Microstructural parcellation of the human brain

被引:20
|
作者
Fischl, Bruce [1 ,2 ,3 ]
Sereno, Martin I. [4 ]
机构
[1] Harvard Med Sch, Dept Radiol, Boston, MA USA
[2] Gen Hosp, Athinoula A Martinos Ctr Biomed Imaging Mass, Los Angeles, CA USA
[3] MIT, Div Hlth Sci & Technol & Engn & Comp Sci, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[4] San Diego State Univ, Dept Psychol, SDSU Imaging Ctr, San Diego, CA 92182 USA
关键词
SURFACE-BASED ANALYSIS; OPTICAL COHERENCE TOMOGRAPHY; HUMAN CEREBRAL-CORTEX; FIBER ORIENTATIONS; AUDITORY-CORTEX; MYELIN CONTENT; BROCAS REGION; MOTOR CORTEX; DEFAULT MODE; AREAS;
D O I
10.1016/j.neuroimage.2018.01.036
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The human cerebral cortex is composed of a mosaic of areas thought to subserve different functions. The parcellation of the cortex into areas has a long history and has been carried out using different combinations of structural, connectional, receptotopic, and functional properties. Here we give a brief overview of the history of cortical parcellation, and explore different microstructural properties and analysis techniques that can be used to define the borders between different regions. We show that accounting for the 3D geometry of the highly folded human cortex is especially critical for accurate parcellation. We close with some thoughts on future directions and best practices for combining modalities.
引用
收藏
页码:219 / 231
页数:13
相关论文
共 50 条
  • [41] False Discovery Rate Controller for Functional Brain Parcellation
    Wong, Adrian
    McKeown, Martin J.
    Moradi, Mehdi
    Wang, Z. Jane
    2016 IEEE CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE), 2016,
  • [42] SPECTRAL CLUSTERING BASED PARCELLATION OF FETAL BRAIN MRI
    Pepe, A.
    Auzias, G.
    De Guio, F.
    Rousseau, F.
    Germanaud, D.
    Mangin, J-F.
    Girard, N.
    Coulon, O.
    Lefevre, J.
    2015 IEEE 12TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 2015, : 152 - 155
  • [43] Brain metastases segmentation using deep learning with spatial information of brain parcellation
    Khodabakhshi, Zahra
    Huang, Yixing
    Fietkau, Rainer
    Guckenberger, Matthias
    Tanadini-Lang, Stephanie
    Putz, Florian
    Andratschke, Nicolaus
    RADIOTHERAPY AND ONCOLOGY, 2024, 194 : S3120 - S3123
  • [44] Neuronal microstructural changes in the human brain are associated with neurocognitive aging
    Singh, Kavita
    Barsoum, Stephanie
    Schilling, Kurt G.
    An, Yang
    Ferrucci, Luigi
    Benjamini, Dan
    AGING CELL, 2024, 23 (07)
  • [45] Parcellation of the human prefrontal cortex using MRI
    Wible, CG
    Shenton, ME
    Fischer, IA
    Allard, JE
    Kikinis, R
    Jolesz, FA
    Iosifescu, DV
    McCarley, RW
    PSYCHIATRY RESEARCH-NEUROIMAGING, 1997, 76 (01) : 29 - 40
  • [46] Virtual brain grafting: Enabling whole brain parcellation in the presence of large lesions
    Radwan, Ahmed M.
    Emsell, Louise
    Blommaert, Jeroen
    Zhylka, Andrey
    Kovacs, Silvia
    Theys, Tom
    Sollmann, Nico
    Dupont, Patrick
    Sunaert, Stefan
    NEUROIMAGE, 2021, 229
  • [47] HOA2.0-ComPaRe: A next generation Harvard-Oxford Atlas comparative parcellation reasoning method for human and macaque individual brain parcellation and atlases of the cerebral cortex
    Rushmore, Richard Jarrett
    Bouix, Sylvain
    Kubicki, Marek
    Rathi, Yogesh
    Yeterian, Edward
    Makris, Nikos
    FRONTIERS IN NEUROANATOMY, 2022, 16
  • [48] Parcellation of the human pretectal complex:: A chemoarchitectonic reappraisal
    Borostyánköi-Baldauf, Z
    Herczeg, L
    NEUROSCIENCE, 2002, 110 (03) : 527 - 540
  • [49] Observer-independent method for microstructural parcellation of cerebral cortex: A quantitative approach to cytoarchitectonics
    Schleicher, A
    Amunts, K
    Geyer, S
    Morosan, P
    Zilles, K
    NEUROIMAGE, 1999, 9 (01) : 165 - 177
  • [50] Multimodal Cortical Parcellation Based on Anatomical and Functional Brain Connectivity
    Wang, Chendi
    Yoldemir, Burak
    Abugharbieh, Rafeef
    MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION, PT III, 2015, 9351 : 21 - 28