scholarly journals Topological Properties of Large-Scale Cortical Networks Based on Multiple Morphological Features in Amnestic Mild Cognitive Impairment

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Qiongling Li ◽  
Xinwei Li ◽  
Xuetong Wang ◽  
Yuxia Li ◽  
Kuncheng Li ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cortical Thickness ◽  
Large Scale ◽  
Amnestic Mild Cognitive Impairment ◽  
Geometric Features ◽  
Topological Properties ◽  
Cortical Networks ◽  
Normal Controls ◽  
Sulcal Depth

Previous studies have demonstrated that amnestic mild cognitive impairment (aMCI) has disrupted properties of large-scale cortical networks based on cortical thickness and gray matter volume. However, it is largely unknown whether the topological properties of cortical networks based on geometric measures (i.e., sulcal depth, curvature, and metric distortion) change in aMCI patients compared with normal controls because these geometric features of cerebral cortex may be related to its intrinsic connectivity. Here, we compare properties in cortical networks constructed by six different morphological features in 36 aMCI participants and 36 normal controls. Six cortical features (3 volumetric and 3 geometric features) were extracted for each participant, and brain abnormities in aMCI were identified by cortical network based on graph theory method. All the cortical networks showed small-world properties. Regions showing significant differences mainly located in the medial temporal lobe and supramarginal and right inferior parietal lobe. In addition, we also found that the cortical networks constructed by cortical thickness and sulcal depth showed significant differences between the two groups. Our results indicated that geometric measure (i.e., sulcal depth) can be used to construct network to discriminate individuals with aMCI from controls besides volumetric measures.

Cortical thickness in single- versus multiple-domain amnestic mild cognitive impairment

NeuroImage ◽  
2007 ◽  
Vol 36 (2) ◽  
pp. 289-297 ◽  
Author(s):  
Sang Won Seo ◽  
Kiho Im ◽  
Jong-Min Lee ◽  
Yun-Hee Kim ◽  
Sung Tae Kim ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cortical Thickness ◽  
Amnestic Mild Cognitive Impairment ◽  
Single Versus ◽  
Multiple Domain

scholarly journals Distinct Subgroups of Amnestic Mild Cognitive Impairment as Identified by Soft Independent Modeling of Class Analogy

2019 ◽  
Author(s):  
Sookjaroen Tangwongchai ◽  
Itthipol Tawankanjanachot ◽  
Chavit Tunvirachaisakul ◽  
Thitiporn Supasitthumrong ◽  
Solaphat Hemrungrojn ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Neuropsychological Tests ◽  
Diagnostic Category ◽  
Principal Component ◽  
Amnestic Mild Cognitive Impairment ◽  
Cognitive Profile ◽  
Support Vector ◽  
Patients At Risk ◽  
Normal Controls

Amnestic mild cognitive impairment (aMCI) is a condition characterized by mild deficits in episodic and semantic memory and learning. The conversion rate of aMCI to Alzheimer disease (AD) is significantly higher in aMCI than in the general population. The aim of this study is to examine whether aMCI is a valid diagnostic category or whether aMCI comprises different subgroups based on cognitive functions. We recruited 60 aMCI patients, 60 with AD and 61 healthy controls who completed neuropsychological tests of the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD-NP) and biomarkers including serum anion gap (AGAP). Principal component analysis, support vector machine and Soft Independent Modeling of Class Analogy (SIMCA) showed that AD patients and controls were highly significantly discrimanted from each other, while patients with aMCI overlap considerably with normal controls. SIMCA showed that 68.3% of the aMCI patients were assigned to the control class (named: aMCI-HC), 15% to AD (aMCI-AD), while 16.6% did not belong to either class (aMCI-strangers). aMCI-HC subjects showed sings of very mild cognitive decline and impaired recall. aMCI-strangers showed signs of mild cognitive impairment with impaired fluency and naming. aMCI-AD cases showed a cognitive profile reminiscent of AD an increased AGAP levels. In conclusion, our SIMCA model may classify subjects afforded a clinical diagnosis of aMCI according to Petersen’s criteria into three clinically relevant subgroups and help in the early detection of AD by identifying aMCI patients at risk to develop AD and those that have an AD prodrome.

Reduced Thickness of the Anterior Cingulate Cortex as a Predictor of Amnestic-Mild Cognitive Impairment Conversion to Alzheimer’s Disease with Psychosis

2021 ◽  
pp. 1-9
Author(s):  
Hee-Jeong Jeong ◽  
Young-Min Lee ◽  
Je-Min Park ◽  
Byung-Dae Lee ◽  
Eunsoo Moon ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cortical Thickness ◽  
Cingulate Cortex ◽  
Amnestic Mild Cognitive Impairment ◽  
Anterior Cingulate ◽  
Prospective Longitudinal Study ◽  
Prospective Longitudinal

Background: A long-term follow-up study in patients with amnestic mild cognitive impairment (aMCI) is needed to elucidate the association between regional brain volume and psychopathological mechanisms of Alzheimer’s disease with psychosis (AD + P). Objective: The purpose of this study was to investigate the effect of the thickness of the angular cingulate cortex (ACC) on the risk of AD + P conversion in patients with aMCI. Methods: This was a hospital-based prospective longitudinal study including 174 patients with aMCI. The main outcome measure was time-to-progression from aMCI to AD + P. Subregions of the ACC (rostral ACC, rACC; caudal ACC, cACC) and hippocampus (HC) were measured as regions of interest with magnetic resonance imaging and the Freesurfer analysis at baseline. Survival analysis with time to incident AD + P as an event variable was calculated with Cox proportional hazards models using the subregions of the ACC and HC as a continuous variable. Results: Cox proportional hazard analyses showed that the risk of AD + P was associated with sub-regional ACC thickness but not HC volume: reduced cortical thickness of the left cACC (HR [95%CI], 0.224 [0.087–0.575], p = 0.002), right cACC (HR [95%CI], 0.318 [0.132–0.768], p = 0.011). This association of the cACC with the risk of AD also remained significant when adjusted for HC volume. Conclusion: We found that reduced cortical thickness of the cACC is a predictor of aMCI conversion to AD + P, independent of HC, suggesting that the ACC plays a vital role in the underlying pathogenesis of AD + P.

scholarly journals The Sub-Classification of Amnestic Mild Cognitive Impairment Using MRI-Based Cortical Thickness Measures

2014 ◽  
Vol 5 ◽  
Author(s):  
Pradeep Reddy Raamana ◽  
Wei Wen ◽  
Nicole A. Kochan ◽  
Henry Brodaty ◽  
Perminder S. Sachdev ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cortical Thickness ◽  
Amnestic Mild Cognitive Impairment

scholarly journals A Longitudinal Study of Atrophy in Amnestic Mild Cognitive Impairment and Normal Aging Revealed by Cortical Thickness

PLoS ONE ◽  
2012 ◽  
Vol 7 (11) ◽  
pp. e48973 ◽  
Author(s):  
Zhijun Yao ◽  
Bin Hu ◽  
Chuanjiang Liang ◽  
Lina Zhao ◽  
Mike Jackson ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Longitudinal Study ◽  
Cortical Thickness ◽  
Normal Aging ◽  
Amnestic Mild Cognitive Impairment

Does tip-of-the-tongue for proper names discriminate amnestic mild cognitive impairment?

2012 ◽  
Vol 25 (4) ◽  
pp. 627-634 ◽  
Author(s):  
Onésimo Juncos-Rabadán ◽  
David Facal ◽  
Cristina Lojo-Seoane ◽  
Arturo X. Pereiro
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Verbal Fluency ◽  
Multivariate Regression ◽  
Proper Names ◽  
Naming Task ◽  
Amnestic Mild Cognitive Impairment ◽  
Regression Analyses ◽  
Tip Of The Tongue ◽  
Normal Controls

ABSTRACTBackground: Difficulty in retrieving people's names is very common in the early stages of Alzheimer's disease and mild cognitive impairment. Such difficulty is often observed as the tip-of-the-tongue (TOT) phenomenon. The main aim of this study was to explore whether a famous people's naming task that elicited the TOT state can be used to discriminate between amnestic mild cognitive impairment (aMCI) patients and normal controls.Methods: Eighty-four patients with aMCI and 106 normal controls aged over 50 years performed a task involving naming 50 famous people shown in pictures. Univariate and multivariate regression analyses were used to study the relationships between aMCI and semantic and phonological measures in the TOT paradigm.Results: Univariate regression analyses revealed that all TOT measures significantly predicted aMCI. Multivariate analysis of all these measures correctly classified 70% of controls (specificity) and 71.6% of aMCI patients (sensitivity), with an AUC (area under curve ROC) value of 0.74, but only the phonological measure remained significant. This classification value was similar to that obtained with the Semantic verbal fluency test.Conclusions: TOTs for proper names may effectively discriminate aMCI patients from normal controls through measures that represent one of the naming processes affected, that is, phonological access.

scholarly journals Study of brain morphology change in Alzheimer’s disease and amnestic mild cognitive impairment compared with normal controls

2019 ◽  
Vol 32 (2) ◽  
pp. e100005 ◽  
Author(s):  
Huanqing Yang ◽  
Hua Xu ◽  
Qingfeng Li ◽  
Yan Jin ◽  
Weixiong Jiang ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Surface Area ◽  
Cortical Thickness ◽  
Right Hemisphere ◽  
Brain Regions ◽  
Left And Right ◽  
Normal Controls

BackgroundWith an aggravated social ageing level, the number of patients with Alzheimer’s disease (AD) is gradually increasing, and mild cognitive impairment (MCI) is considered to be an early form of Alzheimer’s disease. How to distinguish diseases in the early stage for the purposes of early diagnosis and treatment is an important topic.AimsThe purpose of our study was to investigate the differences in brain cortical thickness and surface area among elderly patients with AD, elderly patients with amnestic MCI (aMCI) and normal controls (NC).Methods20 AD patients, 21 aMCIs and 25 NC were recruited in the study. FreeSurfer software was used to calculate cortical thickness and surface area among groups.ResultsThe patients with AD had less cortical thickness both in the left and right hemisphere in 17 of the 36 brain regions examined than the patients with aMCI or NC. The patients with AD also had smaller cerebral surface area both in the left and right hemisphere in 3 of the 36 brain regions examined than the patients with aMCI or NC. Compared with the NC, the patients with aMCI only had slight atrophy in the inferior parietal lobe of the left hemisphere, and no significant difference was found.ConclusionAD, as well as aMCI (to a lesser extent), is associated with reduced cortical thickness and surface area in a few brain regions associated with cognitive impairment. These results suggest that cortical thickness and surface area could be used for early detection of AD.

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