Using functional Magnetic Resonance Imaging to differentiate between Healthy Aging subjects, Mild Cognitive Impairment, and Alzheimer’s Patients
<p align="justify"><strong>Back ground:</strong> Alzheimer's disease is the most common form of dementia which is still difficult to be differentiated from other types of brain disorders. Moreover, Mild Cognitive Impairment refers to the prese...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Medknow Publications
2010-01-01
|
| Series: | Journal of Research in Medical Sciences |
| Subjects: | |
| Online Access: | http://journals.mui.ac.ir/jrms/article/view/3942 |
| _version_ | 1828553826447130624 |
|---|---|
| author | Mohammad Ali Oghabian Seyed Amir Hossein Batouli Maryam Noroozian Maryam Ziaei Hajir Sikaroodi |
| author_facet | Mohammad Ali Oghabian Seyed Amir Hossein Batouli Maryam Noroozian Maryam Ziaei Hajir Sikaroodi |
| author_sort | Mohammad Ali Oghabian |
| collection | DOAJ |
| description | <p align="justify"><strong>Back ground:</strong> Alzheimer's disease is the most common form of dementia which is still difficult to be differentiated from other types of brain disorders. Moreover, Mild Cognitive Impairment refers to the presence of cognitive impairments that is not severe enough to meet the criteria of dementia, and its diagnosis in early stages is so critical. There is currently no distinct method available for diagnosing Alzheimer's or Mild Cognitive Impairment, and their diagnosis needs a combination of different methods and assessments. </p> <p align="justify"><strong>Methods:</strong> Our goal in this study was to evaluate the effectiveness of fMRI imaging in differentiating between Alzheimer's, Mild Cognitive Impairment (MCI) and Healthy Aging. To prove fMRI's ability, we compared resting-state brain activation patterns between these three groups of subjects using Independent Component Algorithm (ICA). We examined 40 age- and sex-matched subjects, 15 elderly, 11 MCI and 14 Alzheimer's subjects. </p> <p align="justify"><strong>Results:</strong> The results show that during a certain resting-state session, healthy aging brain benefits from larger area and greater intensity of activation (compared with MCI and Alzheimer's group) in Posterior Cingulate Cortex (PCC) region of the brain, as part of Default Mode Network. </p> <p align="justify"><strong>Conclusion:</strong> This difference in activation pattern can be used as a diagnostic criterion in using fMRI for differentiating between Alzheimer's disease (AD), MCI and Healthy Aging. </p> <p align="justify"><br /> </p> <p align="justify"><strong>Keywords: </strong>fMRI, Default Mode Network, Alzheimer's, Mild Cognitive Impairment, Resting-State</p> |
| first_indexed | 2024-12-12T05:25:21Z |
| format | Article |
| id | doaj.art-0eb272f8f31144869c426484ac9f67e4 |
| institution | Directory Open Access Journal |
| issn | 1735-1995 1735-7136 |
| language | English |
| last_indexed | 2024-12-12T05:25:21Z |
| publishDate | 2010-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Journal of Research in Medical Sciences |
| spelling | doaj.art-0eb272f8f31144869c426484ac9f67e42022-12-22T00:36:29ZengWolters Kluwer Medknow PublicationsJournal of Research in Medical Sciences1735-19951735-71362010-01-01152Using functional Magnetic Resonance Imaging to differentiate between Healthy Aging subjects, Mild Cognitive Impairment, and Alzheimer’s PatientsMohammad Ali OghabianSeyed Amir Hossein BatouliMaryam NoroozianMaryam ZiaeiHajir Sikaroodi<p align="justify"><strong>Back ground:</strong> Alzheimer's disease is the most common form of dementia which is still difficult to be differentiated from other types of brain disorders. Moreover, Mild Cognitive Impairment refers to the presence of cognitive impairments that is not severe enough to meet the criteria of dementia, and its diagnosis in early stages is so critical. There is currently no distinct method available for diagnosing Alzheimer's or Mild Cognitive Impairment, and their diagnosis needs a combination of different methods and assessments. </p> <p align="justify"><strong>Methods:</strong> Our goal in this study was to evaluate the effectiveness of fMRI imaging in differentiating between Alzheimer's, Mild Cognitive Impairment (MCI) and Healthy Aging. To prove fMRI's ability, we compared resting-state brain activation patterns between these three groups of subjects using Independent Component Algorithm (ICA). We examined 40 age- and sex-matched subjects, 15 elderly, 11 MCI and 14 Alzheimer's subjects. </p> <p align="justify"><strong>Results:</strong> The results show that during a certain resting-state session, healthy aging brain benefits from larger area and greater intensity of activation (compared with MCI and Alzheimer's group) in Posterior Cingulate Cortex (PCC) region of the brain, as part of Default Mode Network. </p> <p align="justify"><strong>Conclusion:</strong> This difference in activation pattern can be used as a diagnostic criterion in using fMRI for differentiating between Alzheimer's disease (AD), MCI and Healthy Aging. </p> <p align="justify"><br /> </p> <p align="justify"><strong>Keywords: </strong>fMRI, Default Mode Network, Alzheimer's, Mild Cognitive Impairment, Resting-State</p>http://journals.mui.ac.ir/jrms/article/view/3942fMRI, Default Mode Network, Alzheimer’s, Mild Cognitive Impairment, Resting-State |
| spellingShingle | Mohammad Ali Oghabian Seyed Amir Hossein Batouli Maryam Noroozian Maryam Ziaei Hajir Sikaroodi Using functional Magnetic Resonance Imaging to differentiate between Healthy Aging subjects, Mild Cognitive Impairment, and Alzheimer’s Patients Journal of Research in Medical Sciences fMRI, Default Mode Network, Alzheimer’s, Mild Cognitive Impairment, Resting-State |
| title | Using functional Magnetic Resonance Imaging to differentiate between Healthy Aging subjects, Mild Cognitive Impairment, and Alzheimer’s Patients |
| title_full | Using functional Magnetic Resonance Imaging to differentiate between Healthy Aging subjects, Mild Cognitive Impairment, and Alzheimer’s Patients |
| title_fullStr | Using functional Magnetic Resonance Imaging to differentiate between Healthy Aging subjects, Mild Cognitive Impairment, and Alzheimer’s Patients |
| title_full_unstemmed | Using functional Magnetic Resonance Imaging to differentiate between Healthy Aging subjects, Mild Cognitive Impairment, and Alzheimer’s Patients |
| title_short | Using functional Magnetic Resonance Imaging to differentiate between Healthy Aging subjects, Mild Cognitive Impairment, and Alzheimer’s Patients |
| title_sort | using functional magnetic resonance imaging to differentiate between healthy aging subjects mild cognitive impairment and alzheimer s patients |
| topic | fMRI, Default Mode Network, Alzheimer’s, Mild Cognitive Impairment, Resting-State |
| url | http://journals.mui.ac.ir/jrms/article/view/3942 |
| work_keys_str_mv | AT mohammadalioghabian usingfunctionalmagneticresonanceimagingtodifferentiatebetweenhealthyagingsubjectsmildcognitiveimpairmentandalzheimerspatients AT seyedamirhosseinbatouli usingfunctionalmagneticresonanceimagingtodifferentiatebetweenhealthyagingsubjectsmildcognitiveimpairmentandalzheimerspatients AT maryamnoroozian usingfunctionalmagneticresonanceimagingtodifferentiatebetweenhealthyagingsubjectsmildcognitiveimpairmentandalzheimerspatients AT maryamziaei usingfunctionalmagneticresonanceimagingtodifferentiatebetweenhealthyagingsubjectsmildcognitiveimpairmentandalzheimerspatients AT hajirsikaroodi usingfunctionalmagneticresonanceimagingtodifferentiatebetweenhealthyagingsubjectsmildcognitiveimpairmentandalzheimerspatients |