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Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
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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...
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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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Intelligence is often thought to be linked to brain size, but the relationship is more complex than that. While brain size does correlate modestly with some abilities, like verbal skills, the connection is weaker for others, such as spatial reasoning. Other factors, like brain structure, also play crucial roles. For instance, despite Einstein's smaller-than-average brain, his parietal cortex, which is involved in spatial reasoning, was 15% wider, suggesting that neural density might matter...
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The human brain, a complex organ, is functionally divided into two cerebral hemispheres—left and right. These hemispheres are interconnected by a structure of paramount importance, the corpus callosum. This substantial bundle of neural fibers is not just a bridge between the hemispheres but a crucial element for the brain's comprehensive functioning. It enables efficient communication between the two hemispheres, allowing each side of the brain to control and receive sensory and motor...
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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.
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Related Experiment Video

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
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On (ab)normality: Einstein's fusiform gyrus.

Kevin S Weiner1

  • 1Stanford University, Department of Psychology, Stanford, CA, USA.

Brain and Cognition
|January 7, 2015
PubMed
Summary

Determining brain morphology abnormality depends on analysis methods. Einstein's fusiform gyrus (FG) sulcal patterns appear abnormal against averages but resemble patterns within individual variations.

Area of Science:

  • Neuroscience
  • Comparative Anatomy
  • Brain Morphology

Background:

  • Hines (2014) challenged existing histological and morphological findings on Einstein's brain.
  • Previous studies overlooked the fusiform gyrus (FG) due to recent clarification of mid-fusiform sulcus features.

Purpose of the Study:

  • To discuss methods for determining "abnormal" brain morphology.
  • To analyze the sulcal patterning of Albert Einstein's fusiform gyrus (FG).
  • To question the functional significance of morphological "abnormalities" derived from group averages.

Main Methods:

  • Analysis of sulcal patterning in Einstein's fusiform gyrus (FG).
  • Comparison of Einstein's FG patterns against averages from two independent datasets (N=39 and N=15).
  • Assessment of FG sulcal patterns within a larger dataset of 108 hemispheres.
Keywords:
Albert EinsteinFusiform gyrusHistory of scienceMid-fusiform sulcusMorphology

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Main Results:

  • Einstein's FG sulcal patterning is abnormal relative to the generated average brains.
  • FG sulcal patterns similar to Einstein's are found within the larger dataset of 108 hemispheres.
  • The definition of normal versus abnormal morphology is contingent on the analytical approach (group average vs. individual comparison).

Conclusions:

  • The interpretation of morphological "abnormalities" is highly dependent on the chosen analytical method.
  • Comparing individuals to group averages may not accurately reflect functional significance.
  • Findings are relevant for analyzing rare brains and comparing macroanatomical features in typical and atypical populations.