Cerebral tau deposition in co-morbid progressive supranuclear palsy and amyotrophic lateral sclerosis: an [18F]-flortaucipir and 7T MRI study
Conclusion In vivo tau PET imaging of an individual with PSP-ALS overlap demonstrated increased tau burden in the motor cortex that was not observed in PSP-RS or control participants. Consistent with prior PET studies, tau burden in PSP-RS was mainly observed in subcortical regions, including the brainstem and basal ganglia. QSM data suggest that off-target binding to iron may account for some but not all of the increased [18F]-flortaucipir uptake in the basal ganglia in PSP-RS. These findings support existing evidence that tau PET imaging can distinguish among PSP subtypes by detecting distinct regional patterns of tau de...
Source: Neuro-Degenerative Diseases - March 25, 2024 Category: Neurology Authors: Ian Cheong Yong Du Gwenn Smith Jun Hua Xu Li Alexander Pantelyat Source Type: research
Cerebral tau deposition in co-morbid progressive supranuclear palsy and amyotrophic lateral sclerosis: an [18F]-flortaucipir and 7T MRI study
Conclusion In vivo tau PET imaging of an individual with PSP-ALS overlap demonstrated increased tau burden in the motor cortex that was not observed in PSP-RS or control participants. Consistent with prior PET studies, tau burden in PSP-RS was mainly observed in subcortical regions, including the brainstem and basal ganglia. QSM data suggest that off-target binding to iron may account for some but not all of the increased [18F]-flortaucipir uptake in the basal ganglia in PSP-RS. These findings support existing evidence that tau PET imaging can distinguish among PSP subtypes by detecting distinct regional patterns of tau de...
Source: Neuro-Degenerative Diseases - March 25, 2024 Category: Neurology Authors: Ian Cheong Yong Du Gwenn Smith Jun Hua Xu Li Alexander Pantelyat Source Type: research
Cerebral tau deposition in co-morbid progressive supranuclear palsy and amyotrophic lateral sclerosis: an [18F]-flortaucipir and 7T MRI study
Conclusion In vivo tau PET imaging of an individual with PSP-ALS overlap demonstrated increased tau burden in the motor cortex that was not observed in PSP-RS or control participants. Consistent with prior PET studies, tau burden in PSP-RS was mainly observed in subcortical regions, including the brainstem and basal ganglia. QSM data suggest that off-target binding to iron may account for some but not all of the increased [18F]-flortaucipir uptake in the basal ganglia in PSP-RS. These findings support existing evidence that tau PET imaging can distinguish among PSP subtypes by detecting distinct regional patterns of tau de...
Source: Neuro-Degenerative Diseases - March 25, 2024 Category: Neurology Authors: Ian Cheong Yong Du Gwenn Smith Jun Hua Xu Li Alexander Pantelyat Source Type: research
Cerebral tau deposition in co-morbid progressive supranuclear palsy and amyotrophic lateral sclerosis: an [18F]-flortaucipir and 7T MRI study
Conclusion In vivo tau PET imaging of an individual with PSP-ALS overlap demonstrated increased tau burden in the motor cortex that was not observed in PSP-RS or control participants. Consistent with prior PET studies, tau burden in PSP-RS was mainly observed in subcortical regions, including the brainstem and basal ganglia. QSM data suggest that off-target binding to iron may account for some but not all of the increased [18F]-flortaucipir uptake in the basal ganglia in PSP-RS. These findings support existing evidence that tau PET imaging can distinguish among PSP subtypes by detecting distinct regional patterns of tau de...
Source: Neuro-Degenerative Diseases - March 25, 2024 Category: Neurology Authors: Ian Cheong Yong Du Gwenn Smith Jun Hua Xu Li Alexander Pantelyat Source Type: research
Predicting the rapid progression of mild cognitive impairment by intestinal flora and blood indicators through machine learning method
CONCLUSION: The 15 features (including intestinal flora abundance) could establish an effective model for predicting rapid MCI progression.PMID:38417411 | DOI:10.1159/000538023 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - February 28, 2024 Category: Neurology Authors: Lingling Wang Jing Yan Huiqin Liu Xiaohui Zhao Haihan Song Juan Yang Source Type: research
Predicting the rapid progression of mild cognitive impairment by intestinal flora and blood indicators through machine learning method
CONCLUSION: The 15 features (including intestinal flora abundance) could establish an effective model for predicting rapid MCI progression.PMID:38417411 | DOI:10.1159/000538023 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - February 28, 2024 Category: Neurology Authors: Lingling Wang Jing Yan Huiqin Liu Xiaohui Zhao Haihan Song Juan Yang Source Type: research
Predicting the rapid progression of mild cognitive impairment by intestinal flora and blood indicators through machine learning method
CONCLUSION: The 15 features (including intestinal flora abundance) could establish an effective model for predicting rapid MCI progression.PMID:38417411 | DOI:10.1159/000538023 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - February 28, 2024 Category: Neurology Authors: Lingling Wang Jing Yan Huiqin Liu Xiaohui Zhao Haihan Song Juan Yang Source Type: research
Predicting the rapid progression of mild cognitive impairment by intestinal flora and blood indicators through machine learning method
CONCLUSION: The 15 features (including intestinal flora abundance) could establish an effective model for predicting rapid MCI progression.PMID:38417411 | DOI:10.1159/000538023 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - February 28, 2024 Category: Neurology Authors: Lingling Wang Jing Yan Huiqin Liu Xiaohui Zhao Haihan Song Juan Yang Source Type: research
Predicting the rapid progression of mild cognitive impairment by intestinal flora and blood indicators through machine learning method
CONCLUSION: The 15 features (including intestinal flora abundance) could establish an effective model for predicting rapid MCI progression.PMID:38417411 | DOI:10.1159/000538023 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - February 28, 2024 Category: Neurology Authors: Lingling Wang Jing Yan Huiqin Liu Xiaohui Zhao Haihan Song Juan Yang Source Type: research
Predicting the rapid progression of mild cognitive impairment by intestinal flora and blood indicators through machine learning method
CONCLUSION: The 15 features (including intestinal flora abundance) could establish an effective model for predicting rapid MCI progression.PMID:38417411 | DOI:10.1159/000538023 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - February 28, 2024 Category: Neurology Authors: Lingling Wang Jing Yan Huiqin Liu Xiaohui Zhao Haihan Song Juan Yang Source Type: research
Predicting the rapid progression of mild cognitive impairment by intestinal flora and blood indicators through machine learning method
CONCLUSION: The 15 features (including intestinal flora abundance) could establish an effective model for predicting rapid MCI progression.PMID:38417411 | DOI:10.1159/000538023 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - February 28, 2024 Category: Neurology Authors: Lingling Wang Jing Yan Huiqin Liu Xiaohui Zhao Haihan Song Juan Yang Source Type: research
Predicting the rapid progression of mild cognitive impairment by intestinal flora and blood indicators through machine learning method
CONCLUSION: The 15 features (including intestinal flora abundance) could establish an effective model for predicting rapid MCI progression.PMID:38417411 | DOI:10.1159/000538023 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - February 28, 2024 Category: Neurology Authors: Lingling Wang Jing Yan Huiqin Liu Xiaohui Zhao Haihan Song Juan Yang Source Type: research
Predicting the rapid progression of mild cognitive impairment by intestinal flora and blood indicators through machine learning method
CONCLUSION: The 15 features (including intestinal flora abundance) could establish an effective model for predicting rapid MCI progression.PMID:38417411 | DOI:10.1159/000538023 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - February 28, 2024 Category: Neurology Authors: Lingling Wang Jing Yan Huiqin Liu Xiaohui Zhao Haihan Song Juan Yang Source Type: research
Predicting the rapid progression of mild cognitive impairment by intestinal flora and blood indicators through machine learning method
CONCLUSION: The 15 features (including intestinal flora abundance) could establish an effective model for predicting rapid MCI progression.PMID:38417411 | DOI:10.1159/000538023 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - February 28, 2024 Category: Neurology Authors: Lingling Wang Jing Yan Huiqin Liu Xiaohui Zhao Haihan Song Juan Yang Source Type: research
Predicting the rapid progression of mild cognitive impairment by intestinal flora and blood indicators through machine learning method
CONCLUSION: The 15 features (including intestinal flora abundance) could establish an effective model for predicting rapid MCI progression.PMID:38417411 | DOI:10.1159/000538023 (Source: Neuro-Degenerative Diseases)
Source: Neuro-Degenerative Diseases - February 28, 2024 Category: Neurology Authors: Lingling Wang Jing Yan Huiqin Liu Xiaohui Zhao Haihan Song Juan Yang Source Type: research
