Examining the neurostructural architecture of intelligence: The Lothian Birth Cohort 1936 study

IF 3.2 2区 心理学 Q1 BEHAVIORAL SCIENCES Cortex Pub Date : 2024-06-26 DOI:10.1016/j.cortex.2024.06.007
{"title":"Examining the neurostructural architecture of intelligence: The Lothian Birth Cohort 1936 study","authors":"","doi":"10.1016/j.cortex.2024.06.007","DOIUrl":null,"url":null,"abstract":"<div><p>Examining underlying neurostructural correlates of specific cognitive abilities is practically and theoretically complicated by the existence of the positive manifold (all cognitive tests positively correlate): if a brain structure is associated with a cognitive task, how much of this is uniquely related to the cognitive domain, and how much is due to covariance with all other tests across domains (captured by general cognitive functioning, also known as general intelligence, or ‘<em>g</em>’)? We quantitatively address this question by examining associations between brain structural and diffusion MRI measures (global tissue volumes, white matter hyperintensities, global white matter diffusion fractional anisotropy and mean diffusivity, and FreeSurfer processed vertex-wise cortical volumes, smoothed at 20mm fwhm) with <em>g</em> and cognitive domains (processing speed, crystallised ability, memory, visuospatial ability). The cognitive domains were modelled using confirmatory factor analysis to derive both hierarchical and bifactor solutions using 13 cognitive tests in 697 participants from the Lothian Birth Cohort 1936 study (mean age 72.5 years; SD = .7). Associations between the extracted cognitive factor scores for each domain and <em>g</em> were computed for each brain measure covarying for age, sex and intracranial volume, and corrected for false discovery rate.</p><p>There were a range of significant associations between cognitive domains and global MRI brain structural measures (<em>r</em> range .008 to .269, <em>p</em> &lt; .05). Regions implicated by vertex-wise regional cortical volume included a widespread number of medial and lateral areas of the frontal, temporal and parietal lobes. However, at both global and regional level, much of the domain-MRI associations were shared (statistically accounted for by <em>g</em>). Removing <em>g</em>-related variance from cognitive domains attenuated association magnitudes with global brain MRI measures by 27.9–59.7% (M = 46.2%), with only processing speed retaining all significant associations. At the regional cortical level, <em>g</em> appeared to account for the majority (range 22.1–88.4%; M = 52.8% across cognitive domains) of regional domain-specific associations. Crystallised and memory domains had almost no unique cortical correlates, whereas processing speed and visuospatial ability retained limited cortical volumetric associations. The greatest spatial overlaps across cognitive domains (as denoted by <em>g</em>) were present in the medial and lateral temporal, lateral parietal and lateral frontal areas.</p></div>","PeriodicalId":10758,"journal":{"name":"Cortex","volume":"178 ","pages":"Pages 269-286"},"PeriodicalIF":3.2000,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0010945224001771/pdfft?md5=4a114e6a91b94875ce3bdd311dc38d13&pid=1-s2.0-S0010945224001771-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cortex","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0010945224001771","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BEHAVIORAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Examining underlying neurostructural correlates of specific cognitive abilities is practically and theoretically complicated by the existence of the positive manifold (all cognitive tests positively correlate): if a brain structure is associated with a cognitive task, how much of this is uniquely related to the cognitive domain, and how much is due to covariance with all other tests across domains (captured by general cognitive functioning, also known as general intelligence, or ‘g’)? We quantitatively address this question by examining associations between brain structural and diffusion MRI measures (global tissue volumes, white matter hyperintensities, global white matter diffusion fractional anisotropy and mean diffusivity, and FreeSurfer processed vertex-wise cortical volumes, smoothed at 20mm fwhm) with g and cognitive domains (processing speed, crystallised ability, memory, visuospatial ability). The cognitive domains were modelled using confirmatory factor analysis to derive both hierarchical and bifactor solutions using 13 cognitive tests in 697 participants from the Lothian Birth Cohort 1936 study (mean age 72.5 years; SD = .7). Associations between the extracted cognitive factor scores for each domain and g were computed for each brain measure covarying for age, sex and intracranial volume, and corrected for false discovery rate.

There were a range of significant associations between cognitive domains and global MRI brain structural measures (r range .008 to .269, p < .05). Regions implicated by vertex-wise regional cortical volume included a widespread number of medial and lateral areas of the frontal, temporal and parietal lobes. However, at both global and regional level, much of the domain-MRI associations were shared (statistically accounted for by g). Removing g-related variance from cognitive domains attenuated association magnitudes with global brain MRI measures by 27.9–59.7% (M = 46.2%), with only processing speed retaining all significant associations. At the regional cortical level, g appeared to account for the majority (range 22.1–88.4%; M = 52.8% across cognitive domains) of regional domain-specific associations. Crystallised and memory domains had almost no unique cortical correlates, whereas processing speed and visuospatial ability retained limited cortical volumetric associations. The greatest spatial overlaps across cognitive domains (as denoted by g) were present in the medial and lateral temporal, lateral parietal and lateral frontal areas.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
研究智力的神经结构:1936 年洛锡安出生队列研究
由于正流形(所有认知测试都呈正相关)的存在,研究特定认知能力的潜在神经结构相关性在实践和理论上都变得复杂:如果大脑结构与认知任务相关,那么其中有多少是与认知领域独特相关的,又有多少是由于与所有其他跨领域测试的协方差(由一般认知功能,也称为一般智力或"")造成的?我们通过研究大脑结构和弥散 MRI 测量(总体组织体积、白质高密度、总体白质弥散分数各向异性和平均弥散度,以及 FreeSurfer 处理的顶点皮层体积,以 20 毫米 fwhm 平滑化)与认知领域(处理速度、晶体化能力、记忆力、视觉空间能力)之间的关联,定量地解决了这一问题。认知领域的建模采用确证因子分析法,通过对 1936 年洛锡安出生队列研究的 697 名参与者(平均年龄 72.5 岁;SD = .7)进行 13 项认知测试,得出分层和双因子解决方案。计算了提取的认知因子得分与年龄、性别和颅内容积的协变量之间的关联,并校正了误发现率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Cortex
Cortex 医学-行为科学
CiteScore
7.00
自引率
5.60%
发文量
250
审稿时长
74 days
期刊介绍: CORTEX is an international journal devoted to the study of cognition and of the relationship between the nervous system and mental processes, particularly as these are reflected in the behaviour of patients with acquired brain lesions, normal volunteers, children with typical and atypical development, and in the activation of brain regions and systems as recorded by functional neuroimaging techniques. It was founded in 1964 by Ennio De Renzi.
期刊最新文献
Shared body representation constraints in human and non-human primates behavior Exploring the development of past and future episodic memory in adolescents with autism spectrum disorder: A preliminary longitudinal study Distinct connectivity patterns between perception and attention-related brain networks characterize dyslexia: Machine learning applied to resting-state fMRI. Do total hippocampus and hippocampal subfield volumes relate to navigation ability? A call towards methodological consistency. Speech perception and language comprehension in primary progressive aphasia.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1