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| Study on Functional Connectivity Density in Patients with Frontal Lobe Tumor at Resting-State |
| YANG Yu-xuan, YAO Liu-ye, TAO Ling, QIAN Zhi-yu, XUE Li |
| Department of Biomedical Engineering, College of Automation, Nanjing University of Aeronautics and Astronautics, Jiangsu Province Nanjing 211000, China |
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Abstract At present, the neuropathological mechanisms and the plastic changes of brain cognitive function in patents with front lobe tumor remain unclear, most studies just focused on global measures of brain functional connectivity without considering the time correlation in the different regions of the brain. This study aims to investigate brain cognitive alterations and functional plasticity in patients with front lobe tumor at resting-state by conducting functional connectivity density (FCD) mapping and granger causality analysis (GCA). Firstly, FCD mapping was used to extract abnormal functional connectivity (FC) of patients with frontal lobe tumor, and analyzed altered brain FC in both short- and long-range FCD. Then, the voxel-wise GCA method was used to analyze the causal relationship between altered FC regions and other regions in order to detect the time correlation between regions of interest (ROI) and reveal the direction of information flow between brain ROIs. It was found that patients had increased short-range FCD in motor and space attention function areas, had increased short- and long-range FCDs both in Temporal and Insula, and the causal coefficients were changed obviously in Temporal and Frontal. The results show that there is a functional plasticity in space attention function areas. Temporal and Insula are affected by tumor in frontal lobe, and functional reorganization appears inside Temporal.
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Received: 05 August 2017
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| Fund:Clinical Medical Science Special Foundation in Jiangsu Province; grant number: SBL201230215 |
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Corresponding Authors:
LING Tao. E-mail: taoling@nuaa.edu
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[1] Correa DD, Shi W, Thaler HT, et al. Longitudinal cognitive follow-up in low-grade gliomas [J]. Journal of Neuro-oncoloy, 2008, 86(3):321-327.
[2] Klein M, Heimans JJ, Aaronson NK, et al. Effect of radiotherapy and other treatment-related factors on mid-term to long-term cognitive sequelae in low-grade gliomas: a comparative study [J]. Lancet, 2002, 360(360): 1361-1368.
[3] Duffau H, Capelle L, Denvil D, et al. Functional recovery after surgical resection of low grade gliomas in eloquent brain: hypothesis of brain compensation [J]. Journal of Neurology Neurosurgery & Psychiatry, 2003, 74(7):901-907.
[4] Duffau H, Capelle L, Denvil D, et al. Usefulness of intraoperative electrical subcortical mapping during surgery for low-grade gliomas located within eloquent brain regions: functional results in a consecutive series of 103 patients [J]. Journal of Neurosurgery, 2003, 98(4):764-778.
[5] Guo W, Feng L, Xue Z, et al. Abnormal resting-state cerebellar–cerebral functional connectivity in treatment-resistant depression and treatment sensitive depression[J]. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 2013, 44(5):51-57.
[6] Mueller S, Keeser D, Reiser MF, et al. Functional and structural MR imaging in neuropsychiatric disorders, Part 1: imaging techniques and their application in mild cognitive impairment and Alzheimer disease [J]. American Journal of Neuroradiology, 2012, 33(10):1845-1850.
[7] Fox MD, Raichle ME. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging [J]. Nature Reviews Neuroscience, 2007, 8(9):700-711.
[8] Cordes D, Haughton V, Carew J, et al. Hierarchical clustering to measure connectivity in fMRI resting-state data [J]. Magnetic Resonance Imaging, 2002, 20:305-317.
[9] Birn R, Murphy K, Bandettini P. The effect of respiration variations on independent component analysis results of resting state functional connectivity [J]. Human Brain Mapping, 2008, 29(7):740-750.
[10] Mikula S, Niebur E. A novel method for visualizing functional connectivity using principal component analysis [J]. International Journal of Neuroscience, 2006, 116(4):419-429.
[11] Van de Ven V, Formisano E, Prvulovic D, et al. Functional connectivity as revealed by spatial independent component analysis of fMRI measurements during rest [J]. Human Brain Mapping, 2004, 22(3):165-178.
[12] Tomasi D, Volkow ND. Functional connectivity density mapping [J]. Proceedings of the National Academy of Sciences of the United States of America, 2010, 107(21):9885-9890.
[13] Liu J, Zhang WS, Qian L, et al. Changes in resting-state brain function of pilots after hypoxic exposure based on methods for fALFF and ReHo analysis[J]. Medical Journal of Chinese People's Liberation Army, 2015, 40(6):507-512.
[14] Granger C. Investigating causal relations by econometric models and cross spectral methods [J]. Econometrica, 1969, 37(3): 424-438.
[15] Dai Z, Yan C, Li K, et al. Identifying and mapping connectivity patterns of brain network hubs in alzheimer's disease [J]. Cerebral Cortex, 2015, 25(10): 3723-3742.
[16] Wang T, Li Q, Guo M, et al. Abnormal functional connectivity density in children with anisometropic amblyopia at resting-state[J]. Brain Research, 2014, 1563(4): 41-51.
[17] Achard S, Salvador R, Whitcher B, et al. A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs [J]. The Official Journal of the Society for Neuroscience, 2006, 26(1):63-72.
[18] He Y, Chen ZJ, Evans AC. Small-world anatomical networks in the human brain revealed by cortical thickness from MRI [J]. Cerebral Cortex, 2007, 17(10): 2407-2419.
[19] Stiles J. Neural plasticity and cognitive development [J]. Developmental Neuropsychology, 2000, 18(2):237-72.
[20] Kolb B, Gibb R. Searching for the principles of brain plasticity and behavior [J]. Cortex, 2014, 58(1):251-260.
[21] Thomas C, Altenmüller E, Marckmann G, et al. Language processing in aphasia: changes in lateralization patterns during recovery reflect cerebral plasticity in adults [J]. Electroencephalography & Clinical Neurophysiology, 1997, 102(2):86-97.
[22] Caroni P, Donato F, Muller D. Structural plasticity upon learning: regulation and functions.[J]. Nature Reviews Neuroscience, 2012, 13(7):478-490.
[23] Austin C, Josh MM, Susanna R. Frontal lobe contusion in mice chronically impairs prefrontal-dependent behavior [J]. PLoS ONE, 2016, 11(3): e0151418.
[24] Carlin D, Bonerba J, Phipps M, et al. Planning impairments in frontal lobe dementia and frontal lobe lesion patients [J]. Neuropsychologia, 2000, 38(5):655-665.
[25] Salvador R, Suckling J, Coleman MR, et al. Neurophysiological architecture of functional magnetic resonance images of human brain [J]. Cerebral Cortex, 2005, 15(9):1332-1342.
[26] Zhiyong C, Xiaopeng H, Yongqiang Y, et al. Executive function and resting fMRI study in frontal lobe low-grade glioma patients [J]. Acta Universitatis Medicinalis Anhui, 2015(7):996-999.
[27] Posner MI, Sheese BE, Odluda Y, et al. Analyzing and shaping human attentional networks [J]. Neural Networks, 2006, 19(9):1422-1429.
[28] Carol G, Sinclair L, Valerie S, et al. Theory of mind in patients with frontal variant frontotemporal dementia and Alzheimer's disease: theoretical and practical implications [J]. Brain, 2002, 125(Pt 4):752-764.
[29] Stone VE, Baron-Cohen S, Knight RT. Frontal lobe contributions to theory of mind [J]. Journal of Cognitive Neuroscience, 1998, 10(5):640-656.
[30] Qin W, Yu C. Neural pathways conveying no visual information to the visual cortex [J]. Neural Plasticity, 2013, 2013(2):401-408. |
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