According to the WHO, 1 in 4 people will be affected by mental illness or a neurological disorder at some point in their lives. It is no wonder, then, that neuroscience is one of the most heavily funded fields of science. A better understanding of neurological disease is critical, but the physiologic underpinnings are often complex. Researchers and instrumentation companies alike are stepping up to the challenge, improving the methods and tools used for neuroscience research and allowing for unprecedented discovery.

Data Sciences International’s (DSI) white paper, ‘In Vivo Research Approaches in the Study of Neurological Disease and Psychiatric Disorders’ provides a high level summary of key neurological disorders that are significant to today’s space, including:

  • Alzheimer’s disease
  • Epilepsy
  • Mood disorders
  • Traumatic Brain Injury
  • Movement disorders
  • Autism
  • Schizophrenia
  • Attention deficit hyperactivity disorder

For each illness, the white paper provides key background information, a list of suggested research references, and discusses key in vivo physiological endpoints, such as changes in EEG patterns, sleep abnormalities and respiratory failure. The final section of this paper describes essential technologies used in neuroscience research and how they can be used in tandem to study these physiologic endpoints of interest. These technologies include:

  • Wireless telemetry
  • Video-EEG
  • Physiological data acquisition and analysis systems
  • Software and hardware to measure and assess pulmonary function
  • Software for sleep scoring and seizure detection

This white paper would be most valuable to researchers interested in learning more about how the most common neurological diseases and psychiatric disorders are studied, and what technologies are available to help them meet their research objectives.

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