Altered small-world properties of gray matter networks in breast cancer
| Autor: | S. M. Hadi Hosseini, Shelli R. Kesler, Della Koovakkattu |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Adult
Oncology medicine.medical_specialty Neurology Models Neurological Clinical Neurology Antineoplastic Agents Breast Neoplasms lcsh:RC346-429 03 medical and health sciences 0302 clinical medicine Breast cancer Neuroimaging Internal medicine medicine Humans Computer Simulation Neurochemistry lcsh:Neurology. Diseases of the nervous system Aged Clustering coefficient Neurons business.industry Cognition General Medicine Middle Aged medicine.disease 3. Good health 030220 oncology & carcinogenesis Female Neurology (clinical) Neurosurgery Nerve Net Centrality business Neuroscience 030217 neurology & neurosurgery Research Article |
| Zdroj: | BMC Neurology BMC Neurology, Vol 12, Iss 1, p 28 (2012) |
| ISSN: | 1471-2377 |
| DOI: | 10.1186/1471-2377-12-28 |
| Popis: | Background Breast cancer survivors, particularly those treated with chemotherapy, are at significantly increased risk for long-term cognitive and neurobiologic impairments. These deficits tend to involve skills that are subserved by distributed brain networks. Additionally, neuroimaging studies have shown a diffuse pattern of brain structure changes in chemotherapy-treated breast cancer survivors that might impact large-scale brain networks. Methods We therefore applied graph theoretical analysis to compare the gray matter structural networks of female breast cancer survivors with a history of chemotherapy treatment and healthy age and education matched female controls. Results Results revealed reduced clustering coefficient and small-world index in the brain network of the breast cancer patients across a range of network densities. In addition, the network of the breast cancer group had less highly interactive nodes and reduced degree/centrality in the frontotemporal regions compared to controls, which may help explain the common impairments of memory and executive functioning among these patients. Conclusions These results suggest that breast cancer and chemotherapy may decrease regional connectivity as well as global network organization and integration, reducing efficiency of the network. To our knowledge, this is the first report of altered large-scale brain networks associated with breast cancer and chemotherapy. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink