Age-dependent microstructure alterations in 5xFAD mice by high-resolution diffusion tensor imaging
Open accessAbstract
Purpose: To evaluate the age-dependent microstructure changes in 5xFAD mice using high-resolution diffusion tensor imaging (DTI). Methods: The 5xFAD mice at 4, 7.5, and 12 months and the wild-type controls at 4 months were scanned at 9.4T using a 3D echo-planar imaging (EPI) pulse sequence with the isotropic spatial resolution of 100 μm. The b-value was 3000 s/mm 2 for all the diffusion MRI scans. The samples were also acquired with a gradient echo pulse sequence at 50 μm isotropic resolution. The microstructure changes were quantified with DTI metrics, including fractional anisotropy (FA) and mean diffusivity (MD). The conventional histology was performed to validate with MRI findings. Results: The FA values (p = 0.028) showed significant differences in the cortex between wild-type (WT) and 5xFAD mice at 4 months, while hippocampus, anterior commissure, corpus callosum, and fornix showed no significant differences for either FA and MD. FA values of 5xFAD mice gradually decreased in cortex (0.140 ± 0.007 at 4 months, 0.132 ± 0.008 at 7.5 months, 0.126 ± 0.013 at 12 months) and fornix (0.140 ± 0.007 at 4 months, 0.132 ± 0.008 at 7.5 months, 0.126 ± 0.013 at 12 months) with aging. Both FA (p = 0.029) and MD (p = 0.037) demonstrated significant differences in corpus callosum between 4 and 12 months age old. FA and MD were not significantly different in the hippocampus or anterior commissure. The age-dependent microstructure alterations were better captured by FA when compared to MD. Conclusion: FA showed higher sensitivity to monitor amyloid deposition in 5xFAD mice. DTI may be utilized as a sensitive biomarker to monitor beta-amyloid progression for preclinical studies.
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Written from the paper’s full text.
TL;DR
High-resolution ex vivo DTI at 100 μm detected age-dependent microstructural changes in 5xFAD mice, with FA more sensitive than MD. FA was significantly lower in cortex at 4 months and declined with age in cortex and fornix, while corpus callosum showed FA and MD differences between 4 and 12 months.
Key findings
- At 4 months, cortex FA significantly differed between WT and 5xFAD mice (p = 0.028); cortex MD did not (p = 0.052). The abstract reports no significant FA/MD differences in hippocampus, anterior commissure, corpus callosum, or fornix, although the Results list hippocampal MD p = 0.007.
- In 5xFAD mice, FA decreased with age in cortex (0.140 ± 0.007 at 4 months, 0.132 ± 0.008 at 7.5 months, 0.126 ± 0.013 at 12 months) and fornix (same reported values). Corpus callosum showed significant FA (p = 0.029) and MD (p = 0.037) differences between 4 and 12 months.
- Whole-brain ROI analysis found FA captured more age effects than MD. At 4 vs. 7.5 months, significant FA differences appeared in insular cortex, V1M, V2L, Au1, and fornix; at 4 vs. 12 months, additional FA differences appeared in M1, M2, LO, AuD, V1B, DIEnt, corpus callosum, and striatum. MD showed fewer changes: no cortex differences at 4 vs. 7.5 months, significant differences in striatum and corpus callosum at 4 vs. 12 months, fornix differences in both comparisons, and no anterior commissure differences.
- Histology showed beta-amyloid plaques increased with age in cortex and hippocampus; FA reductions corresponded to plaque accumulation in cortical layers and hippocampal DG, DS, and CA2 regions.
Methods
- Ex vivo mouse brains were studied: WT and 5xFAD mice, with 5xFAD at 4, 7.5, and 12 months and WT at 4 months. Scans used a 9.4T magnet, 3D EPI at 100 μm isotropic resolution, b = 3000 s/mm², 61 diffusion directions, and six b0 measurements; a GRE sequence at 50 μm isotropic resolution was also acquired. Histology used NeuN and 6E10 staining.
- DTI metrics included FA, MD, AD, and RD, calculated with DSI Studio. Brains were registered to the Waxholm atlas and divided into 166 ROIs. One-way ANOVA compared WT vs. 5xFAD at 4 months and 5xFAD ages (4 vs. 7.5 months, 4 vs. 12 months), with significance at p < 0.05.
Limitations
- Stated: only ROI-based analysis was performed due to limited sample size; voxel-based analysis with larger samples is needed. Ex vivo fixation may not accurately represent normal physiological tissue microstructure. Only female 5xFAD mice were studied, so sex differences require future work. Transgenic models have limited correspondence to human AD.
- Evident: the text contains an inconsistency for hippocampal MD at 4 months—the abstract says no significant differences, while the Results report p = 0.007. The abstract also reports identical FA values for cortex and fornix, which may be a reporting error.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
36 of 47 cited sources checked · 21 supported · 1 flagged · accuracy not yet measured
- Interpretationcitation
The heterogeneous FA alterations in the hippocampus may be associated primarily with plaque deposition and related inflammation.
“which may be associated primarily with the plaque deposition and related inflammation (Praet et al., 2018).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Praet et al., 2018 source
The Discussion (page unavailable) links hippocampal changes in APP/PS1 mice primarily to Aβ-induced inflammation, but the change was in mean diffusivity, not FA; the authors explicitly report no hippocampal FA change. The Results (page unavailable) report FA correlations with amyloid and inflammatory markers in the motor cortex, not the hippocampus. The source therefore does not establish the proposed explanation for heterogeneous hippocampal FA alterations. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Premisecitation
DTI changes precede anatomical changes on structural MRI for detecting brain impairment in different mice models.
“Several studies have demonstrated that DTI changes precede the anatomical changes on structural MRI for detecting the brain impairment in different mice models (Zhang et al., 2012; Muller et al., 2020).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Zhang et al., 2012 source
The ‘Using DTI to study white matter injury’ section reports DTI-detected abnormalities in rodent disease models, including an early diffusivity change in a mouse injury model. It does not compare the timing of those changes with anatomical changes on structural MRI, so the claimed precedence is unsupported. Page numbers were not available in our copy. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites Muller et al., 2020 source
The section on AD animal models reports that DTI detects abnormalities in several mouse models, including changes detected as early as 2.5 months in a tauopathy model (page unavailable). It does not establish that those DTI changes precede anatomical changes visible on structural MRI; the Discussion describes longitudinal DTI findings without making that comparison. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Interpretationcitation
Fornix can be used as a disease biomarker for pharmacological therapeutics.
“and can be used as a disease biomarker for pharmacological therapeutics (Badea et al., 2016).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Badea et al., 2016 source
- Interpretationcitation
Compared to other white matter bundles, fornix may play an important role in AD pathology.
“Compared to other white matter bundles, fornix may play an important role in AD pathology”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Badea et al., 2016 source
- Premisecitation
Fornix microstructural degradation may provide evidence of degenerative white matter injury in AD.
“and may provide evidence of degenerative white matter injury in AD (Lee et al., 2012).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Lee et al., 2012 source
- Premisecitation
Fornix microstructural degradation, as measured by reduced FA, is prominent in both MCI and AD.
“Fornix microstructural degradation, as measured by reduced FA, was prominent in both MCI and AD”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Lee et al., 2012 source
- Findingown data
MD showed no significant difference in the anterior commissure between wild-type and 5xFAD mice at 4 months (p = 0.126).
“There were no significant differences in most of the brain regions, including Hc (p = 0.269 for FA; p = 0.007 for MD), ac (p = 0.442 for FA; p = 0.126 for MD)”
Quote in the paperNot a substantial claim - Findingown data
FA showed no significant difference in the hippocampus between wild-type and 5xFAD mice at 4 months (p = 0.269).
“There were no significant differences in most of the brain regions, including Hc (p = 0.269 for FA; p = 0.007 for MD)”
Quote in the paperNot a substantial claim - Findingown data
MD showed no significant differences in the cortex regions between 5xFAD at 4 and 7.5 months.
“MD showed no significant differences in the cortex regions between 5xFAD at 4 and 7.5 months”
Quote in the paperNot a substantial claim - Findingown data
MD showed no significant difference in the fornix between wild-type and 5xFAD mice at 4 months (p = 0.185).
“There were no significant differences in most of the brain regions, including Hc (p = 0.269 for FA; p = 0.007 for MD), ac (p = 0.442 for FA; p = 0.126 for MD), cc (p = 0.168 for FA; p = 0.398 for MD), and fx (p = 0.366 for FA; p = 0.185 for MD).”
Quote in the paperNot a substantial claim - Findingown data
FA values showed a significant difference in the cortex between wild-type and 5xFAD mice at 4 months (p = 0.028).
“The FA values (p = 0.028) showed significant differences in the cortex between wild-type (WT) and 5xFAD mice at 4 months”
- Also stated in: § Results · plain
“In the cortex region, the FA exhibited a significant decrease between WT and 5xFAD mice (p = 0.028).”
- Also stated in: § Discussion · boosted
“Compared to MD, we demonstrated the reduction of FA in the cortex region can be detected as early as 4 months between WT and 5xFAD.”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
Such hypointense signals were not observed in the wild-type mouse.
“Such hypointense signals were not observed in the WT mouse (Figures 1A–E).”
Quote in the paperSubstantial claim - Findingown data
Both FA and MD showed no significant differences for the ROI-based analysis of the whole hippocampus.
“In the current study, both FA and MD showed no significant differences for the ROI-based analysis (whole hippocampus).”
Quote in the paperSubstantial claim - Findingown data
MD showed no significant difference in the cortex between wild-type and 5xFAD mice at 4 months (p = 0.052).
“In contrast, no significant difference was found for MD in the cortex region (p = 0.052).”
Quote in the paperNot a substantial claim - Findingown data
At 12 months of age, more cortex regions exhibited microstructure alterations, including the primary visual cortex, secondary auditory cortex, primary auditory cortex, dorsolateral entorhinal cortex, and motor cortex.
“At 12 months age, more cortex regions exhibited microstructure alterations, including the primary visual cortex, secondary auditory cortex, primary auditory cortex, dorsolateral entorhinal cortex, and motor cortex.”
Quote in the paperSubstantial claim - Findingown data
The dark spot areas gradually increased with age in the 5xFAD mice.
“The dark spot areas were gradually increased with age in the 5xFAD mice.”
Quote in the paperSubstantial claim - Findingown data
MD showed a significant difference in the corpus callosum between 4 and 12 months in 5xFAD mice (p = 0.037).
“Both FA (p = 0.029) and MD (p = 0.037) demonstrated significant differences in corpus callosum between 4 and 12 months age old.”
- Also stated in: § Results · plain
“cc (p = 0.029 for FA and p = 0.037 for MD)”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
Beta-amyloid plaques gradually increased with age in both lower and upper layers of the cortex in 5xFAD mice.
“The plaques gradually increased with age in both lower and upper layers of the cortex.”
Quote in the paperSubstantial claim - Findingown data
MD showed a significant difference in the fornix between 4 and 7.5 months in 5xFAD mice (p = 0.045).
“both FA and MD showed significant differences in fx (p = 0.002 for FA and p = 0.045 for MD).”
Quote in the paperSubstantial claim - Findingown data
Heterogeneous FA alterations were observed in the subregions of the hippocampus.
“The heterogeneous FA alterations were observed in the subregions of the hippocampus”
Quote in the paperSubstantial claim - Findingown data
MD showed no significant difference in the cortex between 4 and 7.5 months in 5xFAD mice (p = 0.320).
“FA values had significant differences in Cx (p = 0.044); MD values showed no significant differences in Cx (p = 0.320).”
Quote in the paperNot a substantial claim - Findingown data
The MD map depicted less variation between 5xFAD and wild-type mice.
“In contrast, the MD map depicted less variation between 5xFAD and WT mice.”
Quote in the paperNot a substantial claim - Findingown data
FA exhibited higher sensitivity to the age effect than MD.
“In general, FA exhibited higher sensitivity to the age effect than MD.”
Quote in the paperNot a substantial claim - Findingown data
Plaques gradually increased with age in the hippocampus regions of 5xFAD mice.
“The plaques gradually increased with age in the hippocampus regions (Figure 6C).”
Quote in the paperSubstantial claim - Findingown data
The fornix showed significant differences in both comparisons (4 vs. 7.5 months and 4 vs. 12 months).
“The fx showed significant differences in both comparisons (4 vs. 7.5 months, 4 vs. 12 months)”
Quote in the paperNot a substantial claim - Findingown data
The anterior commissure showed no significant differences among different ages.
“while ac showed no significant differences among different ages.”
Quote in the paperNot a substantial claim - Findingown data
FA showed a significant difference in the fornix between 4 and 7.5 months in 5xFAD mice (p = 0.002).
“both FA and MD showed significant differences in fx (p = 0.002 for FA and p = 0.045 for MD).”
Quote in the paperSubstantial claim - Findingown data
FA values showed strong age-dependent changes in the dentate gyrus, dorsal subiculum, and CA2 of the hippocampus in 5xFAD mice.
“The FA values showed strong age-dependent changes in the dentate gyrus (DG, blue arrows in Figure 6B), the dorsal subiculum (DS, purple arrows in Figure 6B), and the CA2 (white arrows).”
Quote in the paperSubstantial claim - Findingown data
The FA map showed lower FA values in the cortex of 5xFAD compared to wild-type at 4 months.
“The FA map showed darker (lower FA values) in the cortex (Cx) of 5xFAD compared to WT (red arrows).”
Quote in the paperSubstantial claim - Findingown data
FA showed a significant difference in the cortex between 4 and 12 months in 5xFAD mice (p = 0.025).
“More regions showed significant differences between 4 and 12 months, including Cx (p = 0.025 for FA)”
Quote in the paperSubstantial claim - Findingown data
FA showed no significant difference in the anterior commissure between wild-type and 5xFAD mice at 4 months (p = 0.442).
“There were no significant differences in most of the brain regions, including Hc (p = 0.269 for FA; p = 0.007 for MD), ac (p = 0.442 for FA; p = 0.126 for MD)”
Quote in the paperNot a substantial claim - Findingown data
FA values of 5xFAD mice gradually decreased in the cortex with aging (0.140 ± 0.007 at 4 months, 0.132 ± 0.008 at 7.5 months, 0.126 ± 0.013 at 12 months).
“FA values of 5xFAD mice gradually decreased in cortex (0.140 ± 0.007 at 4 months, 0.132 ± 0.008 at 7.5 months, 0.126 ± 0.013 at 12 months) and fornix (0.140 ± 0.007 at 4 months, 0.132 ± 0.008 at 7.5 months, 0.126 ± 0.013 at 12 months) with aging.”
Quote in the paperSubstantial claim - Findingown data
MD showed a significant difference in the fornix between 4 and 12 months in 5xFAD mice (p = 0.005).
“fx (p < 0.001 for FA and p = 0.005 for MD).”
Quote in the paperSubstantial claim - Findingown data
FA values of 5xFAD mice gradually decreased in the fornix with aging (0.140 ± 0.007 at 4 months, 0.132 ± 0.008 at 7.5 months, 0.126 ± 0.013 at 12 months).
“FA values of 5xFAD mice gradually decreased in cortex (0.140 ± 0.007 at 4 months, 0.132 ± 0.008 at 7.5 months, 0.126 ± 0.013 at 12 months) and fornix (0.140 ± 0.007 at 4 months, 0.132 ± 0.008 at 7.5 months, 0.126 ± 0.013 at 12 months) with aging.”
Quote in the paperSubstantial claim - Findingown data
MD showed no significant difference in the hippocampus between wild-type and 5xFAD mice at 4 months (p = 0.007).
“There were no significant differences in most of the brain regions, including Hc (p = 0.269 for FA; p = 0.007 for MD)”
Quote in the paperNot a substantial claim - Findingown data
FA showed no significant difference in the corpus callosum between wild-type and 5xFAD mice at 4 months (p = 0.168).
“There were no significant differences in most of the brain regions, including Hc (p = 0.269 for FA; p = 0.007 for MD), ac (p = 0.442 for FA; p = 0.126 for MD), cc (p = 0.168 for FA; p = 0.398 for MD)”
Quote in the paperNot a substantial claim - Findingown data
FA showed no significant difference in the fornix between wild-type and 5xFAD mice at 4 months (p = 0.366).
“There were no significant differences in most of the brain regions, including Hc (p = 0.269 for FA; p = 0.007 for MD), ac (p = 0.442 for FA; p = 0.126 for MD), cc (p = 0.168 for FA; p = 0.398 for MD), and fx (p = 0.366 for FA; p = 0.185 for MD).”
Quote in the paperNot a substantial claim - Findingown data
The MD statistical map showed fewer age-dependent alterations than the FA statistical map.
“Compared to the FA statistical maps, the MD statistical map showed fewer age-dependent alterations (4 vs. 7.5 months, 4 vs. 12 months).”
Quote in the paperNot a substantial claim - Findingown data
MD showed significant differences in the striatum and corpus callosum between 5xFAD at 4 and 12 months.
“MD showed significant differences in Cpu and cc between 5xFAD at 4 and 12 months.”
Quote in the paperSubstantial claim - Findingown data
Numerous dark spots (hypointense signals) were evident in the cortex and hippocampus of 5xFAD mice on T2*-weighted images.
“numerous dark spots were evident in the cortex (red arrows) and hippocampus (white arrows) in 5xFAD mice.”
Quote in the paperNot a substantial claim - Findingown data
FA showed a significant difference in the cortex between 4 and 7.5 months in 5xFAD mice (p = 0.044).
“FA values had significant differences in Cx (p = 0.044); MD values showed no significant differences in Cx (p = 0.320).”
Quote in the paperNot a substantial claim - Findingown data
There were more plaques in the lower layers of the cortex regardless of age.
“There were more plaques in the lower layers of the cortex regardless of the age.”
Quote in the paperNot a substantial claim - Findingown data
MD showed no significant difference in the corpus callosum between wild-type and 5xFAD mice at 4 months (p = 0.398).
“There were no significant differences in most of the brain regions, including Hc (p = 0.269 for FA; p = 0.007 for MD), ac (p = 0.442 for FA; p = 0.126 for MD), cc (p = 0.168 for FA; p = 0.398 for MD)”
Quote in the paperNot a substantial claim - Findingown data
FA showed a significant difference in the fornix between 4 and 12 months in 5xFAD mice (p < 0.001).
“fx (p < 0.001 for FA and p = 0.005 for MD).”
Quote in the paperSubstantial claim - Findingown data
Cortex regions including the insular cortex, primary visual cortex monocular area, secondary visual cortex lateral area, primary auditory cortex, and fornix showed significant differences in FA statistical maps between 4 and 7.5 months.
“The cortex regions including the insular cortex (Ins), primary visual cortex monocular area (V1M), secondary visual cortex lateral area (V2L), primary auditory cortex (Au1), and fornix showed significant differences in the FA statistical maps (4 vs. 7.5 months).”
Quote in the paperSubstantial claim - Findingown data
Fewer cortex regions showed significant MD changes compared to FA values.
“In contrast, fewer cortex regions showed significant MD changes compared to FA values”
Quote in the paperSubstantial claim - Findingown data
At 7.5 months of age, the primary visual cortex and secondary visual cortex have already reduced FA values significantly.
“At 7.5 months age, primary visual cortex and secondary visual cortex have already reduced the FA values significantly.”
Quote in the paperSubstantial claim - Findingown data
FA showed a significant difference in the corpus callosum between 4 and 12 months in 5xFAD mice (p = 0.029).
“Both FA (p = 0.029) and MD (p = 0.037) demonstrated significant differences in corpus callosum between 4 and 12 months age old.”
- Also stated in: § Results · plain
“cc (p = 0.029 for FA and p = 0.037 for MD)”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
More regions with significant differences between 4 and 12 months include the primary motor cortex, secondary motor cortex, lateral orbital cortex, secondary auditory cortex dorsal part, primary visual cortex binocular area, dorsal intermediate entorhinal cortex, corpus callosum, and striatum.
“There were more regions with significant differences between 4 and 12 months, including the primary motor cortex (M1), secondary motor cortex (M2), lateral orbital cortex (LO), secondary auditory cortex dorsal part (AuD), primary visual cortex binocular area (V1B), dorsal intermediate entorhinal cortex (DIEnt), corpus callosum (cc), and striatum (Cpu).”
Quote in the paperSubstantial claim - Findingown data
The spatial-temporal pattern of the microstructure changes in the cortex region with the beta-amyloid progression has been generated.
“The spatial–temporal pattern of the microstructure changes in the cortex region with the beta-amyloid progression has been generated.”
Quote in the paperSubstantial claim - Findingown data
Inhomogeneous FA alterations were detected in different parts of cortex and hippocampus.
“We were able to detect the inhomogeneous FA alterations in different parts of cortex and hippocampus.”
Quote in the paperSubstantial claim - Findingown data
Microstructure alterations are age-dependent using a model of progressive brain amyloidosis.
“We demonstrated that microstructure alterations are age-dependent using a model of progressive brain amyloidosis.”
Quote in the paperSubstantial claim- Rests on an assumption: The 5xFAD mouse model exhibits progressive brain amyloidosis.
- Findingnone given
The age-dependent microstructural alterations of fx were demonstrated by both FA and MD in 5xFAD mice.
“The age-dependent microstructural alterations of fx were demonstrated by both FA and MD in 5xFAD mice.”
Quote in the paperSubstantial claim - Findingcitation
The ac showed no significant changes among different ages (4 m-12 m).
“the ac showed no significant changes among different ages (4 m–12 m)”
Quote in the paperNot a substantial claim - Interpretationown data
The age-dependent microstructure alterations were better captured by FA when compared to MD.
“The age-dependent microstructure alterations were better captured by FA when compared to MD.”
Quote in the paperSubstantial claim - Interpretationreasoning
DTI may be utilized as a sensitive biomarker to monitor beta-amyloid progression for preclinical studies.
“DTI may be utilized as a sensitive biomarker to monitor beta-amyloid progression for preclinical studies.”
Quote in the paperSubstantial claim - Interpretationreasoning
FA showed higher sensitivity to monitor amyloid deposition in 5xFAD mice.
“FA showed higher sensitivity to monitor amyloid deposition in 5xFAD mice.”
Quote in the paperSubstantial claim - Interpretationown data
FA could be a sensitive imaging biomarker to detect beta-amyloid pathology in AD mice.
“which suggests that FA could be a sensitive imaging biomarker to detect the beta-amyloid pathology in the AD mice.”
Quote in the paperSubstantial claim - Interpretationown data
FA could be used to detect the inhomogeneous progression of beta-amyloid deposition at different regions of the cortex area.
“which suggests that FA could be used to detect the inhomogeneous progression of beta-amyloid deposition at different regions of the cortex area.”
Quote in the paperSubstantial claim - Study design and conductnone given
The MRI findings were validated with Aβ plaque and NeuN staining.
“The MRI findings were validated with Aβ plaque and NeuN staining.”
- Also stated in: § Methods · plain
“The conventional histology was performed to validate with MRI findings.”
Quote in the paperSubstantial claim - Also stated in: § Methods · plain
- Interpretationreasoning
The inconsistency in FA/MD findings across studies may be caused by different mouse models and different ages of mice.
“The inconsistency may cause by different mouse models and different ages of mice in different studies.”
Quote in the paperNot a substantial claim - Interpretationreasoning
DTI metrics could be used to monitor the progression of beta-amyloid deposition.
“DTI metrics could be used to monitor the progression of beta-amyloid deposition”
Quote in the paperSubstantial claim - Interpretationreasoning
DTI metrics could be used to monitor the efficiency of anti-AD drugs.
“and the efficiency of the anti-AD drugs.”
Quote in the paperSubstantial claim- Rests on an assumption: DTI metrics in the 5xFAD model are sensitive to the effects of anti-AD drugs.
- Rests on an assumption: The microstructural alterations observed in 5xFAD mice are relevant to human AD.
- Classified as probably not a substantial claim. 28
- May combine two claims. 11
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationFA in the cortex was reported to increase in 3xTg AD mice, while FA was reduced in APP transgenic mice.
“For instance, FA in the cortex was reported to increase in 3xTg AD mice (Snow et al., 2017; Manno et al., 2019), while the FA was showed reduced in APP transgenic mice (Muller et al., 2013; Qin et al., 2013).”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites Snow et al., 2017 source
Snow et al.’s DTI measures section reports no significant difference in cortical FA between 3xTg and control mice; Table 1 lists 0.31 versus 0.33 (p = 0.8). It reports reduced FA in the hippocampus instead. The APP-mouse clause is cited to other papers, not Snow et al. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured - cites Manno et al., 2019 source
- cites Muller et al., 2013 source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationThe 5xFAD mouse expresses human APP with three FAD mutations and human PSEN1 with two FAD mutations, and is commonly used to study the mechanisms of AD.
“The transgenic mouse model, 5xFAD, expresses human APP with three FAD mutations and human PSEN1 with two FAD mutations, and is commonly used to study the mechanisms of AD (Oakley et al., 2006; Forner et al., 2021).”
Quote in the paperSubstantial claim2 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPatients with preclinical AD have widespread white matter abnormalities at a stage similar to those reported in AD.
“patients with preclinical AD have widespread white matter abnormalities at a stage similar to those reported in AD (Marquez and Yassa, 2019; Stone et al., 2021).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Marquez and Yassa, 2019 source
The “Reduced white matter integrity – Diffusion MRI” section reports widespread declines in white matter integrity in MCI and AD, and the Summary and Conclusions repeats that finding. Neither passage establishes widespread white matter abnormalities in patients with preclinical AD or says their abnormalities are similar to those in AD. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Stone et al., 2021 source
The Introduction says white-matter changes may appear early in AD, and the Discussion reports that specific tracts can be affected years before symptoms. But Stone et al. studied patients with mild cognitive impairment and identified specific tract changes; it does not establish widespread abnormalities in preclinical AD comparable to those in AD. Page numbers are unavailable in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDecreased FA was detected in the hippocampus in the 12-14-month-old 3xTG AD mice.
“In contrast, decreased FA was detected in the hippocampus in the 12-14-month-old 3xTG AD mice (Snow et al., 2017).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Snow et al., 2017 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationDistinguishing individual amyloid plaques by high-resolution MRI might provide a noninvasive estimate of plaque burden in transgenic AD mice that might be useful in assessing the efficacy of anti-amyloid therapies.
“Distinguishing individual amyloid plaques by high-resolution MRI might provide a noninvasive estimate of plaque burden in transgenic AD mice that might be useful in assessing the efficacy of anti-amyloid therapies (Santin et al., 2016).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Santin et al., 2016 source
The Conclusion reports that Gd-stained MRI monitored individual plaques longitudinally and tested an anti-amyloid immunotherapy in APP/PS1 mice; the Methods describe quantifying plaque load from the images. However, the Discussion says the method requires intracerebroventricular contrast-agent administration, so the claim’s description of the approach as noninvasive is not supported. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn 5xFAD mice, amyloid plaques are first observed between two and four months of age in the cortical layer V and in the subiculum of the hippocampal formation.
“In 5xFAD mice, amyloid plaques are first observed between two and four months of age in the cortical layer V and in the subiculum of the hippocampal formation (Oblak et al., 2021).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Oblak et al., 2021 source
The Results section, “Whole Brain Imaging and Quantification of Plaque Progression” (page not provided), reports plaques in 5XFAD mice by two months, with high densities in the hippocampal formation. It does not identify cortical layer V or the subiculum as the sites where plaques first appear; the separate mentions of those locations concern neuron loss, not initial plaque deposition. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
FindingcitationThe plaques showed hypointensity in MRI images and increased with age in both cortex and hippocampus regions, consistent with previous findings.
“The plaques showed hypointensity in MRI images and increased with age in both cortex and hippocampus regions, which is consistent with several previous findings (Higuchi et al., 2005; Meadowcroft et al., 2009).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Higuchi et al., 2005 source
- cites Meadowcroft et al., 2009 source
The Results (page unavailable) identify hypointense MRI spots as Aβ plaques in APP/PS1 mouse cortex and report plaques in the neocortex and hippocampus on histological staining. The Discussion (page unavailable) says mouse plaques are believed to grow throughout life, but the paper does not establish an age-related increase in both regions; it also says the smaller hippocampal plaques described in the Results were not visible on MRI. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe MRI signal has been enhanced by MEMRI to visualize Aβ plaques in transgenic rodent models of AD.
“The MRI signal has been enhanced by the MEMRI to visualize the Aβ plaques in transgenic rodent models of AD (Kim et al., 2021).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Kim et al., 2021 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAβ plaques could also be detected in mouse AD models using a high-resolution T2-weighted spin-echo sequence.
“The Aβ plaques could also be detected in mouse AD models using a high-resolution T2-weighted spin-echo sequence (Jack et al., 2005).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Jack et al., 2005 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAmyloid plaque loading is known to be high in the hippocampus.
“Similar to the cortex, amyloid plaque loading is known to be high in hippocampus (Lazarov et al., 2002; Vyas et al., 2020).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Lazarov et al., 2002 source
- cites Vyas et al., 2020 source
The Changes in Brain Connectivity and Circuit Function section (page unavailable) describes amyloid deposits in an Alzheimer’s mouse model and discusses hippocampal deficits. It does not establish that plaque loading is high in the hippocampus or compare hippocampal loading with cortical loading. (LLM, conf=0.75)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationDiffusion MRI is more sensitive to brain microstructural changes than conventional volumetric MRI and has been widely used for evaluation of white matter integrity.
“Compared to the conventional volumetric MRI methods, diffusion MRI (dMRI) is more sensitive to the brain microstructural changes and has been widely used for the evaluation of white matter integrity (Bozzali et al., 2002; Mielke et al., 2009; Stebbins and Murphy, 2009; Wang et al., 2019b; Harrison et al., 2020; Veale et al., 2021).”
Quote in the paperSubstantial claim2 of 3 sources checked- cites Bozzali et al., 2002 source
- cites Mielke et al., 2009 source
The Introduction describes DTI as a method for examining white matter integrity and cites numerous studies using it, supporting the claim about its use. The Discussion says the study did not analyze other white- or gray-matter measures alongside DTI; our copy does not establish that diffusion MRI is more sensitive to microstructural changes than conventional volumetric MRI. Page numbers were not provided. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites Stebbins and Murphy, 2009 source
Probably not a substantial claim: may not pass S2 (checkable).
PremisecitationTransgenic animal models are invaluable tools for studying pathogenic mechanisms and testing therapeutics of AD.
“transgenic animal models are an invaluable tool for studying pathogenic mechanisms and testing therapeutics of AD (Kitazawa et al., 2012; Jankowsky and Zheng, 2017; Sasaguri et al., 2017).”
Quote in the paperNot a substantial claim3 of 3 sources checkedClassified as probably not a substantial claim.
PremisecitationThe capability to monitor alterations in tissue microstructure caused by Aβ accumulation may provide an important biomarker to monitor disease progression or treatment response.
“The capability to monitor the alterations in tissue microstructure caused by the accumulation of Aβ may provide an important biomarker to monitor disease progression or treatment response (Adlard et al., 2014; Thal et al., 2014).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Adlard et al., 2014 source
In “Current status of neuroimaging biomarkers in Alzheimer's disease” (page unavailable), the review discusses MRI measures of microscopic changes and says an MTR reduction may reflect amyloid deposition, but also metabolic dysfunction. It does not establish that the monitored microstructural changes are caused by Aβ accumulation or specifically propose those changes as a biomarker of treatment response; its discussion of monitoring therapy concerns PET imaging in mice. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites Thal et al., 2014 source
The section “Amyloid PET as a predictor of clinical progression to AD dementia” (page unavailable) reports that amyloid PET uptake is associated with faster clinical worsening, supporting the potential value of an Aβ-related biomarker for tracking disease progression. It does not establish that Aβ accumulation causes measurable tissue-microstructure alterations or that monitoring those alterations tracks treatment response. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationGadolinium-stained MRI can be used to detect amyloid plaques in both mouse AD models and human-AD brains.
“Dudeffant et al. (2017) demonstrated that Gadolinium (Gd)-stained MRI can be used to detect the amyloid plaques in both mouse AD models and human-AD brains.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Dudeffant et al., 2017 source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationThe fornix is a white matter bundle belonging to the medial diencephalon and serves a vital role in memory functions.
“The fornix is a white matter bundle belonging to the medial diencephalon and serves a vital role in memory functions (Copenhaver et al., 2006; Nowrangi and Rosenberg, 2015).”
Quote in the paperSubstantial claim1 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationDTI studies of AD models with marked neuron loss indicate increased MD, whereas those of a mild neuropathological phenotype without neuron loss tend to report decreased MD.
“It’s also suggested that DTI studies of AD models with marked neuron loss indicate increased MD, whereas those of a mild neuropathological phenotype without neuron loss tend to report decreased MD (Snow et al., 2017).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Snow et al., 2017 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationWhite matter abnormalities, particularly axonal transport deficiencies, are important components of AD.
“White matter abnormalities, particularly axonal transport deficiencies, are also important components of AD (Klok et al., 2018).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Klok et al., 2018 source
The Introduction and Discussion address vanishing white matter disease (VWM), not AD; searches for Alzheimer’s disease and AD found no passage assessing either condition in AD. The Discussion says disturbed axonal transport does not appear to be a central problem in VWM, but that finding cannot establish or refute the claim about AD. (LLM, conf=0.77)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTransgenic models have been widely used to study AD risk factors and mechanisms.
“transgenic models have been widely used to study AD risk factors and mechanisms”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Elder et al., 2010 source
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationThe lack of significant changes in ac among ages 4-12m is consistent with a recent study using the P301L mouse model.
“which is consistent with a recent study using the P301L mouse model (Massalimova et al., 2021).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Massalimova et al., 2021 source
The Fractional Anisotropy section reports no difference in anterior-commissure (AC) FA between groups, which is consistent with an absence of change in that measure. But the Animal Models section describes only 8.5-month-old mice, not a comparison across 4–12 months, and Table 1 reports significant AC changes in other diffusion measures. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe degree of characteristics displayed by transgenic models in comparison with AD in humans is still limited.
“the degree of characteristics displayed in comparison with AD in humans is still limited (Elder et al., 2010).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Elder et al., 2010 source
May combine two claims.
Findingown dataThere were more plaques accumulated in the DG, DS, and CA2 regions, consistent with the reduction of FA.
“There were more plaques accumulated in the DG, DS, and CA2 regions, which was consistent with the reduction of FA.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe cortex area exhibited lower FA values and higher plaque loading in 5xFAD mice with age.
“The cortex area exhibited lower FA values and higher plaque loading in 5xFAD mice with age”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe hippocampus exhibits complex microstructure and has been demonstrated to show laminar features due to layer-dependent FA values.
“It has been noted that the hippocampus exhibits complex microstructure and has been demonstrated to show laminar features due to layer-dependent FA values (Wang et al., 2020b).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Wang et al., 2020b
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).
PremisecitationWhite matter abnormalities have been widely reported in the brains of incipient and mildly afflicted individuals.
“white matter abnormalities have been widely reported in the brains of incipient and mildly afflicted individuals (Sachdev et al., 2013).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sachdev et al., 2013 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAnimal experiments were carried out in compliance with the Indiana University Institutional Animal Care and Use Committee.
“Animal experiments were carried out in compliance with the Indiana University Institutional Animal Care and Use Committee.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBeta-amyloid plaques are a hallmark of AD that develop in its early stage.
“The beta-amyloid plaques are a hallmark of AD that develop in its early stage (Reger et al., 2008).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Reger et al., 2008 source
Classified as probably not a substantial claim.
PremisecitationThe 5xFAD transgenic mice have been acknowledged as a useful model for better understanding the pathogenesis of human AD.
“The 5xFAD transgenic mice have been acknowledged as a useful model for better understanding the pathogenesis of human AD (Girard et al., 2013).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Girard et al., 2013 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationReduced FA and increased MD in the hippocampus were reported in many human studies, probably attributed to increased extracellular space volume and neurodegeneration.
“Reduced FA and increased MD in hippocampus were reported in many of these human studies, probably attributed to increased extracellular space volume and neurodegeneration (Muller et al., 2007; Cherubini et al., 2010; Hong et al., 2013; Nowrangi et al., 2013).”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOnly FA showed a significant increase in the hippocampus of APP/PS1 mice, compared to other DTI metrics.
“It has been reported that only FA showed a significant increase in the hippocampus of APP/PS1 mice, compared to other DTI metrics (Shu et al., 2013).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Shu et al., 2013 source
Classified as probably not a substantial claim.
Study design and conductown dataThe study only performed ROI-based analysis due to limited sample size.
“we only performed ROI-based analysis due to the limited sample size”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenOnly female 5xFAD mice were used in the study.
“only female 5xFAD mice were conducted in the study”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningEx vivo MRI may not accurately represent the tissue microstructures under normal physiological conditions due to fixation.
“it may not accurately represent the tissue microstructures under normal physiological conditions due to the fixation.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Probing age-dependent tissue microstructure alterations in 5xFAD mice using high-resolution DTI has not been reported.
“To the best of our knowledge, probing age-dependent tissue microstructure alterations in 5xFAD mice using high-resolution DTI has not been reported.”
The paper relies on this without support.
The microstructure change with age in 5xFAD mice has not been investigated in detail.
“its microstructure change with age has not been investigated in detail (Oakley et al., 2006).”
The paper relies on this without support.
The 5xFAD mouse model exhibits progressive brain amyloidosis.
“using a model of progressive brain amyloidosis”
The paper relies on this without support.
DTI metrics in the 5xFAD model are sensitive to the effects of anti-AD drugs.
“DTI metrics could be used to monitor the progression of beta-amyloid deposition and the efficiency of the anti-AD drugs.”
The paper relies on this without support.
The microstructural alterations observed in 5xFAD mice are relevant to human AD.
“the degree of characteristics displayed in comparison with AD in humans is still limited”
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?
Diffusion changes were most pronounced in corpus callosum, with additional alterations in cortex, hippocampal formation, and olfactory regions.
“Diffusion changes were most pronounced in corpus callosum, with additional alterations in cortex, hippocampal formation, and olfactory regions, consistent with a prior dMRI study of AD mouse models. 48”
From Diffusion MRI reveals amyloid plaque–associated cellular signatures through spatial transcriptomic integration (2026) · cites this paper as [48]
The Results (Figures 6–7; page unavailable) report age-dependent diffusion changes in the corpus callosum, several cortical regions, and hippocampal subregions. They do not identify the corpus callosum as the most affected region, and a search for olfactory regions found no such finding in our copy. (LLM, conf=0.86)
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.
Hippocampal MD is called nonsignificant despite p = 0.007
MinorThe paper sets significance at p < 0.05, so the reported hippocampal MD result (p = 0.007) is significant, contrary to the statement that it is not.
“There were no significant differences in most of the brain regions, including Hc (p = 0.269 for FA; p = 0.007 for MD)”
“The statistical significance was determined at p < 0.05.”
WT figure citation includes panels labeled 5xFAD
MinorThe text cites Figures 1A-E for the WT mouse, but the figure caption identifies panels B-D as 5xFAD mice.
“Such hypointense signals were not observed in the WT mouse (Figures 1A–E).”
“The T2*-weighted images of WT mice (A,E) at 4 months and 5xFAD at different ages (4, 7.5, and 12 months, B–D, F–H).”
Cites
Oakley, H., Cole, S. L., Logan, S., Maus, E., Shao, P., Craft, J., Guillozet-Bongaarts, A., Ohno, M., Disterhoft, J., Van Eldik, L., et al. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1202-06.2006 · Cited by 3,530 · cited 2× · see citing works
“The transgenic mouse model, 5xFAD, expresses human APP with three FAD mutations and human PSEN1 with two FAD mutations, and is commonly used to study the mechanisms of AD (Oakley et al., 2006; Forner et al., 2021).”
BackgroundBloom (2014) · doi:10.1001/jamaneurol.2013.5847 · Cited by 2,194 · cited 1× · see citing works
“Aβ plaque formation is considered as one of the earliest components, starting years, or even decades before clinical symptoms (Busciglio et al., 1995; Bloom, 2014).”
BackgroundA Century of Alzheimer's Disease
Goedert, M., & Spillantini, M. G. (2006) · Science · doi:10.1126/science.1132814 · Cited by 2,106 · cited 1× · see citing works
“Alzheimer’s disease (AD) is the most common cause of dementia with clinically characterized by age-dependent memory loss and cognitive dysfunction (Bush, 2003; Goedert and Spillantini, 2006).”
BackgroundThe metallobiology of Alzheimer's disease
Bush, A. I. (2003) · Trends in Neurosciences · doi:10.1016/s0166-2236(03)00067-5 · Cited by 1,315 · cited 1× · see citing works
“Alzheimer’s disease (AD) is the most common cause of dementia with clinically characterized by age-dependent memory loss and cognitive dysfunction (Bush, 2003; Goedert and Spillantini, 2006).”
BackgroundGeneralized ${ q}$-Sampling Imaging
Yeh, F.-C. F., Wedeen, V. J., & Tseng, W. I. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2010.2045126 · Cited by 1,030 · cited 1× · see citing works
“The scalar indices including FA, MD, axial diffusivity (AD), and radial diffusivity (RD) were calculated based on the DTI model using DSI studio toolbox (Yeh et al., 2010).”
MethodIntranasal insulin improves cognition and modulates β-amyloid in early AD
Reger, M. A., Watson, G. S., Green, P. S., Wilkinson, C. W., Baker, L. D., Cholerton, B., Fishel, M. A., Plymate, S. R., Breitner, J. C. S., DeGroodt, W., et al. (2008) · Neurology · doi:10.1212/01.wnl.0000265401.62434.36 · Cited by 830 · see citing works
APP mouse models for Alzheimer’s disease preclinical studies.
Sasaguri, H., Nilsson, P., Hashimoto, S., Nagata, K., Saito, T., De Strooper, B., Hardy, J., Vassar, R., Winblad, B., & Saido, T. C. (2017) · The EMBO Journal · doi:10.15252/embj.201797397 · Cited by 793 · see citing works
β-Amyloid fibrils induce tau phosphorylation and loss of microtubule binding
Busciglio, J., Lorenzo, A., Yeh, J., & Yankner, B. A. (1995) · Neuron · doi:10.1016/0896-6273(95)90232-5 · Cited by 595 · cited 1× · see citing works
“Aβ plaque formation is considered as one of the earliest components, starting years, or even decades before clinical symptoms (Busciglio et al., 1995; Bloom, 2014).”
BackgroundBozzali, M. (2002) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.72.6.742 · Cited by 568 · see citing works
Systematic phenotyping and characterization of the 5xFAD mouse model of Alzheimer’s disease.
Forner, S., Kawauchi, S., Balderrama-Gutierrez, G., Kramár, E. A., Matheos, D. P., Phan, J., Javonillo, D. I., Tran, K. M., Hingco, E., da Cunha, C., et al. (2021) · Scientific Data · doi:10.1038/s41597-021-01054-y · Cited by 501 · see citing works
Rose, S. (2000) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.69.4.528 · Cited by 465 · see citing works
Practical considerations for choosing a mouse model of Alzheimer’s disease
Jankowsky, J. L., & Zheng, H. (2017) · Molecular Neurodegeneration · doi:10.1186/s13024-017-0231-7 · Cited by 449 · see citing works
Effectiveness of regional DTI measures in distinguishing Alzheimer’s disease, MCI, and normal aging
Nir, T. M., Jahanshad, N., Villalon-Reina, J. E., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.07.006 · Cited by 348 · cited 1× · see citing works
“including fractional anisotropy (FA) and mean diffusivity (MD) have been used as potential imaging biomarkers for the diagnosis of AD (Teipel et al., 2011; Nir et al., 2013).”
Method19F and 1H MRI detection of amyloid β plaques in vivo
Higuchi, M., Iwata, N., Matsuba, Y., Sato, K., Sasamoto, K., & Saido, T. C. (2005) · Nature Neuroscience · doi:10.1038/nn1422 · Cited by 339 · cited 1× · see citing works
“The plaques showed hypointensity in MRI images and increased with age in both cortex and hippocampus regions, which is consistent with several previous findings (Higuchi et al., 2005; Meadowcroft et al., 2009).”
ResultTransgenic mouse models of Alzheimer’s disease.
Elder, G. A., Gama Sosa, M. A., & De Gasperi, R. (2010) · Mount Sinai Journal of Medicine A Journal of Translational and Personalized Medicine · doi:10.1002/msj.20159 · Cited by 336 · cited 1× · see citing works
“factors and mechanisms, but the degree of characteristics displayed in comparison with AD in humans is still limited (Elder et al., 2010).”
BackgroundOblak, A. L., Lin, P. B., Kotredes, K. P., Pandey, R. S., Garceau, D., Williams, H. M., Uyar, A., O’Rourke, R., O’Rourke, S., Ingraham, C., et al. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.713726 · Cited by 325 · cited 2× · see citing works
“In 5xFAD mice, amyloid plaques are first observed between two and four months of age in the cortical layer V and in the subiculum of the hippocampal formation (Oblak et al., 2021).”
BackgroundMethodSelf-citationLazarov, O., Lee, M., Peterson, D. A., & Sisodia, S. S. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-22-09785.2002 · Cited by 302 · cited 1× · see citing works
“Similar to the cortex, amyloid plaque loading is known to be high in hippocampus (Lazarov et al., 2002; Vyas et al., 2020).”
BackgroundWang, L. Y., Benzinger, T. L. S., Su, Y., Christensen, J. J., Friedrichsen, K. A., Aldea, P., McConathy, J., Cairns, N. J., Fagan, A. M., Morris, J. C., et al. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2016.2078 · Cited by 295 · cited 1× · see citing works
“The primary characteristics of AD are the abnormal accumulation of extracellular β-amyloid (Aβ) and intracellular hyperphosphorylated tau proteins (Takahashi et al., 2010; Koss et al., 2016; Wang et al., 2016).”
BackgroundNeuroimaging biomarkers for Alzheimer’s disease.
Márquez, F., & Yassa, M. A. (2019) · Molecular Neurodegeneration · doi:10.1186/s13024-019-0325-5 · Cited by 289 · cited 1× · see citing works
“Advanced neuroimaging studies demonstrate that patients with preclinical AD have widespread white matter abnormalities at a stage similar to those reported in AD (Marquez and Yassa, 2019; Stone et al., 2021).”
BackgroundDWI predicts future progression to Alzheimer disease in amnestic mild cognitive impairment
Kantarci, K., Petersen, R. C., Boeve, B. F., Knopman, D. S., Weigand, S. D., O’Brien, P. C., Shiung, M. M., Smith, G. E., Ivnik, R. J., Tangalos, E. G., et al. (2005) · Neurology · doi:10.1212/01.wnl.0000153076.46126.e9 · Cited by 251 · cited 1× · see citing works
“The microstructure changes of patients with mild cognitive impairment have also been identified in the hippocampus using dMRI (Kantarci et al., 2005; Veale et al., 2021).”
MethodDiffusion 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
Regionally-specific diffusion tensor imaging in mild cognitive impairment and Alzheimer’s disease.
Mielke, M. M., Kozauer, N. A., Chan, K. C. G., George, M., Toroney, J., Zerrate, M., Bandeen-Roche, K., Wang, M.-C., vanZijl, P., & Pekar, J. J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.054 · Cited by 225 · cited 1× · see citing works
“Compared to the conventional volumetric MRI methods, diffusion MRI (dMRI) is more sensitive to the brain microstructural changes and has been widely used for the evaluation of white matter integrity (Bozzali et al., 2002; Mielke et al., 2009; Stebbins and Murphy, 2009; Wang et al., 2019b; Harrison et al., 2020; Veale…”
BackgroundDementia with Lewy bodies and Alzheimer disease
Kantarci, K., Avula, R. T. V., Senjem, M. L., Samikoglu, A. R., Zhang, B., Weigand, S. D., Przybelski, S. A., Edmonson, H. A., Vemuri, P., Knopman, D. S., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181e0f7cf · Cited by 211 · cited 1× · see citing works
“Diffusion tensor imaging is the most widely used dMRI technique to access neurodegenerative and pathophysiology diseases (Kantarci et al., 2010; Teipel et al., 2012).”
MethodDiffusion tensor imaging in Alzheimer's disease and mild cognitive impairment.
Stebbins, G. T., & Murphy, C. M. (2009) · PubMed · doi:10.3233/ben-2009-0234 · Cited by 210 · see citing works
Kitazawa, M., Medeiros, R., & M. LaFerla, F. (2012) · Current Pharmaceutical Design · doi:10.2174/138161212799315786 · Cited by 178 · cited 1× · see citing works
“Despite the knowledge gained from human studies, transgenic animal models are an invaluable tool for studying pathogenic mechanisms and testing therapeutics of AD (Kitazawa et al., 2012; Jankowsky and Zheng, 2017; Sasaguri et al., 2017).”
BackgroundMeadowcroft, M. D., Connor, J. R., Smith, M. B., & Yang, Q. X. (2009) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21731 · Cited by 176 · cited 1× · see citing works
“The plaques showed hypointensity in MRI images and increased with age in both cortex and hippocampus regions, which is consistent with several previous findings (Higuchi et al., 2005; Meadowcroft et al., 2009).”
ResultCo-occurrence of Alzheimer's disease β-amyloid and tau pathologies at synapses
Takahashi, R. H., Capetillo-Zarate, E., Lin, M. T., Milner, T. A., & Gouras, G. K. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.07.021 · Cited by 150 · see citing works
Teipel, S. J., Meindl, T., Grinberg, L. T., Grothe, M. J., Cantero, J. L., Reiser, M. F., Möller, H., Heinsen, H., & Hampel, H. J. (2010) · Human Brain Mapping · doi:10.1002/hbm.21111 · Cited by 150 · see citing works
Koss, D. J., Jones, G., Cranston, A., Gardner, H., Kanaan, N. M., & Platt, B. (2016) · Acta Neuropathologica · doi:10.1007/s00401-016-1632-3 · Cited by 149 · cited 1× · see citing works
“The primary characteristics of AD are the abnormal accumulation of extracellular β-amyloid (Aβ) and intracellular hyperphosphorylated tau proteins (Takahashi et al., 2010; Koss et al., 2016; Wang et al., 2016).”
BackgroundJack, C. R., Wengenack, T. M., Reyes, D. A., Garwood, M., Curran, G. L., Borowski, B. J., Lin, J., Preboske, G. M., Holasek, S. S., Adriany, G., et al. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2588-05.2005 · Cited by 148 · cited 1× · see citing works
“The Aβ plaques could also be detected in mouse AD models using a high-resolution T2-weighted spin-echo sequence (Jack et al., 2005).”
MethodDiagnostic utility of hippocampal size and mean diffusivity in amnestic MCI.
Müller, M. J., Greverus, D., Weibrich, C., Dellani, P. R., Scheurich, A., Stoeter, P., & Fellgiebel, A. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.01.009 · Cited by 140 · cited 1× · see citing works
“Reduced FA and increased MD in hippocampus were reported in many of these human studies, probably attributed to increased extracellular space volume and neurodegeneration (Muller et al., 2007; Cherubini et al., 2010; Hong et al., 2013; Nowrangi et al., 2013).”
BackgroundIs Alzheimer’s a disease of the white matter?
Sachdev, P. S., Zhuang, L., Braidy, N., & Wen, W. (2013) · Current Opinion in Psychiatry · doi:10.1097/yco.0b013e32835ed6e8 · Cited by 137 · see citing works
Sub-regional hippocampal injury is associated with fornix degeneration in Alzheimer’s disease.
Lee, D. Y., Fletcher, E., Carmichael, O. T., Singh, B., Mungas, D., Reed, B., Martinez, O., Buonocore, M. H., Persianinova, M., & DeCarli, C. (2012) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2012.00001 · Cited by 137 · cited 1× · see citing works
“Fornix microstructural degradation, as measured by reduced FA, was prominent in both MCI and AD, and may provide evidence of degenerative white matter injury in AD (Lee et al., 2012).”
BackgroundPraet, J., Manyakov, N. V., Muchene, L., Mai, Z., Terzopoulos, V., de Backer, S., Torremans, A., Guns, P.-J., Van De Casteele, T., Bottelbergs, A., et al. (2018) · Alzheimer's Research & Therapy · doi:10.1186/s13195-017-0329-8 · Cited by 133 · cited 1× · see citing works
“The heterogeneous FA alterations were observed in the subregions of the hippocampus, which may be associated primarily with the plaque deposition and related inflammation (Praet et al., 2018).”
BackgroundCherubini, A., Péran, P., Spoletini, I., Di Paola, M., Di Iulio, F., Hagberg, G. E., Sancesario, G., Gianni, W., Bossù, P., Caltagirone, C., et al. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-091186 · Cited by 123 · cited 1× · see citing works
“Reduced FA and increased MD in hippocampus were reported in many of these human studies, probably attributed to increased extracellular space volume and neurodegeneration (Muller et al., 2007; Cherubini et al., 2010; Hong et al., 2013; Nowrangi et al., 2013).”
BackgroundNowrangi, M. A., Lyketsos, C. G., Leoutsakos, J. S., Oishi, K., Albert, M., Mori, S., & Mielke, M. M. (2013) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2012.05.2186 · Cited by 120 · cited 1× · see citing works
“Reduced FA and increased MD in hippocampus were reported in many of these human studies, probably attributed to increased extracellular space volume and neurodegeneration (Muller et al., 2007; Cherubini et al., 2010; Hong et al., 2013; Nowrangi et al., 2013).”
BackgroundCopenhaver, B. R., Rabin, L. A., Saykin, A. J., Roth, R. M., Wishart, H. A., Flashman, L. A., Santulli, R. B., McHugh, T. L., & Mamourian, A. C. (2006) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2006.01.015 · Cited by 112 · see citing works
Girard, S. D., Baranger, K., Gauthier, C., Jacquet, M., Bernard, A., Escoffier, G., Marchetti, E., Khrestchatisky, M., Rivera, S., & Roman, F. S. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-120982 · Cited by 107 · cited 1× · see citing works
“The 5xFAD transgenic mice have been acknowledged as a useful model for better understanding the pathogenesis of human AD (Girard et al., 2013).”
MethodTsai, A. P., Lin, P. B.-C., Dong, C., Moutinho, M., Casali, B. T., Liu, Y., Lamb, B. T., Landreth, G. E., Oblak, A. L., & Nho, K. (2021) · Neurobiology of Disease · doi:10.1016/j.nbd.2021.105303 · Cited by 104 · see citing works
Self-citationThal, D. R., Attems, J., & Ewers, M. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-141461 · Cited by 100 · see citing works
A review of β-amyloid neuroimaging in Alzheimer's disease
Adlard, P. A., Tran, B. A., Finkelstein, D. I., Desmond, P. M., Johnston, L. A., Bush, A. I., & Egan, G. F. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00327 · Cited by 93 · cited 1× · see citing works
“The capability to monitor the alterations in tissue microstructure caused by the accumulation of Aβ may provide an important biomarker to monitor disease progression or treatment response (Adlard et al., 2014; Thal et al., 2014).”
BackgroundAnatomical MRI and DTI in the Diagnosis of Alzheimer's Disease: A European Multicenter Study
Teipel, S. J., the EDSD study group, Wegrzyn, M., Meindl, T., Frisoni, G. B., Bokde, A. L. W., Fellgiebel, A., Filippi, M., Hampel, H. J., Klöppel, S., et al. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-112118 · Cited by 92 · see citing works
The Fornix in Mild Cognitive Impairment and Alzheimer’s Disease
Nowrangi, M. A., & Rosenberg, P. B. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00001 · Cited by 87 · cited 1× · see citing works
“The fornix is a white matter bundle belonging to the medial diencephalon and serves a vital role in memory functions (Copenhaver et al., 2006; Nowrangi and Rosenberg, 2015).”
BackgroundStructural insights into the rodent CNS via diffusion tensor imaging.
Zhang, J., Aggarwal, M., & Mori, S. (2012) · Trends in Neurosciences · doi:10.1016/j.tins.2012.04.010 · Cited by 73 · cited 1× · see citing works
“Several studies have demonstrated that DTI changes precede the anatomical changes on structural MRI for detecting the brain impairment in different mice models (Zhang et al., 2012; Muller et al., 2020).”
BackgroundWhole mouse brain structural connectomics using magnetic resonance histology
Wang, N., Anderson, R. J., Badea, A., Cofer, G., Dibb, R., Qi, Y., & Johnson, G. A. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1750-x · Cited by 71 · see citing works
Self-citationNeurite orientation dispersion and density imaging of mouse brain microstructure
Wang, N., Zhang, J., Cofer, G., Qi, Y., Anderson, R. J., White, L. E., & Allan Johnson, G. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01877-x · Cited by 69 · see citing works
Self-citationHippocampal Deficits in Amyloid-β-Related Rodent Models of Alzheimer’s Disease
Vyas, Y., Montgomery, J. M., & Cheyne, J. E. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00266 · Cited by 66 · cited 1× · see citing works
“Similar to the cortex, amyloid plaque loading is known to be high in hippocampus (Lazarov et al., 2002; Vyas et al., 2020).”
BackgroundProton and Phosphorus Magnetic Resonance Spectroscopy of a Mouse Model of Alzheimer's Disease
Mlynárik, V., Cacquevel, M., Sun-Reimer, L., Janssens, S., Cudalbu, C., Lei, H., Schneider, B. L., Aebischer, P., & Rolf Gruetter, A. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-112072 · Cited by 52 · cited 1× · see citing works
“Different MRI techniques have been used to study the brain structure and function of 5xFAD mice (Mlynarik et al., 2012; Igarashi et al., 2020; Jullienne et al., 2022).”
MethodWang, N., Anderson, R. J., Ashbrook, D. G., Gopalakrishnan, V., Park, Y., Priebe, C. E., Qi, Y. P., Laoprasert, R., Vogelstein, J. T., Williams, R. W., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117274 · Cited by 51 · see citing works
Self-citationManno, F. A. M., Isla, A. G., Manno, S. H. C., Ahmed, I., Cheng, S. H., Barrios, F. A., & Lau, C. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00039 · Cited by 49 · cited 1× · see citing works
“For instance, FA in the cortex was reported to increase in 3xTg AD mice (Snow et al., 2017; Manno et al., 2019), while the FA was showed reduced in APP transgenic mice (Muller et al.”
BackgroundHong, Y. J., Yoon, B., Lim, S.-C., Shim, Y. S., Kim, J.-Y., Ahn, K. J., Han, I.-W., & Yang, D. W. (2013) · Neurological Sciences · doi:10.1007/s10072-012-1225-4 · Cited by 48 · cited 1× · see citing works
“Reduced FA and increased MD in hippocampus were reported in many of these human studies, probably attributed to increased extracellular space volume and neurodegeneration (Muller et al., 2007; Cherubini et al., 2010; Hong et al., 2013; Nowrangi et al., 2013).”
BackgroundImaging Alzheimer's genetic risk using diffusion MRI: A systematic review
Harrison, J. R., Bhatia, S., Tan, Z. X., Mirza-Davies, A., Benkert, H., Tax, C. M. W., & Jones, D. K. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102359 · Cited by 48 · cited 1× · see citing works
“Compared to the conventional volumetric MRI methods, diffusion MRI (dMRI) is more sensitive to the brain microstructural changes and has been widely used for the evaluation of white matter integrity (Bozzali et al., 2002; Mielke et al., 2009; Stebbins and Murphy, 2009; Wang et al., 2019b; Harrison et al., 2020; Veale…”
BackgroundCytoarchitecture of the mouse brain by high resolution diffusion magnetic resonance imaging
Wang, N., White, L. E., Qi, Y., Cofer, G., & Johnson, G. A. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116876 · Cited by 47 · see citing works
Self-citationQin, Y.-Y., Li, M.-W., Zhang, S., Zhang, Y., Zhao, L.-Y., Lei, H., Oishi, K., & Zhu, W.-Z. (2013) · Neuroradiology · doi:10.1007/s00234-013-1195-0 · Cited by 42 · cited 1× · see citing works
“, 2019), while the FA was showed reduced in APP transgenic mice (Muller et al., 2013; Qin et al., 2013).”
BackgroundDetection of Alzheimer's Disease using cortical diffusion tensor imaging
Torso, M., Bozzali, M., Zamboni, G., Jenkinson, M., Chance, S. A., & Initiative, A. D. N. (2020) · Human Brain Mapping · doi:10.1002/hbm.25271 · Cited by 42 · cited 1× · see citing works
“More recently, dMRI studies have shown abnormalities in multiple neocortical areas at various stages of AD (Jacobs et al., 2013; Torso et al., 2021).”
BackgroundVoxel-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 · see citing works
Probing demyelination and remyelination of the cuprizone mouse model using multimodality MRI
Wang, N., Zhuang, J., Wei, H., Dibb, R., Qi, Y. P., & Liu, C. (2019) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.26758 · Cited by 41 · see citing works
Self-citationDecreased gray matter diffusivity: A potential early Alzheimer's disease biomarker?
Jacobs, H. I. L., van Boxtel, M. P. J., Gronenschild, E. H. B. M., Uylings, H. B. M., Jolles, J., & Verhey, F. R. J. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2011.11.004 · Cited by 39 · cited 1× · see citing works
“More recently, dMRI studies have shown abnormalities in multiple neocortical areas at various stages of AD (Jacobs et al., 2013; Torso et al., 2021).”
BackgroundBadea, A., Kane, L., Anderson, R. J., Qi, Y., Foster, M., Cofer, G. P., Medvitz, N., Buckley, A. F., Badea, A. K., Wetsel, W. C., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.014 · Cited by 39 · cited 1× · see citing works
“Compared to other white matter bundles, fornix may play an important role in AD pathology and can be used as a disease biomarker for pharmacological therapeutics (Badea et al., 2016).”
BackgroundAxonal abnormalities in vanishing white matter.
Klok, M. D., Bugiani, M., de Vries, S. I., Gerritsen, W., Breur, M., van der Sluis, S., Heine, V. M., Kole, M. H. P., Baron, W., & van der Knaap, M. S. (2018) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.540 · Cited by 38 · cited 1× · see citing works
“White matter abnormalities, particularly axonal transport deficiencies, are also important components of AD (Klok et al., 2018).”
BackgroundLoss and dispersion of superficial white matter in Alzheimer’s disease: a diffusion MRI study
Veale, T. D., Malone, I. B., Poole, T., Parker, T. D., Slattery, C. F., Paterson, R. W., Foulkes, A., Thomas, D. L., Schott, J. M., Zhang, H. G., et al. (2021) · Brain Communications · doi:10.1093/braincomms/fcab272 · Cited by 38 · cited 2× · see citing works
“Compared to the conventional volumetric MRI methods, diffusion MRI (dMRI) is more sensitive to the brain microstructural changes and has been widely used for the evaluation of white matter integrity (Bozzali et al., 2002; Mielke et al., 2009; Stebbins and Murphy, 2009; Wang et al., 2019b; Harrison et al., 2020; Veale…”
BackgroundMethodDudeffant, C., Vandesquille, M., Herbert, K., Garin, C. M., Alves, S., Blanchard, V., Comoy, E. E., Petit, F., & Dhenain, M. (2017) · Scientific Reports · doi:10.1038/s41598-017-05285-1 · Cited by 34 · see citing works
Kesler, S. R., Acton, P., Rao, V., & Ray, W. J. (2018) · Network Neuroscience · doi:10.1162/netn_a_00048 · Cited by 34 · cited 1× · see citing works
“The structural networks derived from dMRI exhibited higher path lengths in 6-month-old 5xFAD mice compared to controls (Kesler et al., 2018).”
BackgroundNeuroimaging of mouse models of Alzheimer’s disease
Jullienne, A., Trinh, M. V., & Obenaus, A. (2022) · Biomedicines · doi:10.3390/biomedicines10020305 · Cited by 32 · cited 1× · see citing works
“Different MRI techniques have been used to study the brain structure and function of 5xFAD mice (Mlynarik et al., 2012; Igarashi et al., 2020; Jullienne et al., 2022).”
MethodSnow, W. M., Dale, R., O’Brien-Moran, Z., Buist, R., Peirson, D., Martin, M., & Albensi, B. C. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170136 · Cited by 29 · see citing works
Massalimova, A., Ni, R., Nitsch, R. M., Reisert, M., von Elverfeldt, D., & Klohs, J. (2020) · Neurodegenerative Diseases · doi:10.1159/000515754 · Cited by 28 · cited 1× · see citing works
“In contrast, the ac showed no significant changes among different ages (4 m–12 m), which is consistent with a recent study using the P301L mouse model (Massalimova et al., 2021).”
ResultStone, D. B., Ryman, S. G., Hartman, A. P., Wertz, C. J., Vakhtin, A. A., & Initiative, A. D. N. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.711579 · Cited by 28 · see citing works
Resolution and b value dependent structural connectome in ex vivo mouse brain
Crater, S., Maharjan, S., Qi, Y., Zhao, Q., Cofer, G., Cook, J. J., Johnson, G., & Wang, N. (2022) · bioRxiv · doi:10.1016/j.neuroimage.2022.119199 · Cited by 27 · cited 1× · see citing works
“3 ms, TR = 100 ms, 61 unique diffusion directions with b-value of 3000 s/mm2 and six non-diffusionweighted (b0) measurements (Crater et al., 2022).”
BackgroundSelf-citationAccelerating quantitative susceptibility imaging acquisition using compressed sensing
Wang, N., Cofer, G. P., Anderson, R. J., Qi, Y. P., Liu, C., & Johnson, G. A. (2018) · Physics in Medicine and Biology · doi:10.1088/1361-6560/aaf15d · Cited by 24 · see citing works
Self-citationDiffusion tensor magnetic resonance imaging of the brain in app transgenic mice: A cohort study.
Müller, H.-P., Kassubek, J., Vernikouskaya, I., Ludolph, A. C., Stiller, D., & Rasche, V. (2013) · PLoS ONE · doi:10.1371/journal.pone.0067630 · Cited by 22 · cited 1× · see citing works
“, 2019), while the FA was showed reduced in APP transgenic mice (Muller et al., 2013; Qin et al., 2013).”
BackgroundSantin, M. D., Vandenberghe, M. E., Herard, A.-S., Pradier, L., Cohen, C., Debeir, T., Delzescaux, T., Rooney, T., & Dhenain, M. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00055 · Cited by 20 · see citing works
Longitudinal GluCEST MRI Changes and Cerebral Blood Flow in 5xFAD Mice
Igarashi, H., Ueki, S., Kitaura, H., Kera, T., Ohno, K., Ohkubo, M., Terumitsu‐Tsujita, M., Kakita, A., & Kwee, I. L. (2020) · Contrast Media & Molecular Imaging · doi:10.1155/2020/8831936 · Cited by 19 · cited 1× · see citing works
“Different MRI techniques have been used to study the brain structure and function of 5xFAD mice (Mlynarik et al., 2012; Igarashi et al., 2020; Jullienne et al., 2022).”
MethodKim, E., Di Censo, D., Baraldo, M., Simmons, C., Rosa, I., Randall, K., Ballard, C., Dickie, B. R., Williams, S. C. R., Killick, R., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-91899-5 · Cited by 15 · cited 2× · see citing works
“The MRI signal has been enhanced by the MEMRI to visualize the Aβ plaques in transgenic rodent models of AD (Kim et al., 2021).”
BackgroundMethodMüller, H.-P., Roselli, F., Rasche, V., & Kassubek, J. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00734 · Cited by 12 · cited 1× · see citing works
“Several studies have demonstrated that DTI changes precede the anatomical changes on structural MRI for detecting the brain impairment in different mice models (Zhang et al., 2012; Muller et al., 2020).”
BackgroundWu, D., Lei, J., Xie, H., Dong, J., & Burd, I. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00246-w · Cited by 8 · cited 1× · see citing works
“The higher spatial resolution dMRI with sub-region analysis should be performed in future studies to investigate the inhomogeneous microstructure alterations at different layers of the hippocampus (Wu et al., 2020).”
Background
Flagged first, then by citations
Cited by
Sorted by citations
Tsai, A. P., Dong, C., Lin, P. B.-C., Oblak, A. L., Viana Di Prisco, G., Wang, N., Hajicek, N., Carr, A. J., Lendy, E. K., Hahn, O., et al. (2023) · Immunity · doi:10.1016/j.immuni.2023.08.008 · Cited by 71 · see citing works
Self-citationWesti, E. W., Molhemi, S., Hansen, C. T., Skoven, C. S., Knopper, R. W., Ahmad, D., Rindshøj, M. B., Ameen, A. O., Hansen, B., Kohlmeier, K. A., et al. (2024) · Biomolecules · doi:10.3390/biom14101294 · Cited by 20 · see citing works
“The AD mouse model used here has previously been investigated using dMRI [40,55].”
BackgroundMethodResultInfluentialShen, Y., Shen, Y., Wang, M., Jin, K., Yang, P., Cao, Z., Zhu, Q., Zhao, Z., Li, H., Han, L., et al. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.116073 · Cited by 10 · see citing works
Iannucci, J., Dominy, R., Bandopadhyay, S., Arthur, E. M., Noarbe, B. P., Jullienne, A., Krkasharyan, M., Tobin, R. P., Pereverzev, A., Beevers, S., et al. (2024) · Journal of Neuroinflammation · doi:10.1186/s12974-024-03146-z · Cited by 12 · see citing works
“The observation of alterations in cortical connectivity between 5xFAD mice and age-matched WT mice is consistent with previous clinical and preclinical AD and TBI studies showing altered connectivity between brain regions [123–126].”
ResultChen, J., Han, X., Liu, Z., Zhou, C., Hu, R., Tabassam, S., Wyatt-Johnson, S. K., Oblak, A. L., Brutkiewicz, R. R., Lin, M., et al. (2026) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2025.3614233 · Cited by 2 · see citing works
“In this paper, high-resolution QSM at 18 μ m was acquired to detect A β plaques in 5xFAD mice [39].”
InfluentialSelf-citationA relaxation-diffusion MRI dataset of aging mouse brains at 9.4 Tesla
Ren, B., Wu, Y., Liu, Y., Bai, Y., Tao, Q., Feng, Y., & Zhang, X. (2025) · Scientific Data · doi:10.1038/s41597-025-06088-0 · Cited by 1 · see citing works
Han, X., Hu, R., Ping, X., Chen, J., Liu, J., Liu, Z., Jin, X., Gao, X., Lin, M., Zhao, Y., et al. (2026) · Alzheimer's & Dementia · doi:10.1002/alz.71908
Self-citationSuper-Resolution MRH Reconstruction for Mouse Models
Ha, J., Wang, N., Maharjan, S., et al. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-43075-6_19
Self-citationJohnson, G. A., Tian, Y., Hornburg, K. J., Cook, J. J., Qi, Y. P., WHITE, L. E., KILLMAR, J. T., Kaczorowski, C. C., Ashbrook, D. G., & Williams, R. W. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.08.632011
Waheed, A., & Mshimesh, B. A. R. (2026) · Al Mustansiriyah Journal of Pharmaceutical Sciences · doi:10.32947/ajps.v26i1.1346
Or, P., Yon, M., Narvaez, O., Sitnikova, V., Malm, T., Bouhrara, M., Sierra, A., Topgaard, D., & Benjamini, D. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.08.26.747377
Bhattrai, A., Raikes, A. C., & Brinton, R. D. (2026) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.70325
- Authors
- Maharjan, S., Tsai, A. P., Lin, P. B., Ingraham, C., Jewett, M. R., Landreth, G. E., Oblak, A. L., & Wang, N.
- Affiliations
- Indiana University Indianapolis (US)
- Corresponding author
- Wang, Nian
- Venue
- Frontiers in Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2022-08-17
- Volume
- 16
- Pages
- 964654-964654
- ISSN
- 1662-453X (ISSN-L)
- PMC
- PMC9428354
- OpenAlex
- W4292304768
- Cited by
- 11
- References
- 75
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 2 · 2023: 2
- FWCI
- 0.91
- Type
- journal article
- Language
- en
- Update notices
- corrigendum (2022-10-13)
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Neuroscience (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- IUScholarWorks (Indiana University) (submittedVersion, cc-by)
- Funders
- National Institutes of Health (R01NS125020, RF1AG068400, U54AG054345, K01AG054753)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- 5xFAD mice, Alzheimer's disease, fractional anisotropy, mean diffusivity, white matter microstructure, amyloid deposition, cerebral cortex, corpus callosum, fornix, hippocampus, anterior commissure, diffusion MRI
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-11.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-11.
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