Related Experiment Video
Updated: Aug 14, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
The quest for brain disorder biomarkers
Christoph W Turck1, Giuseppina Maccarrone, Eser Sayan-Ayata
1Max Planck Institute of Psychiatry, Molecular, Cellular, Clinical Proteomics, Munich, Germany.
Abstract:
The identification of disease markers in tissues and body fluids requires an extensive and thorough analysis of its protein constituents. In our efforts to identify biomarkers for affective and neurological disorders we are pursuing several different strategies. On one hand we are using animal models that represent defined phenotypes characteristic for the respective disorder in humans. In addition, we are analyzing human specimens from carefully phenotyped patient groups. Several fractions representing different protein classes from human cerebrospinal fluid obtained by lumbar puncture are used for this purpose. Our biomarker identification efforts range from classical proteomics approaches such as two dimensional gel electrophoresis and mass spectrometry to phage display screens with cerebrospinal fluid antibodies.
More Related Videos
10:02Event Related Potentials (ERPs) and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder (ADHD)
Published on: March 12, 2020
04:25Manual Segmentation of the Human Choroid Plexus Using Brain MRI
Published on: December 15, 2023
Related Concept Videos
Biological Causes of Schizophrenia
Genetic Factors in Schizophrenia
The genetic basis of schizophrenia is strongly supported by family and twin studies.
Gut-Brain Axis