Early stage alterations in white matter and decreased functional interhemispheric hippocampal connectivity in the 3xTg mouse model of Alzheimer’s disease.
Open accessAbstract
Alzheimer's disease (AD) is characterized in the late stages by amyloid-β (Aβ) plaques and neurofibrillary tangles. Nevertheless, recent evidence has indicated that early changes in cerebral connectivity could compromise cognitive functions even before the appearance of the classical neuropathological features. Diffusion tensor imaging (DTI), resting-state functional magnetic resonance imaging (rs-fMRI) and volumetry were performed in the triple transgenic mouse model of AD (3xTg-AD) at 2 months of age, prior to the development of intraneuronal plaque accumulation. We found the 3xTg-AD had significant fractional anisotropy (FA) increase and radial diffusivity (RD) decrease in the cortex compared with wild-type controls, while axial diffusivity (AD) and mean diffusivity (MD) were similar. Interhemispheric hippocampal connectivity was decreased in the 3xTg-AD while connectivity in the caudate putamen (CPu) was similar to controls. Most surprising, ventricular volume in the 3xTg-AD was four times larger than controls. The results obtained in this study characterize the early stage changes in interhemispheric hippocampal connectivity in the 3xTg-AD mouse that could represent a translational biomarker to human models in preclinical stages of the AD.
AI snapshot
Written from the paper’s full text.
TL;DR
In 2-month-old 3xTg-AD mice, before intraneuronal plaque accumulation, MRI detected cortical white-matter microstructural changes, enlarged lateral ventricles, and reduced interhemispheric hippocampal resting-state connectivity compared with wild-type controls. The authors propose these early imaging changes as potential prodromal biomarkers for Alzheimer’s disease.
Key findings
- Cortical fractional anisotropy (FA) was higher in 3xTg-AD than controls (0.42 ± 0.05 vs. 0.25 ± 0.09 μm²/ms, p < 0.05), while radial diffusivity (RD λ⊥) was lower (0.46 ± 0.02 vs. 0.53 ± 0.04 μm²/ms, p < 0.05); axial diffusivity and mean diffusivity were similar.
- Lateral ventricular volume was about four times larger in 3xTg-AD mice (5.39 ± 2.20 mm³) than controls (1.40 ± 0.20 mm³, p < 0.001).
- Interhemispheric hippocampal resting-state functional connectivity was lower in 3xTg-AD mice (0.14 ± 0.03) than controls (0.49 ± 0.17, p < 0.01), whereas caudate putamen connectivity was similar (0.37 ± 0.12 vs. 0.36 ± 0.22).
- Voxel-based DTI showed widespread cortical FA increases and RD decreases spanning Bregma −4.6 to −7.0 mm, covering visual, auditory, and somatosensory cortices.
Methods
- Ten female 3xTg-AD mice and 10 wild-type controls, approximately 8 weeks old and ~35 g, underwent 7T MRI with DTI, resting-state fMRI, and volumetry.
- DTI metrics were analyzed with voxel-based statistics and region-of-interest analysis in cortex and hippocampus; lateral ventricle volume was delineated on RD maps at Bregma −3.0 and −3.8 mm.
- Resting-state fMRI used seed-based analysis with hippocampal and caudate putamen seeds; interhemispheric connectivity was quantified by correlation coefficients, and group comparisons used t-tests with p < 0.05 unless otherwise noted.
Limitations
- Stated: the study examined only an early time point, so longitudinal studies are needed; only female mice were used and estrus cycle was not recorded; structural-functional correlations were not performed; the rsfMRI correlation threshold of 0.35 was chosen empirically, and future work could use Bayesian approaches, different smoothing, ALFF, or ICA.
- Evident from the text: the sample size was small (10 per group), and the single-sex, single-age design limits generalization to male mice or to later disease stages.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
28 of 48 cited sources checked · 13 supported · 2 flagged · accuracy not yet measured
- Premisecitation
There exists no effective diagnostic biomarker that can detect the prodromal features of AD before the emergence of cognitive alterations.
“there exists no effective diagnostic biomarker that can detect the prodromal features of AD before the emergence of cognitive alterations (Cavedo et al., 2014).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Cavedo et al., 2014 source
The Abstract says biological markers can detect AD-related abnormalities years before overt clinical symptoms and that six biomarkers are sufficiently validated for inclusion in diagnostic criteria. The ‘Value of multimodal imaging in prevention trials’ section qualifies this: reliable staging before clinical onset may require a combination of biomarkers. That qualification does not support the categorical claim that no effective diagnostic biomarker exists. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
The 3xTg-AD mouse has cognitive decline particularly in long term memory.
“intraneuronal Aβ accumulation and cognitive decline particularly in long term memory (Bittner et al., 2010).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Bittner et al., 2010 source
The Discussion (page unavailable) says that 3xTg-AD mice show cognitive decline as early as 4–6 months and describes intracellular accumulation of oligomeric Aβ. It does not specify that the decline is particularly in long-term memory. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Interpretationcitation
The FA increase observed in the 3xTg-AD is different from previous reports in humans and mouse models.
“Here, the FA increase observed is different from previous reports in humans (Sexton et al., 2011) and mouse models (Sun et al., 2005, 2014; Snow et al., 2017), which could represent a rise before the fall; rising in FA prior to AD onset and falling during plaque build-up (Sun et al., 2005, 2014; Snow et al., 2017).”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites Sexton et al., 2011 source
- cites Sun et al., 2005, 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Snow et al., 2017 source
The Discussion reports decreased hippocampal FA in 3xTg mice, supporting the comparison with the citing paper’s observed increase. It also reports plaques in the affected hippocampus, but does not establish that FA rises before AD onset and then falls during plaque build-up; that temporal sequence is not supported by Snow et al. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Interpretationcitation
Reduced functional connectivity in the hippocampus could be a marker preceding cognitive decline.
“Here reduced FC could be a marker preceding cognitive decline (Sheline and Raichle, 2013).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Sheline and Raichle, 2013 source
- Premisecitation
Recent evidence indicates that the 3xTg-AD displays early changes in neuronal network and synaptic function, before the appearance of cognitive and physiological alterations.
“Nevertheless, recent evidence indicates that the 3xTg-AD displays early changes in neuronal network and synaptic function, before the appearance of cognitive and physiological alterations (Chakroborty et al., 2012; Gatta et al., 2014; Kazim et al., 2017).”
Quote in the paperSubstantial claim3 of 3 sources checked- cites Chakroborty et al., 2012 source
- cites Gatta et al., 2014 source
The Discussion section “Dendrite formation, synaptic plasticity, and memory” reports early changes in 3xTg-AD transcripts implicated in synaptic functioning. The paper measures gene expression, however, not neuronal-network or synaptic function directly, and it does not establish that these changes precede cognitive and physiological alterations (no page numbers provided). (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites Kazim et al., 2017 source
The Discussion reports heightened CA3 network excitability in 3-week-old 3xTg-AD mice before amyloid plaques, neurofibrillary pathology, and memory impairment. It does not establish that synaptic function changed before physiological alterations generally; network hyperexcitability is itself a physiological change. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Interpretationcitation
The rise before the fall in FA found in the present article could represent an early compensation process.
“The rise before the fall in FA (i.e., increase before the decrease) we found in the present article, could represent an early compensation process (Alba-Ferrara and de Erausquin, 2013).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Alba-Ferrara and de Erausquin, 2013 source
The Conclusions and future directions section says that increases and decreases in FA could reflect compensatory changes, supporting compensation as a possibility. It does not describe a temporal rise before a fall or identify compensation as an early process; it also says the authors consider diffuse dysregulation more likely. No page number is available in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Premisecitation
In the 3xTg-AD model, at later time points (at least 11 months), FA was decreased.
“Results in the literature using the same model indicate that at later time points (at least 11 months) FA was decreased in the 3xTg-AD (Snow et al., 2017)”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Snow et al., 2017 source
- Premisecitation
In humans, lateral ventricular enlargement was found even at early stages like MCI.
“and even at early stages like MCI (Nestor et al., 2008).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Nestor et al., 2008 source
- Findingown data
Several of the FA increases were overlapped by RD λ⊥ decreases in the 3xTg-AD model dependent on slice and ROI.
“Several of the FA increases were overlapped by RD λ⊥ decreases in the 3xTg-AD model dependent on slice and ROI.”
Quote in the paperNot a substantial claim - Findingown data
At 2 months of age, 3xTg-AD mice show a significant decrease in radial diffusivity (RD) in the cortex compared with wild-type controls.
“We found the 3xTg-AD had significant fractional anisotropy (FA) increase and radial diffusivity (RD) decrease in the cortex compared with wild-type controls, while axial diffusivity (AD) and mean diffusivity (MD) were similar.”
- Also stated in: § Structural Alterations Underlying Alzheimer’s Disease Assessed by DTI (Figure 3) · plain
“Cortex RD λ⊥ was 0.46 ± 0.02 μm2/ms in the 3xTg-AD mice and 0.53 ± 0.04 μm2/ms in control mice (p < 0.05).”
- Also stated in: § Voxel Based DTI Alterations (Figure 2) · plain
“As shown in Figure 2, RD λ⊥ was decreased in the 3xTg-AD compared with controls in the cortex spanning Bregma −4.6 mm to Bregma −7.0 mm covering visual, auditory, and somatosensory cortices.”
Quote in the paperSubstantial claim - Also stated in: § Structural Alterations Underlying Alzheimer’s Disease Assessed by DTI (Figure 3) · plain
- Findingown data
At 2 months of age, 3xTg-AD mice show caudate putamen (CPu) connectivity similar to controls.
“Interhemispheric hippocampal connectivity was decreased in the 3xTg-AD while connectivity in the caudate putamen (CPu) was similar to controls.”
- Also stated in: § Functional Connectivity Alterations in Alzheimer’s Disease Assessed by rsfMRI (Figure 5) · plain
“Note that the CPu network revealed no significant interhemispheric connectivity strength difference between the 3xTg-AD and controls, with values of 0.37 ± 0.12 and 0.36 ± 0.22, respectively.”
Quote in the paperSubstantial claim - Also stated in: § Functional Connectivity Alterations in Alzheimer’s Disease Assessed by rsfMRI (Figure 5) · plain
- Findingown data
At 2 months of age, 3xTg-AD mice have axial diffusivity (AD) and mean diffusivity (MD) in the cortex similar to wild-type controls.
“while axial diffusivity (AD) and mean diffusivity (MD) were similar.”
Quote in the paperNot a substantial claim - Findingown data
The average t-value change of FA was 2.2949 ± 0.3353 SD different in the 3xTg-AD compared with control mice.
“Here the average t-value change of FA was 2.2949 ± 0.3353 SD different in the 3xTg-AD compared with control mice.”
Quote in the paperNot a substantial claim - Findingown data
The average t value change of RD λ⊥ was 2.4098 ± 0.5027 SD different in 3xTg-AD compared with control mice.
“Here the average t value change of RD λ⊥ was 2.4098 ± 0.5027 SD different in 3xTg-AD compared with control mice.”
Quote in the paperNot a substantial claim - Findingown data
At 2 months of age, 3xTg-AD mice show decreased interhemispheric hippocampal connectivity compared with controls.
“Interhemispheric hippocampal connectivity was decreased in the 3xTg-AD while connectivity in the caudate putamen (CPu) was similar to controls.”
- Also stated in: § Functional Connectivity Alterations in Alzheimer’s Disease Assessed by rsfMRI (Figure 5) · plain
“Quantitatively, the interhemispheric correlation coefficients obtained from the hippocampal network were significantly lower in the 3xTg-AD compared with controls, with values of 0.14 ± 0.03 and 0.49 ± 0.17, respectively (unpaired student t-test, p < 0.01).”
- Also stated in: § Functional Connectivity Alterations in Alzheimer’s Disease Assessed by rsfMRI (Figure 5) · hedged
“These results indicate that the hippocampus was less functionally connected in mice with AD.”
Quote in the paperSubstantial claim - Also stated in: § Functional Connectivity Alterations in Alzheimer’s Disease Assessed by rsfMRI (Figure 5) · plain
- Findingown data
At 2 months of age, 3xTg-AD mice show a significant increase in fractional anisotropy (FA) in the cortex compared with wild-type controls.
“We found the 3xTg-AD had significant fractional anisotropy (FA) increase and radial diffusivity (RD) decrease in the cortex compared with wild-type controls, while axial diffusivity (AD) and mean diffusivity (MD) were similar.”
- Also stated in: § Structural Alterations Underlying Alzheimer’s Disease Assessed by DTI (Figure 3) · plain
“Cortex FA was 0.42 ± 0.05 μm2/ms in the 3xTg-AD mice and 0.25 ± 0.09 μm2/ms in control mice (p < 0.05).”
- Also stated in: § Voxel Based DTI Alterations (Figure 2) · plain
“As shown in Figure 2, FA was greater in the 3xTg-AD compared with controls in the cortex spanning Bregma −4.6 mm to Bregma −7.0 mm covering visual, auditory, and somatosensory cortices.”
Quote in the paperSubstantial claim - Also stated in: § Structural Alterations Underlying Alzheimer’s Disease Assessed by DTI (Figure 3) · plain
- Findingown data
At 2 months of age, 3xTg-AD mice have ventricular volume four times larger than controls.
“Most surprising, ventricular volume in the 3xTg-AD was four times larger than controls.”
- Also stated in: § Ventricular Enlargement in Alzheimer’s Disease (Figure 4) · plain
“Averaged ventricle volume in the 3xTg-AD mice was 5.39 ± 2.20 mm3, whereas the ventricle volume in the control mice was 1.40 ± 0.20 mm3.”
- Also stated in: § Ventricular Enlargement in Alzheimer’s Disease (Figure 4) · plain
“Using the RD λ⊥ map, ventricle volumetric analysis showed significant ventricle enlargement in the 3xTg-AD mice compared with controls (Figure 4).”
Quote in the paperNot a substantial claim - Also stated in: § Ventricular Enlargement in Alzheimer’s Disease (Figure 4) · plain
- Findingown data
The 3xTg-AD mouse model displays a reduction in interhippocampal connectivity as assessed by rsfMRI FC.
“We report that the 3xTg-AD mouse model displays a reduction in interhippocampal connectivity as assessed by rsfMRI FC (Figure 5A).”
Quote in the paperSubstantial claim- Rests on an assumption: The 3xTg-AD mouse model is a valid model of prodromal Alzheimer's disease pathology.
- Rests on an assumption: 2 months of age in 3xTg-AD mice corresponds to a prodromal stage of Alzheimer's disease.
- Findingown data
FA is increased in the cortex of 3xTg-AD mice at an early stage.
“we describe subtle, but significant changes in the cortical structure of the 3xTg-AD characterized by an increase in FA and a decrease in RD λ⊥ (Figures 2, 3).”
- Also stated in: § Prodromal DTI Changes in the 3xTg-AD Mouse Model · plain
“The present report found FA and RD λ⊥, increases and decreases, respectively, in cortex of the 3xTg-AD mice at an early stage”
- Also stated in: § Conclusion · plain
“Early stage alterations in 3xTg-AD mice at 2 months of age include significant FA increase and RD λ⊥ decrease in the cortex”
Quote in the paperSubstantial claim- Rests on an assumption: The 3xTg-AD mouse model is a valid model of prodromal Alzheimer's disease pathology.
- Rests on an assumption: 2 months of age in 3xTg-AD mice corresponds to a prodromal stage of Alzheimer's disease.
- Also stated in: § Prodromal DTI Changes in the 3xTg-AD Mouse Model · plain
- Findingown data
RD λ⊥ is decreased in the cortex of 3xTg-AD mice at an early stage.
“we describe subtle, but significant changes in the cortical structure of the 3xTg-AD characterized by an increase in FA and a decrease in RD λ⊥ (Figures 2, 3).”
- Also stated in: § Prodromal DTI Changes in the 3xTg-AD Mouse Model · plain
“The present report found FA and RD λ⊥, increases and decreases, respectively, in cortex of the 3xTg-AD mice at an early stage”
- Also stated in: § Conclusion · plain
“Early stage alterations in 3xTg-AD mice at 2 months of age include significant FA increase and RD λ⊥ decrease in the cortex”
Quote in the paperSubstantial claim- Rests on an assumption: The 3xTg-AD mouse model is a valid model of prodromal Alzheimer's disease pathology.
- Rests on an assumption: 2 months of age in 3xTg-AD mice corresponds to a prodromal stage of Alzheimer's disease.
- Also stated in: § Prodromal DTI Changes in the 3xTg-AD Mouse Model · plain
- Findingown data
Nearly 4× increased ventricular volume size in 3xTg-AD mice at 2 months of age as determined by RD λ⊥ volumetry outlined by DTI.
“nearly 4× increased ventricular volume size as determined by RD λ⊥ volumetry outlined by DTI”
Quote in the paperSubstantial claim- Rests on an assumption: The 3xTg-AD mouse model is a valid model of prodromal Alzheimer's disease pathology.
- Rests on an assumption: 2 months of age in 3xTg-AD mice corresponds to a prodromal stage of Alzheimer's disease.
- Interpretationown data
The 3xTg-AD mouse model develops MRI detectable changes prior to reported cognitive and pathophysiological alterations.
“Here we demonstrate the 3xTg-AD mouse model develops MRI detectable changes prior to reported cognitive and pathophysiological alterations.”
- Also stated in: § Discussion · plain
“We report in the young 3xTg-AD that prodromal neuropathology can be identified using DTI and rsfMRI.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Interpretationreasoning
Early stage ventricle enlargement in the 3xTg-AD could be explained by hippocampal shrinkage due to the structural proximity.
“Despite late stage ventricular increases in mouse models of AD (Hohsfield et al., 2014), we found an early stage ventricle enlargement that could be explained by hippocampal shrinkage due to the structural proximity (Figure 3).”
Quote in the paperSubstantial claim - Premisecitation
2-month-old 3xTg-AD mice are cognitively normal.
“Based on previous reports we decided to investigate 2-month-old 3xTg-AD mice as they are cognitively normal (Oddo et al., 2003).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Oddo et al., 2003 source
- Interpretationown data
The early stage changes in interhemispheric hippocampal connectivity in the 3xTg-AD mouse could represent a translational biomarker to human models in preclinical stages of AD.
“The results obtained in this study characterize the early stage changes in interhemispheric hippocampal connectivity in the 3xTg-AD mouse that could represent a translational biomarker to human models in preclinical stages of the AD.”
Quote in the paperSubstantial claim - Study design and conductreasoning
Only female 3xTg-AD mice were used in the present study.
“Only the female sex of the 3xTg-AD mice was used in the present study to facilitate scanning preparation and due to the early progression of Aβ (Carroll et al., 2007, 2010a,b; Hirata-Fukae et al., 2008)”
Quote in the paperSubstantial claim - Interpretationreasoning
Functional alterations in connectivity assessment (decreased bilateral hippocampal connectivity) probably result from structural alterations in the 3xTg-AD (altered DTI metrics and ventricular volume).
“functional alterations in our connectivity assessment (i.e., decreased bilateral hippocampal connectivity, Figure 5) probably result from structural alterations in the 3xTg-AD (i.e., altered DTI metrics and ventricular volume).”
Quote in the paperSubstantial claim- Rests on an assumption: The 3xTg-AD mouse model is a valid model of prodromal Alzheimer's disease pathology.
- Rests on an assumption: 2 months of age in 3xTg-AD mice corresponds to a prodromal stage of Alzheimer's disease.
- Interpretationreasoning
The increased FA followed by gradual decline could be a biomarker of AD.
“thus the increased FA followed by gradual decline could be a biomarker of AD.”
Quote in the paperSubstantial claim- Rests on an assumption: The 3xTg-AD mouse model is a valid model of prodromal Alzheimer's disease pathology.
- Rests on an assumption: MRI metrics (FA, RD, rsfMRI FC) in mice are translatable to human AD.
- Interpretationown data
Subtle changes in structural and functional MRI measures could be related to the prodromal progression of pathology in the 3xTg-AD mouse model.
“The main findings in this article show that subtle changes in structural and functional measures as assessed by MRI could be related to the prodromal progression of pathology in the 3xTg-AD.”
Quote in the paperSubstantial claim- Rests on an assumption: The 3xTg-AD mouse model is a valid model of prodromal Alzheimer's disease pathology.
- Rests on an assumption: 2 months of age in 3xTg-AD mice corresponds to a prodromal stage of Alzheimer's disease.
- Interpretationown data
Early prodromal neuropathology can be detected using neuroimaging techniques.
“Here, the current study corroborates that early prodromal neuropathology can be detected using neuroimaging techniques”
Quote in the paperSubstantial claim- Rests on an assumption: The 3xTg-AD mouse model is a valid model of prodromal Alzheimer's disease pathology.
- Rests on an assumption: 2 months of age in 3xTg-AD mice corresponds to a prodromal stage of Alzheimer's disease.
- Interpretationcitation
The reduction in interhemispheric connectivity, particularly in the hippocampal formation at a prodromal stage in the 3xTg-AD model (2.0 months), could be related to alterations in working and reference memory.
“The reduction in interhemispheric connectivity, particularly in the hippocampal formation at a prodromal stage of the disease in the 3xTg-AD model (2.0 months) could be related to a previous report of alterations in working and reference memory (Stevens and Brown, 2015).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Stevens and Brown, 2015 source
- Rests on an assumption: The 3xTg-AD mouse model is a valid model of prodromal Alzheimer's disease pathology.
- Rests on an assumption: 2 months of age in 3xTg-AD mice corresponds to a prodromal stage of Alzheimer's disease.
- Classified as probably not a substantial claim. 24
- May combine two claims. 10
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn the PS1 gene familial AD M146V transgenic mouse model, hippocampal augmentation was accompanied by lateral ventricular enlargement.
“In this study the hippocampal augmentation was accompanied by lateral ventricular enlargement (Gama Sosa et al., 2010).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Gama Sosa et al., 2010 source
The section on decreased microvasculature and brain atrophy reports hippocampal atrophy, not augmentation: hippocampal volume was about 30% lower in the PS1 M146V mice than in pooled controls. The Figure 6 caption in the Discussion identifies the lateral ventricle but does not state that it was enlarged. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationResting-state functional MRI (rsfMRI) has demonstrated decreased functional connectivity (FC) in AD patients versus controls.
“resting-state functional MRI (rsfMRI) have demonstrated decreased functional connectivity (FC) in AD patients vs. controls (Dennis and Thompson, 2014; Teipel et al., 2017).”
Quote in the paperSubstantial claim2 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationThe FA increase could represent a rise before the fall; rising in FA prior to AD onset and falling during plaque build-up.
“Here, the FA increase observed is different from previous reports in humans (Sexton et al., 2011) and mouse models (Sun et al., 2005, 2014; Snow et al., 2017), which could represent a rise before the fall; rising in FA prior to AD onset and falling during plaque build-up (Sun et al., 2005, 2014; Snow et al., 2017).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Sun et al., 2005, 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Snow et al., 2017 source
The Discussion reports decreased hippocampal FA in symptomatic 3xTg mice whose hippocampi contained both amyloid plaques and neurofibrillary tangles. It does not report FA rising before AD onset or track a subsequent fall during plaque build-up; those parts of the proposed trajectory remain unsupported. (LLM, conf=0.83)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThe 3xTg-AD mouse has synaptic and cholinergic degeneration deficits.
“synaptic and cholinergic degeneration deficits (Perez et al., 2011)”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Perez et al., 2011 source
The Discussion section reports age-dependent cholinergic neuritic dystrophy and reduced cholinergic fiber density in 3xTg-AD mice. It does not report synaptic degeneration in these mice; the synaptic findings located in our copy appear only in titles in the References section. No page numbers are available in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn the PS1 gene familial AD M146V transgenic mouse model, authors reported an average reduction in hippocampal volume of 30% compared with controls.
“It is noteworthy, that in the PS1 gene familial AD M146V transgenic mouse model, authors reported an average reduction in hippocampal volume of 30% compared with controls (Gama Sosa et al., 2010).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Gama Sosa et al., 2010 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn patients with mild cognitive impairment (MCI), MRI changes include increased MD in white matter and gray matter.
“These changes include increased MD in WM and GM (Jahng et al., 2011; Gyebnár et al., 2018)”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Jahng et al., 2011 source
The Discussion reports higher MD in MCI than in cognitively normal subjects in several specific regions, but it does not establish increases in both white and gray matter. The Results and Discussion state that the overall MCI–normal comparisons found no significant MD differences; the paper’s reported increases in both tissue types primarily concern Alzheimer’s disease, not MCI. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites Gyebnár et al., 2018 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe 3xTg-AD mouse has intraneuronal Aβ accumulation.
“intraneuronal Aβ accumulation and cognitive decline particularly in long term memory (Bittner et al., 2010).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Bittner et al., 2010 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDiffusion tensor imaging (DTI) has demonstrated increased mean diffusivity (MD) associated with the hippocampus and gray matter atrophy in AD patients.
“Diffusion tensor imaging (DTI) has demonstrated increased medial diffusivity (MD) associated with the hippocampus and gray matter (GM) atrophy in AD patients (Oishi et al., 2011).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Oishi et al., 2011 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAnother study of an overlapping age range (12-14 months) found that the 3xTg-AD developed decreases in FA and axial diffusivity (AD λ//).
“but in another study of an overlapping age range (12–14 months) the 3xTg-AD developed decreases in FA and axial diffusivity (AD λ//; Snow et al., 2017).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Snow et al., 2017 source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationThe caudate putamen (CPu) was similar in size to the overall hippocampus and little FC alteration in the 3xTg-AD model was suspected in comparison to the known hippocampal alterations.
“The CPu was used as a FC control for SBA analysis as it was similar in size to the overall hippocampus and little FC alteration in the 3xTg-AD model was suspected in comparison to the known hippocampal alterations (Oddo et al., 2003; Oishi et al., 2011; Shah et al., 2016, 2018).”
Quote in the paperSubstantial claim1 of 3 sources checked- cites Oddo et al., 2003 source
- cites Oishi et al., 2011 source
In “WHAT IS THE POTENTIAL OF DTI TO EVALUATE THE AD BRAIN?” (page not available), the paper reports hippocampal abnormalities in Alzheimer’s disease. It does not address CPu size, its use as a functional-connectivity control, or expected connectivity changes in the 3xTg-AD model. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites Shah et al., 2016, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationcitationVentricle enlargement could represent a prodromal feature related to AD that could be used as an early predictor of disease progression.
“Together this result indicates that ventricle enlargement could represent a prodromal feature related to AD that could be used as an early predictor of disease progression (Carlson et al., 2008; Weiner, 2008).”
Quote in the paperSubstantial claim1 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn humans, lateral ventricular enlargement was found to be a prominent feature in AD.
“In humans, lateral ventricular enlargement was found to be a prominent feature in AD (Cash et al., 2015)”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Cash et al., 2015 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSome preclinical AD data has indicated altered rsfMRI FC resulting in a loss of connectivity in the default mode network and salience network, and this finding correlates with Aβ plaque accumulation, resulting in decreased connectivity between the precuneus and hippocampus.
“Some preclinical AD data has indicated altered rsfMRI FC (Sheline and Raichle, 2013) resulting in a loss of connectivity in the default mode network and salience network (Brier et al., 2012) and this finding correlates with Aβ plaque accumulation, resulting in decreased connectivity between the precuneus and hippocampus (Sheline et al., 2010).”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites Sheline and Raichle, 2013 source
- cites Brier et al., 2012 source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites Sheline et al., 2010 source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRecent evidence in patients indicates that this increase in FA could be related to soluble Aβ rising in the early stage of AD.
“Recent evidence in patients indicates that this increase in FA could be related to soluble Aβ rising in the early stage of AD (Racine et al., 2014).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Racine et al., 2014 source
The Results (Region of interest; Whole brain) report higher FA in participants with greater amyloid burden, consistent with an association in preclinical AD. But the paper measured amyloid deposition using PiB PET, not rising soluble Aβ, and the Discussion states that all participants were cognitively normal rather than patients with symptomatic AD. Page numbers are unavailable in our copy. (LLM, conf=0.89)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationWorking and reference memory rely on efficient hippocampal connectivity between cortical areas.
“Working and reference memory rely on efficient hippocampal connectivity between cortical areas (Jones and Wilson, 2005).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Jones and Wilson, 2005 source
The Discussion reports functional connectivity between the hippocampus and prefrontal cortex during a spatial working-memory task, supporting the working-memory portion of the claim. Our copy does not establish that reference memory relies on this connectivity, nor that the observed coordination is necessary for either form of memory. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
Findingnone givenAlthough connectivity in the CPu between the 3xTg-AD and controls was not significantly different, the network pattern was altered.
“Although connectivity in the CPu between the 3xTg-AD and controls was not significantly different, the network pattern was altered.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationVital signs were within normal physiological ranges throughout the duration of the experiment.
“Vital signs were within normal physiological ranges (rectal temperature: 36.5–37.5°C, heart rate: 350–420 beats/min, breathing: 54–56 breaths/min, oxygen saturation: ~95%, end-tidal CO2: ~40 mmHg) throughout the duration of the experiment (Chan et al., 2009; Lau et al., 2011; Cheung et al., 2012a,b; Zhou et al., 2014).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenControl mice were wild type non-transgenic of the same age and weight as 3xTg-AD mice.
“Control mice were wild type non-transgenic of the same age and weight as 3xTg-AD mice.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOne study found that the 3xTg-AD does not develop MRI detectable changes in late-life (11-17 months).
“In one study, the 3xTg-AD does not develop MRI detectable changes in late-life (11–17 months; Kastyak-Ibrahim et al., 2013)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kastyak-Ibrahim et al., 2013 source
May combine two claims.
PremisecitationAt 2 months of age, Aβ deposition has not altered hippocampal functioning and the animals do not display long term memory alterations.
“Here Aβ deposition has not altered hippocampal functioning and the animals do not display long term memory alterations (Sterniczuk et al., 2010).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Sterniczuk et al., 2010 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe lateral ventricle was delineated using the RD λ⊥ map of each mouse to minimize the partial volume effect of gray and white matter structures.
“The lateral ventricle on slices Bregma −3.0 and −3.8 mm was delineated using the RD λ⊥ map of each mouse to minimize the partial volume effect of gray and WM structures.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationFemale mice have a greater Aβ burden.
“Female mice were used as they have a greater Aβ burden (Carroll et al., 2007, 2010a,b; Hirata-Fukae et al., 2008).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Carroll et al., 2007, 2010a,b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Hirata-Fukae et al., 2008 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA meta-analysis of DTI studies found that fractional anisotropy (FA) was decreased in AD in all regions except the parietal white matter and internal capsule.
“A meta-analysis of DTI studies found that fractional anisotropy (FA) was decreased in AD in all regions except the parietal white matter (WM) and internal capsule (Sexton et al., 2011).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sexton et al., 2011 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn patients with MCI, MRI changes include a reduction in FA.
“and a reduction in FA (Gyebnár et al., 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Gyebnár et al., 2018 source
May combine two claims.
PremisecitationThe 3xTg-AD mouse harbors presenilin 1 (PS1; M146V), amyloid precursor protein (APP; Swe), and tau(P301L) transgenes and progressively develops the pathology associated with human AD.
“One of the most studied animal model of AD is the triple transgenic mouse model of AD (3xTg-AD) harboring presenilin 1 (PS1; M146V), amyloid precursor protein (APP; Swe), and tau(P301L) transgenes that progressively develops the pathology associated with human AD (Oddo et al., 2003).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Oddo et al., 2003 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn the APP/PS1 mouse model of AD, significant FA and AD λ// increase was found in the cingulate cortex and striatum; FA increases in the thalamus, MD and RD λ⊥ increases in the bilateral neocortex, and FA increases in the left hippocampus.
“As an example, in the APP/PS1 mouse model of AD a significant FA and AD λ// increase was found in the cingulate cortex and striatum; in addition to FA increases in the thalamus, MD and RD λ⊥ increases in the bilateral neocortex, and FA increases in the left hippocampus (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).
PremisecitationIn the 3xTg-AD model, at later time points, no significant difference in FA compared with control mice was detectable.
“or no significant difference in 3xTg-AD mice compared with control mice was detectable (Kastyak-Ibrahim et al., 2013)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kastyak-Ibrahim et al., 2013 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe present study did not note the estrus cycle of the 3xTg-AD mice.
“The present study, did not note the estrus cycle of our 3xTg-AD mice”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA meta-analysis of DTI studies indicated FA was decreased in AD in all regions except the parietal WM and internal capsule.
“Furthermore, a meta-analysis of DTI studies indicated FA was decreased in AD in all regions except the parietal WM and internal capsule (Sexton et al., 2011).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sexton et al., 2011 source
May combine two claims.
PremisecitationDuring AD development there exists a reorganization of neuronal network connectivity, not only a generalized reduction, but an adaptive response due to pathological changes.
“The finding correlates with evidence that during AD development there exists a reorganization of neuronal network connectivity, not only resembling a generalized reduction, but an adaptive response due to pathological changes (Dubovik et al., 2013).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Dubovik et al., 2013 source
The paper relies on this without support.
The 3xTg-AD mouse model is a valid model of prodromal Alzheimer's disease pathology.
“the 3xTg-AD mouse model displays a reduction in interhippocampal connectivity”
The paper relies on this without support.
2 months of age in 3xTg-AD mice corresponds to a prodromal stage of Alzheimer's disease.
“at a prodromal stage of the disease in the 3xTg-AD model (2.0 months)”
The paper relies on this without support.
MRI metrics (FA, RD, rsfMRI FC) in mice are translatable to human AD.
“for clinical translation”
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?
Other studies conducted on the same model in mice at ages 2, 12, and 14 months identified significant WM alterations.
“Conversely, other studies conducted on the same model in mice at ages 2, 12, and 14 months identified significant WM alterations (Manno et al., 2019; Nie et al., 2019; Falangola et al., 2021).”
From Multimodal MRI combined with RNA sequencing reveals pathological signatures in the 9-month-old 3×Tg-AD mouse brain (2026) · cites this paper as Manno et al., 2019
The Introduction and Results (Structural Alterations Underlying Alzheimer’s Disease Assessed by DTI; page not specified) report significant diffusion-measure changes in 2-month-old 3xTg-AD mice. Those passages locate the changes in cortical regions, however, rather than clearly identifying them as white-matter alterations. This paper supports the 2-month finding, not the 12- or 14-month ages associated with the other citations. (LLM, conf=0.83)
Experimental — accuracy not yet measuredFA 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).”
From Age-dependent microstructure alterations in 5xFAD mice by high-resolution diffusion tensor imaging (2022) · cites this paper as Manno et al., 2019
Sample sizes were not predetermined using statistical methods, but were similar to those reported in previous publications.
“Sample sizes were not predetermined using statistical methods; however, our sample sizes are similar to those reported in previous publications (Manno et al., 2019; Rollins et al., 2019; Güell-Bosch et al., 2020).”
From Multimodal MRI combined with RNA sequencing reveals pathological signatures in the 9-month-old 3×Tg-AD mouse brain (2026) · cites this paper as Manno et al., 2019
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.
Voxel-cluster cutoff is stated two ways
MinorThe methods require clusters larger than three voxels, while the results include clusters with at least three voxels. A cluster of exactly three voxels qualifies under the latter rule but not the former.
“The VBS clusters were considered significant at threshold p < 0.05 and cluster size >3 voxels.”
“Figure 3 shows the results of the VBS, highlighting clusters in which there are at least three contiguous voxels (p < 0.05).”
Hippocampal change is described as both reduction and augmentation
MinorThe discussion describes a 30% reduction in hippocampal volume in the cited study, then calls the hippocampal change in that study an augmentation.
“authors reported an average reduction in hippocampal volume of 30% compared with controls (Gama Sosa et al., 2010).”
“In this study the hippocampal augmentation was accompanied by lateral ventricular enlargement (Gama Sosa et al., 2010).”
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Cheung, M. M., Lau, C., Zhou, I. Y., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.031 · Cited by 29 · see citing works
Self-citationSnow, 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
Lau, C., Pienkowski, M., Zhang, J. W., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.065 · Cited by 28 · see citing works
Self-citationIn vivo diffusion tensor imaging of amyloid‐β‐induced white matter damage in mice
Sun, S.-W., Liang, H.-F., Mei, J., Xu, D., & Shi, W.-X. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-130236 · Cited by 27 · see citing works
Kastyak-Ibrahim, M. Z., Di Curzio, D. L., Buist, R., Herrera, S. L., Albensi, B. C., Del Bigio, M. R., & Martin, M. (2013) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2013.06.013 · Cited by 23 · see citing works
Jahng, G.-H., Xu, S., Weiner, M. W., Meyerhoff, D. J., Park, S., & Schuff, N. (2011) · Neuroradiology · doi:10.1007/s00234-011-0845-3 · Cited by 21 · see citing works
Expanding ventricles may detect preclinical Alzheimer disease
Weiner, M. W. (2008) · Neurology · doi:10.1212/01.wnl.0000304743.72127.cc · Cited by 21 · see citing works
The multi-level impact of chronic intermittent hypoxia on central auditory processing
Wong, E. C., Yang, B., Du, L., Ho, W. H., Lau, C., Ke, Y., Chan, Y., Yung, W., & Wu, E. X. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.05.036 · Cited by 9 · see citing works
Self-citationSoejima, N., Ohyagi, Y., Nakamura, N., Himeno, E., Iinuma, K. M., Sakae, N., Yamasaki, R., Tabira, T., Murakami, K., Irie, K., et al. (2013) · Current Alzheimer Research · doi:10.2174/1567205011310010003 · Cited by 8
Abdoli, S., Ho, L. C., Zhang, J. W., et al. (2016) · The Journal of the Acoustical Society of America · doi:10.1121/1.4972300 · Cited by 4 · see citing works
Carroll, J. C., Rosario, E. R., Villamagna, A. H., et al. (2009) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2009.04.561 · Cited by 1 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
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
Falangola, M. F., Nie, X., Ward, R., Dhiman, S., Voltin, J., Nietert, P. J., & Jensen, J. H. (2021) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2021.06.022 · Cited by 25 · see citing works
Diffusion MRI detects early brain microstructure abnormalities in 2-month-old 3×Tg-AD mice
Falangola, M. F., Nie, X., Ward, R., McKinnon, E. T., Dhiman, S., Nietert, P. J., Helpern, J. A., & Jensen, J. H. (2020) · NMR in Biomedicine · doi:10.1002/nbm.4346 · Cited by 22 · see citing works
Müller, H.-P., Roselli, F., Rasche, V., & Kassubek, J. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00734 · Cited by 12 · see citing works
Age-dependent microstructure alterations in 5xFAD mice by high-resolution diffusion tensor imaging
Maharjan, S., Tsai, A. P., Lin, P. B., Ingraham, C., Jewett, M. R., Landreth, G. E., Oblak, A. L., & Wang, N. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.964654 · Cited by 11 · 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.”
BackgroundShen, 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
Falangola, M. F., Nie, X., Voltin, J., Ward, R., Dhiman, S., Nietert, P. J., & Jensen, J. H. (2022) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2022.09.002 · Cited by 6 · see citing works
Li, Y., Tang, Z., Yao, M., Ran, Y., & Qiu, Z. (2026) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-25-00006
- Authors
- Manno, F. A. M., Isla, A. G., Manno, S. H. C., Ahmed, I., Cheng, S. H., Barrios, F. A., & Lau, C.
- Venue
- Frontiers in Aging Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2019-03-22
- Volume
- 11
- Pages
- 39-39
- ISSN
- 1663-4365 (ISSN-L)
- PMC
- PMC6440287
- OpenAlex
- W2934816646
- Semantic Scholar
- 20d555fe5846244d48177df278dbfb94489fd2d7
- Cited by
- 49
- References
- 71
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 6 · 2023: 7 · 2022: 9 · 2021: 10 · 2020: 5 · 2018: 1
- FWCI
- 3.44
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Aging Neuroscience (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (submittedVersion, cc-by)
- PubMed Central (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- CityU Scholars (submittedVersion, cc-by)
- Funders
- Consejo Nacional de Ciencia y Tecnología (578458)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- Alzheimer's disease, 3xTg-AD mice, white matter microstructure, hippocampal connectivity, interhemispheric connectivity, caudate-putamen, ventriculomegaly, fractional anisotropy, radial diffusivity, resting-state functional connectivity, preclinical biomarkers
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 2026-10-24.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-24.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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