Correlations between atrophy of the entorhinal cortex and cognitive function in patients with <scp>A</scp>lzheimer's disease and mild cognitive impairment

Li, Xudong; Jiao, Jinsong; Shimizu, Satoru; Jibiki, Itsuki; Watanabe, Kenichiro; Kubôta, Takashi

doi:10.1111/pcn.12002

Cited by 22 publications

(27 citation statements)

References 20 publications

(19 reference statements)

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“…Several studies have demonstrated that the volume of EC seems to be more accurate than that of hippocampus for use in discriminating individuals with AD from those with MCI (de Toledo-Morrell et al, 2004;Dickerson et al, 2001;Du et al, 2001;Li et al, 2012;Pennanen et al, 2004;Varon et al, 2011). As summarized in Table 1, almost all of the study results have been similar except for the research of Killiany et al (2002) and Xu et al (2000).…”

Section: Ad Versus MCIsupporting

confidence: 62%

“…Most scholars chose volume measurements to evaluate the degree of atrophy in EC. Studies have found that the volume of EC is significantly reduced in patients in the following order: AD > MCI > control (Du et al, 2001(Du et al, , 2003Killiany et al, 2002;de ToledoMorrell et al, 2004;Pennanen et al, 2004;Li et al, 2012). Compared with the controls, EC was the most severely atrophied among all cortical regions studied, and it provided a high discriminating accuracy (92%) for separating patients with AD from NC subjects .…”

Section: Relationship Between Ec Atrophy and The Severity Of Admentioning

confidence: 86%

“…The main differences between hippocampus and EC in differentiating diseases Li et al (2012). EC is shown to be a particularly useful index to discriminate patients with mild AD from NC -EC is a sensitive predictor of the conversion toAD Li et al (2012) …”

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confidence: 98%

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Entorhinal cortex: a good biomarker of mild cognitive impairment and mild Alzheimer’s disease

Zhou

Zhang

Zhao

et al. 2015

Reviews in the Neurosciences

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AbstractEntorhinal cortex (EC), thought to be the location of the earliest lesions in Alzheimer’s disease (AD), has been widely studied in recent years. With the irreversible pathological changes of AD, there is an urgent need to find biomarkers that can be used to predict the presence of the disease before it is clinically expressed. The aim of this review is to summarize and analyze recent findings that are relevant to the important role of EC in the diagnosis of mild cognitive impairment (MCI) and mild AD and to describe a range of neuroimaging techniques used to define the EC boundary. A comprehensive literature search for articles published up to May 2015 was performed. Our research highlights the finding that atrophy in EC reflects the early pathological changes of AD and can be a strong predictor of prodromal AD. The early changes in EC are a good imaging biomarker that can be used to discriminate individuals with MCI from normal control subjects. A larger degree of atrophy in EC predicts increased disease severity, and the right EC in patients with mild AD exhibited greater changes than the left side. In addition, the EC seems to have an obvious advantage over the hippocampus as a biomarker when predicting future conversion to AD in individuals with MCI, and it may be of help in following the course of disease progression. In this review, we also summarize the main differences observed between the hippocampus and the EC when differentiating diseases. These findings will hopefully provide an opportunity for the effective prevention and early treatment of AD.

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Section: Ad Versus MCIsupporting

confidence: 62%

Section: Relationship Between Ec Atrophy and The Severity Of Admentioning

confidence: 86%

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Entorhinal cortex: a good biomarker of mild cognitive impairment and mild Alzheimer’s disease

Zhou

Zhang

Zhao

et al. 2015

Reviews in the Neurosciences

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“…Atrophy of the entorhinal cortex is more accurate for making this prediction when compared to the hippocampus directly [18]. The nexus between entorhinal cortex pathology and fundamental memory impairment in AD is well established, with memory function negatively correlating with MRI measurement of entorhinal cortex atrophy [19]. …”

Section: Discussionmentioning

confidence: 99%

Differential Functional Connectivity Correlates of Cerebrospinal Fluid Biomarkers in Dementia of the Alzheimer's Type

Malpas

Saling

Velakoulis³

et al. 2015

Neurodegener Dis

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Background: Alzheimer's disease (AD) is characterized by two cardinal pathologies, which have different topological distributions. The differential anatomical distributions of these pathologies raise the possibility that they exert differential effects on brain networks. Objectives: To investigate whether cerebrospinal fluid (CSF) biomarkers of the cardinal pathologies have differential relationships with functional connectivity networks in patients with dementia of the Alzheimer's type (DAT). Methods: Thirty-nine participants underwent CSF sampling and resting-state functional magnetic resonance imaging. Functional connectivity networks were computed for each participant. CSF biomarker levels of p-tau and amyloid-β (Aβ) were regressed onto these networks to identify subnetworks associated with each biomarker. Results: A subnetwork associated with tau-related pathology was identified with its hub in the right anterior entorhinal cortex. A separate subnetwork associated with Aβ with its hub in the right dorsal anterior cingulate cortex was identified. Conclusion: These results demonstrate the differential effects of AD biomarkers on functional connectivity networks, supporting a possible division of labour between the cardinal pathologies.

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“…Traditional VSRAD studies indicate that there are positive correlations between the Z-score and cognitive symptoms, which is consistent with findings of the present study. Previous research also suggests that the parahippocampal atrophy is a particularly useful index for discriminating patients with mild AD from healthy controls and is a sensitive predictor of conversion to AD [15]. It should be noted that previous VBM studies indicate that there is a correlation between AD and late-life depression [16,17].…”

Section: Discussionmentioning

confidence: 98%

Differentiating between Patients with Alzheimer's Disease and Patients with Major Depressive Disorder Using the Voxel-based Specific Regional Aanalysis System for Alzheimer's Disease

Tokumasu¹,

Okajima²,

Takashio³

et al. 2015

Brain Disord Ther

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Background:Recently, voxel-based morphometry (VBM) has become a popular tool for the early diagnosis of Alzheimer's disease (AD). The voxel-based specific regional analysis system for Alzheimer's disease (VSRAD) is a clinically useful VBM technique that employs magnetic resonance imaging (MRI) to automatically detect the loss of Powered by Editorial Manager® and ProduXion Manager® from Aries Systems Corporation gray matter volume in the medial temporal lobe.Objective: To investigate the utility of VSRAD for differentiating between AD and major depressive disorder (MDD), and to identify the neuropathological differences between the two groups. Methods:The subjects included 18 patients with MDD (mean ± standard deviation: 74.8 ± 7.1 years, 4 males and 14 females) and 31 patients with AD (82.4 ± 7.3 years, 7 males and 24 females). Three-dimensional T1-weighted sagittal images, were acquired using a 1.5Tesla MRI device and analyzed using the VSRAD advance software, parahippocampal atrophy was represented as a Z-score. Neuropsychological tests consisted of the Patient Health Questionnaire 9, Hamilton Rating Scale for Depression, Global Assessment of Function and Mini-Mental State Examination (MMSE). Correlations between the Z-score and the neuropsychological test scores were statistically examined.Results: Patients with AD had significantly higher Z-scores than did patients with MDD (1.99 ± 1.27 vs. 1.11 ± 0.49, p < 0.001), and subjects with Z-scores > 2 were all diagnosed as AD. In the AD group, the Z-scores were significantly correlated with the MMSE scores throughout the study period (0 weeks: p=0.015, 24 weeks: p=0.024), whereas no significant correlations between the Z-scores and MMSE were observed for the MDD group. Conclusion: Our results obtained using the VSRAD suggest that VSRAD is useful for differentiating between AD and MDD, which is important, as the these two diseases are often difficult to diagnose based solely on their symptoms. Such findings imply that VSRAD may become a useful auxiliary diagnostic tool.

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Correlations between atrophy of the entorhinal cortex and cognitive function in patients with Alzheimer's disease and mild cognitive impairment

Cited by 22 publications

References 20 publications

Entorhinal cortex: a good biomarker of mild cognitive impairment and mild Alzheimer’s disease

Entorhinal cortex: a good biomarker of mild cognitive impairment and mild Alzheimer’s disease

Differential Functional Connectivity Correlates of Cerebrospinal Fluid Biomarkers in Dementia of the Alzheimer's Type

Differentiating between Patients with Alzheimer's Disease and Patients with Major Depressive Disorder Using the Voxel-based Specific Regional Aanalysis System for Alzheimer's Disease

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