Mapping anatomical correlations across cerebral cortex (MACACC) using cortical thickness from MRI

Neuroimage. 2006 Jul 1;31(3):993-1003. doi: 10.1016/j.neuroimage.2006.01.042. Epub 2006 Apr 19.


We introduce MACACC-Mapping Anatomical Correlations Across Cerebral Cortex-to study correlated changes within and across different cortical networks. The principal topic of investigation is whether the thickness of one area of the cortex changes in a statistically correlated fashion with changes in thickness of other cortical regions. We further extend these methods by introducing techniques to test whether different population groupings exhibit significantly varying MACACC patterns. The methods are described in detail and applied to a normal childhood development population (n = 292), and show that association cortices have the highest correlation strengths. Taking Brodmann Area (BA) 44 as a seed region revealed MACACC patterns strikingly similar to tractography maps obtained from diffusion tensor imaging. Furthermore, the MACACC map of BA 44 changed with age, older subjects featuring tighter correlations with BA 44 in the anterior portions of the superior temporal gyri. Lastly, IQ-dependent MACACC differences were investigated, revealing steeper correlations between BA 44 and multiple frontal and parietal regions for the higher IQ group, most significantly (t = 4.0) in the anterior cingulate.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Brain Mapping / methods*
  • Cerebral Cortex / anatomy & histology*
  • Child
  • Child Development / physiology
  • Dominance, Cerebral / physiology
  • Female
  • Frontal Lobe / anatomy & histology
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Imaging, Three-Dimensional / methods*
  • Intelligence / physiology
  • Linear Models
  • Magnetic Resonance Imaging / methods*
  • Male
  • Mathematical Computing
  • Nerve Net / anatomy & histology
  • Parietal Lobe / anatomy & histology
  • Software
  • Statistics as Topic