Regional and progressive thinning of the cortical ribbon in Huntington’s disease

Rosas, H. Diana; Liu, A. K.; Hersch, Steve M.; Glessner, Maureen; Ferrante, RJ; Salat, David H.; Kouwe, André van der; Jenkins, Bruce G.; Dale, Anders M.; Fischl, Bruce

doi:10.1212/wnl.58.5.695

Cited by 981 publications

(758 citation statements)

References 26 publications

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“…Cortical GM thickness was calculated as the distance between the GM‐WM boundary (“white” surface) and the outer cortical surface (“pial” surface) at each point across the cortical mantle. This surface‐based thickness estimation is not restricted to voxel resolution of the original T1w image and can detect sub‐millimeter differences between groups [Fischl and Dale, 2000] validated with both histology and manual tracing [Rosas et al, 2002; Kuperberg et al, 2003]. …”

Section: Methodsmentioning

confidence: 99%

“…Structural magnetic resonance imaging (MRI) can provide high‐resolution measurements of gray and white matter anatomy that are often the focus of within‐ and between‐participant comparisons of aging [see Dickerson et al, 2009; Fjell et al, 2009; Fotenos et al, 2005], development [e.g., Tamnes et al, 2010], clinical disorders [e.g., Cannon et al, 2015; Dickerson et al, 2009; Kempton et al, 2011], and therapeutic intervention [e.g., Bearden et al, 2008; Dazzan et al, 2005]. In practice, structural MRI scans are readily analyzed with convenient, automated image segmentation tools that derive measurements from an individual's regional neuroanatomy (e.g., thickness, surface area, volume), often implemented with freely available software packages [e.g., FreeSurfer [FS], VBM8, FSL‐VBM; Ashburner and Friston, 2000; Dale et al, 1999; Fischl et al, 1999a; Smith et al, 2004] that have been externally validated with manual tracing and post‐mortem analyses [Cardinale et al, 2014; Kennedy et al, 2009; Kuperberg et al, 2003; Rosas et al, 2002; Salat et al, 2004; Sanchez‐Benavides et al, 2010]. …”

Section: Introductionmentioning

confidence: 99%

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Motion‐related artifacts in structural brain images revealed with independent estimates of in‐scanner head motion

Savalia

Agres

Chan

et al. 2016

Human Brain Mapping

174

189

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Motion‐contaminated T1‐weighted (T1w) magnetic resonance imaging (MRI) results in misestimates of brain structure. Because conventional T1w scans are not collected with direct measures of head motion, a practical alternative is needed to identify potential motion‐induced bias in measures of brain anatomy. Head movements during functional MRI (fMRI) scanning of 266 healthy adults (20–89 years) were analyzed to reveal stable features of in‐scanner head motion. The magnitude of head motion increased with age and exhibited within‐participant stability across different fMRI scans. fMRI head motion was then related to measurements of both quality control (QC) and brain anatomy derived from a T1w structural image from the same scan session. A procedure was adopted to “flag” individuals exhibiting excessive head movement during fMRI or poor T1w quality rating. The flagging procedure reliably reduced the influence of head motion on estimates of gray matter thickness across the cortical surface. Moreover, T1w images from flagged participants exhibited reduced estimates of gray matter thickness and volume in comparison to age‐ and gender‐matched samples, resulting in inflated effect sizes in the relationships between regional anatomical measures and age. Gray matter thickness differences were noted in numerous regions previously reported to undergo prominent atrophy with age. Recommendations are provided for mitigating this potential confound, and highlight how the procedure may lead to more accurate measurement and comparison of anatomical features. Hum Brain Mapp 38:472–492, 2017. © 2016 Wiley Periodicals, Inc.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Motion‐related artifacts in structural brain images revealed with independent estimates of in‐scanner head motion

Savalia

Agres

Chan

et al. 2016

Human Brain Mapping

174

189

View full text Add to dashboard Cite

show abstract

“…Note that the surface‐based cortical thickness maps were not restricted by the voxel size, which enabled us to detect changes in cortical thickness at submillimeter level. Furthermore, procedures to measure cortical thickness using Freesurfer have been validated against histological analysis (Rosas et al., 2002) and manual measurements (Kuperberg et al., 2003; Salat et al., 2004). Lastly, Freesurfer morphometric procedures have been demonstrated to show good test–retest reliability across scanner manufacturers and field strengths (Han et al., 2006; Reuter, Schmansky, Rosas, & Fischl, 2012).…”

Section: Methodsmentioning

confidence: 99%

Strategy‐based reasoning training modulates cortical thickness and resting‐state functional connectivity in adults with chronic traumatic brain injury

et al. 2017

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IntroductionPrior studies have demonstrated training‐induced changes in the healthy adult brain. Yet, it remains unclear how the injured brain responds to cognitive training months‐to‐years after injury.MethodsSixty individuals with chronic traumatic brain injury (TBI) were randomized into either strategy‐based (N = 31) or knowledge‐based (N = 29) training for 8 weeks. We measured cortical thickness and resting‐state functional connectivity (rsFC) before training, immediately posttraining, and 3 months posttraining.ResultsRelative to the knowledge‐based training group, the cortical thickness of the strategy‐based training group showed diverse temporal patterns of changes over multiple brain regions (p vertex < .05, p cluster < .05): (1) increases followed by decreases, (2) monotonic increases, and (3) monotonic decreases. However, network‐based statistics (NBS) analysis of rsFC among these regions revealed that the strategy‐based training group induced only monotonic increases in connectivity, relative to the knowledge‐based training group (|Z| > 1.96, pNBS < 0.05). Complementing the rsFC results, the strategy‐based training group yielded monotonic improvement in scores for the trail‐making test (p < .05). Analyses of brain–behavior relationships revealed that improvement in trail‐making scores were associated with training‐induced changes in cortical thickness (p vertex < .05, p cluster < .05) and rsFC (p vertex < .05, p cluster < .005) within the strategy‐based training group.ConclusionsThese findings suggest that training‐induced brain plasticity continues through chronic phases of TBI and that brain connectivity and cortical thickness may serve as markers of plasticity.

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“…All processing was carried out on the same 32‐core computer with the same software version (5.1.0; http://surfer.nmr.mgh.harvard.edu). FreeSurfer has been validated against histological analysis (Rosas et al., 2002) and manual measurements (Kuperberg et al., 2003). Processing steps have been detailed elsewhere (Dale, Fischl, & Sereno, 1999; Fischl, Sereno, & Dale, 1999; Han et al., 2006).…”

Section: Methodsmentioning

confidence: 99%

Change in emotional self‐concept following socio‐cognitive training relates to structural plasticity of the prefrontal cortex

et al. 2018

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IntroductionSelf‐referential processing is a key component of the emotional self‐concept. Previous studies have shown that emotional self‐referential processing is related to structure and function of cortical midline areas such as medial prefrontal cortex (mPFC), and that it can be altered on a behavioral level by specific mental training practices. However, it remains unknown how behavioral training‐related change in emotional self‐concept content relates to structural plasticity.MethodsTo address this issue, we examined the relationship between training‐induced change in participant's emotional self‐concept measured through emotional word use in the Twenty Statement Test and change in cortical thickness in the context of a large‐scale longitudinal mental training study called the ReSource Project.ResultsBased on prior behavioral findings showing increased emotional word use particularly after socio‐cognitive training targeting perspective‐taking capacities, this study extended these results by revealing that individual differences in the degree to which participants changed their emotional self‐concept after training was positively related to cortical thickness change in right mPFC extending to dorsolateral PFC (dlPFC). Furthermore, increased self‐related negative emotional word use after training was positively associated with cortical thickness change in left pars orbitalis and bilateral dlPFC.ConclusionsOur findings reveal training‐related structural brain change in regions known to be involved in self‐referential processing and cognitive control, and could indicate a relationship between restructuring of the emotional self‐concept content as well as reappraisal of negative aspects and cortical thickness change. As such, our findings can guide the development of psychological interventions targeted to alter specific facets of the self‐concept.

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Regional and progressive thinning of the cortical ribbon in Huntington’s disease

Cited by 981 publications

References 26 publications

Motion‐related artifacts in structural brain images revealed with independent estimates of in‐scanner head motion

Motion‐related artifacts in structural brain images revealed with independent estimates of in‐scanner head motion

Strategy‐based reasoning training modulates cortical thickness and resting‐state functional connectivity in adults with chronic traumatic brain injury

Change in emotional self‐concept following socio‐cognitive training relates to structural plasticity of the prefrontal cortex

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