Journal of Psychology and Cognition

All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.
Reach Us +441518081136

Short Communication - Journal of Psychology and Cognition (2023) Volume 8, Issue 4

Neurophysiological approaches to studying brain disorders.

Emma Hernandez*

Department of Psychology and Methods, Jacobs University Bremen, Germany

*Corresponding Author:
Emma Hernandez
Department of Psychology and Methods
Jacobs University Bremen, Germany
E-mail: Hernandez77@gerjub.edu.in

Received: 26-Jun-2023, Manuscript No. AAJPC-23-105039; Editor assigned: 29-Jun-2023, PreQC No. AAJPC-23-105039(PQ); Reviewed: 12-Jul-2023, QC No. AAJPC-23-105039; Revised: 18-Jul-2023, Manuscript No. AAJPC-23-105039(R); Published: 22-Jul-2023, DOI: 10.35841/aajpc - 8.4.187

Citation: Hernandez E. Neurophysiological approaches to studying brain disorders. J Psychol Cognition. 2023;8(4):187

Visit for more related articles at Journal of Psychology and Cognition

Introduction

Neurophysiological approaches have revolutionized our understanding of brain disorders by providing valuable insights into the underlying mechanisms and functions of the brain. These approaches employ various techniques to measure and analyze neural activity, enabling researchers to investigate the causes, manifestations, and potential treatments for a wide range of brain disorders. This article explores the significance and applications of neurophysiological approaches in studying brain disorders.

One of the primary neurophysiological techniques used in studying brain disorders is electroencephalography (EEG). EEG measures the electrical activity of the brain by recording the collective behavior of neurons through electrodes placed on the scalp. This non-invasive technique is particularly useful in assessing disorders such as epilepsy, sleep disorders, and cognitive impairments. EEG provides valuable information about brain wave patterns, enabling researchers to identify abnormal activity associated with specific disorders. By analyzing these patterns, researchers can gain insights into the underlying mechanisms and develop targeted treatments [1].

Another widely used neurophysiological approach is functional magnetic resonance imaging (fMRI). fMRI measures changes in blood flow and oxygenation levels in the brain, allowing researchers to map brain activity associated with specific tasks or cognitive processes. This technique is valuable in understanding brain disorders such as schizophrenia, depression, and addiction. fMRI studies have revealed abnormal patterns of brain activity in these disorders, shedding light on the neural circuitry involved and potential targets for intervention [2].

Transcranial magnetic stimulation (TMS) is another neurophysiological approach that has gained prominence in the study of brain disorders. TMS involves applying brief magnetic pulses to the scalp to stimulate or inhibit specific regions of the brain. By modulating neural activity in targeted areas, researchers can investigate the causal relationship between brain function and behavior. TMS has shown promise in the treatment of various disorders, including depression, chronic pain, and motor impairments. Additionally, it can be combined with other neurophysiological techniques, such as EEG or fMRI, to provide a more comprehensive understanding of brain disorders [3].

Neurophysiological approaches also encompass techniques such as magnetoencephalography (MEG), positron emission tomography (PET), and single-unit recordings. MEG measures the magnetic fields generated by neural activity, providing precise temporal and spatial information about brain function. PET uses radioactive tracers to map metabolic activity in the brain, offering insights into disorders such as Alzheimer's disease and Parkinson's disease. Single-unit recordings involve inserting microelectrodes into individual neurons, allowing researchers to study the firing patterns and activity of specific cells. These techniques provide detailed information about neural activity at a cellular level, enabling researchers to investigate the mechanisms underlying brain disorders [4].

The application of neurophysiological approaches to studying brain disorders has yielded significant advancements in our understanding of these conditions. For example, by using EEG, researchers have identified distinct patterns of brain activity associated with different types of seizures in epilepsy, leading to more accurate diagnoses and personalized treatment approaches. Similarly, fMRI studies have revealed altered connectivity patterns in individuals with autism spectrum disorders, helping to elucidate the neural basis of social and communication impairments.

Neurophysiological approaches also play a crucial role in the development and evaluation of treatments for brain disorders. For instance, TMS has been used to modulate neural activity in specific brain regions to alleviate symptoms of depression and improve motor function in Parkinson's disease. These interventions can be guided by neurophysiological measurements to target dysfunctional neural circuits and promote recovery [5].

Conclusion

Neurophysiological approaches have revolutionized the study of brain disorders by providing insights into the underlying mechanisms and functions of the brain. EEG, fMRI, TMS, MEG, PET, and single-unit recordings have expanded our understanding of various brain disorders and contributed to the development of targeted treatments. These techniques offer valuable tools for researchers and clinicians to explore the complexities of the brain and improve the lives of individuals affected by brain disorders. Continued advancements in neurophysiological approaches hold the promise of further unraveling the mysteries of the brain and paving the way for novel therapeutic interventions.

References

  1. Choudhary AK, Lee YY. Neurophysiological symptoms and aspartame: What is the connection? Nutr. Neurosci. 2018;21(5):306-16.
  2. Indexed at, Google Scholar, Cross Ref

  3. Koch G, Casula EP, Bonnì S, et al. Precuneus magnetic stimulation for Alzheimer’s disease: a randomized, sham-controlled trial. Brain. 2022;145(11):3776-86.
  4. Indexed at, Google Scholar, Cross Ref

  5. Khalil R, Tindle R, Boraud T, et al. Social decision making in autism: On the impact of mirror neurons, motor control, and imitative behaviors. CNS Neurosci Ther. 2018;24(8):669-76.
  6. Indexed at, Google Scholar, Cross Ref

  7. Ghai S, Ghai I, Schmitz G, et al. Effect of rhythmic auditory cueing on parkinsonian gait: a systematic review and meta-analysis. Sci. Rep. 2018;8(1):506.
  8. Indexed at, Google Scholar, Cross Ref

  9. Boyne P, Meyrose C, Westover J, et al. Exercise intensity affects acute neurotrophic and neurophysiological responses poststroke. J. Appl. Physiol. 2019;126(2):431-43.
  10. Indexed at, Google Scholar, Cross Ref

Get the App