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.

Abstract 47: White Matter Atrophy in Cerebral Amyloid Angiopathy

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Panagiotis Fotiadis ◽  
Aaron Schultz ◽  
Trey Hedden ◽  
Sergi Martinez-Ramirez ◽  
Yael Reijmer ◽  
...  
Keyword(s):  
White Matter ◽  
Cerebral Amyloid Angiopathy ◽  
Cortical Thickness ◽  
Tissue Loss ◽  
White Matter Hyperintensity ◽  
Aging Brain ◽  
Amyloid Angiopathy ◽  
Intracranial Volume ◽  
White Matter Volume ◽  
Cerebral Amyloid

Background/Purpose: Cerebral Amyloid Angiopathy (CAA) leads to leukoaraiosis, lacunar infarcts and cortical tissue loss. We hypothesized that CAA is also associated with white matter atrophy (WMA). Methods: We have compared volumetric multimodal MRIs from 72 prospectively enrolled non-demented patients with probable CAA (per Boston criteria), to 3 other well-studied cohorts: 289 Healthy Controls (HC) from the Harvard Aging Brain (HAB) study, 231 HC and 198 patients with AD from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Validated FreeSurfer algorithms were used to calculate White Matter Volume (WMV), white matter hyperintensity volume (WMHv), and cortical thickness. Microbleeds (MBs) were counted on SWI-MRI. Measures were obtained from the contralateral hemisphere if intracerebral hemorrhage present. All volumes were corrected for total intracranial volume (ICV), so reported as percent of ICV. Results: The CAA patients were significantly younger (mean age: 70.1) compared to both HC cohorts (ADNI-HC: 76.0, p<0.001, HAB-HC: 73.8, p < 0.001), and to patients with AD (75.5, p < 0.001). Despite being younger, patients with CAA presented significantly lower global WMV (28% ± 2.6) than both ADNI-HC (29.2% ± 2.2, p < 0.001), HAB-HC (29.0% ± 2.5, p = 0.001), and patients with AD (28.7% ± 2.2, p = 0.02) [Figure]. The association persisted after correcting for age, gender and WMHv. Within the CAA cohort, there was a negative correlation between WMV and lobar MB counts (rho = -0.26, p = 0.03), it remained significant after correcting for age, gender, WMHv (p=0.016). There were no significant associations however between WMV and neither WMHv, nor cortical thickness (both p>0.2). Conclusions: Patients with CAA show WMA when compared to older HC and AD. WMA independently correlates with MBs, a marker of CAA severity. Consistent spatial patterns of atrophy especially in posterior regions when compared to both HC and AD [Figure] might represent the “WMA signature of CAA”.

scholarly journals The Concurrence of Cortical Surface Area Expansion and White Matter Myelination in Human Brain Development

2018 ◽  
Vol 29 (2) ◽  
pp. 827-837 ◽  
Author(s):  
Riccardo Cafiero ◽  
Jens Brauer ◽  
Alfred Anwander ◽  
Angela D Friederici
Keyword(s):  
White Matter ◽  
Human Brain ◽  
Brain Development ◽  
Surface Area ◽  
Cortical Surface ◽  
Cortical Surface Area ◽  
Human Brain Development ◽  
Area Expansion

White matter architecture rather than cortical surface area correlates with the EEG alpha rhythm

NeuroImage ◽  
2010 ◽  
Vol 49 (3) ◽  
pp. 2328-2339 ◽  
Author(s):  
Pedro A. Valdés-Hernández ◽  
Alejandro Ojeda-González ◽  
Eduardo Martínez-Montes ◽  
Agustín Lage-Castellanos ◽  
Trinidad Virués-Alba ◽  
...  
Keyword(s):  
White Matter ◽  
Surface Area ◽  
Alpha Rhythm ◽  
Cortical Surface ◽  
Cortical Surface Area ◽  
Eeg Alpha

Cortical surface area and cortical thickness in the precuneus of adult humans

Neuroscience ◽  
2015 ◽  
Vol 286 ◽  
pp. 345-352 ◽  
Author(s):  
E. Bruner ◽  
F.J. Román ◽  
J.M. de la Cuétara ◽  
M. Martin-Loeches ◽  
R. Colom
Keyword(s):  
Surface Area ◽  
Cortical Thickness ◽  
Cortical Surface ◽  
Cortical Surface Area ◽  
Adult Humans

scholarly journals Cortical thickness and surface area relate to specific symptoms in early relapsing–remitting multiple sclerosis

2014 ◽  
Vol 21 (4) ◽  
pp. 402-414 ◽  
Author(s):  
Gro O Nygaard ◽  
Kristine B Walhovd ◽  
Piotr Sowa ◽  
Joy-Loi Chepkoech ◽  
Atle Bjørnerud ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Surface Area ◽  
Cortical Thickness ◽  
Clinical Symptoms ◽  
Cortical Surface ◽  
Healthy Controls ◽  
Neurological Disability ◽  
Cortical Surface Area ◽  
Relapsing Remitting ◽  
Relapsing Remitting Multiple Sclerosis

Background: Cortical atrophy is common in early relapsing–remitting multiple sclerosis (RRMS). Whether this atrophy is caused by changes in cortical thickness or cortical surface area is not known, nor is their separate contributions to clinical symptoms. Objectives: To investigate the difference in cortical surface area, thickness and volume between early RRMS patients and healthy controls; and the relationship between these measures and neurological disability, cognitive decline, fatigue and depression. Methods: RRMS patients ( n = 61) underwent magnetic resonance imaging (MRI), neurological and neuropsychological examinations. We estimated cortical surface area, thickness and volume and compared them with matched healthy controls ( n = 61). We estimated the correlations between clinical symptoms and cortical measures within the patient group. Results: We found no differences in cortical surface area, but widespread differences in cortical thickness and volume between the groups. Neurological disability was related to regionally smaller cortical thickness and volume. Better verbal memory was related to regionally larger surface area; and better visuo-spatial memory, to regionally larger cortical volume. Higher depression scores and fatigue were associated with regionally smaller cortical surface area and volume. Conclusions: We found that cortical thickness, but not cortical surface area, is affected in early RRMS. We identified specific structural correlates to the main clinical symptoms in early RRMS.

Quantification of Cortical Thickness and Cortical Surface Area Abnormalities in Patients Affected by Migraine (S16.005)

Neurology ◽  
2012 ◽  
Vol 78 (Meeting Abstracts 1) ◽  
pp. S16.005-S16.005
Author(s):  
R. Messina ◽  
M. Rocca ◽  
P. Valsasina ◽  
B. Colombo ◽  
A. Falini ◽  
...  
Keyword(s):  
Surface Area ◽  
Cortical Thickness ◽  
Cortical Surface ◽  
Cortical Surface Area

scholarly journals 1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans

2021 ◽  
Author(s):  
Ida E. Sønderby ◽  
Dennis van der Meer ◽  
Clara Moreau ◽  
Tobias Kaufmann ◽  
G. Bragi Walters ◽  
...  
Keyword(s):  
Surface Area ◽  
Neurodevelopmental Disorders ◽  
Copy Number ◽  
Dose Effect ◽  
Intracranial Volume ◽  
Cortical Surface ◽  
Uk Biobank ◽  
Cortical Surface Area ◽  
Dosage Effects ◽  
The Uk

Low-frequency 1q21.1 distal deletion and duplication copy number variant (CNV) carriers are predisposed to multiple neurodevelopmental disorders including schizophrenia, autism and intellectual disability. Human carriers display a high prevalence of micro- and macrocephaly in deletion and duplication carriers, respectively. The underlying brain structural diversity remains largely unknown.We systematically called CNVs in 38 cohorts from the large-scale ENIGMA-CNV collaboration and the UK biobank and identified 28 1q21.1 distal deletion and 22 duplication carriers and 37,088 non-carriers (48 % male) derived from 15 distinct MRI scanner sites. With standardized methods, we compared subcortical and cortical brain measures (all) and cognitive performance (UK biobank only) between carrier groups also testing for mediation of brain structure on cognition. We identified positive dosage effects of copy number on intracranial volume (ICV) and total cortical surface area, with largest effects in frontal and cingulate cortices, and negative dosage effects on caudate and hippocampal volumes. The carriers displayed distinct cognitive deficit profiles in cognitive tasks from the UK biobank with intermediate decreases in duplication carriers and somewhat larger in deletion carriers – the latter potentially mediated by ICV or cortical surface area. These results shed light on pathobiological mechanisms of neurodevelopmental disorders, by demonstrating gene dose effect on specific brain structures and effect on cognitive function.

274. MIR137 Influences White Matter Fractional Anisotropy and Cortical Surface Area in Individuals with High Genetic Risk for Psychosis

2017 ◽  
Vol 81 (10) ◽  
pp. S112-S113
Author(s):  
Bob Vogel ◽  
Tristram Lett ◽  
Susanne Erk ◽  
Sebastian Mohnke ◽  
Carolin Wackerhagen ◽  
...  
Keyword(s):  
White Matter ◽  
Surface Area ◽  
Fractional Anisotropy ◽  
Genetic Risk ◽  
Cortical Surface ◽  
Cortical Surface Area ◽  
High Genetic Risk
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