Matches in SemOpenAlex for { <https://semopenalex.org/work/W2496202954> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W2496202954 endingPage "499" @default.
- W2496202954 startingPage "485" @default.
- W2496202954 abstract "This chapter summarizes the main strategies for patient-control comparison of diffusion MRI data, including region of interest (ROI), histogram, voxel based analyses, and tractography. For each approach, a brief overview of the methods is given, followed by a discussion of the main limitations and advantages. In particular, it shows that the best strategy to extract quantitative information from diffusion data depends on the specific application. For example, ROI analysis is sensitive to small changes, particularly if concentrated in a small area of the brain; however, it is time-consuming and poorly reproducible, it requires an anatomical reference sharing the same geometry as the diffusion data, and the definition of clear guidelines; it also requires a strong hypothesis about the location of pathology. Histogram analysis is indicated when dealing with a diffuse disease, as it provides an assessment of the whole-brain without information on the location of pathology, and it requires an accurate procedure for CSF removal. An approach that conjugates the spatial specificity of ROI analysis with the possibility of assessing the whole brain is voxel-based analysis. A strong appeal of VB methods is the fact that while it might require long computational time, it requires minimal intervention from the user. Its reproducibility, however, strongly depends on the setting of the normalization and smoothing parameters. A diffusion tensor specific approach, named tract-based spatial statistics (TBSS), was recently developed. Its pros and cons are discussed. Finally, the most typical applications of diffusion tractography in clinical research are reviewed: tractography-based ROI definition, anatomical connectivity mapping, tract-shape definition and comparison, and connectivity-based parcellation." @default.
- W2496202954 created "2016-08-23" @default.
- W2496202954 creator A5032032723 @default.
- W2496202954 date "2010-11-01" @default.
- W2496202954 modified "2023-09-26" @default.
- W2496202954 title "Strategies for Patient–Control Comparison of Diffusion MR Data" @default.
- W2496202954 doi "https://doi.org/10.1093/med/9780195369779.003.0029" @default.
- W2496202954 hasPublicationYear "2010" @default.
- W2496202954 type Work @default.
- W2496202954 sameAs 2496202954 @default.
- W2496202954 citedByCount "14" @default.
- W2496202954 countsByYear W24962029542012 @default.
- W2496202954 countsByYear W24962029542013 @default.
- W2496202954 countsByYear W24962029542014 @default.
- W2496202954 countsByYear W24962029542015 @default.
- W2496202954 countsByYear W24962029542016 @default.
- W2496202954 countsByYear W24962029542018 @default.
- W2496202954 countsByYear W24962029542019 @default.
- W2496202954 countsByYear W24962029542020 @default.
- W2496202954 countsByYear W24962029542021 @default.
- W2496202954 crossrefType "book-chapter" @default.
- W2496202954 hasAuthorship W2496202954A5032032723 @default.
- W2496202954 hasConcept C115961682 @default.
- W2496202954 hasConcept C116580362 @default.
- W2496202954 hasConcept C126838900 @default.
- W2496202954 hasConcept C136886441 @default.
- W2496202954 hasConcept C143409427 @default.
- W2496202954 hasConcept C144024400 @default.
- W2496202954 hasConcept C149550507 @default.
- W2496202954 hasConcept C153180895 @default.
- W2496202954 hasConcept C154945302 @default.
- W2496202954 hasConcept C19165224 @default.
- W2496202954 hasConcept C19609008 @default.
- W2496202954 hasConcept C31972630 @default.
- W2496202954 hasConcept C3770464 @default.
- W2496202954 hasConcept C41008148 @default.
- W2496202954 hasConcept C53533937 @default.
- W2496202954 hasConcept C54170458 @default.
- W2496202954 hasConcept C71924100 @default.
- W2496202954 hasConcept C84787856 @default.
- W2496202954 hasConceptScore W2496202954C115961682 @default.
- W2496202954 hasConceptScore W2496202954C116580362 @default.
- W2496202954 hasConceptScore W2496202954C126838900 @default.
- W2496202954 hasConceptScore W2496202954C136886441 @default.
- W2496202954 hasConceptScore W2496202954C143409427 @default.
- W2496202954 hasConceptScore W2496202954C144024400 @default.
- W2496202954 hasConceptScore W2496202954C149550507 @default.
- W2496202954 hasConceptScore W2496202954C153180895 @default.
- W2496202954 hasConceptScore W2496202954C154945302 @default.
- W2496202954 hasConceptScore W2496202954C19165224 @default.
- W2496202954 hasConceptScore W2496202954C19609008 @default.
- W2496202954 hasConceptScore W2496202954C31972630 @default.
- W2496202954 hasConceptScore W2496202954C3770464 @default.
- W2496202954 hasConceptScore W2496202954C41008148 @default.
- W2496202954 hasConceptScore W2496202954C53533937 @default.
- W2496202954 hasConceptScore W2496202954C54170458 @default.
- W2496202954 hasConceptScore W2496202954C71924100 @default.
- W2496202954 hasConceptScore W2496202954C84787856 @default.
- W2496202954 hasLocation W24962029541 @default.
- W2496202954 hasOpenAccess W2496202954 @default.
- W2496202954 hasPrimaryLocation W24962029541 @default.
- W2496202954 hasRelatedWork W1208683048 @default.
- W2496202954 hasRelatedWork W1798098464 @default.
- W2496202954 hasRelatedWork W1996774028 @default.
- W2496202954 hasRelatedWork W2028948352 @default.
- W2496202954 hasRelatedWork W2051964242 @default.
- W2496202954 hasRelatedWork W2090715487 @default.
- W2496202954 hasRelatedWork W2155628618 @default.
- W2496202954 hasRelatedWork W2269243381 @default.
- W2496202954 hasRelatedWork W2496202954 @default.
- W2496202954 hasRelatedWork W2247341702 @default.
- W2496202954 isParatext "false" @default.
- W2496202954 isRetracted "false" @default.
- W2496202954 magId "2496202954" @default.
- W2496202954 workType "book-chapter" @default.