The DOI matches its Crossref record; 65 of the 66 references it cites were found in a registry or an index; 12 of the 36 sources its claims cite were checked for support.
The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains
Open accessAbstract
Diffusion tensor imaging (DTI) is used extensively in neuroscience to noninvasively estimate white matter (WM) microarchitecture. However, the diffusion signal is inherently ambiguous because it infers WM structure from the orientation of water diffusion and cannot identify the biological sources of diffusion changes. To compare inferred WM estimates to directly labeled axonal elements, we performed a novel within-subjects combination of high-resolution ex vivo DTI with two-photon laser microscopy of intact mouse brains rendered optically transparent by Clear Lipid-exchanged, Anatomically Rigid, Imaging/immunostaining compatible, Tissue hYdrogel (CLARITY). We found that myelin basic protein (MBP) immunofluorescence significantly correlated with fractional anisotropy (FA), especially in WM regions with coherent fiber orientations and low fiber dispersion. Our results provide evidence that FA is particularly sensitive to myelination in WM regions with these characteristics. Furthermore, we found that radial diffusivity (RD) was only sensitive to myelination in a subset of WM tracts, suggesting that the association of RD with myelin should be used cautiously. This combined DTI-CLARITY approach illustrates, for the first time, a framework for using brain-wide immunolabeling of WM targets to elucidate the relationship between the diffusion signal and its biological underpinnings. This study also demonstrates the feasibility of a within-subject combination of noninvasive neuroimaging and tissue clearing techniques that has broader implications for neuroscience research.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
Combining ex vivo DTI with CLARITY whole-brain myelin basic protein (MBP) immunofluorescence in the same mouse brains, the authors found that FA correlates with MBP, especially in coherent, highly myelinated white matter regions. RD correlated with MBP only in a subset of tracts, indicating that RD–myelin associations should be interpreted cautiously.
Key findings
- CLARITY MBP-labeled ROI volumes showed excellent structural correspondence with DTI ROIs (Spearman’s ρ=0.876, P<0.00001).
- Across all WM ROIs, FA significantly correlated with MBP immunofluorescence (Χ²(1)=7.74, P<0.01), whereas AD (Χ²(1)=0.27, P=0.61) and RD (Χ²(1)=0.05, P=0.83) did not.
- In a WM subset including corpus callosum, fimbria, and anterior commissure, MBP positively correlated with FA (Χ²(1)=12.56, P<0.0005) and negatively with RD (Χ²(1)=10.54, P<0.005); in remaining tracts, FA still correlated with MBP (Χ²(1)=10.62, P<0.005) but RD did not (P=0.37).
- Within the stria medullaris, FA–MBP correlation was significant in high-FA ROIs >0.5 (ρ=0.666, P<0.00001, n=44 regions) but not in low-FA ROIs (P=0.118); high-FA regions had higher linear anisotropy (Cl=0.51±0.021) than diverging-fascicle regions (Cl=0.35±0.024).
Methods
- Within-subjects design combining ex vivo DTI at 11.7 T with CLARITY/PACT tissue clearing and two-photon microscopy of MBP immunofluorescence in intact mouse brains.
- Main experiments used four male C57BL/6 J mice, 3–6 months old; three male thy1-eYFP-H mice were used for initial pilot compatibility testing.
- DTI used a 3D DW-GRASE sequence, 15 directions, b=1500 s/mm², 100 μm isotropic resolution, ~16.5 h scan time; 14 discrete 3D WM ROIs were traced in DTI and CLARITY spaces, and mixed-effect models tested DTI metrics as predictors of MBP with ROI as fixed effect and subject as random effect.
Limitations
- The paper states that incomplete antibody penetration or uneven labeling may leave some myelinated areas uncaptured; fixation and the liquid hydrogel may affect diffusivity in ways that cannot be fully ruled out; and MBP immunofluorescence quantification in fixed tissue must be interpreted cautiously, with electron microscopy needed for further validation.
- The paper also notes that the FA–myelin relationship is complex and cannot be resolved by this correlational approach alone, and that MBP expression does not necessarily index myelin sheath thickness or the percentage of myelinated axons.
- Evident from the text: the main sample is small (four mice), imaging is ex vivo at 28 °C, and even at 100 μm resolution each voxel may contain 1,000–13,000 axons, over 80 oligodendrocytes, and more than 20 astrocytes, limiting biological specificity.
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Claims the paper makes
27 Own result · 12 Own interpretation · 10 No full text of the sources · 6 Partly supported · 4 Own method · 3 Supported · 1 Supported so far · 1 Couldn’t confirm · 1 Sources not found · 1 Not checked yet · 1 No basis given · accuracy not yet measured
Every source the paper cites for this claim was checked and supports it.
In the paper
“This demonstrated that CLARITY could be successfully performed despite the presence of a contrast agent in the hydrogel and minor deviations from the original published protocol (Chung et al., 2013).”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 3. Results > 3.1. CLARITY polymerization and tissue clearing are normal following ex vivo DTI
What the sources say
- Supportedcites Chung et al., 2013 source
The citation identifies the original CLARITY protocol against which the citing authors describe their modifications. The source’s Methods (“Basic CLARITY protocol”; page unavailable) provides that protocol. The contrast-agent result is the citing authors’ own conclusion, not a finding attributed to Chung et al. (LLM, conf=0.86)
boostedn = 3- Asserted: passes — The authors put it forward as true.
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- Based: passes — The paper gives a reason why it holds.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“When coupled with two-photon or light-sheet laser microscopy, whole mouse brains can be imaged entirely intact with sub-cellular resolution (Tomer et al., 2014).”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 1. Introduction
What the sources say
- Partly supportedcites Tomer et al., 2014 sourceExperimental — accuracy not yet measured
The Overview of procedure and Anticipated Results (page unavailable) report high-resolution imaging through an intact mouse brain and whole-brain imaging with CLARITY-optimized light-sheet microscopy. The paper does not demonstrate whole-brain imaging with two-photon microscopy or establish sub-cellular resolution throughout the whole brain. (LLM, conf=0.86)
plaindirect- Asserted: passes — The authors put it forward as true.
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- Partly supported
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In the paper
“This has led to considerable debate, since the inception of DTI, over the biological significance of these DTI-derived measures since WM integrity can be affected by many different parameters including axon packing density, axon caliber, myelination, microglia, inflammation, and tissue architecture (Mori and Zhang, 2006; Le Bihan and Johansen-Berg, 2012; Jones et al., 2013).”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 1. Introduction
What the sources say
- Not checked — no full text of the sourcecites Mori and Zhang, 2006 source
- Partly supportedcites Le Bihan and Johansen-Berg, 2012 sourceExperimental — accuracy not yet measured
The section on diffusion anisotropy in white matter links the measure to fiber packing, membrane organization, myelin, and tissue orientation; the section on brain development also discusses axon density and diameter. The cited paper supports the broader point that DTI measures have multiple biological influences, but our copy does not identify microglia or inflammation as influences on white-matter integrity or these measures (searched: “microglia” and “inflammation”). No page numbers were provided for these passages. (LLM, conf=0.88)
- Not checked — no full text of the sourcecites Jones et al., 2013 source
plaindirect- Asserted: passes — The authors put it forward as true.
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Every source the paper cites for this claim was checked and supports it.
In the paper
“It has been estimated that up to 90% of WM voxels in a DTI map contain complex fiber architecture and cannot be modeled accurately using a single tensor model (Jeurissen et al., 2013).”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 3. Results > 3.5. Within-tract analysis of stria medullaris and corpus callosum
What the sources say
- Supportedcites Jeurissen et al., 2013 source
The Discussion reports multiple fiber orientations in approximately 90% of white-matter voxels using CSD. The Introduction states that the diffusion tensor model is inadequate in voxels containing multiple fiber orientations. The 90% estimate comes from CSD analysis of diffusion data, rather than detection by DTI itself. (LLM, conf=0.92)
hedged- Asserted: passes — The authors put it forward as true.
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- Supported
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Moving from macroscopic to microscopic scales further highlights the discrepancy between the principal eigenvectors and the physical fiber bundles that are actually present at those locations in the brain (Fig. 5A and B).”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 3. Results > 3.5. Within-tract analysis of stria medullaris and corpus callosum
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“and that MBP expression within these structures significantly correlated with DTI-derived FA measures.”
- Also stated in: § 3.3. CLARITY MBP correlates with DTI-derived FA measures · plain
“we found, using a mixed effect model, that FA significantly correlated with MBP immunofluorescence across the full set of ROIs (Fig. 3C; Χ2(1)=7.74, P<0.01).”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 1. Introduction
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: MBP immunofluorescence intensity is linearly proportional to myelin density across WM regions.
- Rests on an assumption: The CLARITY clearing and immunolabeling procedures do not differentially affect MBP detection across different WM regions.
- Rests on an assumption: The ex vivo DTI scanning and CLARITY hydrogel perfusion do not alter the relationship between MBP and DTI metrics.
- Also stated in: § 3.3. CLARITY MBP correlates with DTI-derived FA measures · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Geometric anisotropy indices estimated that the body of the corpus collosum contained more crossing or mixing fiber architecture as reflected by its lower linear anisotropy (Cl=0.36 ± 0.030) and higher planar anisotropy (Cp=0.29 ± 0.031), compared to the genu and splenium (genu: Cl=0.53 ± 0.033, Cp=0.17 ±0.019; splenium, Cl=0.48±0.049, Cp=0.19 ±0.011).”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 3. Results > 3.5. Within-tract analysis of stria medullaris and corpus callosum
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: MBP immunofluorescence intensity is linearly proportional to myelin density across WM regions.
- Rests on an assumption: The CLARITY clearing and immunolabeling procedures do not differentially affect MBP detection across different WM regions.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“we have demonstrated that FA measures significantly correlate with a direct label of axon myelination.”
- Also stated in: § 5. Conclusions · plain
“By using MBP as a proxy for myelination, we showed that it correlated with DTI-derived FA across intact WM structures, particularly in coherent and highly organized fiber regions.”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 4. Discussion
boostedcorrelational- Asserted: passes — The authors put it forward as true.
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- Based: passes — The paper gives a reason why it holds.
- Also stated in: § 5. Conclusions · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“There was a highly significant positive correlation between the volume of CLARITY MBP-labeled structures and volumes for these same ROIs in DTI (Fig. 3B; Spearman's correlation, ρ=0.876, P < 0.00001)”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 3. Results > 3.3. CLARITY MBP correlates with DTI-derived FA measures
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This study also demonstrates the feasibility of a within-subject combination of noninvasive neuroimaging and tissue clearing techniques that has broader implications for neuroscience research.”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > Abstract
boosted- Asserted: passes — The authors put it forward as true.
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- It may state two separate claims as one. 19
- Probably not a substantial claim. 9
Every source the paper cites for this claim was checked and supports it.
In the paper
“CLARITY achieves tissue transparency to enable deep laser penetration in normally highly light-scattering mouse brains, while preserving proteins in situ and the native 3D structure of brain tissue.”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 1. Introduction
What the sources say
- Supportedcites Chung et al., 2013 source
The Whole adult mouse brain imaging section reports that CLARITY makes the intact mouse brain transparent, permits deep optical imaging, and retains fine structural details without net tissue deformation; page numbers are unavailable in our copy. The Molecular phenotyping section reports only about 8% protein loss after clearing, supporting preservation of proteins in place. (LLM, conf=0.93)
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Clear Lipid-exchanged, Anatomically Rigid, Imaging/immunostaining compatible, Tissue hYdrogel (CLARITY; Chung et al., 2013) is a clearing technique that transforms intact brain tissue into nanoporous, lipid-free, hydrogel-tissue hydrids that are optically transparent but macromolecule permeable.”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 1. Introduction
What the sources say
- Partly supportedcites Chung et al., 2013 sourceExperimental — accuracy not yet measured
The Abstract describes CLARITY as transforming intact tissue into a nanoporous, optically transparent, macromolecule-permeable hydrogel hybrid; the ‘Hydrogel-electrophoretic tissue transmutation’ section describes lipid extraction. However, the citing sentence expands the acronym differently from the paper’s Methods > CLARITY section, which specifies ‘Acrylamide-hybridized Rigid’ rather than ‘Anatomically Rigid.’ (LLM, conf=0.84)
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“However, even at this 100 μm resolution and ∼17 h scan times, each imaging voxel can contain anywhere from 1,000 to 13,000 axons, over 80 oligodendrocytes, and more than 20 astrocytes (Walhovd et al., 2014).”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 4. Discussion
What the sources say
- Partly supportedcites Walhovd et al., 2014 sourceExperimental — accuracy not yet measured
In “Toward a multiscale understanding: From a myelin biology point of view, what does a voxel contain?” (page unavailable), the paper reports 1,000 to over 13,000 axons and averages of 86 oligodendrocytes and 22 astrocytes in a 100 μm-cubed volume of rodent white matter. These support the cited counts, though the glial figures are averages rather than counts guaranteed for each voxel. The passages found do not substantiate the ∼17-hour scan time. (LLM, conf=0.86)
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
- Partly supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Lastly, we have used MBP immunofluorescence as a marker of myelination, however, multiple variables can influence the quantitation of fluorophores in fixed tissue samples (Straight, 2007; Waters, 2009) and this interpretation must be considered cautiously.”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 4. Discussion
What the sources say
- Not checked — no full text of the sourcecites Straight, 2007 source
- Supportedcites Waters, 2009 source
The Specimen preparation section cautions that fixation can alter detectable epitopes and that antibody penetration may vary across tissue, so fluorescence intensity may not reflect epitope quantity. This supports the cited caution about quantifying MBP immunofluorescence; the paper is not being cited to establish MBP as a marker of myelination. (LLM, conf=0.92)
plainconditional- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“we used an ultra high field 11.7 T scanner with a 3D DW-GRASE sequence that minimized distortion while allowing for a 12-fold acceleration compared to spin echo imaging (Aggarwal et al., 2010).”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 4. Discussion
What the sources say
- Partly supportedcites Aggarwal et al., 2010 sourceExperimental — accuracy not yet measured
Materials and Methods (DTI acquisition and Pulse sequence details; page unavailable) describe an 11.7 T instrument and a 3D DW-GRASE sequence. The Results (Comparison of GRASE and spin echo DTI; page unavailable) report no discernible geometric distortion relative to multiple spin echo imaging, but a threefold—not 12-fold—reduction in scan time. (LLM, conf=0.93)
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“While temperature and fixation affect diffusivity values, and ADC in fixed tissue is significantly lower than in vivo (Richardson et al., 2014), anisotropy values are comparable between in vivo and ex vivo samples (Sun et al., 2001, 2003; Zhang et al., 2012).”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 4. Discussion
What the sources say
- Partly supportedcites Richardson et al., 2014 sourceExperimental — accuracy not yet measured
The Introduction states that temperature differences greatly affect measured diffusion coefficients, and DTI (Experiment A) reports lower axial diffusivity in fixed than viable isolated tissue. But the study compares fixed tissue with viable isolated tissue, not directly with in vivo samples, and the cited passages do not establish a significantly lower overall ADC. The anisotropy clause is attributed to other sources and is not part of this verdict. (LLM, conf=0.84)
- Not matchedcites Sun et al., 2001, 2003
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Partly supportedcites Zhang et al., 2012 sourceExperimental — accuracy not yet measured
The Discussions report no significant difference between in vivo and ex vivo fractional anisotropy in the normal mouse corpus callosum. But they also report significantly different values in the demyelinated corpus callosum, so the unqualified claim that anisotropy is comparable across samples overextends the finding. (LLM, conf=0.88)
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
The cited sources that could be checked couldn’t confirm or dispute this claim.
In the paper
“First, while it appears that we have labeled the major myelinated WM tracts of the mouse brain, there may be areas that are not fully captured due to incomplete antibody penetration or uneven labeling, which have been reported by other groups using intact brain approaches (Epp et al., 2015; Li et al., 2015).”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 4. Discussion
What the sources say
- Could not verifycites Epp et al., 2015 sourceExperimental — accuracy not yet measured
The citing authors’ statement about which tracts they labeled is their own; the point attributed to Epp et al. is the reported risk of incomplete antibody penetration or uneven labeling in intact-brain approaches. The Materials and Methods section describes antibody incubation, but neither it nor the passages found by searching for penetration and uneven labeling report that problem (page unavailable). (LLM, conf=0.72)
- Not matchedcites Li et al., 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Could not verify
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In contrast, regions where clearly diverging fascicles could be observed in the CLARITY sample had lower linear anisotropy (Cl=0.35 ± 0.024) and also lower FA-MBP correlations (ρ=0.185, P=0.388, n=24 regions).”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 3. Results > 3.5. Within-tract analysis of stria medullaris and corpus callosum
plaincorrelationaln = 24- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: MBP immunofluorescence intensity is linearly proportional to myelin density across WM regions.
- Rests on an assumption: The CLARITY clearing and immunolabeling procedures do not differentially affect MBP detection across different WM regions.
- Rests on an assumption: The ex vivo DTI scanning and CLARITY hydrogel perfusion do not alter the relationship between MBP and DTI metrics.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Specifically, mean MBP in the genu and splenium were both higher than in the body”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 3. Results > 3.5. Within-tract analysis of stria medullaris and corpus callosum
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: MBP immunofluorescence intensity is linearly proportional to myelin density across WM regions.
- Rests on an assumption: The CLARITY clearing and immunolabeling procedures do not differentially affect MBP detection across different WM regions.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“we found that there were significant positive correlations for the genu (P < 0.0005) and splenium (P < 0.0005), but not for the body (P=0.138; Fig. 5D).”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 3. Results > 3.5. Within-tract analysis of stria medullaris and corpus callosum
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: MBP immunofluorescence intensity is linearly proportional to myelin density across WM regions.
- Rests on an assumption: The CLARITY clearing and immunolabeling procedures do not differentially affect MBP detection across different WM regions.
In the paper
“The stria medullaris is a WM tract within the thalamus that carries axons from the septum to the habenula (Watson et al., 2012).”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 3. Results > 3.5. Within-tract analysis of stria medullaris and corpus callosum
What the sources say
- Not checked — no full text of the sourcecites Watson et al., 2012 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“This was unexpected for the scalar metric RD, which is considered to be sensitive to the degree of myelination and thus was expected to provide a significant negative correlation (Song et al., 2002; Sun et al., 2006a, 2006b).”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 3. Results > 3.3. CLARITY MBP correlates with DTI-derived FA measures
What the sources say
- Not checked — no full text of the sourcecites Song et al., 2002 source
- Not matchedcites Sun et al., 2006a, 2006b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“Diffusion tensor imaging (DTI) is the most commonly employed diffusion model and utilizes the magnitude and orientation of anisotropic water diffusion to estimate the WM structure of brain tissue, thereby producing maps of macroscopic axonal organization in the brain (Basser and Pierpaoli, 1996; Le Bihan et al., 2001; Mori and Zhang, 2006).”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 1. Introduction
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“Diffusion-weighted MRI is the only noninvasive method available for mapping fiber architecture of tissue in vivo (Le Bihan et al., 1986; Basser et al., 1994)”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 1. Introduction
What the sources say
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Common sources of noise for in vivo neuroimaging include head motion, cardiac pulses, and arousal, which we have excluded by imaging ex vivo.”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 4. Discussion
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“we chose to label MBP as a putative biological index for myelination because it is the predominant protein within CNS myelin, representing as much as 30% of the protein in myelin (Baumann and Pham-Dinh, 2001) and is essential to myelin formation (Boggs, 2006).”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 4. Discussion
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“Indeed, diffusion anisotropy is present even when compact myelin is completely absent, although it is significantly reduced (Roach et al., 1985; Watanabe et al., 2010).”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 4. Discussion
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Compared to the other WM ROIs, this subset tended to have larger volumes, which may minimize a potential partial volume effect that may have confounded the RD-MBP association in smaller WM tracts.”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 4. Discussion
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Additionally, some of the RD-myelination association evidence is based on studies involving myelin damage to the mouse optic nerve (Song et al., 2003, 2006), which may differ from WM tracts within brain tissue.”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 4. Discussion
What the sources say
- Not matchedcites Song et al., 2003, 2006
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Not matched
In the paper
“The association of RD to myelination has been previously studied in some of these same WM structures, such as the corpus collosum and anterior commissure (Song et al., 2002), however, many other WM structures analyzed here have not been examined previously.”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 4. Discussion
What the sources say
- Not checked — no full text of the sourcecites Song et al., 2002 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Another point of consideration is that the liquid hydrogel may have changed diffusivity during DTI in some unpredictable way. While we have not seen evidence for uneven labeling or altered diffusivity in our samples, we cannot rule these out as possibilities.”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 4. Discussion
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The relationship between FA and myelin is complex and cannot be resolved using this correlational approach alone.”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 4. Discussion
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Also, the percentage of myelinated axons and myelin sheath thickness are not necessarily indexed by MBP expression (Shine et al., 1992).”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 4. Discussion
What the sources say
- Not checked — no full text of the sourcecites Shine et al., 1992 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper relies on this without support.
MBP immunofluorescence intensity is linearly proportional to myelin density across WM regions.
“MBP fluorescence intensity values ranged from 0–4095 and mean intensity values within ROIs were used for comparisons.”
The paper relies on this without support.
The CLARITY clearing and immunolabeling procedures do not differentially affect MBP detection across different WM regions.
“We performed the CLARITY procedure as previously described (Chung et al., 2013; Tomer et al., 2014; Yang et al., 2014) with custom modifications in order to maximize antibody penetration and minimize tissue expansion .”
The paper relies on this without support.
The ex vivo DTI scanning and CLARITY hydrogel perfusion do not alter the relationship between MBP and DTI metrics.
“In order to test the feasibility of CLARITY following DTI, we first tested three thy1-eYFP-H mice that underwent ∼18 h of ex vivo DTI in a high-field scanner.”
The paper relies on this without support.
Additional factors such as fiber architecture, axonal diameter, glial cells, and inflammation also contribute to diffusion anisotropy.
“However, additional factors such as fiber architecture, axonal diameter, glial cells, and inflammation also contribute to diffusion anisotropy.”
The paper relies on this without support.
The spatial resolution of diffusion MRI is low, typically on the order of 1–2 mm in the human brain in vivo, while myelinated axons are characterized on a micron scale.
“The spatial resolution of diffusion MRI is low, typically on the order of 1–2 mm in the human brain in vivo, while myelinated axons are characterized on a micron scale.”
The paper relies on this without support.
Diffusion anisotropy carries microscopic anatomical information, but this information is averaged over the large volume of an imaging voxel.
“While diffusion anisotropy does carry microscopic anatomical information, this information is averaged over the large volume of an imaging voxel.”
The paper relies on this without support.
None of the prior studies utilized a 3D-IHC approach for making comparisons to diffusion measures.
“None of the prior studies utilized a 3D-IHC approach for making comparisons to diffusion measures.”
The paper relies on this without support.
DTI remains a powerful method for noninvasively estimating WM structure in the brain with high sensitivity, but low specificity.
“Nonetheless, DTI remains a powerful method for noninvasively estimating WM structure in the brain with high sensitivity, but low specificity.”
The paper relies on this without support.
WM in the brain has a very complex structure that cannot be accurately estimated using a single diffusion tensor model, such as DTI.
“WM in the brain has a very complex structure that cannot be accurately estimated using a single diffusion tensor model, such as DTI.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Studies have reported that FA from the DTI model was higher in more organized axonal bundles and showed its association with myelin basic protein (MBP).51”
From A spatial imaging-transcriptomics paradigm for deciphering the molecular basis of microscopic MRI in the normal brain and Alzheimer’s disease (2025) · cites this paper as [51]
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- Consistentχ²(1) = 7.74reported p < .01 · recomputed p = .005
“Χ2(1)=7.74, p < .01”
- Consistentχ²(1) = 0.27reported p = .61 · recomputed p = .603
“Χ2(1)=0.27, p = .61”
- Consistentχ²(1) = 0.05reported p = .83 · recomputed p = .823
“Χ2(1)=0.05, p = .83”
- Consistentχ²(1) = 12.56reported p < .0005 · recomputed p < .001
“Χ2(1)=12.56, p < .0005”
- Consistentχ²(1) = 10.54reported p < .005 · recomputed p = .001
“Χ2(1)=10.54, p < .005”
- Consistentχ²(1) = 10.62reported p < .005 · recomputed p = .001
“Χ2(1)=10.62, p < .005”
- Consistentχ²(1) = 0.804reported p = .37 · recomputed p = .370
“Χ2(1)=0.804, p = .37”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > 4. Discussion
“3DISCO (Ertürk et al., 2012)”
§ The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains > References
“Ertürk A Becker K Jährling N Mauch CP Hojer CD Egen JG 1983 Three-dimensional imaging of solvent-cleared organs using 3DISCO”
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Sorted by citations
Items 101–186 of 186
Reduced myelin contributes to cognitive impairment in patients with monogenic small vessel disease
Denecke, J., Dewenter, A., Lee, J., Franzmeier, N., Valentim, C., Kopczak, A., Dichgans, M., Pirpamer, L., Gesierich, B. G., Duering, M., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70127 · Cited by 13
“28,103 This is also suggested by a recent meta-analysis, in which myelin water fraction and magnetization transfer ratio correlated better with post mortem myelin staining, compared to RD. 104 In our study, χ negative was not associated with RD, suggesting that they reflect different tissue changes.”
Oligodendroglial Heterogeneity in Neuropsychiatric Disease
Bøstrand, S. M. K., & Williams, A. (2021) · Life · doi:10.3390/life11020125 · Cited by 11
“Across a number of these disorders, macroscopic changes to WM have been observed in patients using MRI techniques such as DTI [8,9,12] to obtain measures such as fractional anisotropy, which reflects the directionality of diffusing water molecules and has been shown to correlate strongly with myelination [13], as well…”
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 16
Heart-Brain axis: is microvascular dysfunction the link between stroke and Takotsubo syndrome?
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Tissue Optical Clearing: State of the Art and Prospects
Genina, E. A. (2022) · Diagnostics · doi:10.3390/diagnostics12071534 · Cited by 12
“An approach combining CLARITY with double-photon microscopy was proposed for the visualization of gray matter in the intact brain [27].”
MethodHofmann, S., Goltermann, O., Scherf, N., Müller, K., Loeffler, M., Villringer, A., Gaebler, M., Witte, A. V., & Beyer, F. (2025) · Imaging Neuroscience · doi:10.1162/imag_a_00497 · Cited by 9
“This is consistent with findings showing that T1w signal intensity is influenced by microstructural properties like myelin content, which are closely related to FA through their shared sensitivity to tissue integrity and anisotropy ( Chang et al., 2017; Koenig, 1991).”
The role of brain white matter in depression resilience and response to sleep interventions
Bresser, T., Leerssen, J., Hölsken, S., Groote, I. R., Foster‐Dingley, J. C., van den Heuvel, M. P., & Someren, E. J. W. V. (2023) · Brain Communications · doi:10.1093/braincomms/fcad210 · Cited by 8
“tive to detect microstructural changes in WM to some extent.(19) However, DTI proxy measures alone are insufficient to draw conclusions about biological changes that drive the measured changes or differences in WM diffusion.”
Dotterer, H. L., Waller, R. E., Shaw, D. S., Plass, J., Brang, D., Forbes, E. E., & Hyde, L. W. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101836 · Cited by 11
“The MRI component introduced several sources of data loss (Supplemental Table 1) resulting in 185 men with available DTI data.”
BackgroundMethodInfluentialKrolewski, D. M., Kumar, V., Martin, B., Tomer, R., Deisseroth, K. A., Myers, R., Schatzberg, A. F., Lee, F. S., Barchas, J. D., Bunney, W. E., et al. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1583-z · Cited by 9
“01875% bis-acrylamide was also effectively used to detect myelin basic protein (Chang et al. 2017).”
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“Fractional anisotropy, which measures the degree of diffusion anisotropy, is the most frequently used metric of DTI to assess the degree of axonal myelination, nerve fiber arrangements, and white matter tract integrity [6, 8].”
BackgroundMethodAcculturation in Context and Brain Health in Older Latino Adults: A Diffusion Tensor Imaging Study
Fleischman, D. A., Arfanakis, K., Zhang, S., Leurgans, S. E., Barnes, L. L., Bennett, D. A., Márquez, D. X., & Lamar, M. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-230491 · Cited by 8
White matter pathways as both a target and mediator of health behaviors
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Differential tractography: an imaging marker for tissue degeneration in neurodegenerative diseases
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“Consistent with the postprocessing procedures for ex vivo rat brains, MWF was determined using rNNLS algorithm [25, 32].”
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Abnormal white matter structure in hoarding disorder
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Altered White-matter Tract Property in Adults with Attention-deficit Hyperactivity Disorder
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“This measure of connection strength is thought to reflect underlying microstructural properties of WM such as myelination or axonal density (Chang et al., 2017; Gulani et al., 2001; Paus, 2010; Takahashi et al., 2002).”
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“These metrics have been used previously to characterize WM alterations and could yield additional insights (Chang et al., 2017).”
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“12 Damage to white matter (WM) causes an increase in mean diffusivity and a decrease in FA due to a loss of directional diffusion.”
BackgroundTreg Upregulation by Treadmill Training Accelerates Myelin Repair Post-Ischemia
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“Ischemia results in damage to white matter, particularly in the external capsule (EC), corpus callosum (CC) and striatum (Ma, Bo et al. 2016, Chang, Argyelan et al. 2017), disrupting the nerve fiber connections between the brain’s hemispheres and resulting in various functional disorders (Zhang, Ji…”
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“XPCT offers many advantages over other intact-brain approaches such as electron microscopy (23, 24), brain clearing (5), small angle X-ray scattering (SAXS) CT (6, 25) or dark field CT (26).”
BackgroundOrtuğ, A., Reyes, N. L., Galor, A., Valdés-Arias, D., Karakoleva, E. V., Talbert, C., Pondelis, N. J., Pattany, P. M., Felix, E. R., Holmes, S. A., et al. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121309 · Cited by 3
Dynamic structural connectivity changes in cortical and cortico-striatal strokes in mice
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Determining the Brainstem’s Role in Loss of Independent Joint Control in Chronic Stroke
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Use of Hydrogels in Brain Applications
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“Figure 4: (A) A 3D rendering of a human brain from MRI data processed for FRESH printing.”
MethodInfluentialMolina, I. S. M., Salo, R. A., Gröhn, O. H. J., Tohka, J., & Sierra, A. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.944432 · Cited by 2
“Histological stainings and quantitative analyses are known to provide morphological information on the cellular components and their changes occurring during pathological conditions (Herrera et al., 2008; Augustinack et al., 2010; Concha et al., 2010; Flint et al., 2010; Chang et al., 2017).”
BackgroundWhite matter microstructural abnormalities in individuals with attenuated positive symptom syndromes
Chen, Z., Bo, Q., Zhao, L., Wang, Y., Zhang, Z., Zhou, Y., & Wang, C. (2023) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2023.05.050 · Cited by 2
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“Currently, dMRI is the optimal noninvasive method for detecting in vivo changes in white matter fiber tracts 13,39 .”
MethodCurrent challenges and opportunities for tractography
Rheault, F., Poulin, P., Caron, A. V., St‐Onge, E., Schilling, K. G., Petit, L., Dell’Acqua, F., Leemans, A., & Descoteaux, M. (2025) · Elsevier eBooks · doi:10.1016/b978-0-12-818894-1.00037-9 · Cited by 2
Comparative Sensitivity of MRI Indices for Myelin Assessment in Spinal Cord Regions
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“Testing these indices in a quadrupedal model like the deer is particularly insightful, as it reflects evolutionary adaptations in myelin’s structure relevant to motor and sensory function in quadrupeds, which are also functionally represented in human spinal structures.”
InfluentialAntisocial personality disorder:Failure to balance excitation/inhibition?
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“Diffusion tensor imaging (DTI) is used to noninvasively evaluate white matter microarchitecture and is sensitive to myelination states (Chang et al., 2017).”
Sutkus, L. T., Sommer, K. M., Li, Z., Sutton, B. P., Donovan, S. M., & Dilger, R. N. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1484497 · Cited by 2
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“Animal and human in vitro studies indicate that changes in Dax mainly reflect axonal injury whereas changes in Drad are representative of myelin damage The latter appears to increase Drad and reduce FA, and FA seems to primarily reflect Drad rather than Dax [62–64].”
BackgroundMarino, S., Pambianco, F., Pepa, G. M. D., et al. (2025) · Neurological Sciences · doi:10.1007/s10072-025-08019-8 · Cited by 1
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“32 However, FA is not specific to any particular source of change, 33 and some authors urge caution against over-interpreting the anisotropy results.”
Martinez, J. D., Mooshagian, E., Wang, H., Karlsgodt, K. H., Uddin, L. Q., & Nomi, J. S. (2026) · Brain Structure and Function · doi:10.1007/s00429-026-03091-y · Cited by 1
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Gong, T., Tong, Q., He, H., Li, Z., & Zhong, J. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1905.13075 · Cited by 1
“By acquiring an adequate number of DWIs at different directions or strengths, diffusion models can be built to derive diffusion measures reflecting local microstructural tissue properties [Alexander et al., 2017a; Chang et al., 2017].”
BackgroundQuantitative MRI and histopathology detect remyelination in inactive multiple sclerosis lesionsPreprint
Wiggermann, V., Endmayr, V., Hernández‐Torres, E., Höftberger, R., Kasprian, G. J., Hametner, S., & Rauscher, A. (2022) · medRxiv · doi:10.1101/2022.08.01.22271457 · Cited by 1
“Although other MRI techniques may 524 have advantages over traditional MWI acquisitions, including 525 potentially faster acquisition times (6), higher spatial reso- 526 lution (46), improved signal-to-noise ratio and lower specific 527 absorption rates, they are also known to be influenced by 528 axonal water (12), m…”
BackgroundMascaro, A. L. A., Conti, E., Lai, S., Giovanna, A. P. D., Spalletti, C., Alia, C., Quarta, E., Panarese, A., Sacconi, L., Micera, S., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/141697
“…like light sheet microscopy (Keller & Dodt, 2012; L Silvestri, Bria, Sacconi, Iannello, & Pavone, 2012) or diffusion magnetic resonance imaging (Chang et al., 2017) of axonal projections directed to and emerging from perilesional neurons will permit answering many questions related to the…”
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Self-citationSex-dependent impact of parental verbal abuse on brain lateralization of language
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“…recorded and used to calculate the lateralization index (LI) using the following formulas (L ´ opez-Barroso et al. The NS indicates variations in fiber bundle volume, while FA provides insight into the density of white matter and the extent of myelination (Chang et al., 2017; Jones et al., 2013).”
Macroscopic brain region and network changes in a central-arterial-stiffness rat model
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“The fractional anisotropy (FA), which values vary between zero and one, is one of the most used parameters to characterize white matter lesions (Chang et al., 2017; Wilde et al., 2015).”
BackgroundDifferential tractography suggests a “left-to-whole” white matter degeneration pattern in aging
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“…WM changes; the study highlighted that Fractional Anisotropy (FA) - a marker of axonal integrity influenced by factors such as myelination, axonal diameter, and fiber density (Chang et al., 2017) - tends to decrease throughout the brain during physiological aging (Grieve et al., 2007).”
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Functional and structural brain adaptations to changing and uncertain environments in humans
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“In white matter, the most plausible substrate underlying these patterns is myelin remodeling 25 .”
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“…incorporation of diffusion-weighted imaging into clinical practice, several advanced models, including diffusion tensor imaging (DTI) and diffusion spectrum imaging (DSI), have emerged for evaluating diffusion metrics (Chang et al., 2017; Hu et al., 2023; Wan et al., 2022 ; Yeh et al., 2011, 2017).”
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“Optical methods such as polarized light microscopy [28] and SCoRe imaging [17, 29] provide complementary perspectives but are constrained by resolution, orientation dependence, and processing demands [30–32].”
Kropf, J., Zapparoli, B., Tseng, J., Finn, A. S., Wheeler, A. L., Dlamini, N., & Mabbott, D. (2026) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2026.101751
“These cellular processes lead to MRI-detectable brain microstructure (Genc et al., 2025) and white matter tract changes (Chang et al., 2017).”
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“Brain sections from the CC were immunostained for MBP 53–55 .”
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“White matter pathways support communication between distributed brain regions and undergo substantial maturation throughout childhood and adolescence, including increased myelination and fiber organization (Chang et al., 2017).”
Novén, M., Lundbye‐Jensen, J., Lundell, H., Siebner, H. R., & Karabanov, A. N. (2026) · European Journal of Neuroscience · doi:10.1111/ejn.70619
“FA is thus positively associated with axonal myelination, nerve fiber alignment and degree of orientation, while MD is related to cell density (as it reduces freely moving extracellular water), cellular swelling, and less myelin (Beaulieu 2014; Brabec et al. 2023; Chang et al. 2017).”
LeFevre, J. D., Vyas, Y., Sathe, A., Shashikumar, N., Pechman, K. R., Yang, Y., Durant, A., Kanakaraj, P., Kim, M. E., Gao, C., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71698
“…FW, suggesting increased extracellular fluid (possibly due to neurodegeneration or inflammation 35 ); decreased FA FWcorr , sug-gestingdecreasedfibercoherence 36 ;decreasedAxD FWcorr ,suggesting increased axonal degeneration 37,38 ; and increased RD FWcorr , suggest-inggreaterdemyelination.”
Metadata
- Authors
- Chang, E. H., Argyelan, M., Aggarwal, M., Chandon, T.-S. S., Karlsgodt, K. H., Mori, S., & Malhotra, A. K.
- Affiliations
- Northwell Health (US)
- Johns Hopkins University (US)
- Kennedy Krieger Institute (US)
- Corresponding author
- Chang, Eric H.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2017-02
- Volume
- 147
- Pages
- 253-261
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC5560594
- OpenAlex
- W2563000655
- Semantic Scholar
- aa30e8c1e8b1d8d5eeafb64fca929a49ee935650
- Cited by
- 186
- References
- 66
- Citations by year
- 2026: 16 · 2025: 27 · 2024: 13 · 2023: 14 · 2022: 17 · 2021: 27 · 2020: 19 · 2019: 17 · 2018: 21 · 2017: 13
- FWCI
- 13.66
- Type
- journal article
- Language
- en
- Open access
- green
- escholarship.org
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- PubMed Central (submittedVersion)
- Funders
- Center for Intervention Development and Applied Research (P50MH080173)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- myelination, white matter integrity, diffusion tensor imaging, myelin basic protein, fractional anisotropy, radial diffusivity, fiber dispersion, mouse brain, ex vivo brain imaging
- MeSH terms
- Animals, Fluorescent Antibody Technique, Male, Mice, Inbred C57BL, Myelin Sheath, Anisotropy, Microscopy, Fluorescence, Multiphoton, Mice, Diffusion Tensor Imaging, White Matter
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