scispace - formally typeset
A

Andreas Bender

Researcher at Ludwig Maximilian University of Munich

Publications -  138
Citations -  5613

Andreas Bender is an academic researcher from Ludwig Maximilian University of Munich. The author has contributed to research in topics: Minimally conscious state & Mitochondrial DNA. The author has an hindex of 34, co-authored 127 publications receiving 4699 citations. Previous affiliations of Andreas Bender include University of California, San Diego & University of Oxford.

Papers
More filters
Journal ArticleDOI

High levels of mitochondrial DNA deletions in substantia nigra neurons in aging and Parkinson disease.

TL;DR: It is shown that in substantia nigra neurons from both aged controls and individuals with Parkinson disease, there is a high level of deleted mitochondrial DNA, suggesting that somatic mtDNA deletions are important in the selective neuronal loss observed in brain aging and in Parkinson disease.
Journal ArticleDOI

A pharmacological model for psychosis based on N-methyl-D-aspartate receptor hypofunction : Molecular, cellular, functional and behavioral abnormalities

TL;DR: Animal models for psychosis based on a glutamatergic approach have a significant potential of serving as a model of the pathobiology of several aspects of psychosis and consequently could contribute to the development of new therapeutic strategies.
Journal ArticleDOI

Creatine supplementation in Parkinson disease: a placebo-controlled randomized pilot trial.

TL;DR: Creatine improved patient mood and led to a smaller dose increase of dopaminergic therapy but had no effect on overall Unified Parkinson's Disease Rating Scale scores or dopamine transporter SPECT.
Journal ArticleDOI

Expression analysis of dopaminergic neurons in Parkinson's disease and aging links transcriptional dysregulation of energy metabolism to cell death

TL;DR: In this article, the authors used a laser capture microdissection to isolate dopamine neurons from the substantia nigra pars compacta of PD patients, age-matched and young controls to determine transcriptional changes by expression profiling and pathway analysis.