Microglial Activation and Connectivity in Alzheimer Disease and Aging
Open accessPublished version of a preprint
Abstract
Objective: Alzheimer disease (AD) is characterized by amyloid β (Aβ) plaques and neurofibrillary tau tangles, but increasing evidence suggests that neuroinflammation also plays a key role, driven by the activation of microglia. Aβ and tau pathology appear to spread along pathways of highly connected brain regions, but it remains elusive whether microglial activation follows a similar distribution pattern. Here, we assess whether connectivity is associated with microglia activation patterns. Methods: We included 32 Aβ‐positive early AD subjects (18 women, 14 men) and 18 Aβ‐negative age‐matched healthy controls (10 women, 8 men) from the prospective ActiGliA (Activity of Cerebral Networks, Amyloid and Microglia in Aging and Alzheimer's Disease) study. All participants underwent microglial activation positron emission tomography (PET) with the third‐generation mitochondrial 18 kDa translocator protein (TSPO) ligand [ 18 F]GE‐180 and magnetic resonance imaging (MRI) to measure resting‐state functional and structural connectivity. Results: We found that inter‐regional covariance in TSPO‐PET and standardized uptake value ratio was preferentially distributed along functionally highly connected brain regions, with MRI structural connectivity showing a weaker association with microglial activation. AD patients showed increased TSPO‐PET tracer uptake bilaterally in the anterior medial temporal lobe compared to controls, and higher TSPO‐PET uptake was associated with cognitive impairment and dementia severity in a disease stage‐dependent manner. Interpretation: Microglial activation distributes preferentially along highly connected brain regions, similar to tau pathology. These findings support the important role of microglia in neurodegeneration, and we speculate that pathology spreads throughout the brain along vulnerable connectivity pathways. ANN NEUROL 2022;92:768–781
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Written from the paper’s full text.
TL;DR
In early Aβ-positive Alzheimer disease (AD) and age-matched controls, microglial activation measured with [18F]GE-180 TSPO-PET covaried preferentially along functionally highly connected brain regions, with weaker structural-connectivity associations. AD patients showed increased TSPO-PET uptake in bilateral anterior medial temporal lobe, and higher uptake was quadratically associated with cognitive impairment and dementia severity.
Key findings
- TSPO-PET covariance was associated with functional connectivity in AD (β = 0.35, p < 0.001) and controls (β = 0.47, p < 0.001); structural connectivity showed weaker associations in both groups (β = 0.06, p < 0.001).
- AD patients had increased TSPO-PET tracer uptake compared with Aβ-negative controls in the bilateral anterior medial temporal lobe (p < 0.001).
- Anterior medial temporal lobe TSPO-PET SUVR showed quadratic associations with CDR SOB (R² = 0.39, p < 0.001), CERAD-NB total score (R² = 0.20, p < 0.017), and MMSE (R² = 0.15, p = 0.049), suggesting disease-stage-dependent microglial activation.
- In AD, TSPO-PET uptake in anterior medial temporal regions was quadratically associated with CSF sTREM2 (R² = 0.39, p < 0.02); no association was found for the whole cohort (R² = 0.05, p < 0.49) or controls separately (R² = 0.12, p < 0.48).
Methods
- Baseline data from the prospective, longitudinal, observational ActiGliA study; included 32 Aβ-positive early AD subjects (18 women, 14 men) and 18 Aβ-negative age-matched healthy controls (10 women, 8 men).
- Participants underwent TSPO-PET with [18F]GE-180, MRI resting-state functional connectivity, and DTI structural connectivity; CSF biomarkers and APOE/TSPO genotyping were also assessed. Only high-affinity binders and mixed-affinity binders were included in PET analyses, with 6 low-affinity binders excluded, and analyses adjusted for binding status.
- Imaging analyses used the Brainnetome 246-region atlas; TSPO-PET SUVR covariance matrices were calculated per diagnostic group and related to functional and structural connectivity using linear regression. Voxelwise group comparisons used SPM12, and clinical associations used quadratic regression in SPSS.
Limitations
- The paper states a relatively small sample size restricts statistical power for some analyses, the data are exploratory and should be confirmed in independent datasets, and the small sample may explain nonsignificant group differences in CSF sTREM2.
- The paper states no pathological verification was available to confirm clinical diagnoses; limited blood-brain barrier passage of [18F]GE-180 must be acknowledged; late static SUVR with an intracerebral reference tissue may be biased by cerebral blood flow alterations and attenuation of a polymorphism effect; and AD patients were predominantly early stage, so cross-sectional group differences may be diluted if multiple activity peaks occur as AD progresses.
- Evident from the text: the cross-sectional design cannot establish that microglial activation spreads along connectivity pathways or determine causal direction between tau, microglial activation, and connectivity; the current analysis did not directly assess spatial colocalization of microglial and tau PET, although follow-up tau-PET is planned.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
0 of 16 cited sources checked · 0 supported · 0 flagged
- Findingown data
In AD patients, more strongly interconnected brain regions showed a greater covariance in TSPO-PET (β = 0.35, p < 0.001).
“Supporting our hypothesis, we found that more strongly interconnected brain regions showed a greater covariance in TSPO-PET in AD (β = 0.35, p < 0.001) and in the control group (β = 0.47, p < 0.001).”
Quote in the paperSubstantial claim - Findingown data
In healthy controls, functional connectivity from seed regions with higher TSPO-PET uptake was associated with higher TSPO-PET uptake in target regions (β = 0.57, p < 0.001).
“For seed regions with higher levels of TSPO-PET uptake, functional connectivity was associated with higher levels of TSPO-PET uptake in the target regions and vice versa in the AD group (β = 0.83, p < 0.001) and healthy controls (β = 0.57, p < 0.001; Fig 6A).”
Quote in the paperSubstantial claim - Findingown data
Structural connectivity analysis did not reveal any significant positive or negative associations between hot spot or cold spot seed regions and TSPO-PET uptake in target regions.
“The same analysis based on structural connectivity did not reveal any significant positive or negative associations (see Fig 7B).”
Quote in the paperSubstantial claim - Findingown data
AD patients showed more pathological CSF biomarker concentrations compared to controls (lower Aβ42 and Aβ42/40 ratio, higher ptau181 and ttau).
“As expected, AD patients showed more pathological CSF biomarker concentrations compared to the control group (lower Aβ42 and Aβ42/40 ratio, higher ptau181 and ttau).”
Quote in the paperSubstantial claim - Findingown data
In cognitively normal controls, more strongly interconnected brain regions showed a greater covariance in TSPO-PET (β = 0.47, p < 0.001).
“Supporting our hypothesis, we found that more strongly interconnected brain regions showed a greater covariance in TSPO-PET in AD (β = 0.35, p < 0.001) and in the control group (β = 0.47, p < 0.001).”
Quote in the paperSubstantial claim
- Findingown data
In the cohort as a whole, there was no association between TSPO-PET tracer uptake and CSF sTREM2 (R2 = 0.05, p < 0.49).
“no association between the two variables was found for the cohort as a whole (R 2 = 0.05, p < 0.49)”
Quote in the paperNot a substantial claim - Findingown data
In AD patients, anterior medial temporal lobe TSPO-PET SUVR was quadratically associated with CERAD-NB total score (R2 = 0.20, p < 0.017).
“Our analysis revealed a quadratic association between anterior medial temporal lobe TSPO-PET SUVR and CDR SOB (R 2 = 0.39, p < 0.001), CERAD-NB total score (R 2 = 0.20, p < 0.017), and MMSE score (R 2 = 0.15, p = 0.049; see Fig 3)”
Quote in the paperSubstantial claim - Findingown data
In AD patients, anterior medial temporal lobe TSPO-PET SUVR was quadratically associated with CDR SOB (R2 = 0.39, p < 0.001).
“Our analysis revealed a quadratic association between anterior medial temporal lobe TSPO-PET SUVR and CDR SOB (R 2 = 0.39, p < 0.001), CERAD-NB total score (R 2 = 0.20, p < 0.017), and MMSE score (R 2 = 0.15, p = 0.049; see Fig 3)”
Quote in the paperSubstantial claim - Findingown data
In cognitively normal controls, structural connectivity showed a weak association with TSPO-PET covariance (β = 0.06, p < 0.001).
“For structural connectivity, a weak association with TSPO-PET covariance was shown for AD patients (β = 0.06, p < 0.001) and control subjects (β = 0.06; p < 0.001; see Fig 5B).”
Quote in the paperNot a substantial claim - Findingown data
In AD patients, functional connectivity from hot spot seed regions was positively associated with TSPO-PET uptake in target regions (β = 0.74, p < 0.001).
“The hot spot seed regions analysis revealed strong positive associations in cognitively normal controls (β = 0.79, p < 0.001) and AD patients (β = 0.74, p < 0.001), whereas in the cold spot seed regions analyses, a negative association was shown for both groups (cognitively normal controls: β = À0.22,p < 0.03; AD patients: β = À0.25,p = 0.002; Fig 7A).”
Quote in the paperSubstantial claim - Findingown data
Mean TSPO-PET uptake was highest in the occipital region, other than elevated uptake in the inferior temporal gyrus/mesiotemporal, (pre)cuneus, and posterior cingulate regions.
“other than elevated TSPO-PET uptake levels in the inferior temporal gyrus/mesiotemporal, (pre)cuneus, and posterior cingulate regions, the mean TSPO-PET uptake was highest in the occipital region.”
Quote in the paperNot a substantial claim - Findingown data
We observed weaker associations for structural connectivity.
“we observed weaker associations for structural connectivity”
Quote in the paperSubstantial claim - Findingown data
In normal controls, there was no association between TSPO-PET tracer uptake and CSF sTREM2 (R2 = 0.12, p < 0.48).
“and in normal controls separately (R 2 = 0.12, p < 0.48; Fig 3).”
Quote in the paperNot a substantial claim - Findingown data
In AD patients, anterior medial temporal lobe TSPO-PET SUVR was quadratically associated with MMSE score (R2 = 0.15, p = 0.049).
“Our analysis revealed a quadratic association between anterior medial temporal lobe TSPO-PET SUVR and CDR SOB (R 2 = 0.39, p < 0.001), CERAD-NB total score (R 2 = 0.20, p < 0.017), and MMSE score (R 2 = 0.15, p = 0.049; see Fig 3)”
Quote in the paperSubstantial claim - Findingown data
In AD patients, structural connectivity showed a weak association with TSPO-PET covariance (β = 0.06, p < 0.001).
“For structural connectivity, a weak association with TSPO-PET covariance was shown for AD patients (β = 0.06, p < 0.001) and control subjects (β = 0.06; p < 0.001; see Fig 5B).”
Quote in the paperNot a substantial claim - Findingown data
The association between functional connectivity and microglial activation was somewhat weaker but similar in the AD group and in the normal controls.
“Interestingly, the association between functional connectivity and microglial activation was somewhat weaker but similar in the AD group and in the normal controls.”
Quote in the paperNot a substantial claim - Findingown data
In AD patients, structural connectivity from seed regions with higher TSPO-PET uptake was associated with higher TSPO-PET uptake in target regions (β = 0.36, p < 0.001).
“A somewhat weaker association was shown for structural connectivity in both groups (AD: β = 0.36, p < 0.001; controls: β = 0.37, p < 0.001; see Fig 6B).”
Quote in the paperSubstantial claim - Findingown data
In AD patients, functional connectivity from cold spot seed regions was negatively associated with TSPO-PET uptake in target regions (β = -0.25, p = 0.002).
“The hot spot seed regions analysis revealed strong positive associations in cognitively normal controls (β = 0.79, p < 0.001) and AD patients (β = 0.74, p < 0.001), whereas in the cold spot seed regions analyses, a negative association was shown for both groups (cognitively normal controls: β = À0.22,p < 0.03; AD patients: β = À0.25,p = 0.002; Fig 7A).”
Quote in the paperSubstantial claim - Findingown data
In cognitively normal controls, functional connectivity from cold spot seed regions was negatively associated with TSPO-PET uptake in target regions (β = -0.22, p < 0.03).
“The hot spot seed regions analysis revealed strong positive associations in cognitively normal controls (β = 0.79, p < 0.001) and AD patients (β = 0.74, p < 0.001), whereas in the cold spot seed regions analyses, a negative association was shown for both groups (cognitively normal controls: β = À0.22,p < 0.03; AD patients: β = À0.25,p = 0.002; Fig 7A).”
Quote in the paperSubstantial claim - Findingown data
In AD patients, functional connectivity from seed regions with higher TSPO-PET uptake was associated with higher TSPO-PET uptake in target regions (β = 0.83, p < 0.001).
“For seed regions with higher levels of TSPO-PET uptake, functional connectivity was associated with higher levels of TSPO-PET uptake in the target regions and vice versa in the AD group (β = 0.83, p < 0.001) and healthy controls (β = 0.57, p < 0.001; Fig 6A).”
Quote in the paperSubstantial claim - Findingown data
In AD patients, TSPO-PET tracer uptake in AD-specific regions was quadratically associated with CSF sTREM2 (R2 = 0.39, p < 0.02).
“AD patients revealed a significant quadratic association between TSPO-PET tracer uptake in the above regions, identified as AD-specific sites of microglial activation, and CSF sTREM2 (R 2 = 0.39, p < 0.02)”
Quote in the paperSubstantial claim - Findingown data
In controls, structural connectivity from seed regions with higher TSPO-PET uptake was associated with higher TSPO-PET uptake in target regions (β = 0.37, p < 0.001).
“A somewhat weaker association was shown for structural connectivity in both groups (AD: β = 0.36, p < 0.001; controls: β = 0.37, p < 0.001; see Fig 6B).”
Quote in the paperSubstantial claim - Findingown data
Inter-regional covariance in TSPO-PET SUVR was preferentially distributed along functionally highly connected brain regions, with structural connectivity showing a weaker association.
“We found that inter-regional covariance in TSPO-PET and standardized uptake value ratio was preferentially distributed along functionally highly connected brain regions, with MRI structural connectivity showing a weaker association”
- Also stated in: § Discussion · plain
“Our two key findings are that functional connectivity is associated spatially with microglial activation”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
In cognitively normal controls, functional connectivity from hot spot seed regions was positively associated with TSPO-PET uptake in target regions (β = 0.79, p < 0.001).
“The hot spot seed regions analysis revealed strong positive associations in cognitively normal controls (β = 0.79, p < 0.001) and AD patients (β = 0.74, p < 0.001), whereas in the cold spot seed regions analyses, a negative association was shown for both groups (cognitively normal controls: β = À0.22,p < 0.03; AD patients: β = À0.25,p = 0.002; Fig 7A).”
Quote in the paperSubstantial claim - Interpretationown data
The results of our study suggest that neuroinflammation is related to microglial activation in AD.
“To conclude, the results of our study suggest that neuroinflammation is related to microglial activation in AD”
Quote in the paperSubstantial claim - Interpretationown data
Regions of neuroinflammation are connected by neural activity rather than simply by structural connections.
“Because we observed weaker associations for structural connectivity, we argue that regions of neuroinflammation are connected by neural activity rather than simply by structural connections.”
Quote in the paperSubstantial claim - Interpretationown data
These findings support the important role of microglia in neurodegeneration.
“These findings support the important role of microglia in neurodegeneration”
Quote in the paperSubstantial claim - Premisecitation
There is evidence that an interaction between microglial activation and Aβ triggers the dissemination of tau across the Braak stages.
“There is also evidence that an interaction between microglial activation and Aβ triggers the dissemination of tau across the Braak stages.21”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Study design and conductnone given
AD patients were predominantly in an early disease stage.
“Lastly, AD patients were predominantly in an early disease stage”
Quote in the paperSubstantial claim - Study design and conductcitation
The low background signal of [18F]GE-180 appears to facilitate sensitive detection of alterations as a specific surrogate of microglial activation.
“The low background signal of [ 18 F]GE-180 appears to facilitate sensitive detection of alterations as a specific surrogate of microglial activation.60,61”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [60]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [61]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
These results further support the hypothesis of a connectivity-based distribution pattern.
“These results further support the hypothesis of a connectivity-based distribution pattern.”
Quote in the paperSubstantial claim - Study design and conductnone given
A relatively small sample size restricts the statistical power of some of the analyses.
“A relatively small sample size restricts the statistical power of some of the analyses”
Quote in the paperNot a substantial claim - Interpretationnone given
Clinical expression of AD pathology is affected by neuroinflammation.
“We confirm that clinical expression of AD pathology is affected by neuroinflammation”
Quote in the paperSubstantial claim - Study design and conductown data
Adjusting the analysis for sTREM2 concentration did not change the results.
“Adjusting the analysis for sTREM2 concentration did not change the results (Fig 5A).”
Quote in the paperNot a substantial claim - Interpretationown data
The association of TSPO-PET tracer uptake with clinical disease severity varies with disease stage, suggesting an AD stage-dependent activation of the brain's immune system.
“suggesting an AD stagedependent activation of the brain's immune system.”
- Also stated in: § Discussion · hedged
“supporting a stage-specific role of the brain immune system.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · hedged
- May combine two claims. 19
- The quote only partly states this claim. 1
- Classified as probably not a substantial claim. 13
May combine two claims.
Findingown dataStructural and functional connectivity were decreased on the whole brain level and within the default mode network in AD patients compared with healthy controls.
“structural and functional connectivity were decreased on the whole brain level and within the default mode network comparing AD patients with healthy controls (results not shown).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAD subjects had significantly worse cognitive performance (CERAD-NB and MMSE) and higher CDR SOB ratings than cognitively normal controls (p < 0.001).
“Compared to cognitively normal controls, AD subjects had significantly (p < 0.001) worse cognitive performance (CERAD-NB and MMSE) and higher CDR Sum of the Boxes (SOB) ratings.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor regions with high microglial activation (seed), a higher functional connectivity was associated with higher microglial activation (target) and vice versa.
“For regions with high microglial activation (seed) a higher functional connectivity was associated with higher microglial activation (target) and vice versa.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataAD patients showed increased TSPO-PET tracer uptake bilaterally in the anterior medial temporal lobe compared to Aβ-negative healthy controls (p < 0.001).
“AD patients showed increased TSPO-PET tracer uptake bilaterally in the anterior medial temporal lobe compared to controls”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the analysis of the association between functional connectivity and microglial activation in hot spots and cold spots, there was a significant positive beta in the hot spot and a significant negative beta in the cold spot area.
“In the analysis of the association between functional connectivity and microglial activation in the hot spots and cold spots, we observed a significant positive beta in the hot spot and a significant negative beta in the cold spot area”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDespite lack of a significant difference in sTREM2 between the two diagnostic groups, a quadratic association between sTREM2 concentration and TSPO-PET uptake was revealed.
“Despite lack of a significant difference in sTREM2 between the two diagnostic groups, a quadratic association between sTREM2 concentration and TSPO-PET uptake was revealed.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn this study, [18F]GE-180-PET binding was higher in HABs compared to MABs, although not significantly.
“Furthermore, data in this study showed higher [18F]GE-180-PET binding in HABs compared to MABs, although not significantly.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown datasTREM2 levels were higher in AD compared to controls, but the difference did not reach statistical significance in an analysis of variance adjusted for age, sex, and education.
“sTREM2 levels were higher in AD compared to controls, but this numerical difference did not reach statistical significance in an analysis of variance adjusted for age, sex, and education”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataMicroglial activation distributes preferentially along highly connected brain regions, similar to tau pathology.
“Microglial activation distributes preferentially along highly connected brain regions, similar to tau pathology.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenAll TSPO-PET analyses were adjusted for TSPO binding status.
“All TSPO-PET analyses were adjusted for binding status.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAn inflammatory profile of the aged human brain has been demonstrated by molecular analysis, CSF, neuroimaging, and histological studies, suggesting enhanced microglial activation in healthy aging independently from Aβ pathology.
“An inflammatory profile of the aged human brain has been demonstrated by molecular analysis, CSF, neuroimaging, and histological studies, suggesting enhanced microglial activation in healthy aging independently from Aβ pathology.47”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [47]
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 givenLate static SUVRs were calculated with an intracerebral reference tissue, which is a limitation of the quantification approach of TSPO-PET.
“As a limitation of the quantification approach of TSPO-PET, we note that late static SUVRs were calculated with an intracerebral reference tissue.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Interpretationown dataThese observations indicate a functional burnout of microglia with increasing activity.
“where we interpreted these observations as an indication of a functional burnout of microglia with increasing activity.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductown dataOnly HABs and MABs were included in the PET analyses, with 6 LABs excluded.
“Only HABs and MABs were included in the PET analyses, with 6 LABs excluded.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMicroglia phagocytose tau and therefore might play an important role in spreading of tau pathology throughout the brain.
“Microglia phagocytose tau and therefore might play an important role in spreading of tau pathology throughout the brain.51,52”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [51]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [52]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Study design and conductreasoningNo pathological verification was available to confirm the clinical diagnoses; however, a careful biomarker-based stratification and in-depth phenotyping minimizes the likelihood of diagnostic misclassification.
“No pathological verification was available to confirm the clinical diagnoses; however, a careful biomarkerbased stratification and in-depth phenotyping minimizes the likelihood of diagnostic misclassification.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone givenThe assessed cohort is the largest and best characterized dataset of its kind with both TSPO and amyloid PET, CSF biomarkers, and resting-state fMRI available for all participants.
“However, to the best of our knowledge, the assessed cohort is the largest and best characterized dataset of its kind with both TSPO and amyloid PET, CSF biomarkers, and resting-state fMRI available for all participants.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationMicroglia is directly involved in the regulation of neural activity, providing a negative feedback mechanism operating similarly to inhibitory neurons.
“Recently, it has been shown that microglia is directly involved in the regulation of neural activity, providing a negative feedback mechanism operating similarly to inhibitory neurons.56”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [56]
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 conductreasoningThe small sample size may also be the reason for the nonsignificant group differences for CSF sTREM2.
“The small sample size may also be the reason for the nonsignificant group differences for CSF sTREM2.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataRegions with low microglia activation are sparsely connected with other brain regions exhibiting lower microglial activation, whereas regions with high microglia activation seem to be highly connected with other regions exhibiting high microglia activation.
“suggesting that regions with low microglia activation are sparsely connected with other brain regions exhibiting lower microglial activation, whereas regions with high microglia activation seem to be highly connected with other regions exhibiting high microglia activation.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductcitationLimited blood-brain barrier passing of [18F]GE-180 is a limitation, but previous data indicated strong agreement with immunohistochemistry in AD models and patterns matching known topology of microglial activation in neurodegenerative diseases.
“Limited blood-brain barrier passing of [ 18 F]GE-180 needs to be acknowledged, but our previous data indicated strong agreement with immunohistochemistry in AD models 58 and patterns matching known topology of microglial activation in neurodegenerative diseases.10,59”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [58]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [10]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [59]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationTSPO-PET uptake is associated with age, with increased uptake in healthy older participants.
“Furthermore, TSPO-PET uptake was shown to be associated with age, with increased uptake in healthy older participants.[48][49][50]”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [48]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [49]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [50]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
Study design and conductreasoningThe analysis was controlled for HAB and MAB binding status to avoid possible confounding.
“To avoid possible confounding, we controlled our analysis for HAB and MAB binding status.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationGroup differences of microglial activation may have been diluted in the cross-sectional analysis if several activity peaks exist as AD progresses.
“group differences of microglial activation may have been diluted in the cross-sectional analysis if several activity peaks exist as AD progresses.63”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [63]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Study design and conductreasoningOur quantification approach may be subject to some bias by cerebral blood flow alterations and attenuation of a polymorphism effect.
“Thus, we acknowledge that our quantification approach may be subject to some bias by cerebral blood flow alterations and attenuation of a polymorphism effect.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductcitationAlthough late static SUVRs showed suitability for TSPO-PET quantification, this method was inferior to scaling by a late-tissue-to-blood ratio.
“Although late static SUVRs showed suitability for TSPO-PET quantification, 62 this method was inferior to scaling by a late-tissue-to-blood ratio.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [62]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Study design and conductown dataThere were no differences in age, sex, body weight, and years of education between AD patients and controls.
“There were no differences in age, sex, body weight, and years of education.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA similar pattern was found in our previous study in 4-repeat tauopathies.
“A similar pattern was found in our previous study in 4-repeat tauopathies, 10”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [10]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenAll results were adjusted for age, sex, and education with false discovery rate correction for multiple comparisons, with a significance level of p < 0.05.
“All results were adjusted for age, sex, and education with false discovery rate correction for multiple comparisons, with a significance level of p < 0.05.”
Quote in the paperSubstantial claim
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.
Cold-spot connectivity interpretation reverses the reported association
MinorThe reported negative association means that greater connectivity to a low-uptake seed is associated with lower uptake in target regions. The discussion instead says regions with low activation are sparsely connected to other low-activation regions.
“regions with low microglia activation are sparsely connected with other brain regions exhibiting lower microglial activation”
“whereas in the cold spot seed regions analyses, a negative association was shown for both groups (cognitively normal controls: β = À0.22,p < 0.03; AD patients: β = À0.25,p = 0.002; Fig 7A).”
Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282 · see citing works
Alzheimer's disease: the amyloid cascade hypothesis
Hardy, J. A., & Higgins, G. A. (1992) · Science · doi:10.1126/science.1566067 · Cited by 7,484 · cited 1× · see citing works
“Extracellular amyloid β (Aβ) plaques and intracellular neurofibrillary tau tangles are the pathological hallmarks of Alzheimer disease (AD), leading to a cascade of brain changes resulting in cognitive decline and dementia.(1) Recent genetic, molecular, and clinical evidence suggests that neuroimmune mechanisms are as…”
BackgroundNeuroinflammation in Alzheimer's disease
Heneka, M. T., Carson, M. J., Khoury, J. E., Landreth, G. E., Brosseron, F., Feinstein, D. L., Jacobs, A. H., Wyss-Coray, T., Vitorica, J., Ransohoff, R. M., et al. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(15)70016-5 · Cited by 6,226 · cited 2× · see citing works
“Recent genetic, molecular, and clinical evidence suggests that neuroimmune mechanisms are associated with AD risk and contribute to disease progression.(2,3) Patients with symptomatic AD show alterations in cerebrospinal fluid (CSF) and blood pro- and anti-inflammatory proteins,(4,5) including the soluble triggering r…”
BackgroundSynaptic Pruning by Microglia Is Necessary for Normal Brain Development
Paolicelli, R. C., Bolasco, G., Pagani, F., Maggi, L., Scianni, M., Panzanelli, P., Giustetto, M., Ferreira, T. A., Guiducci, E., Dumas, L., et al. (2011) · Science · doi:10.1126/science.1202529 · Cited by 4,244 · cited 1× · see citing works
“Another speculative mechanism of the observed associations between functional connectivity and microglia activation refers to synaptic pruning, an essential mechanism in healthy brain development.(53) Askew pruning in AD and age-related diseases by microglia, normally confined to brain development, might result in syn…”
BackgroundBraak, H., Alafuzoff, I., Arzberger, T., Kretzschmar, H., & Del Tredici, K. (2006) · Acta Neuropathologica · doi:10.1007/s00401-006-0127-z · Cited by 3,172 · cited 2× · see citing works
“Increasing evidence indicates that the spread of tau tangles in the neocortex is accompanied by microglial activation,(13,20) with both types of pathologies seemingly following a Braak-stagelike distribution pattern along an activated network of microglia, suggesting that Aβ and microglia together initiate tau spreadi…”
The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture
Fan, L., Li, H., Zhuo, J., Zhang, Y., Wang, J., Chen, L., Yang, Z., Chu, C., Xie, S., Laird, A. R., et al. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw157 · Cited by 2,956 · cited 1× · see citing works
“In an atlas-based analysis, the individual TSPO tracer uptake was calculated in the regions of the Brainnetome (BN) atlas, a multimodal connectivity-based parcellation framework atlas based on a 246-region brain parcellation, including 210 cortical and 36 subcortical subregions.(35)”
Inflammation as a central mechanism in Alzheimer's disease
Kinney, J. W., Bemiller, S. M., Murtishaw, A. S., Leisgang, A. M., Salazar, A. M., & Lamb, B. T. (2018) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1016/j.trci.2018.06.014 · Cited by 2,253 · cited 1× · see citing works
“Microglial activation is increasingly considered the third pathological hallmark of AD, in addition to Aβ and tau deposition.(41) The main objective of our study was to explore whether connectivity is associated with the patterns of microglial activation in patients with early AD and healthy control subjects, using th…”
MethodNeuroinflammation in Alzheimer's disease: current evidence and future directions
Calsolaro, V., & Edison, P. (2016) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.02.010 · Cited by 1,726 · cited 1× · see citing works
“Recent genetic, molecular, and clinical evidence suggests that neuroimmune mechanisms are associated with AD risk and contribute to disease progression.(2,3) Patients with symptomatic AD show alterations in cerebrospinal fluid (CSF) and blood pro- and anti-inflammatory proteins,(4,5) including the soluble triggering r…”
BackgroundDepletion of microglia and inhibition of exosome synthesis halt tau propagation
Asai, H., Ikezu, S., Tsunoda, S., Medalla, M., Luebke, J., Haydar, T., Wolozin, B., Butovsky, O., Kügler, S., & Ikezu, T. (2015) · Nature Neuroscience · doi:10.1038/nn.4132 · Cited by 1,591 · cited 1× · see citing works
“Microglia phagocytose tau and therefore might play an important role in spreading of tau pathology throughout the brain.(51,52) There is also evidence that an interaction between microglial activation and Aβ triggers the dissemination of tau across the Braak stages.”
BackgroundNegative feedback control of neuronal activity by microglia
Badimon, A., Strasburger, H. J., Ayata, P., Chen, X., Nair, A., Ikegami, A., Hwang, P., Chan, A. T., Graves, S. M., Uweru, J. O., et al. (2020) · Nature · doi:10.1038/s41586-020-2777-8 · Cited by 979 · cited 1× · see citing works
“Recently, it has been shown that microglia is directly involved in the regulation of neural activity, providing a negative feedback mechanism operating similarly to inhibitory neurons.(56) One might speculate that failure in this direct regulation of neural activity by microglia results in the observed changes in func…”
Relationship of microglia and astrocytes to amyloid deposits of Alzheimer disease
Itagaki, S., McGeer, P. L., Akiyama, H., Zhu, S., & Selkoe, D. (1989) · Journal of Neuroimmunology · doi:10.1016/0165-5728(89)90115-x · Cited by 940 · cited 1× · see citing works
“Patients with symptomatic AD show alterations in cerebrospinal fluid (CSF) and blood pro- and anti-inflammatory proteins,(4,5) including the soluble triggering receptor expressed on myeloid cells 2 (sTREM2), a marker of activated microglia,(6) typically surrounding Aβ plaques as the brain’s main innate immune response…”
BackgroundExploreDTI: a graphical toolbox for processing, analyzing, and visualizing diffusion MR data
Leemans, A., Jeurissen, B., Sijbers, J., & Jones, D. K. (2009) · Cited by 874 · see citing works
Khan, U. A., Liu, L., Provenzano, F. A., Berman, D. E., Profaci, C. P., Sloan, R., Mayeux, R., Duff, K. E., & Small, S. A. (2014) · Nature Neuroscience · doi:10.1038/nn.3606 · Cited by 561 · cited 1× · see citing works
“These fi ndings are in line with several previous studies reporting early neurodegenerative and in fl ammatory changes in the medial temporal lobe, 42,43 overlapping with the earliest sites of tau pathology accumulation.”
ResultLoss of TREM2 function increases amyloid seeding but reduces plaque-associated ApoE
Parhizkar, S., Arzberger, T., Brendel, M., Kleinberger, G., Deussing, M., Focke, C., Nuscher, B., Xiong, M., Ghasemigharagoz, A., Katzmarski, N., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0296-9 · Cited by 555 · cited 1× · see citing works
“Limited blood – brain barrier passing of [ 18 F]GE-180 needs to be acknowledged, but our previous data indicated strong agreement with immunohistochemistry in AD models 58 and patterns matching known topology of microglial activation in neurodegenerative diseases.”
ResultSelf-citationSuárez‐Calvet, M., Kleinberger, G., Araque Caballero, M. Á., Brendel, M., Rominger, A., Alcolea, D., Fortea, J., Lleó, A., Blesa, R., Gispert, J. D., et al. (2016) · EMBO Molecular Medicine · doi:10.15252/emmm.201506123 · Cited by 522 · cited 2× · see citing works
“The CSF sTREM2 concentrations were measured at the DZNE Munich based on previously established in-house ELISA protocols using duplicate samples.(31) Average measurements of the duplicates were used for the statistical analyses after applying method and plate-specific correction procedures.”
MethodResultSelf-citationSpread of pathological tau proteins through communicating neurons in human Alzheimer’s disease
Vogel, J. W., Iturria‐Medina, Y., Strandberg, O. T., Smith, R. A., Levitis, E., Evans, A. C., Hansson, O., Initiative, A. D. N., Weiner, M. W., Aisen, P., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15701-2 · Cited by 521 · cited 1× · see citing works
“Highly connected hub regions show increased tau accumulation on PET imaging, accelerated by Aβ pathology,(17) supporting a model of transneuronal spread of tau molecules.(18,19) Increasing evidence indicates that the spread of tau tangles in the neocortex is accompanied by microglial activation,(13,20) with both types…”
BackgroundMicroglial activation and tau propagate jointly across Braak stages
Pascoal, T. A., Benedet, A. L., Ashton, N. J., Kang, M. S., Therriault, J., Chamoun, M., Savard, M., Lussier, F. Z., Tissot, C., Karikari, T. K., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01456-w · Cited by 490 · cited 3× · see citing works
“Increasing evidence indicates that the spread of tau tangles in the neocortex is accompanied by microglial activation,(13,20) with both types of pathologies seemingly following a Braak-stagelike distribution pattern along an activated network of microglia, suggesting that Aβ and microglia together initiate tau spreadi…”
BackgroundReactive Glia not only Associates with Plaques but also Parallels Tangles in Alzheimer’s Disease
Serrano-Pozo, A., Mielke, M. L., Gómez-Isla, T., Betensky, R. A., Growdon, J. H., Frosch, M. P., & Hyman, B. T. (2011) · The American Journal of Pathology · doi:10.1016/j.ajpath.2011.05.047 · Cited by 488 · cited 1× · see citing works
“Previous research indicates that microglial activation is related to tau propagation and colocalization with tau pathology in a Braak stage-like fashion; furthermore, microglial activation was found to precede tau pathology.(20,21,46) Although the present study did not explore directly the spatial colocalization of mi…”
BackgroundConsortium to Establish a Registry for Alzheimer's Disease (CERAD): The first twenty years
Fillenbaum, G. G., van Belle, G., Morris, J. C., Mohs, R. C., Mirra, S. S., Davis, P. C., Tariot, P. N., Silverman, J. M., Clark, C. M., Welsh-Bohmer, K. A., et al. (2008) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2007.08.005 · Cited by 477 · see citing works
Distinct amyloid-β and tau-associated microglia profiles in Alzheimer’s disease
Gerrits, E., Brouwer, N., Kooistra, S. M., Woodbury, M. E., Vermeiren, Y., Lambourne, M., Mulder, J., Kummer, M., Möller, T., Biber, K., et al. (2021) · Acta Neuropathologica · doi:10.1007/s00401-021-02263-w · Cited by 441 · cited 1× · see citing works
“Within the microglia population, two distinct expression profiles were recently identified, associated with either Aβ load or tissue phosphorylated tau (ptau).(11) Colocalization of tau and activated microglia was demonstrated,(12,13) and Aβ plaque-dependent microglia was identified.”
An early and late peak in microglial activation in Alzheimer’s disease trajectory
Fan, Z., Brooks, D. J., Okello, A., & Edison, P. (2017) · Brain · doi:10.1093/brain/aww349 · Cited by 422 · see citing works
Microglia Priming with Aging and Stress
Niraula, A., Sheridan, J. F., & Godbout, J. P. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2016.185 · Cited by 398 · cited 1× · see citing works
“An inflammatory profile of the aged human brain has been demonstrated by molecular analysis, CSF, neuroimaging, and histological studies, suggesting enhanced microglial activation in healthy aging independently from Aβ pathology.(47) Furthermore, TSPOPET uptake was shown to be associated with age, with increased uptak…”
BackgroundShen, X.-N., Niu, L.-D., Wang, Y.-J., Cao, X.-P., Liu, Q., Tan, L., Zhang, C., & Yu, J.-T. (2019) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2018-319148 · Cited by 388 · see citing works
A total score for the CERAD neuropsychological battery
Chandler, M. J., Lacritz, L. H., Hynan, L. S., Barnard, H. D., Allen, G., Deschner, M., Weiner, M. F., & Cullum, C. M. (2005) · Neurology · doi:10.1212/01.wnl.0000167607.63000.38 · Cited by 387 · cited 1× · see citing works
“Using the CERAD-NB, a total score was created as shown previously, comprising the 6 subtests semantic fluency (animals/60 seconds), modified Boston Naming Test, Word List Learning, Constructional Praxis, Word List Recall, and Word List Recognition Discriminability, with higher scores indicating better performance (max…”
MethodLoss of TREM2 function increases amyloid seeding but reduces plaque-associated ApoE
Parhizkar, S., Arzberger, T., Brendel, M., Kleinberger, G., Deußing, M., Focke, C., Nuscher, B., Xiong, M., Ghasemigharagoz, A., Katzmarski, N., et al. (2019) · doi:10.7892/boris.125653 · Cited by 352 · see citing works
Self-citationIn vivo radioligand binding to translocator protein correlates with severity of Alzheimer’s disease
Kreisl, W. C., Lyoo, C. H., McGwier, M., Snow, J., Jenko, K. J., Kimura, N., Corona, W., Morse, C. L., Zoghbi, S. S., Pike, V. W., et al. (2013) · Brain · doi:10.1093/brain/awt145 · Cited by 350 · see citing works
Initiative, F. T. A. D. N., Suárez-Calvet, M., Morenas-Rodríguez, E., Kleinberger, G., Schlepckow, K., Araque Caballero, M. Á., Franzmeier, N., Capell, A., Fellerer, K., Nuscher, B., et al. (2019) · Molecular Neurodegeneration · doi:10.1186/s13024-018-0301-5 · Cited by 347 · cited 1× · see citing works
“An AD stage-dependent behavior was earlier suggested for sTREM2 in CSF, another marker of microglial activation with an inverse U-shaped association with AD severity.(31,44) For TSPO-PET, this stage-dependent association was shown in a mouse model overexpressing the Aβ precursor protein.”
Self-citationFunctional brain architecture is associated with the rate of tau accumulation in Alzheimer’s disease
Franzmeier, N., Neitzel, J., Rubinski, A., Smith, R. A., Strandberg, O. T., Ossenkoppele, R., Hansson, O., Ewers, M., Initiative, A. D. N., Weiner, M. W., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-14159-1 · Cited by 336 · cited 2× · see citing works
“A growing body of evidence supports a model of prionlike tau spreading with progressing neurodegeneration, presumably promoted by neural activity.(18,40,45) We hypothesize that not only tau, but also microglial activation follows a distribution along functional connectivity pathways, in line with a spatial pathologica…”
BackgroundSelf-citationConsiderations and code for partial volume correcting [ 18 F]-AV-1451 tau PET data
Baker, S. L., Maaß, A., & Jagust, W. J. (2017) · Data in Brief · doi:10.1016/j.dib.2017.10.024 · Cited by 298 · cited 1× · see citing works
“To obtain standardized uptake value ratios (SUVRs), the TSPO-PET scans were intensity-normalized using the inferior cerebellar gray matter as reference region.(33) Follow-up acquisitions of the ActiGliA study include tau-PET imaging with PI-2620.”
The role of microglia in processing and spreading of bioactive tau seeds in Alzheimer’s disease
Hopp, S. C., Lin, Y., Oakley, D., Roe, A. D., DeVos, S. L., Hanlon, D., & Hyman, B. T. (2018) · Journal of Neuroinflammation · doi:10.1186/s12974-018-1309-z · Cited by 286 · cited 1× · see citing works
“Previous research indicates that microglial activation is related to tau propagation and colocalization with tau pathology in a Braak stage-like fashion; furthermore, microglial activation was found to precede tau pathology.(20,21,46) Although the present study did not explore directly the spatial colocalization of mi…”
BackgroundMicroglial activation correlates in vivo with both tau and amyloid in Alzheimer’s disease
Dani, M., Wood, M., Mizoguchi, R., Fan, Z., Walker, Z., Morgan, R., Hinz, R., Biju, M., Kuruvilla, T., Brooks, D. J., et al. (2018) · Brain · doi:10.1093/brain/awy188 · Cited by 270 · cited 2× · see citing works
“11 Colocalization of tau and activated microglia was demonstrated, 12,13 and A β plaque-dependent microglia was identi fi ed.”
BackgroundXiang, X., Wind, K., Wiedemann, T., Blume, T., Shi, Y., Briel, N., Beyer, L., Biechele, G., Eckenweber, F., Zatcepin, A., et al. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.abe5640 · Cited by 268 · cited 1× · see citing works
“Limited blood–brain barrier passing of [(18)F]GE-180 needs to be acknowledged, but our previous data indicated strong agreement with immunohistochemistry in AD models(58) and patterns matching known topology of microglial activation in neurodegenerative diseases.(10,59) The low background signal of [(18)F]GE-180 appea…”
ResultSelf-citationAssessment of 18F-PI-2620 as a Biomarker in Progressive Supranuclear Palsy
Brendel, M., Barthel, H., van Eimeren, T., MAREK, K. L., Beyer, L., Song, M., Palleis, C., Gehmeyr, M., Fietzek, U. M., Respondek, G., et al. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.2526 · Cited by 267 · cited 1× · see citing works
“34 To align reference tissues across tracers for upcoming analyses, we decided to stick to a uni fi ed reference tissue.”
Self-citationKreisl, W. C., Jenko, K. J., Hines, C. S., Lyoo, C. H., Corona, W., Morse, C. L., Zoghbi, S. S., Hyde, T. M., Kleinman, J. E., Pike, V. W., et al. (2012) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2012.131 · Cited by 251 · cited 1× · see citing works
“Binding affinity of the [(18)F]GE-180 TSPO ligand is affected by the codominant rs6971 (Ala/Thr) single nucleotide polymorphisms (SNPs) of the TSPO gene and needs to be considered in the imaging analysis.(28) High-affinity binders (HABs) are Ala/Ala carriers, low-affinity binders (LABs) are Thr/Thr carriers, and mixed…”
Tau burden and the functional connectome in Alzheimer’s disease and progressive supranuclear palsy
Cope, T., Rittman, T., Borchert, R. J., Jones, P. S., Vatansever, D., Allinson, K. S. J., Passamonti, L., Rodríguez, P. V., Bevan-Jones, W. R., O'Brien, J. T., et al. (2017) · Brain · doi:10.1093/brain/awx347 · Cited by 240 · see citing works
TDP-43 depletion in microglia promotes amyloid clearance but also induces synapse loss
Paolicelli, R. C., Jawaid, A., Henstridge, C. M., Valeri, A., Merlini, M., Robinson, J. L., Lee, E. B., Rose, J., Appel, S., Lee, V. M.-Y., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.05.037 · Cited by 239 · cited 1× · see citing works
“54,55 Recently, it has been shown that microglia is directly involved in the regulation of neural activity, providing a negative feedback mechanism operating similarly to inhibitory neurons.”
BackgroundFunctional connectivity associated with tau levels in ageing, Alzheimer’s, and small vessel disease
Franzmeier, N., Rubinski, A., Neitzel, J., Kim, Y., Damm, A., Na, D. L., Kim, H. J., Lyoo, C. H., Cho, H., Finsterwalder, S., et al. (2019) · Brain · doi:10.1093/brain/awz026 · Cited by 234 · cited 3× · see citing works
“Network Connectivity Prediction of TSPO-PET Tracer Uptake We explored whether TSPO-PET tracer uptake in a particular region is predictive of the TSPO levels in a connected region, following a similar approach proposed recently for the association between functional connectivity and tau PET.(40) For seed regions with h…”
BackgroundSelf-citationJessen, F., Spottke, A. E., Boecker, H., Brosseron, F., Büerger, K., Catak, C., Fließbach, K., Franke, C., Fuentes, M., Heneka, M. T., et al. (2018) · Alzheimer s Research & Therapy · doi:10.1186/s13195-017-0314-2 · Cited by 233 · see citing works
Self-citationIntersection of pathological tau and microglia at the synapse
Vogels, T., Murgoci, A.-N., & Hromádka, T. (2019) · Acta Neuropathologica Communications · doi:10.1186/s40478-019-0754-y · Cited by 197 · cited 1× · see citing works
“Microglia phagocytose tau and therefore might play an important role in spreading of tau pathology throughout the brain.(51,52) There is also evidence that an interaction between microglial activation and Aβ triggers the dissemination of tau across the Braak stages.”
Microglia as a Potential Bridge between the Amyloid β‐Peptide and Tau
Kitazawa, M., Yamasaki, T. R., & LaFerla, F. M. (2004) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1332.006 · Cited by 177 · see citing works
GraphVar: A user-friendly toolbox for comprehensive graph analyses of functional brain connectivity
Kruschwitz, J., List, D., Waller, L., Rubinov, M., & Walter, H. (2015) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2015.02.021 · Cited by 160 · see citing works
Dumurgier, J., Schraen‐Maschke, S., Gabelle, A., Vercruysse, O., Bombois, S., Laplanche, J., Peoc’h, K., Sablonnière, B., Kastanenka, K. V., Delaby, C., et al. (2015) · Alzheimer s Research & Therapy · doi:10.1186/s13195-015-0114-5 · Cited by 145 · cited 1× · see citing works
“5%, as suggested previously.(30) Concentrations of total tau (ttau) and ptau181 were measured in CSF using the Innotest htau-Ag, and Innotest P-tau (181P) ELISA assays (Fujirebio Europe, Ghent, Belgium).”
MethodMicroglial activation in healthy aging
Schuitemaker, A., van der Doef, T. F., Boellaard, R., van der Flier, W. M., Yaqub, M., Windhorst, A. D., Barkhof, F., Jonker, C., Kloet, R. W., Lammertsma, A. A., et al. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.09.016 · Cited by 142 · see citing works
Fan, Z., Okello, A. A., Brooks, D. J., & Edison, P. (2015) · Brain · doi:10.1093/brain/awv288 · Cited by 135 · see citing works
Subramanian, J., Savage, J. C., & Tremblay, M. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.592607 · Cited by 124 · cited 1× · see citing works
“Askew pruning in AD and age-related diseases by microglia, normally confined to brain development, might result in synaptic loss during adulthood and drive the observed connectivity changes.(54,55) Recently, it has been shown that microglia is directly involved in the regulation of neural activity, providing a negativ…”
Effects of age, BMI and sex on the glial cell marker TSPO — a multicentre [11C]PBR28 HRRT PET study
HRRT [11C ]PBR28 study group, Tuisku, J., Plavén‐Sigray, P., Gaiser, E., Airas, L. M., Al‐Abdulrasul, H., Brück, A., Carson, R. E., Chen, M.-K., Cosgrove, K., et al. (2019) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-019-04403-7 · Cited by 108 · see citing works
Plescher, M., Seifert, G., Hansen, J. N., Bedner, P., Steinhäuser, C., & Halle, A. (2018) · Glia · doi:10.1002/glia.23318 · Cited by 101 · see citing works
Molecular imaging of neuroinflammation in Alzheimer's disease and mild cognitive impairment
Knezevic, D., & Mizrahi, R. (2018) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.05.007 · Cited by 97 · cited 1× · see citing works
“Increased microglial activation is apparent on TSPO-PET scans in different neurodegenerative disorders, including AD, corticobasal syndrome, and progressive supranuclear palsy.(3,9,10) Neuroinflammation, extracellular Aβ plaques, and intracellular tau neurofibrils seem to be linked closely.”
BackgroundGulyás, B., Vas, Á., Tóth, M., Takano, A., Varrone, A., Cselényi, Z., Schain, M., Mattsson, P., & Halldin, C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.020 · Cited by 94 · see citing works
Pereira, J. B., Ossenkoppele, R., Palmqvist, S., Strandberg, T. O., Smith, R. A., Westman, E., & Hansson, O. (2019) · eLife · doi:10.7554/elife.50830 · Cited by 91 · cited 1× · see citing works
“A growing body of evidence supports a model of prionlike tau spreading with progressing neurodegeneration, presumably promoted by neural activity.(18,40,45) We hypothesize that not only tau, but also microglial activation follows a distribution along functional connectivity pathways, in line with a spatial pathologica…”
BackgroundAn ‘anatomical cascade hypothesis’ for Alzheimer's disease
Hardy, J. (1992) · Trends in Neurosciences · doi:10.1016/0166-2236(92)90033-5 · Cited by 79 · see citing works
CSF soluble TREM2 as a measure of immune response along the Alzheimer's disease continuum
Rauchmann, B., Schneider-Axmann, T., Alexopoulos, P., & Perneczky, R. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.10.022 · Cited by 73 · see citing works
Self-citationHayes, A., Thaker, U., Iwatsubo, T., Pickering-Brown, S. M., & Mann, D. M. A. (2002) · Neuroscience Letters · doi:10.1016/s0304-3940(02)00888-1 · Cited by 65 · cited 1× · see citing works
“11 Colocalization of tau and activated microglia was demonstrated, 12,13 and A β plaque-dependent microglia was identi fi ed.”
BackgroundCovariance statistics and network analysis of brain PET imaging studies
Veronese, M., Moro, L., Arcolin, M., Dipasquale, O., Rizzo, G., Expert, P., Khan, W., Fisher, P. M., Svarer, C., Bertoldo, A., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-39005-8 · Cited by 63 · cited 1× · see citing works
“First, the BN atlas-based TSPO-PET SUVR for each subject was concatenated, vectorized, and z -transformed to remove intersubject differences of the traceruptake, 37 followed byapairwiseinterregionalcorrelationtocalcu-late a TSPO-PET covariance adjacency matrix for each diagnostic group.”
MethodEdison, P., & Brooks, D. J. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-179929 · Cited by 62 · cited 1× · see citing works
“In vivo, microglial activation can be measured with positron emission tomography (PET) tracers targeting the mitochondrial 18 kDa translocator protein (TSPO), located on the outer mitochondrial membrane and overexpressed on activated immune cells.(8) Increased microglial activation is apparent on TSPO-PET scans in dif…”
BackgroundIn Vivo Assessment of Neuroinflammation in <scp>4‐Repeat</scp> Tauopathies
Palleis, C., Sauerbeck, J., Beyer, L., Harris, S., Schmitt, J., Morenas‐Rodriguez, E., Finze, A., Nitschmann, A., Ruch‐Rubinstein, F., Eckenweber, F., et al. (2021) · Movement Disorders · doi:10.1002/mds.28395 · Cited by 62 · cited 2× · see citing works
“Limited blood–brain barrier passing of [(18)F]GE-180 needs to be acknowledged, but our previous data indicated strong agreement with immunohistochemistry in AD models(58) and patterns matching known topology of microglial activation in neurodegenerative diseases.(10,59) The low background signal of [(18)F]GE-180 appea…”
BackgroundResultSelf-citationSpread of pathological tau proteins through communicating neurons in human Alzheimer’s diseasePreprint
Vogel, J. W., Iturria‐Medina, Y., Strandberg, O. T., Smith, R. A., Evans, A. C., Hansson, O., & for the Alzheimer’s Disease Neuroimaging Initiative, A. T. S. B. S. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/555821 · Cited by 59 · see citing works
Soluble TREM2 and Inflammatory Proteins in Alzheimer’s Disease Cerebrospinal Fluid
Rauchmann, B., Sadlon, A., Perneczky, R., & Initiative, A. D. N. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-191120 · Cited by 49 · see citing works
Self-citationBlume, T., Focke, C., Peters, F., Deußing, M., Albert, N. L., Lindner, S., Gildehaus, F., von Ungern‐Sternberg, B., Ozmen, L., Baumann, K., et al. (2018) · Journal of Neuroinflammation · doi:10.1186/s12974-018-1347-6 · Cited by 45 · cited 2× · see citing works
“For TSPO-PET, this stage-dependent association was shown in a mouse model overexpressing the Aβ precursor protein.(15) A growing body of evidence supports a model of prionlike tau spreading with progressing neurodegeneration, presumably promoted by neural activity.”
Self-citationImaging Translocator Protein as a Biomarker of Neuroinflammation in Dementia
Kreisl, W. C., Henter, I. D., & Innis, R. B. (2017) · Advances in pharmacology · doi:10.1016/bs.apha.2017.08.004 · Cited by 39 · see citing works
Shen, X., Niu, L., Wang, Y., Cao, X., Liu, Q., Tan, L., Zhang, C., & Yu, J. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.041476 · Cited by 36 · see citing works
Sridharan, S., Raffel, J., Nandoskar, A., Record, C. J., Brooks, D. J., Owen, D. R., Sharp, D. J., Muraro, P. A., Gunn, R. N., & Nicholas, R. S. (2019) · Molecular Imaging and Biology · doi:10.1007/s11307-019-01323-8 · Cited by 35 · see citing works
Vettermann, F. J., Harris, S., Schmitt, J., Unterrainer, M., Lindner, S., Rauchmann, B., Palleis, C., Weidinger, E., Beyer, L., Eckenweber, F., et al. (2021) · Life · doi:10.3390/life11060484 · Cited by 32 · see citing works
Self-citationRelationship between tau, neuroinflammation and atrophy in Alzheimer's disease: The NIMROD study
Su, L., Surendranathan, A., Huang, Y., Bevan-Jones, W. R., Passamonti, L., Hong, Y. T., Arnold, R. J., Rodríguez, P. V., Wang, Y., Mak, E., et al. (2020) · Information Fusion · doi:10.1016/j.inffus.2020.10.006 · Cited by 30 · cited 1× · see citing works
“In support of this hypothesis, a recent multimodal study suggested a strong spatial overlap between tau and microglial PET as well as gray matter atrophy.(42) We also observed that regions with low microglial activation showed decreased functional connectivity, supporting the hypothesis that not only tau but also acti…”
Dual-Phase β-Amyloid PET Captures Neuronal Injury and Amyloidosis in Corticobasal Syndrome
Schmitt, J., Palleis, C., Sauerbeck, J., Unterrainer, M., Harris, S., Prix, C., Weidinger, E., Katzdobler, S., Wagemann, O., Danek, A., et al. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.661284 · Cited by 29 · see citing works
Self-citationPublisher Correction: Microglial activation and tau propagate jointly across Braak stages
Pascoal, T. A., Benedet, A. L., Ashton, N. J., Kang, M. S., Therriault, J., Chamoun, M., Savard, M., Lussier, F. Z., Tissot, C., Karikari, T. K., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01568-3 · Cited by 27 · see citing works
Pre-therapeutic microglia activation and sex determine therapy effects of chronic immunomodulation
Biechele, G., Blume, T., Deußing, M., Zott, B., Shi, Y., Xiang, X., Franzmeier, N., Kleinberger, G., Peters, F., Ochs, K., et al. (2021) · Theranostics · doi:10.7150/thno.64022 · Cited by 20 · cited 1× · see citing works
“The low background signal of [(18)F]GE-180 appears to facilitate sensitive detection of alterations as a specific surrogate of microglial activation.(60,61) As a limitation of the quantification approach of TSPO-PET, we note that late static SUVRs were calculated with an intracerebral reference tissue.”
Self-citationIn vivo Assessment of Neuroinflammation in 4-Repeat TauopathiesPreprint
Palleis, C., Sauerbeck, J., Beyer, L., Harris, S., Schmitt, J., Morenas‐Rodríguez, E., Finze, A., Nitschmann, A., Ruch, F., Eckenweber, F., et al. (2020) · medRxiv · doi:10.1101/2020.07.14.20150243 · Cited by 10 · see citing works
Self-citationTSPO PET With 18F-GE-180 to Differentiate Variants of Multiple Sclerosis
Völk, S., Unterrainer, M., Albert, N. L., Havla, J. B., Gerdes, L. A., Schumacher, M., Brendel, M., Kaiser, L., Adorjan, K., Rupprecht, R., et al. (2020) · Clinical Nuclear Medicine · doi:10.1097/rlu.0000000000003220 · Cited by 7 · see citing works
Self-citationPre-therapeutic Microglia Activation and Sex Determine Therapy Effects of Chronic ImmunomodulationPreprint
Biechele, G., Blume, T., Deußing, M., Zott, B., Shi, Y., Xiang, X., Franzmeier, N., Kleinberger, G., Peters, F., Ochs, K., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.30.445761 · Cited by 3 · see citing works
Self-citationPaul, E., & Brooks David, J. (2018) · Advances in Alzheimer’s Disease · doi:10.3233/978-1-61499-876-1-337
Cope, T. E., Borchert, R., Rittman, T., et al. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.06.1030
Tuisku, J., Plavén-Sigray, P., Gaiser, E. C., et al. (2019) · doi:10.1101/564831
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Heneka, M., Gauthier, S., Chandekar, S. A., Hahn-Pedersen, J. H., Bentsen, M. A., & Zetterberg, H. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-02939-9 · Cited by 84 · see citing works
Appleton, J., Finn, Q., Zanotti-Fregonara, P., Yu, M., Faridar, A., Nakawah, M. O., Zarate, C., Carrillo, M. C., Dickerson, B. C., Rabinovici, G. D., et al. (2025) · Brain · doi:10.1093/brain/awae234 · Cited by 58 · see citing works
“68,69,70,71 As with other TSPO tracers, including 11 -C-PK11195, 26 binding was influenced by the TSPO polymorphism.”
Schirge, P. M., Perneczky, R., Taoka, T., Ruiz‐Rizzo, A. L., Ersoezlue, E., Forbrig, R., Guersel, S., Kurz, C., Brendel, M., Hellmann‐Regen, J., et al. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01707-9 · Cited by 50 · see citing works
“The Activity of Cerebral Networks, Amyloid and Microglia in Aging (ActiGliA) study, a prospective, observational, single-center study of the Munich Cluster for Systems Neurology (SyNergy) at Ludwig-Maximilians-University (LMU) Munich, included n = 16 AD patients and n = 18 HC [31], as seen in Fig.”
Self-citationFinze, A., Biechele, G., Rauchmann, B.-S., Franzmeier, N., Palleis, C., Katzdobler, S., Weidinger, E., Guersel, S., Schuster, S., Harris, S., et al. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02188-8 · Cited by 40 · see citing works
“Group level TSPO-PET data of this cohort was previously published for patients with AD, 4RTs, and controls [32, 33].”
BackgroundMethodSelf-citationVinnakota, J. M., Biavasco, F., Schwabenland, M., Chhatbar, C., Adams, R. C., Erny, D., Duquesne, S., Khawanky, N. E., Schmidt, D., Fetsch, V., et al. (2024) · Nature Cancer · doi:10.1038/s43018-024-00764-7 · Cited by 47 · see citing works
“Per participant, the standardized regional deviation of global mean scaled images ( z score) was calculated versus the age-matched healthy cohort 63 .”
Self-citationTau follows principal axes of functional and structural brain organization in Alzheimer’s disease
Ottoy, J., Kang, M. S., Tan, J. X. M., Boone, L., de Wael, R. V., Park, B., Bezgin, G., Lussier, F. Z., Pascoal, T. A., Rahmouni, N., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-49300-2 · Cited by 49 · see citing works
“A recent in-vivo human study demonstrated that brain regions with high TSPO-PET binding show increased connectivity with other high-TSPO binding regions, suggesting that microglia activation distributes along connectivity-based pathways similar to tau 87 .”
Sun, P., He, Z., Li, A., Yang, J., Zhu, Y., Cai, Y. Q., Ma, T., Ma, S., Guo, T., & Initiative, A. D. N. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14176 · Cited by 33 · see citing works
“41,42 A recent study on white matter neuroinflammation also confirms its association with AD pathologies and cognition.”
The microglial translocator protein (TSPO) in Alzheimer’s disease reflects a phagocytic phenotype
Garland, E. F., Antony, H., Kulagowska, L., Scott, T., Rogien, C., Bottlaender, M., Nicoll, J. A. R., & Boche, D. (2024) · Acta Neuropathologica · doi:10.1007/s00401-024-02822-x · Cited by 32 · see citing works
Völter, F., Beyer, L., Eckenweber, F., Scheifele, M., Bui, N., Patt, M., Barthel, H., Katzdobler, S., Palleis, C., Franzmeier, N., et al. (2022) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-022-06087-y · Cited by 29 · see citing works
Self-citationNeuroinflammation Biomarkers in the AT(N) Framework Across the Alzheimer's Disease Continuum
Bieger, A., Rocha, A., Bellaver, B., Machado, L. S., Ros, L. U. D., Borelli, W. V., Therriault, J., Macedo, A. C., Pascoal, T. A., Gauthier, S. G., et al. (2023) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2023.54 · Cited by 29 · see citing works
“While some studies observed increased significant differences between cognitively unimpaired (CU) and AD dementia individuals’ (40, 41) other reports found no alterations (42-48).”
BackgroundResultAlzheimer's disease: Potential pathogenesis and imaging findings
Zhang, Y., Zhang, C., Liu, J., & Shao, H. (2023) · Open Research (University of Surrey) · doi:10.1002/viw.20230025 · Cited by 32 · see citing works
Biechele, G., Rauchmann, B., Janowitz, D., Büerger, K., Franzmeier, N., Weidinger, E., Guersel, S., Schuster, S., Finze, A., Harris, S., et al. (2024) · Journal of Neuroinflammation · doi:10.1186/s12974-024-03020-y · Cited by 27 · see citing works
“…single-center study of the Munich Cluster for Systems Neurology (SyNergy) at Ludwig-Maximilians-University (LMU) Munich, initiated in 2017 [17] [18]; MRI and PET imaging using tracers for Aβ, TSPO and tau; and fluid biobanking, including CSF, plasma, serum, saliva, DNA, RNA and peripheral…”
BackgroundMethodInfluentialSelf-citationPini, L., Salvalaggio, A., Wennberg, A. M. V., Dimakou, A., Matteoli, M., & Corbetta, M. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.101867 · Cited by 26 · see citing works
Malpetti, M., Roemer, S. N., Harris, S., Groß, M., Gnörich, J. S., Stephens, A. W., Dewenter, A., Steward, A., Biel, D., Dehsarvi, A., et al. (2024) · Movement Disorders · doi:10.1002/mds.29924 · Cited by 24 · see citing works
“37,38 Speci fi - cally, highly connected brain hubs showed stronger global covariance in both tau-PET and TSPO-PET, suggesting that regions with brain-wide connectivity may act as key relay stations for the expansion of tau and neuroin fl ammation across connected regions in 4R tauopathies.”
Self-citationBrain resident microglia in Alzheimer’s disease: foe or friends
Kaur, S., Malleshwari, K., Sharma, A., Giridharan, V. V., & Dandekar, M. P. (2024) · Inflammopharmacology · doi:10.1007/s10787-024-01550-8 · Cited by 23 · see citing works
“In amyloid β (Aβ)-positive AD patients, increased uptake of mitochondrial 18 kDa translocator protein (TSPO) ligand was reported in the anterior medial temporal lobe, which was found to be linked with cognitive impairment and the degree of dementia (Rauchmann et al. 2022).”
Early Locus Coeruleus noradrenergic axon loss drives olfactory dysfunction in Alzheimer’s disease
Meyer, C., Niedermeier, T., Feyen, P., Struebing, F. L., Rauchmann, B., Karali, K., Gentz, J., Tillmann, Y., Landgraf, N. F., Rumpf, S.-L., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-62500-8 · Cited by 22 · see citing works
Self-citationQiu, L., Wang, Y., Wang, Y., Liu, F., Deng, S., Xue, W., & Wang, Y. (2023) · Drug Design Development and Therapy · doi:10.2147/dddt.s411408 · Cited by 17 · see citing works
“Because of their central role in the immune system, activated microglia are responsible for controlling the neuronal immunological milieu following an ischemic stroke by causing the production of a plethora of pro-inflammatory markers.(30) Following an ischemic stroke, activated microglia are responsible for the produ…”
BackgroundAdvanced brain imaging for the diagnosis of Alzheimer disease
Wang, Y.-T. T., Rosa‐Neto, P., & Gauthier, S. G. (2023) · Current Opinion in Neurology · doi:10.1097/wco.0000000000001198 · Cited by 17 · see citing works
Vollhardt, A., Frölich, L., Stockbauer, A., Danek, A., Schmitz, C., & Wahl, A.-S. (2025) · Neurobiology of Disease · doi:10.1016/j.nbd.2025.106845 · Cited by 17 · see citing works
Palleis, C., Franzmeier, N., Weidinger, E., Bernhardt, A. M., Katzdobler, S., Wall, S., Ferschmann, C., Harris, S., Schmitt, J., Schuster, S., et al. (2023) · Neurology · doi:10.1212/wnl.0000000000207901 · Cited by 18 · see citing works
Self-citationPET Imaging to Measure Neuroinflammation In Vivo
Malpetti, M., Franzmeier, N., & Brendel, M. (2024) · Methods in molecular biology · doi:10.1007/978-1-0716-3774-6_12 · Cited by 14 · see citing works
Self-citationLi, M., Guan, M., Lin, J., Zhu, K., Zhu, J., Guo, M., Li, Y., Chen, Y., Chen, Y., Zou, Y., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14046 · Cited by 9 · see citing works
“4,5 While sporadic AD is the most common form, some AD cases are inherited in anautosomal-dominantmanner,whicharetermed“familialAD.””
Ma, Y.-D., Liu, H., Chen, Q., Zheng, Y., Yan, C., Li, Y., Wang, Y., Dai, Y.-T., Jiang, Y.-H., & Shi, J. (2024) · Neuropharmacology · doi:10.1016/j.neuropharm.2024.110215 · Cited by 10 · see citing works
Amyloid-β plaque-associated microglia drive TSPO upregulation in Alzheimer’s disease
Martinez-Perez, D. A., McGlothan, J. L., Rodichkin, A. N., Abilmouna, K., Bursac, Z., Lopera, F. J., Villegas‐Lanau, C. A., & Guilarte, T. R. (2025) · Acta Neuropathologica · doi:10.1007/s00401-025-02912-4 · Cited by 10 · see citing works
The Brain Network Hub Degeneration in Alzheimer’s Disease
Jin, S., Wang, J., & Yong He, A. (2024) · Biophysics Reports · doi:10.52601/bpr.2024.230025 · Cited by 11 · see citing works
YTHDF2 alleviates microglia activation via promoting circHIPK2 degradation
Huang, R., Sun, M. H., Wang, W., Yu, X., & Liu, F. (2023) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2023.578265 · Cited by 8 · see citing works
An asiatic acid derived trisulfamate acts as a nanomolar inhibitor of human carbonic anhydrase VA
Denner, T. C., Heise, N. V., Serbian, I., Angeli, A., Supuran, C. T., & Csük, R. (2024) · Steroids · doi:10.1016/j.steroids.2024.109381 · Cited by 10 · see citing works
Zatcepin, A., Kopczak, A., Holzgreve, A., Hein, S., Schindler, A., Duering, M., Kaiser, L., Lindner, S., Schidlowski, M., Bartenstein, P., et al. (2023) · Zeitschrift für Medizinische Physik · doi:10.1016/j.zemedi.2022.11.008 · Cited by 10 · see citing works
Self-citationYang, Z., Banks, S. J., Ritter, A. R., Cummings, J. L., Sreenivasan, K. R., Kinney, J. W., Caldwell, J. K., Wong, C. G., Miller, J. B., & Cordes, D. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-230631 · Cited by 9 · see citing works
Non-invasive in vivo imaging of brain and retinal microglia in neurodegenerative diseases
Etebar, F., Harkin, D. G., White, A. R., & Dando, S. J. (2024) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2024.1355557 · Cited by 7 · see citing works
Zatcepin, A., Gnörich, J. S., Rauchmann, B., Bartos, L. M., Wagner, S., Franzmeier, N., Malpetti, M., Xiang, X., Shi, Y., Parhizkar, S., et al. (2024) · Molecular Neurodegeneration · doi:10.1186/s13024-024-00752-6 · Cited by 7 · see citing works
Self-citationLu, J., Zhou, Q., Zhu, D., Song, H., Xie, G., Zhao, X., Huang, Y., Cao, P., Wang, J., & Shen, X. (2024) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2024.11.010 · Cited by 7 · see citing works
“By considering that microglia are more vulnerable to invasion of A b than neurons or astrocytes 20 and that microglia-mediated neuroinflammation as one of the earliest pathological features in AD 21 mediates A b -Tau cascade reaction 15 , we speculated that the Kv2.”
The Common Alzheimer's Disease Research Ontology (CADRO) for biomarker categorization
Osse, A. M. L., Kinney, J., & Cummings, J. L. (2025) · Alzheimer's & Dementia · doi:10.1002/trc2.70050 · Cited by 11 · see citing works
Targeting brain connectivity in Alzheimer’s disease with repurposed drugs
Pini, L., Imbimbo, B. P., Griffa, A., Allali, G., & Pomara, N. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.103001 · Cited by 7 · see citing works
Imaging of Tauopathies with PET Ligands: State of the Art and Future Outlook
Conte, M., Feo, M. S. D., Sidrak, M. M. A., Corica, F., Gorica, J., Granese, G. M., Filippi, L., Vincentis, G. D., & Frantellizzi, V. (2023) · Diagnostics · doi:10.3390/diagnostics13101682 · Cited by 7 · see citing works
“, indeed, was conducted on 32 Aβ-positive early AD subjects and 18 healthy controls who underwent [18F]GE-180 PET scans, a thirdgeneration tracer for the detection of TSPO, and MRI imaging [16].”
Koriath, C., & Perneczky, R. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251338467 · Cited by 5 · see citing works
Self-citationNeuroinflammation demonstrated by 11 C‐ER176 PET with amyloid and tau pathology
Kandimalla, M., Lim, S., Jacobson, D. N., Lee, J., Min, P. H., Nycklemoe, M., Lee, S. B., Lundt, E. S., Botha, H., Graff‐Radford, J., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71027 · Cited by 4 · see citing works
(2022) · doi:10.1101/2022.11.12.22282082 · Cited by 4 · see citing works
Self-citationLi, S., Xiao, D., Yusufu, R., Huang, F., Feng, Y., Abudureyimu, A., Zhao, J., Jiang, H., & Wei, F. (2026) · Phytomedicine · doi:10.1016/j.phymed.2026.158299 · Cited by 4 · see citing works
Chen, Y., Veenman, L., Liao, M., Huang, W., Yu, J., & Zeng, J. (2023) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x231214671 · Cited by 3 · see citing works
Visualization of Thromboinflammation by 18F-DPA-714 PET in a Stroke Patient.
Lin, Q., Wang, Y., Zhao, W., & Yao, S.-B. (2023) · Clinical Nuclear Medicine · doi:10.1097/rlu.0000000000004803 · Cited by 2 · see citing works
Toloknieiev, A., Voitsekhivskyi, D., Kholodkov, H., Lvovich, R., Matiushko, P., Rekretiuk, D., Dikhtiar, A., Viter, A., Pokras, V., Wunderlich, S., et al. (2025) · NeuroImage Clinical · doi:10.1016/j.nicl.2025.103856 · Cited by 2 · see citing works
Self-citationKunte, S. T., Gnörich, J. S., Beumers, P., Bartos, L. M., Wagner, S., Wind-Mark, K., Holzgreve, A., Pötter, D., Werner, R. A., Ziegler, S. I., et al. (2025) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2025.1572431 · Cited by 2 · see citing works
Self-citationKjeldsen, P. L., Madsen, L. S., Parbo, P., Ismail, R., Aanerud, J., Kaasing, M., Damholdt, M. F., Eskildsen, S. F., Østergaard, L., & Brooks, D. J. (2026) · Frontiers in Dementia · doi:10.3389/frdem.2025.1745571 · Cited by 2 · see citing works
Analysis of Resting-State Functional Magnetic Resonance Imaging in Alzheimer’s Disease
Ersözlü, E., & Rauchmann, B. (2024) · Methods in molecular biology · doi:10.1007/978-1-0716-3774-6_7 · Cited by 2 · see citing works
Self-citationCasalechi, M., Cruz, C. D., de Assis, W. A., Vieira‐Lopes, M., Lopes, F. E. F., Francisco, A. M. C., & dos Reis, F. M. (2024) · Cell Biology International · doi:10.1002/cbin.12157 · Cited by 2 · see citing works
“PET ‐ Scan with TSPO ligands has been clinically used to evaluate neurological conditions such as depression (Eggerstorfer et al., 2022), Alzheimer's disease (Rauchmann et al., 2022), and hypothalamic inflammation (Butler et al., 2022).”
MethodCombined 64-channel EEG and PET evaluation of lecanemab efficacy: Two case reports
Wang, X., Wang, X., Liu, Y., et al. (2025) · Journal of Alzheimer s Disease Reports · doi:10.1177/25424823251395615 · Cited by 2 · see citing works
Zhou, S., Xu, L., Dong, J., Zhang, X., Gao, W., Luo, H., & Fang, X. (2026) · Phytotherapy Research · doi:10.1002/ptr.70249 · Cited by 2 · see citing works
“Furthermore, the extent of this activation is often positively correlated with Aβ load, tau tangle density, and the severity of cognitive impairment (Crook et al. 2023; Rauchmann et al. 2022).”
Dai, Y.-T., Chen, Q., Ma, Y.-D., Liu, H., Zheng, H., Zhu, Y.-Y., Gao, L., Zhao, Q., Bai, J.-L., Fan, Y.-C., et al. (2026) · Neuropharmacology · doi:10.1016/j.neuropharm.2026.110887 · Cited by 1 · see citing works
Kurz, C., Hattenkofer, D., Pihale-Haug, M., Hufnagel, A., Guersel, S., Brendel, M., Rauchmann, B., Levin, J., Höglinger, G. U., & Perneczky, R. (2026) · Aging Clinical and Experimental Research · doi:10.1007/s40520-026-03420-5 · Cited by 2 · see citing works
Self-citationPini, L., Salvalaggio, A., & Corbetta, M. (2023) · Neural Regeneration Research · doi:10.4103/1673-5374.385292 · Cited by 1 · see citing works
Ibrahim, W., An, J., Yang, Y., Cosgrove, K., & Matuskey, D. (2024) · Neuroscience Letters · doi:10.1016/j.neulet.2024.137766 · Cited by 1 · see citing works
Risen, S. J., Wahl, D., LaRocca, T. J., & Moreno, J. A. (2025) · Neuroglia · doi:10.3390/neuroglia6020022 · Cited by 1 · see citing works
“[165,166] (CCL2 and CCL5) [131,132] Oxidative stress from ROS Genetic mutations amplify inflammation and The following section will examine how oligodendrocytes respond to and contribute to ADRD pathogenesis, their interactions with other glial populations, and how myelin dysfunction influences…”
Neudecker, V., Perez‐Zoghbi, J. F., & Brambrink, A. M. (2024) · Journal of Immunological Sciences · doi:10.29245/2578-3009/2024/2.1255
Rauchmann, B., Hamet, J., Lai, J., Kafi, H. I., Rexwinkle, J. T., Brendel, M., Franzmeier, N., Kurz, C., Pogarell, O. M., Levin, J., et al. (2025) · medRxiv · doi:10.1101/2025.07.08.25331158
Self-citationNeuroinflammation PET and long-term cognition and survival in symptomatic Alzheimer’s disease
Rikken, R. M., Yaqub, M. M., Coomans, E. M., Dicks, E., van der Vlies, A. E., Windhorst, A. D., Boellaard, R., Pijnenburg, Y. A. L., Vijverberg, E. G. B., & van de Giessen, E. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01915-3
“…overlooked by the PCA, we included an additional AD-related ROI in a secondary analysis composed of regions previously implicated in neuroinflammation in AD (parietal cortex, hippocampus, entorhinal cortex, medial inferior temporal cortex, superior temporal cortex, posterior cingulate) [5, 6, 22].”
Elevation in network dynamics amplifies amyloid‐dependent tau pathology
Li, J., Yi, Y., Gan, L., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71354
“52,53 Notably, microglial activity preferentially localizes along functionally connected brain regions 54 and has been identified as an independent driver of both A β deposition and cortical atrophy in AD.”
Rauchmann, B., Hamet, J., Lai, J., et al. (2026) · Alzheimer s Research & Therapy · doi:10.1186/s13195-026-02076-7
“The data used in this study originate from the base-line dataset of the ActiGliA study, a prospective, longitudinal observational study within the Munich Cluster for Systems Neurology (SyNergy) at Ludwig-Maximilians-University (LMU) Munich, initiated in 2017 [32].”
Self-citationPerri, D., & Amato, N. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-30497-1_12
Health-related factors and their impact on blood-based biomarkers of Alzheimer's disease
Kurz, C., Taute, M., Tegethoff, P., Hufnagel, A., Leonhardt, S., Guersel, S., Koriath, C., Jethwa, A., Kollmorgen, G., Bittner, T., et al. (2026) · Aging Brain · doi:10.1016/j.nbas.2026.100166
“[38] [32] Blood sampling and sample handling were performed according to standardized operating procedures as previously described.”
Self-citationÖchsner, M., Brendel, M., Franzmeier, N., Trappmann, L., Zaganjori, M., Ersoezlue, E., Kurz, C., Haeckert, J., Utecht, J., Schirge, P. M., et al. (2026) · Alzheimer s Research & Therapy · doi:10.1186/s13195-026-02230-1
“…included in this study are part of the prospective cohort study “Activity of Cerebral Networks, Amyloid and Microglia in Aging and Alzheimer’s Dis-ease” (ActiGliA), of the Munich Cluster for Systems Neuroscience at the Ludwig Maximilian University (LMU) Hospital Munich, Germany [30, 33].”
InfluentialSelf-citation
- Authors
- Rauchmann, B., Brendel, M., Franzmeier, N., Trappmann, L., Zaganjori, M., Ersoezlue, E., Morenas‐Rodriguez, E., Guersel, S., Burow, L., Kurz, C., Haeckert, J., Tatò, M., Utecht, J., Papazov, B., Pogarell, O., Janowitz, D., Buerger, K., Ewers, M., Palleis, C., Weidinger, E., Biechele, G., Schuster, S., Finze, A., Eckenweber, F., Rupprecht, R., Rominger, A., Goldhardt, O., Grimmer, T., Keeser, D., Stoecklein, S., Dietrich, O., Bartenstein, P., Levin, J., Höglinger, G., & Perneczky, R.
- Affiliations
- German Center for Neurodegenerative Diseases (DE)
- Munich Cluster for Systems Neurology (DE)
- Institut für Schlaganfall- und Demenzforschung (DE)
- Ludwig-Maximilians-Universität München (DE)
- German Center for Neurodegenerative Diseases Munich Germany
- University of Augsburg (DE)
- University of Regensburg (DE)
- University of Bern (CH)
- TUM Klinikum (DE)
- Corresponding author
- Perneczky, Robert
- ORCID
- Rauchmann, Boris‐Stephan
- Brendel, Matthias
- Franzmeier, Nicolai
- Zaganjori, Mirlind
- Ersoezlue, Ersin
- Guersel, Selim
- Kurz, Carolin
- Haeckert, Jan
- Tatò, Maia
- Papazov, Boris
- Pogarell, Oliver
- Janowitz, Daniel
- Ewers, Michael
- Palleis, Carla
- Weidinger, Endy
- Biechele, Gloria
- Schuster, Sebastian
- Finze, Anika
- Rupprecht, Rainer
- Rominger, Axel
- Goldhardt, Oliver
- Grimmer, Timo
- Keeser, Daniel
- Stoecklein, Sophia
- Dietrich, Olaf
- Levin, Johannes
- Höglinger, Günter
- Perneczky, Robert
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2022-08-25
- Volume
- 92
- Issue
- 5
- Pages
- 768-781
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- OpenAlex
- W4289344793
- Semantic Scholar
- 3dc05209e71555465f7b95a4c6a8430b78f3991b
- Cited by
- 61
- References
- 67
- Citations by year
- 2026: 11 · 2025: 14 · 2024: 20 · 2023: 14 · 2022: 2
- FWCI
- 3.55
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Annals of Neurology (publishedVersion, cc-by-nc)
- medRxiv (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- University of Regensburg Publication Server (University of Regensburg) (acceptedVersion)
- BORIS (University Library Bern) (submittedVersion, cc-by-nc)
- Open access LMU (Ludwid Maxmilian's Universitat Munchen) (submittedVersion, cc-by-nc)
- mediaTUM (Technical University of Munich) (submittedVersion)
- DZNE Pub (submittedVersion, other-oa)
- OPUS (Augsburg University) (submittedVersion, cc-by-nc)
- University of Regensburg Publication Server (University of Regensburg)
- Funders
- Deutsche Forschungsgemeinschaft (EXC 2145, EXC 2145SyNergy, 390857198)
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Topics
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Alzheimer's disease, microglial activation, neuroinflammation, amyloid-beta, tau pathology, brain connectivity, resting-state functional connectivity, structural connectivity, translocator protein (TSPO), [18F]GE-180, amyloid PET, dementia severity, cognitive impairment
- MeSH terms
- Alzheimer Disease, Brain, Female, Humans, Ligands, Male, Prospective Studies, Amyloid beta-Peptides, tau Proteins, Microglia, Receptors, GABA, Positron-Emission Tomography, Plaque, Amyloid
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 2026-10-27.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-27.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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