2021: Deeper Understanding the Better Treatment with HBImed Database

Abstract:
Normative electroencephalography (EEG) databases are able to continually evolve as subjects are added and research projects ensue HBImed is committed to ongoing research to advance the field and understanding of EEG and ERPs. In addition to the skills associated with reading raw EEG, a database can provide clinicians with insights that guide treatment. This workshop will provide an overview of how the HBImed database was developed and has evolved to include gender differentiation and a model of dynamic age comparison. Research associated with the development of various indices (e.g., new insights in Theta/Beta ratio, arousal, central sensory, ADJD) and ERPs will be presented and discussed: The inclusion of artificial intelligence in the diagnostic process using large groups of patients with ADHD, emotion regulation dysfunctions, bipolar disorder, and schizophrenia will be presented and discussed in the context of single case analysis using the HBImed database. Also presented at the individual case level is a new cortical network analysis: The loading of different cortical networks in ADHD (prefrontal cortex, cingulate system, and limbic system) is also useful today in the context of the application. We will further address the understanding of ERPs, which provide perhaps the most robust understanding of the brain’s processing mechanisms. In addition, new possibilities with respect to diagnostics will be discussed and new approaches regarding arousal modulation during the information processing will be highlighted.

Especially significant are the treatment options emerging from the data analysis, which include everyday strategies and medication as well as the definition of neuromodulation and neurostimulation (neurofeedback, tdcs and TMS) and other psychotherapeutic techniques.
Experience shows that this allows medication to be used much more accurately. This brings us closer to the concepts of personalized medicine or to the new possibilities made possible by the use of data analysis developed according to modern principles.

Presented by: Andreas Muller, Diana Martinez-Huerta, Angelika Sadar & Leon Morales-Quezada

Category:

$60.00

Abstract:
Normative electroencephalography (EEG) databases are able to continually evolve as subjects are added and research projects ensue HBImed is committed to ongoing research to advance the field and understanding of EEG and ERPs. In addition to the skills associated with reading raw EEG, a database can provide clinicians with insights that guide treatment. This workshop will provide an overview of how the HBImed database was developed and has evolved to include gender differentiation and a model of dynamic age comparison. Research associated with the development of various indices (e.g., new insights in Theta/Beta ratio, arousal, central sensory, ADJD) and ERPs will be presented and discussed: The inclusion of artificial intelligence in the diagnostic process using large groups of patients with ADHD, emotion regulation dysfunctions, bipolar disorder, and schizophrenia will be presented and discussed in the context of single case analysis using the HBImed database. Also presented at the individual case level is a new cortical network analysis: The loading of different cortical networks in ADHD (prefrontal cortex, cingulate system, and limbic system) is also useful today in the context of the application. We will further address the understanding of ERPs, which provide perhaps the most robust understanding of the brain’s processing mechanisms. In addition, new possibilities with respect to diagnostics will be discussed and new approaches regarding arousal modulation during the information processing will be highlighted.

Especially significant are the treatment options emerging from the data analysis, which include everyday strategies and medication as well as the definition of neuromodulation and neurostimulation (neurofeedback, tdcs and TMS) and other psychotherapeutic techniques.
Experience shows that this allows medication to be used much more accurately. This brings us closer to the concepts of personalized medicine or to the new possibilities made possible by the use of data analysis developed according to modern principles.

Presented by: Andreas Muller, Diana Martinez-Huerta, Angelika Sadar & Leon Morales-Quezada

2021: Deeper Understanding the Better Treatment with HBImed Database
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