complex(HBP:"alpha-4 beta-2 nAChR")
The most intense accumulation of 5-I-A-85380 was detected in both thalami, pons and midbrain, and both nuclei lentiformes PubMed:24762290
We found high correlation coefficients for four brain regions (right superior parietal lobule, left thalamus, right pos- terior subcortical region, and left posterior subcor- tical region) and two CERAD subtests (Word List Intrusions and Boston Naming Test), some of them were statistically significant. PubMed:24762290
The right cerebellar white matter revealed a sig- nificantly higher 5-I-A-85380 uptake than the left cerebellar white matter. PubMed:24762290
The most intense accumulation of 5-I-A-85380 was detected in both thalami, pons and midbrain, and both nuclei lentiformes PubMed:24762290
The most intense accumulation of 5-I-A-85380 was detected in both thalami, pons and midbrain, and both nuclei lentiformes PubMed:24762290
The most intense accumulation of 5-I-A-85380 was detected in both thalami, pons and midbrain, and both nuclei lentiformes PubMed:24762290
We found high correlation coefficients for four brain regions (right superior parietal lobule, left thalamus, right pos- terior subcortical region, and left posterior subcor- tical region) and two CERAD subtests (Word List Intrusions and Boston Naming Test), some of them were statistically significant. PubMed:24762290
Furthermore, we studied in these 17 IPD patients (at Hoehn and Yahr stage 1 and 2) whether there were differences of the a4b2 nAchR densities in the brain hemisphere contralateral to the clinically more affected body side (=contralat- eral hemisphere) compared to the brain hemi- sphere ipsilateral to the clinically more affected body side (=ipsilateral hemisphere). PubMed:24762290
We found high correlation coefficients for four brain regions (right superior parietal lobule, left thalamus, right pos- terior subcortical region, and left posterior subcor- tical region) and two CERAD subtests (Word List Intrusions and Boston Naming Test), some of them were statistically significant. PubMed:24762290
The most intense accumulation of 5-I-A-85380 was detected in both thalami, pons and midbrain, and both nuclei lentiformes PubMed:24762290
We found high correlation coefficients for four brain regions (right superior parietal lobule, left thalamus, right pos- terior subcortical region, and left posterior subcor- tical region) and two CERAD subtests (Word List Intrusions and Boston Naming Test), some of them were statistically significant. PubMed:24762290
The most intense accumulation of 5-I-A-85380 was detected in both thalami, pons and midbrain, and both nuclei lentiformes PubMed:24762290
The most intense accumulation of 5-I-A-85380 was detected in both thalami, pons and midbrain, and both nuclei lentiformes PubMed:24762290
The most intense accumulation of 5-I-A-85380 was detected in both thalami, pons and midbrain, and both nuclei lentiformes PubMed:24762290
The right cerebellar white matter revealed a sig- nificantly higher 5-I-A-85380 uptake than the left cerebellar white matter. PubMed:24762290
Furthermore, we studied in these 17 IPD patients (at Hoehn and Yahr stage 1 and 2) whether there were differences of the a4b2 nAchR densities in the brain hemisphere contralateral to the clinically more affected body side (=contralat- eral hemisphere) compared to the brain hemi- sphere ipsilateral to the clinically more affected body side (=ipsilateral hemisphere). PubMed:24762290
We found high correlation coefficients for four brain regions (right superior parietal lobule, left thalamus, right pos- terior subcortical region, and left posterior subcor- tical region) and two CERAD subtests (Word List Intrusions and Boston Naming Test), some of them were statistically significant. PubMed:24762290
We found high correlation coefficients for four brain regions (right superior parietal lobule, left thalamus, right pos- terior subcortical region, and left posterior subcor- tical region) and two CERAD subtests (Word List Intrusions and Boston Naming Test), some of them were statistically significant. PubMed:24762290
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If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.