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1.
Neuroimage ; 78: 224-32, 2013 Sep.
Article in English | MEDLINE | ID: mdl-23567888

ABSTRACT

The optimization of the targeting of a defined cortical region is a challenge in the current practice of transcranial magnetic stimulation (TMS). The dorsolateral prefrontal cortex (DLPFC) and the primary motor cortex (M1) are among the most usual TMS targets, particularly in its "therapeutic" application. This study describes a practical algorithm to determine the anatomical location of the DLPFC and M1 using a three-dimensional (3D) brain reconstruction provided by a TMS-dedicated navigation system from individual magnetic resonance imaging (MRI) data. The coordinates of the right and left DLPFC and M1 were determined in 50 normal brains (100 hemispheres) by five different investigators using a standardized procedure. Inter-rater reliability was good, with 95% limits of agreement ranging between 7 and 16 mm for the different coordinates. As expressed in the Talairach space and compared with anatomical or imaging data from the literature, the coordinates of the DLPFC defined by our algorithm corresponded to the junction between BA9 and BA46, while M1 coordinates corresponded to the posterior border of hand representation. Finally, we found an influence of gender and possibly of age on some coordinates on both rostrocaudal and dorsoventral axes. Our algorithm only requires a short training and can be used to provide a reliable targeting of DLPFC and M1 between various TMS investigators. This method, based on an image-guided navigation system using individual MRI data, should be helpful to a variety of TMS studies, especially to standardize the procedure of stimulation in multicenter "therapeutic" studies.


Subject(s)
Algorithms , Motor Cortex/anatomy & histology , Prefrontal Cortex/anatomy & histology , Transcranial Magnetic Stimulation/standards , Age Factors , Female , Humans , Magnetic Resonance Imaging , Male , Neuronavigation , Observer Variation , Sex Factors
2.
Sleep Med ; 13(6): 736-42, 2012 Jun.
Article in English | MEDLINE | ID: mdl-22541810

ABSTRACT

BACKGROUND: Symptomatic narcolepsy is often related to hypothalamic, pontine, or mesencephalic lesions. Despite evidence of disturbances of the hypothalamic hypocretin system in patients with idiopathic narcolepsy, neuroimaging in patients with idiopathic narcolepsy revealed conflicting results and there is limited data on possible structural brain changes that might be associated with this disorder. METHODS: We investigated with diffusion tensor imaging (DTI) whether microstructural abnormalities in the brain of eight patients with idiopathic narcolepsy with cataplexy are detectable compared to 12 healthy controls using a 1.5T MRI scanner. Whole-head DTI scans were analyzed without an a priori hypothesis. Voxelwise statistical analysis of fractional anisotropy (FA) data was performed using Tract-Based Spatial Statistics (TBSS), a non-linear analysis approach. RESULTS: Patients with narcolepsy showed microstructural white matter changes in the right hypothalamus as well as in the left mesencephalon, pons, and medulla oblongata. Additionally, areas in the left temporal lobe, the pre- and postcentral gyrus, the frontal and parietal white matter, the corona radiata, the right internal capsule, and the caudate nucleus had altered microstructure in patients with narcolepsy. CONCLUSIONS: Our study shows widespread microstructural white matter changes that are not visible on conventional MRI scans in patients with idiopathic narcolepsy. In support of the evidence from patients with symptomatic narcolepsy, we found microstructural changes in the hypothalamus, mesencephalon, pons, and medulla oblongata. Changes are in accordance with disturbances of the hypothalamic hypocretin system and its projections to mesencephalic and pontine areas regulating REM sleep.


Subject(s)
Brain Stem/pathology , Diffusion Magnetic Resonance Imaging , Hypothalamus/pathology , Leukoencephalopathies/pathology , Narcolepsy/pathology , Adult , Female , Humans , Male , Medulla Oblongata/pathology , Mesencephalon/pathology , Middle Aged , Nerve Fibers, Myelinated/pathology , Pons/pathology , Temporal Lobe/pathology
3.
Neuroimage ; 54(4): 2557-62, 2011 Feb 14.
Article in English | MEDLINE | ID: mdl-21087671

ABSTRACT

INTRODUCTION: Numerous magnetic resonance imaging (MRI) studies have addressed the question of morphological differences of the brain of men and women, reporting conflicting results regarding brain size and the ratio of gray and white matter. In the present study, we used diffusion tensor imaging (DTI) to delineate sex differences of brain white matter. METHODS: We investigated brain microstructure in 25 male and 25 female healthy subjects using a 3T MRI scanner. Whole-head DTI scans were analyzed without a-priori hypothesis using Tract-Based Spatial Statistics (TBSS) calculating maps of fractional anisotropy (FA), radial diffusivity (RD, a potential marker of glial alteration and changes in myelination) and axial diffusivity (AD, a potential marker of axonal changes). RESULTS: DTI revealed regional microstructural differences between the brains of male and female subjects. Those were prominent in the thalamus, corpus callosum and cingulum. Men showed significantly (p<0.0001) higher values of fractional anisotropy and lower radial diffusivity in these areas, suggesting that the observed differences are mainly due to differences in myelination. DISCUSSION: As a novel finding we showed widespread differences in thalamic microstructure that have not been described previously. Additionally, the present study confirmed earlier DTI studies focusing on sexual dimorphism in the corpus callosum and cingulum. All changes appear to be based on differences in myelination. The sex differences in thalamic microstructure call for further studies on the underlying cause and the behavioral correlates of this sexual dimorphism. Future DTI group studies may carefully control for gender to avoid confounding.


Subject(s)
Corpus Callosum/cytology , Diffusion Tensor Imaging , Gyrus Cinguli/cytology , Sex Characteristics , Thalamus/cytology , Adult , Anisotropy , Female , Humans , Image Interpretation, Computer-Assisted , Male
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