Mª Ángeles Quiroga

Neuroanatomic overlap between intelligence and cognitive factors: morphometry methods provide support for the key role of the frontal lobes.

Evidence from neuroimaging studies suggests that intelligence differences may be supported by a parieto-frontal network. Research shows that this network is also relevant for cognitive functions such as working memory and attention. However, previous studies have not explicitly analyzed the commonality of brain areas between a broad array of intelligence factors and cognitive functions tested in the same sample. Here fluid, crystallized, and spatial intelligence, along with working memory, executive updating, attention, and processing speed were each measured by three diverse tests or tasks. These twenty-one measures were completed by a group of one hundred and four healthy young adults. Three cortical measures (cortical gray matter volume, cortical surface area, and cortical thickness) were regressed against psychological latent scores obtained from a confirmatory factor analysis for removing test and task specific variance. For cortical gray matter volume and cortical surface area, the main overlapping clusters were observed in the middle frontal gyrus and involved fluid intelligence and working memory. Crystallized intelligence showed an overlapping cluster with fluid intelligence and working memory in the middle frontal gyrus. The inferior frontal gyrus showed overlap for crystallized intelligence, spatial intelligence, attention, and processing speed. The fusiform gyrus in temporal cortex showed overlap for spatial intelligence and attention. Parietal and occipital areas did not show any overlap across intelligence and cognitive factors. Taken together, these findings underscore that structural features of gray matter in the frontal lobes support those aspects of intelligence related to basic cognitive processes.

The real relationship between short-term memory and working memory

Storage-oriented memory span tasks with no explicit concurrent processing are usually referred as short-term memory (STM) tasks, whereas tasks involving storage plus concurrent processing requirements are designated as working memory (WM) tasks. The present study explores a question that remains unsolved: Do STM and WM tasks clearly tap distinguishable theoretical constructs? For that purpose, a large sample of 403 participants was tested through 12 diverse memory span tasks. Half of those tasks are widely accepted as measures of STM, whereas the other half measure WM. The results show that STM and WM share largely overlapping underlying capacity limitations, suggesting that all memory span tasks tap essentially the same construct. Some implications are discussed.

Temporal Stability and Cross-National Consistency of the Dimensional Structure of the Sexual Attraction Questionnaire (SAQ)

The Sexual Attraction Questionnaire (SAQ) was designed to measure sexual attraction (Fernández, Quiroga, & Rodríguez, 2006), because the current questionnaires were considered inadequate. The purpose of this research was to test whether the SAQ factors remain meaningful after several years (stability) and whether the Italian version is equivalent to the Spanish one (consistency). Three groups of university students participated: two from Spain (n = 182 and 255, respectively) and one from Italy (n = 293). The Spanish groups were tested with a 7-year interval (2001-2008). The Italian group was tested in 2008. The main hypotheses were to test, across time interval and countries: (a) factor congruence, (b) predictive power of factors (proportion of variance accounted for), and (c) scale reliability. Sexual attraction typology also was analyzed, within and between countries, to test the validity of the underlying theoretical model. The results obtained show that the SAQ factor structure remains the same, the resulting factors have high predictive power, and the SAQ scales are highly reliable. Sexual dimorphism and sexual attraction typology are highly associated, thus validating the underlying theoretical model.