The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index; none of the 16 sources its claims cite is checked for support yet.
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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51 Own result · 14 Not checked yet · 12 Own interpretation · 5 Own method · 2 No basis given
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In the paper
“The magnitudes of longitudinal changes in the lobar regions were not significantly influenced by age and sex.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Age effects on global and lobar volumes
plain- Asserted: passes — The authors put it forward as true.
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In the paper
“analysis of lobar regions and voxel-based comparisons of local changes revealed regional patterns of vulnerability to agerelated tissue loss.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Discussion
plaincorrelational- Asserted: passes — The authors put it forward as true.
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In the paper
“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.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Stability over time
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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).”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Abstract
plain- Asserted: passes — The authors put it forward as true.
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In the paper
“As indicated by the significant effects of time, longitudinal brain changes reached statistical significance for all regions examined.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Age effects on global and lobar volumes
plain- Asserted: passes — The authors put it forward as true.
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In the paper
“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).”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Age effects on global and lobar volumes
What the sources say
- Not checked yetcites Resnick et al., 2000
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In the paper
“our observations of modest longitudinal volume loss in mesial temporal structures is contrary to their report of relative preservation of tissue in these regions.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Discussion
What the sources say
- Not checked yetcites Good and colleagues (2001)
plain- Asserted: passes — The authors put it forward as true.
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In the paper
“Although there was a trend for greater longitudinal tissue loss in white compared with gray matter, this difference was not statistically significant.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Discussion
plain- Asserted: passes — The authors put it forward as true.
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In the paper
“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.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Age effects on local gray and white matter tissue volumes
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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).”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Abstract
plaindirectn = 92- Asserted: passes — The authors put it forward as true.
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- It may state two separate claims as one. 25
- The quote only partly states this claim. 1
- Probably not a substantial claim. 5
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Age effects on global and lobar volumes
plainn = 24- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Age effects on global and lobar volumes
plain- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These scatterplots show declines in brain volumes and increases in V-CSF for the majority of individuals.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Stability over time
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Age effects on local gray and white matter tissue volumes
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Age effects on local gray and white matter tissue volumes
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Discussion
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
- Also stated in: § Discussion · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Abstract
plainn = 92- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Age effects on global and lobar volumes
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Abstract
plaincorrelationaln = 92 ·- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Rates of tissue loss were similar in men and women and in older and younger adults.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Discussion
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Abstract
plaindirectn = 92 ·- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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).”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Abstract
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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The quote only partly states this claim.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The magnitude of brain tissue loss was somewhat reduced in the very healthy elderly, but these individuals still showed significant volume change.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Age effects on global and lobar volumes
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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).”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Discussion
plain- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Our sample is composed of relatively healthy individuals, and they have shown, on average, little cognitive change over this initial 4 year interval.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Discussion
plain- Asserted: passes — The authors put it forward as true.
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Discussion
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
- Also stated in: § Discussion · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“with changes over the 4-year interval of 21.6 and 5.6 cm 3 , respectively.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Discussion
plain- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Discussion
plain- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“All measurements were highly stable over both 2 and 4 year intervals, with test-retest correlations ranging from 0.94 to 0.99.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Stability over time
plaincorrelational- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These data provide essential information on the rate and regional pattern of age-associated changes against which pathology can be evaluated”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Abstract
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. It may be too vague to check against evidence.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Stabilities over 1 year for these measures are all Ͼ0.95.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Image analysis.
plain- Asserted: passes — The authors put it forward as true.
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Differences in age distributions for the two samples may account in part for these discrepancies.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Discussion
hedgedconditional- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Quantitative analysis of MR volumes is accomplished using a semi-automated approach, with demonstrated validity and high reliability (Goldszal et al., 1998).”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Image analysis.
What the sources say
- Not checked yetcites Goldszal et al., 1998
boosted- Asserted: passes — The authors put it forward as true.
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In the paper
“the magnitude and age at which sex differences appear remain unclear.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Discussion
What the sources say
- Not checked yetcites Kaye et al., 1992
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“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).”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Introduction
plain- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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).”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Discussion
What the sources say
- Not checked yetcites Convit et al., 1997
- Not checked yetcites Petersen et al., 2000
boostedcorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the uniformity of our findings across individuals argues against this interpretation unless all are in a preclinical stage of dementia.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Discussion
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
- Rests on an assumption: The observed brain tissue loss is not entirely attributable to preclinical dementia in all participants.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Discussion
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
In the paper
“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.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Discussion
What the sources say
- Not checked yetcites Braak and Braak (1997)
hedged- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“our findings from in vivo MRI studies can help direct more focused neuropathological studies of specific brain regions.”
§ Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain > Discussion
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence.
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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“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]
Citations
Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
Hirono, N., Mori, E., Ikejiri, Y., Imamura, T., Shimomura, T., Hashimoto, M., Yamashita, H., & Ikeda, M. (1997) · PubMed · Cited by 21,012
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589
Older Adults' Reasons for Using Technology while Aging in Place
Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., van Hoof, J., Vrijhoef, H. J., & Wouters, E. (2015) · Gerontology · doi:10.1159/000430949 · Cited by 19,852
Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly
Kangas, M., Korpelainen, R., Vikman, I., Nyberg, L., & Jämsä, T. J. (2014) · Gerontology · doi:10.1159/000362720 · Cited by 19,007
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
Statistical parametric maps in functional imaging: A general linear approach
Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. ‐., Frith, C. D., & Frackowiak, R. S. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020402 · Cited by 9,688
Co-planar stereotaxic atlas of the human brain
Laitinen, L. (1989) · Clinical Neurology and Neurosurgery · doi:10.1016/0303-8467(89)90128-5 · Cited by 7,565
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561
Frequency of Stages of Alzheimer-Related Lesions in Different Age Categories
Braak, H., & Braak, E. (1997) · Neurobiology of Aging · doi:10.1016/s0197-4580(97)00056-0 · Cited by 1,656
Research works printed but not linked: 1
- Yan MXH, Karp JN (1995) An adaptive Bayesian approach to three- dimensional MR brain segmentation. In: Proceedings of XIVth Interna- tional Conference on Information Processing in Medical Imaging, pp 201-213. Ile de Berder, France, June.
Cited by
Sorted by citations
Items 401–500 of 1,000
Neural correlates of movement preparation in healthy ageing
Sterr, A., & Dean, P. J. A. (2007) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2007.05975.x · Cited by 64
I: Longitudinal changes in aging brain function
Beason-Held, L. L., Kraut, M. A., & Resnick, S. M. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.10.031 · Cited by 63
Self-citationPrinelli, F., Fratiglioni, L., Kalpouzos, G., Musicco, M., Adorni, F., Johansson, I., Marseglia, A., & Xu, W. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.05.066 · Cited by 63
Mortby, M. E., Janke, A. L., Anstey, K. J., Sachdev, P. S., & Cherbuin, N. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073697 · Cited by 63
Tiehuis, A. M., van der Graaf, Y., Mali, W. P. T. M., Vincken, K. L., Muller, M., & Geerlings, M. I. (2014) · Diabetes Care · doi:10.2337/dc14-0154 · Cited by 63
Stability of Default-Mode Network Activity in the Aging Brain
Beason‐Held, L. L., Kraut, M. A., & Resnick, S. M. (2009) · Brain Imaging and Behavior · doi:10.1007/s11682-008-9054-z · Cited by 62
Self-citationWhat’s Behind the Decline? The Role of White Matter in Brain Aging
Hinman, J. D., & Abraham, C. R. (2007) · Neurochemical Research · doi:10.1007/s11064-007-9341-x · Cited by 66
Mann, S., Hazlett, E. A., Byne, W. M., Hof, P. R., Buchsbaum, M. S., Cohen, B. H., Goldstein, K. E., Haznedar, M. M., Mitsis, E. M., Siever, L. J., et al. (2011) · Brain Research · doi:10.1016/j.brainres.2011.05.050 · Cited by 61
Giovanello, K. S., & Schacter, D. L. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00113 · Cited by 61
Bonifazi, P., Erramuzpe, A., Diez, I. P., Gabilondo, I., Boisgontier, M. P., Pauwels, L., Stramaglia, S., Swinnen, S. P., & Cortés, J. M. (2018) · Human Brain Mapping · doi:10.1002/hbm.24312 · Cited by 60
Yang, H., Leaver, A. M., Siddarth, P., Paholpak, P., Ercoli, L., St. Cyr, N. M., Eyre, H. A., Narr, K. L., Khalsa, D. S., & Lavretsky, H. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00277 · Cited by 61
Thulborn, K. R., LUI, E. H., Guntin, J., Jamil, S. B., Sun, Z., Claiborne, T. C., & Atkinson, I. C. (2015) · NMR in Biomedicine · doi:10.1002/nbm.3312 · Cited by 60
Learning to starve: impacts of food limitation beyond the stress period
McCue, M. D., Terblanche, J. S., & Benoit, J. B. (2017) · Journal of Experimental Biology · doi:10.1242/jeb.157867 · Cited by 60
Functional Parcellation of the Cerebral Cortex Across the Human Adult Lifespan
Han, L., Savalia, N. K., Chan, M. Y., Agres, P. F., Nair, A., & Wig, G. S. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy218 · Cited by 60
Ventricular and Periventricular Anomalies in the Aging and Cognitively Impaired Brain
Todd, K. L., Brighton, T., Norton, E. S., Schick, S., Elkins, W., Pletniková, O., Fortinsky, R. H., Troncoso, J. C., Molfese, P. J., Resnick, S. M., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00445 · Cited by 62
Self-citationCallaert, D. V., Ribbens, A., Maes, F., Swinnen, S. P., & Wenderoth, N. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00124 · Cited by 66
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Lindvall, P., Runnerstam, M., Birgander, R., & Koskinen, L. (2009) · British Journal of Neurosurgery · doi:10.1080/02688690802710668 · Cited by 60
Park, D. C., & Goh, J. O. S. (2009) · Wiley eBooks · doi:10.1002/9780470478509.neubb002061 · Cited by 60
White Matter Changes and Word Finding Failures with Increasing Age
Stamatakis, E. A., Shafto, M. A., Williams, G. B., Tam, P. P., & TYLER, L. K. (2011) · PLoS ONE · doi:10.1371/journal.pone.0014496 · Cited by 59
Morphometric network differences in ageing versus Alzheimer’s disease dementia
Binette, A. P., Gonneaud, J., Vogel, J. W., Joie, R. L., Rosa‐Neto, P., Collins, D. L., Poirier, J., Breitner, J. C. S., Villeneuve, S., Vachon‐Presseau, É., et al. (2019) · Brain · doi:10.1093/brain/awz414 · Cited by 54
Raz, N., & Kennedy, K. M. (2009) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195328875.003.0004 · Cited by 61
Appelman, A. P. A., Vincken, K. L., van der Graaf, Y., Vlek, A. L. M., Witkamp, T. D., Mali, W. P. T. M., & Geerlings, M. I. (2010) · Cerebrovascular Diseases · doi:10.1159/000255971 · Cited by 58
The aging brain: sleep, the circadian clock and exercise
Panagiotou, M., Michel, S. H., Meijer, J. H., & Deboer, T. (2021) · Biochemical Pharmacology · doi:10.1016/j.bcp.2021.114563 · Cited by 62
Cortical thickness and VBM-DARTEL in late-life depression
Colloby, S. J., Firbank, M., Vasudev, A., Parry, S. W., Thomas, A. J., & O'Brien, J. T. (2011) · Journal of Affective Disorders · doi:10.1016/j.jad.2011.04.010 · Cited by 62
Alcohol intake and brain structure in a multiethnic elderly cohort
Gu, Y., Scarmeas, N., Short, E. E., Luchsinger, J. A., DeCarli, C. S., Stern, Y., Manly, J. J., Schupf, N., Mayeux, R. P., & Brickman, A. M. (2013) · Clinical Nutrition · doi:10.1016/j.clnu.2013.08.004 · Cited by 58
Shah, C., Zhang, W., Xiao, Y., Li, Y., Zhao, Y., Gao, X., Liu, L., Liu, J., Li, S., Bo, T., et al. (2016) · Psychological Medicine · doi:10.1017/s0033291716002683 · Cited by 59
Musical Training and Brain Volume in Older Adults
Chaddock‐Heyman, L., Loui, P., Weng, T. B., Weisshappel, R., McAuley, E., & Kramer, A. F. (2021) · Brain Sciences · doi:10.3390/brainsci11010050 · Cited by 72
Reduced GABAergic cortical inhibition in aging and depression
Lissemore, J. I., Bhandari, A., Mulsant, B. H., Lenze, E. J., Reynolds, C. F., Karp, J. F., Rajji, T. K., Noda, Y., Zomorrodi, R., Sibille, E. L., et al. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0093-x · Cited by 60
Brain aging and speech perception: Effects of background noise and talker variability
Tremblay, P., Brisson, V., & Deschamps, I. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117675 · Cited by 56
McWilliams, A., Bibby, H., Steinbeis, N., David, A. S., & Fleming, S. M. (2023) · Cognition · doi:10.1016/j.cognition.2023.105389 · Cited by 64
Erus, G., Doshi, J. J., An, Y., Verganelakis, D. A., Resnick, S. M., & Davatzikos, C. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.026 · Cited by 57
Self-citationDully, J., McGovern, D. P., & O’Connell, R. G. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2018.02.001 · Cited by 62
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Kirchhoff, B. A., Gordon, B. A., & Head, D. M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.052 · Cited by 59
Combining voxel-based morphometry and diffusion tensor imaging to detect age-related brain changes
Lehmbeck, J. T., Brassen, S., Weber‐Fahr, W., & Braus, D. F. (2006) · Neuroreport · doi:10.1097/01.wnr.0000209012.24341.7f · Cited by 56
Sex‐ and Age‐Related Differences in Brain FDG Metabolism of Healthy Adults: An SPM Analysis
Hsieh, T., Lin, W., Ding, H., Sun, S., Wu, Y., Yen, K., & Kao, C. (2011) · Journal of Neuroimaging · doi:10.1111/j.1552-6569.2010.00543.x · Cited by 56
3 Tesla MRI detects accelerated hippocampal volume reduction in postmenopausal women
Goto, M., Abe, O., Miyati, T., Inano, S., Hayashi, N., Aoki, S., Mori, H., Kabasawa, H., Ino, K., Yano, K., et al. (2010) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22328 · Cited by 56
Cortical thickness and voxel-based morphometry in depressed elderly
Koolschijn, P. C. M. P., van Haren, N. E. M., Schnack, H. G., Janssen, J., Pol, H. E. H., & Kahn, R. S. (2010) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2010.02.010 · Cited by 56
Marchand, W. R., Lee, J. N., Suchy, Y., Garn, C. L., Johnson, S., Wood, N., & Chelune, G. J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.030 · Cited by 56
Religious Factors and Hippocampal Atrophy in Late Life
Owen, A. D., Hayward, R. D., Koenig, H. G., Steffens, D. C., & Payne, M. E. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017006 · Cited by 55
A deep ensemble hippocampal CNN model for brain age estimation applied to Alzheimer’s diagnosis
Poloni, K. M., & Ferrari, R. J. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.116622 · Cited by 55
Preliminary evidence that long-term estrogen use reduces white matter loss in aging
Ha, D. M., Xu, J., & Janowsky, J. S. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.08.007 · Cited by 55
Walhovd, K. B., Fjell, A. M., & Espeseth, T. (2014) · Scandinavian Journal of Psychology · doi:10.1111/sjop.12120 · Cited by 60
Balzeau, A., & Gilissen, E. (2010) · Journal of Human Evolution · doi:10.1016/j.jhevol.2010.03.013 · Cited by 55
Mind-Reading Ability and Structural Connectivity Changes in Aging
Cabinio, M., Rossetto, F., Blasi, V., Savazzi, F. A., Castelli, I., Massaro, D., Valle, A., Nemni, R., Clerici, M., Marchetti, A., et al. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01808 · Cited by 59
Age Differences in Prefrontal Surface Area and Thickness in Middle Aged to Older Adults
Dotson, V. M., Szymkowicz, S. M., Sozda, C. N., Kirton, J. W., Green, M. L., O’Shea, A. M., McLaren, M. E., Anton, S. D., Manini, T. M., & Woods, A. J. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00250 · Cited by 63
Diaz, M. T., Rizio, A. A., & Zhuang, J. (2016) · Language and Linguistics Compass · doi:10.1111/lnc3.12199 · Cited by 57
A decade of changes in brain volume and cognition
Aljondi, R., Szoeke, C. E. I., Steward, C., Yates, P. A., & Desmond, P. M. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9887-z · Cited by 62
Plasma proteomic signatures predict dementia and cognitive impairment
Tanaka, T., Lavery, R. F., Varma, V. R., Fantoni, G., Colpo, M., Thambisetty, M., Candia, J., Resnick, S. M., Bennett, D. A., Biancotto, A., et al. (2020) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12018 · Cited by 55
Self-citationYang, Z., Wen, J., Abdulkadir, A., Cui, Y., Erus, G., Mamourian, E., Melhem, R., Srinivasan, D., Govindarajan, S. T., Chen, J., et al. (2024) · Nature Communications · doi:10.1038/s41467-023-44271-2 · Cited by 55
Self-citationVariations in brain volume and regional morphology associated with chronic pain
Schmidt‐Wilcke, T. (2008) · Current Rheumatology Reports · doi:10.1007/s11926-008-0077-7 · Cited by 55
Fayed, N. M., Andres, E. M., Viguera, L., Modrego, P. J., & García‐Campayo, J. (2014) · Academic Radiology · doi:10.1016/j.acra.2014.04.009 · Cited by 54
Differential brain shrinkage over 6 months shows limited association with cognitive practice
Raz, N., Schmiedek, F., Rodrigue, K. M., Kennedy, K. M., Lindenberger, U., & Lövdén, M. (2013) · Brain and Cognition · doi:10.1016/j.bandc.2013.04.002 · Cited by 56
Lipp, A., Skowronek, C., Fehlner, A., Streitberger, K., Braun, J., & Sack, I. (2018) · European Radiology · doi:10.1007/s00330-017-5269-y · Cited by 54
Liao, X., Mao, C., Wang, Y., Zhang, Q., Cao, D., Seminowicz, D. A., Zhang, M., & Yang, X. (2018) · Medicine · doi:10.1097/md.0000000000010145 · Cited by 51
Sadoun, A., Rosito, M., Fonta, C., & Girard, P. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.10.003 · Cited by 53
Precision Aging: Applying Precision Medicine to the Field of Cognitive Aging
Ryan, L., Hay, M., Huentelman, M. J., Duarte, A., Rundek, T., Levin, B. E., Soldan, A., Pettigrew, C. A., Mehl, M. R., & Barnes, C. A. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00128 · Cited by 55
Hosseini, S. M. H., Rostami, M., Yomogida, Y., Takahashi, M. K., Tsukiura, T., & Kawashima, R. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.008 · Cited by 52
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Beacher, F. D. C. C., Daly, E., Simmons, A., Prasher, V. P., Morris, R. G., Robinson, C., Lovestone, S., Murphy, K. C., & Murphy, D. (2009) · Psychological Medicine · doi:10.1017/s0033291709990985 · Cited by 53
Yates, M. A., Markham, J. A., Anderson, S. E., Morris, J. R., & Juraska, J. M. (2008) · Brain Research · doi:10.1016/j.brainres.2008.04.055 · Cited by 53
Semi-supervised cluster analysis of imaging data
Filipovych, R., Resnick, S. M., & Davatzikos, C. A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.074 · Cited by 53
Self-citationEvidence for cervical cord tissue disorganisation with aging by diffusion tensor MRI
Agosta, F., Laganà, M. M., Valsasina, P., Sala, S., Dall’Occhio, L., Sormani, M. P., Judica, E., & Filippi, M. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.03.048 · Cited by 53
Neuropsychological mechanisms of falls in older adults
Liu, Y., Chan, J. S. Y., & Yan, J. H. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00064 · Cited by 61
Psychotic Experiences and Neuropsychological Functioning in a Population-based Sample
Mollon, J., David, A. S., Morgan, C., Frissa, S., Glahn, D. C., Pilecka, I., Hatch, S. L., Hotopf, M. H., & Reichenberg, A. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.2551 · Cited by 53
Lamar, M., Yousem, D. M., & Resnick, S. M. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.11.018 · Cited by 53
Self-citationHow aging and bilingualism influence language processing
Rossi, E., & Diaz, M. T. (2016) · Linguistic Approaches to Bilingualism · doi:10.1075/lab.14029.ros · Cited by 55
Taki, Y., Thyreau, B., Kinomura, S., Sato, K., Goto, R., Wu, K., Kawashima, R., & Fukuda, H. (2012) · Human Brain Mapping · doi:10.1002/hbm.22067 · Cited by 52
Blood-Based Biomarker Candidates of Cerebral Amyloid Using PiB PET in Non-Demented Elderly
Westwood, S., Leoni, E., Hye, A., Lynham, S., Khondoker, M. R., Ashton, N. J., Kiddle, S. J., Baird, A. L., Sáinz‐Fuertes, R., Leung, R., et al. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-151155 · Cited by 51
Prehn, K., Lesemann, A., Krey, G., Witte, A. V., Köbe, T., Grittner, U., & Flöel, A. (2017) · Brain and Cognition · doi:10.1016/j.bandc.2017.08.006 · Cited by 54
Lifespan normative data on rates of brain volume changes
Battaglini, M., Gentile, G., Luchetti, L., Giorgio, A., Vrenken, H., Barkhof, F., Cover, K. S., Bakshi, R., Chu, R., Sormani, M. P., et al. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.05.010 · Cited by 52
The significance of caudate volume for age-related associative memory decline
Bauer, E., Toepper, M., Gebhardt, H., Gallhofer, B., & Sammer, G. (2015) · Brain Research · doi:10.1016/j.brainres.2015.06.026 · Cited by 54
Aging and the statistical learning of grammatical form classes.
Schwab, J. F., Schuler, K. D., Stillman, C. M., Newport, E. L., Howard, J. H., & Howard, D. V. (2016) · Psychology and Aging · doi:10.1037/pag0000110 · Cited by 51
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Altena, E., Ramautar, J. R., van der Werf, Y. D., & Someren, E. J. W. V. (2010) · Progress in brain research · doi:10.1016/b978-0-444-53702-7.00011-7 · Cited by 51
Frantzidιs, C. A., Ladas, A. I., Vivas, A. B., Tsolaki, M., & Bamidis, P. D. (2014) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2014.01.007 · Cited by 54
Hominins and the emergence of the modern human brain
de Sousa, A. A., & Cunha, E. M. (2012) · Progress in brain research · doi:10.1016/b978-0-444-53860-4.00014-3 · Cited by 52
Dohm, K., Redlich, R., Zwitserlood, P., & Dannlowski, U. (2016) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867416661426 · Cited by 49
Yamamoto, Y., Danhof, M., & de Lange, E. C. M. (2017) · The AAPS Journal · doi:10.1208/s12248-017-0050-3 · Cited by 53
Bagarinao, E., Watanabe, H., Maesawa, S., Mori, D., Hara, K., Kawabata, K., Yoneyama, N., Ohdake, R., Imai, K., Masuda, M., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.014 · Cited by 52
Armstrong, N. M., An, Y., Beason‐Held, L. L., Doshi, J. J., Erus, G., Ferrucci, L., Davatzikos, C. A., & Resnick, S. M. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.10.024 · Cited by 52
Self-citationPfenninger, S. E., & Singleton, D. (2019) · Language Teaching · doi:10.1017/s0261444819000235 · Cited by 63
Walia, V., Chaudhary, S. K., & Kumar Sethiya, N. (2021) · Neurochemistry International · doi:10.1016/j.neuint.2020.104939 · Cited by 51
Rasmussen, D., & Eliasmith, C. (2013) · Intelligence · doi:10.1016/j.intell.2013.10.003 · Cited by 49
Nicolini, C., Fahnestock, M. L., Gibala, M. J., & Nelson, A. J. (2020) · Neuroscience · doi:10.1016/j.neuroscience.2020.12.013 · Cited by 59
Truelove‐Hill, M., Erus, G., Bashyam, V., Varol, E., Sako, C., Gur, R. C., Gur, R. E., Koutsouleris, N., Zhuo, C., Yong Fan, A., et al. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.2092-19.2019 · Cited by 50
Self-citationThe prevalence of cortical gray matter atrophy may be overestimated in the healthy aging brain.
Burgmans, S., van Boxtel, M. P. J., Vuurman, E. F. P. M., Smeets, F., Gronenschild, E. H. B. M., Uylings, H. B. M., & Jolles, J. (2009) · Neuropsychology · doi:10.1037/a0016161 · Cited by 50
Heckner, M. K., Cieslik, E. C., Eickhoff, S. B., Camilleri, J. A., Hoffstaedter, F., & Langner, R. (2020) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01616 · Cited by 53
Dark, H. E., An, Y., Duggan, M. R., Joynes, C. M., Davatzikos, C. A., Erus, G., Lewis, A., Moghekar, A., Resnick, S. M., & Walker, K. A. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01459-y · Cited by 55
Self-citationAging effects on functional auditory and visual processing using fMRI with variable sensory loading
Cliff, M., Joyce, D. W., Lamar, M., Dannhauser, T. M., Tracy, D. K., & Shergill, S. S. (2012) · Cortex · doi:10.1016/j.cortex.2012.04.003 · Cited by 53
Age-associated differences on structural brain MRI in nondemented individuals from 71 to 103 years
Yang, Z., Wen, W. X., Jiang, J., Crawford, J. D., Reppermund, S., Levitan, C., Slavin, M. J., Kochan, N. A., RICHMOND, R. L., Brodaty, H., et al. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.01.006 · Cited by 48
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Vaidya, J. G., Paradiso, S., Ponto, L. L. B., McCormick, L. M., & Robinson, R. G. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.06.015 · Cited by 55
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Metadata
- 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 › Developmental and Educational 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
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