Effects of Alzheimer’s and Vascular Pathologies on Structural Connectivity in Early- and Late-Onset Alzheimer’s Disease
Open accessAbstract
Early- and late-onset Alzheimer’s disease (AD) patients often exhibit distinct features. We sought to compare overall white matter connectivity and evaluate the pathological factors (amyloid, tau, and vascular pathologies) that affect the disruption of connectivity in these two groups. A total of 50 early- and 38 late-onset AD patients, as well as age-matched cognitively normal participants, were enrolled and underwent diffusion-weighted magnetic resonance imaging to construct fractional anisotropy-weighted white matter connectivity maps. [ 18 F]-THK5351 PET, [ 18 F]-Flutemetamol PET, and magnetic resonance imaging were used for the evaluation of tau and related astrogliosis, amyloid, and small vessel disease markers (lacunes and white matter hyperintensities). Cluster-based statistics was performed for connectivity comparisons and correlation analysis between connectivity disruption and the pathological markers. Both patient groups exhibited significantly disrupted connectivity compared to their control counterparts with distinct patterns. Only THK retention was related to connectivity disruption in early-onset AD patients, and this disruption showed correlations with most cognitive scores, while late-onset AD patients had disrupted connectivity correlated with amyloid deposition, white matter hyperintensities, and lacunes in which only a few cognitive scores showed associations. These findings suggest that the pathogenesis of connectivity disruption and its effects on cognition are distinct between EOAD and LOAD.
AI snapshot
Written from the paper’s full text.
TL;DR
In early-onset Alzheimer’s disease (EOAD), white matter structural connectivity disruption was linked mainly to tau/astrogliosis (THK retention), whereas in late-onset AD (LOAD) it was linked to amyloid and small vessel disease markers. These distinct pathology–connectivity relationships also differed in how strongly they tracked cognitive impairment.
Key findings
- Both AD groups had significantly disrupted connectivity versus age-matched controls, with distinct patterns: EOAD showed 68 significantly lower-weight edges (p = 0.0162), with 50.0% of subnetwork edges linked to the parietal lobe; LOAD showed 59 disrupted edges (p = 0.0176), with 66.1% related to the frontal lobe.
- In EOAD, only THK retention correlated with connectivity disruption: global THK yielded 2 clusters, largest 4 edges (p = 0.0070), and regional THK yielded 2 clusters, largest 9 edges (p = 0.0004); representative regions included bilateral precuneus and parietal/occipital/temporal areas. Amyloid, lacunes, and WMH showed no significant relationship in EOAD.
- In LOAD, THK retention showed no significant correlation; instead, global FLUTE retention (1 cluster, 9 edges, p = 0.0288), WMH volume (1 cluster, 7 edges, p = 0.0302), and lacunes (1 cluster, 10 edges, p = 0.0354) correlated with disruption, commonly involving the left middle occipital gyrus.
- THK-related disruption in EOAD was associated with most cognitive scores except some memory tests; in LOAD, fewer associations appeared, including MMSE (r = 0.4693, FDR-corrected p = 0.0233), CDR SOB (r = −0.4618, FDR-corrected p = 0.0233), and digit span backward (r = 0.4803, FDR-corrected p = 0.0233).
Methods
- Cross-sectional study: 93 clinically diagnosed AD patients and 66 cognitively normal (CN) subjects recruited; after exclusions, 88 AD patients and 65 CN subjects were assessed, including 50 EOAD and 38 LOAD patients with age-matched controls.
- Diffusion-weighted MRI was used to construct fractional anisotropy-weighted white matter structural networks with 39 cortical AAL regions per hemisphere; [18F]-THK5351 PET, [18F]-Flutemetamol PET, and MRI assessed tau/astrogliosis, amyloid, lacunes, and WMH.
- Permutation-based network-based statistics (NBS) compared connectivity between AD and control groups; cluster-based statistics (CBS) correlated W-score connectivity disruption with pathological markers; Pearson correlations linked pathology-related disruption to cognitive scores, with Benjamini–Hochberg FDR correction for cognitive comparisons.
Limitations
- The authors state that subcortical medial temporal structures such as hippocampus and amygdala were not included, which could especially affect LOAD results; deterministic tractography cannot fully resolve crossing fibers, and the low number of gradient directions limited use of HARDI/DSI.
- The authors also note that FA can be affected non-linearly by amyloid load, requiring caution in connectivity analyses, and that cross-sectional data limit interpretation of causality.
- Evident from the text: CBS correlation analyses did not include corrections for age, sex, and years of education, unlike the W-score construction and NBS comparisons.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
13 of 52 cited sources checked · 9 supported · 0 flagged · accuracy not yet measured
- Premisecitation
EOAD patients exhibit a wider range of cognitive dysfunction, including non-memory cognitive domains, than LOAD patients.
“while EOAD patients exhibit a wider range of cognitive dysfunction, which can also include non-memory cognitive domains (Fujimori et al., 1998; Kaiser et al., 2012; Smits et al., 2012).”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites Fujimori et al., 1998 source
- cites Kaiser et al., 2012 source
The Discussion reports worse performance by EOAD patients on several non-memory executive measures, supporting that part of the claim. It does not establish that EOAD patients have a wider range of cognitive dysfunction overall: LOAD patients performed worse on naming and recognition memory, and the Introduction notes conflicting findings across studies. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites Smits et al., 2012 source
- Premisecitation
THK is known to trace not only neurofibrillary tangles but a combination of neurofibrillary tangles and astrocytosis.
“THK is known to trace not only neurofibrillary tangles but a combination of neurofibrillary tangles and astrocytosis (Ng et al., 2017; Harada et al., 2018).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Ng et al., 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Harada et al., 2018 source
- Premisecitation
The FA-weighted connectivity matrix may incorporate WM damage better than mere streamline counts.
“therefore, the FA-weighted connectivity matrix may incorporate the WM damage better than mere streamline counts (Cho et al., 2018).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Cho et al., 2018 source
- Premisecitation
BBB disruption may contribute to amyloid deposition through increased blockage of amyloid clearance.
“BBB disruption may contribute to amyloid deposition through increased blockage of amyloid clearance (Zlokovic, 2011).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Zlokovic, 2011 source
- Findingown data
In LOAD, disrupted connectivity correlated with amyloid deposition (global FLUTE SUVR).
“late-onset AD patients had disrupted connectivity correlated with amyloid deposition, white matter hyperintensities, and lacunes”
- Also stated in: § Correlation Between Connectivity Disruption and Pathological Markers · plain
“LOAD | Global FLUTE SUVR | 1 | 9 (0.0288) | Middle occipital gyrus (left)”
Quote in the paperSubstantial claim - Also stated in: § Correlation Between Connectivity Disruption and Pathological Markers · plain
- Findingown data
The patterns of white matter connectivity disruption are distinct between EOAD and LOAD.
“Both patient groups exhibited significantly disrupted connectivity compared to their control counterparts with distinct patterns.”
- Also stated in: § Distinct Patterns of WM Connectivity Disruption in AD · plain
“In EOAD patients, connections linked with the parietal lobe were most vulnerable, involving 50.0% of the total edges in the subnetwork, while most damaged edges (66.1%) were related to the frontal lobe in LOAD patients.”
Quote in the paperSubstantial claim - Also stated in: § Distinct Patterns of WM Connectivity Disruption in AD · plain
- Findingown data
In LOAD, disrupted connectivity correlated with lacunes.
“late-onset AD patients had disrupted connectivity correlated with amyloid deposition, white matter hyperintensities, and lacunes”
Quote in the paperSubstantial claim - Findingown data
In EOAD, only THK retention was related to connectivity disruption.
“Only THK retention was related to connectivity disruption in early-onset AD patients”
- Also stated in: § Correlation Between Connectivity Disruption and Pathological Markers · plain
“In EOAD, the W-scores had a significant negative correlation only with THK retention.”
Quote in the paperSubstantial claim - Also stated in: § Correlation Between Connectivity Disruption and Pathological Markers · plain
- Findingown data
In EOAD, connectivity disruption showed correlations with most cognitive scores.
“this disruption showed correlations with most cognitive scores”
Quote in the paperSubstantial claim - Findingown data
In LOAD, only a few cognitive scores showed associations with connectivity disruption.
“in which only a few cognitive scores showed associations”
Quote in the paperSubstantial claim - Findingown data
There is moderate correlation between lacune numbers and WMH volume (Spearman ρ = 0.43).
“there is moderate correlation between lacune numbers and WMH volume (Spearman ρ = 0.43)”
Quote in the paperNot a substantial claim - Findingown data
The patterns of disrupted connectivity were distinct between EOAD and LOAD.
“the patterns of disrupted connectivity were distinct between EOAD and LOAD”
Quote in the paperSubstantial claim - Findingown data
Vascular pathologies showed relationships with long connections to frontal or limbic areas.
“Global FLUTE retention was associated with disruption of relatively short edges connected to temporal or parietal regions, while vascular pathologies showed relationships with long connections to frontal or limbic areas.”
Quote in the paperSubstantial claim - Findingown data
In LOAD, W-score networks had no significant correlation with THK retention.
“When considering LOAD, however, W-score networks had no significant correlation with THK retention.”
- Also stated in: § Discussion · plain
“THK retention was not significantly associated with any edge declines in our network.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
There are only few overlapped edges among the resultant subnetworks.
“there are only few overlapped edges among the resultant subnetworks”
Quote in the paperNot a substantial claim - Findingown data
In LOAD, W-score networks had significant negative correlations with number of lacunes.
“Using an identical threshold, LOAD had significant correlations in a negative direction with global FLUTE retention, number of lacunes, and WMH volume.”
Quote in the paperSubstantial claim - Findingown data
There were no significant differences between EOAD and LOAD patients except for age and age at onset.
“There were no significant differences between the EOAD and LOAD patients except for age and age at onset.”
Quote in the paperNot a substantial claim - Findingown data
With global FLUTE retention, nine edges (p = 0.0288) comprised the identified subnetwork in which the left middle occipital gyrus was connected to the prevalent amount of edges.
“With global FLUTE retention, nine edges (p = 0.0288) comprised the identified subnetwork in which the left middle occipital gyrus was connected to the prevalent amount of edges.”
Quote in the paperNot a substantial claim - Findingown data
The representative regions for the LOAD disrupted subnetwork included the left orbital part of inferior frontal gyrus, left olfactory cortex, left insula, left superior parietal lobule, and right superior temporal gyrus.
“with the representative regions of the left orbital part of inferior frontal gyrus, left olfactory cortex, left insula, left superior parietal lobule, and right superior temporal gyrus (Figure 2).”
Quote in the paperSubstantial claim - Findingown data
In EOAD, damaged edges related to global THK retention passed bilateral precuneus regions the most.
“The damaged edges related to global THK retention passed bilateral precuneus regions the most in EOAD (Figure 3A).”
Quote in the paperNot a substantial claim - Findingown data
In LOAD, W-score networks had significant negative correlations with global FLUTE retention.
“Using an identical threshold, LOAD had significant correlations in a negative direction with global FLUTE retention, number of lacunes, and WMH volume.”
Quote in the paperSubstantial claim - Findingown data
No factors were significantly correlated with the W-scores in a positive direction.
“No factors were significantly correlated with the W-scores in a positive direction.”
Quote in the paperNot a substantial claim - Findingown data
In EOAD, regional THK retention presented similar outcomes with global retention.
“Regional THK retention also presented similar outcomes with global retention.”
Quote in the paperNot a substantial claim - Findingown data
In LOAD patients, most damaged edges (66.1%) were related to the frontal lobe.
“while most damaged edges (66.1%) were related to the frontal lobe in LOAD patients.”
Quote in the paperSubstantial claim - Findingown data
LOAD patients had higher WMH volume compared to EOAD patients.
“LOAD patients had higher values for the number of lacunes and WMH volume compared to EOAD patients”
Quote in the paperNot a substantial claim - Findingown data
In LOAD, W-score networks had significant negative correlations with WMH volume.
“Using an identical threshold, LOAD had significant correlations in a negative direction with global FLUTE retention, number of lacunes, and WMH volume.”
Quote in the paperSubstantial claim - Findingown data
Among memory function tests, only SVLT immediate recall and recognition were associated with connectivity disruption.
“Among the memory function tests, only SVLT immediate recall and recognition were associated with connectivity disruption.”
Quote in the paperNot a substantial claim - Findingown data
Global FLUTE retention and lacune numbers do not have significant relations with each other.
“Just two edges concurred between global FLUTE retention and lacune numbers that do not have significant relations with each other, connecting the left middle occipital gyrus to the left fusiform gyrus and the left inferior occipital gyrus to the left inferior temporal gyrus.”
Quote in the paperNot a substantial claim - Findingown data
Similar to EOAD, the frontal and parietal regions were also affected in LOAD patients.
“Similar to EOAD, the frontal and parietal regions were also affected in LOAD patients.”
Quote in the paperSubstantial claim - Findingown data
Both precuneus areas were the representative regions most associated with global THK retention.
“Both precuneus areas were the representative regions most associated with global THK retention.”
Quote in the paperSubstantial claim - Findingown data
In the EOAD group, the most affected areas were identified in the frontal, parietal, and occipital lobes.
“In the EOAD group, the most affected areas were identified in the frontal, parietal, and occipital lobes.”
Quote in the paperSubstantial claim - Findingown data
There were no significant correlations when using the positive range of threshold values.
“There were no significant correlations when using the positive range of threshold values.”
Quote in the paperNot a substantial claim - Findingown data
The EOAD group had significant WMH volume differences with the control group (p = 0.004).
“In terms of SVD markers, the EOAD group only had significant WMH volume differences with the control group (p = 0.004), unlike LOAD (p = 0.059).”
Quote in the paperNot a substantial claim - Findingown data
In EOAD patients, THK retention had a significant negative correlation with W-scores.
“In EOAD patients, THK retention had a significant negative correlation with W-scores.”
Quote in the paperSubstantial claim - Findingown data
Of the specific cognitive domain tests, only digit span backward showed a significant association (r = 0.4803, FDR-corrected p = 0.0233).
“Of the specific cognitive domain tests, only digit span backward showed a significant association (r = 0.4803, FDR-corrected p = 0.0233).”
Quote in the paperSubstantial claim - Findingown data
LOAD patients had higher values for the number of lacunes compared to EOAD patients.
“LOAD patients had higher values for the number of lacunes and WMH volume compared to EOAD patients”
Quote in the paperNot a substantial claim - Findingown data
The LOAD group did not have significant WMH volume differences with the control group (p = 0.059).
“In terms of SVD markers, the EOAD group only had significant WMH volume differences with the control group (p = 0.004), unlike LOAD (p = 0.059).”
Quote in the paperNot a substantial claim - Findingown data
In EOAD, amyloid had no significant relationship with connectivity disruption.
“The other factors including amyloid, number of lacunes, and WMH volume had no significant relationship with connectivity disruption in EOAD.”
Quote in the paperSubstantial claim - Findingown data
AD patients had significantly weaker WM structural connectivity compared to their age-matched control counterparts.
“In the present study, we observed that AD patients had significantly weaker WM structural connectivity compared to their age-matched control counterparts”
Quote in the paperSubstantial claim - Findingown data
Compared to the corresponding age-matched CN group, global FLUTE retention was significantly greater in the AD groups.
“Compared to the corresponding age-matched CN group, global THK and FLUTE retentions were significantly greater in the AD groups.”
Quote in the paperNot a substantial claim - Findingown data
In EOAD patients, connections linked with the parietal lobe were most vulnerable, involving 50.0% of the total edges in the subnetwork.
“In EOAD patients, connections linked with the parietal lobe were most vulnerable, involving 50.0% of the total edges in the subnetwork”
Quote in the paperSubstantial claim - Findingown data
In EOAD, number of lacunes had no significant relationship with connectivity disruption.
“The other factors including amyloid, number of lacunes, and WMH volume had no significant relationship with connectivity disruption in EOAD.”
Quote in the paperSubstantial claim - Findingown data
Just two edges concurred between global FLUTE retention and lacune numbers, connecting the left middle occipital gyrus to the left fusiform gyrus and the left inferior occipital gyrus to the left inferior temporal gyrus.
“Just two edges concurred between global FLUTE retention and lacune numbers that do not have significant relations with each other, connecting the left middle occipital gyrus to the left fusiform gyrus and the left inferior occipital gyrus to the left inferior temporal gyrus.”
Quote in the paperNot a substantial claim - Findingown data
Several scores for attention and memory function showed weak correlations: digit span forward, SVLT immediate and delayed recall, and RCFT delayed recall.
“Several scores for attention and memory function showed weak correlations: digit span forward, SVLT immediate and delayed recall, and RCFT delayed recall.”
Quote in the paperNot a substantial claim - Findingown data
In EOAD, the averaged connectivity disruption related to global THK retention was significantly associated with all cognitive scores, except for some memory tests.
“In EOAD, the averaged connectivity disruption related to global THK retention was significantly associated with all cognitive scores, except for some memory tests”
Quote in the paperNot a substantial claim - Findingown data
In EOAD, WMH volume had no significant relationship with connectivity disruption.
“The other factors including amyloid, number of lacunes, and WMH volume had no significant relationship with connectivity disruption in EOAD.”
Quote in the paperSubstantial claim - Findingown data
Regional THK retention was associated with most cognitive functions.
“Regional THK retention was also associated with most cognitive functions.”
Quote in the paperNot a substantial claim - Findingown data
Global FLUTE retention was associated with disruption of relatively short edges connected to temporal or parietal regions.
“Global FLUTE retention was associated with disruption of relatively short edges connected to temporal or parietal regions, while vascular pathologies showed relationships with long connections to frontal or limbic areas.”
Quote in the paperSubstantial claim - Findingown data
All subnetworks derived in the LOAD group had one cluster.
“As shown in Table 2, all subnetworks derived in the LOAD group had one cluster.”
Quote in the paperNot a substantial claim - Findingown data
EOAD patients had greater values for global FLUTE retention than LOAD patients.
“whereas EOAD patients had greater values for global FLUTE retention than LOAD patients.”
Quote in the paperNot a substantial claim - Findingown data
Global THK retention did not show a significant difference between EOAD and LOAD groups (p = 0.298).
“Global THK retention did not show a significant difference between EOAD and LOAD groups (p = 0.298).”
Quote in the paperNot a substantial claim - Findingown data
The representative regions for the EOAD disrupted subnetwork included the left orbital part of the inferior frontal gyrus, right middle occipital gyrus, bilateral superior parietal lobules, left inferior parietal lobule, and left angular gyrus.
“This included the left orbital part of the inferior frontal gyrus, right middle occipital gyrus, bilateral superior parietal lobules, left inferior parietal lobule, and left angular gyrus (Figure 2).”
Quote in the paperSubstantial claim - Findingown data
In EOAD regional THK retention, identified representative regions contained the right middle occipital gyrus, left superior parietal gyrus, left angular gyrus, and right middle temporal gyrus.
“Identified representative regions contained the right middle occipital gyrus, left superior parietal gyrus, left angular gyrus, and right middle temporal gyrus (Figure 3A).”
Quote in the paperNot a substantial claim - Findingown data
Compared to the corresponding age-matched CN group, global THK retention was significantly greater in the AD groups.
“Compared to the corresponding age-matched CN group, global THK and FLUTE retentions were significantly greater in the AD groups.”
Quote in the paperNot a substantial claim - Findingown data
There were no correlations between amyloid or SVD markers and WM disruption.
“Interestingly, there were no correlations between amyloid or SVD markers and WM disruption.”
Quote in the paperSubstantial claim - Findingown data
Global amyloid-related WM disruption in LOAD was correlated only with a small number of the scores.
“On the other hand, global amyloid-related WM disruption in LOAD was correlated only with a small number of the scores.”
Quote in the paperSubstantial claim - Findingown data
Only the global amyloid deposition and vascular markers were significantly related with connectivity disruption in LOAD.
“Only the global amyloid deposition and vascular markers were significantly related with connectivity disruption.”
Quote in the paperSubstantial claim - Findingown data
In LOAD, global amyloid and SVD burdens were significantly associated with the connection disruptions between occipital and limbic or frontal regions.
“In LOAD, global amyloid and SVD burdens were significantly associated with the connection disruptions between occipital and limbic or frontal regions.”
Quote in the paperSubstantial claim - Findingown data
In contrast, LOAD patients did not exhibit any tau-related findings.
“In contrast, LOAD patients did not exhibit any tau-related findings.”
Quote in the paperSubstantial claim - Findingown data
Tau-related WM disruption in EOAD was correlated with attention, language, visuospatial, frontal/executive functions, as well as MMSE and CDR SOB.
“Regarding the association with cognitive tests, tau-related WM disruption in EOAD was correlated with attention, language, visuospatial, frontal/executive functions, as well as MMSE and CDR SOB.”
Quote in the paperSubstantial claim - Findingreasoning
The occipital area was the common region associated with amyloid and SVD burdens.
“The occipital area was the common region associated with amyloid and SVD burdens.”
Quote in the paperSubstantial claim - Findingown data
Most weak correlations were shown in the memory domain.
“Most weak correlations were shown in the memory domain, which was in line with previous studies (Smits et al., 2012; Cho et al., 2017).”
Quote in the paperNot a substantial claim - Interpretationown data
The pathogenesis of connectivity disruption and its effects on cognition are distinct between EOAD and LOAD.
“These findings suggest that the pathogenesis of connectivity disruption and its effects on cognition are distinct between EOAD and LOAD.”
Quote in the paperSubstantial claim - Premisecitation
EOAD patients have shown a greater extent of neuritic plaque and neurofibrillary tangle burden in the frontal and parietal lobes than LOAD patients in postmortem studies.
“EOAD patients have shown a greater extent of neuritic plaque and neurofibrillary tangle burden in the frontal and parietal lobes than LOAD patients in postmortem studies (Marshall et al., 2007).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Marshall et al., 2007 source
- Premisecitation
Network-based analysis of brain white matter connections can reveal the structural basis of cognitive dysfunction in AD.
“network-based analysis of brain white matter (WM) connections can reveal the structural basis of cognitive dysfunction in AD (Reijmer et al., 2013)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Reijmer et al., 2013 source
- Study design and conductcitation
All AD patients fulfilled the probable AD criteria as proposed by NINCDS-ADRDA.
“All AD patients fulfilled the probable AD criteria as proposed by the National Institute of Neurological and Communicative Disorders and Stroke, and the AD and Related Disorders Association (NINCDS-ADRDA) (McKhann et al., 1984).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites McKhann et al., 1984 source
- Premisecitation
Memory function is generally more disrupted in LOAD patients than in EOAD patients.
“memory function is generally more disrupted in LOAD patients (Jacobs et al., 1994; Koss et al., 1996; Smits et al., 2012)”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisecitation
EOAD patients tend to show widespread cortical atrophy even in the early stage, especially in the posterior parietal and lateral temporal cortices, with relatively less involvement of the medial temporal structures.
“EOAD patients tend to show widespread cortical atrophy even in the early stage, especially in the posterior parietal and lateral temporal cortices, with relatively less involvement of the medial temporal structures (Frisoni et al., 2005, 2007; Canu et al., 2012; Cho et al., 2013a).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Frisoni et al., 2005, 2007
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Canu et al., 2012 source
- cites Cho et al., 2013a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The common representative region indicates that the pathology-related connectivity disruptions in LOAD were mostly involved in the occipital lobule.
“The common representative region indicates that the pathology-related connectivity disruptions in LOAD were mostly involved in the occipital lobule.”
Quote in the paperSubstantial claim - Interpretationown data
For each AD group, pathological markers revealed disparate associations with spatially different disrupted connections.
“For each AD group, pathological markers revealed disparate associations with spatially different disrupted connections.”
Quote in the paperSubstantial claim - Interpretationreasoning
These findings correlate with the pathological and clinical features of EOAD.
“These findings correlate with the pathological and clinical features of EOAD.”
Quote in the paperSubstantial claim - Interpretationreasoning
There were several edges with significantly compromised connectivity related to growing THK burden.
“This implies that there were several edges with significantly compromised connectivity related to growing THK burden.”
Quote in the paperSubstantial claim - Premisecitation
EOAD patients typically have poorer visuospatial function compared to LOAD patients.
“In terms of clinical aspects, EOAD patients typically have poorer visuospatial function, traditionally viewed as a parietal function, compared to LOAD patients (Fujimori et al., 1998; Smits et al., 2012).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Fujimori et al., 1998; Smits et al., 2012
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
As those pathologies became severe, connectivity was damaged more in the identified edge sets.
“As those pathologies became severe, the connectivity was damaged more in the identified edge sets.”
Quote in the paperSubstantial claim - Interpretationreasoning
The topography of WM connectivity disruption was well correlated with the pathological and cognitive features of each AD group.
“The topography of WM connectivity disruption was well correlated with the pathological and cognitive features of each AD group.”
Quote in the paperSubstantial claim - Study design and conductnone given
The deterministic tractography method for construction of white matter network could be a limitation, which is not able to consider crossing fibers completely.
“The deterministic tractography method for construction of white matter network could be another limitation, which is not able to consider crossing fibers completely.”
Quote in the paperNot a substantial claim - Premisecitation
Previous studies have shown that amyloid can cause neuronal dysfunction and cell death in the absence of tau pathology.
“Previous studies have shown that amyloid can cause neuronal dysfunction and cell death in the absence of tau pathology (Ramser et al., 2013; Bloom, 2014).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ramser et al., 2013; Bloom, 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
The clinical features of LOAD might be influenced by more diverse factors and more complicated processes.
“The clinical features of LOAD might be influenced by more diverse factors and more complicated processes.”
Quote in the paperNot a substantial claim - Premisecitation
The posterior circulation may be vulnerable to injury of the endothelium leading to blood-brain barrier (BBB) disruption.
“The posterior circulation may be vulnerable to injury of the endothelium leading to blood–brain barrier (BBB) disruption (Feske, 2011).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Feske, 2011 source
- Interpretationown data
Tau might be the key factor for WM disruption in EOAD.
“Tau might be the key factor for WM disruption in EOAD.”
Quote in the paperSubstantial claim - Interpretationown data
Cognitive impairment in LOAD may be influenced by more complicated processes and multiple pathologies.
“This implies that the cognitive impairment in LOAD may be influenced by more complicated processes and multiple pathologies.”
Quote in the paperSubstantial claim - Interpretationreasoning
Unlike EOAD, development of LOAD may be affected by various factors including aging and vascular factors.
“Furthermore, unlike EOAD, development of LOAD may be affected by various factors including aging and vascular factors.”
Quote in the paperSubstantial claim- Rests on an assumption: The incidence of vascular pathology increases with age, and cerebral ischemia may be related with demyelination and axonal loss resulting in reduced WM connectivity.
- Classified as probably not a substantial claim. 24
- May combine two claims. 36
- The quote only partly states this claim. 2
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAlzheimer's disease is marked by amyloid plaques and neurofibrillary tangles present in gray matter.
“Alzheimer’s disease (AD) is the most common type of neurodegenerative disease, marked by amyloid plaques and neurofibrillary tangles present in gray matter (Blennow et al., 2006; Bastin and Salmon, 2014).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Blennow et al., 2006 source
- cites Bastin and Salmon, 2014 source
The retrieved passages are chiefly bibliography entries under “Field Citation Ratio > 2.21 Relative Citation Ratio” (page unavailable), not statements about Alzheimer’s pathology. Searches for amyloid plaques, neurofibrillary tangles, and gray matter found no passage in our copy that establishes the attributed claim. (LLM, conf=0.72)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim. May combine two claims.
PremisecitationDTI metrics or structural connectome alterations showed correlations with amyloid burden or levels of cerebrospinal fluid amyloid and tau.
“Diffusion tensor imaging (DTI) metrics or structural connectome alterations showed correlations with amyloid burden (Racine et al., 2014) or levels of cerebrospinal fluid amyloid and tau (Tucholka et al., 2018).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Racine et al., 2014 source
- cites Tucholka et al., 2018 source
The Results (‘Correlations of connections with biomarkers’; page not available) report correlations between structural connectivity and CSF Aβ42 in both samples. They also report a significant correlation with p-tau in one sample, but it was not reproduced in the other; the Discussion says tau-related associations were less consistent. Thus the citation supports the amyloid finding but overstates the tau finding if read as a general correlation. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationPermutation-based NBS and CBS were proposed to cope with the problem of multiple comparison while preventing too conservative correction in connectivity analysis using group differences or correlation coefficients, respectively.
“Permutation-based network-based statistics (NBS) (Zalesky et al., 2010) and cluster-based statistics (CBS) (Han et al., 2013) were performed for each process, which were proposed to cope with the problem of multiple comparison while preventing too conservative correction in connectivity analysis using group differences or correlation coefficients, respectively.”
Quote in the paperSubstantial claim1 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe spatial atrophy pattern of neurodegenerative diseases resembles a distinct intrinsic functional connectivity.
“the spatial atrophy pattern of neurodegenerative diseases resembles a distinct intrinsic functional connectivity (Buckner et al., 2005; Seeley et al., 2009)”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Buckner et al., 2005 source
The MRI maps of longitudinal structural atrophy and Figure 6 show that atrophy in Alzheimer’s disease overlaps posterior regions associated with the default-activity network. The paper does not establish that atrophy patterns across neurodegenerative diseases resemble distinct intrinsic functional-connectivity networks; it examines Alzheimer’s disease and compares atrophy chiefly with default activity, amyloid deposition, and metabolism. Page numbers are unavailable in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites Seeley et al., 2009 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationVascular pathology is part of the multifactorial mechanisms present in LOAD.
“Vascular pathology is also known to be part of the multifactorial mechanisms present in LOAD (Ortner et al., 2015; Iturria-Medina et al., 2016).”
Quote in the paperNot a substantial claim1 of 2 sources checkedClassified as probably not a substantial claim.
PremisecitationHigher vascular burden represented by white matter hyperintensities is associated with a reduced functional connectome in AD.
“Higher vascular burden represented by white matter hyperintensities (WMHs) also have been shown to be associated with a reduced functional connectome in AD (Taylor et al., 2017).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Taylor et al., 2017 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn a previous THK study with early AD patients, the precuneus was the most prominent AD-specific THK retention area, and the spatial pattern of THK uptake showed significant similarity with functional connectivity.
“In a previous THK study with early AD patients, the precuneus was the most prominent AD-specific THK retention area, and the spatial pattern of THK uptake showed significant similarity with functional connectivity (Yokoi et al., 2018).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Yokoi et al., 2018 source
The quote only partly states this claim.
Findingown dataIn LOAD, disrupted connectivity correlated with white matter hyperintensities.
“late-onset AD patients had disrupted connectivity correlated with amyloid deposition, white matter hyperintensities, and lacunes”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataEOAD patients exhibited significantly disrupted white matter connectivity compared to young controls, with 68 edges showing significantly lower weights (p = 0.0162).
“Both patient groups exhibited significantly disrupted connectivity compared to their control counterparts with distinct patterns.”
- Also stated in: § Distinct Patterns of WM Connectivity Disruption in AD · plain
“A total of 68 edges had significantly lower weights in EOAD compared to YC (p = 0.0162).”
Quote in the paperSubstantial claim- Also stated in: § Distinct Patterns of WM Connectivity Disruption in AD · plain
May combine two claims.
Findingown dataLOAD patients exhibited significantly disrupted white matter connectivity compared to old controls, with 59 edges showing significantly disrupted connectivity (p = 0.0176).
“Both patient groups exhibited significantly disrupted connectivity compared to their control counterparts with distinct patterns.”
- Also stated in: § Distinct Patterns of WM Connectivity Disruption in AD · plain
“Meanwhile, when comparing LOAD and OC, 59 edges were found to be significantly disrupted (p = 0.0176)”
Quote in the paperSubstantial claim- Also stated in: § Distinct Patterns of WM Connectivity Disruption in AD · plain
May combine two claims.
Findingown dataIn EOAD, all edges in the identified subnetwork related to global THK retention were connected to the parietal lobule, which were connected to occipital regions the most (42.9%).
“With the representative regions involved in the parietal lobule, all edges in the identified subnetwork related to global THK retention were connected to the parietal lobule, which were connected to occipital regions the most (42.9%).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMMSE and CDR SOB did not differ significantly between EOAD and LOAD.
“Years of education and disease duration did not differ significantly in EOAD and LOAD nor did MMSE or CDR SOB.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataLOAD showed fewer items with a significant relationship, and the correlation coefficients were also lower than in EOAD.
“On the contrary, LOAD showed fewer items with a significant relationship, and the correlation coefficients were also lower than in EOAD”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMMSE (r = 0.4693, FDR-corrected p = 0.0233) or CDR SOB (r = −0.4618, FDR-corrected p = 0.0233) were associated with the edge weights having close relationships with global FLUTE retention.
“MMSE (r = 0.4693, FDR-corrected p = 0.0233) or CDR SOB (r = −0.4618, FDR-corrected p = 0.0233) were associated with the edge weights having close relationships with global FLUTE retention.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe edges were located over all brain regions in EOAD patients, but connections linked with the parietal lobe comprised the largest proportion.
“The edges were located over all brain regions in EOAD patients, but connections linked with the parietal lobe comprised the largest proportion.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn EOAD regional THK retention, local values resulted in two clusters, and the size of the largest cluster was nine (p = 0.0004).
“Local values resulted in two clusters, and the size of the largest cluster was nine (p = 0.0004).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataScores in attention, language, visuospatial, and executive function domains had significantly positive correlations with connectivity disruption.
“Scores in the domain of attention (digit span forward and backward), language (K-BNT), visuospatial (RCFT, copy), and executive function (COWAT, animal, supermarket and phonemic; Stroop test; TMT-A and B) had significantly positive correlations.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn EOAD global THK retention, the number of clusters was two, and the largest size was four (p = 0.0070).
“In the global view, the number of clusters was two, and the largest size was four (p = 0.0070).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe number of APOE ε4 carriers and proportion of amyloid-positive patients was not different between the EOAD and LOAD groups.
“The number of APOE ε4 carriers and proportion of amyloid-positive patients was not different between the EOAD and LOAD groups.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataYears of education and disease duration did not differ significantly between EOAD and LOAD.
“Years of education and disease duration did not differ significantly in EOAD and LOAD nor did MMSE or CDR SOB.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataGlobal cognition scores like MMSE and CDR SOB were significantly associated with connectivity disruption.
“Global cognition scores like MMSE and CDR SOB were also significantly associated with connectivity disruption.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataEither lacune numbers or WMH volume had the same representative region of the left middle occipital gyrus, as well as the left calcarine additionally in WMH volume analysis.
“Either lacune numbers or WMH volume had the same representative region of the left middle occipital gyrus, as well as the left calcarine additionally in WMH volume analysis”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn EOAD, edges in the resultant subnetwork were most connected to the parietal lobule, but some edges were connected within occipital and temporal regions.
“Edges in resultant subnetwork were most connected to the parietal lobule, but some edges were connected within occipital and temporal regions.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn EOAD, both global and regional THK retentions showed an increasing trend with greater connectivity disruptions.
“Both global and regional THK retentions showed an increasing trend with greater connectivity disruptions.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningIn LOAD, representative regions were additionally identified in the temporal and limbic lobes, and connection disruptions between the frontal and limbic lobes were remarkable compared to EOAD.
“In LOAD, representative regions were additionally identified in the temporal and limbic lobes, and connection disruptions between the frontal and limbic lobes were remarkable compared to EOAD.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe left superior parietal gyrus and angular gyrus were identified as the representative regions associated with regional THK retention in our study, as well as the right middle occipital and temporal gyrus.
“The left superior parietal gyrus and angular gyrus were identified as the representative regions associated with regional THK retention in our study, as well as the right middle occipital and temporal gyrus.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWith THK retention, all and half of the representative regions were derived in the parietal lobule, and connections to the parietal or occipital lobules were found in common.
“With THK retention, all and half of the representative regions were derived in the parietal lobule, and connections to the parietal or occipital lobules were found in common”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRecent tau PET studies with [18F]flortaucipir showed that EOAD had greater tau burden in the neocortex compared to LOAD patients.
“Recent tau PET studies with [18F]flortaucipir showed that EOAD had greater tau burden in the neocortex compared to LOAD patients (Cho et al., 2017; Schöll et al., 2017).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation[18F]-THK5351 PET showed greater retention in the association cortex including prefrontal, parietal, precuneus, and posterior cingulate cortex in EOAD patients compared to LOAD.
“[18F]-THK5351 PET also showed greater retention in the association cortex including prefrontal, parietal, precuneus, and posterior cingulate cortex in EOAD patients compared to LOAD (Noh et al., 2017).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Noh et al., 2017 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn amyloid PET studies, EOAD patients have exhibited higher amyloid burden in the parietal cortex, basal ganglia, and thalamus.
“In amyloid PET studies, EOAD patients have exhibited higher amyloid burden in the parietal cortex (Ossenkoppele et al., 2012), basal ganglia, and thalamus (Cho et al., 2013b).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Ossenkoppele et al., 2012 source
- cites Cho et al., 2013b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenOne experienced neurologist blinded to other patient data reviewed the number and location of lacunes.
“One experienced neurologist who was blinded to other patient data reviewed the number and location of lacunes using the FLAIR and T1 and T2 images.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationDifferent patterns of damage in interhemispheric structural and functional connectivity of EOAD and LOAD may lead to distinct clinical profiles.
“A recent study has shown that there exist different patterns of damage in terms of the interhemispheric structural and functional connectivity of EOAD and LOAD, and these patterns may lead to distinct clinical profiles (Li et al., 2018).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Li et al., 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisereasoningPrevious studies addressed only single pathological factor or could not demonstrate associations with brain-wide regional burden of these factors using in vivo PET imaging.
“However, these previous studies addressed only single pathological factor or could not demonstrate associations with brain-wide regional burden of these factors using in vivo positron emission tomography (PET) imaging.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationMultiple comparisons for cognitive scores were corrected using the Benjamini-Hochberg false discovery rate method.
“Multiple comparisons for scores were corrected using the Benjamini–Hochberg false discovery rate (FDR) method (Benjamini and Hochberg, 1995).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Benjamini and Hochberg, 1995 source
May combine two claims.
PremisecitationFA-weighted structural networks were used because FA values represent the level of microstructural organization of WM tracts and are associated with the efficacy of connections.
“We used FA-weighted structural networks for the statistical analysis since FA values have been considered to represent the level of microstructural organization of WM tracts (Beaulieu, 2002), known to be associated with the efficacy of the connections (Ewing-Cobbs et al., 2006; Gold et al., 2007)”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe precuneus is functionally variable and plays an important role in the default mode network (DMN), which is known to be disrupted in EOAD and LOAD.
“The precuneus is functionally variable and plays an important role in the default mode network (DMN), which is known to be disrupted in EOAD and LOAD (Utevsky et al., 2014; Badhwar et al., 2017).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Utevsky et al., 2014; Badhwar et al., 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationIn previous studies, EOAD patients have exhibited higher amyloid and tau burden in the parietal cortex and widespread cortical atrophy especially in the parietal cortex.
“In previous studies, EOAD patients have exhibited higher amyloid and tau burden in the parietal cortex (Ossenkoppele et al., 2012; Cho et al., 2017) and have shown widespread cortical atrophy especially in the parietal cortex (Noh et al., 2014a).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Ossenkoppele et al., 2012; Cho et al., 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Noh et al., 2014a
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).
PremisecitationSome previous studies have shown more pronounced DMN hypoconnectivity in EOAD compared to LOAD.
“Some previous studies have shown more pronounced DMN hypoconnectivity in EOAD compared to LOAD (Adriaanse et al., 2014; Thomas et al., 2014).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Adriaanse et al., 2014; Thomas et al., 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataIndividual pathology-related WM network disruptions did not seem to be associated necessarily with cognitive declines in LOAD compared to EOAD exhibiting significant correlations with various specific neuropsychological test scores.
“Individual pathology-related WM network disruptions did not seem to be associated necessarily with cognitive declines in LOAD compared to EOAD exhibiting significant correlations with various specific neuropsychological test scores.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenWe did not include subcortical structures of medial temporal regions including the hippocampus or amygdala in our analyses, which could influence the results especially in LOAD patients.
“We did not include subcortical structures of medial temporal regions including the hippocampus or amygdala in our analyses, which could influence the results especially in LOAD patients.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn CAA patients, connectivity disruption was more pronounced in the occipital lobe and related with higher amyloid load and vascular markers including WMH volume.
“In CAA patients, connectivity disruption was more pronounced in the occipital lobe and related with higher amyloid load and vascular markers including WMH volume (Reijmer et al., 2014).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Reijmer et al., 2014 source
May combine two claims.
InterpretationcitationIt is possible that SVD may result in preferential BBB disruption in the posterior circulation, which could induce increased amyloid deposition in these areas, including the occipital region.
“Therefore, it is possible that SVD may result in preferential BBB disruption in the posterior circulation, which could induce increased amyloid deposition in these areas, including the occipital region (Noh et al., 2014b).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Noh et al., 2014b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationcitationTau-related connectivity disruption in EOAD may be at least partly explained by amyloid beta triggering toxic tau and tau causing synaptic dysfunction and neuronal death.
“Therefore, tau-related connectivity disruption in EOAD may be at least partly explained by this.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationGreater tau burden exists in the parieto-occipital area with EOAD patients compared to LOAD.
“consistently with previous researches reporting that greater tau burden exists in the parieto-occipital area with EOAD patients compared to LOAD (Cho et al., 2017).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Cho et al., 2017 source
May combine two claims.
Interpretationown dataTau burden is a key influential factor and may mediate the distinct clinical patterns of EOAD.
“This sheds light on tau burden as a key influential factor and may imply that it mediates the distinct clinical patterns of EOAD.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe current study investigated the association of various pathologies with heterogeneity between EOAD and LOAD using cross-sectional data, which could limit the interpretation of the results.
“Finally, the current study investigated the association of various pathologies with heterogeneity between EOAD and LOAD using cross-sectional data, which could limit the interpretation of the results.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn a previous study, WMH were associated with amyloid burden especially in the occipital areas.
“In a previous study, WMH were associated with amyloid burden especially in the occipital areas (Grimmer et al., 2012; Noh et al., 2014b).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Grimmer et al., 2012; Noh et al., 2014b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataWM network disruption in both AD groups appeared to be distinct, with disruption in EOAD patients apparently affected by tau and related astrogliosis, which strongly correlated with most of the cognitive functions except for memory.
“WM network disruption in both AD groups appeared to be distinct, with disruption in EOAD patients apparently affected by tau and related astrogliosis, which strongly correlated with most of the cognitive functions except for memory as being compatible with the general features of EOAD.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataLOAD patients showed associations with WM disruption with amyloid or vascular pathology; however, this disruption could not explain the cognitive profile of LOAD.
“LOAD patients showed associations with WM disruption with amyloid or vascular pathology; however, this disruption could not explain the cognitive profile of LOAD.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe number of gradient directions we used was low to form enough degrees of freedom for high-order models such as HARDI and DSI.
“High-order models such as high angular resolution diffusion tensor (HARDI) (Tuch et al., 2002) and diffusion spectrum imaging (DSI) (Wedeen et al., 2005) can further resolve the crossing fiber issues, but the number of gradient directions we used was low to form enough degrees of freedom for those approaches.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationStudies have reported that amyloid beta triggers the formation of toxic tau, and the toxic form of tau causes synaptic dysfunction and neuronal death.
“Studies have reported that amyloid beta triggers the formation of toxic tau, and the toxic form of tau causes synaptic dysfunction and neuronal death (Hurtado et al., 2010; Bloom, 2014).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hurtado et al., 2010; Bloom, 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationreasoningOur findings show that EOAD and LOAD have distinct topographies and pathogenesis of WM connectivity disruption.
“Our findings show that EOAD and LOAD have distinct topographies and pathogenesis of WM connectivity disruption.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationBecause FA could be affected non-linearly by amyloid load, analyses regarding connectivity require caution.
“In addition, because it was shown that FA could be affected non-linearly by amyloid load in a previous study (Wolf et al., 2015), analyses regarding connectivity require caution.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Wolf et al., 2015 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMany recent studies about AD, mostly indicating LOAD, reported that there are synergistic or mediated effects between pathological factors on AD progression.
“Many recent studies about AD, mostly indicating LOAD, also reported that there are synergistic or mediated effects between pathological factors (e.g., tau and amyloid, or amyloid and vascular dysregulation) on AD progression (Iturria-Medina et al., 2016; Pascoal et al., 2017; Hanseeuw et al., 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Iturria-Medina et al., 2016; Pascoal et al., 2017; Hanseeuw et al., 2019
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). May combine two claims.
Study design and conductnone givenThe studies involving human participants were reviewed and approved by the Institutional Review Board of Gachon University Gil Medical Center, and participants provided written informed consent.
“The studies involving human participants were reviewed and approved by the Institutional Review Board of Gachon University Gil Medical Center. The patients/participants provided their written informed consent to participate in this study.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
No previous studies have considered the relationship between pathological markers and white matter structural network to explain clinical heterogeneities between EOAD and LOAD.
“To date, above all, there have been no previous studies considering relationship between pathological markers and WM structural network to explain clinical heterogeneities between EOAD and LOAD.”
The paper relies on this without support.
The temporal and limbic regions are primarily involved in memory function, which is mostly impaired in LOAD.
“These regions are primarily involved in memory function, which is mostly impaired in LOAD.”
The paper relies on this without support.
The incidence of vascular pathology increases with age, and cerebral ischemia may be related with demyelination and axonal loss resulting in reduced WM connectivity.
“The incidence of vascular pathology increases with age, and cerebral ischemia may be related with demyelination and axonal loss resulting in reduced WM connectivity.”
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.
NBS covariate adjustment described inconsistently
MajorThe NBS procedure is said to control for sex and education, but the subsequent description says that, as with NBS, corrections for age, sex, and education were not involved.
“Edge-by-edge t-statistics were calculated for the WM connectivity of the two groups after controlling for sex and years of education.”
“In common with the previous NBS method, corrections for age, sex, and years of education were not involved.”
Old-control group size differs between text and table
MinorThe text says the old-control group had 33 participants, but Table 1 reports 32. The table's figure is consistent with the stated total of 65 controls (33 young plus 32 old).
“CN subjects were divided into each age-matched control groups comprising 33 young controls (YC) (mean age, 57.6 years old) and 33 old controls (OC) (mean age, 75.7 years old).”
“| Variables | EOAD (n = 50) | YC (n = 33) | EOAD vs. YC p-value (statistics) | LOAD (n = 38) | OC (n = 32) | LOAD vs. OC p-value (statistics) | EOAD vs. LOAD p-value (statistics) |”
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915 · see citing works
MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging
Fazekas, F., Chawluk, J. B., Alavi, A. A., Hurtig, H. I., & Zimmerman, R. A. (1987) · American Journal of Roentgenology · doi:10.2214/ajr.149.2.351 · Cited by 5,347 · see citing works
Classification of primary progressive aphasia and its variants
Gorno-Tempini, M. L., Hillis, A. E., Weintraub, S., Kertesz, A., Mendez, M., Cappa, S. F., Ogar, J. M., Rohrer, J. D., Black, S., Boeve, B. F., et al. (2011) · Neurology · doi:10.1212/wnl.0b013e31821103e6 · Cited by 5,141 · see citing works
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,653 · see citing works
Blennow, K., de Leon, M. J., & Zetterberg, H. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69113-7 · Cited by 3,134 · see citing works
Neurovascular pathways to neurodegeneration in Alzheimer’s disease and other disorders
Zlokovic, B. V. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3114 · Cited by 2,969 · see citing works
Network-based statistic: identifying differences in brain networks
Zalesky, A., Fornito, A., & Bullmore, E. T. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.041 · Cited by 2,750 · see citing works
Rich-club organization of the human connectome
van den Heuvel, M. P., & Sporns, O. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.3539-11.2011 · Cited by 2,354 · see citing works
Neurodegenerative Diseases Target Large-Scale Human Brain Networks
Seeley, W. W., Crawford, R. K., Zhou, J., Miller, B. L., & Greicius, M. D. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.024 · Cited by 2,350 · see citing works
Bloom (2014) · doi:10.1001/jamaneurol.2013.5847 · Cited by 2,194 · see citing works
Buckner, R. L., Snyder, A. Z., Shannon, B. J., LaRossa, G., Sachs, R., Fotenos, A. F., Sheline, Y. I., Klunk, W. E., Mathis, C. A., Morris, J. C., et al. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2177-05.2005 · Cited by 2,140 · see citing works
High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity
Tuch, D. S., Reese, T. G., Wiegell, M. R., Makris, N., Belliveau, J. W., & Wedeen, V. J. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10268 · Cited by 1,548 · cited 2× · see citing works
“High-order models such as high angular resolution diffusion tensor (HARDI) (Tuch et al., 2002) and diffusion spectrum imaging (DSI) (Wedeen et al., 2005) can further resolve the crossing fiber issues, but the number of gradient directions we used was low to form enough degrees Frontiers in Neuroscience | www.frontiers…”
BackgroundMapping complex tissue architecture with diffusion spectrum magnetic resonance imaging
Wedeen, V. J., Hagmann, P., Tseng, W. I., Reese, T. G., & Weisskoff, R. M. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20642 · Cited by 1,339 · see citing works
Iturria-Medina, Y., Sotero, R. C., Toussaint, P. J., Mateos-Pérez, J. M., Evans, A. C., Initiative, T. A. D. N., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., et al. (2016) · Nature Communications · doi:10.1038/ncomms11934 · Cited by 1,202 · see citing works
Self-citationMedial temporal atrophy on MRI in normal aging and very mild Alzheimer's disease
Jack, C. R., Petersen, R. C., Xu, Y. C., Waring, S. C., O'Brien, P. C., Tangalos, E. G., Smith, G. E., Ivnik, R. J., & Kokmen, E. (1997) · Neurology · doi:10.1212/wnl.49.3.786 · Cited by 1,128 · see citing works
Precuneus Is a Functional Core of the Default-Mode Network
Utevsky, A. V., Smith, D. V., & Huettel, S. A. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4227-13.2014 · Cited by 890 · see citing works
Association of Amyloid and Tau With Cognition in Preclinical Alzheimer Disease: A Longitudinal Study
Hanseeuw, B. J., Betensky, R. A., Jacobs, H. I. L., Schultz, A. P., Sepulcre, J., Becker, J. A., Cosio, D. M. O., Farrell, M., Quiroz, Y. T., Mormino, E. C., et al. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2019.1424 · Cited by 865 · see citing works
Crutch, S. J., Lehmann, M., Schott, J. M., Rabinovici, G. D., Rossor, M. N., & Fox, N. C. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(11)70289-7 · Cited by 583 · see citing works
Ossenkoppele, R., Pijnenburg, Y. A. L., Perry, D. C., Cohn-Sheehy, B. I., Scheltens, N. M. E., Vogel, J. W., Kramer, J. H., van der Vlies, A. E., Joie, R. L., Rosen, H. J., et al. (2015) · Brain · doi:10.1093/brain/awv191 · Cited by 548 · see citing works
Resting‐state network dysfunction in Alzheimer's disease: A systematic review and meta‐analysis
Badhwar, A., Tam, A., Dansereau, C. L., Orban, P., Hoffstaedter, F., & Bellec, P. (2017) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2017.03.007 · Cited by 441 · see citing works
The topography of grey matter involvement in early and late onset Alzheimer's disease
Frisoni, G. B., Pievani, M., Testa, C., Sabattoli, F., Bresciani, L. C., Bonetti, M., Beltramello, A., Hayashi, K. M., Toga, A. W., & Thompson, P. M. (2007) · Brain · doi:10.1093/brain/awl377 · Cited by 436 · see citing works
La Joie, R., Perrotin, A., Barré, L., Hommet, C., Mézenge, F., Ibazizene, M., Camus, V., Abbas, A., Landeau, B., Guilloteau, D., et al. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.2170-12.2012 · Cited by 374 · see citing works
Monoamine oxidase B inhibitor, selegiline, reduces 18F-THK5351 uptake in the human brain
Ng, K. P., Pascoal, T. A., Mathotaarachchi, S. S., Therriault, J., Kang, M. S., Shin, M., Guiot, M.-C., Guo, Q., Harada, R., Comley, R. A., et al. (2017) · Alzheimer s Research & Therapy · doi:10.1186/s13195-017-0253-y · Cited by 346 · see citing works
Greve, D. N., Salat, D. H., Bowen, S., Izquierdo‐Garcia, D., Schultz, A. P., Catana, C., Becker, J. A., Svarer, C., Knudsen, G. M., Sperling, R. A., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.042 · Cited by 312 · see citing works
Jacobs, D., Sano, M., Marder, K., Bell, K., Bylsma, F., Lafleche, G., Albert, M., Brandt, J., & Stern, Y. (1994) · Neurology · doi:10.1212/wnl.44.7.1215 · Cited by 266 · see citing works
Cortical surface-based analysis reduces bias and variance in kinetic modeling of brain PET data
Greve, D. N., Svarer, C., Fisher, P. M., Feng, L., Hansen, A. E., Baare, W., Rosen, B., Fischl, B., & Knudsen, G. M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.021 · Cited by 264 · see citing works
Thurfjell, L., Lilja, J., Lundqvist, R., Buckley, C. J., Smith, A. P. L., Vandenberghe, R. R., & Sherwin, P. F. (2014) · Journal of Nuclear Medicine · doi:10.2967/jnumed.114.142109 · Cited by 224 · see citing works
Hurtado, D. E., Molina-Porcel, L., Iba, M., Aboagye, A. K., Paul, S. M., Trojanowski, J. Q., & Lee, V. M.-Y. (2010) · The American Journal of Pathology · doi:10.2353/ajpath.2010.100346 · Cited by 222 · see citing works
Posterior reversible encephalopathy syndrome: a review.
Feske, S. (2011) · Seminars in Neurology · doi:10.1055/s-0031-1277990 · Cited by 202 · see citing works
Anatomical heterogeneity of Alzheimer disease
Noh, Y., Jeon, S., Lee, J. M., Seo, S. W., Kim, G. H., Cho, H., Ye, B. S., Yoon, C. W., Kim, H. J., Chin, J., et al. (2014) · Neurology · doi:10.1212/wnl.0000000000001003 · Cited by 186 · see citing works
Self-citationStructural correlates of early and late onset Alzheimer's disease: voxel based morphometric study
Frisoni, G. B. (2004) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2003.029876 · Cited by 182 · see citing works
Early onset Alzheimer’s disease is associated with a distinct neuropsychological profile
Smits, L. L., Pijnenburg, Y. A. L., Koedam, E. L. G. E., van der Vlies, A. E., Reuling, I. E. W., Koene, T., Teunissen, C. E., Scheltens, P., & van der Flier, W. M. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-111934 · Cited by 182 · see citing works
Structural network alterations and neurological dysfunction in cerebral amyloid angiopathy
Reijmer, Y. D., Fotiadis, P., Martinez-Ramirez, S., Salat, D. H., Schultz, A., Shoamanesh, A., Ayres, A. M., Vashkevich, A., Rosas, D., Schwab, K., et al. (2015) · Brain · doi:10.1093/brain/awu316 · Cited by 181 · see citing works
Distinct 18F-AV-1451 tau PET retention patterns in early- and late-onset Alzheimer’s disease
Schöll, M., Ossenkoppele, R., Strandberg, O., Palmqvist, S., study, T. S. B., Jögi, J., Ohlsson, T., Smith, R., & Hansson, O. (2017) · Brain · doi:10.1093/brain/awx171 · Cited by 180 · see citing works
Harada, R., Ishiki, A., Kai, H., Sato, N., Furukawa, K., Furumoto, S., Tago, T., Tomita, N., Watanuki, S., Hiraoka, K., et al. (2018) · Journal of Nuclear Medicine · doi:10.2967/jnumed.117.197426 · Cited by 168 · see citing works
Koss, E., Edland, S., Fillenbaum, G., Mohs, R., Clark, C., Galasko, D., & Morris, J. C. (1996) · Neurology · doi:10.1212/wnl.46.1.136 · Cited by 150 · see citing works
Disruption of cerebral networks and cognitive impairment in Alzheimer disease.
Reijmer, Y. D., Leemans, A., Caeyenberghs, K., Heringa, S. M., Koek, H. L., Biessels, G. J., & On behalf of the Utrecht Vascular Cognitive Impairment Study Group (2013) · Neurology · doi:10.1212/wnl.0b013e31828c2ee5 · Cited by 147 · see citing works
Early-onset Alzheimer’s disease is associated with greater pathologic burden.
Marshall, G. A., Fairbanks, L. A., Tekin, S., Vinters, H. V., & Cummings, J. L. (2007) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988706297086 · Cited by 143 · see citing works
White matter hyperintensities predict amyloid increase in Alzheimer's disease
Grimmer, T., Faust, M., Auer, F., Alexopoulos, P., Förstl, H., Henriksen, G., Perneczky, R., Sorg, C., Yousefi, B. H., Drzezga, A. E., et al. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.01.016 · Cited by 139 · see citing works
Racine, A. M., Adluru, N., Alexander, A. L., Christian, B. T., Okonkwo, O. C., Oh, J., Cleary, C. A., Birdsill, A., Hillmer, A. T., Murali, D., et al. (2014) · NeuroImage: Clinical · doi:10.1016/j.nicl.2014.02.001 · Cited by 136 · see citing works
Functional Connectivity in Autosomal Dominant and Late-Onset Alzheimer Disease
Thomas, J. B., Brier, M. R., Bateman, R. J., Snyder, A. Z., Benzinger, T. L., Xiong, C., Raichle, M., Holtzman, D. M., Sperling, R. A., Mayeux, R., et al. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.1654 · Cited by 129 · see citing works
Amyloid burden and metabolic function in early-onset Alzheimer’s disease: parietal lobe involvement.
Ossenkoppele, R., Zwan, M. D., Tolboom, N., van Assema, D. M. E., Adriaanse, S. F., Kloet, R. W., Boellaard, R., Windhorst, A. D., Barkhof, F., Lammertsma, A. A., et al. (2012) · Brain · doi:10.1093/brain/aws113 · Cited by 123 · see citing works
Yokoi, T., Watanabe, H., Yamaguchi, H., Bagarinao, E., Masuda, M., Imai, K., Ogura, A., Ohdake, R., Kawabata, K., Hara, K., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00304 · Cited by 116 · see citing works
Gold, B. T., Powell, D. K., Xuan, L., Jiang, Y., & Hardy, P. A. (2007) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2007.04.011 · Cited by 115 · see citing works
Longitudinal changes of cortical thickness in early- versus late-onset Alzheimer's disease
Cho, H., Jeon, S., Kang, S. J., Lee, J. M., Lee, J., Kim, G. H., Shin, J. S., Kim, C. H., Noh, Y., Im, K., et al. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.01.004 · Cited by 106 · see citing works
Self-citationSynergistic interaction between amyloid and tau predicts the progression to dementia
Pascoal, T. A., Mathotaarachchi, S., Shin, M., Benedet, A. L., Mohades, S., Wang, S., Beaudry, T., Kang, M. S., Soucy, J., Labbe, A., et al. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.11.005 · Cited by 101 · see citing works
Seo, S. W., Cho, S. S., Park, A., Chin, J., & Na, D. L. (2009) · Journal of Neuroimaging · doi:10.1111/j.1552-6569.2008.00292.x · Cited by 98 · see citing works
Self-citationCho, H., Choi, J. Y., Lee, S. H., Lee, J. H., Choi, Y.-C., Ryu, Y. H., Lee, M. S., & Lyoo, C. H. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.01.024 · Cited by 83 · see citing works
Tract-specific white matter hyperintensities disrupt neural network function in Alzheimer’s disease
Taylor, A. N. W., Kambeitz-Ilankovic, L., Gesierich, B., Simon-Vermot, L., Franzmeier, N., Araque Caballero, M. Á., Müller, S., Hesheng, L., Ertl-Wagner, B., Bürger, K., et al. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.06.2358 · Cited by 73 · see citing works
Age at onset and visuocognitive disturbances in Alzheimer disease.
Fujimori, M., Imamura, T., Yamashita, H., Hirono, N., Ikejiri, Y., Shimomura, T., & Mori, E. (1998) · Alzheimer Disease & Associated Disorders · doi:10.1097/00002093-199809000-00007 · Cited by 72 · see citing works
Early neuropsychological detection of Alzheimer's disease
Bastin, C., & Salmon, E. (2014) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2014.176 · Cited by 72 · see citing works
Ramser, E. M., Gan, K. J., Decker, H., Fan, E. Y., Suzuki, M. M., Ferreira, S. T., & Silverman, M. A. (2013) · Molecular Biology of the Cell · doi:10.1091/mbc.e12-12-0858 · Cited by 71 · see citing works
Neuropsychological and neuroimaging markers in early versus late-onset Alzheimer’s disease.
Kaiser, N. C., Melrose, R. J., Liu, C., Sultzer, D. L., Jimenez, E., Su, M., Monserratt, L., & Mendez, M. F. (2012) · American Journal of Alzheimer's Disease & Other Dementias® · doi:10.1177/1533317512459798 · Cited by 68 · see citing works
Early and late onset Alzheimer’s disease patients have distinct patterns of white matter damage.
Canu, E., Frisoni, G. B., Agosta, F., Pievani, M., Bonetti, M., & Filippi, M. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.09.021 · Cited by 67 · see citing works
Amyloid Deposition in Early Onset versus Late Onset Alzheimer's Disease
Cho, H., Seo, S. W., Kim, J., Suh, M. K., Lee, J., Choe, Y. S., Lee, K.-H., Kim, J. S., Kim, G. H., Noh, Y., et al. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-121927 · Cited by 66 · see citing works
Self-citationWidespread Disruption of Functional Brain Organization in Early-Onset Alzheimer’s Disease
Adriaanse, S. M., Binnewijzend, M. A. A., Ossenkoppele, R., Tijms, B. M., van der Flier, W. M., Koene, T., Smits, L. L., Wink, A. M., Scheltens, P., van Berckel, B. N. M., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0102995 · Cited by 64 · see citing works
(2006) · Europe PMC (PubMed Central) · Cited by 60 · see citing works
Cluster-based statistics for brain connectivity in correlation with behavioral measures.
Han, C. E., Yoo, S. W., Seo, S. W., Na, D. L., & Seong, J.-K. (2013) · PLoS ONE · doi:10.1371/journal.pone.0072332 · Cited by 49 · see citing works
Self-citationWhite matter network disruption and cognitive dysfunction in neuromyelitis optica spectrum disorder.
Cho, E. B., Han, C. E., Seo, S. W., Chin, J., Shin, J.-H., Cho, H.-J., Seok, J. M., Kim, S. T., Kim, B. J., Na, D. L., et al. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.01104 · Cited by 46 · see citing works
Self-citationWhite Matter Hyperintensities are associated with Amyloid Burden in APOE4 Non-Carriers
Noh, Y., Seo, S. W., Jeon, S., Lee, J. M., Kim, J., Kim, G. H., Cho, H., Yoon, C. W., Kim, H. J., Ye, B. S., et al. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-130461 · Cited by 42 · see citing works
Self-citationWattmo, C., Wallin, Å. K., & Minthon, L. (2013) · Alzheimer s Research & Therapy · doi:10.1186/alzrt210 · Cited by 37 · see citing works
Wolf, D., 1, A. F. A. F. T. A. D. N. I., Fischer, F. U., Scheurich, A., & Fellgiebel, A. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-150049 · Cited by 35 · see citing works
[18F]-THK5351 PET Imaging in Patients With Semantic Variant Primary Progressive Aphasia
Lee, H., Seo, S., Lee, S., Jeong, H. J., Woo, S., Lee, K., Lee, Y., Park, K. H., Heo, J., Yoon, C. W., et al. (2017) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0000000000000216 · Cited by 33 · see citing works
Self-citationTucholka, A., Grau-Rivera, O., Falcon, C., Rami, L., Sánchez-Valle, R., Lladó, A., Gispert, J. D., Molinuevo, J. L., & Initiative, F. T. A. D. N. (2018) · Journal of Alzheimer’s Disease · doi:10.3233/jad-170553 · Cited by 29 · see citing works
Dysautonomia is associated with structural and functional alterations in Parkinson disease
Chung, S. J., Bae, Y. J., Jun, S., Yoo, H. S., Kim, S. W., Lee, Y. H., Sohn, Y. H., Lee, S., Seong, J., & Lee, P. H. (2019) · Neurology · doi:10.1212/wnl.0000000000007181 · Cited by 29 · see citing works
Self-citationLi, K., Luo, X., Zeng, Q., Xu, X., Huang, P., Shen, Z., Xu, J., Zhou, J., & Zhang, M. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00261 · Cited by 27 · see citing works
Ortner, M., Kurz, A., Alexopoulos, P., Auer, F., Diehl-Schmid, J., Drzezga, A., Förster, S., Förstl, H., Perneczky, R., Sorg, C., et al. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.01.019 · Cited by 17 · see citing works
Noh, Y., Na, H. K., Seo, S., Lee, S., Jeong, H. J., Okamura, N., Ido, T., & Na, D. L. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.06.1553 · Cited by 2 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 2
- Kang, 2003, Seoul Neuropsychological Screening Battery.
- Wang, 2007, Diffusion toolkit: a software package for diffusion imaging data processing and tractography, Proceedings of the International Society Magnetic Resonance in Medicine
Cited by
Still being checked.
- Authors
- Lee, W. J., Yoon, C. W., Kim, S.-W., Jeong, H. J., Seo, S., Na, D. L., Noh, Y., & Seong, J.-K.
- Affiliations
- Korea University (KR)
- Inha University (KR)
- Gachon University (KR)
- Pai Chai University (KR)
- Samsung Medical Center (KR)
- Corresponding author
- Noh, Young
- Seong, Joon-Kyung
- Venue
- Frontiers in Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2021-02-16
- Volume
- 15
- Pages
- 606600-606600
- ISSN
- 1662-453X (ISSN-L)
- PMC
- PMC7921324
- OpenAlex
- W3131363704
- Semantic Scholar
- 4e02dfe0df45f52edec64602c068188e17f51b94
- Cited by
- 12
- References
- 69
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 2 · 2023: 2 · 2022: 5
- FWCI
- 1.42
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Neuroscience (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Research Foundation
- Seoul National University
- Korea University (2019-0-00079)
- Korea Health Industry Development Institute (HI14C1135)
- National Research Foundation of Korea (H I14C1135, 2019-0-00079, 2018M3C7A1056889)
- Ministry of Science and ICT, South Korea (No. 2019-0-00079, HI14C1135, 2019-0-00079)
- College of Medicine, Seoul National University
- Institute for Information and Communications Technology Promotion (No. 2019-0-00079, 2019–0–00079, 2018M3C7A1056889)
- Department of Artificial Intelligence, Korea University (2019-0-00079)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- Alzheimer's disease, early-onset Alzheimer's disease, late-onset Alzheimer's disease, white matter connectivity, structural connectivity, amyloid, tau protein, astrocyte activation, cerebral small vessel disease, white matter hyperintensities, lacunes, fractional anisotropy, cognitive impairment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-24.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-24.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review