Age effect on subcortical structures in healthy adults
Cross-sectional age effects in normal control volunteers were investigated using magnetic resonance imaging in the following eight subcortical structures: lateral ventricles, thalamus, caudate, putamen, pallidum, hippocampus, amygdala and nucleus accumbens. Two hundred and twenty-six control subject...
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| Published in | Psychiatry research. Neuroimaging Vol. 203; no. 1; pp. 38 - 45 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Shannon
Elsevier Ireland Ltd
30.07.2012
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0925-4927 1872-7506 |
| DOI | 10.1016/j.pscychresns.2011.09.014 |
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| Abstract | Cross-sectional age effects in normal control volunteers were investigated using magnetic resonance imaging in the following eight subcortical structures: lateral ventricles, thalamus, caudate, putamen, pallidum, hippocampus, amygdala and nucleus accumbens. Two hundred and twenty-six control subjects, ranging in age from 19 to 85years, were scanned on a 1.5T GE system (n=184) or a 3.0T Siemens system (n=42). Volumes of subcortical structures, adjusted for cranium size, were estimated using FSL's FIRST software, which is fully automated. Significant age effects were found for all volumes when the entire age range was analyzed; however, the older subjects (60–85years of age) showed a stronger correlation between age and structural volume for the ventricles, hippocampus, amygdala and accumbens than middle-aged (35–60years of age) subjects. Middle-aged subjects were studied at both sites, and age effects in these groups were comparable, despite differences in magnet strength and acquisition systems. This agreement lends support to the validity of the image-analysis tools and procedures used in the present study. |
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| AbstractList | Abstract Cross-sectional age effects in normal control volunteers were investigated using magnetic resonance imaging in the following eight subcortical structures: lateral ventricles, thalamus, caudate, putamen, pallidum, hippocampus, amygdala and nucleus accumbens. Two hundred and twenty-six control subjects, ranging in age from 19 to 85 years, were scanned on a 1.5 T GE system ( n = 184) or a 3.0 T Siemens system ( n = 42). Volumes of subcortical structures, adjusted for cranium size, were estimated using FSL's FIRST software, which is fully automated. Significant age effects were found for all volumes when the entire age range was analyzed; however, the older subjects (60–85 years of age) showed a stronger correlation between age and structural volume for the ventricles, hippocampus, amygdala and accumbens than middle-aged (35–60 years of age) subjects. Middle-aged subjects were studied at both sites, and age effects in these groups were comparable, despite differences in magnet strength and acquisition systems. This agreement lends support to the validity of the image-analysis tools and procedures used in the present study. Cross-sectional age effects in normal control volunteers were investigated using magnetic resonance imaging in the following eight subcortical structures: lateral ventricles, thalamus, caudate, putamen, pallidum, hippocampus, amygdala and nucleus accumbens. Two hundred and twenty-six control subjects, ranging in age from 19 to 85 years, were scanned on a 1.5 T GE system (n=184) or a 3.0 T Siemens system (n=42). Volumes of subcortical structures, adjusted for cranium size, were estimated using FSL's FIRST software, which is fully automated. Significant age effects were found for all volumes when the entire age range was analyzed; however, the older subjects (60-85 years of age) showed a stronger correlation between age and structural volume for the ventricles, hippocampus, amygdala and accumbens than middle-aged (35-60 years of age) subjects. Middle-aged subjects were studied at both sites, and age effects in these groups were comparable, despite differences in magnet strength and acquisition systems. This agreement lends support to the validity of the image-analysis tools and procedures used in the present study. Cross-sectional age effects in normal control volunteers were investigated using magnetic resonance imaging in the following eight subcortical structures: lateral ventricles, thalamus, caudate, putamen, pallidum, hippocampus, amygdala and nucleus accumbens. Two hundred and twenty-six control subjects, ranging in age from 19 to 85years, were scanned on a 1.5T GE system (n=184) or a 3.0T Siemens system (n=42). Volumes of subcortical structures, adjusted for cranium size, were estimated using FSL's FIRST software, which is fully automated. Significant age effects were found for all volumes when the entire age range was analyzed; however, the older subjects (60–85years of age) showed a stronger correlation between age and structural volume for the ventricles, hippocampus, amygdala and accumbens than middle-aged (35–60years of age) subjects. Middle-aged subjects were studied at both sites, and age effects in these groups were comparable, despite differences in magnet strength and acquisition systems. This agreement lends support to the validity of the image-analysis tools and procedures used in the present study. Cross-sectional age effects in normal control volunteers were investigated using magnetic resonance imaging in the following eight subcortical structures: lateral ventricles, thalamus, caudate, putamen, pallidum, hippocampus, amygdala and nucleus accumbens. Two hundred and twenty-six control subjects, ranging in age from 19 to 85 years, were scanned on a 1.5 T GE system (n=184) or a 3.0 T Siemens system (n=42). Volumes of subcortical structures, adjusted for cranium size, were estimated using FSL's FIRST software, which is fully automated. Significant age effects were found for all volumes when the entire age range was analyzed; however, the older subjects (60-85 years of age) showed a stronger correlation between age and structural volume for the ventricles, hippocampus, amygdala and accumbens than middle-aged (35-60 years of age) subjects. Middle-aged subjects were studied at both sites, and age effects in these groups were comparable, despite differences in magnet strength and acquisition systems. This agreement lends support to the validity of the image-analysis tools and procedures used in the present study.Cross-sectional age effects in normal control volunteers were investigated using magnetic resonance imaging in the following eight subcortical structures: lateral ventricles, thalamus, caudate, putamen, pallidum, hippocampus, amygdala and nucleus accumbens. Two hundred and twenty-six control subjects, ranging in age from 19 to 85 years, were scanned on a 1.5 T GE system (n=184) or a 3.0 T Siemens system (n=42). Volumes of subcortical structures, adjusted for cranium size, were estimated using FSL's FIRST software, which is fully automated. Significant age effects were found for all volumes when the entire age range was analyzed; however, the older subjects (60-85 years of age) showed a stronger correlation between age and structural volume for the ventricles, hippocampus, amygdala and accumbens than middle-aged (35-60 years of age) subjects. Middle-aged subjects were studied at both sites, and age effects in these groups were comparable, despite differences in magnet strength and acquisition systems. This agreement lends support to the validity of the image-analysis tools and procedures used in the present study. Cross-sectional age effects in normal control volunteers were investigated in 8 subcortical structures: lateral ventricles, thalamus, caudate, putamen, pallidum, hippocampus, amygdala and nucleus accumbens. Two hundred and twenty six control subjects, ranging in age from 19 to 85 years, were scanned on a 1.5T GE system (n = 184) or a 3.0T Siemens system (n = 42). Cranium-size adjusted subcortical structure volumes were estimated using FSL’s FIRST software, which is fully automated. Significant age effects were found for all volumes when the entire age range was analyzed, however the older subjects (60–85 years of age) showed a stronger correlation between age and structural volume for the ventricles, hippocampus, amygdala and accumbens than middle-aged (35–60 years of age) subjects. Middle-aged subjects were studied at both sites, and age effects in these groups were comparable, despite differences in magnet strength and acquisition systems. This agreement lends support to the validity of the image analysis tools and procedures used in the present study. |
| Author | Goodro, Matt Patenaude, Brian Fein, George Sameti, Mohammad |
| AuthorAffiliation | b Department of Psychiatry and Behavioral Sciences, Stanford University 401 Quarry Rd., Stanford, CA 94304, USA a Neurobehavioral Research, Inc., 1585 Kapiolani Blvd, Ste 1030 Honolulu, HI 96814, USA c Department of Psychology, University of Hawaii 2530 Dole Street, Sakamaki C 400 Honolulu, HI 96822, USA |
| AuthorAffiliation_xml | – name: c Department of Psychology, University of Hawaii 2530 Dole Street, Sakamaki C 400 Honolulu, HI 96822, USA – name: a Neurobehavioral Research, Inc., 1585 Kapiolani Blvd, Ste 1030 Honolulu, HI 96814, USA – name: b Department of Psychiatry and Behavioral Sciences, Stanford University 401 Quarry Rd., Stanford, CA 94304, USA |
| Author_xml | – sequence: 1 givenname: Matt surname: Goodro fullname: Goodro, Matt organization: Neurobehavioral Research, Inc., 1585 Kapiolani Blvd, Ste 1030, Honolulu, HI 96814, USA – sequence: 2 givenname: Mohammad surname: Sameti fullname: Sameti, Mohammad organization: Neurobehavioral Research, Inc., 1585 Kapiolani Blvd, Ste 1030, Honolulu, HI 96814, USA – sequence: 3 givenname: Brian surname: Patenaude fullname: Patenaude, Brian organization: Department of Psychiatry and Behavioral Sciences, Stanford University, 401 Quarry Rd., Stanford, CA 94304, USA – sequence: 4 givenname: George surname: Fein fullname: Fein, George email: george@nbresearch.com organization: Neurobehavioral Research, Inc., 1585 Kapiolani Blvd, Ste 1030, Honolulu, HI 96814, USA |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26407127$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/22863654$$D View this record in MEDLINE/PubMed |
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| Snippet | Cross-sectional age effects in normal control volunteers were investigated using magnetic resonance imaging in the following eight subcortical structures:... Abstract Cross-sectional age effects in normal control volunteers were investigated using magnetic resonance imaging in the following eight subcortical... Cross-sectional age effects in normal control volunteers were investigated in 8 subcortical structures: lateral ventricles, thalamus, caudate, putamen,... |
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| SubjectTerms | Accumbens Adult Aged Aged, 80 and over Aging - pathology Amygdala Basal Ganglia - pathology Biological and medical sciences Brain MRI Cross-Sectional Studies Female Hippocampus Hippocampus - pathology Humans Image Processing, Computer-Assisted Lateral Ventricles - pathology Magnetic Resonance Imaging Male Medical sciences Middle Aged Organ Size Psychiatry Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Radiology Thalamus - pathology Ventricles |
| Title | Age effect on subcortical structures in healthy adults |
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