Whole Brain Segmentation

Fischl, Bruce; Salat, David H.; Busa, Evelina; Albert, Marilyn; Dieterich, Megan E.; Haselgrove, Christian; Kouwe, André van der; Killiany, Ronald J.; Kennedy, David N.; Klaveness, Shuna; Montillo, Albert; Makris, Nikos; Rosen, Bruce R.; Dale, Anders M.

doi:10.1016/s0896-6273(02)00569-x

Cited by 7,729 publications

(3,592 citation statements)

References 90 publications

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“…The technical details and specific processing steps are described elsewhere (Dale, Fischl, & Sereno, 1999; Fischl, Sereno, & Dale, 1999; Fischl et al., 2002; Reuter, Schmansky, Rosas, & Fischl, 2012). Detailed post‐processing quality control was performed on all scans (see Appendix S1 for details).…”

Section: Methodsmentioning

confidence: 99%

Longitudinal structural brain development and externalizing behavior in adolescence

Bos

Wierenga

Blankenstein

et al. 2018

Child Psychology Psychiatry

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BackgroundCross‐sectional studies report relations between externalizing behavior and structural abnormalities in cortical thickness of prefrontal regions and volume reductions in subcortical regions. To understand how these associations emerge and develop, longitudinal designs are pivotal.MethodIn the current longitudinal study, a community sample of children, adolescents and young adults (N = 271) underwent magnetic resonance imaging (MRI) in three biennial waves (680 scans). At each wave, aspects of externalizing behavior were assessed with parent‐reported aggression and rule‐breaking scores (Child Behavior Checklist), and self‐reported aggression scores (Buss‐Perry Aggression Questionnaire). Regions of interest (ROIs) were selected based on prior research: dorsolateral prefrontal (dlPFC), orbitofrontal (OFC), anterior cingulate cortex (ACC), insula, and parahippocampal cortex, as well as subcortical regions. Linear mixed models were used to assess the longitudinal relation between externalizing behavior and structural brain development. Structural covariance analyses were employed to identify whether longitudinal relations between ROIs (maturational coupling) were associated with externalizing behavior.ResultsLinear mixed model analyses showed a negative relation between parent‐reported aggression and right hippocampal volume. Moreover, this longitudinal relation was driven by change in hippocampal volume and not initial volume of hippocampus at time point 1. Exploratory analyses showed that stronger maturational coupling between prefrontal regions, the limbic system, and striatum was associated with both low and high externalizing behavior.ConclusionsTogether, these findings reinforce the hypothesis that altered structural brain development coincides with development of more externalizing behavior. These findings may guide future research on normative and deviant development of externalizing behavior.

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Section: Methodsmentioning

confidence: 99%

Longitudinal structural brain development and externalizing behavior in adolescence

Bos

Wierenga

Blankenstein

et al. 2018

Child Psychology Psychiatry

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“…FreeSurfer enables the segmentation of both GM and WM as well as subcortical segmentation. The stages of processing implemented in this pipeline are fully described elsewhere [Desikan et al, 2006; Destrieux et al, 2010; Fischl et al, 2002, 2004]. Validation against manual segmentations has also been described [Fischl et al, 2002] and its results are considered robust across sessions, scanner platforms, updates, and field strengths [Jovicich et al, 2009].…”

Section: Methodsmentioning

confidence: 99%

The functional connectome of cognitive reserve

Marques

Moreira

Magalhães

et al. 2016

Human Brain Mapping

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Cognitive Reserve (CR) designates the brain's capacity to actively cope with insults through a more efficient use of its resources/networks. It was proposed in order to explain the discrepancies between the observed cognitive ability and the expected capacity for an individual. Typical proxies of CR include education and Intelligence Quotient but none totally account for the variability of CR and no study has shown if the brain's greater efficiency associated with CR can be measured. We used a validated model to estimate CR from the residual variance in memory and general executive functioning, accounting for both brain anatomical (i.e., gray matter and white matter signal abnormalities volume) and demographic variables (i.e., years of formal education and sex). Functional connectivity (FC) networks and topological properties were explored for associations with CR. Demographic characteristics, mainly accounted by years of formal education, were associated with higher FC, clustering, local efficiency and strength in parietal and occipital regions and greater network transitivity. Higher CR was associated with a greater FC, local efficiency and clustering of occipital regions, strength and centrality of the inferior temporal gyrus and higher global efficiency. Altogether, these findings suggest that education may facilitate the brain's ability to form segregated functional groups, reinforcing the view that higher education level triggers more specialized use of neural processing. Additionally, this study demonstrated for the first time that CR is associated with more efficient processing of information in the human brain and reinforces the existence of a fine balance between segregation and integration. Hum Brain Mapp 37:3310–3322, 2016.. © 2016 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.

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“…The technical aspects of these methods have been described elsewhere (Dale et al, 1999; Fischl et al, 1999; Fischl and Dale, 2000). In brief, the processing stream involves intensity non‐uniformity correction, Talairach registration, the removal of non‐brain tissue (skull stripping), segmentation of white matter (WM) and subcortical GM structures (Fischl et al, 2002), tessellation of the GM‐WM boundary then surface deformation following GM‐cerebrospinal fluid (CSF) intensity gradients to optimally place GM‐WM and GM‐CSF borders (Dale et al, 1999; Fischl and Dale, 2000). Once cortical models were generated, surface inflation, transformation to a spherical atlas and parcellation of the cerebral cortex into regions based on gyral and sulcal structure were undertaken (Makris et al, 2006).…”

Section: Methodsmentioning

confidence: 99%

The influence of hippocampal atrophy on the cognitive phenotype of dementia with Lewy bodies

Elder

Mactier

Colloby

et al. 2017

Int J Geriat Psychiatry

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ObjectiveThe level of hippocampal atrophy in dementia with Lewy bodies (DLB) is typically less than that observed in Alzheimer's disease (AD). However, it is not known how the cognitive phenotype of DLB is influenced by hippocampal atrophy or the atrophy of adjacent medial temporal lobe structures.MethodsDementia with Lewy bodies (n = 65), AD (n = 76) and control (n = 63) participants underwent 3T magnetic resonance imaging and cognitive Cambridge Cognitive Examination and Mini‐Mental State Examination (CAMCOG and MMSE) assessments. Hippocampal volume, and parahippocampal, entorhinal and temporal pole cortical thickness, was compared between groups. Regression models were used to investigate whether hippocampal volume and cortical thickness associated with global cognition and cognitive subdomains.ResultsDementia with Lewy bodies, AD and control participants showed significantly different hippocampal, parahippocampal and entorhinal cortical thinning, where atrophy was greatest in AD and intermediate in DLB. Temporal pole thickness was reduced in DLB and AD compared with control participants. In DLB, but not AD, hippocampal volume associated with total CAMCOG, CAMCOG memory and MMSE scores. In DLB, parahippocampal, entorhinal and temporal pole thickness associated with total CAMCOG and CAMCOG memory scores, parahippocampal thickness associated with MMSE scores, and entorhinal thickness associated with CAMCOG executive function scores.ConclusionsIn this large sample, these results are in agreement with other studies indicating that hippocampal atrophy is less severe in DLB than AD. Hippocampal atrophy and medial temporal lobe cortical thickness were associated with the severity of cognitive symptoms, suggesting that atrophy in these structures, as a potential proxy of AD pathology, may partly mediate specific DLB cognitive symptoms. © 2017 The Authors. International Journal of Geriatric Psychiatry Published by John Wiley & Sons Ltd.

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Whole Brain Segmentation

Cited by 7,729 publications

References 90 publications

Longitudinal structural brain development and externalizing behavior in adolescence

Longitudinal structural brain development and externalizing behavior in adolescence

The functional connectome of cognitive reserve

The influence of hippocampal atrophy on the cognitive phenotype of dementia with Lewy bodies

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