TY - JOUR
T1 - Diffusion tensor tractography reveals abnormal topological organization in structural cortical networks in Alzheimer's disease
AU - Lo, Chun Yi
AU - Wang, Pei Ning
AU - Chou, Kun Hsien
AU - Wang, Jinhui
AU - He, Yong
AU - Lin, Ching Po
PY - 2010/12/15
Y1 - 2010/12/15
N2 - Recent research on Alzheimer's disease (AD) has shown that the decline of cognitive and memory functions is accompanied by a disrupted neuronal connectivity characterized by white matter (WM) degeneration. However, changes in the topological organization of WMstructural network in AD remain largely unknown. Here, we used diffusion tensor image tractography to construct the human brain WMnetworks of 25 AD patients and 30 age- and sex-matched healthy controls, followed by a graph theoretical analysis. We found that both AD patients and controls had a small-world topology in WM network, suggesting an optimal balance between structurally segregated and integrative organization. More important, the AD patients exhibited increased shortest path length and decreased global efficiency in WM network compared with controls, implying abnormal topological organization. Furthermore, we showed that the WM network contained highly connected hub regions that were predominately located in the precuneus, cingulate cortex, and dorsolateral prefrontal cortex, which was consistent with the previous diffusion-MRI studies. Specifically, AD patients were found to have reduced nodal efficiency predominantly located in the frontal regions. Finally, we showed that the alterations of various network properties were significantly correlated with the behavior performances. Together, the present study demonstrated for the first time that the Alzheimer's brain was associated with disrupted topological organization in the large-scale WM structural networks, thus providing the structural evidence for abnormalities of systematic integrity in this disease. This work could also have implications for understanding how the abnormalities of structural connectivity in AD underlie behavioral deficits in the patients.
AB - Recent research on Alzheimer's disease (AD) has shown that the decline of cognitive and memory functions is accompanied by a disrupted neuronal connectivity characterized by white matter (WM) degeneration. However, changes in the topological organization of WMstructural network in AD remain largely unknown. Here, we used diffusion tensor image tractography to construct the human brain WMnetworks of 25 AD patients and 30 age- and sex-matched healthy controls, followed by a graph theoretical analysis. We found that both AD patients and controls had a small-world topology in WM network, suggesting an optimal balance between structurally segregated and integrative organization. More important, the AD patients exhibited increased shortest path length and decreased global efficiency in WM network compared with controls, implying abnormal topological organization. Furthermore, we showed that the WM network contained highly connected hub regions that were predominately located in the precuneus, cingulate cortex, and dorsolateral prefrontal cortex, which was consistent with the previous diffusion-MRI studies. Specifically, AD patients were found to have reduced nodal efficiency predominantly located in the frontal regions. Finally, we showed that the alterations of various network properties were significantly correlated with the behavior performances. Together, the present study demonstrated for the first time that the Alzheimer's brain was associated with disrupted topological organization in the large-scale WM structural networks, thus providing the structural evidence for abnormalities of systematic integrity in this disease. This work could also have implications for understanding how the abnormalities of structural connectivity in AD underlie behavioral deficits in the patients.
UR - http://www.scopus.com/inward/record.url?scp=78650384199&partnerID=8YFLogxK
U2 - 10.1523/JNEUROSCI.4136-10.2010
DO - 10.1523/JNEUROSCI.4136-10.2010
M3 - Article
C2 - 21159959
AN - SCOPUS:78650384199
SN - 0270-6474
VL - 30
SP - 16876
EP - 16885
JO - Journal of Neuroscience
JF - Journal of Neuroscience
IS - 50
ER -