Advancements in Neuroscience Research: A Compilation of Original Studies

Edited by Andres Costa and Eugenio Villalba, this comprehensive volume presents cutting-edge research in the field of neuroscience. The carefully curated selection of articles spans a broad spectrum, covering the latest findings and breakthroughs in the field.

Groundbreaking Research in Neuroprotection and Neurotoxicity

One of the significant areas of focus in this compilation is the neuroprotective effects of N-acetylcysteine. The research highlights its potential in treating addictive disorders and provides insight into the neurotoxic and inflammatory mediators elicited by astrocytes and microglia in response to myelin basic protein (MBP).

Advances in Neuroimaging and Neurocircuitry

The volume also delves into the latest neuroimaging advances in the neurocircuitry of post-traumatic disorder (PTSD), providing a deeper understanding of the complexities of this condition. Additionally, it explores invasive and non-invasive monitoring of intracranial pressure, shedding light on the importance of accurate diagnosis and treatment.

Basal Ganglia and Neurological Soft Signs in Schizophrenia

The research presented in this volume also investigates the relationship between basal ganglia and neurological soft signs in schizophrenia, offering valuable insights for clinicians and researchers alike.

Iron-Oxide Deposits and Neuronal Cell Regeneration

Furthermore, the compilation examines the role of magnetic and non-magnetic iron-oxide deposits in basal ganglia, as well as neuronal cell regeneration in the olfactory bulb. These findings have significant implications for our understanding of neuronal function and development.

Objective Diagnosis of Neuronal Diseases using EEG Processing

The volume also presents innovative approaches to EEG processing and feature extraction for the objective diagnosis of neuronal diseases such as ADHD. This research has the potential to revolutionize the field of neurodiagnostics.

fMRI Images Processing with Machine Learning Techniques

Finally, the compilation explores the application of machine learning techniques in fMRI images processing, highlighting the promising possibilities of this intersection of neuroscience and artificial intelligence.

Publication details: ISBN-13: 9781626189645, Published by Nova Science Pub Inc, Publication date: October 19, 2013.