Early Alterations in Functional Connectivity and White Matter Structure in a Transgenic Mouse Model of Cerebral Amyloidosis
Open accessAbstract
Impairment of brain functional connectivity (FC) is thought to be an early event occurring in diseases with cerebral amyloidosis, such as Alzheimer's disease. Regions sustaining altered functional networks have been shown to colocalize with regions marked with amyloid plaques burden suggesting a strong link between FC and amyloidosis. Whether the decline in FC precedes amyloid plaque deposition or is a consequence thereof is currently unknown. The sequence of events during early stages of the disease is difficult to capture in humans due to the difficulties in providing an early diagnosis and also in view of the heterogeneity among patients. Transgenic mouse lines overexpressing amyloid precursor proteins develop cerebral amyloidosis and constitute an attractive model system for studying the relationship between plaque and functional changes. In this study, ArcAβ transgenic and wild-type mice were imaged using resting-state fMRI methods across their life-span in a cross-sectional design to analyze changes in FC in relation to the pathology. Transgenic mice show compromised development of FC during the first months of postnatal life compared with wild-type animals, resulting in functional impairments that affect in particular the sensory-motor cortex already in preplaque stage. These functional alterations were accompanied by structural changes as reflected by reduced fractional anisotropy values, as derived from diffusion tensor imaging. Our results suggest cerebral amyloidosis in mice is preceded by impairment of neuronal networks and white matter structures. FC analysis in mice is an attractive tool for studying the implications of impaired neuronal networks in models of cerebral amyloid pathology.
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Written from the paper’s full text.
TL;DR
In ArcAβ transgenic mice, resting-state fMRI showed impaired development of functional connectivity in sensory-motor/parietal cortex during the first months of life, before dense amyloid plaque deposition. These functional changes were accompanied by altered white matter fractional anisotropy, and plaque burden did not correlate with functional connectivity.
Key findings
- Wild-type mice developed cortical functional connectivity from z = 0.15–0.32 at 1 month to z = 0.4–0.89 at 5 months; ArcAβ mice were similar at 1 month but failed to develop these correlations by 5 months, especially in sensory-motor/parietal cortex (posterior parietal p = 3.3 × 10⁻⁹; motor p = 5.1 × 10⁻³).
- Seed-based analysis of S1 cortex showed wild-type contralateral parietal correlation increasing from z = 0.25 to 0.6 by 5 months, whereas ArcAβ mice remained below z = 0.1 at 5, 8, and 21 months.
- DTI revealed genotype effects on fractional anisotropy in the minor forceps, anterior external capsule, and anterior internal capsule; anterior external capsule showed genotype effect p = 1.6 × 10⁻³ and age effect p = 1.7 × 10⁻⁷.
- Amyloid plaques were sparse at 5 months, occupied 3.2–7.4% of cortical surface at 11 months and 11.9–18% at 21 months, but plaque surface did not correlate with bilateral functional connectivity (r = 0.08).
Methods
- Cross-sectional study of 38 ArcAβ transgenic mice (17 male, 21 female) and 36 wild-type littermates (12 male, 24 female), aged 1–21 months across four age groups; imaged at 1, 2, 5, 8, 11, 19, and 21 months, with a repeat session at 1 week.
- 9.4 T MRI included resting-state fMRI, diffusion tensor imaging, and anatomical imaging; functional connectivity was measured as Fisher z-transformed Pearson correlations between 24 atlas ROIs, and fractional anisotropy was extracted from DTI ROIs.
- Linear mixed models tested gender, age, genotype, and two-way interactions with likelihood ratio tests; multiple comparisons were FDR-corrected at q = 0.05 for network analysis and q = 0.15 for voxelwise analysis, with post hoc intervals of 1–5 and 5–19 months.
Limitations
- Stated: isoflurane anesthesia may interact with amyloid-related GABAergic changes and could exacerbate effects; vascular pathology in ArcAβ mice means functional connectivity alterations may be neural, vascular, or both; poor individual-level reproducibility requires large groups or large effects.
- Evident from the text: the cross-sectional design cannot track within-animal trajectories or establish causality, and the findings are specific to the ArcAβ model, with the authors noting that mechanisms remain elusive and that different AD mouse models show different functional connectivity patterns.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
21 of 45 cited sources checked · 9 supported · 0 flagged · accuracy not yet measured
- Premisecitation
In mice, the somatosensory cortex appears as metabolically active as the cingulate.
“the somatosensory cortex appears as metabolically active as the cingulate in mice (Nicholson et al., 2010).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Nicholson et al., 2010 source
The Results and Discussion report glucose-uptake changes in the posterior cingulate cortex of AD-model mice, but do not compare its metabolic activity with that of the somatosensory cortex. Searches for “somatosensory” and for a comparison of somatosensory and cingulate glucose uptake found no passage addressing the claim. (LLM, conf=0.75)
Experimental — accuracy not yet measured
- Interpretationcitation
The dynamics of functional connectivity alteration, both spatial and temporal, differ from patterns observed in Alzheimer's disease patients.
“The dynamics of alteration, both spatial and temporal, differ from patterns observed in AD patients, which is marked with early altered FC in the default mode network and aggravated FC in the transition from mild cognitive impairments to AD (Greicius et al., 2004;Rombouts et al., 2005;Sorg et al., 2007;Sheline et al., 2010a,b).”
Quote in the paperSubstantial claim3 of 3 sources checked- cites Greicius et al., 2004 source
The Results compare default-mode network activity in healthy elderly participants and patients with AD, and the Discussion reports deficient activity in the AD group. That supports a difference in the brain regions affected, but the paper does not examine temporal dynamics or worsening functional connectivity during a transition from mild cognitive impairment to AD. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites Rombouts et al., 2005 source
The fMRI data and Discussion (page unavailable) report spatial differences in default-mode deactivation between MCI and AD, as well as a different early temporal response in the anterior cingulate. They also describe deactivation as further diminished in AD. The study measured task-related BOLD deactivation, however, not functional connectivity directly or longitudinal changes during an individual's transition from MCI to AD. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites Sorg et al., 2007 source
The Abstract and Results report reduced default-mode-network functional connectivity in people with amnestic MCI, supporting the claim of early alteration. The study compares these patients with healthy controls, not with AD patients over time; the Results say a two-year follow-up was still underway. It therefore does not establish distinct spatial and temporal dynamics or worsening connectivity during the transition from MCI to AD. Page numbers are unavailable in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Interpretationcitation
The discrepancy in regional functional connectivity impairments between mice and humans might be related to a link between neuronal activity and Aβ release affecting FC strength and amyloid deposition in later life.
“The discrepancy in regional FC impairments between mice and human might be related to a link between neuronal activity and A release affecting FC strength and amyloid deposition in later life (Bero et al., 2011(Bero et al., , 2012)).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Bero et al., 2011
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Bero et al., 2012 source
The Discussion (page unavailable) links neuronal activity with interstitial Aβ levels and suggests an association among neural activity, functional connectivity, and later amyloid deposition in mice. It also notes a mouse–human difference in regional connectivity changes, but does not propose the neuronal-activity/Aβ link as an explanation for that discrepancy or establish Aβ release as the mechanism. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Interpretationcitation
The marginal decline in FC in ArcAβ mice between 5 and 21 months is inconsistent with the observed aggravation of FC associated with transition from preclinical to clinical Alzheimer's disease.
“but inconsistent with the observed aggravation of FC associated with transition from preclinical to clinical AD (Rombouts et al., 2005).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Rombouts et al., 2005 source
The Discussion reports that default-mode-network deactivation is altered in MCI and further affected in mild AD, supporting a worsening difference between the groups. But the study measured task-related deactivation in separate groups, not functional connectivity (FC) during an observed transition from preclinical to clinical AD. The cited passages provide no page number. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Findingown data
The study could not correlate functional changes to amyloid plaque burden.
“further, we could not correlate functional changes to amyloid plaque burden.”
Quote in the paperSubstantial claim- Rests on an assumption: The fractional surface occupied by amyloid plaques in the cortex is a valid measure of amyloid burden relevant to functional connectivity changes.
- Rests on an assumption: If amyloid plaques caused functional connectivity changes, a correlation between plaque surface and functional connectivity would be detectable.
- Findingown data
In ArcAβ mice, functional connectivity to the contralateral parietal cortex remained below the threshold value of z = 0.1 at 5, 8, and 21 months of age.
“In ArcA mice, FC to the contralateral parietal cortex remained below the threshold value of z ϭ 0.1 also at 5, 8, and 21 months of age.”
Quote in the paperSubstantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
- Findingown data
There was no correlation between the surfaces occupied by amyloid plaques and bilateral correlation between the corresponding areas (r = 0.08).
“There was however no correlation between the surfaces occupied by amyloid plaques and bilateral correlation between the corresponding areas (Fig. 7c; r ϭ 0.08).”
Quote in the paperNot a substantial claim- Rests on an assumption: The fractional surface occupied by amyloid plaques in the cortex is a valid measure of amyloid burden relevant to functional connectivity changes.
- Rests on an assumption: If amyloid plaques caused functional connectivity changes, a correlation between plaque surface and functional connectivity would be detectable.
- Findingown data
None of the correlation pairs showed a gender effect or gender interaction effects below the FDR threshold.
“None of the correlation pairs, however, showed a gender effect or gender interaction effects below FDR threshold.”
Quote in the paperNot a substantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
- Findingown data
In both ArcAβ and wild-type mice, a seed ROI located within the somatosensory S1 cortex showed weak diffuse correlation with the adjacent cortex and little bilateral correlations at 1 month.
“In both ArcA and wild-type mice, a seed ROI located within the somatosensory S1 cortex showed weak diffuse correlation with the adjacent cortex, and little bilateral correlations at 1 month.”
Quote in the paperNot a substantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
- Findingown data
No factor interaction (e.g., genotype × age) effect on fractional anisotropy was observed below the FDR threshold.
“No factor interaction (e.g., genotype ϫ age) effect was observed below the FDR threshold.”
Quote in the paperNot a substantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
- Findingown data
In wild-type animals, correlation to the contralateral parietal cortices increased by 5 months of age from z = 0.25 to 0.6.
“In wild-type animals, correlation to the contralateral parietal cortices increased by 5 months of age from z ϭ 0.25 to 0.6 consistent with the values from the network analysis discussed above.”
Quote in the paperSubstantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
- Findingown data
Statistical analysis of the correlation matrices revealed a strong genotype effect for correlations among left and right medial and posterior parietal cortices, as well as motor cortices (posterior parietal p = 3.3 × 10−9, motor p = 5.1 × 10−3).
“Statistical analysis of the correlation matrices (Fig. 2h) revealed strong genotype effect for correlations among left and right medial and posterior parietal cortices, as well as motor cortices (Fig. 3b,c; posterior parietal cortices p ϭ 3.3 ϫ 10 Ϫ9 , motor cortices p ϭ 5.1 ϫ 10 Ϫ3 ).”
Quote in the paperSubstantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
- Findingown data
Correlations from the parietal cortices to the motor cortex showed an age effect.
“Correlations from the parietal cortices to the motor cortex showed an age effect (Fig. 2h).”
Quote in the paperSubstantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
- Findingown data
The impaired development of functional connectivity in transgenic animals during the 1-5 month period is reflected by an altered fractional anisotropy evolution in specific white matter structures.
“Interestingly, the impaired development of FC in transgenic animals during the 1-5 month period is also reflected by an altered FA evolution in specific white matter structures”
Quote in the paperSubstantial claim - Findingown data
A genotype effect in fractional anisotropy changes was found for the minor forceps, the anterior part of the external capsule, and the anterior internal capsule.
“A genotype effect in FA changes was found for the minor forceps, the anterior part of the external capsule, and the anterior internal capsule (Fig. 6b).”
Quote in the paperSubstantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
- Findingown data
In wild-type mice, correlation did not exceed z = 0.3 between the dorsal and ventral striatum and the cortical regions.
“Correlation did not exceed z ϭ 0.3 between the dorsal and ventral striatum and the cortical regions (Fig. 2).”
Quote in the paperNot a substantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
- Findingown data
Amyloid plaques occupied between 3.2 and 7.4% of the cortical surface in the different regions in 11-month ArcAβ mice, and 11.9 and 18% at 21 months.
“Amyloid plaques occupied between 3.2 and 7.4% of the cortical surface in the different regions in 11 months ArcA mice, and 11.9 and 18% at 21 months (Fig. 7b).”
Quote in the paperNot a substantial claim- Rests on an assumption: The fractional surface occupied by amyloid plaques in the cortex is a valid measure of amyloid burden relevant to functional connectivity changes.
- Findingown data
There was no genotype × age interaction below the FDR threshold for functional connectivity correlations.
“There was no genotype ϫ age interaction below FDR threshold.”
Quote in the paperNot a substantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
- Findingown data
Correlation coefficients observed in 1-month-old ArcAβ mice were similar to age-matched wild-type animals across all regions analyzed.
“Correlation coefficients observed in 1-month-old ArcA mice were similar to the age-matched wild-type animals across all regions analyzed”
Quote in the paperSubstantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
- Findingown data
In wild-type mice, less pronounced changes occurred in cross-correlation between bilateral retrosplenial/cingulate cortex and the retrosplenial/cingulate with the parietal cortices.
“Similarly, although less pronounced, changes have been found in cross-correlation between bilateral retrosplenial/ cingulate cortex and the retrosplenial/cingulate with the parietal cortices”
Quote in the paperNot a substantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
- Findingown data
Age effect on fractional anisotropy values was widespread in the white and gray matter.
“Age effect on FA values was widespread in the white and gray matter (data not shown), while a gender effect was identified for the anterior internal capsule (Fig. 6c).”
Quote in the paperNot a substantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
- Findingown data
ArcAβ mice developed functional connectivity differences with respect to wild-type between month 1 and 5 for the cortical ROIs.
“the mice developed FC difference with respect to wild-type between month 1 and 5 for the cortical ROIs (Figs. 2a-c, 3a-c).”
Quote in the paperSubstantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
- Findingown data
A gender effect on fractional anisotropy was identified for the anterior internal capsule.
“while a gender effect was identified for the anterior internal capsule (Fig. 6c).”
Quote in the paperNot a substantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
- Findingcitation
There is a marginal decline in functional connectivity in ArcAβ mice between 5 and 21 months of age despite massively increasing amyloid plaque load.
“Another discrepancy with regards to human pathological progression related to the marginal decline in FC in ArcA mice between 5 and 21 months of age despite massively increasing amyloid plaque load”
Quote in the paperSubstantial claim - Findingown data
Functional connectivity involving somatosensory ROIs shows the highest correlation coefficients in our study.
“In fact, FC involving somatosensory ROIs shows the highest correlation coefficients in our study”
Quote in the paperSubstantial claim - Findingown data
In wild-type mice, the correlation coefficient between rs-fMRI time series for ROIs in parietal and motor cortices increased from z = 0.15-0.32 at 1 month to z = 0.4-0.89 at 5 months of age.
“In wild-type mice, the correlation coefficient between rs-fMRI time series for ROIs located within the parietal and motor corti- ces developed from values in the range of z ϭ 0.15-0.32 at 1 month to values of z ϭ 0.4 -0.89 measured at 5 months of age”
Quote in the paperSubstantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
- Findingown data
Slope analysis for the 1-5 month interval indicated that fibers highlighted by the statistical analysis presented a greater rate of fractional anisotropy change per month in wild-type mice compared with transgenic animals.
“Slope analysis for the 1-5 month interval indicate that fibers highlighted by the statistical analysis presented greater rate of FA change per month (⌬FA/month) in wild-type mice compared with transgenic animals.”
Quote in the paperSubstantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
- Findingown data
A gender effect is found in the left internal capsule.
“A gender effect is found in the left internal capsule (c).”
Quote in the paperNot a substantial claim - Findingown data
Voxelwise analysis of fractional anisotropy in ArcAβ and wild-type mice reveals a genotype effect in the corpus callosum, anterior external capsule, minor forceps and internal capsule.
“Voxelwise analysis of FA in ArcA and wild-type mice reveals a genotype effect in the corpus callosum, anterior external capsule, minor forceps and internal capsule (b).”
Quote in the paperSubstantial claim - Findingown data
Rate of fractional anisotropy change per month during the 1-5 month interval indicates higher rates in wild-type compared with ArcAβ mice for fibers presenting a genotype effect in the voxelwise analysis.
“Rate of FA change per month (⌬FA/month) during the 1-5 month interval indicates higher rates in wild-type (d) compared with ArcA mice (e) for fibers presenting a genotype effect in the voxelwise analysis.”
Quote in the paperSubstantial claim - Findingown data
Correlation change rates were lower in ArcAβ mice compared with wild-type during the early age in the cortical regions.
“Correlation change in function of age in young adulthood (a, 1-5 months) and mid-life (b, 5-19 months) indicate lower rates in ArcA mice compared with wild-type during the early age in the cortical regions”
Quote in the paperSubstantial claim - Findingown data
Temporal variance maps revealed clusters with high variance in the brain boundaries and in areas colocalizing with major blood vessels.
“Temporal variance maps revealed clusters with high variance in the brain boundaries and in areas colocalizing with major blood vessels (c, white arrows).”
Quote in the paperNot a substantial claim - Findingown data
Correlation analysis indicates no apparent link between amyloid plaque surface occupancy and functional connectivity for the corresponding regions (r = 0.08).
“Correlation analysis indicate no apparent link between amyloid plaque surface occupancy and functional connectivity for the corresponding regions (c; r ϭ 0.08).”
Quote in the paperSubstantial claim - Findingown data
There were no substantial changes in correlation over time in midlife in both ArcAβ and wild-type mice.
“In comparison, there was no substantial changes in correlation over time in midlife in both ArcA with ⌬correlation/month ϭ 2 ϫ 10 Ϫ4 to Ϫ9 ϫ 10 Ϫ4 month Ϫ1 in the cortical areas, and wild-type mice with ⌬correlation/month ϭ 0toϪ2 ϫ 10 Ϫ4 month Ϫ1.”
Quote in the paperSubstantial claim - Findingown data
Wild-type animals at 5, 8, and 21 months show correlations marking the delineation of the parietal cortex with respect to the seed.
“Wild-type animals at 5, 8, and 21 months show correlations marking the delineation of the parietal cortex with respect to seed.”
Quote in the paperSubstantial claim - Findingown data
The effects on functional connectivity are most pronounced for FC involving ROIs in the somatosensory and motor cortex.
“with effects being most pronounced for FC involving ROIs in the somatosensory and motor cortex.”
Quote in the paperSubstantial claim - Findingown data
The development of functional connectivity during the first months of life is impaired in ArcAβ transgenic mice compared with age-matched wild-type mice.
“we have shown using rs-fMRI that in the ArcA transgenic mouse model of cerebral amyloidosis that the development of FC during the first months of life is impaired as compared with age-matched wild-type mice”
Quote in the paperSubstantial claim - Findingown data
Strongest correlations in the wild-type groups are observed between left and right parietal, motor, and retrosplenial/cingulate cortex.
“Strongest correlations in the wild-type groups are observed between left and right parietal (aPc, mPc, pPc), motor (Mc), and retrosplenial/cingulate cortex (Rs/Cg).”
Quote in the paperNot a substantial claim - Findingown data
At 1 month, both genotype groups show diffuse and weak cross-correlation between the seed region and the surrounding voxels in the cortex.
“At 1 month, both genotype groups show diffuse and weak cross-correlation between the seed region and the surrounding voxels in the cortex.”
Quote in the paperNot a substantial claim - Findingown data
ArcAβ mice show weak contralateral correlations to the seed.
“In comparison, ArcA mice show weak contralateral correlations to the seed.”
Quote in the paperSubstantial claim - Findingown data
There was no genotype effect in the hippocampus or limbic regions.
“There was no genotype effect in the hippocampus (e) or limbic regions (f ).”
Quote in the paperNot a substantial claim - Study design and conductown data
There was no apparent difference in breathing rates between age groups or genotypes.
“There was no apparent difference in breathing rates between age groups or genotypes.”
Quote in the paperNot a substantial claim - Study design and conductown data
No correlation between temporal signal-to-noise ratio and motion could be observed.
“No correlation between tSNR and motion could be observed.”
Quote in the paperNot a substantial claim - Premisecitation
The GABAergic system appears to be affected by amyloid toxicity already in early life of transgenic animals of cerebral amyloidosis.
“For example the GABAergic system, being a target of several anesthetics including isoflurane (Kotani and Akaike, 2013), appears to be affected by amyloid toxicity already in early life of transgenic animals of cerebral amyloidosis (Krantic et al., 2012).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Kotani and Akaike, 2013
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Krantic et al., 2012 source
- Interpretationreasoning
Isoflurane anesthesia may exacerbate the effects of amyloidosis in fMRI studies in these animals.
“Hence, isoflurane anesthesia may exacerbate the effects of amyloidosis in fMRI studies in these animals.”
Quote in the paperNot a substantial claim- Rests on an assumption: Isoflurane anesthesia does not differentially affect functional connectivity in ArcAβ transgenic mice compared with wild-type mice.
- Rests on an assumption: All anesthetics interact with neurotransmitter systems, which might be affected in a differential way in different mouse lines.
- Study design and conductown data
The variance of the within-subject effect was lower than the residual variance by two orders of magnitude.
“Variance of the within-subject effect was lower than the residual variance by two orders of magnitude”
Quote in the paperNot a substantial claim - Interpretationown data
The finding that FC involving somatosensory ROIs shows the highest correlation coefficients supports the hypothesis linking high brain activity to Aβ pathology.
“supporting the hypothesis linking high brain activity to A pathology.”
Quote in the paperSubstantial claim - Interpretationown data
The results suggest that cerebral amyloidosis in mice is preceded by impairment of neuronal networks and white matter structures.
“Our results suggest cerebral amyloidosis in mice is preceded by impairment of neuronal networks and white matter structures.”
Quote in the paperSubstantial claim- Rests on an assumption: The observed genotype effects in ArcAβ mice are attributable to cerebral amyloidosis or APP overexpression rather than to other genetic or developmental differences.
- Rests on an assumption: The fractional surface occupied by amyloid plaques in the cortex is a valid measure of amyloid burden relevant to functional connectivity changes.
- Rests on an assumption: If amyloid plaques caused functional connectivity changes, a correlation between plaque surface and functional connectivity would be detectable.
- Premisecitation
Functional connectivity patterns in isoflurane-anesthetized mice are strikingly similar to those recorded in the awake state.
“However, FC pattern in isoflurane anesthetized mice were shown to be strikingly similar to those recorded in the awake state (Jonckers et al., 2013).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Jonckers et al., 2013 source
- Interpretationown data
Structural development, as reflected by fractional anisotropy measurements, also appears to be affected during the early months in ArcAβ mice.
“Structural development, as reflected by FA measurements, also appears to be affected during the early months.”
Quote in the paperSubstantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
- Interpretationcitation
The animal fractional anisotropy data differ from patterns of FA changes in patients with Alzheimer's disease.
“The animal data differ from patterns of FA changes in patients with AD, where regions marked by reduced FA include the temporal lobes, hippocampus, posterior cingulum and occipital lobe (Stebbins and Murphy, 2009).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Stebbins and Murphy, 2009 source
- Interpretationreasoning
The altered fractional anisotropy evolution suggests a neuronal rather than vascular basis for the functional changes.
“which may, suggest a neuronal rather than vascular basis for the func-tional changes.”
Quote in the paperSubstantial claim - Study design and conductown data
Test-retest correlation ranged between r = 0.4 and r = 0.58 across cortical pairwise correlations.
“which is corroborated with a relatively low correlation in test-retest analysis ranging between r ϭ 0.4 and r ϭ 0.58 across cortical pairwise correlations (Fig. 8a).”
Quote in the paperNot a substantial claim- Rests on an assumption: A test-retest correlation of r = 0.4–0.58 is sufficient reliability for functional connectivity analysis.
- Interpretationreasoning
The changes observed suggest an impaired functional and structural network maturation in ArcAβ mice.
“The changes observed suggest an impaired functional and structural network maturation in ArcA”
Quote in the paperSubstantial claim - Study design and conductown data
Reproducibility of functional connectivity assessment ranged between r = 0.4 and r = 0.58 between the cortical regions pairwise correlation, and −0.01 to 0.2 in the subcortical interactions.
“Reproducibility ranged between r ϭ 0.4 and r ϭ 0.58 between the cortical regions pairwise correlation, and Ϫ0.01 to 0.2 in the subcortical interactions.”
Quote in the paperNot a substantial claim - Study design and conductown data
Pairwise mixed-model analysis showed the genotype and age effects below the FDR correction threshold.
“Pairwise mixed-model analysis showing the genotype and age effects below FDR correction threshold.”
Quote in the paperSubstantial claim - Interpretationown data
Changes in functional connectivity are among the earliest detectable features in cerebral amyloidosis, both in human and animal models.
“Changes in FC are among the earliest detect- able feature in cerebral amyloidosis, both in human and animal models”
Quote in the paperSubstantial claim
- May combine two claims. 38
- Classified as probably not a substantial claim. 29
May combine two claims.
PremisecitationVasculopathy in murine models of amyloidosis has structural and functional consequences, including reduced cortical blood flow early in life and damaged capillary systems.
“A number of structural and functional consequences of vasculopathy have been reported in murine models of amyloidosis, such as reduced cortical blood flow already early in life (He ´bert et al., 2013), as well as damaged capillary systems (Meyer et al., 2008).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites He ´bert et al., 2013
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Meyer et al., 2008 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn humans, the default mode network is the metabolically most active network in the brain at rest.
“Although, in humans, the DMN is the metabolically most active network in the brain at rest (Raichle et al., 2001)”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Raichle et al., 2001 source
The paper identifies an organized default mode of brain function at rest, supported by regions that decrease their activity during goal-directed tasks. But the Results and Discussion do not establish that these regions form the metabolically most active network at rest; the paper reports no activation by its resting-state definition and notes that some studied regions have oxygen consumption below the global mean. Page numbers are unavailable in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim. May combine two claims.
PremisecitationThe human brain appears organized into 10-15 networks, among which the default mode network has gained attention in Alzheimer's disease due to its colocalization with amyloid plaques.
“Human brain appears organized into 10 -15 networks (Damoiseaux et al., 2006), among which, the default mode network (DMN) has gained attention in AD due to its colocalization with amyloid plaques (Greicius et al., 2003;Buckner et al., 2005).”
Quote in the paperSubstantial claim2 of 3 sources checked- cites Damoiseaux et al., 2006 source
- cites Greicius et al., 2003 source
The discussion identifies the posterior cingulate cortex as part of the default mode network and notes that it is among the earliest regions to show decreased metabolism in Alzheimer’s disease (page unavailable in our copy). It does not say that the network colocalizes with amyloid plaques or that this is why it gained attention in Alzheimer’s disease. The 10–15-network count is cited to Damoiseaux et al., not to this paper. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites Buckner et al., 2005 source
May combine two claims.
InterpretationcitationThe results compare well with growing evidence of early functional impairments in humans at risk of developing Alzheimer's disease, such as mid-life APOE4 carriers or asymptomatic elderly with amyloid deposition, and corroborate the reported absence of a correlation between amyloid plaques and functional connectivity in humans.
“The results compare well with growing evidence of early functional impairments in humans at risk of developing Alzheimer's disease, such as mid-life APO4 carriers (Sheline et al., 2010a;Canuet et al., 2012) or asymptomatic elderly with amyloid deposition (Hedden et al., 2009;Sperling et al., 2009;Sheline et al., 2010b), and corroborate the reported absence of a correlation between amyloid plaques”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites Sheline et al., 2010a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Canuet et al., 2012 source
Split into 2 atoms — 0 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites Adriaanse et al., 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Rests on an assumption: Early functional connectivity and fractional anisotropy changes in ArcAβ mice are relevant to human Alzheimer's disease.
May combine two claims.
InterpretationcitationFunctional connectivity deficits in ArcAβ mice appeared already robustly reduced in the early phase of life, whereas functional connectivity appeared increased in young APP/PS1 mice compared with wild-type.
“Their results differ from ours as FC deficits in ArcA mice appeared already robustly reduced in the early phase of life, whereas it appeared increased in young APP/PS1 compared with wild-type”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Bero et al., 2012 source
The Results section (page unavailable) reports higher connectivity values for young APP/PS1 than young wild-type mice in several regions, including motor and retrosplenial cortex. It does not report a direct statistical comparison between those groups, and the pattern is not consistent across all regions. This paper studies APP/PS1 mice, not the ArcAβ finding in the preceding clause. (LLM, conf=0.78)
Experimental — accuracy not yet measured
- Rests on an assumption: The observed genotype effects in ArcAβ mice are attributable to cerebral amyloidosis or APP overexpression rather than to other genetic or developmental differences.
May combine two claims.
PremisecitationDefault mode network connectivity was reported affected in subjects at risk of developing Alzheimer's disease, including patients with mild cognitive impairment, cognitively healthy elders with amyloid deposits, and midlife carriers of the APOE4 risk allele.
“Additionally, DMN connectivity was reported affected in subjects at risk of developing AD including patients with mild cognitive impairment (Rombouts et al., 2005;Sorg et al., 2007), in cognitively healthy elders with amyloid deposits (Hedden et al., 2009;Sperling et al., 2009;Sheline et al., 2010b), and in midlife carriers of APO 4 risk allele (Sheline et al., 2010a;Canuet et al., 2012).”
Quote in the paperSubstantial claim2 of 3 sources checked- cites Rombouts et al., 2005 source
The Abstract and Discussion report altered default mode network deactivation in patients with mild cognitive impairment compared with healthy controls. But the study measured task-related deactivation, not connectivity directly; the Discussion's mention of altered resting connectivity concerns AD and cites another study. The other risk groups in the citing sentence have separate citations and are not attributed to Rombouts et al. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites Sorg et al., 2007 source
Not checked in the free run.
- cites Hedden et al., 2009 source
Classified as probably not a substantial claim.
PremisecitationAlzheimer's disease often involves amyloid deposition around the vasculature.
“Alzheimer's disease often involves amyloid deposition around the vasculature (Weller et al., 1998)”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Weller et al., 1998 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAβ peptides in various forms have been linked to alterations in cerebral calcium homeostasis, axonal guidance, axonal transport, and/or synaptic signaling.
“A peptides in various forms have been linked to alterations in cerebral calcium homeostasis (Kuchibhotla et al., 2008), axonal guidance (Cao et al., 2012), axonal transport, and/or synaptic signaling (Knobloch et al., 2007a), processes that ultimately might translate into impaired neural function.”
Quote in the paperNot a substantial claim2 of 3 sources checkedMay combine two claims.
PremisecitationThe ArcAβ mice show reduced synaptic plasticity and amyloid pathology affecting both the brain parenchyma and vasculature by 6 months of age.
“The mice show reduced synaptic plasticity (Knobloch et al., 2007a), and amyloid pathology affecting both the brain parenchyma and vasculature by 6 months of age (Knobloch et al., 2007b;Merlini et al., 2011).”
Quote in the paperSubstantial claim1 of 3 sources checked- cites Knobloch et al., 2007a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Knobloch et al., 2007b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Merlini et al., 2011 source
May combine two claims.
PremisecitationThe ArcAβ model displays vascular pathology at a young age, leading in old animals to cerebral microbleeds, impaired vascular reactivity, and vascular remodeling.
“The ArcA model displays vascular pathology at a young age (Merlini et al., 2011) leading in old animals to cerebral microbleeds (Klohs et al., 2011), impaired vascular reactivity (Princz-Kranz et al., 2010), and vascular remodeling (Klohs et al., 2012).”
Quote in the paperSubstantial claim1 of 3 sources checkedMay combine two claims.
PremisecitationAmyloid deposition around the vasculature affects neurovascular coupling and potentially masks functional connectivity measured by hemodynamic readouts such as BOLD fMRI and intrinsic optical imaging.
“which inherently affects the neurovascular coupling and potentially masks FC measured on the basis of hemodynamic readouts, such as BOLD fMRI (Nicolakakis and Hamel, 2011) and intrinsic optical imaging (Bero et al., 2012).”
Quote in the paperSubstantial claim1 of 2 sources checkedClassified as probably not a substantial claim.
PremisecitationIn Alzheimer's disease, plaque deposits, fibrils, and oligomers of Aβ are considered essential mediators in the pathophysiological cascade leading to cognitive decline.
“In AD, plaque deposits, fibrils, and oligomers of A are considered essential mediators in the pathophysiological cascade leading to cognitive decline (Mucke and Selkoe, 2012).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Mucke and Selkoe, 2012 source
In the section on monomers, oligomers, and fibrils (page not provided), the paper links Aβ accumulation and soluble oligomers to neuronal dysfunction relevant to cognitive decline, and allows that plaques may have local neurotoxic effects. It does not treat plaques, fibrils, and oligomers alike as essential mediators: it describes insoluble fibrils as potentially relatively inactive reservoirs and reports that washed plaque cores did not block synaptic plasticity unless dissolved to release oligomers. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataOnly anecdotal parenchymal plaques were detected in brains of 5-month-old ArcAβ mice, whereas amyloid pathology was densely present in the cortex and hippocampus in 11- and 21-month-old animals.
“Although only anecdotal parenchymal plaques have been detected in brains of 5 months old ArcA mice, amyloid pathology was densely present in the cortex and hippocampus in 11-and 21-month-old animals (Fig. 7a).”
Quote in the paperNot a substantial claim- Rests on an assumption: The fractional surface occupied by amyloid plaques in the cortex is a valid measure of amyloid burden relevant to functional connectivity changes.
May combine two claims.
Findingown dataThe genotype contrast for the 1-5 month and 5-19 month intervals indicated overall statistically significant differences across cortical ROIs between wild-type and ArcAβ mice during the 5-19 month interval, but only marginal difference during the 1-5 month interval.
“The genotype contrast for the 1-5 month and 5-19 month interval indicated overall statistical significant differences across cortical ROIs between wild-type and ArcA mice during the 5-19 months interval, but only marginal difference during the 1-5 months interval (Fig. 4d).”
Quote in the paperSubstantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
May combine two claims.
Findingown dataROI analysis illustrates a difference in fractional anisotropy in the anterior external capsule in both wild-type and transgenic mice (genotype effect p = 1.6 × 10−3, age effect p = 1.7 × 10−7), but not in the posterior external capsule.
“ROI analysis illustrates the difference in FA in the anterior external capsule in both wild-type and transgenic mice (Fig. 6f; genotype effect: p ϭ 1.6 ϫ 10 Ϫ3 , age effect: p ϭ 1.7 ϫ 10 Ϫ7 ), but not in the posterior external capsule (Fig. 6g).”
Quote in the paperSubstantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
May combine two claims.
Findingown dataThe rate of change of the correlation value per month was reduced for several cortical ROIs in ArcAβ compared with wild-type mice during the 1-5 month period, but not during the 5-19 month interval.
“The rate of change of the correlation value per month (⌬Correlation/month) was evaluated using linear regression for the 1-5 month (Fig. 4a) and 5-19 month intervals (Fig. 4b), respectively, and displayed reduced rates for several cortical ROIs in ArcA compared with wild-type mice during the 1-5 month period, but not during the 5-19 month interval (Fig. 4c).”
Quote in the paperSubstantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
May combine two claims.
Findingown dataIn wild-type mice, the hippocampus displayed weak correlations with coefficients z ≤ 0.5 bilaterally and z ≤ 0.1 with other regions.
“The hippocampus (Figs. 2, 3e) displayed weak correlations with coefficients z Յ 0.5 bilaterally, and z Յ 0.1 with other regions.”
Quote in the paperNot a substantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
May combine two claims.
Findingown dataPost hoc contrast analysis reveals differences in correlation between the parietal cortices during the 5-19 month interval, but only marginal differences during the 1-5 month period.
“Post hoc contrast analysis of differences between ArcA and wild-type between 1 and 5 months (bottom, left corner) and between 5 and 19 (top, right corner) reveals differences in correlation between the parietal cortices during the 5-19 month interval, but only marginal differences during the 1-5 month period.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe rate difference reveals marked differences between ArcAβ and wild-type in Δcorrelation/month rates in the 1-5 months period in the anterior, medial and posterior parietal cortex, and marginal differences in rates during the 5-19 month interval.
“The rate difference (c) reveals marked differences between ArcA and wild-type in ⌬correlation/ month rates in the 1-5 months period in the anterior, medial and posterior parietal cortex, and marginal differences in rates during the 5-19 month interval.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Findingnone givenThe diagnostic value of functional connectivity readout is hampered by poor reproducibility at the individual level.
“however, the diagnostic value of this readout is hampered by poor reproducibility at the individual level.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataEffects on functional connectivity are paralleled by structural changes as derived from analysis of the fractional anisotropy of water diffusion, and occur in the early amyloid plaque buildup stage.
“Effects on FC are paralleled by structural changes as derived from analysis of the FA of water diffusion, and occur in the early amyloid plaque buildup stage.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataROI analysis shows the maximum fractional anisotropy value along a line profile across the anterior external capsule (genotype effect: p = 1.3 × 10−3) and posterior external capsule.
“ROI analysis shows the maximum FA value along a line profile across the anterior external capsule (ROI ec ant , f; genotype effect: p ϭ 1.3 ϫ 10 Ϫ3 ) and posterior external capsule (ROI ec post , g)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataA genotype × interaction effect was observed in the anterior and posterior parietal cortex bilateral correlation, left-to-right motor cortex pair, and retrosplenial/cingulate cortex.
“Genotype ϫ interaction effect was observed in the anterior and posterior parietal cortex bilateral correlation (a, p ϭ 2.5 ϫ 10 Ϫ8 ; b, p ϭ 5.5 ϫ 10 Ϫ3 ), left-to-right motor cortex pair (c, p ϭ 2.4 ϫ 10 Ϫ4 ), and retrosplenial/cingulate cortex (d, p ϭ 1.3 ϫ 10 Ϫ2 ,).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataImmunohistological detection reveals sparse amyloid plaques at 5 months with increasing plaque load at 11 and 21 months in ArcAβ transgenic mice.
“Immunohistological detection of A peptides ArcA transgenic mice at 2, 5, 11, and 21 months, and wild-type control reveal sparse amyloid plaques at 5 months with increasing plaque load at 11 and 21 months (a).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataA linear mixed model analysis was performed with gender, age, genotype, and their twofold interactions as fixed effects.
“A linear mixed model analysis was performed with gender, age, genotype, and their twofold interactions as fixed effects using lme4 package.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisereasoningStudies addressing the implication of amyloid pathology on brain functional connectivity in animals are lacking because fMRI in mice is challenging.
“Although the molecular processes underlying amyloid pathology in animals have been examined extensively, studies addressing its implication on brain FC are lacking as fMRI in mice is challenging.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationThe marginal decline in FC in ArcAβ mice between 5 and 21 months is consistent with the dissociation between amyloid load and connectivity.
“consistent with the dissociation between amyloid load and connectivity (Adriaanse et al., 2014)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Adriaanse et al., 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll animals measured were included in the analysis.
“All animals measured were included in the analysis.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationDiffusion tensor imaging in the APP/PS1 model revealed a fractional anisotropy difference map overlapping with our results, including increased FA in the minor forceps.
“Diffusion tensor imaging in the APP/PS1 model revealed a FA difference map overlapping with our results, including increased FA in the minor forceps (Shu et al., 2013).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Shu et al., 2013 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataPreprocessing EPI image deformation induced by magnetic field inhomogeneity was minimal in most scans and was accounted for by the nonlinear transformation during coregistration.
“Preprocessing EPI image deformation induced by the magnetic field inhomogeneity was minimal in most scans and was accounted for by the nonlinear transformation during the coregistration.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataMedial parietal cortex bilateral correlation yielded a test-retest correlation of r = 0.48.
“For example medial parietal cortex bilateral correlation yielded a test-retest correlation of r ϭ 0.48 (Fig. 8b).”
Quote in the paperNot a substantial claim- Rests on an assumption: A test-retest correlation of r = 0.4–0.58 is sufficient reliability for functional connectivity analysis.
Classified as probably not a substantial claim.
Premisenone givenThe ArcAβ transgenic mouse model of cerebral amyloidosis overexpresses the human APP protein with the Swedish and Arctic mutations.
“The ArcA transgenic mouse model of cerebral amyloidosis has been used, which overexpresses the human APP protein with the Swedish and Arctic mutations.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationAnimal models of amyloid pathology offer an experimental platform for studying Alzheimer's disease.
“Animal models of amyloid pathology offer an experimental platform to studying AD (Gordon et al., 2002).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Gordon et al., 2002 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataResidual analysis of the mixed models was performed on randomly selected samples (n = 30) with QQ-plots, Tukey-Anscombe plots, and scale location plots, and the assumption of normally distributed residuals was considered plausible in all tested fractional anisotropy samples and in all randomly tested functional connectivity pairs describing cortical interactions.
“Residual analysis of the mixed models was performed on randomly selected samples (n ϭ 30) with QQ-plots to inspect normal distribution, Tukey-Anscombe plots for the homogeneity of the variance and skewness, and scale location plots for homoscedasticity (i.e., the homogeneity of residual variance).The assumption of normally distributed residuals was considered plausible in all tested fractional”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductcitationMultiple comparison was corrected with false discovery rate, with q = 0.05 for network comparison and q = 0.15 for voxelwise analysis.
“Multiple comparison was corrected with false discovery rate (FDR) (Benjamini and Hochberg, 1995), with q ϭ 0.05 for network comparison, and q ϭ 0.15 for voxelwise analysis.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Benjamini and Hochberg, 1995 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataTemporal signal-to-noise ratio in the somatosensory cortex varied between functional imaging sessions, with animals imaged at 2 and 21 months of age displaying the highest tSNR values.
“Temporal signal-to-noise ratio (tSNR) in the somatosensory cortex was found to vary between functional imaging sessions (Table 1; Fig. 8c) with animals imaged at 2 and 21 months of age displaying the highest tSNR values.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataFractional anisotropy of the external capsule showed test-retest values of r = 0.39.
“In comparison, fractional anisotropy of the external capsule showed similar testretest values of r ϭ 0.39.”
Quote in the paperNot a substantial claim- Rests on an assumption: A test-retest correlation of r = 0.4–0.58 is sufficient reliability for functional connectivity analysis.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA significant fraction of Alzheimer's disease patients is affected by severe vasculopathy.
“as a significant fraction of these patients is affected by severe vasculopathy (Castellani et al., 2004).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Castellani et al., 2004 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenAll animal experiments in this study were performed in adherence to the Swiss law of Animal Protection and were approved by the Zurich cantonal veterinary office.
“All animal experiments in this study have been performed in adherence to the Swiss law of Animal Protection and were approve by the Zurich cantonal veterinary office.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationGiven the large phenotypic variations between mouse models of Alzheimer's disease, different functional connectivity patterns and dynamics are to be expected.
“Yet, given the large phenotypic variations between mouse models of AD (Balducci and Forloni, 2011), different FC patterns and dynamics are to be expected.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Balducci and Forloni, 2011 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThere was no apparent difference related to coregistration in the mean images in the individual groups.
“There was no apparent difference related to coregistration in the mean images in the individual groups as illustrated with 1-and 11-monthold animals (Fig. 1a,b).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataDevelopment of functional connectivity in the somatosensory and motor cortex, as derived from temporal correlation of rs-fMRI signals, occurs during the first months of life in wild-type mice and appears significantly impaired in age-matched ArcAβ mice.
“Development of FC in the somatosensory and motor cortex, as derived from the temporal correlation of rs-fMRI signals, occurs during the first months of life in wild-type mice and appears to be significantly impaired in age-matched ArcA mice.”
Quote in the paperSubstantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
- Rests on an assumption: The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone givenIsoflurane has been shown to reveal predominantly cortical correlations, whereas medetomidine favored the detection of subcortical correlations.
“We have used isoflurane as an anesthetic, which has been shown to reveal predominantly cortical correlations, whereas medetomidine favored the detection of subcortical correlations.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe major finding of the study is early and robust functional changes occurring in ArcAβ transgenic mice, appearing before amyloid deposition as derived from histological analysis and reported earlier for this animal model.
“The major finding of our study relates to the early and robust functional changes occurring in ArcA transgenic mice, appearing before amyloid deposition as derived from histological analysis and reported earlier for this animal model (Knobloch et al., 2007b).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Knobloch et al., 2007b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Rests on an assumption: The observed genotype effects in ArcAβ mice are attributable to cerebral amyloidosis or APP overexpression rather than to other genetic or developmental differences.
- Rests on an assumption: The fractional surface occupied by amyloid plaques in the cortex is a valid measure of amyloid burden relevant to functional connectivity changes.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataAnesthesia resulted in breathing rates of 120 ± 15 breaths per minute.
“Anesthesia resulted in breathing rates of 120 Ϯ 15 breaths per min.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataIsoflurane levels were titrated to achieve animal sedation, with lower doses resulting in excessive motion artifacts.
“We have titrated isoflurane levels to achieve animal sedation, with lower doses resulting in excessive motion artifacts.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataSignal traces from regions of high temporal variance were regressed from the time series for every voxel along with motion parameters, which led to an effective reduction in variance.
“The signal traces were then extracted from these regions and regressed from the time series for every voxel (to account for vascular contributions) along with the motion parameters, which led to an effective reduction in variance in region as indicated by the variance analysis (Fig. 1c).”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataThere were no differences in temporal signal-to-noise ratio between wild-type and transgenic animals, or between male and female animals, at any time point.
“There was no differences in tSNR between wild-type and transgenic animals, or male and females at any time point.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataNeither temporal signal-to-noise ratio nor motion showed a statistically significant effect in the linear mixed model analysis.
“Finally, neither tSNR nor motion showed statistical significant effect in the linear mixed model analysis.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFractional anisotropy evolution during the first months of life has been related to maturation of myelination in rats.
“FA evolution during the first months of life has been related to maturation of myelination in rats (Mengler et al., 2014).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Mengler et al., 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataThese functional deficits are observed before and during the early plaque build-up stage, although there was only marginal decline in functional connectivity after 5 months of age during amyloid plaque buildup.
“These functional deficits are observed before and during the early plaque build-up stage, although there was only marginal decline in FC after 5 months of age during amyloid plaque buildup.”
Quote in the paperSubstantial claim- Rests on an assumption: Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
- Rests on an assumption: The observed genotype effects in ArcAβ mice are attributable to cerebral amyloidosis or APP overexpression rather than to other genetic or developmental differences.
- Rests on an assumption: The fractional surface occupied by amyloid plaques in the cortex is a valid measure of amyloid burden relevant to functional connectivity changes.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataNo visible difference appears between the groups, suggesting the validity of the linear and nonlinear transformation applied.
“No visible difference appears between the groups suggesting the validity of the linear and nonlinear transformation applied.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataVoxelwise regression was performed with the signal extracted from these regions, leading to reduced variance in these regions.
“Voxelwise regression was performed with the signal extracted from these regions, leading to reduced variance in these regions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataThe tSNR is shown per age group and genotype, and indicates a peak at 2 and 21 months, with tSNR values ranging between 105 and 169.
“The tSNR is shown per age group and genotype, and indicates a peak at 2 and 21 months, with tSNR values ranging between 105 and 169 (c).”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Cross-sectional age differences in mice reflect longitudinal development of functional connectivity and white matter structure.
“In this study, ArcA transgenic and wild-type mice were imaged using resting-state fMRI methods across their life-span in a cross-sectional design to analyze changes in FC in relation to the pathology.”
“We have assessed the FC in mice across their lifespan, from 1 to 21 months, in a cross-sectional design using rs-fMRI.”
The paper relies on this without support.
The observed genotype effects in ArcAβ mice are attributable to cerebral amyloidosis or APP overexpression rather than to other genetic or developmental differences.
“Our results suggest cerebral amyloidosis in mice is preceded by impairment of neuronal networks and white matter structures.”
The paper relies on this without support.
Resting-state fMRI-derived functional connectivity in anesthetized mice measures neuronal network connectivity relevant to brain function.
“Functional connectivity was measured as the Pearson correlation coefficient between mean time series from each brain region pairs, corrected with Fisher z-transformation for bounded values.”
The paper relies on this without support.
The fractional surface occupied by amyloid plaques in the cortex is a valid measure of amyloid burden relevant to functional connectivity changes.
“ROI analysis was performed in ImageJ (NIH) to estimate the fractional surface occupied by amyloid plaques by delineating the cortical regions according to the atlas used for the FC analysis.”
The paper relies on this without support.
If amyloid plaques caused functional connectivity changes, a correlation between plaque surface and functional connectivity would be detectable.
“There was however no correlation between the surfaces occupied by amyloid plaques and bilateral correlation between the corresponding areas (Fig. 7c; r ϭ 0.08).”
The paper relies on this without support.
Early functional connectivity and fractional anisotropy changes in ArcAβ mice are relevant to human Alzheimer's disease.
“The results compare well with growing evidence of early functional impairments in humans at risk of developing Alzheimer's disease, such as mid-life APO4 carriers (Sheline et al., 2010a;Canuet et al., 2012) or asymptomatic elderly with amyloid deposition (Hedden et al., 2009;Sperling et al., 2009;Sheline et al., 2010b), and corroborate the reported absence of a correlation between amyloid plaques”
The paper relies on this without support.
The in-house atlas template with 24 ROIs accurately represents the functional organization of the mouse brain.
“Mean time series were extracted from the regressed images using an in-house atlas template based on the functional organization of the mouse brain with 24 different ROIs (Fig. 1d).”
The paper relies on this without support.
A test-retest correlation of r = 0.4–0.58 is sufficient reliability for functional connectivity analysis.
“Variance of the within-subject effect was lower than the residual variance by two orders of magnitude, which is corroborated with a relatively low correlation in test-retest analysis ranging between r ϭ 0.4 and r ϭ 0.58 across cortical pairwise correlations (Fig. 8a).”
The paper relies on this without support.
Isoflurane anesthesia does not differentially affect functional connectivity in ArcAβ transgenic mice compared with wild-type mice.
“All anesthetics interact with neurotransmitter systems, which might be affected in a differential way in different mouse lines.”
“Hence, isoflurane anesthesia may exacerbate the effects of amyloidosis in fMRI studies in these animals.”
The paper relies on this without support.
All anesthetics interact with neurotransmitter systems, which might be affected in a differential way in different mouse lines.
“All anesthetics interact with neurotransmitter systems, which might be affected in a differential way in different mouse lines.”
The authors state this as an assumption.
Interference by anesthesia is a potential confound in the study of functional connectivity in rodents.
“A potential confound in the study of FC in rodents is interference by anesthesia.”
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?
Aβ load at 6 months is low in TG mice compared to 11 months.
“The Ab load at 6 months is low in TG mice compared to 11 months (Grandjean et al., 2014).”
From Disrupted structural connectivity in ArcAβ mouse model of Aβ amyloidosis (2020) · cites this paper as Grandjean et al., 2014
The section “Amyloid plaque deposition starts in the early life stage” reports only anecdotal plaques at 5 months, compared with dense pathology at 11 months. This supports the age-related comparison, but the paper does not report Aβ load at the claimed age of 6 months. (LLM, conf=0.88)
Experimental — accuracy not yet measuredPrevious studies of APP/PS1 and ArcBeta transgenic mice have demonstrated deficits in the functional connectivity of multiple brain regions that is associated with amyloid deposition.
“Previous studies of APP/PS1 and ArcBeta transgenic mice have demonstrated deficits in the functional connectivity of multiple brain regions that is associated with amyloid deposition (Bero et al., 2012; Grandjean et al., 2014; Shah et al., 2013).”
From Functional and structural connectome properties in the 5XFAD transgenic mouse model of Alzheimer’s disease (2018) · cites this paper as Grandjean et al., 2014
The Discussion reports reduced functional connectivity in ArcAβ mice, particularly early in life, so the deficit portion is supported. But those changes appeared before amyloid deposition, and the paper says it could not correlate them with plaque burden. The cited paper discusses APP/PS1 findings from another study rather than demonstrating APP/PS1 deficits itself. (LLM, conf=0.90)
Experimental — accuracy not yet measuredDTI shows sensitivity to axon and myelin pathology, where breakdown of white matter integrity results in measurable differences in diffusion of water molecules.
“DTI shows sensitivity to axon and myelin pathology, where breakdown of white matter integrity results in measurable differences in diffusion of water molecules [15,16].”
From Diffusion tensor imaging reveals whole-brain microstructural changes in the P301L mouse model of tauopathy. (2020) · cites this paper as [15]
The Abstract (page unavailable) reports reduced fractional anisotropy measured by DTI as evidence of altered white matter structure in mice. The Discussion (page unavailable) relates FA changes to myelination, but the paper does not establish sensitivity to both axon and myelin pathology or explain the changes as differences in water-molecule diffusion. (LLM, conf=0.83)
Experimental — accuracy not yet measured
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.
Different genotype-effect p values for the same FA plot
MinorThe Results and Figure 6 caption give different genotype-effect p values for the anterior external capsule analysis in Figure 6f.
“ROI analysis illustrates the difference in FA in the anterior external capsule in both wild-type and transgenic mice (Fig. 6f; genotype effect: p ϭ 1.6 ϫ 10 Ϫ3 , age effect: p ϭ 1.7 ϫ 10 Ϫ7 )”
“ROI analysis shows the maximum FA value along a line profile across the anterior external capsule (ROI ec ant , f; genotype effect: p ϭ 1.3 ϫ 10 Ϫ3 )”
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“Human brain appears organized into 10 –15 networks (Damoiseaux et al., 2006), among which, the default mode network (DMN) has gained attention in AD due to its colocalization with amyloid plaques (Greicius et al., 2003; Buckner et al., 2005).”
BackgroundConsistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326 · cited 2× · see citing works
“Human brain appears organized into 10 –15 networks (Damoiseaux et al., 2006), among which, the default mode network (DMN) has gained attention in AD due to its colocalization with amyloid plaques (Greicius et al., 2003; Buckner et al., 2005).”
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“…spatial and temporal, differ from patterns observed in AD patients, which is marked with early altered FC in the default mode network and aggravated FC in the transition from mild cognitive impairments to AD (Greicius et al., 2004; Rombouts et al., 2005; Sorg et al., 2007; Sheline et al., 2010a,b).”
BackgroundBuckner, R. L., Snyder, A. Z., Shannon, B. J., LaRossa, G., Sachs, R., Fotenos, A. F., Sheline, Y. I., Klunk, W. E., Mathis, C. A., Morris, J. C., et al. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2177-05.2005 · Cited by 2,140 · cited 2× · see citing works
“Human brain appears organized into 10 –15 networks (Damoiseaux et al., 2006), among which, the default mode network (DMN) has gained attention in AD due to its colocalization with amyloid plaques (Greicius et al., 2003; Buckner et al., 2005).”
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“The occurrence of amyloid plaques in brain parenchyma and around the cerebral vessels constitutes a hallmark of Alzheimer’s disease (AD; Iwatsubo et al., 1994).”
BackgroundSelective changes of resting-state networks in individuals at risk for Alzheimer’s disease
Sorg, C., Riedl, V., Mühlau, M., Calhoun, V. D., Eichele, T., Läer, L., Drzezga, A., Förstl, H., Kurz, A., Zimmer, C., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0708803104 · Cited by 1,036 · cited 3× · see citing works
“Additionally, DMN connectivity was reported affected in subjects at risk of developing AD including patients with mild cognitive impairment (Rombouts et al., 2005; Sorg et al., 2007), in cognitively healthy elders with amyloid deposits (Hedden et al.”
BackgroundSperling, R. A., LaViolette, P. S., O'Keefe, K., O'Brien, J., Rentz, D. M., Pihlajamaki, M., Marshall, G., Hyman, B. T., Selkoe, D. J., Hedden, T., et al. (2009) · Neuron · doi:10.1016/j.neuron.2009.07.003 · Cited by 1,027 · cited 3× · see citing works
“, 2007), in cognitively healthy elders with amyloid deposits (Hedden et al., 2009; Sperling et al., 2009; Sheline et al., 2010b), and in midlife carriers of APO 4 risk allele (Sheline et al.”
BackgroundNeurotoxicity of Amyloid -Protein: Synaptic and Network Dysfunction
Mucke, L., & Selkoe, D. J. (2012) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a006338 · Cited by 1,000 · cited 1× · see citing works
“In AD, plaque deposits, fibrils, and oligomers of A are considered essential mediators in the pathophysiological cascade leading to cognitive decline (Mucke and Selkoe, 2012).”
BackgroundNeuronal activity regulates the regional vulnerability to amyloid-β deposition
Bero, A. W., Yan, P., Roh, J. H., Cirrito, J. R., Stewart, F. R., Raichle, M. E., Lee, J.-M., & Holtzman, D. M. (2011) · Nature Neuroscience · doi:10.1038/nn.2801 · Cited by 880 · cited 1× · see citing works
“The discrepancy in regional FC impairments between mice and human might be related to a link between neuronal activity and A release affecting FC strength and amyloid deposition in later life (Bero et al., 2011, 2012).”
BackgroundBrain Imaging in Alzheimer Disease
Johnson, K. A., Fox, N. C., Sperling, R. A., & Klunk, W. E. (2012) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a006213 · Cited by 875 · cited 1× · see citing works
“Marked functional impairments have been observed in patients with AD using fMRI (Greicius et al., 2004; Johnson et al., 2012).”
BackgroundRombouts, S. A. R. B., Barkhof, F., Goekoop, R., Stam, C. J., & Scheltens, P. (2005) · Human Brain Mapping · doi:10.1002/hbm.20160 · Cited by 734 · cited 5× · see citing works
“, 2014), but inconsistent with the observed aggravation of FC associated with transition from preclinical to clinical AD (Rombouts et al., 2005).”
BackgroundInfluentialWeller, R. O., Massey, A., Newman, T. A., Hutchings, M., Kuo, Y.-M., & Roher, A. E. (1998) · The American Journal of Pathology · doi:10.1016/s0002-9440(10)65616-7 · Cited by 679 · cited 1× · see citing works
“Alzheimer’s disease often involves amyloid deposition around the vasculature (Weller et al., 1998), which inherently affects the neurovascular coupling and potentially masks FC measured on the basis of hemodynamic readouts, such as BOLD fMRI (Nicolakakis and Hamel, 2011) and intrinsic optical…”
BackgroundKuchibhotla, K. V., Goldman, S. T., Lattarulo, C. R., Wu, H.-Y., Hyman, B. T., & Bacskai, B. J. (2008) · Neuron · doi:10.1016/j.neuron.2008.06.008 · Cited by 614 · cited 4× · see citing works
“A peptides in various forms have been linked to alterations in cerebral calcium homeostasis (Kuchibhotla et al., 2008), axonal guidance (Cao et al.”
BackgroundInfluentialDisruption of Functional Connectivity in Clinically Normal Older Adults Harboring Amyloid Burden
Hedden, T., Van Dijk, K. R. A., Becker, J. A., Mehta, A., Sperling, R. A., Johnson, K. A., & Buckner, R. L. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3189-09.2009 · Cited by 598 · cited 3× · see citing works
“, 2007), in cognitively healthy elders with amyloid deposits (Hedden et al., 2009; Sperling et al., 2009; Sheline et al., 2010b), and in midlife carriers of APO 4 risk allele (Sheline et al.”
BackgroundSheline, Y. I., Raichle, M. E., Snyder, A. Z., Morris, J. C., Head, D., Wang, S., & Mintun, M. A. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.08.024 · Cited by 597 · see citing works
Sheline, Y. I., Morris, J. C., Snyder, A. Z., Price, J. L., Yan, Z., D’Angelo, G., Liu, C., Dixit, S., Benzinger, T. L. S., Fagan, A. M., et al. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.3987-10.2010 · Cited by 430 · see citing works
Altered morphology and 3D architecture of brain vasculature in a mouse model for Alzheimer's disease
Meyer, E. P., Ulmann-Schuler, A., Staufenbiel, M., & Krucker, T. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0709788105 · Cited by 260 · cited 2× · see citing works
“, 2013), as well as damaged capillary systems (Meyer et al., 2008).”
BackgroundIntracellular Aβ and cognitive deficits precede β-amyloid deposition in transgenic arcAβ mice
Knobloch, M., Konietzko, U., Krebs, D. C., & Nitsch, R. M. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.06.019 · Cited by 259 · cited 5× · see citing works
“The findings are in accordance with the previous description of amyloid pathology and cognitive deficits early in this mouse model (Knobloch et al., 2007b), and reduced synaptic long term potentiation observed at 3.5 months (Knobloch et al., 2007a).”
BackgroundResultInfluentialSelf-citationTime Course of the Development of Alzheimer-like Pathology in the Doubly Transgenic PS1+APP Mouse
Gordon, M. N., Holcomb, L. A., Jantzen, P. T., DiCarlo, G., Wilcock, D., Boyett, K. W., Connor, K., Melachrino, J., O'Callaghan, J. P., & Morgan, D. (2002) · Experimental Neurology · doi:10.1006/exnr.2001.7754 · Cited by 247 · cited 1× · see citing works
“DOI:10.1523/JNEUROSCI.4762-13.2014 Copyright © 2014 the authors 0270-6474/14/3413780-10$15.00/0 Animal models of amyloid pathology offer an experimental platform to studying AD (Gordon et al., 2002).”
BackgroundInfluentialDiffusion tensor imaging in Alzheimer’s disease and mild cognitive impairment.
Stebbins, G. T., & Murphy, C. M. (2009) · Behavioural Neurology · doi:10.1155/2009/915041 · Cited by 245 · see citing works
Merlini, M., Meyer, E. P., Ulmann-Schuler, A., & Nitsch, R. M. (2011) · Acta Neuropathologica · doi:10.1007/s00401-011-0834-y · Cited by 225 · cited 4× · see citing works
“The ArcA model displays vascular pathology at a young age (Merlini et al., 2011) leading in old animals to cerebral microbleeds (Klohs et al.”
BackgroundInfluentialSelf-citationBidirectional Relationship between Functional Connectivity and Amyloid-β Deposition in Mouse Brain
Bero, A. W., Bauer, A. Q., Stewart, F. R., White, B. R., Cirrito, J. R., Raichle, M. E., Culver, J. P., & Holtzman, D. M. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.5845-11.2012 · Cited by 181 · cited 6× · see citing works
“In AD, plaque deposits, fibrils, and oligomers of A are considered essential mediators in the pathophysiological cascade leading to cognitive decline (Mucke and Selkoe, 2012).”
BackgroundInfluentialUncovering Intrinsic Connectional Architecture of Functional Networks in Awake Rat Brain
Liang, Z., King, J. A., & Zhang, N. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.4557-10.2011 · Cited by 180 · cited 2× · see citing works
“Although it has been reported that rats could be trained to undergo fMRI sessions in awake state (Liang et al., 2011), FC studies have been reported as being difficult to apply in mice due to difficulties in acclimating the animals (Jonckers et al.”
BackgroundCanuet, L., Tellado, I., Couceiro, V., Fraile, C., Fernandez-Novoa, L., Ishii, R., Takeda, M., & Cacabelos, R. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046289 · Cited by 163 · see citing works
Neurovascular function in Alzheimer's disease patients and experimental models
Nicolakakis, N., & Hamel, E. (2011) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2011.43 · Cited by 156 · cited 2× · see citing works
“…involves amyloid deposition around the vasculature (Weller et al., 1998), which inherently affects the neurovascular coupling and potentially masks FC measured on the basis of hemodynamic readouts, such as BOLD fMRI (Nicolakakis and Hamel, 2011) and intrinsic optical imaging (Bero et al., 2012).”
BackgroundJonckers, E., Delgado y Palacios, R., Shah, D., Guglielmetti, C., Verhoye, M., & Van der Linden, A. (2014) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24990 · Cited by 155 · see citing works
Brain maturation of the adolescent rat cortex and striatum: Changes in volume and myelination
Mengler, L., Khmelinskii, A., Diedenhofen, M., Po, C., Staring, M., Lelieveldt, B. P. F., & Hoehn, M. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.034 · Cited by 141 · cited 1× · see citing works
“FA evolution during the first months of life has been related to maturation of myelination in rats (Mengler et al., 2014).”
BackgroundKnobloch, M., Farinelli, M., Konietzko, U., Nitsch, R. M., & Mansuy, I. M. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.0395-07.2007 · Cited by 117 · cited 5× · see citing works
“The findings are in accordance with the previous description of amyloid pathology and cognitive deficits early in this mouse model (Knobloch et al., 2007b), and reduced synaptic long term potentiation observed at 3.5 months (Knobloch et al., 2007a).”
BackgroundResultInfluentialSelf-citationNicholson, R. M., Kusne, Y., Nowak, L. A., LaFerla, F. M., Reiman, E. M., & Valla, J. (2010) · Brain Research · doi:10.1016/j.brainres.2010.05.084 · Cited by 107 · cited 2× · see citing works
“Although, in humans, the DMN is the metabolically most active network in the brain at rest (Raichle et al., 2001), the somatosensory cortex appears as metabolically active as the cingulate in mice (Nicholson et al., 2010).”
BackgroundAβ alters the connectivity of olfactory neurons in the absence of amyloid plaques in vivo
Cao, L., Schrank, B. R., Rodriguez, S., Benz, E. G., Moulia, T. W., Rickenbacher, G. T., Gomez, A. C., Levites, Y., Edwards, S. R., Golde, T. E., et al. (2012) · Nature Communications · doi:10.1038/ncomms2013 · Cited by 93 · cited 2× · see citing works
“A peptides in various forms have been linked to alterations in cerebral calcium homeostasis (Kuchibhotla et al., 2008), axonal guidance (Cao et al., 2012), axonal transport, and/or synaptic signaling (Knobloch et al., 2007a), processes that ultimately might translate into impaired neural function.”
BackgroundKlohs, J., Deistung, A., Schweser, F., Grandjean, J., Dominietto, M., Waschkies, C., Nitsch, R. M., Knuesel, I., Reichenbach, J. R., & Rudin, M. (2011) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2011.118 · Cited by 83 · cited 2× · see citing works
“, 2011) leading in old animals to cerebral microbleeds (Klohs et al., 2011), impaired vascular reactivity (Princz-Kranz et al.”
BackgroundSelf-citationAPP transgenic mice: their use and limitations
Balducci, C., & Forloni, G. (2011) · NeuroMolecular Medicine · doi:10.1007/s12017-010-8141-7 · Cited by 79 · cited 1× · see citing works
“Yet, given the large phenotypic variations between mouse models of AD (Balducci and Forloni, 2011), different FC patterns and dynamics are to be expected.”
BackgroundKrantic, S., Isorce, N., Mechawar, N., Davoli, M. A., Vignault, E., Albuquerque, M., Chabot, J.-G., Moyse, E., Chauvin, J.-P., Aubert, I., et al. (2012) · Journal of Alzheimer's Disease · doi:10.3233/jad-2011-110830 · Cited by 78 · cited 1× · see citing works
“For example the GABAergic system, being a target of several anesthetics including isoflurane (Kotani and Akaike, 2013), appears to be affected by amyloid toxicity already in early life of transgenic animals of cerebral amyloidosis (Krantic et al., 2012).”
BackgroundKlohs, J., Baltes, C., Princz-Kranz, F., Ratering, D., Nitsch, R. M., Knuesel, I., & Rudin, M. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.5626-11.2012 · Cited by 73 · cited 1× · see citing works
“The ArcA model displays vascular pathology at a young age (Merlini et al., 2011) leading in old animals to cerebral microbleeds (Klohs et al., 2011), impaired vascular reactivity (Princz-Kranz et al., 2010), and vascular remodeling (Klohs et al., 2012).”
BackgroundSelf-citationCortical atrophy and hypoperfusion in a transgenic mouse model of Alzheimer's disease
Hébert, F., Grand’Maison, M., Ho, M., Lerch, J. P., Hamel, É., & Bedell, B. J. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.11.022 · Cited by 62 · cited 2× · see citing works
“A number of structural and functional consequences of vasculopathy have been reported in murine models of amyloidosis, such as reduced cortical blood flow already early in life (Hébert et al., 2013), as well as damaged capillary systems (Meyer et al.”
BackgroundThe effects of volatile anesthetics on synaptic and extrasynaptic GABA-induced neurotransmission
Kotani, N., & Akaike, N. (2012) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2012.08.001 · Cited by 61 · cited 2× · see citing works
“For example the GABAergic system, being a target of several anesthetics including isoflurane (Kotani and Akaike, 2013), appears to be affected by amyloid toxicity already in early life of transgenic animals of cerebral amyloidosis (Krantic et al., 2012).”
BackgroundCastellani, R. J., Smith, M. A., Perry, G., & Friedland, R. P. (2004) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2003.12.019 · Cited by 57 · cited 1× · see citing works
“A potential contribution of altered neurovascular coupling should also be considered when interpreting functional impairments in AD patients as derived from fMRI studies, as a significant fraction of these patients is affected by severe vasculopathy (Castellani et al., 2004).”
BackgroundAmyloid and its association with default network integrity in Alzheimer's disease
Adriaanse, S. M., Sanz‐Arigita, E., Binnewijzend, M. A. A., Ossenkoppele, R., Tolboom, N., van Assema, D. M. E., Wink, A. M., Boellaard, R., Yaqub, M. M., Windhorst, A. D., et al. (2012) · Human Brain Mapping · doi:10.1002/hbm.22213 · Cited by 47 · cited 3× · see citing works
“Another discrepancy with regards to human pathological progression related to the marginal decline in FC in ArcA mice between 5 and 21 months of age despite massively increasing amyloid plaque load, consistent with the dissociation between amyloid load and connectivity (Adriaanse et al., 2014), but inconsistent with t…”
BackgroundResultInfluentialVoxel-based diffusion tensor imaging of an APP/PS1 mouse model of Alzheimer’s disease.
Shu, X., Qin, Y.-Y., Zhang, S., Jiang, J.-J., Zhang, Y., Zhao, L.-Y., Shan, D., & Zhu, W.-Z. (2013) · Molecular Neurobiology · doi:10.1007/s12035-013-8418-6 · Cited by 41 · cited 1× · see citing works
“Diffusion tensor imaging in the APP/PS1 model revealed a FA difference map overlapping with our results, including increased FA in the minor forceps (Shu et al., 2013).”
ResultPrincz-Kranz, F. L., Mueggler, T., Knobloch, M., Nitsch, R. M., & Rudin, M. (2010) · Neurobiology of Disease · doi:10.1016/j.nbd.2010.06.002 · Cited by 28 · cited 1× · see citing works
“The ArcA model displays vascular pathology at a young age (Merlini et al., 2011) leading in old animals to cerebral microbleeds (Klohs et al., 2011), impaired vascular reactivity (Princz-Kranz et al., 2010), and vascular remodeling (Klohs et al., 2012).”
BackgroundSelf-citationCastellani, R. J. (2004) · Neurobiology of Aging · doi:10.1016/s0197-4580(04)00092-2 · Cited by 1
Hedden, T. (2010) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2010.05.525
Klohs, J., Baltes, C., Princz-Kranz, F. L., et al. (2012) · Repository for Publications and Research Data (ETH Zurich) · doi:10.3929/ethz-c-000059100
Self-citationGlover (2000) · doi:10.1002/1522-2594(200007)44:1
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Large-scale functional connectivity networks in the rodent brain
Gozzi, A., & Schwarz, A. J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.12.017 · Cited by 214 · see citing works
“Similar rsfMRI networks in the mouse brain have been recently identified by other groups (Grandjean et al., 2014a; Nasrallah et al., 2014b; Mechling et al., 2014), and their pharmacological modulation by cholinergic and serotonergic agents has also been demonstrated (Shah et al., 2015a; Shah et…”
BackgroundMethodResultInfluentialCommon functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis
Grandjean, J., Canella, C., Anckaerts, C., Ayrancı, G., Bougacha, S., Bienert, T., Buehlmann, D., Coletta, L., Gallino, D., Gass, N., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116278 · Cited by 221 · see citing works
Self-citationMapping the mouse brain with rs-fMRI: an optimized pipeline for functional network identification
Zerbi, V., Grandjean, J., Rudin, M., & Wenderoth, N. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.090 · Cited by 178 · see citing works
Self-citationDá Mesquita, S., Ferreira, A. C., Sousa, J. C., Correia-Neves, M., Sousa, N., & Marques, F. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.06.014 · Cited by 166 · see citing works
The power of using functional fMRI on small rodents to study brain pharmacology and disease
Jonckers, E., Shah, D., Hamaide, J., Verhoye, M., & der Linden, A. V. (2015) · Frontiers in Pharmacology · doi:10.3389/fphar.2015.00231 · Cited by 120 · see citing works
Shah, D., Praet, J., Latif‐Hernandez, A., Höfling, C., Anckaerts, C., Bard, F., Morawski, M., Detrez, J. R., Prinsen, E., Villa, A. M., et al. (2016) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2016.03.010 · Cited by 100 · see citing works
“[25] demonstrated hyposynchronous BOLD FC before Ab plaque deposition in the arc-Ab mouse model.”
BackgroundCanuet, L., Pusil, S. A., López, M. E., Bajo, R., Pineda‐Pardo, J. A., Cuesta, P., Gálvez, G., Gaztelu, J. M., Lourido, D., García‐Ribas, G., et al. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0704-15.2015 · Cited by 97 · see citing works
“Increasing evidence indicates that synaptic dysfunction is a core deficit in Alzheimer’s disease, preceding hallmark pathological abnormalities (Kim et al., 2013; Grandjean et al., 2014).”
BackgroundGrandjean, J., Azzinnari, D., Seuwen, A., Sigrist, H., Seifritz, E., Pryce, C. R., & Rudin, M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.013 · Cited by 92 · see citing works
“In mice, rs-fMRI has been applied to demonstrate that structurally connected brain areas also exhibit FC, that brain topology and networks exhibit homology with primate species (Stafford et al., 2014), and that network alterations are sensitive indicators of pathology (Grandjean et al., 2014b).”
Self-citationYoshida, K., Mimura, Y., Ishihara, R., Nishida, H., Komaki, Y., Minakuchi, T., Tsurugizawa, T., Mimura, M., Okano, H., Tanaka, K. F., et al. (2016) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2016.09.013 · Cited by 86 · see citing works
Functional networks and network perturbations in rodents
Chuang, K., & Nasrallah, F. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.038 · Cited by 80 · see citing works
XNAT Central: Open sourcing imaging research data
Herrick, R., Horton, W., Olsen, T., McKay, M., Archie, K. A., & Marcus, D. S. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.06.076 · Cited by 62 · see citing works
“…provides clinical, cognitive, genetic, and imaging data for 450 subjects, includingmanywith diagnosed schizophrenia (Wang et al., 2013); and animal studies on cerebral amyloidosis (Grandjean et al., 2014) and functional networksmeasuredwith diffuse optical tomography (Eggebrecht et al., 2014).”
BackgroundAnckaerts, C., Blockx, I., Summer, P., Michael, J., Hamaide, J., Kreutzer, C., Boutin, H., Couillard‐Després, S., Verhoye, M., & der Linden, A. V. (2018) · Neurobiology of Disease · doi:10.1016/j.nbd.2018.11.010 · Cited by 62 · see citing works
Identifying Rodent Resting-State Brain Networks with Independent Component Analysis
Bajic, D., Craig, M. M., Mongerson, C. R., Borsook, D., & Becerra, L. R. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00685 · Cited by 55 · see citing works
“, 2014), characterize disease course (Shah et al., 2013; Grandjean et al., 2014) and evaluate clinical treatment efficacies (Little et al.”
BackgroundGrandjean, J., Derungs, R., Kulic, L., Welt, T., Henkelman, M., Nitsch, R. M., & Rudin, M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.042 · Cited by 48 · see citing works
“For instance, the ArcAβ model (Grandjean et al., 2014) is characterized by intracellular amyloid deposits, extracellular plaques, as well as marked vascular pathology (Klohs et al., 2011; Knobloch et al., 2007a; Merlini et al., 2011), thus rendering it difficult to attribute the fMRI changes to a…”
InfluentialSelf-citationEmerging imaging methods to study whole-brain function in rodent models
Markicevic, M., Savvateev, I., Grimm, C., & Zerbi, V. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01575-5 · Cited by 54 · see citing works
Hypertension, cerebrovascular impairment, and cognitive decline in aged AβPP/PS1 mice
Wiesmann, M., Zerbi, V., Jansen, D., Lütjohann, D., Veltien, A. A., Heerschap, A., & Kiliaan, A. J. (2017) · Theranostics · doi:10.7150/thno.18509 · Cited by 52 · see citing works
“In support, a mouse model for cerebral amyloidosis demonstrated a compromised FC affecting the sensory motor cortex already in pre-plaque stage [87].”
BackgroundDynamic reorganization of intrinsic functional networks in the mouse brain
Grandjean, J., Preti, M. G., Bolton, T. A. W., Buerge, M., Seifritz, E., Pryce, C. R., Ville, D. V. D., & Rudin, M. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.026 · Cited by 48 · see citing works
“Isoflurane has been reported to reduce FC in the striatum, while medetomidine reduces cortical FC in a dose-dependent fashion (Grandjean et al., 2014a; Nasrallah et al., 2014).”
BackgroundResultInfluentialSelf-citationWiesmann, M., Roelofs, M., Lugt, R. V. D., Heerschap, A., Kiliaan, A. J., & Claassen, J. A. H. R. (2016) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x16667364 · Cited by 45 · see citing works
“In support, a preclinical study using a mouse model for cerebral amyloidosis showed a compromised FC resulting in functional impairments affecting the sensory motor cortex already in pre-plaque stage.(81) In the current study, we showed that in a hypertension model a reduction in FC could be introduced via AngII-induc…”
BackgroundKelberman, M. A., Keilholz, S. D., & Weinshenker, D. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.583421 · Cited by 43 · see citing works
Al‐Ezzi, A. A. A., Arechavala, R. J., Butler, R., Nolty, A., Kang, J. J. H., Shinsuke Shimojo, A., Wu, D.-A. J., Fonteh, A. N., Kleinman, M. T., Kloner, R. A., et al. (2024) · Communications Biology · doi:10.1038/s42003-024-06673-w · Cited by 42 · see citing works
“It has been found that synaptic dysfunction is a fundamental de fi cit in AD, preceding the emergence of hallmark pathological changes 51 .”
Shofty, B., Bergmann, E., Zur, G., Asleh, J., Bosak, N., Kavushansky, A., Castellanos, F. X., Ben‐Sira, L., Packer, R. J., Vézina, G., et al. (2019) · Neurobiology of Disease · doi:10.1016/j.nbd.2019.104479 · Cited by 42 · see citing works
“, 2013; Fox and Raichle, 2007) and rodents (Grandjean et al., 2014; Lu et al., 2012; Sforazzini et al., 2014; Stafford et al., 2014; Zerbi et al., 2014) to study brain organization in health and disease, fcMRI enables direct cross-species comparison (Bergmann et al.”
Pietzuch, M., King, A. E., Ward, D. D., & Vickers, J. C. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00030 · Cited by 41 · see citing works
Green, C., Sydow, A., Vogel, S. N., Anglada‐Huguet, M., Wiedermann, D., Mandelkow�, E., Mandelkow, E., & Hoehn, M. (2019) · Molecular Neurodegeneration · doi:10.1186/s13024-019-0316-6 · Cited by 38 · see citing works
“5%, following a protocol described earlier [22, 35].”
Aquaporin 4 is differentially increased and dislocated in association with tau and amyloid-beta
Kecheliev, V., Boss, L., Maheshwari, U., Konietzko, U., Keller, A., Razansky, D., Nitsch, R. M., Klohs, J., & Ni, R. (2023) · Life Sciences · doi:10.1016/j.lfs.2023.121593 · Cited by 34 · see citing works
Self-citationWu, T., Grandjean, J., Bosshard, S. C., Rudin, M., Reutens, D. C., & Jiang, T. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.074 · Cited by 36 · see citing works
“…contribution to neuroscience research given the use of murine models in pharmacological studies (Shah et al., 2015, Shah et al., 2016) and the wide availability of transgenic mouse models (Shah et al., 2013, Grandjean et al., 2014b, Zhan et al., 2014, Haberl et al., 2015, Grandjean et al., 2016).”
BackgroundSelf-citationKesler, S. R., Acton, P., Rao, V., & Ray, W. J. (2018) · Network Neuroscience · doi:10.1162/netn_a_00048 · Cited by 34 · see citing works
“Previous studies of APP/PS1 and ArcBeta transgenic mice have demonstrated deficits in the functional connectivity of multiple brain regions that is associated with amyloid deposition (Bero et al., 2012; Grandjean et al., 2014; Shah et al., 2013).”
BackgroundMagnetic Resonance Imaging in Animal Models of Alzheimer’s Disease Amyloidosis
Ni, R. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222312768 · Cited by 33 · see citing works
Neuroimaging of mouse models of Alzheimer’s disease
Jullienne, A., Trinh, M. V., & Obenaus, A. (2022) · Biomedicines · doi:10.3390/biomedicines10020305 · Cited by 32 · see citing works
Schroeter, A., Grandjean, J., Schlegel, F., Saab, B. J., & Rudin, M. (2016) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x16666292 · Cited by 29 · see citing works
Self-citationMassalimova, A., Ni, R., Nitsch, R. M., Reisert, M., von Elverfeldt, D., & Klohs, J. (2020) · Neurodegenerative Diseases · doi:10.1159/000515754 · Cited by 28 · see citing works
Self-citationA guide to using functional magnetic resonance imaging to study Alzheimer's disease in animal models
Asaad, M., & Lee, J. H. (2018) · Disease Models & Mechanisms · doi:10.1242/dmm.031724 · Cited by 26 · see citing works
“…not many studies looking at functional connectivity in resting state networks exist in AD rodents, although more have been performed recently (Grandjean et al., 2014b, 2016; Latif-Hernandez et al., 2017; Little et al., 2012; Nuriel et al., 2017; Parent et al., 2017; Shah et al., 2013, 2016;…”
InfluentialAsleh, J., Shofty, B., Cohen, N., Kavushansky, A., López‐Juárez, A., Constantini, S., Ratner, N., & Kahn, I. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2008391117 · Cited by 25 · see citing works
Brain network remodelling reflects tau-related pathology prior to memory deficits in Thy-Tau22 mice
Degiorgis, L., Karatas, M., Sourty, M., Faivre, É., Lamy, J., Noblet, V., Bienert, T., Reisert, M., von Elverfeldt, D., Buée, L., et al. (2020) · Brain · doi:10.1093/brain/awaa312 · Cited by 25 · see citing works
Buehlmann, D., Grandjean, J., Xandry, J., & Rudin, M. (2018) · Pain · doi:10.1097/j.pain.0000000000001148 · Cited by 22 · see citing works
“ROI-based network analysis was conducted using anatomical ROI s of 24 predefined regions [22] extracting time course data with fslmaths.”
MethodSelf-citationImbalance in the response of pre- and post-synaptic components to amyloidopathy
Stephen, T., Tamagnini, F., Piegsa, J., Sung, K., Harvey, J., Oliver‐Evans, A., Murray, T. K., Ahmed, Z., Hutton, M. L., Randall, A. D., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-50781-1 · Cited by 21 · see citing works
Kuchling, J., Jurek, B., Kents, M., Kreye, J., Geis, C., Wickel, J., Mueller, S. G., Koch, S., Boehm‐Sturm, P., Prüß, H., et al. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02303-9 · Cited by 20 · see citing works
“Future research efforts will therefore encompass NR1 antibody mouse models with larger sample sizes and extensive behavioral and cognitive testing batteries to investigate correlations between phenotypic abnormalities and MR functional connectivity changes.”
BackgroundIelacqua, G. D., Schlegel, F., Füchtemeier, M., Xandry, J., Rudin, M., & Klohs, J. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00241 · Cited by 17 · see citing works
“…techniques have demonstrated a reduction of relative CBV (rCBV), cerebral blood flow (rCBF), and functional connectivity (Wu et al., 2004a; Weidensteiner et al., 2009; Massaad et al., 2010; Faure et al., 2011; Poisnel et al., 2012; Hébert et al., 2013; Zerbi et al., 2013; Grandjean et al., 2014).”
BackgroundMethodSelf-citationMandino, F., Yeow, L. Y., Bi, R., Sejin, L., Bae, H. G., Baek, S. H., Lee, C.-Y., Mohammad, H., Teoh, C. L., Horien, C. L., et al. (2022) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x221082016 · Cited by 16 · see citing works
Self-citationMouse models of neurodegenerative disease: preclinical imaging and neurovascular component
Albanese, S., Greco, A., Auletta, L., & Mancini, M. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9770-3 · Cited by 16 · see citing works
Motor deficits are independent of axonopathy in an Alzheimer's disease mouse model of TgCRND8 mice
Yuan, Q., Yang, J. F., Wu, W., & Lin, Z. (2017) · Oncotarget · doi:10.18632/oncotarget.18429 · Cited by 13 · see citing works
“A recent study has shown early alterations in brain functional connectivity (FC) in ArcAβ transgenic mice - another AD mouse model [44].”
BackgroundGreicius, M. D. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-800105-9.00016-0 · Cited by 14 · see citing works
der Linden, A. V., & Hoehn, M. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.815552 · Cited by 11 · see citing works
Magnetic Resonance Imaging in Tauopathy Animal Models
Ni, R. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.791679 · Cited by 8 · see citing works
Detrez, J. R., Ben-Nejma, I. R. H., Kolen, K. V., Dam, D. V., Deyn, P. P. D., Fransén, E., Verhoye, M., Timmermans, J., Nuydens, R., der Linden, A. V., et al. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.105011 · Cited by 10 · see citing works
“While various amyloid mouse models display changes in resting-state functional networks that are also observed in AD patients (Bero et al., 2012; Shah et al., 2013, 2016b, 2018; Sheline and Raichle, 2013; Grandjean et al., 2014; Manno et al., 2019), the picture is currently less clear for tauopathy models (Liu et al.”
BackgroundFebo, M., Mahar, R., Rodriguez, N. A., Buraima, J., Pompilus, M., Pinto, A. M., Grudny, M. M., Bruijnzeel, A. W., & Merritt, M. E. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1356086 · Cited by 9 · see citing works
“However, whereas we observed decreases with age, Grandjean and colleagues (Grandjean et al., 2014b) observed increases in control aging mice.”
BackgroundInfluentialHall, G. R., Boehm‐Sturm, P., Dirnagl, U., Finke, C., Foddis, M., Harms, C., Koch, S. P., Kuchling, J., Madan, C. R., Mueller, S., et al. (2022) · Stroke · doi:10.1161/strokeaha.121.036997 · Cited by 9 · see citing works
“9,10 There are also reports that reduced cortical functional connectivity precedes amyloid plaque deposition in a mouse model of Alzheimer disease 11 and is correlated with tau aggregation.”
BackgroundPositron emission tomography imaging of the social brain of common marmosets
Yokoyama, C., & Onoe, H. (2015) · Neuroscience Research · doi:10.1016/j.neures.2014.12.006 · Cited by 9 · see citing works
Lack of FKBP51 Shapes Brain Structure and Connectivity in Male Mice
Engelhardt, C., Boulat, B., Czisch, M., & Schmidt, M. V. (2020) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.27439 · Cited by 8 · see citing works
“Comparative in vivo neuroimaging using mice is probably the method most conducive to translate between the human evidence for altered brain states in psychiatric disorders and animal models thereof.(18,19) Moreover, the availability of genetically engineered mice provides a unique opportunity to investigate underlying…”
MethodAdvanced preclinical functional magnetic resonance imaging of the brain
Klohs, J., Chen, W. C., & Araki, R. (2025) · npj Imaging · doi:10.1038/s44303-025-00085-z · Cited by 7 · see citing works
“To this end, resting-state fMRI studies have been applied in numerous disease conditions, including Alzheimer ’ s disease 2 , schizophrenia 3 , anxiety 70 , pain 71 , and autism 72 – 74 , and to monitor the effect of novel treatments 75,76 .”
Self-citationZimmer, A. R., Bourourou, M., Lesage, F., & Hamel, É. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70402 · Cited by 6 · see citing works
“8,45,53,60 Hyper-connectivity patterns are interpreted as compensatory mechanisms to maintain communication and cognitive function in aging and AD, 8,16,61 possibly reflecting system-level responses to neuronal injury before disease onset.”
Chakravarty, M. M., & Guma, E. (2021) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.210172 · Cited by 5 · see citing works
Reduced Prefrontal-Thalamic Theta Flow During Working Memory Retrieval in APP/PS1 Mice
Zhang, S., Ai, H., Wang, J., Liu, T., Zheng, X., Tian, X., & Bai, W. (2024) · Journal of Alzheimer s Disease · doi:10.3233/jad-231078 · Cited by 3 · see citing works
Wang, Z., Li, H., Shi, B., Qin, Q., Ye, Q., & Thompson, G. J. (2025) · Network Neuroscience · doi:10.1162/netn.a.28 · Cited by 3 · see citing works
“Multiple dosing of the bolus was used as it reduces animal mortality and dramatically improves the mouse physiological state (de Arce et al., 2023; Johnson et al., 2018; Li, Ye, et al., 2024) and thus improves FC as compared with urethane studies that used a single bolus (Grandjean, Schroeter, Batata, et al., 2014).”
Preserved functional networks in a hydrocephalic mouse
Mandino, F., Yeow, L. Y., Gigg, J., Olivo, M., & Grandjean, J. (2019) · Matters · doi:10.19185/matters.201905000001 · Cited by 3 · see citing works
“Recent interest in rodent imaging has focused on FC imaging, using rs-fMRI, with the motivation to understand the functional reorganization taking place in murine models of brain disorders ranging from Alzheimer’s disease [9] [10] [11] [12] to autism and depression [13] [14].”
BackgroundSelf-citationKuchling, J., Jurek, B., Kents, M., Kreye, J., Geis, C., Wickel, J., Mueller, S. G., Koch, S., Boehm‐Sturm, P., Prüß, H., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.12.476037 · Cited by 3 · see citing works
Disrupted structural connectivity in ArcAβ mouse model of Aβ amyloidosis
Al-Amin, M. M., Grandjean, J., Klohs, J., & Kim, J. (2020) · doi:10.1101/2020.04.27.064634 · Cited by 2 · see citing works
Self-citationOkechukwu, N. G., Klein, C., Jamann, H., Maître, M., Patte‐Mensah, C., & Mensah‐Nyagan, A. G. (2024) · Neurotoxicity Research · doi:10.1007/s12640-024-00715-1 · Cited by 2 · see citing works
“…prodromal or presymptomatic AD brain devoid of aggregated Aβ oligomers and plaques (Brickman 2013; Carmeli et al. 2013; Carmeli et al. 2014; Fornari et al. 2012; Grandjean et al. 2014; Gu et al. 2018; Kavroulakis et al. 2018; Maitre et al. 2023; Manno et al. 2019; Nie et al. 2019; Wu et al. 2017).”
Østergaard, F. G., Skoven, C. S., Wade, A. R., Siebner, H. R., Laursen, B., Christensen, K. V., & Dyrby, T. B. (2021) · eNeuro · doi:10.1523/eneuro.0516-20.2021 · Cited by 2 · see citing works
Dynamic Functional Connectivity Changes in Cortical and Cortico‐Striatal Strokes in Mice
Mahani, F., Diedenhofen, M., Green, C., Wiedermann, D., Fink, G. R., Hoehn, M., & Aswendt, M. (2026) · CNS Neuroscience & Therapeutics · doi:10.1002/cns.71114 · Cited by 1 · see citing works
The lateral entorhinal cortex is a hub for local and global dysfunction in pre-tauopathy statesPreprint
Mandino, F., Yeow, L. Y., Bi, R., Sejin, L., Bae, H., Baek, S. H., Lee, C.-Y., Mohammad, H., Teoh, C. L., Horien, C. L., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.03.022590 · Cited by 1 · see citing works
Self-citationAquaporin 4 is differentially increased and depolarized in association with tau and amyloid-betaPreprint
Kecheliev, V., Boss, L., Maheshwari, U., Konietzko, U., Keller, A., Razansky, D., Nitsch, R. M., Klohs, J., & Ni, R. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.04.26.489273 · Cited by 1 · see citing works
“We have previously shown 339 cerebrovascular alterations, including compromised rCBF, reduced cerebrovascular reactivity, 340 and reduced vessel density in the cortex of arcAβ mice [54, 58, 59, 67, 94].”
BackgroundSelf-citationMRI analysis of brain connectivity in a mouse model of Alzheimer’s disease
Degiorgis, L. (2019) · theses.fr (ABES) · doi:10.70675/5334d86bz9cc5z451cz865fzcf91895a5400 · Cited by 1 · see citing works
Vascular cognitive impairment in the mouse reshapes visual, spatial network functional connectivityPreprint
Hall, G. R., Boehm‐Sturm, P., Dirnagl, U., Finke, C., Foddis, M., Harms, C., Koch, S., Kuchling, J., Madan, C. R., Mueller, S. G., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.04.366294
“Similarly, a decline in functional connectivity has been detected in the sensorimotor cortices of ArcA mice (transgenic Alzheimer’s disease) that was apparent as early as 2 months of age, and preceded plaque accumulation by approximately 4 months (Grandjean et al., 2014).”
BackgroundSimon, Z. D., McFarland, K. N., Golde, T. E., Chakrabarty, P., & Febo, M. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251378778
“28 – 31 Mouse fMRI studies have revealed nuanced interactions between A β aggregation and functional connectivity outcomes, 30 which calls for attention to how A β PP is processed and how it interacts with other AD genes.”
Vidal, B., Badina, A. M., Dorogan, V., Schirmbeck, G. H., Sanches, E. F., Ceyzériat, K., Knoop, M. S., Abjean, L., Tsartsalis, S., Sizonenko, S. V., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.11.687784
Characterization of Mouse Lemur Brain by Anatomical, Functional and Glutamate MRI
Garin, C. M. (2019) · theses.fr (ABES) · doi:10.70675/6d5989a9z80f7z43d7z9e2ez516b192d7313
- Authors
- Grandjean, J., Schroeter, A., He, P., Tanadini, M., Keist, R., Krstic, D., Konietzko, U., Klohs, J., Nitsch, R. M., & Rudin, M.
- Affiliations
- ETH Zurich (CH)
- Institute for Biomedical Engineering (CH)
- University of Zurich (CH)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2014-10-08
- Volume
- 34
- Issue
- 41
- Pages
- 13780-13789
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6608375
- OpenAlex
- W1969125278
- Semantic Scholar
- a93f9b04c7cf2afc40cbbfccc5312b0c266bd66a
- Cited by
- 70
- References
- 43
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 4 · 2023: 4 · 2022: 7 · 2021: 4 · 2020: 9 · 2019: 9 · 2018: 5 · 2017: 7 · 2016: 9 · 2015: 6
- FWCI
- 3.74
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
- PubMed Central (submittedVersion)
- Repository for Publications and Research Data (ETH Zurich) (submittedVersion, cc-by-nc-sa)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
- ETH Zürich Research Collection
- Zurich Open Repository and Archive (University of Zurich)
- Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (141202, 310030, 126029)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- cerebral amyloidosis, functional connectivity, white matter, amyloid precursor protein, Alzheimer's disease, amyloid plaques, resting-state fMRI, diffusion tensor imaging, fractional anisotropy, sensorimotor cortex, postnatal development, neuronal networks
- MeSH terms
- Aging, Alzheimer Disease, Amyloidosis, Animals, Female, Genotype, Humans, Male, Mice, Transgenic, Nerve Net, Neural Pathways, Anisotropy, Mice, White Matter
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