data assembly.Trial registration numberClinicalTrials.gov, NCT04427436, registered on 10 June 2020, https://clinicaltrials.gov/ct2/show/study/NCT04427436.

scholarly journals A comparison of resting state EEG and structural MRI for classifying Alzheimer’s disease and mild cognitive impairment

NeuroImage ◽  
2020 ◽  
Vol 215 ◽  
pp. 116795 ◽  
Author(s):  
F.R. Farina ◽  
D.D. Emek-Savaş ◽  
L. Rueda-Delgado ◽  
R. Boyle ◽  
H. Kiiski ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Resting State ◽  
Structural Mri
Sign in / Sign up

Export Citation Format

Share Document