Literature DB >> 36038737

Quantitative susceptibility atlas construction in Montreal Neurological Institute space: towards histological-consistent iron-rich deep brain nucleus subregion identification.

Chenyu He1, Xiaojun Guan2, Weimin Zhang1, Jun Li1, Chunlei Liu3, Hongjiang Wei4, Xiaojun Xu2, Yuyao Zhang5,6.   

Abstract

Iron-rich deep brain nuclei (DBN) of the human brain are involved in various motoric, emotional and cognitive brain functions. The abnormal iron alterations in the DBN are closely associated with multiple neurological and psychiatric diseases. Quantitative susceptibility mapping (QSM) provides the spatial distribution of the magnetic susceptibility of human brain tissues. Compared to traditional structural imaging, QSM provides superiority for imaging the iron-rich DBN owing to the susceptibility difference existing between brain tissues. In this study, we constructed a Montreal Neurological Institute (MNI) space unbiased QSM human brain atlas via group-wise registration from 100 healthy subjects aged 19-29 years. The atlas construction process was guided by hybrid images that were fused from multi-modal magnetic resonance images (MRI). We named it as Multi-modal-fused magnetic Susceptibility (MuSus-100) atlas. The high-quality susceptibility atlas provides extraordinary image contrast between iron-rich DBN with their surroundings. Parcellation maps of DBN and their subregions that are highly related to neurological and psychiatric pathology were then manually labeled based on the atlas set with the assistance of an image border-enhancement process. Especially, the bilateral thalamus was delineated into 64 detailed subregions referring to the Schaltenbrand-Wahren stereotactic atlas. To our best knowledge, the histological-consistent thalamic nucleus parcellation map is well defined for the first time in the MNI space. Compared with existing atlases that emphasizing DBN parcellation, the newly proposed atlas outperforms on the task of atlas-guided individual brain image DBN segmentation both in accuracy and robustness. Moreover, we applied the proposed DBN parcellation map to conduct detailed identification of the pathology-related iron content alterations in subcortical nuclei for Parkinson's Disease (PD) patients. We envision that the MuSus-100 atlas can play a crucial role in improving the accuracy of DBN segmentation for the research of neurological and psychiatric disease progress and also be helpful for target planning in deep brain stimulation surgery.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Basal ganglia; Deep brain nuclei; Multi-modal atlases; Parcellation; Quantitative susceptibility atlas; Quantitative susceptibility mapping; Thalamus

Year:  2022        PMID: 36038737     DOI: 10.1007/s00429-022-02547-1

Source DB:  PubMed          Journal:  Brain Struct Funct        ISSN: 1863-2653            Impact factor:   3.748


  49 in total

1.  Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging.

Authors:  T E J Behrens; H Johansen-Berg; M W Woolrich; S M Smith; C A M Wheeler-Kingshott; P A Boulby; G J Barker; E L Sillery; K Sheehan; O Ciccarelli; A J Thompson; J M Brady; P M Matthews
Journal:  Nat Neurosci       Date:  2003-07       Impact factor: 24.884

2.  Patient-specific analysis of the volume of tissue activated during deep brain stimulation.

Authors:  Christopher R Butson; Scott E Cooper; Jaimie M Henderson; Cameron C McIntyre
Journal:  Neuroimage       Date:  2006-11-17       Impact factor: 6.556

Review 3.  Toward defining deep brain stimulation targets in MNI space: A subcortical atlas based on multimodal MRI, histology and structural connectivity.

Authors:  Siobhan Ewert; Philip Plettig; Ningfei Li; M Mallar Chakravarty; D Louis Collins; Todd M Herrington; Andrea A Kühn; Andreas Horn
Journal:  Neuroimage       Date:  2017-05-20       Impact factor: 6.556

4.  Toward in vivo histology: a comparison of quantitative susceptibility mapping (QSM) with magnitude-, phase-, and R2*-imaging at ultra-high magnetic field strength.

Authors:  Andreas Deistung; Andreas Schäfer; Ferdinand Schweser; Uta Biedermann; Robert Turner; Jürgen R Reichenbach
Journal:  Neuroimage       Date:  2012-10-02       Impact factor: 6.556

5.  Functional anatomy of subthalamic nucleus stimulation in Parkinson disease.

Authors:  Sarah A Eisenstein; Jonathan M Koller; Kathleen D Black; Meghan C Campbell; Heather M Lugar; Mwiza Ushe; Samer D Tabbal; Morvarid Karimi; Tamara Hershey; Joel S Perlmutter; Kevin J Black
Journal:  Ann Neurol       Date:  2014-07-02       Impact factor: 10.422

6.  High-resolution characterisation of the aging brain using simultaneous quantitative susceptibility mapping (QSM) and R2* measurements at 7T.

Authors:  Matthew J Betts; Julio Acosta-Cabronero; Arturo Cardenas-Blanco; Peter J Nestor; Emrah Düzel
Journal:  Neuroimage       Date:  2016-05-13       Impact factor: 6.556

7.  MRI estimates of brain iron concentration in normal aging using quantitative susceptibility mapping.

Authors:  Berkin Bilgic; Adolf Pfefferbaum; Torsten Rohlfing; Edith V Sullivan; Elfar Adalsteinsson
Journal:  Neuroimage       Date:  2011-09-08       Impact factor: 6.556

8.  Deep brain stimulation for Parkinson's disease: defining the optimal location within the subthalamic nucleus.

Authors:  Maarten Bot; P Richard Schuurman; Vincent J J Odekerken; Rens Verhagen; Fiorella Maria Contarino; Rob M A De Bie; Pepijn van den Munckhof
Journal:  J Neurol Neurosurg Psychiatry       Date:  2018-01-20       Impact factor: 10.154

9.  Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain.

Authors:  B B Avants; C L Epstein; M Grossman; J C Gee
Journal:  Med Image Anal       Date:  2007-06-23       Impact factor: 8.545

10.  Maintenance, reserve and compensation: the cognitive neuroscience of healthy ageing.

Authors:  Roberto Cabeza; Marilyn Albert; Sylvie Belleville; Fergus I M Craik; Audrey Duarte; Cheryl L Grady; Ulman Lindenberger; Lars Nyberg; Denise C Park; Patricia A Reuter-Lorenz; Michael D Rugg; Jason Steffener; M Natasha Rajah
Journal:  Nat Rev Neurosci       Date:  2018-11       Impact factor: 34.870

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.