In order to investigate the role of cytoskeletal genes in Alzheimer's disease(AD), we studied the expression of genes coding for actin, tubulin and neurofilament genes in brain tissues from Alzeimer's disease patients and normal controls using northern blot analysis. Analysis of neurofilament genes was performed by southern blot analysis. Our results show a more than 95% decrease in the expression of gene coding for the medium size subunit (160Kd) of neurofilament protein in the brain tissues of AD patients compared to the control individuals. We observe an 86% decrease in the expression of the small subunit (68Kd) of neurofilament gene in AD patients where as the expression of other cytoskeletal genes Actin and tubulin did not show any significant decrease. No major alterations of the gene coding for neurofilament M subunit were seen on Southern blot analysis. We conclude that an abnormality of neurofilament gene expression may explain some of the pathological features seen in AD.

Understanding how people rate their confidence is critical for the characterization of a wide range of perceptual, memory, motor and cognitive processes. To enable the continued exploration of these processes, we created a large database of confidence studies spanning a broad set of paradigms, participant populations and fields of study. The data from each study are structured in a common, easy-to-use format that can be easily imported and analysed using multiple software packages. Each dataset is accompanied by an explanation regarding the nature of the collected data. At the time of publication, the Confidence Database (which is available at https://osf.io/s46pr/) contained 145 datasets with data from more than 8,700 participants and almost 4 million trials. The database will remain open for new submissions indefinitely and is expected to continue to grow. Here we show the usefulness of this large collection of datasets in four different analyses that provide precise estimations of several foundational confidence-related effects.

Understanding how people rate their confidence is critical for the characterization of a wide range of perceptual, memory, motor and cognitive processes. To enable the continued exploration of these processes, we created a large database of confidence studies spanning a broad set of paradigms, participant populations and fields of study. The data from each study are structured in a common, easy-to-use format that can be easily imported and analysed using multiple software packages. Each dataset is accompanied by an explanation regarding the nature of the collected data. At the time of publication, the Confidence Database (which is available at https://osf.io/s46pr/) contained 145 datasets with data from more than 8,700 participants and almost 4 million trials. The database will remain open for new submissions indefinitely and is expected to continue to grow. Here we show the usefulness of this large collection of datasets in four different analyses that provide precise estimations of several foundational confidence-related effects.