PURPOSE: To investigate the feasibility of discriminating the habenula in human brain using high-resolution structural MRI and diffusion-weighted imaging at 7 Tesla (T). MATERIALS AND METHODS: MRI experiments included a MP2RAGE and GRE sequence to acquire quantitative parameter maps of T1, T2*, and a calculated proton density map and the combined approach of zoomed and parallel imaging (ZOOPPA) to obtain dw images. Probabilistic tractography algorithms were used to identify multiple fiber orientations in submillimetre voxels, and constrained spherical deconvolution to resolve orientations in regions where fibers cross. RESULTS: Maps of T1, T2*, and proton density showed high contrast of the human habenula. The lateral habenula and its commissure can be distinguished from medial habenula and adjacent tissue. DWI data with 0.7 mm isotropic resolution revealed that fiber populations differ in medial and lateral habenula and two major fiber bundles that connect habenular nuclei with forebrain structures and brainstem. CONCLUSION: High resolution 7T MR imaging of the human habenula provides sufficient signal-to-noise and contrast to enable identification of the lateral and medial nuclei. In vivo high resolution DWI at 7T is able to distinguish between lateral and medial habenula, and to detect major fiber tracts that connect the habenula with other brain areas.
PURPOSE: To investigate the feasibility of discriminating the habenula in human brain using high-resolution structural MRI and diffusion-weighted imaging at 7 Tesla (T). MATERIALS AND METHODS: MRI experiments included a MP2RAGE and GRE sequence to acquire quantitative parameter maps of T1, T2*, and a calculated proton density map and the combined approach of zoomed and parallel imaging (ZOOPPA) to obtain dw images. Probabilistic tractography algorithms were used to identify multiple fiber orientations in submillimetre voxels, and constrained spherical deconvolution to resolve orientations in regions where fibers cross. RESULTS: Maps of T1, T2*, and proton density showed high contrast of the human habenula. The lateral habenula and its commissure can be distinguished from medial habenula and adjacent tissue. DWI data with 0.7 mm isotropic resolution revealed that fiber populations differ in medial and lateral habenula and two major fiber bundles that connect habenular nuclei with forebrain structures and brainstem. CONCLUSION: High resolution 7T MR imaging of the human habenula provides sufficient signal-to-noise and contrast to enable identification of the lateral and medial nuclei. In vivo high resolution DWI at 7T is able to distinguish between lateral and medial habenula, and to detect major fiber tracts that connect the habenula with other brain areas.
Authors: Birte U Forstmann; Gilles de Hollander; Leendert van Maanen; Anneke Alkemade; Max C Keuken Journal: Nat Rev Neurosci Date: 2016-12-15 Impact factor: 34.870
Authors: Frank M Schmidt; Stephanie Schindler; Melanie Adamidis; Maria Strauß; Anja Tränkner; Robert Trampel; Martin Walter; Ulrich Hegerl; Robert Turner; Stefan Geyer; Peter Schönknecht Journal: Eur Arch Psychiatry Clin Neurosci Date: 2016-02-12 Impact factor: 5.270
Authors: Joo-Won Kim; Thomas P Naidich; Joshmi Joseph; Divya Nair; Matthew F Glasser; Rafael O'halloran; Gaelle E Doucet; Won Hee Lee; Hannah Krinsky; Alejandro Paulino; David C Glahn; Alan Anticevic; Sophia Frangou; Junqian Xu Journal: Hum Brain Mapp Date: 2018-03-26 Impact factor: 5.038
Authors: Salvatore Torrisi; Camilla L Nord; Nicholas L Balderston; Jonathan P Roiser; Christian Grillon; Monique Ernst Journal: Neuroimage Date: 2016-10-22 Impact factor: 6.556
Authors: A T Vu; E Auerbach; C Lenglet; S Moeller; S N Sotiropoulos; S Jbabdi; J Andersson; E Yacoub; K Ugurbil Journal: Neuroimage Date: 2015-08-07 Impact factor: 6.556