Disrupted structural connectivity in ArcAβ mouse model of Aβ amyloidosis
Open accessAbstract
Although amyloid beta (Aβ) deposition is one of the major causes of white matter (WM) alterations in Alzheimer’s disease (AD), little is known about the underlying basis of WM damage and its association with global structural connectivity and network topology. We aimed to dissect the contributions of WM microstructure to structural connectivity and network properties in the ArcAβ mice model of Aβ amyloidosis. We acquired diffusion-weighted images (DWI) of wild type (WT) and ArcAβ transgenic (TG) mice using a 9.4 T MRI scanner. Fixel-based analysis (FBA) was performed to measure fiber tract-specific properties. We also performed three complementary experiments; to identify the global differences in structural connectivity, to compute network properties and to measure cellular basis of white matter alterations. Transgenic mice displayed disrupted structural connectivity centered to the entorhinal cortex (EC) and a lower fiber density and fiber bundle cross-section. In addition, there was a reduced network efficiency and degree centrality in weighted structural connectivity in the transgenic mice. To further examine the underlying neuronal basis of connectivity and network deficits, we performed histology experiments. We found no alteration in myelination and an increased level of neurofilament light (NFL) in the brain regions with disrupted connectivity in the TG mice. Furthermore, TG mice had a reduced number of perineuronal nets (PNN) in the EC. The observed FDC reductions may indicate a decrease in axonal diameter or axon count which would explain the basis of connectivity deficits and reduced network efficiency in TG mice. The increase in NFL suggests a breakdown of axonal integrity, which would reduce WM fiber health. Considering the pivotal role of the EC in AD, Aβ deposition may primarily increase NFL release, damaging PNN in the entorhinal pathway, resulting in disrupted structural connectivity.
AI snapshot
Written from the paper’s full text.
TL;DR
In the ArcAβ mouse model of Aβ amyloidosis, transgenic mice showed disrupted white matter fiber-specific properties and structural connectivity centered on the entorhinal cortex, alongside reduced network efficiency and degree centrality. Histology linked these connectivity deficits to increased neurofilament light and reduced perineuronal nets, without evidence of altered myelination.
Key findings
- Fixel-based analysis found significant (FWE-corrected p ≤ 0.05) reductions in fiber density (FD), fiber bundle cross-section (FC), and fiber density plus cross-section (FDC) in transgenic mice, mainly in the right hemisphere: corpus callosum, hippocampal commissure, retrosplenial cortex, dorsal hippocampus, and thalamus.
- Network-based statistics identified disrupted structural connectivity in five right-hemisphere nodes—entorhinal cortex (EC.R), periaqueductal grey (Pag.R), subiculum (Sub.R), mediolateral cortex (V2ml.R), and secondary visual cortex (V2.R)—with the lowest p-values at threshold t = 3.4 for network intensity (p = 0.029) and extent (p = 0.048); the EC was the largest module with 3 edges.
- Graph theory showed reduced degree centrality (t13 = 2.21, p = 0.045) and local efficiency (t13 = 2.26, p = 0.041) in transgenic mice, while betweenness centrality, global efficiency, small-world clustering coefficient, small-world path length, nodal clustering coefficient, and nodal shortest path length were not significantly reduced.
- Immunohistochemistry showed increased NFL immunoreactivity in transgenic mice across brain regions (main effect of genotype F1,162 = 131.7, p < 0.001; genotype × ROI interaction F4,162 = 10.31, p < 0.001), no significant genotype × ROI interaction for MBP, and reduced PNN intensity in EC, V2, and V2ml; PNN count was reduced in EC and V2 but not hippocampus.
Methods
- A total of 32 mice were used: diffusion MRI in WT (n = 12) and ArcAβ transgenic (n = 8) mice aged 381–431 days, plus an additional 12 mice (n = 6/group) aged 157–214 days for immunohistochemistry.
- DWI was acquired on a 9.4 T Bruker scanner with voxel size 0.15 × 0.13 × 0.45 mm, TR = 2000 ms, TE = 22 ms, b = 0 and 1000 s/mm², and 36 directions; analyses included fixel-based analysis, probabilistic tractography, 76-region structural connectomes, network-based statistics with 5000 permutations, and graph theory using GRETNA.
- Immunohistochemistry labeled NFL, myelin basic protein (MBP), and perineuronal nets (PNN) with WFA; two-way ANOVA followed by Bonferroni post hoc tests compared genotype and brain region effects.
Limitations
- The authors state they could not include the MRI brain samples in histology because those samples were exhausted in a previous study.
- The authors note the DWI voxel size was 0.15 × 0.13 × 0.45 mm, so crossing-fiber calculation may not have been realistic, especially with a 0.45 mm slice; they argue this was mitigated by probabilistic tractography and 36 diffusion directions.
- The authors did not measure myelin proteolipid protein (MPP) or myelin oligodendrocyte glycoprotein (MOG), and they did not measure pre- or post-synaptic density; evident from the text, the sample sizes were small (n = 8 transgenic for MRI, n = 6/group for histology) and the MRI and histology cohorts differed in age.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
28 of 51 cited sources checked · 15 supported · 3 flagged · accuracy not yet measured
- Premisecitation
Decreased local and global efficiency is a common characteristic of patients with AD.
“A decreased local (Zhou and Lui, 2013) and global (Martensson et al., 2018) efficiency is a common characteristic of patients with AD.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Zhou and Lui, 2013 source
- cites Martensson et al., 2018 source
The citation to Mårtensson et al. is attached to global efficiency, not local efficiency. The Results report significantly increased global efficiency in AD patients for binary networks generated from cortical thickness, and the Discussion reports a stable, significant increase—not the claimed decrease. (LLM, conf=0.91)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
Aβ mouse model of amyloidosis (5XFAD mice) also showed a decreased network efficiency.
“In addition, Aβ mouse model of amyloidosis (5XFAD mice) also showed a decreased network efficiency (Kesler et al., 2018).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Kesler et al., 2018 source
The Discussion explicitly says that decreased network efficiency, reported in patients with AD, was not observed in the 5XFAD mice. The paper reports other connectome differences, including higher characteristic path length, but does not equate those findings with decreased efficiency. (LLM, conf=0.95)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
Existing evidence from human studies strongly supports the relationship between raised NFL levels and WM microstructure damage.
“Existing evidence from human studies strongly support the relationship between raised NFL levels and WM microstructure damage (Moore et al., 2018, Osborn et al., 2018).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Moore et al., 2018 source
- cites Osborn et al., 2018 source
The Discussion (page unavailable) reports that higher CSF NFL was associated with greater white matter hyperintensities in older adults. This supports a relationship with white matter injury, but the study measured FLAIR-assessed hyperintensities, not white matter microstructure directly, and describes its cross-sectional findings as initial evidence rather than strong support. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Amyloid deposition damages the ECM scaffold.
“Amyloid deposition damages the ECM scaffold (Ajmo et al., 2010, Sykova et al., 2005).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Ajmo et al., 2010 source
The Discussion (page not supplied) says Aβ deposition may disrupt ECM processing, and reports altered processing of the ECM component brevican in plaque-bearing mice. It does not establish that amyloid deposition directly damages the ECM scaffold; the authors leave the mechanism and broader effects uncertain. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites Sykova et al., 2005 source
The Discussion links possible loss of extracellular matrix molecules to aging in control mice, and separately describes amyloid plaques and altered extracellular-space properties in APP23 mice. The passages searched do not say that amyloid deposition damages the extracellular matrix scaffold. (LLM, conf=0.73)
Experimental — accuracy not yet measured
- Premisecitation
Disrupted structural connectivity in the EC is also a feature of AD.
“Disrupted structural connectivity in the EC is also a feature of AD (Mallio et al., 2015).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Mallio et al., 2015 source
- Premisecitation
Aβ load at 6 months is low in TG mice compared to 11 months.
“The Ab load at 6 months is low in TG mice compared to 11 months (Grandjean et al., 2014).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Grandjean et al., 2014 source
The section “Amyloid plaque deposition starts in the early life stage” reports only anecdotal plaques at 5 months, compared with dense pathology at 11 months. This supports the age-related comparison, but the paper does not report Aβ load at the claimed age of 6 months. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
PNN plays a key role in retaining neuronal connectivity.
“In addition, PNN plays a key role in retaining neuronal connectivity (Bikbaev et al., 2015).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Bikbaev et al., 2015 source
The introductory passage identifies PNNs as a dense form of brain extracellular matrix (ECM), and the Discussion says ECM helps retain functional connectivity. But the study’s conclusion concerns ECM in mature hippocampal cultures; it does not establish the distinct contribution of PNNs apart from diffuse ECM. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
Most previous studies support a beneficial role of PNN in Alzheimer's disease mouse models.
“In summary, most of the previous studies are in support of beneficial role of PNN in AD mouse model.”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites Morawski et al., 2012 source
The Discussion (Functional implications; page not provided) describes potential neuroprotective actions of perineuronal nets, including protection against amyloid toxicity in vitro. The Discussion (Area-specific laminar distribution patterns; page not provided) also cites one AD mouse-model study in which perineuronal nets were largely unchanged. These passages do not establish that most previous studies found a beneficial role in AD mouse models. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites Miyata et al., 2007 source
- cites Morawski et al., 2010a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
There was no alteration in myelination in the brain regions with disrupted connectivity in TG mice.
“We found no alteration in myelination and an increased level of neurofilament light (NFL) in the brain regions with disrupted connectivity in the TG mice.”
- Also stated in: § Increased immunoreactivity to NFL in ArcAβ transgenic mice · plain
“However, there was no significant interaction (F4,162 = 1.91; p = 0.111) between Genotype with ROI (Fig. 5d).”
Quote in the paperSubstantial claim - Also stated in: § Increased immunoreactivity to NFL in ArcAβ transgenic mice · plain
- Findingown data
PNN immunoreactivity was significantly reduced in EC, V2 and V2ml regions in TG mice.
“The PNN immunoreactivity was significantly reduced in EC, V2 and V2ml regions in TG mice (Fig. 6d).”
Quote in the paperSubstantial claim - Findingown data
The observed decreased FD, FC and FDC were shown in the right hemisphere, particularly in the corpus callosum, hippocampal commissure, retrosplenial cortex, dorsal hippocampus and thalamus.
“Observed decreased FD, FC and FDC were shown in the right hemisphere, particularly in the corpus callosum, hippocampal commissure, retrosplenial cortex, dorsal hippocampus and thalamus.”
Quote in the paperSubstantial claim - Findingown data
NFL immunoreactivity was significantly elevated in each brain region in TG mice.
“NFL immunoreactivity was significantly elevated in each brain regions in TG mice (Fig. 5e).”
Quote in the paperSubstantial claim - Findingown data
There was an increased level of neurofilament light (NFL) in the brain regions with disrupted connectivity in TG mice.
“We found no alteration in myelination and an increased level of neurofilament light (NFL) in the brain regions with disrupted connectivity in the TG mice.”
- Also stated in: § Increased immunoreactivity to NFL in ArcAβ transgenic mice · plain
“NFL immunoreactivity was significantly elevated in each brain regions in TG mice (Fig. 5e).”
Quote in the paperSubstantial claim - Also stated in: § Increased immunoreactivity to NFL in ArcAβ transgenic mice · plain
- Findingown data
TG mice had a reduced number of perineuronal nets (PNN) in the entorhinal cortex.
“Furthermore, TG mice had a reduced number of perineuronal nets (PNN) in the EC.”
- Also stated in: § Decrease of PNN fluorescent intensity in ArcAβ transgenic mice · plain
“The PNN immunoreactivity was significantly reduced in EC, V2 and V2ml regions in TG mice (Fig. 6d).”
Quote in the paperSubstantial claim - Also stated in: § Decrease of PNN fluorescent intensity in ArcAβ transgenic mice · plain
- Findingown data
Transgenic mice had reduced degree centrality in weighted structural connectivity.
“Transgenic mice had significant reductions in degree centrality (aDc) (t13 = 2.21, p = 0.045) (Fig. 4Ab), and local efficiency (aEloc) (t13 = 2.26, p = 0.041) (Fig. 4Ad)”
- Also stated in: § Abstract · plain
“In addition, there was a reduced network efficiency and degree centrality in weighted structural connectivity in the transgenic mice.”
Quote in the paperSubstantial claim - Also stated in: § Abstract · plain
- Findingown data
Transgenic mice had reduced local efficiency in weighted structural connectivity.
“Transgenic mice had significant reductions in degree centrality (aDc) (t13 = 2.21, p = 0.045) (Fig. 4Ab), and local efficiency (aEloc) (t13 = 2.26, p = 0.041) (Fig. 4Ad)”
- Also stated in: § Abstract · plain
“In addition, there was a reduced network efficiency and degree centrality in weighted structural connectivity in the transgenic mice.”
Quote in the paperSubstantial claim - Also stated in: § Abstract · plain
- Findingown data
Transgenic mice displayed disrupted structural connectivity centered to the entorhinal cortex.
“Transgenic mice displayed disrupted structural connectivity centered to the entorhinal cortex (EC) and a lower fiber density and fiber bundle cross-section.”
- Also stated in: § Discussion · plain
“Whole-brain structural connectivity analysis revealed a network disruption centered in the EC; while graph theoretical analysis identified decreased network properties.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
Based on the number of edges, the entorhinal cortex (3 edges) was the biggest module in the disrupted network.
“Based on the number of edges, entorhinal cortex (3 edges) was the biggest module in the disrupted network.”
Quote in the paperNot a substantial claim - Findingown data
We found approximately 100-fold increase in NFL in ArcAb TG mice.
“The authors showed 10-1000-fold higher CSF NFL in these TG mice, whereas, we found approximately 100-fold increase in NFL in ArcAb TG mice.”
Quote in the paperSubstantial claim - Findingown data
NBS analysis revealed brain network deficits in the TG mice compared to WT.
“NBS analysis revealed brain network deficits in the TG mice compared to WT (Fig. 3).”
Quote in the paperSubstantial claim - Findingown data
There was no significant difference in global efficiency between TG and WT mice.
“but not betweenness centrality (aBc) (t13 = 0.55, p = 0.938) (Fig. 4Aa), global efficiency (aEg) (t13 = 2.14, p = 0.127) (Fig. 4Ac)”
Quote in the paperNot a substantial claim - Findingown data
Fixel-based analysis revealed significant reductions of streamline segments in TG mice.
“Fixel-based analysis revealed a significant (FWE corrected p-value £ 0.05) reductions of streamline segments in TG mice.”
Quote in the paperSubstantial claim - Findingown data
When FD and FC were considered together, the FDC metric had a larger difference in the TG mice.
“Interestingly, when FD and FC were considered together, the FDC metric had shown a larger difference in the TG mice.”
Quote in the paperNot a substantial claim - Findingown data
Connection deficits were observed in five brain regions in the right hemisphere: entorhinal cortex, periaqueductal grey, subiculum, mediolateral cortex and secondary visual cortex.
“Connection deficits were observed in five brain regions (or nodes) in the right hemisphere: entorhinal cortex (EC.R), periaqueductal grey (Pag.R); subiculum (Sub.R); mediolateral cortex (V2ml.R) and secondary (V2.R) visual cortex.”
Quote in the paperSubstantial claim - Findingown data
Disrupted connectivity edges were shown in five nodes: Ent.R (entorhinal cortex right), Pag.R (periaqueductal grey right), Sub.R (subiculum right), V2ml.R (mediolateral cortex right), V2l.R (secondary visual cortex right).
“The disrupted connectivity (edges) were shown in five nodes: Ent.R, Entorhinal cortex (right); Pag.R, periaqueductal grey (right); Sub.R, Subiculum (right); V2ml.R, mediolateral cortex (right); V2l.R, secondary visual cortex (right).”
Quote in the paperSubstantial claim - Findingown data
EC-centered connectivity disruption is associated with increased NFL and decreased PNN in ArcAβ TG mice.
“In addition, we provide compelling evidence that EC-centered connectivity disruption associated with increased NFL and decreased PNN.”
Quote in the paperSubstantial claim - Findingown data
The study found no changes in the hippocampus.
“Although we found a structural alteration in the EC, there were no changes in the hippocampus.”
Quote in the paperSubstantial claim - Findingown data
PNN intensity was reduced in all five brain regions in six-month-old ArcAβ TG mice compared to wild-type mice.
“We showed a reduced PNN intensity in all of five brain regions, while PNN count reduced in the EC and V2 region but not in the hippocampus in six months old TG mice.”
- Also stated in: § Conclusion · plain
“Transgenic mice had a reduced PNN intensity in the brain regions that show disrupted connectivity (d).”
Quote in the paperSubstantial claim - Also stated in: § Conclusion · plain
- Findingown data
Transgenic ArcAβ mice display a reduction in fiber bundle cross-section (FC).
“Transgenic mice display a reduction in fiber density (FD) (row A), fiber bundle cross-section (FC) (row B), and fiber density plus fiber bundle cross-section (FDC) (row C).”
Quote in the paperSubstantial claim - Findingown data
At a statistical threshold of t = 3.4, the network shows the highest statistical significance in terms of extent and intensity.
“At a statistical threshold of t = 3.4, this network shows the highest statistical significance in terms of extent and intensity.”
Quote in the paperSubstantial claim - Findingown data
ArcAβ transgenic mice display disruption of structural connectivity centered to the right entorhinal cortex.
“ArcAβ transgenic mice displays a disruption of structural connectivity centered to the right entorhinal cortex.”
Quote in the paperSubstantial claim - Findingnone given
Higher levels of NFL expression demonstrate a possible link with reduced fiber density and fiber bundle cross section.
“Higher levels of NFL expression demonstrate a possible link with reduced fiber density and fiber bundle cross section.”
Quote in the paperSubstantial claim - Findingown data
PNN count was reduced in the entorhinal cortex (EC) and secondary visual cortex (V2) in six-month-old ArcAβ TG mice.
“while PNN count reduced in the EC and V2 region but not in the hippocampus in six months old TG mice.”
- Also stated in: § Conclusion · plain
“In addition, PNN count reduced in the entorhinal cortex (EC), and secondary visual cortex l (V2) (e).”
Quote in the paperSubstantial claim - Also stated in: § Conclusion · plain
- Findingown data
PNN count was not reduced in the hippocampus in six-month-old ArcAβ TG mice.
“while PNN count reduced in the EC and V2 region but not in the hippocampus in six months old TG mice.”
Quote in the paperNot a substantial claim - Findingown data
The study found a structural alteration in the entorhinal cortex (EC).
“Although we found a structural alteration in the EC, there were no changes in the hippocampus.”
Quote in the paperSubstantial claim - Findingown data
The study found no demyelination in the brain regions that show disrupted connectivity in ArcAβ TG mice.
“However, our study reveals no demyelination in the brain regions that show disrupted connectivity.”
Quote in the paperSubstantial claim- Rests on an assumption: MBP is the major constituent of brain myelin and is synthesized by oligodendrocytes and Schwann cells.
- Findingown data
The study provides evidence of fiber tract-specific properties reduction in an Aβ mouse model of amyloidosis.
“However, we, for the first time provided pieces of evidence of fiber tract-specific properties reduction in an Aβ mouse model of amyloidosis.”
Quote in the paperSubstantial claim - Findingown data
Transgenic ArcAβ mice exhibit a decrease in fiber-specific properties.
“Transgenic mice exhibits a decrease in fiber-specific properties.”
Quote in the paperSubstantial claim - Findingown data
Transgenic ArcAβ mice display a reduction in fiber density (FD).
“Transgenic mice display a reduction in fiber density (FD) (row A), fiber bundle cross-section (FC) (row B), and fiber density plus fiber bundle cross-section (FDC) (row C).”
Quote in the paperSubstantial claim - Findingown data
Network-wise comparison shows reduced network topology in ArcAβ transgenic mice.
“Network-wise comparison shows a reduced network topology in ArcAβ transgenic mice.”
Quote in the paperSubstantial claim - Findingown data
Transgenic ArcAβ mice exhibit a decrease in area under the curve (AUC) of degree centrality (aDc) compared to wild-type mice.
“Transgenic mice exhibit a decrease area under the curve (AUC) (A) of degree centrality (aDc) (Ab) and local efficiency (aEloc) (Ad) compared to the wild type mice.”
Quote in the paperSubstantial claim - Findingown data
Transgenic ArcAβ mice exhibit a decrease in area under the curve (AUC) of local efficiency (aEloc) compared to wild-type mice.
“Transgenic mice exhibit a decrease area under the curve (AUC) (A) of degree centrality (aDc) (Ab) and local efficiency (aEloc) (Ad) compared to the wild type mice.”
Quote in the paperSubstantial claim - Findingown data
Whole-brain connectivity analysis revealed network disruption centered at the EC consistent with PNN and NFL.
“Whole-brain connectivity analysis revealed network disruption centered at the EC consistent with PNN and NFL.”
Quote in the paperSubstantial claim - Findingown data
The study reveals EC-centered connectivity deficits in ArcAβ TG mice.
“We reveal EC-centered connectivity deficits in the ArcAβ TG mice.”
Quote in the paperSubstantial claim - Findingown data
Reduced myelin intensity was shown only in the secondary visual cortex (V2) in ArcAβ TG mice.
“However, reduced myelin intensity was shown only in the Secondary visual cortex (V2) (e).”
Quote in the paperSubstantial claim - Findingown data
There was a significant increase in neurofilament light intensity in the entorhinal cortex (EC), hippocampus (Hip), secondary visual cortex (V2), and mediolateral secondary visual cortex (V2ml) in ArcAβ TG mice.
“There was a significant increase in neurofilament light intensity in the entorhinal cortex (EC), hippocampus (Hip), secondary visual cortex (V2), mediolateral Secondary visual cortex (V2ml).”
Quote in the paperSubstantial claim - Premisecitation
ArcAβ mice express the human APP gene with Swedish and arctic mutations.
“ArcAβ mice express the human APP gene, with Swedish (K670 N & M671L) and arctic (E693G) mutations (Knobloch et al., 2007b).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Knobloch et al., 2007b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
In summary, increased NFL levels may be the underlying reason of fiber properties in ArcAb TG mice.
“In summary, increased NFL levels may be the underlying reason of fiber properties in ArcAb TG mice.”
Quote in the paperSubstantial claim - Interpretationreasoning
Disrupted entorhinal connectivity could be the basis of cognitive deficit previously reported in TG mice.
“Overall, disrupted entorhinal connectivity could be the basis of cognitive deficit previously reported in TG mice (Knobloch et al., 2007b).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Knobloch et al., 2007b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
ArcAβ mice show reduced synaptic function between 3.5 to 7.5 months of age.
“ArcAβ mice show a reduced synaptic function in between 3.5 to 7.5-months of age (Knobloch et al., 2007a).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Knobloch et al., 2007a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationcitation
Our results of structural connectivity deficit might be the basis of decreased functional connectivity in the TG mice.
“Collectively, our results of structural connectivity deficit might be the basis of decreased functional connectivity in the TG mice (Grandjean et al., 2016).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Grandjean et al., 2016 source
- Premisecitation
The role of PNN in mouse models of Aβ amyloidosis has been inconsistent and contradictory.
“The role of PNN in mouse model of Aβ amyloidosis have been inconsistent and contradictory.”
Quote in the paperNot a substantial claim - Interpretationown data
A possible explanation of reduced fiber density and fiber bundle cross section may be due to increased levels of NFL we showed in this study.
“A possible explanation of reduced fiber density and fiber bundle cross section may be due to increased levels of NFL we showed in this study.”
Quote in the paperSubstantial claim - Premisecitation
Severe synaptic plasticity impairment in ArcAβ TG mice has been documented.
“a severe synaptic plasticity impairment in ArcAβ TG mice has been documented (Knobloch et al., 2007a).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Knobloch et al., 2007a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
Inadequate PNN may be a possible explanation for disrupted structural connectivity in ArcAβ TG mice.
“We suggest that inadequate PNN may be the possible explanation for disrupted structural connectivity.”
Quote in the paperSubstantial claim - Premisecitation
CSF NFL increased either in parallel or prior to Aβ accumulation in the mouse model of AD.
“CSF NFL increased either in parallel or prior to Ab accumulation in the mouse model of AD (Zetterberg, 2016).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Zetterberg, 2016 source
- Study design and conductcitation
The limitation of the 0.45 mm slice for crossing-fiber calculation was resolved by the application of probabilistic tractography and an optimum diffusion direction (36).
“However, this limitation was resolved by the application of probabilistic tractography and an optimum diffusion direction (36) (Fig 1).”
Quote in the paperSubstantial claim - Interpretationown data
The study indicates an EC-specific vulnerability in ArcAβ TG mice.
“Our study indicates an EC-specific vulnerability in ArcAβ TG mice.”
Quote in the paperSubstantial claim- Rests on an assumption: The entorhinal cortex (EC) and hippocampus are the primary brain regions affected in the early stages of Alzheimer's disease.
- Interpretationreasoning
Disruption of structural connectivity might be a consequence of both increased NFL and reduced PNN intensity in the EC.
“In addition, disruption of structural connectivity might be a consequence of both increased NFL and reduced PNN intesnity in the EC.”
Quote in the paperSubstantial claim - Premisecitation
Bacioglu and colleagues showed increased CSF NFL in P301S-tau, APPPS1 and A53T-aS prior to symptomatic onset.
“Bacioglu and colleauges showed increased CSF NFL in P301S-tau, APPPS1 and A53T-aS prior to symptomatic onset (Bacioglu et al., 2016).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bacioglu et al., 2016 source
- Classified as probably not a substantial claim. 25
- May combine two claims. 17
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAβ plaque deposition and impaired cognitive function begin at 6 months, with vascular Aβ appearing between 9 and 15 months.
“Aβ plaque deposition and impaired cognitive function begins at 6 months (Knobloch et al., 2007b), with vascular Aβ appearing between 9 and 15 months (Merlini et al., 2011).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Knobloch et al., 2007b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Merlini et al., 2011 source
The citation to Merlini et al. is attached to the claim that vascular Aβ appears between 9 and 15 months, not to the preceding claim about plaques and cognition. The Results (Fig. 4) report vascular Aβ deposits already at the early stage, which the Methods define as 6 months old. The deposits were few at that age, but they had appeared before 9 months. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationEC provides output to the subiculum, while receives inputs from the sensory cortex including the visual cortex.
“EC provide output to the subiculum ( O'Mara, 2005), while receives inputs from the sensory cortex including the visual cortex (Kerr et al., 2007).”
Quote in the paperNot a substantial claim1 of 2 sources checkedClassified as probably not a substantial claim. May combine two claims.
PremisecitationEC and hippocampus are two key vulnerable brain regions in AD, becoming affected in the early stages of AD.
“The EC and hippocampus are two key vulnerable brain regions in AD, becoming affected in the early stages of AD (Mak et al., 2017, Hett et al., 2019).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Mak et al., 2017 source
The Results and Discussion report hippocampal atrophy in both AD and MCI, and the Discussion says tau accumulates early in the hippocampus. The Discussion mentions the entorhinal cortex only as connected to hippocampal CA1; it does not say that the entorhinal cortex is affected early in AD. Page numbers are unavailable in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Hett et al., 2019 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSeveral studies describe an association between cognitive impairment and increased CSF and plasma NFL in AD.
“Furthermore, several studies describe association between cognitive impairment and increased CSF (Zetterberg et al., 2016) and plasma NFL (Lin et al., 2018) in AD.”
Quote in the paperNot a substantial claim2 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe brain's extracellular matrix plays a potential role in maintaining connectivity in brain networks.
“Besides the role of myelin and NFL, the brain's extracellular matrix (ECM) plays a potential role in maintaining the connectivity in brain networks (Bikbaev et al., 2015).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Bikbaev et al., 2015 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPNN envelop the soma, stabilizing interneuron activity, regulating synaptic homeostasis and protecting interneurons from oxidative damage.
“This lattice-like structure envelop the soma, stabilizing interneuron activity, regulating synaptic homeostasis (Bosiacki et al., 2019) and protecting interneurons from oxidative damage (Morawski et al., 2004).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Bosiacki et al., 2019 source
The Introduction says PNNs surround cell bodies, occur especially around parvalbumin interneurons, and are important for their activity. Section 6 describes how PNNs control synaptic connections and receptor mobility, supporting a role in synaptic homeostasis. The copy does not specifically say they stabilize interneuron activity. Oxidative protection is attributed to Morawski et al. in the citing sentence, not to this source. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites Morawski et al., 2004 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAβ peptide is cytotoxic to oligodendrocyte cells, acting through sphingomyelinase-ceramide signaling.
“Ab peptide is cytotoxic to oligodendrocyte cells, acting through sphingomyelinase-ceramide signaling (Lee et al., 2004).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Lee et al., 2004 source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationPerineuronal nets (PNN) regulate synaptic plasticity and rewiring of the network of interneurons.
“Importantly, PNN regulate the synaptic plasticity (Kochlamazashvili et al., 2010) and rewiring the network (Pollock et al., 2014) of the interneurons (Wen et al., 2018).”
Quote in the paperSubstantial claim2 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationNeurons with intact PNN never deposit neurofibrillary tangles.
“neurons having intact PNN never deposits neurofibrillary tangles (Morawski et al., 2012)”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Morawski et al., 2012 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPNN has an indirect role over principal neurons via regulating synaptic plasticity and dendritic arborization of the interneuron.
“PNN has an indirect role over principal neurons via regulating synaptic plasticity (Sigal et al., 2019) and dendritic arborization (Stolp et al., 2019) of the interneuron.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Sigal et al., 2019 source
- cites Stolp et al., 2019 source
The Discussion suggests that changes involving perineuronal nets and parvalbumin interneurons may affect pyramidal-neuron function indirectly. But Stolp et al. do not show that perineuronal nets regulate interneuron dendritic arborization; the Results report no significant difference in the dendritic arborization of the cortical neurons examined at P40. The Stolp citation is attached specifically to the arborization part of the citing sentence. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThere is inconsistency in PNN findings in transgenic mouse models of Alzheimer's disease.
“There is some inconsistency on PNN findings in the transgenic mouse model of AD.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Yang et al., 2015 source
The Introduction describes a P301S tau transgenic mouse model, and the Results discuss PNN manipulation, but neither compares PNN findings across Alzheimer's disease mouse models. Searches for inconsistent, conflicting, increased, and decreased PNN findings found no passage addressing the claimed inconsistency. (LLM, conf=0.72)
Experimental — accuracy not yet measured - cites Morawski et al., 2010b
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).
PremisecitationThe vulnerability of entorhinal neurons has been reported in previous studies.
“The vulnerability of the entorhinal neurons has been reported in many previous studies (Adams et al., 2019, Rodriguez et al., 2019, Braak and Del Tredici, 2020).”
Quote in the paperNot a substantial claim2 of 3 sources checkedMay combine two claims.
Findingown dataThere was a main effect of Genotype and ROI but not interaction on total number of PNN cells.
“We further analyzed WFA-labelled PNN cells and found a main effect of Genotype (F 1,167 = 24.89;p < 0.001) and ROI (F 4,167 = 59.14; p < 0.001) but not interaction (F 4,167 = 1.77; p < 0.136) on total number of PNN cells (Fig. 6e).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThere was a significant main effect of Genotype and ROI on MBP intensity, but no significant interaction between Genotype and ROI.
“Further two-way (Genotype x ROI) ANOVA analysis on MBP intensity showed a significant main effect of Genotype (F1,164 = 9.57; p < 0.005) and a significant main effect of ROI (F4,164 = 304.8;p < 0.001).However, there was no significant interaction (F4,162 = 1.91; p = 0.111) between Genotype with ROI (Fig. 5d).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataHere, we observed reduced local and global efficiency and degree centrality.
“Here, we observed reduced local and global efficiency and degree centrality.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataTransgenic mice had lower fiber density and fiber bundle cross-section.
“Transgenic mice displayed disrupted structural connectivity centered to the entorhinal cortex (EC) and a lower fiber density and fiber bundle cross-section.”
- Also stated in: § Discussion · boosted
“Our results of whole-brain fixel-based analysis demonstrated a reduced fiber density and fiber cross-section in the ArcAβ transgenic mice.”
Quote in the paperSubstantial claim- Also stated in: § Discussion · boosted
May combine two claims.
Findingown dataTransgenic ArcAβ mice display a reduction in fiber density plus fiber bundle cross-section (FDC).
“Transgenic mice display a reduction in fiber density (FD) (row A), fiber bundle cross-section (FC) (row B), and fiber density plus fiber bundle cross-section (FDC) (row C).”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThe increase in NFL suggests a breakdown of axonal integrity, which would reduce WM fiber health.
“The increase in NFL suggests a breakdown of axonal integrity, which would reduce WM fiber health.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataSince FDC is reduced in TG mice, both a reduction in axons and a reduction in cross-sectional area are possible.
“Since we show that fiber density plus bundle cross section is reduced in TG mice, both are possible.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Interpretationnone givenDecreased fiber properties indicates a reduction in axons within a particular fiber bundle or a decreased intra-axonal volume of fibers.
“Decreased fiber properties indicates a reduction in axons within a particular fiber bundle or a decreased intra-axonal volume of fibers.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationNFL is a potential biomarker of WM damage.
“Since NFL is a potential biomarker of WM damage (Sjogren et al., 2001), we hypothesized that the levels of NFL would increase in mouse model of Aβ amyloidosis.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Sjogren et al., 2001 source
May combine two claims.
InterpretationreasoningAβ deposition may primarily increase NFL release, damaging PNN in the entorhinal pathway, resulting in disrupted structural connectivity.
“Considering the pivotal role of the EC in AD, Aβ deposition may primarily increase NFL release, damaging PNN in the entorhinal pathway, resulting in disrupted structural connectivity.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningAn alternative explanation is a reduction of the cross-sectional area of a fiber tract, resulting in smaller axonal diameter.
“An alternative explanation is a reduction of the cross-sectional area of a fiber tract, resulting in smaller axonal diameter.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe observed FDC reductions may indicate a decrease in axonal diameter or axon count, which would explain the basis of connectivity deficits and reduced network efficiency in TG mice.
“The observed FDC reductions may indicate a decrease in axonal diameter or axon count which would explain the basis of connectivity deficits and reduced network efficiency in TG mice.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe study was unable to include the MRI brain samples in the histology experiment because those brain samples were exhausted in a previous study.
“This study has some limitations, mainly that we were unable to include the MRI brain samples in our histology experiment, as those brain samples were exhausted in a previous study (Grandjean et al., 2016).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Grandjean et al., 2016 source
Classified as probably not a substantial claim.
PremisecitationPNN prevents Aβ-induced neurotoxicity in cortical neurons.
“PNN prevents Aβ-induced neurotoxicity in cortical neurons (Miyata et al., 2007)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Miyata et al., 2007 source
Classified as probably not a substantial claim.
Study design and conductown dataStreamlines were identified following Family wise error (FWE) correction at p < 0.05.
“The streamlines were found following Family wise error (FWE) correction at p < 0.05 and overlaid on the AMBMC atlas (Ullmann et al., 2014).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe authors showed 10-1000-fold higher CSF NFL in these TG mice.
“The authors showed 10-1000-fold higher CSF NFL in these TG mice, whereas, we found approximately 100-fold increase in NFL in ArcAb TG mice.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Bacioglu et al., 2016 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA study on three different mouse models of neurodegenerative diseases showed increased plasma and CSF NFL with age.
“Study on three different mouse models of neurodegenerative diseases (A53T-aS, P301S-Tau and APP/PS1) showed increased plasma and CSF NFL with age (Bacioglu et al., 2016).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Bacioglu et al., 2016 source
Classified as probably not a substantial claim. May combine two claims.
Study design and conductown dataThe study measured MBP expression but did not measure other myelin proteins such as myelin proteolipid protein (MPP) and myelin oligodendrocyte glycoprotein (MOG).
“We measured the expression of MBP, but did not measure the expression of other myelin proteins, such as myelin proteolipid protein (MPP) and myelin oligodendrocyte glycoprotein (MOG).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationNFL gene deletion increased amyloid plaque load and synaptic pathology in APP/PS1 TG mice.
“Surprisingly, NFL gene deletion increased amyloid plaque load and synaptic pathology in APP/PS1 TG mice (Fernandez-Martos et al., 2015).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Fernandez-Martos et al., 2015 source
Classified as probably not a substantial claim.
InterpretationreasoningThe discrepancies in these findings could be partly because of the heterogeneous vulnerability of PNN to amyloid toxicity in distinct brain regions.
“The discrepancies in these findings could be partly because of the heterogeneous vulnerability of PNN to amyloid toxicity in distinct brain regions, reinforcing the importance of considering specific brain regions in the study of Alzheimer's pathology.”
Quote in the paperSubstantial claim- Rests on an assumption: The entorhinal cortex (EC) and hippocampus are the primary brain regions affected in the early stages of Alzheimer's disease.
Classified as probably not a substantial claim.
PremisecitationNeurons with aggrecan-linked PNN protect against tau pathology.
“neurons with aggrecan-linked PNN protect tau pathology (Morawski et al., 2010a)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Morawski et al., 2010a
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).
PremisecitationReduced PNN expression has been shown in Tg2576 mice.
“Furthermore, reduced PNN expression had recently shown in Tg2576 mice (Cattaud et al., 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Cattaud et al., 2018 source
The paper relies on this without support.
There is a lack of knowledge on whether fiber-specific WM properties are compromised in AD.
“To date, there is a lack of knowledge on whether fiber-specific WM properties are compromised in AD.”
The paper relies on this without support.
It is unclear whether structural connectivity is altered in the mouse model of Aβ amyloidosis.
“In addition, it is less clear whether structural connectivity is altered in the mouse model of Aβ amyloidosis.”
The paper relies on this without support.
None of the previous studies quantified NFL in axons and dendrites.
“However, none of these studies quantified NFL in axons and dendrites.”
The paper relies on this without support.
MBP is the major constituent of brain myelin and is synthesized by oligodendrocytes and Schwann cells.
“MBP is the major constituent of brain myelin and is synthesized by oligodendrocyte and Schwann.”
The paper relies on this without support.
The role of the entorhinal cortex (EC) in connectome deficits in mice has received less attention.
“Although the EC has been widely studied for its critical role in AD, its role in connectome deficits in mice has received less attention.”
The paper relies on this without support.
The entorhinal cortex (EC) and hippocampus are the primary brain regions affected in the early stages of Alzheimer's disease.
“The EC and hippocampus are the primary brain regions that are affected in the early stages of AD.”
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.
No demyelination claim conflicts with reduced myelin intensity
MajorThe discussion says there was no demyelination in regions with disrupted connectivity, but the figure caption reports reduced myelin intensity in V2, a region identified as having disrupted connectivity.
“However, our study reveals no demyelination in the brain regions that show disrupted connectivity.”
“However, reduced myelin intensity was shown only in the Secondary visual cortex (V2) (e).”
A nonsignificant genotype effect is called significant
MinorThe reported p-value of 0.951 contradicts the statement that betweenness centrality has a significant main effect of genotype.
“a main effect of Genotype (F1,14 = 0.003; p = 0.951) on Betweenness centrality”
“There was a significant interaction between Genotype and Threshold (F9,126 = 16.95;p < 0.0001) and a main effect of Genotype (F1,14 = 0.003; p = 0.951) on Betweenness centrality (Fig. 4Ba).”
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MethodInfluentialGRETNA: a graph theoretical network analysis toolbox for imaging connectomics
Wang, J., Wang, X., Xia, M., Liao, X., Evans, A. C., & Yong He, A. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00386 · Cited by 1,429 · cited 2× · see citing works
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MethodAdvanced Normalization Tools (ANTs)
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MethodYankner, B. A., Lu, T., & Loerch, P. (2008) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev.pathmechdis.2.010506.092044 · Cited by 677 · see citing works
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Advanced Normalization Tools: V1.0
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“The concentrations of NFL is increased both in the plasma (Lin et al., 2018) and CSF (Jin et al., 2019, Zetterberg et al., 2016) in AD.”
BackgroundInfluentialBacioglu, M., Maia, L. F., Preische, O., Schelle, J., Apel, A., Kaeser, S. A., Schweighauser, M., Eninger, T., Lambert, M., Pilotto, A., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.05.018 · Cited by 435 · see citing works
Functional neuroanatomy of the parahippocampal region: The lateral and medial entorhinal areas
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“EC provide output to the subiculum (O’Mara, 2005), while receives inputs from the sensory cortex including the visual cortex (Kerr et al., 2007).”
BackgroundAbsolute diffusivities define the landscape of white matter degeneration in Alzheimer’s disease
Acosta-Cabronero, J., Williams, G. B., Pengas, G., & Nestor, P. J. (2010) · Brain · doi:10.1093/brain/awp257 · Cited by 393 · see citing works
Alzheimer's Disease and Mild Cognitive Impairment
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“The connectome is a unique property, consistent across multiple species (van den Heuvel et al., 2016) and thus has important analytical value in translational research.”
BackgroundHarris, J. A., Devidze, N., Verret, L., Ho, K., Halabisky, B., Thwin, M. T., Kim, D., Hamto, P., Lo, I., Yu, G.-Q., et al. (2010) · Neuron · doi:10.1016/j.neuron.2010.10.020 · Cited by 319 · cited 1× · see citing works
“It is possible that EC neurons are more vulnerable to the amyloid deposition compared to the other brain regions (Harris et al., 2010).”
BackgroundFibre-specific white matter reductions in Alzheimer’s disease and mild cognitive impairment
Mito, R., Raffelt, D., Dhollander, T., Vaughan, D. N., Tournier, J.-D., Salvado, O., Brodtmann, A., Rowe, C. C., Villemagne, V. L., & Connelly, A. (2018) · Brain · doi:10.1093/brain/awx355 · Cited by 309 · cited 2× · see citing works
“Nevertheless, reduction in FD, FC and FDC are seen in patients with AD and mild cognitive impairment (Mito et al., 2018).”
BackgroundEyer, J., & Peterson, A. (1994) · Neuron · doi:10.1016/0896-6273(94)90280-1 · Cited by 296 · cited 1× · see citing works
“Neurofilament light (NFL) is the most abundant in the brain and is required for the radical growth of axons during the development (Eyer and Peterson, 1994).”
BackgroundWhite matter damage in Alzheimer disease and its relationship to gray matter atrophy
Agosta, F., Pievani, M., Sala, S., Geroldi, C., Galluzzi, S., Frisoni, G. B., & Filippi, M. (2011) · Radiology · doi:10.1148/radiol.10101284 · Cited by 288 · cited 1× · see citing works
“Functional MRI (fMRI) studies show reduced activity of functional networks and connectivity (Sepulcre et al., 2017, Pereira et al., 2019, Son et al., 2017), while diffusion-weighted MRI (DWI) studies demonstrate impaired WM integrity in AD (Agosta et al., 2011, Acosta-Cabronero et al., 2010).”
BackgroundThe subiculum: what it does, what it might do, and what neuroanatomy has yet to tell us
O'Mara, S. (2005) · Journal of Anatomy · doi:10.1111/j.1469-7580.2005.00446.x · Cited by 285 · see citing works
Lee, J.-T., Xu, J., Lee, J.-M., Ku, G., Han, X., Yang, D.-I., Chen, S., & Hsu, C. Y. (2004) · The Journal of Cell Biology · doi:10.1083/jcb.200307017 · Cited by 280 · see citing works
Desai, M. K., Sudol, K. L., Janelsins, M. C., Mastrangelo, M. A., Frazer, M. E., & Bowers, W. J. (2009) · Glia · doi:10.1002/glia.20734 · Cited by 266 · cited 1× · see citing works
“In fact, reduced myelination (Desai et al., 2010, Desai et al., 2009) and higher NFL release (Menke et al., 2015) may leave neurons susceptible to axonal injury.”
BackgroundIntracellular Aβ and cognitive deficits precede β-amyloid deposition in transgenic arcAβ mice
Knobloch, M., Konietzko, U., Krebs, D. C., & Nitsch, R. M. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.06.019 · Cited by 259 · cited 5× · see citing works
“Aβ plaque deposition and impaired cognitive function begins at 6 months (Knobloch et al., 2007b), with vascular Aβ appearing between 9 and 15 months (Merlini et al., 2011).”
BackgroundInfluentialLin, Y.-S., Lee, W.-J., Wang, S.-J., & Fuh, J.-L. (2018) · Scientific Reports · doi:10.1038/s41598-018-35766-w · Cited by 251 · cited 2× · see citing works
“The concentrations of NFL is increased both in the plasma (Lin et al., 2018) and CSF (Jin et al., 2019, Zetterberg et al., 2016) in AD.”
BackgroundPerineuronal nets potentially protect against oxidative stress
Morawski, M., Brückner, M. K., Riederer, P., Brückner, G., & Arendt, T. (2004) · Experimental Neurology · doi:10.1016/j.expneurol.2004.04.017 · Cited by 246 · cited 1× · see citing works
“This lattice-like structure envelop the soma, stabilizing interneuron activity, regulating synaptic homeostasis (Bosiacki et al., 2019) and protecting interneurons from oxidative damage (Morawski et al., 2004).”
BackgroundDesai, M. K., Mastrangelo, M. A., Ryan, D. A., Sudol, K. L., Narrow, W. C., & Bowers, W. J. (2010) · The American Journal of Pathology · doi:10.2353/ajpath.2010.100087 · Cited by 232 · cited 1× · see citing works
“In fact, reduced myelination (Desai et al., 2010, Desai et al., 2009) and higher NFL release (Menke et al., 2015) may leave neurons susceptible to axonal injury.”
BackgroundMerlini, M., Meyer, E. P., Ulmann-Schuler, A., & Nitsch, R. M. (2011) · Acta Neuropathologica · doi:10.1007/s00401-011-0834-y · Cited by 225 · cited 1× · see citing works
“Aβ plaque deposition and impaired cognitive function begins at 6 months (Knobloch et al., 2007b), with vascular Aβ appearing between 9 and 15 months (Merlini et al., 2011).”
BackgroundColgan, N., Siow, B., O'Callaghan, J. M., Harrison, I. F., Wells, J. A., Holmes, H. E., Ismail, O., Richardson, S., Alexander, D. C., Collins, E. C., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.043 · Cited by 218 · cited 1× · see citing works
“…such as neurite orientation dispersion and density imaging (NODDI), have been used to profile neurite density indexes (NDI) and orientation dispersion indexes (ODI) (Wang et al., 2019) in the mouse models of Aβ amyloidosis (Colon-Perez et al., 2019) and tau pathology (Colgan et al., 2016).”
MethodKochlamazashvili, G., Henneberger, C., Bukalo, O., Dvoretskova, E., Senkov, O., Lievens, P. M.-J., Westenbroek, R., Engel, A. K., Catterall, W. A., Rusakov, D. A., et al. (2010) · Neuron · doi:10.1016/j.neuron.2010.05.030 · Cited by 215 · cited 1× · see citing works
“Importantly, PNN regulate the synaptic plasticity (Kochlamazashvili et al., 2010) and rewiring the network (Pollock et al., 2014) of the interneurons (Wen et al., 2018).”
BackgroundNeurofilament protein in cerebrospinal fluid: A marker of white matter changes
Sjögren, M., Blomberg, M., Jonsson, M., Wahlund, L. ‐., Edman, Å., Lind, K., Rosengren, L., Blennow, K., & Wallin, A. (2001) · Journal of Neuroscience Research · doi:10.1002/jnr.1242 · Cited by 209 · cited 1× · see citing works
“Since NFL is a potential biomarker of WM damage (Sjogren et al., 2001), we hypothesized that the levels of NFL would increase in mouse model of Aβ amyloidosis.”
BackgroundTrojanowski, J. Q., Walkenstein, N., & Lee, V. (1986) · Journal of Neuroscience · doi:10.1523/jneurosci.06-03-00650.1986 · Cited by 208 · cited 1× · see citing works
“WMs consisting of nerve fibers (bundles or axons) enriched with neurofilaments (Trojanowski et al., 1986).”
BackgroundNeurofilament Light: A Dynamic Cross-Disease Fluid Biomarker for Neurodegeneration
Zetterberg, H. (2016) · Neuron · doi:10.1016/j.neuron.2016.06.030 · Cited by 197 · cited 2× · see citing works
“CSF NFL increased either in parallel or prior to Aβ accumulation in the mouse model of AD (Zetterberg, 2016).”
BackgroundBidirectional Relationship between Functional Connectivity and Amyloid-β Deposition in Mouse Brain
Bero, A. W., Bauer, A. Q., Stewart, F. R., White, B. R., Cirrito, J. R., Raichle, M. E., Culver, J. P., & Holtzman, D. M. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.5845-11.2012 · Cited by 181 · cited 1× · see citing works
“…and compromised WM indices have shown in TgF344 rats (Anckaerts et al., 2019), 5XFAD mice (Kesler et al., 2018), APP/PS1 mice (Shah et al., 2013, Bero et al., 2012), ArcAβ mice (Grandjean et al., 2014, Grandjean et al., 2016), aging apoE4 and apoE-KO mice (Zerbi et al., 2014) and PSAPP mice…”
BackgroundDai, Z., & He, Y. (2014) · Neuroscience Bulletin · doi:10.1007/s12264-013-1421-0 · Cited by 173 · cited 1× · see citing works
“Connectomics provide valuable information regarding the efficiency of information processing and topological organization (Dai and He, 2014).”
BackgroundIn Vivo Tau, Amyloid, and Gray Matter Profiles in the Aging Brain
Sepulcre, J., Schultz, A. P., Sabuncu, M. R., Gómez‐Isla, T., Chhatwal, J. P., Becker, A., Sperling, R. A., & Johnson, K. A. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.0639-16.2016 · Cited by 173 · cited 1× · see citing works
“Cerebral amyloid and tau burden is strongly associated with the atrophy of gray matters (GM) (Sepulcre et al., 2016) and hyperintensity of white matters (WM) (Weaver et al., 2019).”
BackgroundThe Perineuronal ‘Safety’ Net? Perineuronal Net Abnormalities in Neurological Disorders
Wen, T. H., Binder, D. K., Ethell, I. M., & Razak, K. A. (2018) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2018.00270 · Cited by 170 · cited 1× · see citing works
“Importantly, PNN regulate the synaptic plasticity (Kochlamazashvili et al., 2010) and rewiring the network (Pollock et al., 2014) of the interneurons (Wen et al., 2018).”
BackgroundNeurofilament light in CSF and serum is a sensitive marker for axonal white matter injury in MS
Bergman, J., Dring, A. M., Zetterberg, H., Blennow, K., Norgren, N., Gilthorpe, J. D., Bergenheim, T. A., & Svenningsson, A. (2016) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000000271 · Cited by 166 · cited 1× · see citing works
“Neurofilament is expressed in the WM tracts (Bergman et al., 2016) and categorized into; light, medium and heavy.”
BackgroundCortical tau deposition follows patterns of entorhinal functional connectivity in aging
Adams, J. N., Maass, A., Harrison, T. M., Baker, S. L., & Jagust, W. J. (2019) · eLife · doi:10.7554/elife.49132 · Cited by 160 · cited 1× · see citing works
“The vulnerability of the entorhinal neurons has been reported in many previous studies (Adams et al., 2019, Rodriguez et al., 2019, Braak and Del Tredici, 2020).”
MethodMorawski, M., Brückner, G., Jäger, C., Seeger, G., Matthews, R. T., & Arendt, T. (2012) · Brain Pathology · doi:10.1111/j.1750-3639.2011.00557.x · Cited by 157 · cited 1× · see citing works
“For instance, neurons having intact PNN never deposits neurofibrillary tangles (Morawski et al., 2012); PNN prevents Aβ-induced neurotoxicity in cortical neurons (Miyata et al., 2007) and neurons with aggrecan-linked PNN protect tau pathology (Morawski et al., 2010a).”
BackgroundMorawski, M., Brückner, G., Jäger, C., Seeger, G., & Arendt, T. (2010) · Neuroscience · doi:10.1016/j.neuroscience.2010.05.022 · Cited by 156 · cited 4× · see citing works
“For example, some studies argued that the degradation of PNN restores memory in P301s tau mice (Yang et al., 2015) and reduces plaque burden in APPswe/PS1dE9 mice while others demonstrated unaltered PNN in Tg2576 mice (Morawski et al., 2010b).”
BackgroundResultInfluentialVégh, M. J., Heldring, C. M., Kamphuis, W., Hijazi, S., Timmerman, A. J., Li, K. W., van Nierop, P., Mansvelder, H. D., Hol, E. M., Smit, A. B., et al. (2014) · Acta Neuropathologica Communications · doi:10.1186/s40478-014-0076-z · Cited by 156 · cited 1× · see citing works
“For instance, one study showed an unaltered PNN expression in Tg2576 mice (Morawski et al., 2010b), while others suggest that the reduction of the ECM ameliorates memory impairment in APP/PS1 mice (Vegh et al., 2014) and the degradation of PNN restores memory in TgP301s mice (Yang et al., 2015).”
BackgroundIn vivo axonal transport rates decrease in a mouse model of Alzheimer's disease
Smith, K. D. B., Kallhoff, V., Zheng, H., & Pautler, R. G. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.01.046 · Cited by 150 · cited 1× · see citing works
“Axonal swelling, degeneration (Wirths et al., 2007) and transport deficits (Smith et al., 2007) are shown in mouse models Aβ amyloidosis (Aβ APP/PS1ki).”
BackgroundCSF neurofilament light chain reflects corticospinal tract degeneration in ALS
Menke, R., Gray, E., Lu, C., Kühle, J., Talbot, K., Malaspina, A., & Turner, M. R. (2015) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.212 · Cited by 141 · cited 2× · see citing works
“Besides myelin, the level of neurofilament in cerebrospinal fluid (CSF) and plasma associates with axonal injury (Menke et al., 2015).”
BackgroundPerineuronal net digestion with chondroitinase restores memory in mice with tau pathology
Yang, S., Cacquevel, M., Saksida, L. M., Bussey, T. J., Schneider, B. L., Aebischer, P., Melani, R., Pizzorusso, T., Fawcett, J. W., & Spillantini, M. G. (2015) · Experimental Neurology · doi:10.1016/j.expneurol.2014.11.013 · Cited by 138 · cited 2× · see citing works
“For example, some studies argued that the degradation of PNN restores memory in P301s tau mice (Yang et al., 2015) and reduces plaque burden in APPswe/PS1dE9 mice while others demonstrated unaltered PNN in Tg2576 mice (Morawski et al., 2010b).”
BackgroundResultRobust Automatic Rodent Brain Extraction Using 3-D Pulse-Coupled Neural Networks (PCNN)
Chou, N., Wu, J., Bingren, J. B., Qiu, A., & Chuang, K. (2011) · IEEE Transactions on Image Processing · doi:10.1109/tip.2011.2126587 · Cited by 138 · cited 1× · see citing works
“1c), created a DWI mask (Chou et al., 2011) before calculating fixel orientation distribution (FOD) (Fig.”
MethodCorrigendum: GRETNA: a graph theoretical network analysis toolbox for imaging connectomics
Wang, J., Wang, X., Xia, M., et al. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00458 · Cited by 129 · see citing works
Age-dependent axonal degeneration in an Alzheimer mouse model
Wirths, O., Weis, J., Kayed, R., Saido, T. C., & Bayer, T. A. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.07.021 · Cited by 127 · cited 1× · see citing works
“Axonal swelling, degeneration (Wirths et al., 2007) and transport deficits (Smith et al., 2007) are shown in mouse models Aβ amyloidosis (Aβ APP/PS1ki).”
BackgroundSyková, E., Voříšek, I., Antonova, T., Mazel, T., Meyer-Luehmann, M., Jucker, M., Hájek, M., Or, M., & Bureš, J. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0408235102 · Cited by 121 · cited 1× · see citing works
“Amyloid deposition damages the ECM scaffold (Ajmo et al., 2010, Sykova et al., 2005).”
BackgroundSigal, Y. M., Bae, H., Bogart, L. J., Hensch, T. K., & Zhuang, X. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1817222116 · Cited by 118 · cited 1× · see citing works
“PNN has an indirect role over principal neurons via regulating synaptic plasticity (Sigal et al., 2019) and dendritic arborization (Stolp et al., 2019) of the interneuron.”
BackgroundKnobloch, M., Farinelli, M., Konietzko, U., Nitsch, R. M., & Mansuy, I. M. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.0395-07.2007 · Cited by 117 · cited 5× · see citing works
“Aβ plaque deposition and impaired cognitive function begins at 6 months (Knobloch et al., 2007b), with vascular Aβ appearing between 9 and 15 months (Merlini et al., 2011).”
BackgroundInfluentialBacioglu, M., Maia, L. F., Preische, O., Schelle, J., Apel, A., Kaeser, S. A., Schweighauser, M., Eninger, T., Lambert, M., Pilotto, A., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.07.007 · Cited by 108 · see citing works
Perineuronal Nets and Their Role in Synaptic Homeostasis
Bosiacki, M., Gąssowska-Dobrowolska, M., Kojder, K., Fabiańska, M., Jeżewski, D., Gutowska, I., & Lubkowska, A. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20174108 · Cited by 107 · cited 1× · see citing works
“This lattice-like structure envelop the soma, stabilizing interneuron activity, regulating synaptic homeostasis (Bosiacki et al., 2019) and protecting interneurons from oxidative damage (Morawski et al., 2004).”
BackgroundTau and amyloid β proteins distinctively associate to functional network changes in the aging brain
Sepulcre, J., Sabuncu, M. R., Li, Q., Fakhri, G. E., Sperling, R. A., & Johnson, K. A. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.02.011 · Cited by 106 · cited 1× · see citing works
“Functional MRI (fMRI) studies show reduced activity of functional networks and connectivity (Sepulcre et al., 2017, Pereira et al., 2019, Son et al., 2017), while diffusion-weighted MRI (DWI) studies demonstrate impaired WM integrity in AD (Agosta et al., 2011, Acosta-Cabronero et al., 2010).”
BackgroundJin, M., Cao, L., & Dai, Y. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00254 · Cited by 105 · cited 8× · see citing works
“The concentrations of NFL is increased both in the plasma (Lin et al., 2018) and CSF (Jin et al., 2019, Zetterberg et al., 2016) in AD.”
BackgroundInfluentialPerineuronal nets protect against amyloid β-protein neurotoxicity in cultured cortical neurons
Miyata, S., Nishimura, Y., & Nakashima, T. (2007) · Brain Research · doi:10.1016/j.brainres.2007.02.066 · Cited by 101 · cited 2× · see citing works
“For instance, neurons having intact PNN never deposits neurofibrillary tangles (Morawski et al., 2012); PNN prevents Aβ-induced neurotoxicity in cortical neurons (Miyata et al., 2007) and neurons with aggrecan-linked PNN protect tau pathology (Morawski et al., 2010a).”
BackgroundPereira, J. B., Ossenkoppele, R., Palmqvist, S., Strandberg, T. O., Smith, R. A., Westman, E., & Hansson, O. (2019) · eLife · doi:10.7554/elife.50830 · Cited by 91 · see citing works
Brain extracellular matrix retains connectivity in neuronal networks
Bikbaev, A., Frischknecht, R., & Heine, M. (2015) · Scientific Reports · doi:10.1038/srep14527 · Cited by 88 · cited 3× · see citing works
“Besides the role of myelin and NFL, the brain’s extracellular matrix (ECM) plays a potential role in maintaining the connectivity in brain networks (Bikbaev et al., 2015).”
BackgroundInfluentialCattaud, V., Bezzina, C., Rey, C. C., Lejards, C., Dahan, L., & Verret, L. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.08.024 · Cited by 88 · cited 1× · see citing works
“Furthermore, reduced PNN expression had recently shown in Tg2576 mice (Cattaud et al., 2018).”
BackgroundStolp, H. B., Fleiss, B., Arai, Y., Supramaniam, V., Vontell, R., Birtles, S., Yates, A. G., Baburamani, A. A., Thornton, C., Rutherford, M., et al. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.00955 · Cited by 85 · cited 1× · see citing works
“PNN has an indirect role over principal neurons via regulating synaptic plasticity (Sigal et al., 2019) and dendritic arborization (Stolp et al., 2019) of the interneuron.”
BackgroundVégh, M. J., Heldring, C. M., Kamphuis, W., Hijazi, S., Timmerman, A. J., Li, K. W., van Nierop, P., Mansvelder, H. D., Hol, E. M., Smit, A. B., et al. (2014) · Acta Neuropathologica Communications · doi:10.1186/preaccept-1259006781131998 · Cited by 83 · see citing works
Resting State fMRI Reveals Diminished Functional Connectivity in a Mouse Model of Amyloidosis
Shah, D., Jonckers, E., Praet, J., Vanhoutte, G., Delgado y Palacios, R., Bigot, C., D’Souza, D. V., Verhoye, M., & Van der Linden, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0084241 · Cited by 82 · cited 1× · see citing works
“…functional network and compromised WM indices have shown in TgF344 rats (Anckaerts et al., 2019), 5XFAD mice (Kesler et al., 2018), APP/PS1 mice (Shah et al., 2013, Bero et al., 2012), ArcAβ mice (Grandjean et al., 2014, Grandjean et al., 2016), aging apoE4 and apoE-KO mice (Zerbi et al., 2014)…”
BackgroundResting-State Functional Connectivity Changes in Aging apoE4 and apoE-KO Mice
Zerbi, V., Wiesmann, M., Emmerzaal, T. L., Jansen, D., Beek, M. V., Mutsaers, M. P. C., Beckmann, C. F., Heerschap, A., & Kiliaan, A. J. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0684-14.2014 · Cited by 80 · cited 1× · see citing works
“…2019), 5XFAD mice (Kesler et al., 2018), APP/PS1 mice (Shah et al., 2013, Bero et al., 2012), ArcAβ mice (Grandjean et al., 2014, Grandjean et al., 2016), aging apoE4 and apoE-KO mice (Zerbi et al., 2014) and PSAPP mice (Grandjean et al., 2016), although not in E22AΔβ mice (Grandjean et al., 2016).”
BackgroundRodriguez, G. A., Barrett, G., Duff, K., & Hussaini, S. A. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3000851 · Cited by 76 · see citing works
Metalloproteinase inhibition prevents inhibitory synapse reorganization and seizure genesis
Pollock, E., Everest, M., Brown, A., & Poulter, M. O. (2014) · Neurobiology of Disease · doi:10.1016/j.nbd.2014.06.003 · Cited by 75 · cited 1× · see citing works
“Importantly, PNN regulate the synaptic plasticity (Kochlamazashvili et al., 2010) and rewiring the network (Pollock et al., 2014) of the interneurons (Wen et al., 2018).”
BackgroundWeaver, N. A., Doeven, T., Barkhof, F., Biesbroek, J. M., Groeneveld, O. N., Kuijf, H. J., Prins, N. D., Scheltens, P., Teunissen, C. E., van der Flier, W. M., et al. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.08.001 · Cited by 71 · cited 1× · see citing works
“Cerebral amyloid and tau burden is strongly associated with the atrophy of gray matters (GM) (Sepulcre et al., 2016) and hyperintensity of white matters (WM) (Weaver et al., 2019).”
BackgroundGrandjean, J., Schroeter, A., He, P., Tanadini, M., Keist, R., Krstic, D., Konietzko, U., Klohs, J., Nitsch, R. M., & Rudin, M. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.4762-13.2014 · Cited by 70 · 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 · cited 2× · see citing works
“…such as neurite orientation dispersion and density imaging (NODDI), have been used to profile neurite density indexes (NDI) and orientation dispersion indexes (ODI) (Wang et al., 2019) in the mouse models of Aβ amyloidosis (Colon-Perez et al., 2019) and tau pathology (Colgan et al., 2016).”
MethodMak, E., Gabel, S., Su, L., Williams, G. B., Arnold, R., Passamonti, L., Vazquez Rodríguez, P., Surendranathan, A., Bevan-Jones, W. R., Rowe, J. B., et al. (2017) · International Psychogeriatrics · doi:10.1017/s1041610216002143 · Cited by 66 · cited 1× · see citing works
“The EC and hippocampus are two key vulnerable brain regions in AD, becoming affected in the early stages of AD (Mak et al., 2017, Hett et al., 2019).”
BackgroundNeurofilament relates to white matter microstructure in older adults
Moore, E. E., Hohman, T. J., Badami, F. S., Pechman, K. R., Osborn, K. E., Acosta, L. M. Y., Bell, S. P., Babicz, M. A., Gifford, K. A., Anderson, A. W., et al. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.06.023 · Cited by 65 · see citing works
Anckaerts, C., Blockx, I., Summer, P., Michael, J., Hamaide, J., Kreutzer, C., Boutin, H., Couillard‐Després, S., Verhoye, M., & der Linden, A. V. (2018) · Neurobiology of Disease · doi:10.1016/j.nbd.2018.11.010 · Cited by 62 · cited 1× · see citing works
“These includes an altered resting-state functional network and compromised WM indices have shown in TgF344 rats (Anckaerts et al., 2019), 5XFAD mice (Kesler et al., 2018), APP/PS1 mice (Shah et al., 2013, Bero et al., 2012), ArcAβ mice (Grandjean et al., 2014, Grandjean et al., 2016), aging apoE4…”
BackgroundStability of graph theoretical measures in structural brain networks in Alzheimer’s disease
Mårtensson, G., Pereira, J. B., Mecocci, P., Vellas, B., Tsolaki, M., Kłoszewska, I., Soininen, H., Lovestone, S., Simmons, A., Volpe, G., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-29927-0 · Cited by 60 · cited 1× · see citing works
“A decreased local (Zhou and Lui, 2013) and global (Martensson et al., 2018) efficiency is a common characteristic of patients with AD.”
BackgroundPrediction of Alzheimer's disease using individual structural connectivity networks
Shao, J., Myers, N. E., Yang, Q., Feng, J., Plant, C., Böhm, C., Förstl, H., Kurz, A., Zimmer, C., Meng, C., et al. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.01.017 · Cited by 59 · cited 1× · see citing works
“As WM lesions contribute to the progression of AD (Shao et al., 2012) and lead to impaired structural connectivity (Vogel et al., 2019) in humans, we aimed to assess structural connectivity in the ArcAβ mice.”
BackgroundSpread of pathological tau proteins through communicating neurons in human Alzheimer’s diseasePreprint
Vogel, J. W., Iturria‐Medina, Y., Strandberg, O. T., Smith, R. A., Evans, A. C., Hansson, O., & for the Alzheimer’s Disease Neuroimaging Initiative, A. T. S. B. S. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/555821 · Cited by 59 · see citing works
Cerebrospinal fluid β-amyloid42 and neurofilament light relate to white matter hyperintensities
Osborn, K. E., Liu, D., Samuels, L. R., Moore, E. E., Cambronero, F. E., Acosta, L. M. Y., Bell, S. P., Babicz, M. A., Gordon, E. A., Pechman, K. R., et al. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.03.028 · Cited by 51 · cited 1× · see citing works
“Existing evidence from human studies strongly support the relationship between raised NFL levels and WM microstructure damage (Moore et al., 2018, Osborn et al., 2018).”
BackgroundAltered structural connectome in adolescent socially isolated mice
Liu, C., Li, Y., Edwards, T. J. C., Kurniawan, N. D., Richards, L. J., & Jiang, T. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.06.037 · Cited by 50 · see citing works
Perineuronal nets are largely unaffected in Alzheimer model Tg2576 mice
Morawski, M., Pavlica, S., Seeger, G., Grosche, J., Kouznetsova, E., Schliebs, R., Brückner, G., & Arendt, T. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.07.023 · Cited by 49 · see citing works
Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification
Hett, K., Ta, V.-T., Catheline, G., Tourdias, T., Manjón, J. V., Coupé, P., Initiative, A. D. N., Weiner, M. W., Aisen, P., Petersen, R., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-49970-9 · Cited by 49 · cited 1× · see citing works
“The EC and hippocampus are two key vulnerable brain regions in AD, becoming affected in the early stages of AD (Mak et al., 2017, Hett et al., 2019).”
BackgroundGrandjean, J., Derungs, R., Kulic, L., Welt, T., Henkelman, M., Nitsch, R. M., & Rudin, M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.042 · Cited by 48 · cited 6× · see citing works
“…(Anckaerts et al., 2019), 5XFAD mice (Kesler et al., 2018), APP/PS1 mice (Shah et al., 2013, Bero et al., 2012), ArcAβ mice (Grandjean et al., 2014, Grandjean et al., 2016), aging apoE4 and apoE-KO mice (Zerbi et al., 2014) and PSAPP mice (Grandjean et al., 2016), although not in E22AΔβ mice…”
BackgroundMethodResultInfluentialSelf-citationZhou, Y., & Lui, Y. W. (2013) · ISRN Geriatrics · doi:10.1155/2013/542080 · Cited by 44 · cited 1× · see citing works
“A decreased local (Zhou and Lui, 2013) and global (Martensson et al., 2018) efficiency is a common characteristic of patients with AD.”
BackgroundAjmo, J. M., Bailey, L. A., Howell, M. D., Cortez, L. K., Pennypacker, K. R., Mehta, H. N., Morgan, D., Gordon, M. N., & Gottschall, P. E. (2010) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2010.06647.x · Cited by 41 · cited 1× · see citing works
“Amyloid deposition damages the ECM scaffold (Ajmo et al., 2010, Sykova et al., 2005).”
BackgroundColon-Perez, L. M., Ibanez, K. R., Suarez, M., Torroella, K., Acuna, K., Ofori, E., Levites, Y., Vaillancourt, D. E., Golde, T. E., Chakrabarty, P., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116138 · Cited by 41 · cited 1× · see citing works
“…such as neurite orientation dispersion and density imaging (NODDI), have been used to profile neurite density indexes (NDI) and orientation dispersion indexes (ODI) (Wang et al., 2019) in the mouse models of Aβ amyloidosis (Colon-Perez et al., 2019) and tau pathology (Colgan et al., 2016).”
MethodBraak, H., & Del Tredici, K. (2020) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlz123 · Cited by 40 · see citing works
Epicentral Disruption of Structural Connectivity in Alzheimer's Disease
Mallio, C. A., Schmidt, R., de Reus, M. A., Vernieri, F., Quintiliani, L., Curcio, G., Beomonte Zobel, B., Quattrocchi, C. C., & van den Heuvel, M. P. (2015) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.12397 · Cited by 39 · cited 1× · see citing works
“Disrupted structural connectivity in the EC is also a feature of AD (Mallio et al., 2015).”
BackgroundFernandez-Martos, C. M., King, A. E., Atkinson, R. A. K., Woodhouse, A., & Vickers, J. C. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.07.003 · Cited by 38 · cited 2× · see citing works
“Surprisingly, NFL gene deletion increased amyloid plaque load and synaptic pathology in APP/PS1 TG mice (Fernandez-Martos et al., 2015).”
BackgroundKesler, S. R., Acton, P., Rao, V., & Ray, W. J. (2018) · Network Neuroscience · doi:10.1162/netn_a_00048 · Cited by 34 · cited 2× · see citing works
“These includes an altered resting-state functional network and compromised WM indices have shown in TgF344 rats (Anckaerts et al., 2019), 5XFAD mice (Kesler et al., 2018), APP/PS1 mice (Shah et al., 2013, Bero et al., 2012), ArcAβ mice (Grandjean et al., 2014, Grandjean et al., 2016), aging apoE4…”
BackgroundSon, S.-J., Kim, J., & Park, H. (2017) · PLoS ONE · doi:10.1371/journal.pone.0173426 · Cited by 30 · see citing works
Self-citationAl-Amin, M. M., Sullivan, R., Kurniawan, N. D., & Burne, T. H. J. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01840-w · Cited by 27 · cited 2× · see citing works
“We performed 5000 permutations from a threshold range between 2.5 to 3.5 (Al-Amin et al., 2019, Al-Amin, 2019) using two different contrasts WT > TG and TG > WT. Network properties analysis The network sparsity was calculated based on 76 × 76 matrix (from 76 ROI).”
MethodInfluentialSelf-citationSanta‐María, I., Ávila, J., & Rábano, A. (2009) · Neuroscience Letters · doi:10.1016/j.neulet.2009.11.002 · Cited by 18 · cited 1× · see citing works
“Differential gene expression in the EC is a possible explanation for PNN degradation (Santa-Maria et al., 2010).”
BackgroundDiverging Progression of Network Disruption and Atrophy in Alzheimer’s Disease and Semantic Dementia
Andreotti, J., Dierks, T., Wahlund, L., & Grieder, M. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160571 · Cited by 16 · see citing works
Alternation of neurofilaments in immune-mediated injury of spinal cord motor neurons
Liu, Y., Guo, Y.-S., Xu, L., et al. (2008) · Spinal Cord · doi:10.1038/sc.2008.90 · Cited by 14 · see citing works
Attenuation of entorhinal cortex hyperactivity reduces Aβ and tau pathologyPreprint
Rodriguez, G. A., Barrett, G. M., Duff, K., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/487405 · Cited by 3 · see citing works
Ullmann, J. F. P., WATSON, C. R. R., Janke, A. L., et al. (2014) · Frontiers in Neuroinformatics · doi:10.3389/conf.fninf.2014.08.00035 · Cited by 1 · cited 1× · see citing works
“The streamlines were found following Family wise error (FWE) correction at p 0.05 and overlaid on the AMBMC atlas (Ullmann et al., 2014).”
MethodInfluentialDoes adult vitamin D deficiency alter cognition and hippocampal function?
Al-Amin, M. M. (2019) · The University of Queensland · doi:10.14264/uql.2019.703 · Cited by 1 · cited 1× · see citing works
“We performed 5000 permutations from a threshold range between 2.5 to 3.5 (Al-Amin et al., 2019, Al-Amin, 2019) using two different contrasts WT > TG and TG > WT. Network properties analysis The network sparsity was calculated based on 76 × 76 matrix (from 76 ROI).”
MethodInfluentialSelf-citationShah, D., Jonckers, E., Praet, J., Vanhoutte, G., y Palacios, R. D., Bigot, C., D’Souza, D. V., Verhoye, M., & der Linden, A. V. (2014) · PLoS ONE · doi:10.1371/annotation/5bfdca66-ef38-403a-a370-9c273d878e4a · Cited by 1 · see citing works
Desai, M. K., Sudol, K. L., Janelsins, M. C., Mastrangelo, M. A., Frazer, M. E., & Bowers, W. J. (2008) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2008.05.1975
Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification
Hett, K., Ta, V.-T., Catheline, G., et al. (2018) · doi:10.1101/293126
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Fixel-based Analysis of Diffusion MRI: Methods, Applications, Challenges and Opportunities
Dhollander, T., Clemente, A., Singh, M., Boonstra, F. M. C., Civier, O., Duque, J. D., Egorova, N., Enticott, P. G., Fuelscher, I. T., Gajamange, S. I., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118417 · Cited by 280 · see citing works
White matter structural bases for phase accuracy during tapping synchronization
García-Saldivar, P., de León, C., Salcido, F. A. M., Concha, L., & Merchant, H. (2024) · eLife · doi:10.7554/elife.83838 · Cited by 5 · see citing works
- Authors
- Al-Amin, M. M., Grandjean, J., Klohs, J., & Kim, J.
- Affiliations
- Indiana University School of Medicine
- Radboud University Medical Center (NL)
- University of Zurich (CH)
- Corresponding author
- Kim, Jungsu
- Venue
- bioRxiv (Cold Spring Harbor Laboratory)
- Publisher
- openRxiv
- Published
- 2020-04-28
- OpenAlex
- W3021782801
- Semantic Scholar
- 34ccb7c77067705a85d7600db2426d6175f4d953
- Cited by
- 2
- References
- 94
- Citations by year
- 2024: 1 · 2021: 1
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- Funders
- National Institutes of Health (R01AG053500, R01AG053242, R21AG050804)
- National Institute on Aging (R01AG054102)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- amyloid-beta, Alzheimer's disease, white matter microstructure, structural connectivity, entorhinal cortex, fiber density, perineuronal nets, neurofilament light chain, axonal integrity, network efficiency, fixel-based analysis, myelination
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 2026-10-17.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-17.
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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