Comput. Biol. Med. - Improved explanation of human intelligence using cortical features with second order moments and regression.

Tópicos

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Resumo

CKGROUND: Cortical features derived from magnetic resonance imaging (MRI) provide important information to account for human intelligence. Cortical thickness, surface area, sulcal depth, and mean curvature were considered to explain human intelligence. One region of interest (ROI) of a cortical structure consisting of thousands of vertices contained thousands of measurements, and typically, one mean value (first order moment), was used to represent a chosen ROI, which led to a potentially significant loss of information.METHODS: We proposed a technological improvement to account for human intelligence in which a second moment (variance) in addition to the mean value was adopted to represent a chosen ROI, so that the loss of information would be less severe. Two computed moments for the chosen ROIs were analyzed with partial least squares regression (PLSR). Cortical features for 78 adults were measured and analyzed in conjunction with the full-scale intelligence quotient (FSIQ).RESULTS: Our results showed that 45% of the variance of the FSIQ could be explained using the combination of four cortical features using two moments per chosen ROI. Our results showed improvement over using a mean value for each ROI, which explained 37% of the variance of FSIQ using the same set of cortical measurements.DISCUSSION: Our results suggest that using additional second order moments is potentially better than using mean values of chosen ROIs for regression analysis to account for human intelligence.

Resumo Limpo

ckground cortic featur deriv magnet reson imag mri provid import inform account human intellig cortic thick surfac area sulcal depth mean curvatur consid explain human intellig one region interest roi cortic structur consist thousand vertic contain thousand measur typic one mean valu first order moment use repres chosen roi led potenti signific loss informationmethod propos technolog improv account human intellig second moment varianc addit mean valu adopt repres chosen roi loss inform less sever two comput moment chosen roi analyz partial least squar regress plsr cortic featur adult measur analyz conjunct fullscal intellig quotient fsiqresult result show varianc fsiq explain use combin four cortic featur use two moment per chosen roi result show improv use mean valu roi explain varianc fsiq use set cortic measurementsdiscuss result suggest use addit second order moment potenti better use mean valu chosen roi regress analysi account human intellig

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