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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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Organization of the Brain01:30

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The brain is an integral component of the nervous system and serves as the center for processing sensory inputs, making decisions, and directing bodily actions. This complex organ is organized into three primary sections: the hindbrain, midbrain, and forebrain, each responsible for a range of vital functions.
Hindbrain
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The brain is the most complex organ in the human body. It consists of four main parts: the cerebrum, diencephalon, cerebellum, and brainstem.
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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
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Brain Connectomics.

Erik H Middlebrooks1, Sanjeet S Grewal2

  • 1Department of Radiology, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, USA; Department of Neurosurgery, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, USA.

Neuroimaging Clinics of North America
|July 17, 2022
PubMed
Summary
This summary is machine-generated.

Connectomics studies brain networks to understand neurologic diseases, shifting from older localizationist theories. This approach offers potential for clinical medicine and neuromodulation in disorders like Parkinson's disease and epilepsy.

Keywords:
ConnectomicsDeep brain stimulationEpilepsyEssential tremorFunctional MRIParkinson’s disease

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Area of Science:

  • Neuroscience
  • Systems Neuroscience
  • Computational Neuroscience

Background:

  • Modern neuroscience emphasizes complex brain networks over traditional localizationist theories.
  • Connectomics aims to map these neural circuits and their function.
  • Understanding brain connectivity is crucial for diagnosing and treating neurologic disorders.

Purpose of the Study:

  • To discuss the science of connectomics.
  • To explore the role of connectomics in clinical medicine.
  • To highlight the potential of connectomics in neuromodulation for various neurologic conditions.

Main Methods:

  • Review of connectomics principles and methodologies.
  • Analysis of existing literature on brain network mapping.
  • Case examples illustrating connectomic applications in disease.

Main Results:

  • Connectomics provides a framework for understanding brain function and dysfunction.
  • Network-based approaches are emerging in the study of essential tremor, Parkinson's disease, OCD, and epilepsy.
  • Neuromodulation strategies can be informed by connectomic data.

Conclusions:

  • Connectomics represents a paradigm shift in neuroscience, moving towards network-level understanding.
  • This field holds significant promise for advancing the diagnosis and treatment of neurologic disorders.
  • Further research in connectomics will likely refine neuromodulation techniques and personalize treatment approaches.