FSL

Jenkinson, Mark; Beckmann, Christian F.; Behrens, Timothy E. J.; Woolrich, Mark W.; Smith, Stephen M.

doi:10.1016/j.neuroimage.2011.09.015

Cited by 9,892 publications

(7,965 citation statements)

References 17 publications

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“…Anatomical small volumes were derived from the Oxford–Harvard brain maps (Desikan et al, 2006) in FSL view (Jenkinson, Beckmann, Behrens, Woolrich, & Smith, 2012), comprising key brain regions previously implicated in generation of propositional language output (Blank et al, 2002; Braun et al, 2001; Wagner et al, 2001) (left inferior and superior frontal, left posterior superior temporal gyri).…”

Section: Methodsmentioning

confidence: 99%

Verbal adynamia in parkinsonian syndromes: behavioral correlates and neuroanatomical substrate

Magdalinou¹,

Golden

Nicholas

et al. 2018

Neurocase

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Verbal adynamia (impaired language generation, as during conversation) has not been assessed systematically in parkinsonian disorders. We addressed this in patients with Parkinson’s dementia, progressive supranuclear palsy and corticobasal degeneration. All disease groups showed impaired verbal fluency and sentence generation versus healthy age-matched controls, after adjusting for general linguistic and executive factors. Dopaminergic stimulation in the Parkinson’s group selectively improved verbal generation versus other cognitive functions. Voxel-based morphometry identified left inferior frontal and posterior superior temporal cortical correlates of verbal generation performance. Verbal adynamia warrants further evaluation as an index of language network dysfunction and dopaminergic state in parkinsonian disorders.

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Section: Methodsmentioning

confidence: 99%

Verbal adynamia in parkinsonian syndromes: behavioral correlates and neuroanatomical substrate

Magdalinou¹,

Golden

Nicholas

et al. 2018

Neurocase

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“…A whole‐brain mask was generated using the brain extraction tool (Smith, 2002) in FSL (Jenkinson, Beckmann, Behrens, Woolrich, & Smith, 2012). The rsfMRI underwent slice‐time correction and realignment prior to application of the brain mask to extract all voxels within the brain.…”

Section: Methodsmentioning

confidence: 99%

Prospective motion correction improves the sensitivity of fMRI pattern decoding

Huang

Carlin

Alink

et al. 2018

Human Brain Mapping

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We evaluated the effectiveness of prospective motion correction (PMC) on a simple visual task when no deliberate subject motion was present. The PMC system utilizes an in‐bore optical camera to track an external marker attached to the participant via a custom‐molded mouthpiece. The study was conducted at two resolutions (1.5 mm vs 3 mm) and under three conditions (PMC On and Mouthpiece On vs PMC Off and Mouthpiece On vs PMC Off and Mouthpiece Off). Multiple data analysis methods were conducted, including univariate and multivariate approaches, and we demonstrated that the benefit of PMC is most apparent for multi‐voxel pattern decoding at higher resolutions. Additional testing on two participants showed that our inexpensive, commercially available mouthpiece solution produced comparable results to a dentist‐molded mouthpiece. Our results showed that PMC is increasingly important at higher resolutions for analyses that require accurate voxel registration across time.

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“…Diffusion tensor imaging postprocessing was performed using the FSL (Jenkinson, Beckmann, Behrens, Woolrich, & Smith, 2012) software version 5.0.6 (FMRIB Software Library, http://www.fmrib.ox.ac.uk/fsl). Fieldmaps were used to diminish EPI distortion caused by inhomogeneities in applied magnetic field.…”

Section: Methodsmentioning

confidence: 99%

“…Preprocessed images were fitted to the tensor model at each voxel to generate FA, MD, AD, and RD images using DTIFIT in FSL (Jenkinson et al., 2012). TBSS (Smith et al., 2006) was chosen as an optimal full‐automated analysis tool that allows investigating the whole‐brain without selection of specific WM region beforehand.…”

Section: Methodsmentioning

confidence: 99%

White matter measures correlate with essential tremor severity—A pilot diffusion tensor imaging study

et al. 2018

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BackgroundAn evolving pathophysiological concept of essential tremor (ET) points to diffuse brain network involvement, which emphasizes the need to investigate white matter (WM) changes associated with motor symptoms of ET.ObjectivesTo investigate ET‐related WM changes and WM correlates of tremor severity using tremor clinical rating scales and accelerometry.MethodsTract‐based spatial statistics (TBSS) approach was utilized to compare 3 Tesla diffusion tensor imaging (DTI) data from 12 ET patients and 10 age‐ and gender‐matched healthy individuals. Clinical scales, tremor frequency and amplitude as measured by accelerometry were correlated with DTI data.Results ET patients demonstrated mean (MD) and radial diffusivity (RD) abnormalities in tracts involved in primary and associative motor functions such as bilateral corticospinal tracts, the superior longitudinal fascicles, and the corpus callosum but also in nonmotor regions including the inferior fronto‐occipital and longitudinal fascicles, cingulum bundles, anterior thalamic radiations, and uncinate fascicles. A combined tremor frequency and amplitude score correlated with RD and MD in extensive WM areas, which partially overlapped the regions that were associated with tremor frequency. No significant relationship was found between DTI measures and clinical rating scales scores.ConclusionsThe results show that ET‐related diffusion WM changes and their correlates with tremor severity are preferentially located in the primary and associative motor areas. In contrast, a relationship between WM was not detected with clinical rating scales. Accelerometry parameters may, therefore, serve as a potentially useful clinical measures that relate to WM deficits in ET.

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FSL

Cited by 9,892 publications

References 17 publications

Verbal adynamia in parkinsonian syndromes: behavioral correlates and neuroanatomical substrate

Verbal adynamia in parkinsonian syndromes: behavioral correlates and neuroanatomical substrate

Prospective motion correction improves the sensitivity of fMRI pattern decoding

White matter measures correlate with essential tremor severity—A pilot diffusion tensor imaging study

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