Investigation of differences on cortical connectivity between patients with major depressive disorder and normal subjects using mr diffusion tensor imaging

2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010

Chia-Feng Lu, Shin Teng, Yu-Te Wu, Po-Shan Wang, Tze-Chen Yeh, Tung-Ping Su, Jen-Chuen Hsieh, Int. Assoc. Comput. Sci. Inf. Technol. (IACSIT)

Research output: Contribution to conferenceOther

1 Citation (Scopus)

Abstract

Functional and structural neuroimaging studies of major depression disorder (MDD) have identified neurophysiologic abnormalities in multiple areas of the prefrontal cortex, the insula, the amygdale and the related parts of the striatum and thalamus. The functional knowledge of MDD was mainly obtained from the fMRI and PET studies, which reveal the local differences in blood oxygenation and metabolism of the specific neurotransmitters, respectively. For the structural studies, the T1-based and DTI (diffusion tensor image)-based studies, which defined the abnormalities in cortical thickness and the integrity of the white matter, respectively, were commonly used. However, most of these studies only addressed the local differences compared to the normal subjects and were limited to provide the overall associations of the cortical connectivity within the patient group. In this study, we employed the DTI-based fiber bundle tracking technique along with the graph theoretical analysis to investigate the difference of cortical connectivity between the patients with MDD and the normal group from both the global (mean properties for all regions) and local (region-by-region) aspects. Out results concluded that: 1) there were no globally but locally significant difference between two groups, specifically, the increase of the local connectivity in parietal and occipital lobes to compensate the decrease of the connectivity in frontal and temporal lobe; 2) the connection strength from left insula to left superior temporal pole was stronger in normal group than that in MDD group; 3) the connection strengths from left putamen to left triangular inferior frontal gyrus and left precuneus, were stronger in patient group than that in normal group. © 2010 IEEE.
Original languageEnglish
Pages79-83
Number of pages5
DOIs
Publication statusPublished - 2010
Externally publishedYes

Fingerprint

Biomedical Technology
Diffusion Tensor Imaging
Major Depressive Disorder
Computational Biology
Parietal Lobe
Depression
Prefrontal Cortex
Multiple Abnormalities
Occipital Lobe
Functional Neuroimaging
Putamen
Frontal Lobe
Temporal Lobe
Thalamus
Neurotransmitter Agents
Magnetic Resonance Imaging

Keywords

  • Cortical connectivity
  • Diffusion tensor imaging
  • Graph theoretical analysis
  • Major depressive disorder
  • Blood oxygenation
  • Connection strength
  • Cortical thickness
  • Diffusion tensor images
  • Fiber bundles
  • Local connectivity
  • MR-diffusion
  • Multiple areas
  • Neuro-imaging
  • Prefrontal cortex
  • Striatum
  • Structural studies
  • Temporal lobes
  • Tracking techniques
  • White matter
  • Bioinformatics
  • Brain
  • Diffusion
  • Graph theory
  • Oxygenation
  • Tensors

Cite this

Investigation of differences on cortical connectivity between patients with major depressive disorder and normal subjects using mr diffusion tensor imaging : 2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010. / Lu, Chia-Feng; Teng, Shin; Wu, Yu-Te; Wang, Po-Shan; Yeh, Tze-Chen; Su, Tung-Ping; Hsieh, Jen-Chuen; (IACSIT), Int. Assoc. Comput. Sci. Inf. Technol.

2010. 79-83.

Research output: Contribution to conferenceOther

Lu, Chia-Feng ; Teng, Shin ; Wu, Yu-Te ; Wang, Po-Shan ; Yeh, Tze-Chen ; Su, Tung-Ping ; Hsieh, Jen-Chuen ; (IACSIT), Int. Assoc. Comput. Sci. Inf. Technol. / Investigation of differences on cortical connectivity between patients with major depressive disorder and normal subjects using mr diffusion tensor imaging : 2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010. 5 p.
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title = "Investigation of differences on cortical connectivity between patients with major depressive disorder and normal subjects using mr diffusion tensor imaging: 2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010",
abstract = "Functional and structural neuroimaging studies of major depression disorder (MDD) have identified neurophysiologic abnormalities in multiple areas of the prefrontal cortex, the insula, the amygdale and the related parts of the striatum and thalamus. The functional knowledge of MDD was mainly obtained from the fMRI and PET studies, which reveal the local differences in blood oxygenation and metabolism of the specific neurotransmitters, respectively. For the structural studies, the T1-based and DTI (diffusion tensor image)-based studies, which defined the abnormalities in cortical thickness and the integrity of the white matter, respectively, were commonly used. However, most of these studies only addressed the local differences compared to the normal subjects and were limited to provide the overall associations of the cortical connectivity within the patient group. In this study, we employed the DTI-based fiber bundle tracking technique along with the graph theoretical analysis to investigate the difference of cortical connectivity between the patients with MDD and the normal group from both the global (mean properties for all regions) and local (region-by-region) aspects. Out results concluded that: 1) there were no globally but locally significant difference between two groups, specifically, the increase of the local connectivity in parietal and occipital lobes to compensate the decrease of the connectivity in frontal and temporal lobe; 2) the connection strength from left insula to left superior temporal pole was stronger in normal group than that in MDD group; 3) the connection strengths from left putamen to left triangular inferior frontal gyrus and left precuneus, were stronger in patient group than that in normal group. {\circledC} 2010 IEEE.",
keywords = "Cortical connectivity, Diffusion tensor imaging, Graph theoretical analysis, Major depressive disorder, Blood oxygenation, Connection strength, Cortical thickness, Diffusion tensor images, Fiber bundles, Local connectivity, MR-diffusion, Multiple areas, Neuro-imaging, Prefrontal cortex, Striatum, Structural studies, Temporal lobes, Tracking techniques, White matter, Bioinformatics, Brain, Diffusion, Graph theory, Oxygenation, Tensors",
author = "Chia-Feng Lu and Shin Teng and Yu-Te Wu and Po-Shan Wang and Tze-Chen Yeh and Tung-Ping Su and Jen-Chuen Hsieh and (IACSIT), {Int. Assoc. Comput. Sci. Inf. Technol.}",
note = "會議代碼: 81050 被引用次數:1 Export Date: 31 March 2016 通訊地址: Lu, C.-F.; Dept. of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan; 電子郵件: alvin4016@yahoo.com.tw 參考文獻: Haldane, M., Frangou, S., Functional neuroimaging studies in mood disorders (2006) Acta Neuropsychiatrica, 18, pp. 88-89; Li, L., Ma, N., Li, Z., Tan, L., Liu, J., Gong, G., Shu, N., Xu, L., Prefrontal white matter abnormalities in young adult with major depressive disorder: A diffusion tensor imaging study (2007) Brain Research, 1168 (1), pp. 124-128. , DOI 10.1016/j.brainres.2007.06.094, PII S0006899307016393; Matsuo, K., Rosenberg, D.R., Easter, P.C., MacMaster, F.P., Chen, H.H., Nicoletti, M., Striatal volume abnormalities in treatment- naive patients diagnosed with pediatric major depressive disorder (2008) Journal of Child and Adolescent Psychopharmacology, 18, pp. 121-131; Giesecke, T., Gracely, R.H., Williams, D.A., Geisser, M.E., Petzke, F.W., Clauw, D.J., The relationship between depression, clinical pain, and experimental pain in a chronic pain cohort (2005) Arthritis & Rheumatism, 52 (5), pp. 1577-1584; Liu, Y., Liang, M., Zhou, Y., He, Y., Hao, Y., Song, M., Yu, C., Jiang, T., Disrupted small-world networks in schizophrenia (2008) Brain, 131, pp. 945-961; Hagmann, P., Cammoun, L., Gigandet, X., Meuli, R., Honey, C.J., Mapping the structural core of human cerebral cortex (2008) PLoS Biol, 6 (7), pp. 1479-1493; He, Y., Chen, Z.J., Evans, A.C., Small-world anatomical networks in the human brain revealed by cortical thickness from MRI (2007) Cereb. Cortex, 17, pp. 2407-2419; Stam, C.J., Jones, B.F., Nolte, G., Breakspear, M., Scheltens, Ph., Small-world networks and functional connectivity in alzheimer's disease (2007) Cereb. Cortex, 17, pp. 92-99; Tzourio-Mazoyer, N., Landeau, N., Papathanassiou, B., Crivello, D., Etard, F., Delcroix, O., Mazoyer, B., Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain (2002) NeuroImage, 15, pp. 273-289; Jiang, H., Van Zijl, M.P.C., Kim, J., Pearlson, G.D., Mori, S., DtiStudio: Resource program for diffusion tensor computation and fiber bundle tracking (2006) Computer Methods and Programs in Biomedicine, 81 (2), pp. 106-116",
year = "2010",
doi = "10.1109/ICBBT.2010.5479007",
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T1 - Investigation of differences on cortical connectivity between patients with major depressive disorder and normal subjects using mr diffusion tensor imaging

T2 - 2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010

AU - Lu, Chia-Feng

AU - Teng, Shin

AU - Wu, Yu-Te

AU - Wang, Po-Shan

AU - Yeh, Tze-Chen

AU - Su, Tung-Ping

AU - Hsieh, Jen-Chuen

AU - (IACSIT), Int. Assoc. Comput. Sci. Inf. Technol.

N1 - 會議代碼: 81050 被引用次數:1 Export Date: 31 March 2016 通訊地址: Lu, C.-F.; Dept. of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan; 電子郵件: alvin4016@yahoo.com.tw 參考文獻: Haldane, M., Frangou, S., Functional neuroimaging studies in mood disorders (2006) Acta Neuropsychiatrica, 18, pp. 88-89; Li, L., Ma, N., Li, Z., Tan, L., Liu, J., Gong, G., Shu, N., Xu, L., Prefrontal white matter abnormalities in young adult with major depressive disorder: A diffusion tensor imaging study (2007) Brain Research, 1168 (1), pp. 124-128. , DOI 10.1016/j.brainres.2007.06.094, PII S0006899307016393; Matsuo, K., Rosenberg, D.R., Easter, P.C., MacMaster, F.P., Chen, H.H., Nicoletti, M., Striatal volume abnormalities in treatment- naive patients diagnosed with pediatric major depressive disorder (2008) Journal of Child and Adolescent Psychopharmacology, 18, pp. 121-131; Giesecke, T., Gracely, R.H., Williams, D.A., Geisser, M.E., Petzke, F.W., Clauw, D.J., The relationship between depression, clinical pain, and experimental pain in a chronic pain cohort (2005) Arthritis & Rheumatism, 52 (5), pp. 1577-1584; Liu, Y., Liang, M., Zhou, Y., He, Y., Hao, Y., Song, M., Yu, C., Jiang, T., Disrupted small-world networks in schizophrenia (2008) Brain, 131, pp. 945-961; Hagmann, P., Cammoun, L., Gigandet, X., Meuli, R., Honey, C.J., Mapping the structural core of human cerebral cortex (2008) PLoS Biol, 6 (7), pp. 1479-1493; He, Y., Chen, Z.J., Evans, A.C., Small-world anatomical networks in the human brain revealed by cortical thickness from MRI (2007) Cereb. Cortex, 17, pp. 2407-2419; Stam, C.J., Jones, B.F., Nolte, G., Breakspear, M., Scheltens, Ph., Small-world networks and functional connectivity in alzheimer's disease (2007) Cereb. Cortex, 17, pp. 92-99; Tzourio-Mazoyer, N., Landeau, N., Papathanassiou, B., Crivello, D., Etard, F., Delcroix, O., Mazoyer, B., Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain (2002) NeuroImage, 15, pp. 273-289; Jiang, H., Van Zijl, M.P.C., Kim, J., Pearlson, G.D., Mori, S., DtiStudio: Resource program for diffusion tensor computation and fiber bundle tracking (2006) Computer Methods and Programs in Biomedicine, 81 (2), pp. 106-116

PY - 2010

Y1 - 2010

N2 - Functional and structural neuroimaging studies of major depression disorder (MDD) have identified neurophysiologic abnormalities in multiple areas of the prefrontal cortex, the insula, the amygdale and the related parts of the striatum and thalamus. The functional knowledge of MDD was mainly obtained from the fMRI and PET studies, which reveal the local differences in blood oxygenation and metabolism of the specific neurotransmitters, respectively. For the structural studies, the T1-based and DTI (diffusion tensor image)-based studies, which defined the abnormalities in cortical thickness and the integrity of the white matter, respectively, were commonly used. However, most of these studies only addressed the local differences compared to the normal subjects and were limited to provide the overall associations of the cortical connectivity within the patient group. In this study, we employed the DTI-based fiber bundle tracking technique along with the graph theoretical analysis to investigate the difference of cortical connectivity between the patients with MDD and the normal group from both the global (mean properties for all regions) and local (region-by-region) aspects. Out results concluded that: 1) there were no globally but locally significant difference between two groups, specifically, the increase of the local connectivity in parietal and occipital lobes to compensate the decrease of the connectivity in frontal and temporal lobe; 2) the connection strength from left insula to left superior temporal pole was stronger in normal group than that in MDD group; 3) the connection strengths from left putamen to left triangular inferior frontal gyrus and left precuneus, were stronger in patient group than that in normal group. © 2010 IEEE.

AB - Functional and structural neuroimaging studies of major depression disorder (MDD) have identified neurophysiologic abnormalities in multiple areas of the prefrontal cortex, the insula, the amygdale and the related parts of the striatum and thalamus. The functional knowledge of MDD was mainly obtained from the fMRI and PET studies, which reveal the local differences in blood oxygenation and metabolism of the specific neurotransmitters, respectively. For the structural studies, the T1-based and DTI (diffusion tensor image)-based studies, which defined the abnormalities in cortical thickness and the integrity of the white matter, respectively, were commonly used. However, most of these studies only addressed the local differences compared to the normal subjects and were limited to provide the overall associations of the cortical connectivity within the patient group. In this study, we employed the DTI-based fiber bundle tracking technique along with the graph theoretical analysis to investigate the difference of cortical connectivity between the patients with MDD and the normal group from both the global (mean properties for all regions) and local (region-by-region) aspects. Out results concluded that: 1) there were no globally but locally significant difference between two groups, specifically, the increase of the local connectivity in parietal and occipital lobes to compensate the decrease of the connectivity in frontal and temporal lobe; 2) the connection strength from left insula to left superior temporal pole was stronger in normal group than that in MDD group; 3) the connection strengths from left putamen to left triangular inferior frontal gyrus and left precuneus, were stronger in patient group than that in normal group. © 2010 IEEE.

KW - Cortical connectivity

KW - Diffusion tensor imaging

KW - Graph theoretical analysis

KW - Major depressive disorder

KW - Blood oxygenation

KW - Connection strength

KW - Cortical thickness

KW - Diffusion tensor images

KW - Fiber bundles

KW - Local connectivity

KW - MR-diffusion

KW - Multiple areas

KW - Neuro-imaging

KW - Prefrontal cortex

KW - Striatum

KW - Structural studies

KW - Temporal lobes

KW - Tracking techniques

KW - White matter

KW - Bioinformatics

KW - Brain

KW - Diffusion

KW - Graph theory

KW - Oxygenation

KW - Tensors

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