scholarly journals Minimal Relationship between Local Gyrification and General Cognitive Ability in Humans

2020 ◽  
Vol 30 (6) ◽  
pp. 3439-3450
Author(s):  
Samuel R Mathias ◽  
Emma E M Knowles ◽  
Josephine Mollon ◽  
Amanda Rodrigue ◽  
Marinka M C Koenis ◽  
...  
Keyword(s):  
Cognitive Ability ◽  
Cognitive Abilities ◽  
Large Scale ◽  
Statistical Significance ◽  
Phenotypic Variance ◽  
Intracranial Volume ◽  
Cortical Surface ◽  
General Cognitive Ability ◽  
Total N ◽  
Two Samples

Abstract Previous studies suggest that gyrification is associated with superior cognitive abilities in humans, but the strength of this relationship remains unclear. Here, in two samples of related individuals (total N = 2882), we calculated an index of local gyrification (LGI) at thousands of cortical surface points using structural brain images and an index of general cognitive ability (g) using performance on cognitive tests. Replicating previous studies, we found that phenotypic and genetic LGI–g correlations were positive and statistically significant in many cortical regions. However, all LGI–g correlations in both samples were extremely weak, regardless of whether they were significant or nonsignificant. For example, the median phenotypic LGI–g correlation was 0.05 in one sample and 0.10 in the other. These correlations were even weaker after adjusting for confounding neuroanatomical variables (intracranial volume and local cortical surface area). Furthermore, when all LGIs were considered together, at least 89% of the phenotypic variance of g remained unaccounted for. We conclude that the association between LGI and g is too weak to have profound implications for our understanding of the neurobiology of intelligence. This study highlights potential issues when focusing heavily on statistical significance rather than effect sizes in large-scale observational neuroimaging studies.

scholarly journals Flipping the Script: Measuring Both Performance Validity and Cognitive Ability with the Forced Choice Recognition Trial of the RCFT

2021 ◽  
pp. 003151252110197
Author(s):  
Kaitlyn Abeare ◽  
Kristoffer Romero ◽  
Laura Cutler ◽  
Christina D. Sirianni ◽  
Laszlo A. Erdodi
Keyword(s):  
Cognitive Ability ◽  
Verbal Memory ◽  
Visual Memory ◽  
Large Scale ◽  
Clinical Sample ◽  
Neuropsychological Test ◽  
Forced Choice ◽  
Control Group ◽  
Performance Validity ◽  
Two Samples

In this study we attempted to replicate the classification accuracy of the newly introduced Forced Choice Recognition trial (FCR) of the Rey Complex Figure Test (RCFT) in a clinical sample. We administered the RCFT FCR and the earlier Yes/No Recognition trial from the RCFT to 52 clinically referred patients as part of a comprehensive neuropsychological test battery and incentivized a separate control group of 83 university students to perform well on these measures. We then computed the classification accuracies of both measures against criterion performance validity tests (PVTs) and compared results between the two samples. At previously published validity cutoffs (≤16 & ≤17), the RCFT FCR remained specific (.84–1.00) to psychometrically defined non-credible responding. Simultaneously, the RCFT FCR was more sensitive to examinees’ natural variability in visual-perceptual and verbal memory skills than the Yes/No Recognition trial. Even after being reduced to a seven-point scale (18-24) by the validity cutoffs, both RCFT recognition scores continued to provide clinically useful information on visual memory. This is the first study to validate the RCFT FCR as a PVT in a clinical sample. Our data also support its use for measuring cognitive ability. Replication studies with more diverse samples and different criterion measures are still needed before large-scale clinical application of this scale.

scholarly journals Identifying Nootropic Drug Targets via Large-Scale Cognitive GWAS and Transcriptomics

2020 ◽  
Author(s):  
Max Lam ◽  
Chen Chia-Yen ◽  
Xia Yan ◽  
W. David Hill ◽  
Joey W. Trampush ◽  
...  
Keyword(s):  
Cognitive Ability ◽  
Drug Targets ◽  
Large Scale ◽  
Drug Repurposing ◽  
Gene Identification ◽  
Summary Statistics ◽  
General Cognitive Ability ◽  
Nootropic Drug ◽  
Genome Wide ◽  
Meta Analyses

AbstractBackgroundCognitive traits demonstrate significant genetic correlations with many psychiatric disorders and other health-related traits. Many neuropsychiatric and neurodegenerative disorders are marked by cognitive deficits. Therefore, genome-wide association studies (GWAS) of general cognitive ability might suggest potential targets for nootropic drug repurposing. Our previous effort to identify “druggable genes” (i.e., GWAS-identified genes that produce proteins targeted by known small molecules) was modestly powered due to the small cognitive GWAS sample available at the time. Since then, two large cognitive GWAS meta-analyses have reported 148 and 205 genome-wide significant loci, respectively. Additionally, large-scale gene expression databases, derived from post-mortem human brain, have recently been made available for GWAS annotation. Here, we 1) reconcile results from these two cognitive GWAS meta-analyses to further enhance power for locus discovery; 2) employ several complementary transcriptomic methods to identify genes in these loci with variants that are credibly associated with cognition; and 3) further annotate the resulting genes to identify “druggable” targets.MethodsGWAS summary statistics were harmonized and jointly analysed using Multi-Trait Analysis of GWAS [MTAG], which is optimized for handling sample overlaps. Downstream gene identification was carried out using MAGMA, S-PrediXcan/S-TissueXcan Transcriptomic Wide Analysis, and eQTL mapping, as well as more recently developed methods that integrate GWAS and eQTL data via Summary-statistics Mendelian Randomization [SMR] and linkage methods [HEIDI], Available brain-specific eQTL databases included GTEXv7, BrainEAC, CommonMind, ROSMAP, and PsychENCODE. Intersecting credible genes were then annotated against multiple chemoinformatic databases [DGIdb, KI, and a published review on “druggability”].ResultsUsing our meta-analytic data set (N = 373,617) we identified 241 independent cognition-associated loci (29 novel), and 76 genes were identified by 2 or more methods of gene identification. 26 genes were associated with general cognitive ability via SMR, 16 genes via STissueXcan/S-PrediXcan, 47 genes via eQTL mapping, and 68 genes via MAGMA pathway analysis. The use of the HEIDI test permitted the exclusion of candidate genes that may have been artifactually associated to cognition due to linkage, rather than direct causal or indirect pleiotropic effects. Actin and chromatin binding gene sets were identified as novel pathways that could be targeted via drug repurposing. Leveraging on our various transcriptome and pathway analyses, as well as available chemoinformatic databases, we identified 16 putative genes that may suggest drug targets with nootropic properties.DiscussionResults converged on several categories of significant drug targets, including serotonergic and glutamatergic genes, voltage-gated ion channel genes, carbonic anhydrase genes, and phosphodiesterase genes. The current results represent the first efforts to apply a multi-method approach to integrate gene expression and SNP level data to identify credible actionable genes for general cognitive ability.

What Is IQ? Life Beyond “General Intelligence”

2019 ◽  
Vol 28 (2) ◽  
pp. 189-194 ◽  
Author(s):  
Kristof Kovacs ◽  
Andrew R. A. Conway
Keyword(s):  
Cognitive Ability ◽  
Cognitive Abilities ◽  
Latent Trait ◽  
Cognitive Activity ◽  
General Intelligence ◽  
General Cognitive Ability ◽  
Neural Basis ◽  
Standard View ◽  
Different Content ◽  
Recent Account

For more than a century, the standard view in the field of human intelligence has been that there is a “general intelligence” that permeates all human cognitive activity. This general cognitive ability is supposed to explain the positive manifold, the finding that intelligence tests with different content all correlate. Yet there is a lack of consensus regarding the psychological or neural basis of such an ability. A recent account, process-overlap theory, explains the positive manifold without proposing general intelligence. As a consequence of the theory, IQ is redefined as an emergent formative construct rather than a reflective latent trait. This implies that IQ should be interpreted as an index of specific cognitive abilities rather than the reflection of an underlying general cognitive ability.

The relationship between hand preference, hand performance, and general cognitive ability

2010 ◽  
Vol 16 (4) ◽  
pp. 585-592 ◽  
Author(s):  
MICHAEL E.R. NICHOLLS ◽  
HEIDI L. CHAPMAN ◽  
TOBIAS LOETSCHER ◽  
GINA M. GRIMSHAW
Keyword(s):  
Cognitive Ability ◽  
Performance Measures ◽  
Large Scale ◽  
Hand Preference ◽  
Performance Measure ◽  
General Cognitive Ability ◽  
Preference Data ◽  
Hand Performance ◽  
The Relationship

AbstractThe idea that handedness indicates something about a person’s cognitive ability and personality is a perennial issue. A variety of models have been put forward to explain this relationship and predict a range of outcomes from higher levels of cognitive ability in left-handers or moderate right-handers to lower levels of achievement in left- or mixed-handers. We tested these models using a sample (n = 895) drawn from the BRAINnet database (www.brainnet.net). Participants completed a general cognitive ability (GCA) scale and a test of hand preference/performance. Moderate right-handers, as indexed by their performance measures, had higher GCA scores compared with strong left- or right-handers. The performance measure also showed lower levels of GCA for left-handers compared with right-handers. The hand preference data showed little or no association with cognitive ability—perhaps because this measure clusters individuals toward the extremes of the handedness distribution. While adding support to Annett’s heterozygous advantage model, which predicts a cognitive disadvantage for strong left- or right-handers, the data also confirm recent research showing a GCA disadvantage for left-handers. Although this study demonstrates that handedness is related to cognitive ability, the effects are subtle and might only be identified in large-scale studies with sensitive measures of hand performance. (JINS, 2010, 16, 585–592.)

scholarly journals An investigation of Social Class Inequalities in General Cognitive Ability in Two British Birth Cohorts

2018 ◽  
Author(s):  
Roxanne Connelly ◽  
Vernon Gayle
Keyword(s):  
Social Class ◽  
Cognitive Ability ◽  
Test Scores ◽  
Large Scale ◽  
Parental Education ◽  
General Cognitive Ability ◽  
Birth Cohorts ◽  
Ability Test ◽  
British Cohort Study ◽  
Nationally Representative

The ‘Flynn effect’ describes the substantial and long-standing increase in average cognitive ability test scores, which has been observed in numerous psychological studies. Flynn makes an appeal for researchers to move beyond psychology’s standard disciplinary boundaries and to consider sociological contexts, in order to develop a more comprehensive understanding of cognitive inequalities. In this article we respond to this appeal and investigate social class inequalities in general cognitive ability test scores over time. We analyse data from the National Child Development Study (1958) and the British Cohort Study (1970). These two British birth cohorts are suitable nationally representative large-scale data resources for studying inequalities in general cognitive ability.We observe a large parental social class effect, net of parental education and gender in both cohorts. The overall finding is that large social class divisions in cognitive ability can be observed when children are still at primary school, and similar patterns are observed in each cohort. Notably, pupils with fathers at the lower end of the class structure are at a distinct disadvantage. This is a disturbing finding and it is especially important because cognitive ability is known to influence individuals later in the lifecourse.

scholarly journals Brain structural differences between 73- and 92-year olds matched for childhood intelligence, social background, and intracranial volume

2017 ◽  
Author(s):  
Stuart J. Ritchie ◽  
David Alexander Dickie ◽  
Simon R. Cox ◽  
Maria del C. Valdés Hernández ◽  
Alison Pattie ◽  
...  
Keyword(s):  
White Matter ◽  
Cognitive Ability ◽  
Surface Area ◽  
Cortical Thickness ◽  
White Matter Hyperintensity ◽  
Socioeconomic Background ◽  
Intracranial Volume ◽  
Cortical Surface ◽  
Age Cohorts ◽  
Cortical Surface Area

AbstractFully characterizing age differences in the brain is a key task for combatting ageing-related cognitive decline. Using propensity score matching on two independent, narrow-age cohorts, we used data on childhood cognitive ability, socioeconomic background, and intracranial volume to match participants at mean age 92 years (n = 42) to very similar participants at mean age 73 (n = 126). Examining a variety of global and regional structural neuroimaging variables, there were large differences in grey and white matter volumes, cortical surface area, cortical thickness, and white matter hyperintensity volume and spatial extent. In a mediation analysis, the total volume of white matter hyperintensities and total cortical surface area jointly mediated 24.9% of the relation between age and general cognitive ability (tissue volumes and cortical thickness were not significant mediators in this analysis). These findings provide an unusual and valuable perspective on neurostructural ageing, in which brains from the eighth and tenth decades of life differ widely despite the same cognitive, socio-economic, and brain-volumetric starting points.

A Quantitative Genetic Analysis of Cognitive Abilities during the Second Half of the Life Span

1992 ◽  
Vol 3 (6) ◽  
pp. 346-353 ◽  
Author(s):  
N.L. Pedersen ◽  
R. Plomin ◽  
J.R. Nesselroade ◽  
G.E. McClearn
Keyword(s):  
Cognitive Ability ◽  
Cognitive Abilities ◽  
Identical Twins ◽  
Early Age ◽  
General Cognitive Ability ◽  
Perceptual Speed ◽  
Twin Design ◽  
Quantitative Genetic ◽  
Specific Cognitive Abilities ◽  
Cognitive Data

Little is known about the importance of genetic effects on individual differences in cognitive abilities late in life. We present the first report from the Swedish Adoption/Twin Study of Aging (SATSA) for cognitive data, including general cognitive ability and 13 tests of specific cognitive abilities. The adoption/twin design consists of identical twins separated at an early age and reared apart (46 pairs), identical twins reared together (67 pairs), fraternal twins reared apart (100 pairs), and fraternal twins reared together (89 pairs); average age was 65 years. Heritability of general cognitive ability in these twins was much higher (about 80%) than estimates typically found earlier in life (about 50%). Consistent with the literature, heritabilities of specific cognitive abilities were lower than the heritability of general cognitive ability but nonetheless substantial. Average heritabilities for verbal, spatial, perceptual speed, and memory tests were, respectively, 58%, 46%, 58%, and 38%.

scholarly journals Cortical Structure and Cognition in Infants and Toddlers

2019 ◽  
Vol 30 (2) ◽  
pp. 786-800 ◽  
Author(s):  
Jessica B Girault ◽  
Emil Cornea ◽  
Barbara D Goldman ◽  
Shaili C Jha ◽  
Veronica A Murphy ◽  
...  
Keyword(s):  
Cognitive Ability ◽  
Cortical Thickness ◽  
Cognitive Abilities ◽  
Maternal Education ◽  
General Cognitive Ability ◽  
Infants And Toddlers ◽  
Cognitive Domains ◽  
Cortical Structure ◽  
Cortical Regions ◽  
Visual Reception

ABSTRACTCortical structure has been consistently related to cognitive abilities in children and adults, yet we know little about how the cortex develops to support emergent cognition in infancy and toddlerhood when cortical thickness (CT) and surface area (SA) are maturing rapidly. In this report, we assessed how regional and global measures of CT and SA in a sample (N = 487) of healthy neonates, 1-year-olds, and 2-year-olds related to motor, language, visual reception, and general cognitive ability. We report novel findings that thicker cortices at ages 1 and 2 and larger SA at birth, age 1, and age 2 confer a cognitive advantage in infancy and toddlerhood. While several expected brain–cognition relationships were observed, overlapping cortical regions were also implicated across cognitive domains, suggesting that infancy marks a period of plasticity and refinement in cortical structure to support burgeoning motor, language, and cognitive abilities. CT may be a particularly important morphological indicator of ability, but its impact on cognition is relatively weak when compared with gestational age and maternal education. Findings suggest that prenatal and early postnatal cortical developments are important for cognition in infants and toddlers but should be considered in relation to other child and demographic factors.

The Genetic and Environmental Relationship Between General and Specific Cognitive Abilities in Twins Age 80 and Older

1998 ◽  
Vol 9 (3) ◽  
pp. 183-189 ◽  
Author(s):  
Stephen A. Petrill ◽  
Robert Plomin ◽  
Stig Berg ◽  
Boo Johansson ◽  
Nancy L. Pedersen ◽  
...  
Keyword(s):  
Cognitive Ability ◽  
Cognitive Abilities ◽  
Memory Performance ◽  
General Cognitive Ability ◽  
Speed Of Processing ◽  
Processing Abilities ◽  
Genetic And Environmental Factors ◽  
Performance Results ◽  
The Relationship ◽  
Specific Cognitive Abilities

In the first twin study of the old-old, individuals 80 years old and older, we examined the relationship between general and specific cognitive abilities from a genetic perspective. That is, we examined the extent to which genetic and environmental factors influence major group factors of cognitive abilities, independent of general cognitive ability. As part of the OctoTwin project in Sweden, general and specific cognitive abilities were assessed in 52 monozygotic and 65 same-sex dizygotic twin pairs 80 years old and older using a battery of seven tests that assess verbal, spatial, speed-of-processing, and memory performance. Results suggest that genetic effects associated with general cognitive ability (g) account for the correlation between g and verbal, spatial, and speed-of-processing abilities. No genetic influences were found for these specific cognitive abilities separate from g. In contrast, memory ability appears to be more distinct genetically from g than are other cognitive abilities. Comparison with younger samples suggests that cognitive abilities relating to speed of processing may be genetically dedifferentiated in the old-old.

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