Arvind Caprihan
MIND Institute
4 Papers
Arvind Caprihan is an academic researcher from MIND Institute. The author has contributed to research in topics: Diffusion MRI & White matter. The author has an hindex of 4, co-authored 4 publications.
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Papers
Reproducibility of Quantitative Tractography Methods Applied to Cerebral White Matter
Setsu Wakana,Arvind Caprihan,Martina M. Panzenboeck,James H. Fallon,Michele E. Perry,Randy L. Gollub,Kegang Hua,Jiangyang Zhang,Hangyi Jiang,Hangyi Jiang,Prachi Dubey,Ari M. Blitz,Peter C.M. van Zijl,Peter C.M. van Zijl,Susumu Mori,Susumu Mori +15 more
TL;DR: This protocol provides guidelines for reproducible DTI-based tract-specific quantification for reconstructing major white matter tracts based on diffusion tensor imaging.
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Ankle dorsiflexion fMRI in children with cerebral palsy undergoing intensive body-weight-supported treadmill training: a pilot study
John P. Phillips,Katherine J. Sullivan,Patricia A. Burtner,Arvind Caprihan,Beth Provost,Ann Bernitsky-Beddingfield +5 more
TL;DR: It is demonstrated that children with CP between 6 and 14 years of age can tolerate intensive locomotor training and, with appropriate modifications, can complete an fMRI series.
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Sensitivity-encoded (SENSE) proton echo-planar spectroscopic imaging (PEPSI) in the human brain.
Fa-Hsuan Lin,Shang-Yueh Tsai,Shang-Yueh Tsai,Ricardo Otazo,Ricardo Otazo,Arvind Caprihan,Lawrence L. Wald,Lawrence L. Wald,John W. Belliveau,John W. Belliveau,Stefan Posse,Stefan Posse +11 more
TL;DR: It is shown that the acquisition of single‐average SENSE‐PEPSI data at a short TE (15 ms) can be accelerated to 32 s or less, depending on the field strength, to obtain metabolic images of choline, creatine, N‐acetyl‐aspartate, and J‐coupled metabolites with acceptable spectral quality and localization.
Multimodal and Multi-Tissue Measures of Connectivity Revealed by Joint Independent Component Analysis
Alexandre Rosa Franco,Josef M. Ling,Arvind Caprihan,Vince D. Calhoun,Rex E. Jung,Gregory L. Heileman,Andrew R. Mayer +6 more
TL;DR: A data-driven method for combining measures of functional connectivity arising from gray matter sources (FMRI resting state data) with different measures of white matter connectivity (DTI), which indicates that one of the most predominantly used measures offunctional connectivity is highly dependent on the integrity ofwhite matter connections between the two hemispheres and within the cingulate bundles.