Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain
Open accessAbstract
Age-related loss of brain tissue has been inferred from cross-sectional neuroimaging studies, but direct measurements of gray and white matter changes from longitudinal studies are lacking. We quantified longitudinal magnetic resonance imaging (MRI) scans of 92 nondemented older adults (age 59-85 years at baseline) in the Baltimore Longitudinal Study of Aging to determine the rates and regional distribution of gray and white matter tissue loss in older adults. Using images from baseline, 2 year, and 4 year follow-up, we found significant age changes in gray (p < 0.001) and white (p < 0.001) volumes even in a subgroup of 24 very healthy elderly. Annual rates of tissue loss were 5.4 +/- 0.3, 2.4 +/- 0.4, and 3.1 +/- 0.4 cm3 per year for total brain, gray, and white volumes, respectively, and ventricles increased by 1.4 +/- 0.1 cm3 per year (3.7, 1.3, 2.4, and 1.2 cm3, respectively, in very healthy). Frontal and parietal, compared with temporal and occipital, lobar regions showed greater decline. Gray matter loss was most pronounced for orbital and inferior frontal, cingulate, insular, inferior parietal, and to a lesser extent mesial temporal regions, whereas white matter changes were widespread. In this first study of gray and white matter volume changes, we demonstrate significant longitudinal tissue loss for both gray and white matter even in very healthy older adults. These data provide essential information on the rate and regional pattern of age-associated changes against which pathology can be evaluated and suggest slower rates of brain atrophy in individuals who remain medically and cognitively healthy.
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- Findingown data
The magnitudes of longitudinal changes in lobar regions were not significantly influenced by age and sex.
“The magnitudes of longitudinal changes in the lobar regions were not significantly influenced by age and sex.”
Quote in the paperSubstantial claim - Findingown data
Analysis of lobar regions and voxel-based comparisons revealed regional patterns of vulnerability to age-related tissue loss.
“analysis of lobar regions and voxel-based comparisons of local changes revealed regional patterns of vulnerability to agerelated tissue loss.”
Quote in the paperSubstantial claim - Findingown data
There was a tendency for greater ventricular CSF increases in individuals with larger baseline volumes.
“Although the magnitude of decline in brain volume appears relatively consistent across subjects, there is a tendency for greater V-CSF increases in individuals with larger baseline volumes.”
Quote in the paperNot a substantial claim - Findingown data
In the very healthy subgroup, the annual rate of ventricular volume increase was 1.2 cm3 per year.
“Annual rates of tissue loss were 5.4 Ϯ 0.3, 2.4 Ϯ 0.4, and 3.1 Ϯ 0.4 cm 3 per year for total brain, gray, and white volumes, respectively, and ventricles increased by 1.4 Ϯ 0.1 cm 3 per year (3.7, 1.3, 2.4, and 1.2 cm 3 , respectively, in very healthy).”
Quote in the paperNot a substantial claim - Findingown data
Longitudinal brain changes reached statistical significance for all regions examined.
“As indicated by the significant effects of time, longitudinal brain changes reached statistical significance for all regions examined.”
Quote in the paperSubstantial claim
- Findingcitation
Cross-sectional effects of age and sex on brain and ventricular volumes were consistent with the authors' previous report of baseline and 1-year follow-up assessments.
“Cross-sectional effects of age and sex on brain and ventricular volumes were consistent with our previous report of baseline and 1 year follow-up assessments (Resnick et al., 2000).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Resnick et al., 2000
Not checked in the free run.
- Findingown data
Our observations of modest longitudinal volume loss in mesial temporal structures are contrary to Good et al. (2001)'s report of relative preservation of tissue in these regions.
“our observations of modest longitudinal volume loss in mesial temporal structures is contrary to their report of relative preservation of tissue in these regions.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Good and colleagues (2001)
Not checked in the free run.
- Findingown data
The trend for greater longitudinal tissue loss in white matter compared with gray matter was not statistically significant.
“Although there was a trend for greater longitudinal tissue loss in white compared with gray matter, this difference was not statistically significant.”
Quote in the paperNot a substantial claim - Findingown data
Gray matter volume loss showed a lateralized pattern, with greater change in the right than left hemisphere in many regions.
“There appears to be a lateralized pattern to the gray matter volume loss, with greater change for the right compared with left hemisphere in many regions.”
Quote in the paperNot a substantial claim - Findingown data
Ventricular volume increased by 1.4 ± 0.1 cm3 per year.
“Annual rates of tissue loss were 5.4 Ϯ 0.3, 2.4 Ϯ 0.4, and 3.1 Ϯ 0.4 cm 3 per year for total brain, gray, and white volumes, respectively, and ventricles increased by 1.4 Ϯ 0.1 cm 3 per year (3.7, 1.3, 2.4, and 1.2 cm 3 , respectively, in very healthy).”
Quote in the paperSubstantial claim - Findingown data
The apparent trend toward greater decline in white than gray matter volume was not statistically significant when compared directly using repeated-measures MANOVA.
“As described above, the apparent trend toward greater decline in rates of change for white compared with gray matter volume was not statistically significant when compared directly using repeated-measures MANOVA.”
Quote in the paperNot a substantial claim - Findingown data
Cross-sectional effects of age did not reach significance in the very healthy group.
“Interestingly, cross-sectional effects of age did not reach significance in the very healthy group, highlighting the greater sensitivity of intra-individual measurements of longitudinal change.”
Quote in the paperSubstantial claim - Findingown data
In the very healthy subgroup, the annual rate of total brain volume loss was 3.7 cm3 per year.
“Annual rates of tissue loss were 5.4 Ϯ 0.3, 2.4 Ϯ 0.4, and 3.1 Ϯ 0.4 cm 3 per year for total brain, gray, and white volumes, respectively, and ventricles increased by 1.4 Ϯ 0.1 cm 3 per year (3.7, 1.3, 2.4, and 1.2 cm 3 , respectively, in very healthy).”
Quote in the paperSubstantial claim - Findingown data
Rates of increase in ventricular volume were significantly greater in older compared with younger individuals.
“In contrast, the rates of increase in ventricular volume, reflecting central brain atrophy, were significantly greater in older compared with younger individuals.”
Quote in the paperSubstantial claim - Findingown data
Longitudinal tissue loss was greater in frontal and parietal lobes than in temporal and occipital lobes.
“Longitudinal tissue loss was greater for frontal and parietal lobes than temporal and occipital lobes (Fig. 2).”
Quote in the paperSubstantial claim - Findingown data
The annual rate of white matter volume loss was 3.1 ± 0.4 cm3 per year.
“Annual rates of tissue loss were 5.4 Ϯ 0.3, 2.4 Ϯ 0.4, and 3.1 Ϯ 0.4 cm 3 per year for total brain, gray, and white volumes, respectively, and ventricles increased by 1.4 Ϯ 0.1 cm 3 per year (3.7, 1.3, 2.4, and 1.2 cm 3 , respectively, in very healthy).”
Quote in the paperSubstantial claim - Findingown data
In the very healthy subgroup, the annual rate of gray matter volume loss was 1.3 cm3 per year.
“Annual rates of tissue loss were 5.4 Ϯ 0.3, 2.4 Ϯ 0.4, and 3.1 Ϯ 0.4 cm 3 per year for total brain, gray, and white volumes, respectively, and ventricles increased by 1.4 Ϯ 0.1 cm 3 per year (3.7, 1.3, 2.4, and 1.2 cm 3 , respectively, in very healthy).”
Quote in the paperSubstantial claim - Findingown data
There were no significant differences between gray and white matter in the magnitude of tissue loss.
“However, there were no significant differences between gray and white matter in the magnitude of tissue loss.”
Quote in the paperSubstantial claim - Findingown data
The annual rate of gray matter volume loss was 2.4 ± 0.4 cm3 per year.
“Annual rates of tissue loss were 5.4 Ϯ 0.3, 2.4 Ϯ 0.4, and 3.1 Ϯ 0.4 cm 3 per year for total brain, gray, and white volumes, respectively, and ventricles increased by 1.4 Ϯ 0.1 cm 3 per year (3.7, 1.3, 2.4, and 1.2 cm 3 , respectively, in very healthy).”
Quote in the paperSubstantial claim - Findingown data
Exclusion of the four participants with mild cognitive impairment yielded nearly identical rates of change for the global measures.
“Exclusion of the four participants with mild cognitive impairment yielded nearly identical rates of change for the global measures.”
Quote in the paperNot a substantial claim - Findingown data
White matter changes were widespread throughout the brain.
“Local analysis of white matter tissue loss reveals widespread changes throughout the brain.”
Quote in the paperSubstantial claim - Findingown data
Trends toward sex differences in rates of V-CSF enlargement did not reach significance when adjusted for baseline ventricular volume.
“trends toward sex differences in rates of V-CSF enlargement did not reach significance when adjusted for baseline ventricular volume.”
Quote in the paperNot a substantial claim - Findingown data
In nondemented older adults aged 59-85 at baseline, total brain tissue volume declined significantly over the 4-year longitudinal MRI follow-up.
“the overall loss of brain tissue over time was highly significant: F (2,88) ϭ 146.0; p Ͻ 0.0001.”
Quote in the paperSubstantial claim - Findingown data
Serial MRI over 4 years showed tissue loss in both gray and white matter even in the very healthy subgroup of older adults.
“Consistently, our present longitudinal results from serial MRI evaluations show 4 year tissue loss for both gray and white matter even in the very healthy subgroup of older adults.”
Quote in the paperSubstantial claim - Findingown data
The annual rate of total brain volume loss was 5.4 ± 0.3 cm3 per year.
“Annual rates of tissue loss were 5.4 Ϯ 0.3, 2.4 Ϯ 0.4, and 3.1 Ϯ 0.4 cm 3 per year for total brain, gray, and white volumes, respectively, and ventricles increased by 1.4 Ϯ 0.1 cm 3 per year (3.7, 1.3, 2.4, and 1.2 cm 3 , respectively, in very healthy).”
Quote in the paperSubstantial claim - Findingown data
Frontal and parietal brain volumes show greater relative tissue loss than temporal and occipital regions.
“Frontal and parietal brain volumes show greater relative tissue loss compared with temporal and occipital regions.”
- Also stated in: § Discussion · plain
“Frontal and parietal brain volumes show greater relative tissue loss compared with temporal and occipital regions.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
There were significant differences among frontal, parietal, temporal, and occipital regions in the magnitude of longitudinal tissue loss.
“analysis of the magnitudes of longitudinal tissue loss for frontal, parietal, temporal, and occipital regions revealed significant differences among regions (time ϫ region: F (6,84) ϭ 4.73; p Ͻ 0.001).”
Quote in the paperSubstantial claim - Findingown data
Ventricular volume and ventricle-to-brain ratio showed a significant age-by-time interaction, with faster change at older ages.
“For ventricular volume and VBR, there was a significant age by time interaction, revealing a faster rate of change in both measures with advancing age.”
Quote in the paperSubstantial claim - Findingown data
Rates of change in brain and ventricular volumes did not differ significantly between men and women.
“Rates of change in brain and ventricular volumes did not differ significantly for men and women.”
Quote in the paperNot a substantial claim - Findingown data
Most older adults show some tissue loss over time.
“our findings indicate that most older adults show some tissue loss over time”
Quote in the paperSubstantial claim - Findingown data
The current approach identified substantial magnitudes of age-related tissue loss.
“the current approach identified substantial magnitudes of age-related tissue loss.”
Quote in the paperSubstantial claim - Findingown data
There was a notable hemispheric asymmetry in white matter volume loss in the temporal lobe, with greater left compared with right tissue loss.
“There was a notable hemispheric asymmetry in white matter volume loss in the temporal lobe, with greater left compared with right tissue loss.”
Quote in the paperNot a substantial claim - Findingown data
The annual rate of V-CSF increase was 1.4 cm3 (4% per year).
“of V-CSF increase were 1.4 cm 3 (4% per year)”
Quote in the paperSubstantial claim - Findingcitation
Longitudinal declines in local white matter volumes were more widespread throughout the brain.
“Longitudinal declines in local white matter volumes were more widespread throughout the brain”
Quote in the paperSubstantial claim - Findingown data
There is substantial variability in the magnitude of tissue loss over time.
“there is substantial variability in the magnitude of this change.”
Quote in the paperNot a substantial claim - Findingown data
The annual rate of cerebral tissue loss was 5.4 cm3 (0.5% per year).
“Annual rates of cerebral tissue loss were 5.4 cm 3 (0.5% per year)”
Quote in the paperSubstantial claim - Interpretationown data
The data suggest slower rates of brain atrophy in individuals who remain medically and cognitively healthy.
“suggest slower rates of brain atrophy in individuals who remain medically and cognitively healthy.”
Quote in the paperSubstantial claim - Premisecitation
Cross-sectional estimates of age effects are confounded by secular changes in nutrition, medical care, and other factors.
“Estimates of age effects based on such designs are confounded by secular changes in nutrition, medical care, and other factors.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Miller and Corsellis, 1977
Not checked in the free run.
- Study design and conductown data
Four-year stabilities for brain and ventricular volumes were high.
“Four year stabilities for brain and ventricular volumes (Fig. 1, top and bottom, respectively) illustrate the high stability in the face of changing absolute volumes.”
Quote in the paperSubstantial claim - Study design and conductcitation
Removal of extracranial tissue, cerebellum, and brainstem structures had high inter-rater and test-retest reliability.
“Extracranial tissue, the cerebellum, and brainstem structures inferior to the mammillary bodies are removed by a single, highly experienced, imageprocessing technician using a semi-automated procedure, with high inter-rater and test-retest reliability (Goldszal et al., 1998).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Goldszal et al., 1998
Not checked in the free run.
- Study design and conductcitation
One-year stabilities for regional volumes were between 0.86 and 0.97.
“yielding stabilities over 1 year between 0.86 and 0.97 (Resnick et al., 2000).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Resnick et al., 2000
Not checked in the free run.
- Premisereasoning
Rates of brain changes can only be determined from longitudinal investigations.
“rates of brain changes can only be determined from longitudinal investigations.”
Quote in the paperSubstantial claim - Interpretationown data
This report provides the first quantitative data on the rates and regional distribution of local gray and white matter tissue loss in older adult men and women.
“Moreover, we provide the first quantitative data of the rates and regional distribution of local gray and white matter tissue loss in older adult men and women.”
Quote in the paperSubstantial claim - Interpretationown data
This report provides the first evidence of substantial longitudinal declines in both gray and white matter brain volumes in older adults aged 59-85 at baseline.
“This report provides the first evidence of substantial longitudinal declines in both gray and white matter brain volumes in older adults ranging in age from 59 to 85 years at baseline.”
Quote in the paperSubstantial claim - Study design and conductcitation
All participants remained free of dementia at the year 5 follow-up.
“All participants remained free of dementia at year 5 follow-up, using diagnostic procedures described previously (Kawas et al., 2000).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kawas et al., 2000
Not checked in the free run.
- Interpretationown data
Orbital-frontal and insular cortex tissue loss may predict other cognitive and functional impairments in elderly individuals.
“may predict other cognitive and functional impairments in elderly individuals.”
Quote in the paperSubstantial claim - Interpretationown data
The data provide normative values against which potential pathological increases in rates of change can be evaluated.
“Thus, our data provide normative values against which potential pathological increases in rates of change can be evaluated.”
Quote in the paperSubstantial claim- Rests on an assumption: The observed brain tissue loss is not entirely attributable to preclinical dementia in all participants.
- Rests on an assumption: The sample is representative of normal older adults without dementia.
- Interpretationcitation
The widespread white matter declines most likely reflect demyelinating changes in older individuals.
“most likely reflecting demyelinating changes in older individuals (Wiggins et al., 1988;Svennerholm et al., 1997).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Wiggins et al., 1988
Not checked in the free run.
- cites Svennerholm et al., 1997
Not checked in the free run.
- Interpretationown data
The trend toward reduced volume loss in the very healthy subsample suggests that brain atrophy may be reduced in individuals who remain medically and cognitively healthy.
“The trend toward reduced volume loss in the very healthy subsample suggests that brain atrophy may be reduced in individuals who remain medically and cognitively healthy.”
Quote in the paperSubstantial claim - Interpretationown data
The volume loss cannot be explained by disproportionate changes in a limited number of individuals.
“This volume loss cannot be explained by disproportionate changes in a limited number of individuals.”
Quote in the paperSubstantial claim - Interpretationreasoning
The neurotoxic consequences of amyloid may contribute to the observed regional pattern of gray matter tissue loss.
“the neurotoxic consequences of amyloid may contribute to our observations of a regional pattern of gray matter tissue loss.”
Quote in the paperNot a substantial claim - Study design and conductreasoning
There is greater sensitivity for detection of age effects in regions with more accurate stereotaxic transformation.
“there is greater sensitivity for detection of age effects in regions with more accurate stereotaxic transformation.”
Quote in the paperSubstantial claim - Premisecitation
Recent longitudinal investigations of older adults show small but significant hippocampal tissue loss with age.
“recent longitudinal investigations of older adults show small but significant tissue loss with age (Jack et al., 1998;Mueller et al., 1998).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Jack et al., 1998
Not checked in the free run.
- cites Mueller et al., 1998
Not checked in the free run.
- Premisecitation
Amyloid deposition increases as a function of age.
“Because amyloid deposition increases as a function of age”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Braak and Braak (1997)
Not checked in the free run.
- May combine two claims. 25
- The quote only partly states this claim. 1
- Classified as probably not a substantial claim. 5
May combine two claims.
Findingown dataLongitudinal changes remained significant after excluding four individuals with mild cognitive impairment and in analyses of 24 very healthy individuals.
“Longitudinal changes remained significant excluding the four individuals with mild cognitive impairment and for the analyses based on 24 individuals free of medical problems and even very mild cognitive change.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor ventricular CSF, the main effect of time did not reach significance when the age-by-time interaction was present, but significant longitudinal increases appeared when the interaction was omitted.
“In the presence of this interaction, the main effect of time for V-CSF did not reach significance, although significant longitudinal increases were evident when the interaction was omitted from the model.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataScatterplots showed declines in brain volumes and increases in ventricular CSF for the majority of individuals.
“These scatterplots show declines in brain volumes and increases in V-CSF for the majority of individuals.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWhite matter tissue loss asymmetry was limited to the temporal lobe, with greater loss of left than right temporal white matter.
“Although there is some asymmetry in the white matter tissue loss, this asymmetry appears limited to the temporal lobe, with greater loss of left than right temporal white matter.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe right-greater-than-left asymmetry was most pronounced in inferior frontal and anterior temporal regions, but reversed in the inferior parietal region.
“The right greater than left asymmetry is most pronounced in inferior frontal and anterior temporal regions, but shows a reversed pattern in the inferior parietal region.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataVoxel-based analyses indicated that cingulate, insular, orbital, and inferior frontal cortex, and to a lesser extent mesial temporal regions, showed longitudinal changes in gray matter.
“Voxel-based analyses of local regions provided complementary information and indicated that cingulate, insular, orbital, and inferior frontal cortex, and, to a lesser extent, mesial temporal regions showed longitudinal changes in gray matter.”
- Also stated in: § Discussion · plain
“Gray matter volume loss in the insula (right Ͼ left; inferior and coronal views), orbital frontal cortex (inferior and sagittal views), and cingulate cortex (sagittal and coronal views) are highlighted.”
Quote in the paperSubstantial claim- Also stated in: § Discussion · plain
May combine two claims.
Findingown dataGray matter loss was most pronounced in orbital and inferior frontal, cingulate, insular, and inferior parietal regions, and less pronounced in mesial temporal regions.
“Gray matter loss was most pronounced for orbital and inferior frontal, cingulate, insular, inferior parietal, and to a lesser extent mesial temporal regions, whereas white matter changes were widespread.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the very healthy subsample, longitudinal changes were significant and did not differ by tissue type or lobar region.
“MANOVA restricted to the very healthy subsample showed significant longitudinal changes that did not differ as a function of tissue type or lobar brain region.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataGray matter volume declined significantly over 4 years in nondemented older adults, including a subgroup of very healthy elderly.
“we found significant age changes in gray ( p Ͻ 0.001) and white ( p Ͻ 0.001) volumes even in a subgroup of 24 very healthy elderly.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataRates of tissue loss were similar in men and women and in older and younger adults.
“Rates of tissue loss were similar in men and women and in older and younger adults.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWhite matter volume declined significantly over 4 years in nondemented older adults, including a subgroup of very healthy elderly.
“we found significant age changes in gray ( p Ͻ 0.001) and white ( p Ͻ 0.001) volumes even in a subgroup of 24 very healthy elderly.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataIn the very healthy subgroup, the annual rate of white matter volume loss was 2.4 cm3 per year.
“Annual rates of tissue loss were 5.4 Ϯ 0.3, 2.4 Ϯ 0.4, and 3.1 Ϯ 0.4 cm 3 per year for total brain, gray, and white volumes, respectively, and ventricles increased by 1.4 Ϯ 0.1 cm 3 per year (3.7, 1.3, 2.4, and 1.2 cm 3 , respectively, in very healthy).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe magnitude of brain tissue loss was somewhat reduced in the very healthy elderly, but these individuals still showed significant volume change.
“The magnitude of brain tissue loss was somewhat reduced in the very healthy elderly, but these individuals still showed significant volume change.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the healthy subgroup, gray matter tissue loss was not significant in simple analysis but was significant in the more sensitive mixed-effects regression analysis.
“All values are significant at p Ͻ 0.001 except gray (NS) and white (p Ͻ 0.05) in the healthy group.Note that the nonsignificant trend for gray matter tissue loss in the healthy subgroup is significant in the more sensitive mixed-effects regression analysis (see Results).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe sample is composed of relatively healthy individuals who have shown, on average, little cognitive change over the initial 4-year interval.
“Our sample is composed of relatively healthy individuals, and they have shown, on average, little cognitive change over this initial 4 year interval.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAgainst a background of highly stable measurement, longitudinal decreases in brain tissue volume and increases in V-CSF occur across almost all individuals in this age range.
“Inspection of Figure 1, top and bottom, indicates that, against a background of highly stable measurement, longitudinal decreases in brain tissue volume and increases in V-CSF occur across almost all individuals in this age range.”
- Also stated in: § Discussion · plain
“Against a background of highly stable measurement, brain volumes decrease and ventricular volumes increase over the 4 year interval.”
Quote in the paperSubstantial claim- Also stated in: § Discussion · plain
May combine two claims.
Findingown dataChanges over the 4-year interval were 21.6 cm3 for cerebral tissue and 5.6 cm3 for V-CSF.
“with changes over the 4-year interval of 21.6 and 5.6 cm 3 , respectively.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataViews of the right and left hemispheres highlight tissue loss in inferior frontal, insular, and posterior temporal regions (right greater than left) and the inferior parietal region (left greater than right).
“Bottom, Views of the right and left hemispheres highlight tissue loss in inferior frontal, insular, and posterior temporal regions (right Ͼ left) and the inferior parietal (left Ͼ right) region.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataAll measurements were highly stable over both 2-year and 4-year intervals, with test-retest correlations from 0.94 to 0.99.
“All measurements were highly stable over both 2 and 4 year intervals, with test-retest correlations ranging from 0.94 to 0.99.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationown dataThese data provide essential information on the rate and regional pattern of age-associated changes against which pathology can be evaluated.
“These data provide essential information on the rate and regional pattern of age-associated changes against which pathology can be evaluated”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataOne-year stabilities for total gray, white, brain, ventricular CSF, and ventricle-to-brain ratio measures were all greater than 0.95.
“Stabilities over 1 year for these measures are all Ͼ0.95.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenDifferences in age distributions between the two samples may account in part for the discrepancies.
“Differences in age distributions for the two samples may account in part for these discrepancies.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductcitationThe semi-automated image analysis approach used for MR volume quantitation has demonstrated validity and high reliability.
“Quantitative analysis of MR volumes is accomplished using a semi-automated approach, with demonstrated validity and high reliability (Goldszal et al., 1998).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Goldszal et al., 1998
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationThe magnitude and age at which sex differences in ventricular size appear remain unclear.
“the magnitude and age at which sex differences appear remain unclear.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kaye et al., 1992
Not checked in the free run.
May combine two claims.
Premisenone givenFew longitudinal neuroimaging studies exist, and none had examined global and regional changes in both gray and white matter using high-resolution MRI.
“There have been few longitudinal neuroimaging studies, and none have examined global and regional changes in both gray and white matter using high-resolution magnetic resonance imaging (MRI).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThere is already substantial evidence that loss of mesial temporal lobe tissue, particularly in hippocampus and entorhinal cortex, is associated with memory impairment and the development of Alzheimer's disease.
“There is already substantial evidence that loss of mesial temporal lobe tissue, particularly in hippocampus and entorhinal cortex, is associated with memory impairment and the development of Alzheimer's disease (Convit et al., 1997;Petersen et al., 2000).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Convit et al., 1997
Not checked in the free run.
- cites Petersen et al., 2000
Not checked in the free run.
May combine two claims.
Interpretationown dataThe uniformity of findings across individuals argues against the interpretation that any tissue loss reflects preclinical dementia rather than normal aging, unless all are in a preclinical stage of dementia.
“the uniformity of our findings across individuals argues against this interpretation unless all are in a preclinical stage of dementia.”
Quote in the paperSubstantial claim- Rests on an assumption: The observed brain tissue loss is not entirely attributable to preclinical dementia in all participants.
May combine two claims.
Study design and conductreasoningRegistration errors limit the ability to detect change in voxel-based analyses, and these difficulties are most pronounced in regions of high cortical variability.
“Registration errors limit our ability to detect change in voxel-based analyses, and these difficulties will be most pronounced in regions of high cortical variability.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationInitial amyloid pathology appears in basal neocortex, including perirhinal and orbital cortex, then spreads to adjacent neocortical association areas and hippocampal formation, and finally to primary neocortical areas.
“Initial pathology appears in the basal neocortex, including perirhinal and orbital cortex, and next spreads into adjacent neocortical association areas and the hippocampal formation, followed finally by its appearance in primary neocortical areas.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Braak and Braak (1997)
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
Interpretationown dataFindings from in vivo MRI studies can help direct more focused neuropathological studies of specific brain regions.
“our findings from in vivo MRI studies can help direct more focused neuropathological studies of specific brain regions.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
The 92 BLSA participants are representative of nondemented older adults aged 59–85, so the estimated rates and regional patterns generalize to that population.
“This report provides the first evidence of substantial longitudinal declines in both gray and white matter brain volumes in older adults ranging in age from 59 to 85 years at baseline.”
“this community-dwelling sample of older adults shows an average loss of 5.4 cm 3 of brain volume and increase of 1.4 cm 3 in ventricular volume each year.”
The paper relies on this without support.
The observed 4-year longitudinal changes reflect aging rather than secular or cohort effects.
“rates of brain changes can only be determined from longitudinal investigations.”
“we found significant age changes in gray ( p Ͻ 0.001) and white ( p Ͻ 0.001) volumes even in a subgroup of 24 very healthy elderly.”
The paper relies on this without support.
The observed brain tissue loss is not entirely attributable to preclinical dementia in all participants.
“Although some argue that any tissue loss reflects pathological changes associated with preclinical dementia rather than normal aging, the uniformity of our findings across individuals argues against this interpretation unless all are in a preclinical stage of dementia.”
The paper relies on this without support.
Increases in ventricular volume reflect central brain atrophy.
“the rates of increase in ventricular volume, reflecting central brain atrophy”
The paper relies on this without support.
The sample is representative of normal older adults without dementia.
“Our sample is composed of relatively healthy individuals, and they have shown, on average, little cognitive change over this initial 4 year interval.”
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Prefrontal cortical regions that support executive functions are particularly vulnerable to declines at later ages.
“Executive planning and organizational skills appear to be important to maintaining functional independence (4–7) and appear to be particularly vulnerable to declines at later ages (8–10) along with the prefrontal cortical regions of the brain that support them (11–14).”
From Evidence for Neurocognitive Plasticity in At-Risk Older Adults: The Experience Corps Program (2009) · cites this paper as [12]
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Heterogeneous aging across multiple organ systems and prediction of chronic disease and mortality
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Ten Years of BrainAGE as a Neuroimaging Biomarker of Brain Aging: What Insights Have We Gained?
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Accelerated Brain Gray Matter Loss in Fibromyalgia Patients: Premature Aging of the Brain?
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Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification
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Self-citationAssociation of hearing impairment with brain volume changes in older adults
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- Authors
- Resnick, S. M., Pham, D. L., Kraut, M. A., Zonderman, A. B., & Davatzikos, C.
- Affiliations
- National Institute on Aging (US)
- Johns Hopkins University (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2003-04-15
- Volume
- 23
- Issue
- 8
- Pages
- 3295-3301
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6742337
- OpenAlex
- W1929729372
- Semantic Scholar
- bfeb3d16a48b60458c19697495bc7dd17277f1e3
- Cited by
- 1,425
- References
- 46
- Citations by year
- 2026: 24 · 2025: 33 · 2024: 54 · 2023: 54 · 2022: 66 · 2021: 90 · 2020: 77 · 2019: 72 · 2018: 79 · 2017: 68 · 2016: 71 · 2015: 65 · 2014: 79 · 2013: 68 · 2012: 72
- FWCI
- 19.87
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neuroscience (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Aging and Gerontology Research
- Keywords
- brain atrophy, gray matter loss, white matter loss, brain volume changes, aging, older adults, ventriculomegaly, healthy older adults, Baltimore Longitudinal Study of Aging
- MeSH terms
- Age Factors, Aged, Aged, 80 and over, Aging, Brain, Brain Mapping, Cerebral Ventricles, Female, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Reference Values, Regression Analysis, Sex Factors, Baltimore
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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