Cognitive and Behavioral Neuroscience

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Cognitive and Behavioral Neuroscience

Background

The cognitive and behavioral neuroscience concentration focuses on studying biological substrates of behavior. Cognitive and behavioral neuroscience seeks to determine, understand, and examine the links between neural activity and perception, basic behaviors, and high-level cognitive function using multiple tools ranging from single-unit physiology to functional magnetic resonance imaging (fMRI) and electroencephalography (EEG).

Thirty years ago, cognitive neuroscience was beginning to emerge as a new field of research. At the time, behavioral neuroscience was well established as physiological psychology and systems neuroscience was forming. The former focused on brain-behavior relations, whereas the latter was concerned with the neural circuits involved in specific structures. Behavioral neuroscience brought with it an increasing knowledge of the functional roles of various subcortical structures and neurotransmitters. Both subdisciplines would come to play key roles in cognitive neuroscience, yet their primary sources of evidence came from animal studies.

Definitions

Cognitive and Behavioral Neuroscience
  • Cognitive neuroscience: This is a scientific area involving the research of biological processes and cognitive basis, with special attention to the brain neural connection related to the psychological process. Cognitive neuroscience is a branch of neuroscience and psychology, which depends on the theory of cognitive science, evidence from neurobiology, and computational modeling.
  • Behavioral neuroscience: Also known as biopsychology or psychobiology, which applies biological principles to the study of physiological, genetic, and developmental mechanisms of human and other animal behavior.

Research Methods

Approaches to cognitive neuroscience include experimental procedures from psychophysics and functional neuroimaging, cognitive genomics, cognitive psychology, electrophysiology, and behavioral genetics.

Cognitive Neuroscience Methods. Fig.1 Cognitive Neuroscience Methods. (Zheng, 2019)

The remarkable feature of behavioral neuroscience experiments is that the independent variable or one of the dependent variables of the experiment is biological. In other words, the nervous system of the studied organism is permanently or temporarily changed, or some aspects of the nervous system are measured. Major approaches include loss or reduction of nerve function, enhancement of neural function, measurement of neural activity, genetic techniques, and computational modeling.

Development of Cognitive and Behavioral Neuroscience

The single-case study approach, combined with developing theory within cognitive psychology, has yielded a more detailed understanding of the functional architecture underlying a range of cognitive processes. In behavioral neuroscience, there has been much progress, for example, in understanding the role and function of subcortical structures, the mechanisms that support neural plasticity and their consequences, and the effects of specific genes on brain function.

The emergence and development of brain imaging techniques and methods have an important impact on understanding cognitive potential. Scientists used positron emission tomography (PET) to measure differences in regional cerebral blood flow (rCBF) during cognitive processing. Critically, it was argued that rCBF changes in brain regions mirrored the functioning of those regions during cognitive tasks. PET was dependent on the use of radioactive tracers. A second imaging technique, functional magnetic resonance imaging (fMRI), overcame some of the problems arising from this dependence. Most critically, fMRI detects differences in blood oxygenation, a variable that relates in a complex and yet not well understood way to neural activity, without the need for a radioactive tracer.

Technically, it is now possible to combine fMRI, for instance, with other methods, including TMS, EEG, and NIRS. There is also increasing use of techniques such as diffusion weighted imaging and dynamic causal modeling to establish effective connectivity within the brain, and the application of priming and multivariate pattern recognition is beginning to enable us to explain the innards of modules.

As experts in the field of neuroscience, Creative Biolabs has extensive experience in developing technologies for the study of cognitive and behavioral neuroscience. Please contact us for more flexible solutions.

Reference

  1. Zheng, X.M. Research on digital news distribution based on cognitive neuroscience. Translational Neuroscience, vol. 10, no. 1, 2019, pp. 50-56.

For Research Use Only. Not For Clinical Use.