Abstract
Original language | English |
---|---|
Journal | PLoS One |
Volume | 8 |
Issue number | 7 |
DOIs | |
Publication status | Published - 2013 |
Externally published | Yes |
Keywords
- amfebutamone
- dopamine uptake inhibitor
- noradrenalin dopamine reuptake inhibitor
- noradrenalin uptake inhibitor
- serotonin noradrenalin reuptake inhibitor
- serotonin uptake inhibitor
- tricyclic antidepressant agent
- unclassified drug
- adult
- article
- clinical article
- controlled study
- cortical curvedness
- cortical shape
- drug treatment failure
- female
- hippocampus
- human
- inferior frontal gyrus
- major depression
- male
- middle frontal gyrus
- nervous system parameters
- neuroimaging
- nuclear magnetic resonance imaging
- remission
- serotoninergic system
- voxel based morphometry
- Adult
- Antidepressive Agents
- Brain
- Case-Control Studies
- Depressive Disorder, Major
- Female
- Humans
- Male
- Middle Aged
- Serotonin
- Young Adult
Access to Document
Other files and links
Fingerprint
Dive into the research topics of 'Cortical Shape and Curvedness Analysis of Structural Deficits in Remitting and Non-Remitting Depression'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS
In: PLoS One, Vol. 8, No. 7, 2013.
Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Cortical Shape and Curvedness Analysis of Structural Deficits in Remitting and Non-Remitting Depression
AU - Liao, Yuan-Lin
AU - Wang, Po-Shan
AU - Lu, Chia-Feng
AU - Hung, Chih-I.
AU - Li, Cheng-Ta
AU - Lin, Ching-Po
AU - Hsieh, Jen-Chuen
AU - Su, Tung-Ping
AU - Wu, Yu-Te
N1 - 被引用次數:1 Export Date: 31 March 2016 CODEN: POLNC 通訊地址: Su, T.-P.; Brain Research Center, National Yang-Ming University, Taipei, Taiwan; 電子郵件: [email protected] 化學物質/CAS: amfebutamone, 31677-93-7, 34911-55-2; Antidepressive Agents; Serotonin, 333DO1RDJY 製造商: General Electric, United States 參考文獻: Wittchen, H.U., Jacobi, F., Rehm, J., Gustavsson, A., Svensson, M., The size and burden of mental disorders and other disorders of the brain in Europe 2010 (2011) Eur Neuropsychopharmacol, 21, pp. 655-679; Hamilton, M., A rating scale for depression (1960) J Neurol Neurosurg Psychiatry, 23, pp. 56-62; Frank, E., Prien, R.F., Jarrett, R.B., Keller, M.B., Kupfer, D.J., Conceptualization and rationale for consensus definitions of terms in major depressive disorder. Remission, recovery, relapse, and recurrence (1991) Arch Gen Psychiatry, 48, pp. 851-855; Gaynes, B.N., Warden, D., Trivedi, M.H., Wisniewski, S.R., Fava, M., What did STAR*D teach us? Results from a large-scale, practical, clinical trial for patients with depression (2009) Psychiatr Serv, 60, pp. 1439-1445; Li, C.-T., Bai, Y.-M., Huang, Y.-L., Chen, Y.-S., Chen, T.-J., Association between antidepressant resistance in unipolar depression and subsequent bipolar disorder: cohort study (2012) Br J Psychiatry, 200, pp. 45-51; Herrera-Guzmán, I., Herrera-Abarca, J.E., Gudayol-Ferré, E., Herrera-Guzmán, D., Gómez-Carbajal, L., Effects of selective serotonin reuptake and dual serotonergic-noradrenergic reuptake treatments on attention and executive functions in patients with major depressive disorder (2010) Psychiatry Res, 177, pp. 323-329; Miller, J.M., Oquendo, M.A., Ogden, R.T., Mann, J.J., Parsey, R.V., Serotonin transporter binding as a possible predictor of one-year remission in major depressive disorder (2008) J Psychiatr Res, 42, pp. 1137-1144; Papakostas, G.I., Thase, M.E., Fava, M., Nelson, J.C., Shelton, R.C., Are antidepressant drugs that combine serotonergic and noradrenergic mechanisms of action more effective than the selective serotonin reuptake inhibitors in treating major depressive disorder? A meta-analysis of studies of newer agents (2007) Biol Psychiatry, 62, pp. 1217-1227; Murrough, J.W., Iacoviello, B., Neumeister, A., Charney, D.S., Iosifescu, D.V., Cognitive dysfunction in depression: neurocircuitry and new therapeutic strategies (2011) Neurobiol Learn Mem, 96, pp. 553-563; Diener, C., Kuehner, C., Brusniak, W., Ubl, B., Wessa, M., A meta-analysis of neurofunctional imaging studies of emotion and cognition in major depression (2012) Neuroimage, 61, pp. 677-685; Bora, E., Harrison, B.J., Davey, C.G., Yücel, M., Pantelis, C., Meta-analysis of volumetric abnormalities in cortico-striatal-pallidal-thalamic circuits in major depressive disorder (2012) Psychol Med, 42, pp. 671-681; Malykhin, N.V., Carter, R., Hegadoren, K.M., Seres, P., Coupland, N.J., Fronto-limbic volumetric changes in major depressive disorder (2012) J Affect Disord, 136, pp. 1104-1113; Zhang, Y., Yu, C., Zhou, Y., Li, K., Li, C., Decreased gyrification in major depressive disorder (2009) Neuroreport, 20, pp. 378-380; Tu, P.-C., Chen, L.-F., Hsieh, J.-C., Bai, Y.-M., Li, C.-T., Regional cortical thinning in patients with major depressive disorder: a surface-based morphometry study (2012) Psychiatry Res, 202, pp. 206-213; Penttilä, J., Cachia, A., Martinot, J.-L., Ringuenet, D., Wessa, M., Cortical folding difference between patients with early-onset and patients with intermediate-onset bipolar disorder (2009) Bipolar Disord, 11, pp. 361-370; Wu, Y.-T., Shyu, K.-K., Jao, C.-W., Liao, Y.-L., Wang, T.-Y., Quantifying cerebellar atrophy in multiple system atrophy of the cerebellar type (MSA-C) using three-dimensional gyrification index analysis (2012) Neuroimage, 61, pp. 1-9; Wu, Y.-T., Shyu, K.-K., Jao, C.-W., Wang, Z.-Y., Soong, B.-W., Fractal dimension analysis for quantifying cerebellar morphological change of multiple system atrophy of the cerebellar type (MSA-C) (2010) Neuroimage, 49, pp. 539-551; Ronan, L., Pienaar, R., Williams, G., Bullmore, E., Crow, T.J., Intrinsic curvature: a marker of millimeter-scale tangential cortico-cortical connectivity? (2011) Int J Neural Syst, 21, pp. 351-366; Awate, S.P., Yushkevich, P.A., Song, Z., Licht, D.J., Gee, J.C., Cerebral cortical folding analysis with multivariate modeling and testing: studies on gender differences and neonatal development (2010) Neuroimage, 53, pp. 450-459; Hu, H.-H., Chen, H.-Y., Hung, C.-I., Guo, W.-Y., Wu, Y.-T., Shape and curvedness analysis of brain morphology using human fetal magnetic resonance images in utero (2012) Brain Struct Funct, , In press; Chen, C.-H., Ridler, K., Suckling, J., Williams, S., Fu, C.H.Y., Brain imaging correlates of depressive symptom severity and predictors of symptom improvement after antidepressant treatment (2007) Biol Psychiatry, 62, pp. 407-414; Phillips, J.L., Batten, L.A., Aldosary, F., Tremblay, P., Blier, P., Brain-volume increase with sustained remission in patients with treatment-resistant unipolar depression (2012) J Clin Psychiatry, 73, pp. 625-631; Sheline, Y.I., Disabato, B.M., Hranilovich, J., Morris, C., D'Angelo, G., Treatment course with antidepressant therapy in late-life depression (2012) Am J Psychiatry; Arnone, D., McKie, S., Elliott, R., Juhasz, G., Thomas, E.J., State-dependent changes in hippocampal grey matter in depression (2012) Mol Psychiatry; Liu, F., Guo, W., Yu, D., Gao, Q., Gao, K., Classification of different therapeutic responses of major depressive disorder with multivariate pattern analysis method based on structural MR scans (2012) PLoS ONE, 7, pp. e40968; Li, C.-T., Lin, C.-P., Chou, K.-H., Chen, I.Y., Hsieh, J.-C., Structural and cognitive deficits in remitting and non-remitting recurrent depression: A voxel-based morphometric study (2010) Neuroimage, 50, pp. 347-356; Salvadore, G., Nugent, A.C., Lemaitre, H., Luckenbaugh, D.A., Tinsley, R., Prefrontal cortical abnormalities in currently depressed versus currently remitted patients with major depressive disorder (2011) Neuroimage, 54, pp. 2643-2651; Caetano, S.C., Hatch, J.P., Brambilla, P., Sassi, R.B., Nicoletti, M., Anatomical MRI study of hippocampus and amygdala in patients with current and remitted major depression (2004) Psychiatry Res, 132, pp. 141-147; Dunner, D.L., Major Depressive Disorder (2008) The Medical Basis of Psychiatry, pp. 73-83. , In: Fatemi SH, Clayton P, editors, Humana Press; Maalouf, F.T., Atwi, M., Brent, D.A., Treatment-resistant depression in adolescents: review and updates on clinical management (2011) Depress Anxiety, 28, pp. 946-954; Ardekani, B.A., Bachman, A.H., Model-based automatic detection of the anterior and posterior commissures on MRI scans (2009) Neuroimage, 46, pp. 677-682; Ségonne, F., Dale, A.M., Busa, E., Glessner, M., Salat, D., A hybrid approach to the skull stripping problem in MRI (2004) Neuroimage, 22, pp. 1060-1075; Sled, J.G., Zijdenbos, A.P., Evans, A.C., A nonparametric method for automatic correction of intensity nonuniformity in MRI data (1998) IEEE Trans Med Imaging, 17, pp. 87-97; Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., 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; Alemán-Gómez, Y., Melie-García, L., Valdés-Hernandez, P., IBASPM: Toolbox for automatic parcellation of brain structures (2006) The 12th Annual Meeting of the Organization for Human Brain Mapping, , Florence, Italy; Crespo-Facorro, B., Roiz-Santiáñez, R., Pérez-Iglesias, R., Mata, I., Rodríguez-Sánchez, J.M., Sex-specific variation of MRI-based cortical morphometry in adult healthy volunteers: the effect on cognitive functioning (2011) Prog Neuropsychopharmacol Biol Psychiatry, 35, pp. 616-623; Janssen, J., Reig, S., Alemán, Y., Schnack, H., Udias, J.M., Gyral and sulcal cortical thinning in adolescents with first episode early-onset psychosis (2009) Biol Psychiatry, 66, pp. 1047-1054; Prasad, K.M., Goradia, D., Eack, S., Rajagopalan, M., Nutche, J., Cortical surface characteristics among offspring of schizophrenia subjects (2010) Schizophr Res, 116, pp. 143-151; Thirion, J.-P., Gourdon, A., Computing the differential characteristics of isointensity surfaces (1995) Comput Vis Image Underst, 61, pp. 190-202; Wagner, G., Koch, K., Schachtzabel, C., Reichenbach, J.R., Sauer, H., Enhanced rostral anterior cingulate cortex activation during cognitive control is related to orbitofrontal volume reduction in unipolar depression (2008) J Psychiatry Neurosci, 33, pp. 199-208; Du, M.-Y., Wu, Q.-Z., Yue, Q., Li, J., Liao, Y., Voxelwise meta-analysis of gray matter reduction in major depressive disorder (2012) Prog Neuropsychopharmacol Biol Psychiatry, 36, pp. 11-16; Lim, H.K., Jung, W.S., Ahn, K.J., Won, W.Y., Hahn, C., Regional cortical thickness and subcortical volume changes are associated with cognitive impairments in the drug-naive patients with late-onset depression (2012) Neuropsychopharmacology, 37, pp. 838-849; Owens, M.J., Nemeroff, C.B., Role of serotonin in the pathophysiology of depression: focus on the serotonin transporter (1994) Clin Chem, 40, pp. 288-295; Parsey, R.V., Olvet, D.M., Oquendo, M.A., Huang, Y.-y., Ogden, R.T., Higher 5-HT1A receptor binding potential during a major depressive episode predicts poor treatment response: preliminary data from a naturalistic study (2006) Neuropsychopharmacology, 31, pp. 1745-1749; Miller, J.M., Brennan, K.G., Ogden, T.R., Oquendo, M.A., Sullivan, G.M., Elevated serotonin 1A binding in remitted major depressive disorder: evidence for a trait biological abnormality (2009) Neuropsychopharmacology, 34, pp. 2275-2284; Höflich, A., Baldinger, P., Savli, M., Lanzenberger, R., Kasper, S., Imaging treatment effects in depression (2012) Rev Neurosci, 23, pp. 227-252
PY - 2013
Y1 - 2013
N2 - In morphometric neuroimaging studies, the relationship between brain structural changes and the antidepressant treatment response in patients with major depressive disorder has been explored to search depression-trait biomarkers. Although patients were treated with serotonin-related drugs, whether the same treatment resulted in remission and non-remission in depressed patients is currently under investigation. We recruited 25 depressed patients and 25 healthy controls and acquired volumetric magnetic resonance imaging of each participant. We used the shape index and curvedness to classify cortical shapes and quantify shape complexities, respectively, in studying the pharmacological effect on brain morphology. The results showed that different regions of structural abnormalities emerged between remitting and non-remitting patients when contrasted with healthy controls. In addition to comparing structural metrics in each cortical parcellation, similar to the traditional voxel-based morphometric method, we highlighted the importance of structural integrity along the serotonin pathway in response to medication treatment. We discovered that disrupted serotonin-related cortical regions might cause non-remission to antidepressant treatment from a pharmacological perspective. The anomalous areas manifested in non-remitting patients were mainly in the frontolimbic areas, which can be used to differentiate remitting from non-remitting participants before medication treatment. Because non-remission is the failure to respond to treatment with serotonin-related drugs, our method may help clinicians choose appropriate medications for non-remitting patients. © 2013 Liao et al.
AB - In morphometric neuroimaging studies, the relationship between brain structural changes and the antidepressant treatment response in patients with major depressive disorder has been explored to search depression-trait biomarkers. Although patients were treated with serotonin-related drugs, whether the same treatment resulted in remission and non-remission in depressed patients is currently under investigation. We recruited 25 depressed patients and 25 healthy controls and acquired volumetric magnetic resonance imaging of each participant. We used the shape index and curvedness to classify cortical shapes and quantify shape complexities, respectively, in studying the pharmacological effect on brain morphology. The results showed that different regions of structural abnormalities emerged between remitting and non-remitting patients when contrasted with healthy controls. In addition to comparing structural metrics in each cortical parcellation, similar to the traditional voxel-based morphometric method, we highlighted the importance of structural integrity along the serotonin pathway in response to medication treatment. We discovered that disrupted serotonin-related cortical regions might cause non-remission to antidepressant treatment from a pharmacological perspective. The anomalous areas manifested in non-remitting patients were mainly in the frontolimbic areas, which can be used to differentiate remitting from non-remitting participants before medication treatment. Because non-remission is the failure to respond to treatment with serotonin-related drugs, our method may help clinicians choose appropriate medications for non-remitting patients. © 2013 Liao et al.
KW - amfebutamone
KW - dopamine uptake inhibitor
KW - noradrenalin dopamine reuptake inhibitor
KW - noradrenalin uptake inhibitor
KW - serotonin noradrenalin reuptake inhibitor
KW - serotonin uptake inhibitor
KW - tricyclic antidepressant agent
KW - unclassified drug
KW - adult
KW - article
KW - clinical article
KW - controlled study
KW - cortical curvedness
KW - cortical shape
KW - drug treatment failure
KW - female
KW - hippocampus
KW - human
KW - inferior frontal gyrus
KW - major depression
KW - male
KW - middle frontal gyrus
KW - nervous system parameters
KW - neuroimaging
KW - nuclear magnetic resonance imaging
KW - remission
KW - serotoninergic system
KW - voxel based morphometry
KW - Adult
KW - Antidepressive Agents
KW - Brain
KW - Case-Control Studies
KW - Depressive Disorder, Major
KW - Female
KW - Humans
KW - Male
KW - Middle Aged
KW - Serotonin
KW - Young Adult
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-84880480214&partnerID=40&md5=7807738390f28ef0e8dd5e0c0e29b39b
UR - https://www.scopus.com/results/citedbyresults.uri?sort=plf-f&cite=2-s2.0-84880480214&src=s&imp=t&sid=1b2f3e426eba3852b7d0e559e11fe112&sot=cite&sdt=a&sl=0&origin=recordpage&editSaveSearch=&txGid=01f7607bb20235c8934d730136aa7551
U2 - 10.1371/journal.pone.0068625
DO - 10.1371/journal.pone.0068625
M3 - Article
SN - 1932-6203
VL - 8
JO - PLoS One
JF - PLoS One
IS - 7
ER -