Literature DB >> 26444348

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

Mengxi Zhou, Feng Zhang, Li Zhao, Jin Qian, Chunbo Dong.   

Abstract

Entorhinal 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.

Entities:  

Mesh:

Year:  2016        PMID: 26444348     DOI: 10.1515/revneuro-2015-0019

Source DB:  PubMed          Journal:  Rev Neurosci        ISSN: 0334-1763            Impact factor:   4.353


  21 in total

1.  Differentiating Between Healthy Control Participants and Those with Mild Cognitive Impairment Using Volumetric MRI Data.

Authors:  Renée DeVivo; Lauren Zajac; Asim Mian; Anna Cervantes-Arslanian; Eric Steinberg; Michael L Alosco; Jesse Mez; Robert Stern; Ronald Killany
Journal:  J Int Neuropsychol Soc       Date:  2019-05-27       Impact factor: 2.892

2.  A multivariate model of time to conversion from mild cognitive impairment to Alzheimer's disease.

Authors:  María Eugenia López; Agustín Turrero; Pablo Cuesta; Inmaculada Concepción Rodríguez-Rojo; Ana Barabash; Alberto Marcos; Fernando Maestú; Alberto Fernández
Journal:  Geroscience       Date:  2020-09-04       Impact factor: 7.713

3.  Detecting Biomarkers of Alzheimer's Disease Based on Multi-constrained Uncertainty-Aware Adaptive Sparse Multi-view Canonical Correlation Analysis.

Authors:  Wenbo Wang; Wei Kong; Shuaiqun Wang; Kai Wei
Journal:  J Mol Neurosci       Date:  2022-01-26       Impact factor: 3.444

4.  Brain structural alterations detected by an automatic quantified tool as an indicator for MCI diagnosing in type 2 diabetes mellitus patients: A magnetic resonance imaging study.

Authors:  Jing Gu; Siyuan Cui; Huihui Qi; Jing Li; Wenjuan Wu; Silun Wang; Jianming Ni; Zengli Miao
Journal:  Heliyon       Date:  2022-05-12

5.  Continuous measurement of object location memory is sensitive to effects of age and mild cognitive impairment and related to medial temporal lobe volume.

Authors:  Benjamin M Hampstead; Stephen Towler; Anthony Y Stringer; Krishnankutty Sathian
Journal:  Alzheimers Dement (Amst)       Date:  2017-11-11

6.  Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states.

Authors:  Ines Mahjoub; Mohamed Ali Mahjoub; Islem Rekik
Journal:  Sci Rep       Date:  2018-03-07       Impact factor: 4.379

7.  Assessment of Alzheimer's Disease Based on Texture Analysis of the Entorhinal Cortex.

Authors:  Stephanos Leandrou; Demetris Lamnisos; Ioannis Mamais; Panicos A Kyriacou; Constantinos S Pattichis
Journal:  Front Aging Neurosci       Date:  2020-07-02       Impact factor: 5.750

8.  Cerebrospinal fluid neurogranin/β-site APP-cleaving enzyme 1 predicts cognitive decline in preclinical Alzheimer's disease.

Authors:  Bjørn-Eivind Kirsebom; Kaja Nordengen; Per Selnes; Knut Waterloo; Silje Bøen Torsetnes; Berglind Gísladóttir; Britta Brix; Eugeen Vanmechelen; Geir Bråthen; Erik Hessen; Dag Aarsland; Tormod Fladby
Journal:  Alzheimers Dement (N Y)       Date:  2018-11-10

9.  Bioinformatics analysis of differentially expressed genes and identification of an miRNA-mRNA network associated with entorhinal cortex and hippocampus in Alzheimer's disease.

Authors:  Haoming Li; Linqing Zou; Jinhong Shi; Xiao Han
Journal:  Hereditas       Date:  2021-07-09       Impact factor: 3.271

10.  Biological Factors Contributing to the Response to Cognitive Training in Mild Cognitive Impairment.

Authors:  Jessica Peter; Lena V Schumacher; Verena Landerer; Ahmed Abdulkadir; Christoph P Kaller; Jacob Lahr; Stefan Klöppel
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

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