Literature DB >> 19128910

Mapping the human brain white matter tracts relative to cortical and deep gray matter using diffusion tensor imaging at high spatial resolution.

Khader M Hasan1, Arash Kamali, Larry A Kramer.   

Abstract

The mapping of the human brain white matter fiber networks relative to deep subcortical and cortical gray matter requires high spatial resolution which is challenged by the low signal-to-noise ratio. The purpose of this short report was to introduce a whole brain high spatial resolution diffusion tensor imaging (DTI) protocol that enabled for the first time the mapping of corticopontocerebellar, frontostriatal and thalamofrontal fiber pathways in addition to other limbic, commissural, association and projection white matter pathways relative to the segmented deep gray (e.g., caudate nuclei) and the cortical lobes. Our DTI acquisition protocol and analysis strategy provide important template for brain-behavior research and for teaching brain mapping and are clinically affordable for patient comfort.

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Year:  2009        PMID: 19128910     DOI: 10.1016/j.mri.2008.10.007

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  14 in total

1.  Feasibility of prefronto-caudate pathway tractography using high resolution diffusion tensor tractography data at 3T.

Authors:  Arash Kamali; Larry A Kramer; Khader M Hasan
Journal:  J Neurosci Methods       Date:  2010-06-30       Impact factor: 2.390

2.  Diffusion tensor-based regional gray matter tissue segmentation using the international consortium for brain mapping atlases.

Authors:  Khader M Hasan; Richard E Frye
Journal:  Hum Brain Mapp       Date:  2011-01       Impact factor: 5.038

3.  Frontal aslant tracts as correlates of lexical retrieval in MS.

Authors:  Zafer Keser; Argye E Hillis; Paul E Schulz; Khader M Hasan; Flavia M Nelson
Journal:  Neurol Res       Date:  2020-06-19       Impact factor: 2.448

4.  Distinguishing and quantification of the human visual pathways using high-spatial-resolution diffusion tensor tractography.

Authors:  Arash Kamali; Khader M Hasan; Pavani Adapa; Azadeh Razmandi; Zafer Keser; John Lincoln; Larry A Kramer
Journal:  Magn Reson Imaging       Date:  2014-04-13       Impact factor: 2.546

5.  Predicting pituitary stalk position by in vivo visualization of the hypothalamo-hypophyseal tract in craniopharyngioma using diffusion tensor imaging tractography.

Authors:  Fuyu Wang; Jinli Jiang; Jiashu Zhang; Qun Wang
Journal:  Neurosurg Rev       Date:  2017-11-28       Impact factor: 3.042

6.  Diffusion tensor tractography of the human brain cortico-ponto-cerebellar pathways: a quantitative preliminary study.

Authors:  Arash Kamali; Larry A Kramer; Richard E Frye; Ian J Butler; Khader M Hasan
Journal:  J Magn Reson Imaging       Date:  2010-10       Impact factor: 4.813

Review 7.  A review of diffusion tensor magnetic resonance imaging computational methods and software tools.

Authors:  Khader M Hasan; Indika S Walimuni; Humaira Abid; Klaus R Hahn
Journal:  Comput Biol Med       Date:  2010-11-18       Impact factor: 4.589

8.  Quantification of the spatiotemporal microstructural organization of the human brain association, projection and commissural pathways across the lifespan using diffusion tensor tractography.

Authors:  Khader M Hasan; Arash Kamali; Humaira Abid; Larry A Kramer; Jack M Fletcher; Linda Ewing-Cobbs
Journal:  Brain Struct Funct       Date:  2010-02-04       Impact factor: 3.270

9.  Diffusion tensor tractography of the somatosensory system in the human brainstem: initial findings using high isotropic spatial resolution at 3.0 T.

Authors:  Arash Kamali; Larry A Kramer; Ian J Butler; Khader M Hasan
Journal:  Eur Radiol       Date:  2009-02-03       Impact factor: 5.315

10.  Tracing superior longitudinal fasciculus connectivity in the human brain using high resolution diffusion tensor tractography.

Authors:  Arash Kamali; Adam E Flanders; Joshua Brody; Jill V Hunter; Khader M Hasan
Journal:  Brain Struct Funct       Date:  2013-01-04       Impact factor: 3.270

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