scholarly journals Brain imaging correlates of general intelligence in UK Biobank

2019 ◽  
Author(s):  
SR Cox ◽  
SJ Ritchie ◽  
C Fawns-Ritchie ◽  
EM Tucker-Drob ◽  
IJ Deary

AbstractThe associations between indices of brain structure and measured intelligence are not clear. In part, this is because the evidence to date comes from mostly small and heterogenous studies. Here, we report brain structure-intelligence associations on a large sample from the UK Biobank study. The overall N = 29,004, with N = 18,363 participants providing both brain MRI and cognitive data, and a minimum N = 7318 providing the MRI data alongside a complete four-test battery. Participants’ age range was 44-81 years (M = 63.13, SD = 7.48). A general factor of intelligence (g) was extracted from four varied cognitive tests, accounting for one third of the variance in the cognitive test scores. The association between (age-and sex-corrected) total brain volume and a latent factor of general intelligence is r = 0.275, 95% C.I. = [0.252, 0.299]. A model that incorporated multiple global measures of grey and white matter macro-and microstructure accounted for more than double the g variance in older participants compared to those in middle-age (13.4% and 5.9%, respectively). There were no sex differences in the magnitude of associations between g and total brain volume or other global aspects of brain structure. The largest brain regional correlates of g were volumes of the insula, frontal, anterior/superior and medial temporal, posterior and paracingulate, lateral occipital cortices, thalamic volume, and the white matter microstructure of thalamic and association fibres, and of the forceps minor.

2014 ◽  
Vol 45 (7) ◽  
pp. 1389-1399 ◽  
Author(s):  
H. C. Saavedra Pérez ◽  
M. A. Ikram ◽  
N. Direk ◽  
H. G. Prigerson ◽  
R. Freak-Poli ◽  
...  

BackgroundSeveral psychosocial risk factors for complicated grief have been described. However, the association of complicated grief with cognitive and biological risk factors is unclear. The present study examined whether complicated grief and normal grief are related to cognitive performance or structural brain volumes in a large population-based study.MethodThe present research comprised cross-sectional analyses embedded in the Rotterdam Study. The study included 5501 non-demented persons. Participants were classified as experiencing no grief (n = 4731), normal grief (n = 615) or complicated grief (n = 155) as assessed with the Inventory of Complicated Grief. All persons underwent cognitive testing (Mini-Mental State Examination, Letter–Digit Substitution Test, Stroop Test, Word Fluency Task, word learning test – immediate and delayed recall), and magnetic resonance imaging to measure general brain parameters (white matter, gray matter), and white matter lesions. Total brain volume was defined as the sum of gray matter plus normal white matter and white matter lesion volume. Persons with depressive disorders were excluded and analyses were adjusted for depressive symptoms.ResultsCompared with no-grief participants, participants with complicated grief had lower scores for the Letter–Digit Substitution Test [Z-score −0.16 v. 0.04, 95% confidence interval (CI) −0.36 to −0.04, p = 0.01] and Word Fluency Task (Z-score −0.15 v. 0.03, 95% CI −0.35 to −0.02, p = 0.02) and smaller total volumes of brain matter (933.53 ml v. 952.42 ml, 95% CI −37.6 to −0.10, p = 0.04).ConclusionsParticipants with complicated grief performed poorly in cognitive tests and had a smaller total brain volume. Although the effect sizes were small, these findings suggest that there may be a neurological correlate of complicated grief, but not of normal grief, in the general population.


Author(s):  
Ian J. Deary

‘What do more intelligent brains look like?’ considers a study that used data from the Lothian Birth Cohort 1936 to test the strength of the correlation between the general intelligence scores of the participants and different measures of their brain’s structure. Magnetic resonance imaging was used to measure total brain volume, brain cortical thickness, brain white matter integrity (or health), and brain white matter hyperintensities. The study showed that people who have higher general intelligence tend to have larger brains, thicker grey matter on the surface of the brain, and healthier white matter brain connections. The associations are not strong, but some aspects of brain structure do relate to intelligence test scores.


Stroke ◽  
2019 ◽  
Vol 50 (4) ◽  
pp. 783-788 ◽  
Author(s):  
Jeremy P. Berman ◽  
Faye L. Norby ◽  
Thomas Mosley ◽  
Elsayed Z. Soliman ◽  
Rebecca F. Gottesman ◽  
...  

Background and Purpose— Atrial fibrillation (AF) is associated with dementia independent of clinical stroke. The mechanisms underlying this association remain unclear. In a community-based cohort, the ARIC study (Atherosclerosis Risk in Communities), we evaluated (1) the longitudinal association of incident AF and (2) the cross-sectional association of prevalent AF with brain magnetic resonance imaging (MRI) abnormalities. Methods— The longitudinal analysis included 963 participants (mean age, 73±4.4 years; 62% women; 51% black) without prevalent stroke or AF who underwent a brain MRI in 1993 to 1995 and a second MRI in 2004 to 2006 (mean, 10.6±0.8 years). Outcomes included subclinical cerebral infarctions, sulcal size, ventricular size, and, for the cross-sectional analysis, white matter hyperintensity volume and total brain volume. Results— In the longitudinal analysis, 29 (3.0%) participants developed AF after the first brain MRI. Those who developed AF had higher odds of increase in subclinical cerebral infarctions (odds ratio [OR], 3.08; 95% CI, 1.39–6.83), worsening sulcal grade (OR, 3.56; 95% CI, 1.04–12.2), and worsening ventricular grade (OR, 9.34; 95% CI, 1.24–70.2). In cross-sectional analysis, of 969 participants, 35 (3.6%) had prevalent AF at the time of the 2004 to 2006 MRI scan. Those with AF had greater odds of higher sulcal (OR, 3.9; 95% CI, 1.7–9.1) and ventricular grade (OR, 2.4; 95% CI, 1.0–5.7) after multivariable adjustment and no difference in white matter hyperintensity or total brain volume. Conclusions— AF is independently associated with increase in subclinical cerebral infarction and worsening sulcal and ventricular grade—morphological changes associated with aging and dementia. More research is needed to define the mechanisms underlying AF-related neurodegeneration.


2021 ◽  
Author(s):  
Eilidh MacNicol ◽  
Paul Wright ◽  
Eugene Kim ◽  
Irene Brusini ◽  
Oscar Esteban ◽  
...  

Age-specific resources mitigate biases in human MRI processing arising from structural changes across the lifespan. There are fewer age-specific resources for preclinical imaging, and they only represent developmental periods rather than adulthood. Since rats recapitulate many facets of human aging, it was hypothesized that brain volume and each tissue’s relative contribution to total brain volume would change with age in the adult rat. However, the currently available tissue probability maps, which provide a priori information for tissue volume estimation, provide inaccurate grey matter probabilities in subcortical structures, particularly the thalamus. Consequently, age-specific templates and tissue probability maps were generated from a longitudinal study that scanned a cohort of rats at 3, 5, 11, and 17 months old. Mixed-effects models assessed the effect of age on brain, grey matter, white matter, and CSF volumes, and the relative tissue proportions. Grey and white matter volume increased with age, and the tissue proportions relative to total brain volume varied throughout adulthood. Furthermore, we present evidence of a systematic underestimation of thalamic grey matter volume with existing resources, which is mitigated with the use of age-specific tissue probability maps since the derived estimates better matched histological evidence. To reduce age-related biases in image pre-processing, a set of rat brain resources from across the adult lifespan is consequently released to expand the preclinical MRI community’s fundamental resources.


2019 ◽  
Vol 20 (7) ◽  
pp. 1744
Author(s):  
Danni Li ◽  
Jeffrey Misialek ◽  
Clifford Jack ◽  
Michelle Mielke ◽  
David Knopman ◽  
...  

Background: Plasma metabolites are associated with cognitive and physical function in the elderly. Because cerebral small vessel disease (SVD) and neurodegeneration are common causes of cognitive and physical function decline, the primary objective of this study was to investigate the associations of six plasma metabolites (two plasma phosphatidylcholines [PCs]: PC aa C36:5 and PC aa 36:6 and four sphingomyelins [SMs]: SM C26:0, SM [OH] C22:1, SM [OH] C22:2, SM [OH] C24:1) with magnetic resonance imaging (MRI) features of cerebral SVD and neurodegeneration in older adults. Methods: This study included 238 older adults in the Atherosclerosis Risk in Communities study at the fifth exam. Multiple linear regression was used to assess the association of each metabolite (log-transformed) in separate models with MRI measures except lacunar infarcts, for which binary logistic regression was used. Results: Higher concentrations of plasma PC aa C36:5 had adverse associations with MRI features of cerebral SVD (odds ratio of 1.69 [95% confidence interval: 1.01, 2.83] with lacunar infarct, and beta of 0.16 log [cm3] [0.02, 0.30] with log [White Matter Hyperintensities (WMH) volume]) while higher concentrations of 3 plasma SM (OH)s were associated with higher total brain volume (beta of 12.0 cm3 [5.5, 18.6], 11.8 cm3 [5.0, 18.6], and 7.3 cm3 [1.2, 13.5] for SM [OH] C22:1, SM [OH] C22:2, and SM [OH] C24:1, respectively). Conclusions: This study identified associations between certain plasma metabolites and brain MRI measures of SVD and neurodegeneration in older adults, particularly higher SM (OH) concentrations with higher total brain volume.


2022 ◽  
Vol 15 ◽  
Author(s):  
Eilidh MacNicol ◽  
Paul Wright ◽  
Eugene Kim ◽  
Irene Brusini ◽  
Oscar Esteban ◽  
...  

Age-specific resources in human MRI mitigate processing biases that arise from structural changes across the lifespan. There are fewer age-specific resources for preclinical imaging, and they only represent developmental periods rather than adulthood. Since rats recapitulate many facets of human aging, it was hypothesized that brain volume and each tissue's relative contribution to total brain volume would change with age in the adult rat. Data from a longitudinal study of rats at 3, 5, 11, and 17 months old were used to test this hypothesis. Tissue volume was estimated from high resolution structural images using a priori information from tissue probability maps. However, existing tissue probability maps generated inaccurate gray matter probabilities in subcortical structures, particularly the thalamus. To address this issue, gray matter, white matter, and CSF tissue probability maps were generated by combining anatomical and signal intensity information. The effects of age on volumetric estimations were then assessed with mixed-effects models. Results showed that herein estimation of gray matter volumes better matched histological evidence, as compared to existing resources. All tissue volumes increased with age, and the tissue proportions relative to total brain volume varied across adulthood. Consequently, a set of rat brain templates and tissue probability maps from across the adult lifespan is released to expand the preclinical MRI community's fundamental resources.


2019 ◽  
Author(s):  
Curtis W Dewey ◽  
Mark Rishniw ◽  
Philippa J Johnson ◽  
Emma S Davies ◽  
Joseph J Sackman ◽  
...  

The objective of this study was to compare specific brain MRI anatomic measurements between three groups of geriatric ( > 8yrs) dogs: 1) neurologically impaired dogs with presumptive spontaneous brain microhemorrhages and no clinical evidence of canine cognitive dysfunction 2) dogs with canine cognitive dysfunction 3) dogs without clinical evidence of cognitive impairment or abnormalities on neurologic examination (control dogs). MR images from 46 geriatric dogs were reviewed and measurements were obtained of interthalamic adhesion height (thickness) and mid-sagittal interthalamic adhesion area for all dogs, in addition to total brain volume. Interthalamic adhesion measurements, either absolute or normalized to total brain volume were compared between groups. Signalment (age, breed, sex), body weight, presence and number of SBMs, as well as other abnormal MRI findings were recorded for all dogs. All interthalamic adhesion measurement parameters were significantly (p<0.05) different between control dogs and affected dogs. Both dogs with cognitive dysfunction (12/13; 92 %) and dogs with isolated brain microhemorrhages had more microhemorrhages than control dogs (3/19; 16%). Affected dogs without cognitive dysfunction had more microhemorrhages than dogs with cognitive dysfunction. In addition to signs of cognitive impairment for the CCD group, main clinical complaints for SBM and CCD dogs were referable to central vestibular dysfunction, recent-onset seizure activity, or both. Geriatric dogs with spontaneous brain microhemorrhages without cognitive dysfunction have similar MRI abnormalities as dogs with cognitive dysfunction but may represent a distinct diseasecategory.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 976-976
Author(s):  
Kemar V. Prussien ◽  
Bruce E. Compas ◽  
Rachel Siciliano ◽  
R. Sky Jones ◽  
Abagail E. Ciriegio ◽  
...  

Abstract Introduction: Individuals with sickle cell anemia (SCA) are at increased risk for deficits in multiple domains of neurocognitive functioning, including executive functions. In addition to assessing the effects of silent cerebral infarcts (SCI) and stroke on cognition, prior research has focused on hemoglobin and transcranial Doppler velocity as hemodynamic correlates. Recent studies have begun to use more precise measures of blood delivery to the brain (e.g., cerebral blood flow; CBF) to determine more sensitive indicators of cognitive risk prior to neurological injury. Nevertheless, empirical and meta-analytic findings suggest that these deficits increase with age, which can have broad impact on psychosocial functioning, including self-management and navigation through the transition from pediatric to adult medical care. This study aimed to assess brain volume as a mediator of the association between CBF and executive functioning in a sample of individuals with SCA. The secondary aim was to assess age as a moderator of hemodynamic and structural correlates of executive function. Methods: Children, adolescents, and young adults with SCA were enrolled prospectively. Each participant received a 3-Tesla non-contrast magnetic resonance imaging and magnetic resonance angiography of the brain, and a neurological examination by the study neurologist. Gray matter CBF was calculated from pseudo-continuous arterial spin labeling using the solution to the flow-modified Bloch equation after correcting for individual hematocrit. Three measures of brain volume were also computed from 3D-T1 images using Freesurfer version 7.1.1: total brain volume, gray matter volume, and white matter volume was calculated as the difference between the two. At a separate study visit, participants completed an age-appropriate Wechsler Working Memory Index (WMI). Pearson correlations assessed bivariate associations among variables, SPSS PROCESS macro was used to test gray matter volume as a mediator in the relation between CBF and working memory, and multiple linear regression analyses tested age as a moderator of the impact of CBF and brain volume on working memory. Results: Twenty-nine children and adolescents (ages 6 to 17 years) and 25 adults (ages 18 to 31 years) were enrolled. Five participants were excluded from analyses due to history of overt stroke that resulted in significant brain volume loss. Of 49 included participants, 20 had SCIs. Working memory was inversely correlated with age (r = -.30, p = .037) and CBF (r = -.36, p = .013), such that WMI decreased cross-sectionally with older age and higher CBF. Working memory was positively correlated with gray matter volume (r = .42, p = .002); however, it was not related to white matter volume (r = -.05, p = .715) or total brain volume (r = -.07, p = .642). Finally, patient age was positively correlated with CBF (r = .36, p = .014), but the association of age with gray matter volume did not reach statistical significance (r = -.27, p = .065). Analyses in Figure 1 show that although CBF and gray matter were directly related to working memory (path c and path b, respectively), gray matter volume did not mediate the association between CBF and working memory (path a*b). However, regression analyses (Table 1) showed that age moderated the association between gray matter volume and working memory, such that there was only a significant relation in children and adolescents. This association did not exist for young adults (Figure 2). Conclusions: Neurocognitive assessments has been cited as an important standard of care for children and adolescents with SCA. Given the increase in deficits with age, and the increase in mortality after transferring from pediatric to adult care, monitoring executive function abilities and potential impact on self-management should continue into adulthood. Findings from the current study provide preliminary evidence that cerebral hemodynamic compensation with elevated CBF may be insufficient to prevent gray matter volume loss in children and adolescents and decline in working memory ability. Some limitations of the current study include small sample size and whole brain gray and white matter volumes as opposed to specific regions relevant to executive functions (e.g., prefrontal cortex); however, findings from global measures provide promising evidence for future research on hemodynamic and structural predictors of executive function in SCA. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.


2019 ◽  
Author(s):  
Curtis W Dewey ◽  
Mark Rishniw ◽  
Philippa J Johnson ◽  
Emma S Davies ◽  
Joseph J Sackman ◽  
...  

The objective of this study was to compare specific brain MRI anatomic measurements between three groups of geriatric ( > 8yrs) dogs: 1) neurologically impaired dogs with presumptive spontaneous brain microhemorrhages and no clinical evidence of canine cognitive dysfunction 2) dogs with canine cognitive dysfunction 3) dogs without clinical evidence of cognitive impairment or abnormalities on neurologic examination (control dogs). MR images from 46 geriatric dogs were reviewed and measurements were obtained of interthalamic adhesion height (thickness) and mid-sagittal interthalamic adhesion area for all dogs, in addition to total brain volume. Interthalamic adhesion measurements, either absolute or normalized to total brain volume were compared between groups. Signalment (age, breed, sex), body weight, presence and number of SBMs, as well as other abnormal MRI findings were recorded for all dogs. All interthalamic adhesion measurement parameters were significantly (p<0.05) different between control dogs and affected dogs. Both dogs with cognitive dysfunction (12/13; 92 %) and dogs with isolated brain microhemorrhages had more microhemorrhages than control dogs (3/19; 16%). Affected dogs without cognitive dysfunction had more microhemorrhages than dogs with cognitive dysfunction. In addition to signs of cognitive impairment for the CCD group, main clinical complaints for SBM and CCD dogs were referable to central vestibular dysfunction, recent-onset seizure activity, or both. Geriatric dogs with spontaneous brain microhemorrhages without cognitive dysfunction have similar MRI abnormalities as dogs with cognitive dysfunction but may represent a distinct diseasecategory.


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