Patterns of cortical thinning in the language variants of frontotemporal lobar degeneration

Rohrer, Jonathan D.; Warren, Jason D.; Modat, Marc; Ridgway, Gerard R.; Douiri, Abdel; Rossor, Martin N.; Ourselin, Sébastien; Fox, Nick C.

doi:10.1212/wnl.0b013e3181a4124e

Cited by 239 publications

(229 citation statements)

References 43 publications

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“…We further investigated the reliability of focal atrophy across individual patients and found that 100% of individuals in both svPPA samples had one of their maximally atrophic points in the same temporopolar region. Beyond the anterior temporal cortex, patients with svPPA exhibit less prominent neurodegeneration in distributed cortical and subcortical regions (Mummery et al, 2000;Rosen et al, 2002;Gorno-Tempini et al, 2004;Brambati et al, 2009;Rohrer et al, 2009). As predicted, the focal atrophy point identified in our cortical thickness analysis was interconnected with a network of brain regions in healthy adults that closely resembled the distributed cortical atrophy pattern of svPPA patients, replicating previous findings .…”

Section: Discussionsupporting

confidence: 88%

“…Prior work aiming to localize the most prominent degenerative change in svPPA has produced a variety of results, including the anterior fusiform or inferior temporal gyrus , temporal pole (Mummery et al, 2000;Galton et al, 2001;Davies et al, 2009;Rohrer et al, 2009), entorhinal cortex (Chan et al, 2001), and perirhinal cortex (La Joie et al, 2014). This variability likely reflects differences in the neuroimaging analysis technique used and biological variability between patient samples.…”

Section: Reliability Of Focal Atrophy In Svppamentioning

confidence: 99%

“…While some studies have localized the area of greatest degenerative change to the anterior fusiform or inferior temporal gyrus , others consider the temporal pole (Mummery et al, 2000;Galton et al, 2001;Davies et al, 2009;Rohrer et al, 2009), entorhinal cortex (Chan et al, 2001), or perirhinal cortex (La Joie et al, 2014) to be the most prominent region of neurodegeneration. Although these discrepancies might be the result of biological variability between samples, they may also arise from differences in the neuroimaging analysis techniques used, which include voxel-based (VBM; Mummery et al, 2000;Gorno-Tempini et al, 2004;Seeley et al, 2009), manual region of interest tracing (Chan et al, 2001;Galton et al, 2001), cortical thickness analyses (Rohrer et al, 2009), or voxel-based analysis of hypometabolism obtained using 18 Fluorodeoxyglucose (FDG-PET; La Joie et al, 2014). No studies have attempted to assess the reliability of effects across multiple samples of patients with svPPA.…”

Section: Introductionmentioning

confidence: 99%

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P2‐241: Focal Temporal Pole Atrophy and Network Degeneration in Semantic Variant Primary Progressive Aphasia

Dickerson

Collins

Montal

et al. 2016

Alzheimer's & Dementia

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A wealth of neuroimaging research has associated semantic variant primary progressive aphasia with distributed cortical atrophy that is most prominent in the left anterior temporal cortex; however, there is little consensus regarding which region within the anterior temporal cortex is most prominently damaged, which may indicate the putative origin of neurodegeneration. In this study, we localized the most prominent and consistent region of atrophy in semantic variant primary progressive aphasia using cortical thickness analysis in two independent patient samples (n = 16 and 28, respectively) relative to age-matched controls (n = 30). Across both samples the point of maximal atrophy was located in the same region of the left temporal pole. This same region was the point of maximal atrophy in 100% of individual patients in both semantic variant primary progressive aphasia samples. Using resting state functional connectivity in healthy young adults (n = 89), we showed that the seed region derived from the semantic variant primary progressive aphasia analysis was strongly connected with a large-scale network that closely resembled the distributed atrophy pattern in semantic variant primary progressive aphasia. In both patient samples, the magnitude of atrophy within a brain region was predicted by that region's strength of functional connectivity to the temporopolar seed region in healthy adults. These findings suggest that cortical atrophy in semantic variant primary progressive aphasia may follow connectional pathways within a large-scale network that converges on the temporal pole.

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Section: Discussionsupporting

confidence: 88%

Section: Reliability Of Focal Atrophy In Svppamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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P2‐241: Focal Temporal Pole Atrophy and Network Degeneration in Semantic Variant Primary Progressive Aphasia

Dickerson

Collins

Montal

et al. 2016

Alzheimer's & Dementia

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“…A diagnosis of PNFA was made based on modified Neary criteria with patients having a speech production impairment characterised by apraxia of speech and agrammatism. Some of these subjects' data have been used in previous studies (Rohrer et al, 2009;Lehmann et al, 2010b,a). All subjects had volumetric MRI acquired on four different 1.5T GE Signa scanners (General Electric, Milwaukee, WI).…”

Section: Cohortmentioning

confidence: 99%

“…The thickness of the cortex is of interest as it develops, follows the normal ageing process and changes under a wide variety of neurodegenerative diseases. Recently, imaging studies of cortical thickness have compared the group-wise differences between healthy control subjects and patients with conditions such as sporadic and familial Alzheimer's disease (AD) Gutierrez-Galve et al, 2009;Knight et al, 2009), fronto-temporal lobar degeneration (FTLD) (Du et al, 2007;Rohrer et al, 2009), posterior cortical atrophy , multiple sclerosis (Sailer et al, 2003), Huntington's disease (Rosas et al, 2008), and the changes that occur in healthy controls under normal ageing (Salat et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

A comparison of voxel and surface based cortical thickness estimation methods

et al. 2011

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Cortical thickness estimation performed in-vivo via magnetic resonance imaging is an important technique for the diagnosis and understanding of the progression of neurodegenerative diseases. Currently, two different computational paradigms exist, with methods generally classified as either surface or voxel-based. This paper provides a much needed comparison of the surface-based method FreeSurfer and two voxel-based methods using clinical data. We test the effects of computing regional statistics using two different atlases and demonstrate that this makes a significant difference to the cortical thickness results. We assess reproducibility, and show that FreeSurfer has a regional standard deviation of thickness difference on same day scans that is significantly lower than either a Laplacian or Registration based method and discuss the trade off between reproducibility and segmentation accuracy caused by bending energy constraints. We demonstrate that voxel-based methods can detect similar patterns of group-wise differences as well as FreeSurfer in typical applications such as producing group-wise maps of statistically significant thickness change, but that regional statistics can vary between methods. We use a Support Vector Machine to classify patients against controls and did not find statistically significantly different results with voxel based methods compared to FreeSurfer. Finally we assessed longitudinal performance and concluded that currently FreeSurfer provides the most plausible measure of change over time, with further work required for voxel based methods.

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Neural Correlates of Semantic Processing in Reading Aloud

Graves

Binder

Seidenberg

et al. 2012

The Handbook of the Neuropsychology of Language

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Neural correlates of semantic processing in reading aloudFor over a century, beginning at least as early as Cattell (1886), experimental psychologists have investigated the mental processes involved in reading single words aloud. For writing systems such as English, the task is challenging because of the many inconsistencies in the correspondences between spelling and sound. Early investigations into the neural systems supporting this task relied on autopsy studies, which established some of the critical brain regions responsible for acquired alexia (Déjerine, 1892). Integration of experimental and anatomical data, on the other hand, began comparatively recently, spurred in particular by the advent of non-invasive functional brain imaging. Reading aloud is thought to involve a combination of orthographic (visual word form), phonological (word sound), and perhaps semantic (word meaning) information processing. Although the necessity for orthographic and phonological processing is undisputed, the degree to which semantic information is recruited to aid in reading aloud is a matter of debate. One possibility is that, for example, words with unusual correspondences between spelling and sound (e.g., YACHT, COLONEL) might benefit more from the collateral recruitment of semantic codes than words with more regular spellingsound correspondences (Plaut, McClelland, Seidenberg, & Patterson, 1996).Although there is agreement that semantic information is not always necessary for singleword reading aloud, two major cognitive and computational models posit very different roles for semantic processing in this task. Dual-route models, such as the dual-route cascaded (DRC) model, propose two separate pathways, one that implements a set of grapheme-phoneme correspondence (GPC) rules for mapping letter combinations to sound combinations (Coltheart,

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Patterns of cortical thinning in the language variants of frontotemporal lobar degeneration

Abstract: The language variants of frontotemporal lobar degeneration have distinctive and significantly different patterns of cortical thinning. Increasing disease severity is associated with spread of cortical thinning and the pattern of spread is consistent with progression of clinical deficits.

Cited by 239 publications

References 43 publications

P2‐241: Focal Temporal Pole Atrophy and Network Degeneration in Semantic Variant Primary Progressive Aphasia

P2‐241: Focal Temporal Pole Atrophy and Network Degeneration in Semantic Variant Primary Progressive Aphasia

A comparison of voxel and surface based cortical thickness estimation methods

Neural Correlates of Semantic Processing in Reading Aloud

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