The importance of combining MRI and large-scale digital histology in neuroimaging studies of brain connectivity and disease

被引:29
作者
Annese, Jacopo [1 ]
机构
[1] Univ Calif San Diego, Brain Observ, Dept Radiol & Biomed Imaging, San Diego, CA 92103 USA
关键词
histology; MRI; DTI; fibers; pathology; connectivity; human; brain; OPPORTUNITIES; CHALLENGES;
D O I
10.3389/fninf.2012.00013
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
One of the major Issues hindering a comprehensive connectivity model for the human brain is the difficulty in linking Magnetic Resonance Imaging (MRI) measurements to anatomical evidence produced by histological methods. In vivo and postmortem neuroimaging methodologies are still largely incompatible in terms of sample size, scale, and resolution. To help bridge the hiatus between different approaches we have established a program that characterizes the brain of individual subjects, combining MRI with postmortem neuroanatomy. The direct correlation of MRI and histological features is possible, because registered images from different modalities represent the same regions in the same brain. Comparisons are also facilitated by large-scale, digital microscopy techniques that afford images of the whole brain sections at cellular resolution. The goal is to create a neuroimaging catalog representative of discrete age groups and specific neurological conditions. Individually, the datasets allow for investigating the relationship between different modalities; combined, they provide sufficient predictive power to inform analyses and interpretations made in the context of non-invasive studies of brain connectivity and disease.
引用
收藏
页数:6
相关论文
共 27 条
[1]   Challenges and Opportunities in Mining Neuroscience Data [J].
Akil, Huda ;
Martone, Maryann E. ;
Van Essen, David C. .
SCIENCE, 2011, 331 (6018) :708-712
[2]   Postmortem high-resolution 3-dimensional imaging of the primate brain: Blockface imaging of perfusion stained tissue [J].
Annese, J ;
Sforza, DM ;
Dubach, M ;
Bowden, D ;
Toga, AW .
NEUROIMAGE, 2006, 30 (01) :61-69
[3]   A myelo-architectonic method for the structural classification of cortical areas [J].
Annese, J ;
Pitiot, A ;
Dinov, ID ;
Toga, AW .
NEUROIMAGE, 2004, 21 (01) :15-26
[4]  
Annese J., 2012, PUBLIC ATLAS HUMAN B
[5]  
Annese J., 2009, NEUR M PLANN 39 ANN
[6]  
Annese J., 2010, NEUR M PLANN 40 ANN
[7]  
[Anonymous], 1967, Regional Development of the Brain in Early Life
[8]  
[Anonymous], 2011, MRI ATLAS HUMAN WHIT
[9]   What's New in Neuroimaging Methods? [J].
Bandettini, Peter A. .
YEAR IN COGNITIVE NEUROSCIENCE 2009, 2009, 1156 :260-293
[10]  
Bartsch H., 2011, NEUR M PLANN 41 ANN