Application of High-Frequency Conductivity Map Using MRI to Evaluate It in the Brain of Alzheimer's Disease Patients

BackgroundThe previous studies reported increased concentrations of metallic ions, imbalanced Na+ and K+ ions, and the increased mobility of protons by microstructural disruptions in Alzheimer's disease (AD).Purpose(1) to apply a high-frequency conductivity (HFC) mapping technique using a clini...

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Main Authors: Soonchan Park, Sue Min Jung, Mun Bae Lee, Hak Young Rhee, Chang-Woo Ryu, Ah Rang Cho, Oh In Kwon, Geon-Ho Jahng
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Neurology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2022.872878/full
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author Soonchan Park
Sue Min Jung
Mun Bae Lee
Hak Young Rhee
Chang-Woo Ryu
Ah Rang Cho
Oh In Kwon
Geon-Ho Jahng
author_facet Soonchan Park
Sue Min Jung
Mun Bae Lee
Hak Young Rhee
Chang-Woo Ryu
Ah Rang Cho
Oh In Kwon
Geon-Ho Jahng
author_sort Soonchan Park
collection DOAJ
description BackgroundThe previous studies reported increased concentrations of metallic ions, imbalanced Na+ and K+ ions, and the increased mobility of protons by microstructural disruptions in Alzheimer's disease (AD).Purpose(1) to apply a high-frequency conductivity (HFC) mapping technique using a clinical 3T MRI system, (2) compare HFC values in the brains of participants with AD, amnestic mild cognitive impairment (MCI), and cognitively normal (CN) elderly people, (3) evaluate the relationship between HFC values and cognitive decline, and (4) explore usefulness of HFC values as an imaging biomarker to evaluate the differentiation of AD from CN.Materials and MethodsThis prospective study included 74 participants (23 AD patients, 27 amnestic MCI patients, and 24 CN elderly people) to explore the clinical application of HFC mapping in the brain from March 2019 to August 2021. We performed statistical analyses to compare HFC maps between the three participant groups, evaluate the association of HFC maps with Mini-Mental State Examination (MMSE) scores, and to evaluate the differentiation between the participant groups for HFC values for some brain areas.ResultsWe obtained a good HFC map non-invasively. The HFC value was higher in the AD group than in the CN and MCI groups. MMSE scores were negatively associated with HFC values. Age was positively associated with HFC values. The HFC value in the insula has a high area under the receiver operating characteristic (ROC) curve (AUC) value to differentiate AD patients from the CN participants (Sensitivity [SE] = 82, Specificity [SP] =97, AUC = 0.902, p < 0.0001), better than gray matter volume (GMV) in hippocampus (SE = 79, SP = 83, AUC = 0.880, p < 0.0001). The classification for differentiating AD from CN was highest by adding the hippocampal GMV to the insular HFC value (SE = 87, SP = 87, AUC = 0.928, p < 0.0001).ConclusionHigh-frequency conductivity values were significantly increased in the AD group compared to the CN group and increased with age and disease severity. HFC values of the insula along with the GMV of the hippocampus can be used as an imaging biomarker to improve the differentiation of AD from CN.
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spelling doaj.art-d04fb0b9d4d6456ea86cce9bbde2e2cd2022-12-22T03:34:17ZengFrontiers Media S.A.Frontiers in Neurology1664-22952022-05-011310.3389/fneur.2022.872878872878Application of High-Frequency Conductivity Map Using MRI to Evaluate It in the Brain of Alzheimer's Disease PatientsSoonchan Park0Sue Min Jung1Mun Bae Lee2Hak Young Rhee3Chang-Woo Ryu4Ah Rang Cho5Oh In Kwon6Geon-Ho Jahng7Department of Radiology, College of Medicine, Kyung Hee University Hospital at Gangdong, Kyung Hee University, Seoul, South KoreaDepartment of Biomedical Engineering, Undergraduate School, College of Electronics and Information, Kyung Hee University, Yongin-si, South KoreaDepartment of Mathematics, College of Basic Science, Konkuk University, Seoul, South KoreaDepartment of Neurology, College of Medicine, Kyung Hee University Hospital at Gangdong, Kyung Hee University, Seoul, South KoreaDepartment of Radiology, College of Medicine, Kyung Hee University Hospital at Gangdong, Kyung Hee University, Seoul, South KoreaDepartment of Psychiatry, College of Medicine, Kyung Hee University Hospital at Gangdong, Kyung Hee University, Seoul, South KoreaDepartment of Mathematics, College of Basic Science, Konkuk University, Seoul, South KoreaDepartment of Radiology, College of Medicine, Kyung Hee University Hospital at Gangdong, Kyung Hee University, Seoul, South KoreaBackgroundThe previous studies reported increased concentrations of metallic ions, imbalanced Na+ and K+ ions, and the increased mobility of protons by microstructural disruptions in Alzheimer's disease (AD).Purpose(1) to apply a high-frequency conductivity (HFC) mapping technique using a clinical 3T MRI system, (2) compare HFC values in the brains of participants with AD, amnestic mild cognitive impairment (MCI), and cognitively normal (CN) elderly people, (3) evaluate the relationship between HFC values and cognitive decline, and (4) explore usefulness of HFC values as an imaging biomarker to evaluate the differentiation of AD from CN.Materials and MethodsThis prospective study included 74 participants (23 AD patients, 27 amnestic MCI patients, and 24 CN elderly people) to explore the clinical application of HFC mapping in the brain from March 2019 to August 2021. We performed statistical analyses to compare HFC maps between the three participant groups, evaluate the association of HFC maps with Mini-Mental State Examination (MMSE) scores, and to evaluate the differentiation between the participant groups for HFC values for some brain areas.ResultsWe obtained a good HFC map non-invasively. The HFC value was higher in the AD group than in the CN and MCI groups. MMSE scores were negatively associated with HFC values. Age was positively associated with HFC values. The HFC value in the insula has a high area under the receiver operating characteristic (ROC) curve (AUC) value to differentiate AD patients from the CN participants (Sensitivity [SE] = 82, Specificity [SP] =97, AUC = 0.902, p < 0.0001), better than gray matter volume (GMV) in hippocampus (SE = 79, SP = 83, AUC = 0.880, p < 0.0001). The classification for differentiating AD from CN was highest by adding the hippocampal GMV to the insular HFC value (SE = 87, SP = 87, AUC = 0.928, p < 0.0001).ConclusionHigh-frequency conductivity values were significantly increased in the AD group compared to the CN group and increased with age and disease severity. HFC values of the insula along with the GMV of the hippocampus can be used as an imaging biomarker to improve the differentiation of AD from CN.https://www.frontiersin.org/articles/10.3389/fneur.2022.872878/fullAlzheimer's diseasegray matter volumeMRIhigh-frequency conductivitybrain
spellingShingle Soonchan Park
Sue Min Jung
Mun Bae Lee
Hak Young Rhee
Chang-Woo Ryu
Ah Rang Cho
Oh In Kwon
Geon-Ho Jahng
Application of High-Frequency Conductivity Map Using MRI to Evaluate It in the Brain of Alzheimer's Disease Patients
Frontiers in Neurology
Alzheimer's disease
gray matter volume
MRI
high-frequency conductivity
brain
title Application of High-Frequency Conductivity Map Using MRI to Evaluate It in the Brain of Alzheimer's Disease Patients
title_full Application of High-Frequency Conductivity Map Using MRI to Evaluate It in the Brain of Alzheimer's Disease Patients
title_fullStr Application of High-Frequency Conductivity Map Using MRI to Evaluate It in the Brain of Alzheimer's Disease Patients
title_full_unstemmed Application of High-Frequency Conductivity Map Using MRI to Evaluate It in the Brain of Alzheimer's Disease Patients
title_short Application of High-Frequency Conductivity Map Using MRI to Evaluate It in the Brain of Alzheimer's Disease Patients
title_sort application of high frequency conductivity map using mri to evaluate it in the brain of alzheimer s disease patients
topic Alzheimer's disease
gray matter volume
MRI
high-frequency conductivity
brain
url https://www.frontiersin.org/articles/10.3389/fneur.2022.872878/full
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