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Related Concept Videos

Somatosensory, Motor, and Association Cortex01:23

Somatosensory, Motor, and Association Cortex

The somatosensory cortex in the parietal lobes is crucial for interpreting sensory data such as touch, temperature, and proprioception. The somatosensory cortex, situated in the parietal lobes, plays a vital role in interpreting sensory information like touch, temperature, and proprioception—awareness of body position. This specialized brain region features an organized structure wherein neurons at the top primarily process sensations originating from the lower body. In contrast, those at the...
Cerebrum: Anatomical Overview I01:26

Cerebrum: Anatomical Overview I

The main and largest component of the human brain is the cerebrum. The cerebrum consists of two main parts: the cerebral cortex, an outer layer with wrinkles or folds known as gyri and shallow grooves called sulci, and a deeper region beneath it. The cerebrum divides into two distinct hemispheres and contains five different lobes: the frontal, parietal, temporal, occipital, and insula. The central sulcus separates the frontal and parietal lobes and two functionally important gyri — the...
Lobes of the Cerebrum01:22

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The cerebral cortex, a critical structure of the brain, is intricately divided into two hemispheres, each consisting of four distinct lobes: occipital, temporal, frontal, and parietal. These lobes function cooperatively to regulate various cognitive and sensory functions, forming the basis of our complex neural capabilities.
Frontal lobe
The frontal lobes, located behind the forehead, are the command center of our brain, controlling personality, intelligence, and voluntary muscle movements.
Cerebrum: Anatomical Overview II01:11

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Each cerebral hemisphere can be divided into three main regions. The outermost region, the cerebral cortex, is a thin layer (2 to 4 millimeters thick) made up of gray matter, consisting of neuron cell bodies, dendrites, glial cells, and blood vessels. The middle region, or white matter, is primarily composed of myelinated nerve fibers organized into three types of large tracts: association fibers, commissures, and projection fibers. Association fibers connect different areas within the same...
Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
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The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor cortex.
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.
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Related Experiment Video

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Visualization of Cortical Modules in Flattened Mammalian Cortices
08:49

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Functional segmentation of the brain cortex using high model order group PICA.

Vesa Kiviniemi1, Tuomo Starck, Jukka Remes

  • 1Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland. vesa.kiviniemi@oulu.fi

Human Brain Mapping
|June 10, 2009
PubMed
Summary

High-dimension Independent Component Analysis (ICA) reveals more resting state brain networks (RSNs) than previously identified. This advanced neuroimaging method improves functional brain segmentation and connectivity analysis.

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Area of Science:

  • Neuroimaging
  • Systems Neuroscience
  • Computational Neuroscience

Background:

  • Resting state brain networks (RSNs) are crucial for understanding brain function.
  • Independent Component Analysis (ICA) is a common method for identifying RSNs in BOLD data.
  • Previous studies typically identify around 12 RSNs.

Purpose of the Study:

  • To determine the number of RSN signal sources separable from the entire brain cortex using high-dimension ICA.
  • To assess the robustness and anatomical relevance of identified RSNs.
  • To compare the connectivity of RSNs with non-RSN components.

Main Methods:

  • Analysis of group resting state functional magnetic resonance imaging (fMRI) data from 55 subjects.
  • Application of temporal concatenation and probabilistic ICA with a high model order.
  • ICA repeatability testing to ensure component robustness.

Main Results:

  • 60 out of 70 computed components were robustly detected.
  • 42 independent signal sources were identified as RSNs, with 28 classified as artifacts or non-RSN sources.
  • Identified RSNs showed a closer match to functional neuroanatomy compared to previous reports.
  • Non-RSN sources exhibited significantly lower temporal intersource connectivity than RSNs (P < 0.0003).

Conclusions:

  • High model order ICA of group BOLD data enables effective functional segmentation of the brain cortex.
  • This method allows for more precise anatomical details in connectivity and causality analyses.
  • The findings suggest a more comprehensive identification of RSNs is possible with advanced ICA techniques.