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Voxel-based mapping of brain gray matter volume and glucose metabolism profiles in normal aging
Open accessAbstract
With age, the brain undergoes both structural and functional alterations, probably resulting in reported cognitive declines. Relatively few investigations have sought to identify those areas that remain intact with aging, or undergo the least deterioration, which might underlie cognitive preservations. Our aim here was to establish a comprehensive profile of both structural and functional changes in the aging brain, using up-to-date voxel-based methodology (i.e. optimized voxel-based morphometry (VBM) procedure; resting-state (18)FDG-PET with correction for partial volume effects (PVE)) in 45 optimally healthy subjects aged 20-83 years. Negative and positive correlations between age and both gray matter (GM) volume and (18)FDG uptake were assessed. The frontal cortex manifested the greatest deterioration, both structurally and functionally, whereas the anterior hippocampus, the thalamus and (functionally) the posterior cingulate cortex were the least affected. Our results support the developmental theory which postulates that the first regions to emerge phylogenetically and ontogenetically are the most resistant to age effects, and the last ones the most vulnerable. Furthermore, the lesser affected anterior hippocampal region, together with the lesser functional alteration of the posterior cingulate cortex, appear to mark the parting of the ways between normal aging and Alzheimer's disease, which is characterized by early and prominent deterioration of both structures.
Overview
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Written from the paper’s full text.
TL;DR
In 45 optimally healthy adults aged 20–83, normal aging showed the greatest structural and metabolic deterioration in frontal cortex, while anterior hippocampus, thalamus, and posterior cingulate cortex were among the least affected. The authors interpret this pattern as supporting developmental theory and as distinguishing normal aging from Alzheimer’s disease.
Key findings
- Absolute gray matter (GM) loss was mainly bilateral frontal (dorsolateral prefrontal, sensorimotor, orbitofrontal), with additional loss in superior occipital/parietal cortices, insula, posterior hippocampus, cerebellum, and periventricular/caudate/anterior thalamic regions.
- Highest 18FDG uptake decreases were bilateral superior medial frontal, motor, anterior/middle cingulate, parietal regions (left-predominant), and superior temporal pole encroaching on insular/orbitofrontal cortex.
- Least GM decline was mainly right anterior mesial temporal structures (anterior hippocampus, entorhinal cortex, amygdala), lateral thalamic nuclei, right calcarine region, and brainstem; least 18FDG decrease was bilateral mesial temporal (hippocampus, amygdala, parahippocampal gyrus), putamen/pallidum/lateral thalamic nuclei, right posterior cingulate/precuneus, occipito-temporal cortex, and cerebellum.
- Complementary analyses: right hippocampal head volume vs age was r = .07 (p = .65); HipMask relative metabolic hippocampal ratios vs age was r = .51 (p < .001), and HipMask measures correlated with SPM hippocampal peaks at r = .73 left and r = .70 right (p < .001 for both).
Methods
- Cross-sectional study of 45 right-handed healthy subjects aged 20–83 years (mean 49.4 ± 18; 24 females, 21 males), screened with stringent clinical, MRI, and neuropsychological criteria; MRI and resting 18FDG-PET were completed within two months.
- MRI analyzed with optimized voxel-based morphometry (VBM); PET corrected for partial volume effects using a modified Müller-Gärtner method, coregistered/normalized to a customized template, and smoothed with a 14-mm isotropic Gaussian filter.
- SPM2 voxelwise correlations with age used p < .01 FDR corrected, minimum cluster size k = 20; proportional scaling assessed relative GM and relative 18FDG changes, with complementary ROI and HipMask analyses for hippocampus.
Limitations
- The paper states that PET and MR spatial resolution differed, preventing direct comparison of atrophy and hypometabolism; possible age effects on intrinsic MR signal/contrast; PVE correction accuracy depends on MRI-PET realignment and MRI segmentation; and the cross-sectional design cannot definitively resolve hippocampal impairment because of possible cohort effects.
- The text also makes evident that PET data were relative rather than CMRglc because raw FDG uptake has no physiological meaning and CMRglc requires invasive arterial blood sampling.
- A formal psychiatric interview was not performed, as noted in the inclusion criteria.
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Claims the paper makes
42 Not checked yet · 40 Own result · 11 Own interpretation · 5 Own method · 1 No basis given
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 frontal cortex manifested the greatest deterioration, both structurally and functionally, whereas the anterior hippocampus, the thalamus and (functionally) the posterior cingulate cortex were the least affected.”
- Also stated in: § 3.1. Absolute GM volume loss (Table 1, Figure 1A) · p. 10 · plain
“Absolute age-related GM volume loss was mainly located bilaterally in the frontal lobes (dorsolateral prefrontal cortex, sensorimotor areas and orbitofrontal regions).”
- Also stated in: § 3.3. Highest 18 FDG uptake decreases (Table 3, Figure 1B) · p. 10 · plain
“A relative age-related decrease in 18 FDG uptake was found bilaterally in the superior medial frontal, motor, anterior and middle cingulate cortices, as well as in the bilateral parietal regions (with left-sided predominance), including the supramarginal, superior and inferior parietal cortices.”
plaincorrelationaln = 45- 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.
- Rests on an assumption: Cross-sectional age-related differences in brain structure and metabolism reflect true aging effects rather than cohort effects.
- Also stated in: § 3.1. Absolute GM volume loss (Table 1, Figure 1A) · p. 10 · 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
“The positive correlation between age and GM volume showed that the least GM decline was mainly located in the anterior right mesial temporal lobe structures (and the left counterpart at p<0.05 FDR corrected), including the anterior part of the hippocampus, entorhinal cortex and amygdala, lateral thalamic nuclei, right calcarine region and brainstem.”
plaincorrelational- 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.
- Rests on an assumption: Cross-sectional age-related differences in brain structure and metabolism reflect true aging effects rather than cohort effects.
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
“Absolute age-related GM volume loss was mainly located bilaterally in the frontal lobes (dorsolateral prefrontal cortex, sensorimotor areas and orbitofrontal regions).”
plaindirect- 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.
- Rests on an assumption: Cross-sectional age-related differences in brain structure and metabolism reflect true aging effects rather than cohort effects.
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
“A relative age-related decrease in 18 FDG uptake was found bilaterally in the superior medial frontal, motor, anterior and middle cingulate cortices, as well as in the bilateral parietal regions (with left-sided predominance), including the supramarginal, superior and inferior parietal cortices.”
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.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: Cross-sectional age-related differences in brain structure and metabolism reflect true aging effects rather than cohort effects.
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 least 18 FDG uptake decreases with aging was found in the bilateral mesial temporal lobes (hippocampus, amygdala and parahippocampal gyrus).”
plaindirect- 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.
- Rests on an assumption: Cross-sectional age-related differences in brain structure and metabolism reflect true aging effects rather than cohort effects.
None of the sources cited for this claim have been checked yet.
In the paper
“Consistent with the literature, less metabolic decrease was found within the inferior temporal (fusiform cortex) and occipital areas (calcarine area and lingual gyrus) [32,49,58,86].”
What the sources say
- Not checked yetcites [32] Herholz, 2002, Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET, Neuroimage source
- Not checked yetcites [49] Moeller, 1996, The metabolic topography of normal aging, J. Cereb. Blood Flow Metab. source
- Not checked yetcites [58] Petit-Taboué, 1998, Effects of healthy aging on the regional cerebral metabolic rate of glucose assessed with statistical parametric mapping, Neuroimage source
- Not checked yetcites [86] Willis, 2002, Age, sex and laterality effects on cerebral glucose metabolism in healthy adults, Psychiatry Res. (Neuroimaging) source
plain- Asserted: passes — The authors put it forward as true.
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In the paper
“It is worth noting that the posterior cingulate cortex is one of the least metabolically impaired areas with healthy aging.”
plain- Asserted: passes — The authors put it forward as true.
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In the paper
“By controlling for errors liable to generate inaccurate findings, our data provide further evidence that the subcortical nuclei (putamen, pallidum) and thalamus are quite spared by increasing age.”
boosted- Asserted: passes — The authors put it forward as true.
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In the paper
“Regarding the metabolic data, we found that the anterior brain areas, notably a large part of the superior medial prefrontal cortex and the anterior and middle parts of the cingulate cortex, were the most metabolically affected in normal aging.”
plaincorrelational- Asserted: passes — The authors put it forward as true.
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In the paper
“Moreover, we found substantial correlations between the measures obtained in each subject using the HipMask method, and the intensity values extracted from the voxel-based analysis in the left [-36;-14;-18] and right [38;-22;-12] hippocampal peaks (r = .73 and r = .70, respectively, p < .001 for both), suggesting that the SPM findings are robust and not due to spatial normalization errors.”
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- It may state two separate claims as one. 27
- The quote only partly states this claim. 16
- Probably not a substantial claim. 21
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 frontal cortex manifested the greatest deterioration, both structurally and functionally, whereas the anterior hippocampus, the thalamus and (functionally) the posterior cingulate cortex were the least affected.”
- Also stated in: § 3.2. Least GM volume decreases (Table 2, Figure 1A) · p. 10 · plain
“The positive correlation between age and GM volume showed that the least GM decline was mainly located in the anterior right mesial temporal lobe structures (and the left counterpart at p<0.05 FDR corrected), including the anterior part of the hippocampus, entorhinal cortex and amygdala, lateral thalamic nuclei, right calcarine region and brainstem.”
- Also stated in: § 3.4. Least 18 FDG uptake decreases (Table 4, Figure 1B) · p. 11 · plain
“The least 18 FDG uptake decreases with aging was found in the bilateral mesial temporal lobes (hippocampus, amygdala and parahippocampal gyrus).”
plainn = 45- 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: Cross-sectional age-related differences in brain structure and metabolism reflect true aging effects rather than cohort effects.
- Also stated in: § 3.2. Least GM volume decreases (Table 2, Figure 1A) · p. 10 · 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
“Atrophy was also found in the bilateral superior occipital and superior parietal cortices, the insular region surrounding the superior temporal areas, the posterior part of the hippocampus, the cerebellum and the periventricular areas spanning the caudate nuclei and anterior thalamic nucleus.”
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.
- Rests on an assumption: Cross-sectional age-related differences in brain structure and metabolism reflect true aging effects rather than cohort effects.
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 metabolic rate of the superior temporal pole encroaching on the insular and orbitofrontal cortices was particularly affected.”
plaindirect- 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.
The quote only partly states this claim.
- Rests on an assumption: Cross-sectional age-related differences in brain structure and metabolism reflect true aging effects rather than cohort effects.
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 putamen, pallidum and lateral thalamic nuclei were metabolically less impaired, as well as the right posterior cingulate cortex and precuneus, both sides of the occipito-temporal cortex (calcarine, fusiform, lingual and inferior occipital cortices) and the cerebellum.”
plain- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
- Rests on an assumption: Cross-sectional age-related differences in brain structure and metabolism reflect true aging effects rather than cohort effects.
None of the sources cited for this claim have been checked yet.
In the paper
“One of the limbic structures - the hippocampus - showed a lesser degree of metabolic impairment, thus confirming the findings of Willis et al. [86], who found 'preserved' hippocampal relative CMRglc (cerebral metabolic rate of glucose), and those of a very recent longitudinal study [5] over 9 years in older healthy subjects which highlighted an increased relative rCBF in the left hippocampus.”
What the sources say
plain- Asserted: passes — The authors put it forward as true.
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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
“Finally, it is worth noting that the gray matter losses in the frontal cortex and those in the hippocampus are very different, the decline in frontal cortex proceeding monotonically downward from an early age.”
plaincorrelational- 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
“0 | -27 | -12 | 5.83 | 828 | Brainstem”
plaincorrelational- 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
“19 | -21 | 5 | 5.63 | 768 | Thalamus (lateral nuclei) R”
plaincorrelational- 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
“58 | -26 | 50 | 5.01 | 740 | Supramarginal/parietal inf R”
plaincorrelational- 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
“21 | -9 | -29 | 5.68 | 1902 | Entorhinal R | 28/36”
plaincorrelational- Asserted: passes — The authors put it forward as true.
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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
“46 | 22 | -6 | 4.73 | 206 | Orbitofrontal inf R”
plaincorrelational- 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
“18 | -14 | 10 | 5.40 | 95 | Thalamus (lateral nuclei) R”
plaincorrelational- Asserted: passes — The authors put it forward as true.
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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
“-40 | 14 | -10 | 5.46 | 481 | Orbitofrontal inf L”
plaincorrelational- 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
“6 | 20 | 66 | 6.05 | 1520 | Frontal mid/sup/sup med R”
plaincorrelational- 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
“-36 | -52 | 56 | 7.54 | 1372 | Parietal inf/sup/supramarginal L”
plaincorrelational- 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
“-10 | -60 | -36 | 5.34 | 412 | Cerebellum L/R”
plaincorrelational- Asserted: passes — The authors put it forward as true.
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In the paper
“-4 | 20 | 66 | 6.46 | 2681 | Frontal mid/sup/sup med L”
plaincorrelational- 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
“26 | -64 | 18 | 7.60 | 6071 | Amygdala R”
plaincorrelational- 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
“-16 | -19 | 5 | 5.70 | 626 | Thalamus (lateral nuclei) L”
plaincorrelational- 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
“-36 | -16 | 22 | 6.68 | 3747 | Amygdala L”
plaincorrelational- Asserted: passes — The authors put it forward as true.
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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
“-16 | -16 | 8 | 5.83 | 145 | Thalamus (lateral nuclei) L”
plaincorrelational- 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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The quote only partly states this claim.
In the paper
“Our results support the developmental theory which postulates that the first regions to emerge phylogenetically and ontogenetically are the most resistant to age effects, and the last ones the most vulnerable.”
- Also stated in: § 4. Discussion · p. 13 · plain
“From an evolutionary perspective, our structural findings support the 'developmental hypothesis' postulated by Grieve et al. [31] to account for structural changes in normal aging.”
What the sources say
- Not checked yetcites Grieve et al. [31] Grieve, 2005, Preservation of limbic and paralimbic structures in aging, Hum. Brain Mapp. source
plaincorrelationaln = 45- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
- Also stated in: § 4. Discussion · p. 13 · plain
None of the sources cited for this claim have been checked yet.
In the paper
“Overall, the literature consistently reports global brain atrophy in normal adults, generally more pronounced in frontal areas (for a review, [63]), often followed by parietal, temporal and insular gray matter (GM) loss [1,2,29,31,70,81,87].”
What the sources say
- Not checked yetcites [63] Raz, 2001, Ageing and the brain
- Not checked yetcites [1] Abe, 2006, Aging in the CNS: comparison of gray/white matter volume and diffusion tensor data, Neurobiol. Aging
- Not checked yetcites [2] Allen, 2005, Normal neuroanatomical variation due to age: the major lobes and a parcellation of the temporal region, Neurobiol. Aging source
- Not checked yetcites [29] Good, 2001, A voxel-based morphometric study of aging in 465 normal adult human brains, Neuroimage source
- Not checked yetcites [31] Grieve, 2005, Preservation of limbic and paralimbic structures in aging, Hum. Brain Mapp. source
- Not checked yetcites [70] Resnick, 2000, One-year age changes in MRI brain volumes in older adults, Cereb. Cortex source
- Not checked yetcites [81] Tisserand, 2004, A voxel-based morphometric study to determine individual differences in gray matter density associated with age and cognitive change over time, Cereb. Cortex source
- Not checked yetcites [87] Yanase, 2005, Brain FDG PET study of normal aging in Japanese: effect of atrophy correction, Eur. J. Nucl. Med. Mol. Imaging source
boostedcorrelational- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“With age, the brain undergoes structural and functional deterioration, which is thought to be responsible for the reported cognitive decline [3,62,47].”
What the sources say
hedgedconditional- 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.
Probably not a substantial claim. It may state two separate claims as one.
In the paper
“These authors, using ROI analyses (including frontal lobe, hippocampal and parahippocampal areas) by decades, found that the frontal cortex volume declined linearly and had the strongest age association, whereas the hippocampal volume remained steady until about 60 years of age, while thereafter its volume began to rapidly decline.”
What the sources say
- Not checked yetcites Allen et al. [2] Allen, 2005, Normal neuroanatomical variation due to age: the major lobes and a parcellation of the temporal region, Neurobiol. Aging source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- 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. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Authors have systematically reported GM loss in the frontal lobe with aging [1,29,31,37,38,81,84,87], also affecting the insula, Heschl gyrus, anterior cingulate cortex, sensorimotor areas and cerebellum.”
What the sources say
- Not checked yetcites [1] Abe, 2006, Aging in the CNS: comparison of gray/white matter volume and diffusion tensor data, Neurobiol. Aging
- Not checked yetcites [29] Good, 2001, A voxel-based morphometric study of aging in 465 normal adult human brains, Neuroimage source
- Not checked yetcites [31] Grieve, 2005, Preservation of limbic and paralimbic structures in aging, Hum. Brain Mapp. source
- Not checked yetcites [37] Lehmbeck, 2006, Combining voxel-based morphometry and diffusion tensor imaging to detect age-related brain changes, Neuroreport source
- Not checked yetcites [38] Lemaître, 2005, Age- and sex-related effects on the neuroanatomy of healthy elderly, Neuroimage source
- Not checked yetcites [81] Tisserand, 2004, A voxel-based morphometric study to determine individual differences in gray matter density associated with age and cognitive change over time, Cereb. Cortex source
- Not checked yetcites [84] Van Laere, 2001, Brain perfusion SPECT: age- and sex-related effects correlated with voxel-based morphometric findings in healthy adults, Radiology source
- Not checked yetcites [87] Yanase, 2005, Brain FDG PET study of normal aging in Japanese: effect of atrophy correction, Eur. J. Nucl. Med. Mol. Imaging source
plaindirect- 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.
None of the sources cited for this claim have been checked yet.
In the paper
“All these studies being considered together, the occipital and posterior cingulate cortices, cerebellum, thalamus, basal ganglia and limbic structures have been reported to be the least altered. However, many contradictory results preclude any firm conclusion, given that decreased metabolism has been found in the limbic areas [42], basal ganglia [32], or posterior cingulate cortex [89].”
What the sources say
- Not checked yetcites [32] Herholz, 2002, Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET, Neuroimage source
- Not checked yetcites [49] Moeller, 1996, The metabolic topography of normal aging, J. Cereb. Blood Flow Metab. source
- Not checked yetcites [58] Petit-Taboué, 1998, Effects of healthy aging on the regional cerebral metabolic rate of glucose assessed with statistical parametric mapping, Neuroimage source
- Not checked yetcites [86] Willis, 2002, Age, sex and laterality effects on cerebral glucose metabolism in healthy adults, Psychiatry Res. (Neuroimaging) source
- Not checked yetcites [42] Martin, 1991, Decreases in regional cerebral blood flow with normal aging, J. Cereb. Blood Flow Metab. source
- Not checked yetcites [89] Zuendorf, 2003, Efficient principal component analysis for multivariate 3D voxel-based mapping of brain functional imaging data sets as applied to FDG-PET and normal aging, Hum. Brain Mapp. source
hedged- 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. 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 these analyses were performed using a statistical threshold of p<.01 FDR, corrected for multiple comparisons, with a minimum cluster size k=20.”
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.
None of the sources cited for this claim have been checked yet.
In the paper
“Also, using the former method, the hippocampal head was found to be more resilient to the normal aging process than the hippocampal tail [24,64], whereas in contrast a substantial decrease in anterior hippocampal volume has been observed in Alzheimer's disease [4,43,64].”
What the sources say
- Not checked yetcites [24] Driscoll, 2003, The aging hippocampus: cognitive, biochemical and structural findings, Cereb. Cortex source
- Not checked yetcites [64] Raz, 2000, Aging of the brain and its impact on cognitive performance: integration of structural and functional findings
- Not checked yetcites [4] Baron, 2001, In vivo mapping of gray matter loss with voxel-based morphometry in mild Alzheimer's disease, Neuroimage source
- Not checked yetcites [43] Matsuda, 2002, Longitudinal evaluation of both morphologic and functional changes in the same individuals with Alzheimer's disease, J. Nucl. Med.
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
“PVE correction (PVEc) was performed very recently in two PET studies, providing the most reliable results in this field so far [33,87].”
What the sources say
- Not checked yetcites [33] Ibanez, 2004, Resting state glucose metabolism is not reduced in normotensive healthy men during aging, after correction for brain atrophy, Brain Res. Bull. source
- Not checked yetcites [87] Yanase, 2005, Brain FDG PET study of normal aging in Japanese: effect of atrophy correction, Eur. J. Nucl. Med. Mol. Imaging source
boosted- 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. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“PET data were first corrected for PVE . We used an optimized voxel-based technique, originally devised by Müller-Gärtner et al. [52], and modified slightly by Rousset et al. [72].”
What the sources say
- Not checked yetcites Müller-Gärtner et al. [52] Müller-Gärtner, 1992, Measurement of radiotracer concentration in brain gray matter using positron emission tomography: MRI-based correction for partial volume effects, J. Cereb. Blood Flow Metab. source
- Not checked yetcites Rousset et al. [72] Rousset, 1998, Correction for partial volume effects in PET: principle and validation, J. Nucl. Med.
- Not checked yetcites Quarantelli et al. [61] Quarantelli, 2004, Integrated software for the analysis of brain PET/SPECT studies with partial-volume-effect correction, J. Nucl. Med.
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim.
In the paper
“The authors report that only the right precentral gyrus remained relatively intact across age in men, as opposed to the left superior temporal and postcentral areas in women; they did not report data for the group as a whole.”
What the sources say
- Not checked yetcites [87] Yanase, 2005, Brain FDG PET study of normal aging in Japanese: effect of atrophy correction, Eur. J. Nucl. Med. Mol. Imaging source
plaincorrelational- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Since this structure and adjacent areas are deteriorated first and foremost in Alzheimer's disease [4,19,36], differentiating the mesial temporal GM evolution in normal and pathological aging constitutes a key issue.”
What the sources say
- Not checked yetcites [4] Baron, 2001, In vivo mapping of gray matter loss with voxel-based morphometry in mild Alzheimer's disease, Neuroimage source
- Not checked yetcites [19] Delacourte, 1999, The biochemical pathway of neurofibrillary degeneration in aging and Alzheimer's disease, Neurology source
- Not checked yetcites [36] Kantarci, 2003, Neuroimaging in Alzheimer disease: an evidence-based review, Neuroimaging Clin. N. Am. source
plaindirect- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“Most have revealed prominent GM loss in prefrontal regions [40,59,65,71,76] with smaller but significant decline in other regions, notably in mesial temporal areas.”
What the sources say
- Not checked yetcites [40] Liu, 2003, A longitudinal study of brain morphometrics using quantitative magnetic resonance imaging and difference image analysis, Neuroimage source
- Not checked yetcites [59] Pfefferbaum, 1998, A controlled study of cortical gray matter and ventricular changes in alcoholic men over a 5-year interval, Arch. Gen. Psychiatry source
- Not checked yetcites [65] Raz, 2005, Regional brain changes in aging healthy adults: general trends, individual differences and modifiers, Cereb. Cortex source
- Not checked yetcites [71] Rettmann, 2006, Cross-sectional and longitudinal analyses of anatomical sulcal changes associated with aging, Cereb. Cortex source
- Not checked yetcites [76] Scahill, 2003, A longitudinal study of brain volume changes in normal aging using serial registered magnetic resonance imaging, Arch. Neurol. source
plaincorrelational- 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.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“This discrepancy may result from the samples selected in these studies. Thus, preservation of the hippocampus was found when the sample covered a large life span (17-79 years in Good et al. [29] and 8-79 in Grieve et al. [31]), whereas atrophy was observed when age effects were evaluated within older samples, i.e. 50 or 60 years and over ([38,70,81, but see [84]).”
What the sources say
- Not checked yetcites [29] Good, 2001, A voxel-based morphometric study of aging in 465 normal adult human brains, Neuroimage source
- Not checked yetcites [31] Grieve, 2005, Preservation of limbic and paralimbic structures in aging, Hum. Brain Mapp. source
- Not checked yetcites [38] Lemaître, 2005, Age- and sex-related effects on the neuroanatomy of healthy elderly, Neuroimage source
- Not checked yetcites [70] Resnick, 2000, One-year age changes in MRI brain volumes in older adults, Cereb. Cortex source
- Not checked yetcites [81] Tisserand, 2004, A voxel-based morphometric study to determine individual differences in gray matter density associated with age and cognitive change over time, Cereb. Cortex source
hedgedconditional- 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.
None of the sources cited for this claim have been checked yet.
In the paper
“The authors showed prominent atrophy of the prefrontal cortex, and relative sparing of the temporal and parahippocampal cortices, corroborating several previous volumetric findings (see also [68]).”
What the sources say
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“They showed that the variance of hippocampal volume was not different in young and older adults, and they gave an interesting discussion about the large hippocampal volume inter-individual variability they observed in young healthy subjects.”
What the sources say
- Not checked yetcites [41] Lupien, 2007, Hippocampal volume is as variable in young as in older adults: implications for the notion of hippocampal atrophy in humans, Neuroimage source
plain- 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
“Ibanez et al. [33] failed to find any remaining hypometabolic areas after PVEc. However, differences in the population and statistics they selected may have induced a loss of statistical power in their study, as they have compared two small groups (young vs. older groups), rather than correlating PET data and age across the whole sample.”
What the sources say
- Not checked yetcites Ibanez et al. [33] Ibanez, 2004, Resting state glucose metabolism is not reduced in normotensive healthy men during aging, after correction for brain atrophy, Brain Res. Bull. source
hedgedconditional- 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.
In the paper
“According to 18 FDG-PET studies of the postnatal maturation of the brain [16], the newborn period is characterized by a high metabolic rate in the mesial temporal region, cerebellar vermis, thalamus, basal ganglia, cingulate cortex and sensorimotor cortex. At three months, glucose metabolism increases in the parietal, occipital and temporal cortices. Frontal glucose consumption begins to increase”
What the sources say
- Not checked yetcites [16] Chugani, 1998, A critical period of brain development: studies of cerebral glucose utilization with PET, Prev. Med. source
plaindirect- 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.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Thus, our findings support the idea that episodic memory deficits associated with normal aging reflect above all a failure to implement an efficient strategy in the retrieval of episodic information, with encoding and ecphoric processes being relatively unaffected.”
What the sources say
- Not checked yetcites [11] Cabeza, 2000, Imaging cognition II: an empirical review of 275 PET and fMRI studies, J. Cogn. Neurosci. source
- Not checked yetcites [20] Desgranges, 1998, The functional neuroanatomy of episodic memory: the role of the frontal lobes, the hippocampal formation, and other areas, Neuroimage source
- Not checked yetcites [22] Desgranges, 2002, The neural basis of intrusions in free recall and cued recall: a PET study in Alzheimer's disease, Neuroimage source
- Not checked yetcites [50] Morcom, 2003, Age effects on the neural correlates of successful memory encoding, Brain source
- Not checked yetcites [78] Schacter, 1996, The role of hippocampus and frontal cortex in age-related memory changes: a PET study, Neuroreport source
plaindirect- 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.
In the paper
“the SPM segmentation algorithm seems to be more particularly recommended for clinical data [88]”
What the sources say
- Not checked yetcites [88] Zaidi, 2006, Links comparative assessment of statistical brain MR image segmentation algorithms and their impact on partial volume correction in PET, Neuroimage source
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- 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. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
In the paper
“According to this model, the rostral portion of the hippocampus is particularly heavily involved in encoding processes, whereas its caudal portion is mainly involved in retrieval processes.”
What the sources say
- Not checked yetcites [39] Lepage, 1998, PET activations of memory encoding and retrieval: the HIPER model, Hippocampus source
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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Probably not a substantial claim. It may state two separate claims as one.
In the paper
“From an evolutionary perspective, our structural findings support the 'developmental hypothesis' postulated by Grieve et al. [31] to account for structural changes in normal aging. This hypothesis stipulates that the first structures to neurally develop are the most resistant to aging effects, whereas those that emerge during the latter stages of development are the first to deteriorate.”
What the sources say
- Not checked yetcites Grieve et al. [31] Grieve, 2005, Preservation of limbic and paralimbic structures in aging, Hum. Brain Mapp. source
plaindirect- 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.
None of the sources cited for this claim have been checked yet.
In the paper
“An increasing number of studies have consistently showed that this structure is the most metabolically impaired region in prodromal Alzheimer's disease [15,53]”
What the sources say
- Not checked yetcites [15] Chételat, 2003, Dissociating atrophy and hypometabolism impact on episodic memory in mild cognitive impairment, Brain source
- Not checked yetcites [53] Nestor, 2003, Retrosplenial cortex (BA29/30) hypometabolism in mild cognitive impairment (prodromal Alzheimer's disease), Eur. J. Neurosci. source
boosted- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- 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.
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
“suggesting that the SPM findings are robust and not due to spatial normalization errors.”
hedged- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
In the paper
“The hippocampal volume increases in children [82], until in the young adult, then remains relatively stable until the late 60's when it begins to decline (see introduction), giving rise to a curvilinear function.”
What the sources say
- Not checked yetcites [82] Toga, 2006, Mapping brain maturation, Trends Neurosci. source
plaindirect- 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
“Although there is no given segmentation or PVE correction algorithms providing the best results under all conditions”
What the sources say
- Not checked yetcites [61] Quarantelli, 2004, Integrated software for the analysis of brain PET/SPECT studies with partial-volume-effect correction, J. Nucl. Med.
- Not checked yetcites [74] Rousset, 2005, Correction for partial volume effects in emission tomography
- Not checked yetcites [88] Zaidi, 2006, Links comparative assessment of statistical brain MR image segmentation algorithms and their impact on partial volume correction in PET, Neuroimage source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- 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.
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
“Secondly, we note the remote possibility of age effects on intrinsic MR signal and contrast.”
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. The paper may give no reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“Previous studies have yielded discrepant results regarding these structures, reporting either 'preservation' [49,58,86], or alteration (before PVEc [33], see also [32]).”
What the sources say
- Not checked yetcites [49] Moeller, 1996, The metabolic topography of normal aging, J. Cereb. Blood Flow Metab. source
- Not checked yetcites [58] Petit-Taboué, 1998, Effects of healthy aging on the regional cerebral metabolic rate of glucose assessed with statistical parametric mapping, Neuroimage source
- Not checked yetcites [86] Willis, 2002, Age, sex and laterality effects on cerebral glucose metabolism in healthy adults, Psychiatry Res. (Neuroimaging) source
- Not checked yetcites [33] Ibanez, 2004, Resting state glucose metabolism is not reduced in normotensive healthy men during aging, after correction for brain atrophy, Brain Res. Bull. source
- Not checked yetcites [32] Herholz, 2002, Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET, Neuroimage source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- 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.
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
“we can consider that we have done our best to reduce (although not totally exclude) the risk of realignment and segmentation errors.”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
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- Based: passes — The paper gives a reason why it holds.
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
“considering the fact that coregistration and segmentation have been individually checked for accuracy”
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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Probably not a substantial claim.
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
“Because the absolute values have been divided by the global mean in these analyses, the decrease of the global mean induced an increase of the relative values with age, indicating that the highlighted regions were those that undergo the least age-related GM loss and decreased 18 FDG uptake.”
hedgeddirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
In the paper
“It is well-known that in prodromal Alzheimer's disease, the hippocampus is the first to become atrophic [14]”
What the sources say
- Not checked yetcites [14] Chételat, 2002, Mapping gray matter loss with voxel-based morphometry in mild cognitive impairment, Neuroreport source
boosted- 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.
Probably not a substantial claim.
In the paper
“the modified Müller-Gärtner PVE correction algorithm seems to be the most accurate voxel-based method, and the least dependent on segmentation errors [61]”
What the sources say
- Not checked yetcites [61] Quarantelli, 2004, Integrated software for the analysis of brain PET/SPECT studies with partial-volume-effect correction, J. Nucl. Med.
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- 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. It may state two separate claims as one.
The paper relies on this without support.
No prior study has assessed both structural and functional deterioration and relative preservation in normal aging in the same sample using voxel-based analyses, optimized VBM and PVEc.
“To our knowledge, no study has assessed both structural and functional deterioration and relative preservation in normal aging in the same sample and using up-to-date methodology, i.e. voxel-based analyses, the optimized-VBM procedure and PVEc.”
The paper relies on this without support.
Cross-sectional age-related differences in brain structure and metabolism reflect true aging effects rather than cohort effects.
“Forty-five healthy subjects aged between 20 and 83 years (mean: 49.4 ± 18 years, 24 females and 21 males) were selected according to stringent prospective inclusion/exclusion criteria.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Regional reductions in brain glucose utilization occur with aging and to a greater extent in MCI and AD [185-193].”
From The Alzheimer’s disease mitochondrial cascade hypothesis: progress and perspectives (2014) · cites this paper as [189]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
§ Legends · p. 31
“the absolute GM loss in the frontal cortex (peak coordinates [x; y; z] ↔ [49; 13; 47]; r = .64)”
§ 2.4. MRI and PET data analyses · p. 9
“we assessed negative correlations between age and absolute GM volume to obtain absolute age-related GM volume loss”
Citations
Cites
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
Imaging Cognition II: An Empirical Review of 275 PET and fMRI Studies
Cabeza, R., & Nyberg, L. (2000) · Journal of Cognitive Neuroscience · doi:10.1162/08989290051137585 · Cited by 3,598
Regional Brain Changes in Aging Healthy Adults: General Trends, Individual Differences and Modifiers
Raz, N., Lindenberger, U., Rodrigue, K. M., Kennedy, K. M., Head, D., Williamson, A., Dahle, C., Gerstorf, D., & Acker, J. D. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi044 · Cited by 2,875
Hemispheric asymmetry reduction in older adults: the HAROLD model
Cabeza, R. (2002) · Psychology and Aging · doi:10.1037/0882-7974.17.1.85 · Cited by 2,125
The handbook of aging and cognition
Craik, F. I. M., & Salthouse, T. A. (1992) · doi:10.4324/9781410601988 · Cited by 2,064
Hemispheric asymmetry reduction in older adults: The HAROLD model.
Cabeza, R. E. L. (2002) · Psychology and Aging · doi:10.1037//0882-7974.17.1.85 · Cited by 2,054
Thinning of the Cerebral Cortex in Aging
Salat, D. H. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh032 · Cited by 1,851
Hemispheric encoding/retrieval asymmetry in episodic memory: positron emission tomography findings.
Tulving, E., Kapur, S., Craik, F. I. M., Moscovitch, M., & Houle, S. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.6.2016 · Cited by 1,621
Memory and Executive Function in Aging and AD
Buckner, R. L. (2004) · Neuron · doi:10.1016/j.neuron.2004.09.006 · Cited by 1,508
Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain
Resnick, S. M., Pham, D. L., Kraut, M. A., Zonderman, A. B., & Davatzikos, C. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-08-03295.2003 · Cited by 1,425
Research works printed but not linked: 2
- Cardebat, 1990, Evocation lexicale formelle et sémantique chez des sujets normaux: performances et dynamiques de production en fonction du sexe, de l’âge et du niveau d’étude, Acta Neurol. Belg., 90, 207
- Eustache, 1998, L’évaluation clinique de la mémoire. Revue Neurologique (Paris), 154, 18
Cited by
Sorted by citations
Structural Brain Changes in Aging: Courses, Causes and Cognitive Consequences
Fjell, A. M., & Walhovd, K. B. (2010) · Reviews in the Neurosciences · doi:10.1515/revneuro.2010.21.3.187 · Cited by 1,158
“Effects All eight studies found reductions in caudate [23, 24, 32, 43, 55-60], and significant effects in four of the five samples in the multi-sample study [19].”
BackgroundResultThe Alzheimer’s disease mitochondrial cascade hypothesis: progress and perspectives
Swerdlow, R. H., Burns, J. M., & Khan, S. M. (2014) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2013.09.010 · Cited by 786
Brain-Derived Neurotrophic Factor in Brain Disorders: Focus on Neuroinflammation
Lima Giacobbo, B., Doorduin, J., Klein, H. C., Dierckx, R. A. J. O., Bromberg, E., & de Vries, E. F. J. (2019) · Molecular Neurobiology · doi:10.1007/s12035-018-1283-6 · Cited by 750
High Consistency of Regional Cortical Thinning in Aging across Multiple Samples
Fjell, A. M., Westlye, L. T., Amlien, I. K., Espeseth, T., Reinvang, I., Raz, N., Agartz, I., Salat, D. H., Greve, D. N., Fischl, B. R., et al. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn232 · Cited by 746
“temporal cortex have also been observed (Kalpouzos et al. 2008).”
BackgroundResultInfluentialBrain fuel metabolism, aging, and Alzheimer’s disease
Cunnane, S. C., Nugent, S., Roy, M., Courchesne‐Loyer, A., Croteau, É., Tremblay, S., Castellano, A., Pifferi, F., Bocti, C., Paquet, N., et al. (2010) · Nutrition · doi:10.1016/j.nut.2010.07.021 · Cited by 633
“Even those who report that healthy aging is accompanied by declining brain metabolism [204,205] describe a pattern of brain hypometabolism in healthy aging that is distinct from what is observed in AD.”
ResultAging and functional brain networks
Tomasi, D., & Volkow, N. D. (2012) · Molecular Psychiatry · doi:10.1038/mp.2011.81 · Cited by 578
Resting-state functional connectivity in normal brain aging
Ferreira, L. K., & Busatto, G. F. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.01.017 · Cited by 631
Lemaître, H., Goldman, A. L., Sambataro, F., Verchinski, B. A., Meyer‐Lindenberg, A., Weinberger, D. R., & Mattay, V. S. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.07.013 · Cited by 573
“…techniques, such as ROI (Jernigan et al., 2001; Raz et al., 1997; Walhovd et al., 2005) and VBM analysis (Good et al., 2001; Grieve et al., 2005; Kalpouzos et al., 2007), and more recently through surface-based measures, such as thickness (Fjell et al., 2006; Salat et al., 2004), surface area…”
BackgroundMethodNeuroimaging of language control in bilinguals: neural adaptation and reserve
Abutalebi, J., & Green, D. W. (2016) · Bilingualism Language and Cognition · doi:10.1017/s1366728916000225 · Cited by 579
Estrogen: A master regulator of bioenergetic systems in the brain and body
Rettberg, J. R., Yao, J., & Brinton, R. D. (2014) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2013.08.001 · Cited by 534
“In normal aging, CMRglu declines with age, with the most significant declines occurring in the prefrontal cortex (Chetelat et al., 2013; Kalpouzos et al., 2009; Pardo et al., 2007).”
Perez Ortiz, J. M., & Swerdlow, R. H. (2019) · British Journal of Pharmacology · doi:10.1111/bph.14585 · Cited by 426
“The aging brain features decreased energy utilization, including decreased glucose utilization (Chételat et al., 2013; De Santi et al., 1995; Kalpouzos et al., 2009; Marano et al., 2013; Willis et al., 2002) and decreased respiratory capacity (Navarro & Boveris, 2007).”
BackgroundNeuroanatomical substrates of age-related cognitive decline.
Salthouse, T. A. (2011) · Psychological Bulletin · doi:10.1037/a0023262 · Cited by 410
“…Zheng, Goh, & Park, 2011; DeCarli, Massaro, et al., 2005; Fjell & Walhovd, 2010; Fjell et al., 2010; Gonoi et al., 2010; Jernigan et al., 2001; Kalpouzos et al., 2009; Kennedy, Erickson, et al., 2009; Lemaitre et al., 2010; Raz et al., 2005; Sowell et al., 2003; Tisserand et al., 2002;…”
BackgroundMethodInfluentialBrain PET in the Diagnosis of Alzheimer’s Disease
Marcus, C. V., Mena, E., & Subramaniam, R. M. (2014) · Clinical Nuclear Medicine · doi:10.1097/rlu.0000000000000547 · Cited by 405
“The regions that show the least changes in glucose metabolism with aging are the bilateral medial temporal lobes, putamen, pallidum, lateral thalamic nuclei, right posterior cingulate cortex, precuneus, and both sides of the occipitotemporal cortex.(23)”
Mosconi, L. (2013) · Clinical and Translational Imaging · doi:10.1007/s40336-013-0026-y · Cited by 328
“Relative preservation of the PCC and hippocampal regions was proposed as the parting of the ways between normal aging and AD, as the latter is characterized by early and prominent deterioration of both structures [92].”
BackgroundFish, docosahexaenoic acid and Alzheimer’s disease
Cunnane, S. C., Plourde, M., Pifferi, F., Bégin, M. E., Féart, C., & Barberger‐Gateau, P. (2009) · Progress in Lipid Research · doi:10.1016/j.plipres.2009.04.001 · Cited by 336
“During healthy aging, brain glucose uptake decreases significantly in specific cortical regions [170], an effect that is more pronounced in the elderly with deteriorating cognitive function such as AD [171].”
BackgroundGreve, D. N., Salat, D. H., Bowen, S., Izquierdo‐Garcia, D., Schultz, A. P., Catana, C., Becker, J. A., Svarer, C., Knudsen, G. M., Sperling, R. A., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.042 · Cited by 312
Age-related changes in leg proprioception: implications for postural control
Henry, M., & Baudry, S. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00067.2019 · Cited by 313
“Efficient integration of different sensory inputs in the brain might be compromised because of age-related declines in white (Abe et al. 2002; Sullivan and Pfefferbaum 2006) and gray (Good et al. 2001; Kalpouzos et al. 2009) matter integrity.”
Background13 C MRS studies of neuroenergetics and neurotransmitter cycling in humans
Rothman, D. L., De Feyter, H. M., de Graaf, R. A., Mason, G. F., & Behar, K. L. (2011) · NMR in Biomedicine · doi:10.1002/nbm.1772 · Cited by 290
Cortical surface-based analysis reduces bias and variance in kinetic modeling of brain PET data
Greve, D. N., Svarer, C., Fisher, P. M., Feng, L., Hansen, A. E., Baare, W., Rosen, B., Fischl, B., & Knudsen, G. M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.021 · Cited by 264
“Kalpouzos et al., 2009a 14 mm 50% c FDG ECAT Exact HR+ 12 mm Kalpouzos et al., 2009b 14 mm 50% c FDG ECAT Exact HR+ 12 mm Bourgeat et al., 2010 12 mm ? c 11 C-PIB Allegro ?”
Alzheimer’s Disease: An Update and Insights Into Pathophysiology
Abubakar, M. B., Sanusi, K. O., Ugusman, A., Mohamed, W. M. Y., Kamal, H., Ibrahim, N. H., Khoo, C. S., & Kumar, J. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.742408 · Cited by 302
The Affective Neuroscience of Aging
Mather, M. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-122414-033540 · Cited by 305
“F or p er so na l u se o nl y. PS67CH09-Mather ARI 14 November 2015 11:59 2005, Kalpouzos et al. 2009, Long et al. 2012), whereas others show notable negative associations between amygdala volume and age (Allen et al. 2005b, Curiati et al. 2009, Fjell et al. 2013b, Mu et al. 1999, Walhovd et al.…”
Acoustic Enhancement of Sleep Slow Oscillations and Concomitant Memory Improvement in Older Adults
Papalambros, N. A., Santostasi, G., Malkani, R. G., Braun, R., Weintraub, S., Paller, K. A., & Zee, P. C. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00109 · Cited by 259
“Part of the complexity may stem from age-dependent structural and functional alterations to the frontal cortex (Kalpouzos et al., 2009) that have shown to mediate the link between SWA and memory in older populations (Mander et al., 2013b).”
BackgroundInfluentialCunnane, S. C., Courchesne‐Loyer, A., St‐Pierre, V., Vandenberghe, C., Pierotti, T., Fortier, M., Croteau, E., & Castellano, C. (2016) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12999 · Cited by 250
Bakkour, A., Morris, J. C., Wolk, D. A., & Dickerson, B. C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.059 · Cited by 251
“…lateral parietal, and sensorimotor regions (Allen et al., 2002, 2005; Brickman et al., 2007; Fjell et al., 2009b; Jernigan et al., 1991b, 2001; Kalpouzos et al., 2009; Raz et al., 1997, 1998, 2004, 2005; Resnick et al., 2003; Salat et al., 2004; Taki et al., 2004; Tisserand et al., 2002;…”
BackgroundBilingualism provides a neural reserve for aging populations
Abutalebi, J., Guidi, L., Borsa, V. M., Canini, M., Rosa, P. A. D., Parris, B. A., & Weekes, B. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.01.040 · Cited by 255
Boumezbeur, F., Mason, G. F., de Graaf, R. A., Behar, K. L., Cline, G. W., Shulman, G. I., Rothman, D. L., & Petersen, K. F. (2009) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2009.197 · Cited by 238
“Studies using positron emission tomography (PET) have shown decreases in brain glucose metabolism associated with aging (Salat et al, 2004; Kalpouzos et al, 2009), but these may not be related to mitochondrial changes.”
BackgroundResultAge effects on different components of theory of mind
Duval, C., Piolino, P., Bejanin, A., Eustache, F., & Desgranges, B. (2010) · Consciousness and Cognition · doi:10.1016/j.concog.2010.10.025 · Cited by 267
Self-citationA combined neuropsychological and brain imaging study of obstructive sleep apnea
Yaouhi, K., Bertran, F., Clochon, P., Mézenge, F., Denise, P., Foret, J., Eustache, F., & Desgranges, B. (2009) · Journal of Sleep Research · doi:10.1111/j.1365-2869.2008.00705.x · Cited by 234
“…a customized template from both samples (patients and their controls), has proved to be effective in studies of several pathologies (Chételat et al., 2003; Desgranges et al., 2007; Mevel et al., 2007; Salmon et al., 2008; for a review) as well as of healthy aging (Kalpouzos et al., 2009).”
BackgroundSelf-citationBrain fluorodeoxyglucose (FDG) PET in dementia
Kato, T., Inui, Y., Nakamura, A., & Ito, K. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.02.003 · Cited by 236
Moving forward: Age effects on the cerebellum underlie cognitive and motor declines
Bernard, J. A., & Seidler, R. D. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.02.011 · Cited by 233
“However, across multiple studies, this cerebellar impact is in addition to widespread effects in the prefrontal cortex and motor cortical areas (Abe et al., 2008; Giorgio et al., 2010; Kalpouzos et al., 2009).”
BackgroundBrain FDG PET and the Diagnosis of Dementia
Shivamurthy, V. K. N., Tahari, A. K., Marcus, C., & Subramaniam, R. M. (2015) · American Journal of Roentgenology · doi:10.2214/ajr.13.12363 · Cited by 227
Cunnane, S. C., Courchesne‐Loyer, A., Vandenberghe, C., St‐Pierre, V., Fortier, M., Hennebelle, M., Croteau, É., Bocti, C., Fülöp, T., & Castellano, C. (2016) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2016.00053 · Cited by 224
Mitochondria, energy, and metabolism in neuronal health and disease
Trigo, D., Avelar, C., Fernandes, M., Sá, J., & Silva, O. A. B. D. C. E. (2022) · FEBS Letters · doi:10.1002/1873-3468.14298 · Cited by 225
Age-related gray matter volume changes in the brain during non-elderly adulthood
da Costa, D. T., Schaufelberger, M. S., Duran, F., Zanetti, M. V., Curiati, P. K., Menezes, P. R., Scazufca, M., Amaro, E., Leite, C. C., & Busatto, G. F. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.02.008 · Cited by 202
“In ddition, there have been relatively consistent reports of ageelated GM deficits in the insula, cerebellum, basal ganglia nd thalamus (Good et al., 2001; Taki et al., 2004; Grieve et l., 2005; Alexander et al., 2006; Kalpouzos et al., 2009; Abe t al., 2008).”
BackgroundInfluentialFerreira, L. K., Regina, A. C. B., Kovacevic, N., Martin, M. D. G. M., Santos, P. P., Carneiro, C. D. G., Kerr, D. S., Amaro, E., McIntosh, A. R., & Busatto, G. F. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv190 · Cited by 206
“Neurostructural and brain metabolism imaging studies have provided evidence supporting the idea that the later neurodevelopmental stages are mostly affected by the effects of aging (Grieve et al. 2005; Kalpouzos et al. 2009; Terribilli et al. 2011).”
BackgroundPiolino, P., Coste, C., Martinelli, P., Macé, A.-L., Quinette, P., Guillery‐Girard, B., & Belleville, S. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.09.035 · Cited by 215
“Nevertheless, current neuropsychological models propose that age-related cognitive changes culminate in a global decline in frontal lobe function (Kalpouzos et al., 2009;MacPherson et al., 2002; Moscovitch &Winocur, 1995; Rosen et al., 2002;West, 1996, 2000).”
BackgroundThe grey mouse lemur: A non-human primate model for ageing studies
Languille, S., Blanc, S., Blin, O. J., Canale, C. I., Dal‐Pan, A., Devau, G., Dhénain, M., Dorieux, O., Epelbaum, J., Gomez, D., et al. (2011) · Ageing Research Reviews · doi:10.1016/j.arr.2011.07.001 · Cited by 175
“uring normal ageing, cerebral atrophy occurs mainly in frontal egions of the brain (Raz et al., 2005; Kalpouzos et al., 2009) as ell as in the caudate (Raz et al.”
BackgroundWei, D., Zhuang, K., Ai, L., Chen, Q., Yang, W., Liu, W., Wang, K., Sun, J., & Qiu, J. (2018) · Scientific Data · doi:10.1038/sdata.2018.134 · Cited by 178
MRI morphometry in Alzheimer’s disease
Matsuda, H. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.01.003 · Cited by 177
Joie, R. L., Fouquet, M., Mézenge, F., Landeau, B., Villain, N., Mevel, K., Pèlerin, A., Eustache, F., Desgranges, B., & Chételat, G. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.024 · Cited by 179
Self-citationAccelerated cortical atrophy in cognitively normal elderly with high β-amyloid deposition
Chételat, G., Villemagne, V. L., Villain, N., Jones, G. R., Ellis, K. A., Ames, D. J., Martins, R. N., Masters, C. L., & Rowe, C. C. (2012) · Neurology · doi:10.1212/wnl.0b013e318246d67a · Cited by 176
Self-citationBilingualism, dementia, cognitive and neural reserve
Perani, D., & Abutalebi, J. (2015) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000267 · Cited by 180
“Again, it should be noted that the temporal poles, along with the orbitofrontal cortex, are among the first cortical areas that suffer from physiological aging-related brain atrophy [44], and the observation that the effects of bilingualism are most prominent in these regions very well fits in the framework that expla…”
BackgroundMorton, H., Kshirsagar, S., Orlov, E., Bunquin, L. E., Sawant, N. A., Boleng, L., George, M., Basu, T., Ramasubramanian, B., Pradeepkiran, J. A., et al. (2021) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2021.07.013 · Cited by 172
Borghammer, P., Chakravarty, M., Jonsdottir, K., Sato, N., Matsuda, H., Ito, K., Arahata, Y., Kato, T., & Gjedde, A. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0246-0 · Cited by 160
Bilingualism protects anterior temporal lobe integrity in aging
Abutalebi, J., Canini, M., Rosa, P. A. D., Sheung, L. P., Green, D. W., & Weekes, B. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.03.010 · Cited by 169
“…GMV decreases in the prefrontal cortex (Salat et al., 2004), superior parts of the temporal lobe (Allen et al., 2005; Fjell et al., 2009a; Kalpouzos et al., 2009), the TP shows decreases in GMV in crosssectional studies, especially in individuals affected by Alzheimer’s disease (AD)…”
BackgroundBerti (2014) · doi:10.1016/j.cpet.2013.10.006 · Cited by 152
Besson, F. L., La Joie, R., Doeuvre, L., Gaubert, M., Mezenge, F., Egret, S., Landeau, B., Barre, L., Abbas, A., Ibazizene, M., et al. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0150-15.2015 · Cited by 141
“…function performance (compared with the MRInegative HE), which fits both with the involvement of the prefrontal cortex (Stuss and Alexander, 2000; Koechlin and Summerfield, 2007) and the possible involvement of normal aging or FTD, both known to be associated with executive function deficits…”
BackgroundSelf-citationSalami, A., Eriksson, J., Nilsson, L., & Nyberg, L. H. (2011) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2011.09.001 · Cited by 161
MNESIS: Towards the Integration of Current Multisystem Models of Memory
Eustache, F., & Desgranges, B. (2008) · Neuropsychology Review · doi:10.1007/s11065-008-9052-3 · Cited by 187
“2003, 2005) as well in normal aging (Kalpouzos et al. 2007).”
Self-citationChételat, G., Fouquet, M., Kalpouzos, G., Denghien, I., De la Sayette, V., Viader, F., Mézenge, F., Landeau, B., Baron, J. C., Eustache, F., et al. (2008) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2007.11.037 · Cited by 143
Self-citationAlzheimer's Disease: The Role of Microglia in Brain Homeostasis and Proteopathy
Clayton, K. A., Enoo, A. A. V., & Ikezu, T. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00680 · Cited by 137
“, 2008), and reduction in glucose metabolism in various regions (Salmon et al., 2003; Kalpouzos et al., 2009; Hsieh, 2012).”
BackgroundHafkemeijer, A., Altmann‐Schneider, I., de Craen, A. J. M., Slagboom, P. E., van der Grond, J., & Rombouts, S. A. R. B. (2014) · Aging Cell · doi:10.1111/acel.12271 · Cited by 134
“Others have shown that the temporal areas, putamen, and cerebellum are less susceptible to agerelated differences in both gray matter volume and metabolism (Kalpouzos et al., 2009).”
BackgroundAge-Related Gray and White Matter Changes in Normal Adult Brains
Farokhian, F., Yang, C., Beheshti, I., Matsuda, H., & Wu, S. (2017) · Aging and Disease · doi:10.14336/ad.2017.0502 · Cited by 126
“Our results are also in agreement with other studies that demonstrated a preservation of the GM volume in specific structures (such as limbic and paralimbic brain structures) over the aging process[29, 31-33].”
ResultExploration of scanning effects in multi-site structural MRI studies
Chen, J., Liu, J., Calhoun, V. D., Vásquez, A. A., Zwiers, M. P., Gupta, C. N., Franke, B., & Turner, J. A. (2014) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.04.023 · Cited by 125
“This pre-regression was done to avoid SBM majorly capturing age- and sex-driven components, which might account for a large amount of variance in the data given their known roles in gray matter changes (Good et al., 2001; Kalpouzos et al., 2009; Luders et al., 2005; Sowell et al., 2003).”
MethodBarberger‐Gateau, P., Samieri, C., Féart, C., & Plourde, M. (2011) · Current Alzheimer Research · doi:10.2174/156720511796391926 · Cited by 133
“2 Glucose metabolism During healthy aging, brain glucose uptake may decrease significantly in specific cortical regions [107], an effect that may be more pronounced in the elderly with deteriorating cognitive function such as AD [108].”
BackgroundGlutamate-glutamine and GABA in brain of normal aged and patients with cognitive impairment
Huang, D., Liu, D., Yin, J., Qian, T., Shrestha, S., & Ni, H. (2016) · European Radiology · doi:10.1007/s00330-016-4669-8 · Cited by 127
“The reasons behind selecting ACC but not the posterior cingulate cortex in the current study are as follows: for AD and MCI, ACC is also the important location involved in the progress of the diseases [19, 20]; also, many previous studies have shown that the prefrontal cortex is more sensitive to age effects than othe…”
ResultKnopman, D. S., Jack, C. R., Wiste, H. J., Lundt, E. S., Weigand, S. D., Vemuri, P., Lowe, V. J., Kantarci, K., Gunter, J. L., Senjem, M. L., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.03.006 · Cited by 128
“Most subsequent studies but not all (Kalpouzos et al., 2009) claimed that declines in glucose metabolism over the adult age spectrum were abolished by partial volume correction (Ibanez et al.”
BackgroundResultInfluentialHippocampal region-specific contributions to memory performance in normal elderly
Chen, K. H. M., Chuah, L. Y. M., Sim, S. K. Y., & Chee, M. W. L. (2009) · Brain and Cognition · doi:10.1016/j.bandc.2009.11.007 · Cited by 135
“, 1997) but not other studies (Kalpouzos et al., 2009; Malykhin, Bouchard, Camicioli, & Coupland, 2008) on healthy elderly.”
Schaller, B., Xin, L., O’Brien, K., Magill, A. W., & Rolf Gruetter, A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.02.016 · Cited by 119
“…human and animal studies suggest that the mismatch ratio and general glucose metabolism may depend on many criteria such as: age of the subject (Kalpouzos et al., 2009; Nelhig, 1997), brain regions , methodology, stimulus frequency (Vafaee and Gjedde, 2000; Vafaee et al., 1999) and duration…”
Boraxbekk, C., Salami, A., Wåhlin, A., & Nyberg, L. H. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.12.010 · Cited by 127
“Across a range of neurological and psychiatric disorders, the PCC is repeatedly found to be structurally and functionally abnormal (Leech and Sharp, 2013), and successful aging is associated with spared PCC volume (Kalpouzos et al., 2009; Mann et al., 2011).”
(2013) · Europe PMC (PubMed Central) · Cited by 129
Malpetti, M., Ballarini, T., Presotto, L., Garibotto, V., Tettamanti, M., Perani, D., Initiative, A. D. N., & Network for Efficiency and Standardization of Dementia Diagnosis (NEST‐DD) database (2017) · Human Brain Mapping · doi:10.1002/hbm.23659 · Cited by 128
Neural correlates of pair-bonding in a monogamous primate
Bales, K. L., Mason, W. A., Catana, C., Cherry, S. R., & Mendoza, S. P. (2007) · Brain Research · doi:10.1016/j.brainres.2007.09.087 · Cited by 112
“027), an effect that is opposite to that you would expect based on normal changes in brain metabolism with age reported in the human imaging literature (Martin et al., 1991;Takada et al., 1992; Burns and Tyrrell, 1992;Zuendorf et al., 2003;Beason-Held et al., 2006;Kalpouzos et al., 2007).”
ResultBoussion, N., Rest, C. C. L., Hatt, M., & Visvikis, D. (2009) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-009-1065-5 · Cited by 116
“Most of them are based on the use of a priori information provided either by MRI or CT, and remain, even in recent works, restricted to cerebral applications [1–4].”
BackgroundBrain glucose and acetoacetate metabolism: a comparison of young and older adults
Nugent, S., Tremblay, S., Chen, K. W., Ayutyanont, N., Roontiva, A., Castellano, C., Fortier, M., Roy, M., Courchesne‐Loyer, A., Bocti, C., et al. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.11.027 · Cited by 113
“However, after correction for partial volume effects (PVE) mainly because of regional brain atrophy with age, either FDG uptake is no longer significantly different (Curiati et al., 2011; Ibanez et al., 2004; Yanase et al., 2005), or the only region inwhich FDG uptake remains significantly lower is in the frontal cort…”
BackgroundResultInfluentialHashimoto, M., & Hossain, S. (2011) · Journal of Pharmacological Sciences · doi:10.1254/jphs.10r33fm · Cited by 113
The pyruvate dehydrogenase complex as a therapeutic target for age‐related diseases
Stacpoole, P. W. (2012) · Aging Cell · doi:10.1111/j.1474-9726.2012.00805.x · Cited by 107
“Brain glucose oxidation and oxygen consumption decline with aging (Martin et al., 1991; Kalpouzos et al., 2009).”
BackgroundImpaired decision-making and brain shrinkage in alcoholism
Berre, A. L., Rauchs, G., Joie, R. L., Mézenge, F., Boudehent, C., Vabret, F., Segobin, S. H., Viader, F., Allain, P., Eustache, F., et al. (2012) · European Psychiatry · doi:10.1016/j.eurpsy.2012.10.002 · Cited by 115
“Controls’ brain imaging data have been collected for previous studies carried out in our laboratory [33,34].”
MethodSelf-citationOh, H., Madison, C. M., Baker, S. L., Rabinovici, G. D., & Jagust, W. J. (2016) · Brain · doi:10.1093/brain/aww108 · Cited by 113
“…brain regions, particularly in prefrontal cortex by guest on M ay 30, 2016 http://brain.oxfordjournals.org/ D ow nloaded from (Mielke et al., 1998; Kalpouzos et al., 2009; Knopman et al., 2014), while metabolic rates are maintained in other regions, potentially indicating these regions’…”
BackgroundInfluentialLocal brain atrophy accounts for functional activity differences in normal aging
Kalpouzos, G., Persson, J., & Nyberg, L. H. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.02.021 · Cited by 126
“, 2004) and also in the MTL where different subfields may support different mechanisms and can be differentially impaired with advancing age (for example different subregions of the hippocampus or the parahippocampal gyrus, e.g., Daselaar et al., 2006; Kalpouzos et al., 2009; La Joie et al., 2010).”
BackgroundResultSelf-citationGonneaud, J., Kalpouzos, G., Bon, L., Viader, F., Eustache, F., & Desgranges, B. (2011) · Memory · doi:10.1080/09658211.2011.570765 · Cited by 90
“Binding processing is mainly subserved by the frontal cortex (Mitchell et al, 2000 ; Prabhakaran, Narayanan, Zhao, & Gabrieli, 2000 ; Sperling, 2007 ), and the dysfunction of this brain area in ageing (Kalpouzos, Chetelat, et al, 2009 ) may contribute to an age-related binding deficit (Mitchell et al, 2000 ; Sperling,…”
BackgroundSelf-citationBertoux, M., Funkiewiez, A., O’Callaghan, C., Dubois, B., & Hornberger, M. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.09.010 · Cited by 96
“Another potential reason for the variable control performance could be that our elderly controls did have some subtle VMPFC dysfunction, which can occur with aging [45].”
BackgroundNormalization in PET group comparison studies—The importance of a valid reference region
Borghammer, P., Jónsdóttir, K. Ý., Cumming, P. D., Østergaard, K., Vang, K., Ashkanian, M., Vafaee, M., Iversen, P., & GJEDDE, A. H. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.12.057 · Cited by 95
Non-invasive brain stimulation of the aging brain: State of the art and future perspectives
Tatti, E., Rossi, S., Innocenti, I., Rossi, A., & Santarnecchi, E. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.05.006 · Cited by 99
“…seem to be more vulnerable to aging than short-range connections (Tomasi and Volkow, 2012) and support the “last-in-first-out” hypothesis, namely a greater vulnerability of late-maturing regions of the brain to ageing effects (Grieve et al., 2005; Kalpouzos et al., 2009; Terribilli et al., 2011).”
Axonal energy metabolism, and the effects in aging and neurodegenerative diseases
Yang, S., Park, J. H., & Lu, H.-C. (2023) · Molecular Neurodegeneration · doi:10.1186/s13024-023-00634-3 · Cited by 94
Chételat, G., Landeau, B., Salmon, E., Yakushev, I., Bahri, M. A., Mézenge, F., Perrotin, A., Bastin, C., Manrique, A., Scheurich, A., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.009 · Cited by 92
“In vivo cross-sectional 18 FDG-PET studies in normal healthy individuals have consistently shown decreased cerebral glucose metabolism with age, with a differential effect across brain regions, the frontal cortex showing the greatest effects (Moeller et al., 1996; Petit-Taboué et al., 1998; Garraux et al., 1999; Herho…”
BackgroundInfluentialMalykhin, N. V., Huang, Y., Hrybouski, S., & Olsen, F. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.08.001 · Cited by 88
Marjańska, M., McCarten, J. R., Hodges, J. S., Hemmy, L. S., Grant, A., Deelchand, D. K., & Terpstra, M. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.04.035 · Cited by 89
“The OCC is consistently noted among regions with the least age-associated glucose uptake difference (Zuendorf et al., 2003, Kalpouzos et al., 2009).”
BackgroundSalami, A., Wåhlin, A., Kaboodvand, N., Lundquist, A., & Nyberg, L. H. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw233 · Cited by 93
“…2011), dopaminergic neurotransmission (Bäckman et al. 2006; Bäckman et al. 2010), cerebral blood flow (CBF) (Zarrinkoob et al. 2015), metabolism (Kalpouzos et al. 2009; Segobin et al. 2015), and task-induced functional activation across various cognitive domains (Grady 2012; Salami et al. 2012;…”
BackgroundHealthy brain aging: Interplay between reactive species, inflammation and energy supply
Garaschuk, O., Semchyshyn, H. M., & Lushchak, V. I. (2018) · Ageing Research Reviews · doi:10.1016/j.arr.2018.02.003 · Cited by 91
Quantification and clinical relevance of brain atrophy in multiple sclerosis: a review
Grassiot, B., Desgranges, B., Eustache, F., & Defer, G. (2009) · Journal of Neurology · doi:10.1007/s00415-009-5108-4 · Cited by 84
“This type of method has been widely applied in order to pinpoint brain atrophy in normal aging [47, 57, 64], degenerative pathologies, such as Alzheimer’s disease [6, 29], and semantic dementia [37].”
MethodSelf-citationRhesus macaque brain morphometry: A methodological comparison of voxel-wise approaches
McLaren, D. G., Kosmatka, K. J., Kastman, E. K., Bendlin, B. B., & Johnson, S. C. (2009) · Methods · doi:10.1016/j.ymeth.2009.10.003 · Cited by 84
Boller, B., Mellah, S., Ducharme‐Laliberté, G., & Belleville, S. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-016-9621-7 · Cited by 96
“Studies using voxelbased morphometry (VBM) for the analysis of grey matter (GM) volume have consistently reported age-related GM reduction in frontal, temporal, and parietal regions (Curiati et al. 2009; Good et al. 2001; Kalpouzos et al. 2009; Terribilli et al. 2011; for a review, see Matsuda 2013).”
MethodQuantitative fMRI and oxidative neuroenergetics
Hyder, F., & Rothman, D. L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.027 · Cited by 88
“PET studies have noted 10–20% reductions in overall CMRglc and CMRO2 with normal aging (Kalpouzos et al., 2009; Martin et al., 1991), but these may not all be related to mitochondrial changes.”
Kannurpatti, S. S., Motes, M. A., Rypma, B., & Biswal, B. B. (2010) · Human Brain Mapping · doi:10.1002/hbm.21097 · Cited by 83
“Positron Emission Tomography (PET), which measures brain metabolism, have indicated decreased glucose metabolism associated with age [Kalpouzos et al., 2009; Salat et al., 2004].”
How Aging Affects Sleep-Dependent Memory Consolidation?
Harand, C., Bertran, F., Doidy, F., Guénolé, F., Desgranges, B., Eustache, F., & Rauchs, G. (2012) · Frontiers in Neurology · doi:10.3389/fneur.2012.00008 · Cited by 83
Self-citationAge-related differences in sleep-based memory consolidation: a meta-analysis
Gui, W.-J., Li, H.-J., Guo, Y.-H., Peng, P., Lei, X., & Yu, J. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.02.001 · Cited by 78
“With age, some memory related brain areas such as the prefrontal cortex and hippocampus are undergoing structural and functional alterations (Kalpouzos et al., 2009; Mander et al., 2013; Mueller and Weiner, 2009).”
Brain volume changes in hyposmic patients before and after olfactory training
Gellrich, J., Han, P., Manesse, C., et al. (2017) · The Laryngoscope · doi:10.1002/lary.27045 · Cited by 82
Kochunov, P. V., Ramage, A. E., Lancaster, J. L., Robin, D. A., Narayana, S., Coyle, T. R., Royall, D. R., & Fox, P. T. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.11.010 · Cited by 82
“…are regionally heterogenous and are more prominent in multi-modal processing regions such as superior and medial frontal areas, than in primary motor or sensory regions (Chetelat et al., 2008; Flood and Coleman, 1988; Kalpouzos et al., 2009; Kochunov et al., 2005b; Morrison and Hof, 1997).”
BackgroundInfluentialGenerative FDG-PET and MRI Model of Aging and Disease Progression in Alzheimer's Disease
Dukart, J., Kherif, F., Mueller, K., Adaszewski, S., Schroeter, M. L., Frackowiak, R. S. J., Draganski, B., & Initiative, A. D. N. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002987 · Cited by 82
“Firstly, the spatial location of changes related to different ages and symptom severities in AD was mostly consistent with regions reported in the literature [33–35].”
ResultThe underlying mechanisms of verbal fluency deficit in frontotemporal dementia and semantic dementia
Laisney, M., Matuszewski, V., Mézenge, F., Belliard, S., Sayette, V. D. L., Eustache, F., & Desgranges, B. (2009) · Journal of Neurology · doi:10.1007/s00415-009-5073-y · Cited by 84
“Considering the within group variability for age and the influence of this factor on cerebral metabolism [31], it was set as a confounding variable in a linear regression.”
MethodSelf-citationIn vivo glutamate measured with magnetic resonance spectroscopy: behavioral correlates in aging
Zahr, N. M., Mayer, D., Torsten Rohlfing, B., Chanraud, S., Gu, M., Sullivan, E. V., & Adolf Pfefferbaum, A. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.09.014 · Cited by 89
Effects of demographic factors on cortical thickness in Alzheimer's disease
Seo, S. W., Im, K., Lee, J. M., Kim, S. T., Ahn, H. J., Go, S. M., Kim, S.-H., & Na, D. L. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.02.004 · Cited by 78
Age‐related structural and functional variations in 5,967 individuals across the adult lifespan
Luo, N., Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Abrol, A., Lin, D., Chen, J., Vergara, V. M., Fu, Z., Du, Y., Damaraju, E., Xu, Y. J., et al. (2019) · Human Brain Mapping · doi:10.1002/hbm.24905 · Cited by 77
“inverted U-shape relationship, consistent with previous studies (J. S. Allen et al., 2005; Kalpouzos et al., 2009).”
BackgroundResultWhite matter microstructural organization and gait stability in older adults
Bruijn, S. M., Impe, A. V., Duysens, J., & Swinnen, S. P. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00104 · Cited by 75
“In addition to these peripheral changes, gait stability may be compromised because of an age-related decline in both gray (Good et al., 2001; Smith et al., 2007; Kalpouzos et al., 2009) and white matter microstructure (Nusbaum et al., 2001; Sullivan and Pfefferbaum, 2006, 2007).”
BackgroundInfluentialMulti-scale radiomic analysis of sub-cortical regions in MRI related to autism, gender and age
Chaddad, A., Desrosiers, C., & Toews, M. (2017) · Scientific Reports · doi:10.1038/srep45639 · Cited by 70
Neuroplasticity across the lifespan and aging effects in bilinguals and monolinguals
Maschio, N. D., Sulpizio, S., Gallo, F., Fedeli, D., Weekes, B., & Abutalebi, J. (2018) · Brain and Cognition · doi:10.1016/j.bandc.2018.06.007 · Cited by 72
“These findings agree with substantial evidence from post-mortem and in vivo studies reporting whole-brain deterioration due to chronological age (Jernigan et al., 2001; Kalpouzos et al., 2009; Raz et al., 2005; Tisserand et al., 2004), with prefrontal regions being more affected than other cortical regions (Cabeza & D…”
Nugent, S., Croteau, É., Potvin, O., Castellano, C., Dieumegarde, L., Cunnane, S. C., & Duchesne, S. (2020) · Scientific Reports · doi:10.1038/s41598-020-65957-3 · Cited by 70
Neuropsychological and neuroimaging markers in early versus late-onset Alzheimer’s disease.
Kaiser, N. C., Melrose, R. J., Liu, C., Sultzer, D. L., Jimenez, E., Su, M., Monserratt, L., & Mendez, M. F. (2012) · American Journal of Alzheimer's Disease & Other Dementias® · doi:10.1177/1533317512459798 · Cited by 68
Medial Temporal Lobe Subregional Atrophy in Aging and Alzheimer's Disease: A Longitudinal Study
Chauveau, L., Kuhn, E., Palix, C., Felisatti, F., Ourry, V., Sayette, V. D. L., Chételat, G., & de Florès, R. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.750154 · Cited by 81
“support previous results emphasizing less volume alteration in the aHPC compared with pHPC in typical aging (Kalpouzos et al., 2009), but is in contrast with the results showing comparable volume declines (Li et al.”
ResultSelf-citation
Metadata
- Authors
- Kalpouzos, G., Chételat, G., Baron, J.-C., Landeau, B., Mevel, K., Godeau, C., Barré, L., Constans, J.-M., Viader, F., Eustache, F., & Desgranges, B.
- Affiliations
- Inserm (FR)
- Centre National de la Recherche Scientifique (FR)
- Centre Hospitalier Universitaire de Caen Normandie (FR)
- Corresponding author
- Desgranges, Béatrice
- ORCID
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2009-01
- Volume
- 30
- Issue
- 1
- Pages
- 112-124
- ISSN
- 0197-4580 (ISSN-L)
- OpenAlex
- W2067165730
- Semantic Scholar
- bf607728c1e82244d92309ed602209a9f8de7586
- Cited by
- 392
- References
- 111
- Citations by year
- 2026: 5 · 2025: 10 · 2024: 17 · 2023: 14 · 2022: 25 · 2021: 21 · 2020: 21 · 2019: 26 · 2018: 27 · 2017: 28 · 2016: 22 · 2015: 24 · 2014: 29 · 2013: 33 · 2012: 19
- FWCI
- 9.46
- Type
- journal article
- Language
- en
- Open access
- green
- inserm.hal.science
- Licence
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion, other-oa)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Social Sciences › Psychology › Developmental and Educational Psychology › Aging and Gerontology Research
- Keywords
- normal brain aging, gray matter volume, glucose metabolism, voxel-based morphometry, FDG-PET, partial volume correction, frontal cortex, hippocampus, thalamus, posterior cingulate cortex, cognitive preservation, Alzheimer's disease, brain aging
- MeSH terms
- Adult, Aged, Aged, 80 and over, Aging, Brain, Female, Humans, Male, Metabolic Clearance Rate, Middle Aged, Neurons, Organ Size, Radionuclide Imaging, Tissue Distribution, Radiopharmaceuticals, Fluorodeoxyglucose F18, Young Adult
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