Medial temporal cortices in ex vivo magnetic resonance imaging

Augustinack, Jean C.; Kouwe, André van der; Fischl, Bruce

doi:10.1002/cne.23432

Cited by 24 publications

(21 citation statements)

References 85 publications

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“…Although data-driven approaches appear to have several advantages, detailed anatomical analyses are likely to continue to contribute to an improved understanding of neurodegeneration in FTLD and AD. In particular there has been an emergence of promising high-field imaging methods [Kerchner, 2011] in AD, some of which include ex vivo histopathological validation [Adler et al, 2014;Augustinack et al, 2013]. However, there is still substantial work required to translate these sophisticated techniques into clinical practice.…”

Section: Additional Advantages Of Data-driven Statistical Approaches mentioning

confidence: 99%

The power of neuroimaging biomarkers for screening frontotemporal dementia

McMillan

Avants

Cook

et al. 2014

Human Brain Mapping

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Frontotemporal dementia (FTD) is a clinically and pathologically heterogeneous neurodegenerative disease that can result from either frontotemporal lobar degeneration (FTLD) or Alzheimer’s disease (AD) pathology. It is critical to establish statistically powerful biomarkers that can achieve substantial cost-savings and increase feasibility of clinical trials. We assessed three broad categories of neuroimaging methods to screen underlying FTLD and AD pathology in a clinical FTD series: global measures (e.g., ventricular volume), anatomical volumes of interest (VOIs) (e.g., hippocampus) using a standard atlas, and data-driven VOIs using Eigenanatomy. We evaluated clinical FTD patients (N=93) with cerebrospinal fluid, gray matter (GM) MRI, and diffusion tensor imaging (DTI) to assess whether they had underlying FTLD or AD pathology. Linear regression was performed to identify the optimal VOIs for each method in a training dataset and then we evaluated classification sensitivity and specificity in an independent test cohort. Power was evaluated by calculating minimum sample sizes (mSS) required in the test classification analyses for each model. The data-driven VOI analysis using a multimodal combination of GM MRI and DTI achieved the greatest classification accuracy (89% SENSITIVE; 89% SPECIFIC) and required a lower minimum sample size (N=26) relative to anatomical VOI and global measures. We conclude that a data-driven VOI approach employing Eigenanatomy provides more accurate classification, benefits from increased statistical power in unseen datasets, and therefore provides a robust method for screening underlying pathology in FTD patients for entry into clinical trials.

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Section: Additional Advantages Of Data-driven Statistical Approaches mentioning

confidence: 99%

The power of neuroimaging biomarkers for screening frontotemporal dementia

McMillan

Avants

Cook

et al. 2014

Human Brain Mapping

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“…Ex-vivo MRI imaging permits correlation of histopathology with MRI signal intensity 20–23 . Ex-vivo imaging also provides a cost effective method of establishing imaging parameters for future in-vivo sequences as these scans can be completed at a fraction of the cost and with no risk to human subjects.…”

Section: Introductionmentioning

confidence: 99%

Ex vivo magnetic resonance imaging in South African manganese mine workers

et al. 2015

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Background Manganese (Mn) exposure is associated with increased T1-weighted Magnetic Resonance Imaging (MRI) signal in the basal ganglia. T1 signal intensity has been correlated with occupational Mn exposure but not with clinical symptomatology or neuropathology. Objectives This study investigated predictors of ex-vivo T1 MRI basal ganglia signal intensity in neuropathologic tissue obtained from deceased South African mine workers. Methods A 3.0T MRI was performed on ex-vivo brain tissue obtained from 19 Mn mine workers and 10 race- and sex-matched mine workers of other commodities. Basal ganglia regions of interest were identified for each subject with T1-weighted intensity indices generated for each region. In a pathology subset, regional T1 indices were compared to neuronal and glial cell density and tissue metal concentrations. Results Intensity indices were higher in Mn mine workers than non-Mn mine workers for the globus pallidus, caudate, anterior putamen, and posterior putamen with the highest values in subjects with the longest cumulative Mn exposure. Intensity indices were inversely correlated with the neuronal cell density in the caudate (p = 0.040) and putamen (p = 0.050). Tissue Mn concentrations were similar in Mn and non-Mn mine workers. Tissue iron (Fe) concentration trended lower across all regions in Mn mine workers. Conclusions Mn mine workers demonstrated elevated basal ganglia T1 indices when compared to non-Mn mine workers. Predictors of ex-vivo T1 MRI signal intensity in Mn mine workers include duration of Mn exposure and neuronal density.

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“…On the other hand, conventional histological atlases can be complemented by specialized MR-based imaging that reveals considerably greater neuroanatomical detail using ultra-high field strength (7T or higher), specialized pulse sequences such as susceptibility-weighted imaging (Abosch et al, 2010), and/or postmortem scans (e.g. Augustinack et al, 2013) (Abosch et al, 2010; Augustinack et al, 2013)…”

Section: Cartography (Van Essen Et Al 2013a; Van Essen Et Al 2013b)mentioning

confidence: 99%

Cartography and Connectomes

Essen

2013

Neuron

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The past 25 years have seen great progress in parcellating the cerebral cortex into a mosaic of many distinct areas in mice, monkeys, and humans. Quantitative studies of inter-areal connectivity have revealed unexpectedly many pathways and a wide range of connection strengths in mouse and macaque cortex. In humans, advances in analyzing ‘structural’ and ‘functional’ connectivity using powerful but indirect noninvasive neuroimaging methods are yielding intriguing insights about brain circuits, their variability across individuals, and their relationship to behavior.

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Medial temporal cortices in ex vivo magnetic resonance imaging

Cited by 24 publications

References 85 publications

The power of neuroimaging biomarkers for screening frontotemporal dementia

The power of neuroimaging biomarkers for screening frontotemporal dementia

Ex vivo magnetic resonance imaging in South African manganese mine workers

Cartography and Connectomes

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