메뉴 건너뛰기




Volumn 1, Issue 2, 2016, Pages 186-194

Individualized Prediction and Clinical Staging of Bipolar Disorders Using Neuroanatomical Biomarkers

Author keywords

Big data; Bipolar disorders; Clinical staging; Machine learning; Manic episodes; Neuroimaging

Indexed keywords

ADULT; ALGORITHM; ARTICLE; ARTIFACT; BIPOLAR DISORDER; BIPOLAR MANIA; BRAIN MAPPING; BRAIN REGION; BRAIN STEM; CEREBELLUM; CINGULATE GYRUS; CONTROLLED STUDY; CORPUS CALLOSUM; DISEASE DURATION; FEMALE; GRAY MATTER; HOSPITALIZATION; HUMAN; MAJOR CLINICAL STUDY; MALE; MANIA; MEDIAL ORBITOFRONTAL CORTEX; MESENCEPHALON; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; RELEVANCE VECTOR MACHINE; SENSITIVITY AND SPECIFICITY; SUPERIOR FRONTAL GYRUS; TEMPORAL LOBE; WHITE MATTER;

EID: 84959262902     PISSN: 24519022     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.bpsc.2016.01.001     Document Type: Article
Times cited : (76)

References (65)
  • 2
    • 70349103773 scopus 로고    scopus 로고
    • Magnetic resonance imaging studies in bipolar disorder and schizophrenia: Meta-analysis
    • D. Arnone, J. Cavanagh, D. Gerber, S. Lawrie, K. Ebmeier, and A. McIntosh Magnetic resonance imaging studies in bipolar disorder and schizophrenia: Meta-analysis Br J Psychiatry 195 2009 194 201
    • (2009) Br J Psychiatry , vol.195 , pp. 194-201
    • Arnone, D.1    Cavanagh, J.2    Gerber, D.3    Lawrie, S.4    Ebmeier, K.5    McIntosh, A.6
  • 3
    • 84863370632 scopus 로고    scopus 로고
    • Grey matter differences in bipolar disorder: A meta-analysis of voxel-based morphometry studies
    • S. Selvaraj, D. Arnone, D. Job, A. Stanfield, T.F. Farrow, A.C. Nugent, and et al. Grey matter differences in bipolar disorder: A meta-analysis of voxel-based morphometry studies Bipolar Disord 14 2012 135 145
    • (2012) Bipolar Disord , vol.14 , pp. 135-145
    • Selvaraj, S.1    Arnone, D.2    Job, D.3    Stanfield, A.4    Farrow, T.F.5    Nugent, A.C.6
  • 4
    • 77951794934 scopus 로고    scopus 로고
    • Voxelwise meta-analysis of gray matter abnormalities in bipolar disorder
    • E. Bora, A. Fornito, M. Yücel, and C. Pantelis Voxelwise meta-analysis of gray matter abnormalities in bipolar disorder Biol Psychiatry 67 2010 1097 1105
    • (2010) Biol Psychiatry , vol.67 , pp. 1097-1105
    • Bora, E.1    Fornito, A.2    Yücel, M.3    Pantelis, C.4
  • 5
    • 84878936818 scopus 로고    scopus 로고
    • White matter differences in euthymic bipolar i disorder: A combined magnetic resonance imaging and diffusion tensor imaging voxel-based study
    • L. Emsell, C. Langan, W. Van Hecke, G.J. Barker, A. Leemans, S. Sunaert, and et al. White matter differences in euthymic bipolar I disorder: A combined magnetic resonance imaging and diffusion tensor imaging voxel-based study Bipolar Disord 15 2013 365 376
    • (2013) Bipolar Disord , vol.15 , pp. 365-376
    • Emsell, L.1    Langan, C.2    Van Hecke, W.3    Barker, G.J.4    Leemans, A.5    Sunaert, S.6
  • 6
    • 0345724761 scopus 로고    scopus 로고
    • Magnetic resonance imaging study of corpus callosum abnormalities in patients with bipolar disorder
    • P. Brambilla, M.A. Nicoletti, R.B. Sassi, A.G. Mallinger, E. Frank, D.J. Kupfer, and et al. Magnetic resonance imaging study of corpus callosum abnormalities in patients with bipolar disorder Biol Psychiatry 54 2003 1294 1297
    • (2003) Biol Psychiatry , vol.54 , pp. 1294-1297
    • Brambilla, P.1    Nicoletti, M.A.2    Sassi, R.B.3    Mallinger, A.G.4    Frank, E.5    Kupfer, D.J.6
  • 7
    • 78149403344 scopus 로고    scopus 로고
    • Manic episodes are associated with grey matter volume reduction - A voxel-based morphometry brain analysis
    • C. Ekman, J. Lind, E. Ryden, M. Ingvar, and M. Landén Manic episodes are associated with grey matter volume reduction - a voxel-based morphometry brain analysis Acta Psychiatr Scand 122 2010 507 515
    • (2010) Acta Psychiatr Scand , vol.122 , pp. 507-515
    • Ekman, C.1    Lind, J.2    Ryden, E.3    Ingvar, M.4    Landén, M.5
  • 9
    • 0036842774 scopus 로고    scopus 로고
    • Ventricular and periventricular structural volumes in first-versus multiple-episode bipolar disorder
    • S.M. Strakowski, M.P. DelBello, M.E. Zimmerman, G.E. Getz, N.P. Mills, J. Ret, and et al. Ventricular and periventricular structural volumes in first-versus multiple-episode bipolar disorder Am J Psychiatry 159 2002 1841 1847
    • (2002) Am J Psychiatry , vol.159 , pp. 1841-1847
    • Strakowski, S.M.1    DelBello, M.P.2    Zimmerman, M.E.3    Getz, G.E.4    Mills, N.P.5    Ret, J.6
  • 12
    • 84860603285 scopus 로고    scopus 로고
    • Multi-centre diagnostic classification of individual structural neuroimaging scans from patients with major depressive disorder
    • B. Mwangi, K.P. Ebmeier, K. Matthews, and J.D. Steele Multi-centre diagnostic classification of individual structural neuroimaging scans from patients with major depressive disorder Brain 135 2012 1508 1521
    • (2012) Brain , vol.135 , pp. 1508-1521
    • Mwangi, B.1    Ebmeier, K.P.2    Matthews, K.3    Steele, J.D.4
  • 13
    • 84897126113 scopus 로고    scopus 로고
    • Psychiatric disorders: Diagnosis to therapy
    • J.H. Krystal, and M.W. State Psychiatric disorders: Diagnosis to therapy Cell 157 2014 201 214
    • (2014) Cell , vol.157 , pp. 201-214
    • Krystal, J.H.1    State, M.W.2
  • 14
    • 84855732200 scopus 로고    scopus 로고
    • The challenges and promise of neuroimaging in psychiatry
    • D.E. Linden The challenges and promise of neuroimaging in psychiatry Neuron 73 2012 8 22
    • (2012) Neuron , vol.73 , pp. 8-22
    • Linden, D.E.1
  • 15
    • 84857000430 scopus 로고    scopus 로고
    • Using support vector machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review
    • G. Orrù, W. Pettersson-Yeo, A.F. Marquand, G. Sartori, and A. Mechelli Using support vector machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review Neurosci Biobehav Rev 36 2012 1140 1152
    • (2012) Neurosci Biobehav Rev , vol.36 , pp. 1140-1152
    • Orrù, G.1    Pettersson-Yeo, W.2    Marquand, A.F.3    Sartori, G.4    Mechelli, A.5
  • 16
    • 84890859314 scopus 로고    scopus 로고
    • Predictive classification of individual magnetic resonance imaging scans from children and adolescents
    • B. Johnston, B. Mwangi, K. Matthews, D. Coghill, and J. Steele Predictive classification of individual magnetic resonance imaging scans from children and adolescents Eur Child Adolesc Psychiatry 22 2013 733 744
    • (2013) Eur Child Adolesc Psychiatry , vol.22 , pp. 733-744
    • Johnston, B.1    Mwangi, B.2    Matthews, K.3    Coghill, D.4    Steele, J.5
  • 17
    • 84899902574 scopus 로고    scopus 로고
    • A review of feature reduction techniques in neuroimaging
    • B. Mwangi, T.S. Tian, and J.C. Soares A review of feature reduction techniques in neuroimaging Neuroinformatics 12 2014 229 244
    • (2014) Neuroinformatics , vol.12 , pp. 229-244
    • Mwangi, B.1    Tian, T.S.2    Soares, J.C.3
  • 18
    • 83755174702 scopus 로고    scopus 로고
    • Prediction of illness severity in patients with major depression using structural MR brain scans
    • B. Mwangi, K. Matthews, and J.D. Steele Prediction of illness severity in patients with major depression using structural MR brain scans J Magn Reson Imaging 35 2012 64 71
    • (2012) J Magn Reson Imaging , vol.35 , pp. 64-71
    • Mwangi, B.1    Matthews, K.2    Steele, J.D.3
  • 19
    • 84941744520 scopus 로고    scopus 로고
    • Cross-validation and hypothesis testing in neuroimaging: An irenic comment on the exchange between Friston and Lindquist et al
    • P.T. Reiss Cross-validation and hypothesis testing in neuroimaging: An irenic comment on the exchange between Friston and Lindquist et al Neuroimage 116 2015 248 254
    • (2015) Neuroimage , vol.116 , pp. 248-254
    • Reiss, P.T.1
  • 20
    • 84920842240 scopus 로고    scopus 로고
    • Predicting suicides after psychiatric hospitalization in US Army soldiers: The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)
    • R.C. Kessler, C.H. Warner, C. Ivany, M.V. Petukhova, S. Rose, E.J. Bromet, and et al. Predicting suicides after psychiatric hospitalization in US Army soldiers: The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) JAMA Psychiatry 72 2015 49 57
    • (2015) JAMA Psychiatry , vol.72 , pp. 49-57
    • Kessler, R.C.1    Warner, C.H.2    Ivany, C.3    Petukhova, M.V.4    Rose, S.5    Bromet, E.J.6
  • 21
    • 84920816477 scopus 로고    scopus 로고
    • Predicting treatment response to cognitive behavioral therapy in panic disorder with agoraphobia by integrating local neural information
    • T. Hahn, T. Kircher, B. Straube, H.-U. Wittchen, C. Konrad, A. Ströhle, and et al. Predicting treatment response to cognitive behavioral therapy in panic disorder with agoraphobia by integrating local neural information JAMA Psychiatry 72 2015 68 74
    • (2015) JAMA Psychiatry , vol.72 , pp. 68-74
    • Hahn, T.1    Kircher, T.2    Straube, B.3    Wittchen, H.-U.4    Konrad, C.5    Ströhle, A.6
  • 22
    • 84952637704 scopus 로고    scopus 로고
    • From estimating activation locality to predicting disorder: A review of pattern recognition for neuroimaging-based psychiatric diagnostics
    • T. Wolfers, J.K. Buitelaar, C. Beckmann, B. Franke, and A.F. Marquand From estimating activation locality to predicting disorder: A review of pattern recognition for neuroimaging-based psychiatric diagnostics Neurosci Biobehav Rev 57 2015 328 349
    • (2015) Neurosci Biobehav Rev , vol.57 , pp. 328-349
    • Wolfers, T.1    Buitelaar, J.K.2    Beckmann, C.3    Franke, B.4    Marquand, A.F.5
  • 23
    • 84884243434 scopus 로고    scopus 로고
    • Can structural MRI aid in clinical classification? A machine learning study in two independent samples of patients with schizophrenia, bipolar disorder and healthy subjects
    • H.G. Schnack, M. Nieuwenhuis, N.E. van Haren, L. Abramovic, T.W. Scheewe, R.M. Brouwer, and et al. Can structural MRI aid in clinical classification? A machine learning study in two independent samples of patients with schizophrenia, bipolar disorder and healthy subjects Neuroimage 84 2014 299 306
    • (2014) Neuroimage , vol.84 , pp. 299-306
    • Schnack, H.G.1    Nieuwenhuis, M.2    Van Haren, N.E.3    Abramovic, L.4    Scheewe, T.W.5    Brouwer, R.M.6
  • 24
    • 84891815934 scopus 로고    scopus 로고
    • Examination of the predictive value of structural magnetic resonance scans in bipolar disorder: A pattern classification approach
    • V. Rocha-Rego, J. Jogia, A. Marquand, J. Mourao-Miranda, A. Simmons, and S. Frangou Examination of the predictive value of structural magnetic resonance scans in bipolar disorder: A pattern classification approach Psychol Med 44 2014 519 532
    • (2014) Psychol Med , vol.44 , pp. 519-532
    • Rocha-Rego, V.1    Jogia, J.2    Marquand, A.3    Mourao-Miranda, J.4    Simmons, A.5    Frangou, S.6
  • 25
    • 84920627847 scopus 로고    scopus 로고
    • Brain morphometric biomarkers distinguishing unipolar and bipolar depression: A voxel-based morphometry-pattern classification approach
    • R. Redlich, J.R. Almeida, D. Grotegerd, N. Opel, H. Kugel, W. Heindel, and et al. Brain morphometric biomarkers distinguishing unipolar and bipolar depression: A voxel-based morphometry-pattern classification approach JAMA Psychiatry 71 2014 1222 1230
    • (2014) JAMA Psychiatry , vol.71 , pp. 1222-1230
    • Redlich, R.1    Almeida, J.R.2    Grotegerd, D.3    Opel, N.4    Kugel, H.5    Heindel, W.6
  • 26
  • 28
    • 0018175277 scopus 로고
    • A rating scale for mania: Reliability, validity and sensitivity
    • R. Young, J. Biggs, V. Ziegler, and D. Meyer A rating scale for mania: Reliability, validity and sensitivity Br J Psychiatry 133 1978 429 435
    • (1978) Br J Psychiatry , vol.133 , pp. 429-435
    • Young, R.1    Biggs, J.2    Ziegler, V.3    Meyer, D.4
  • 30
    • 34548832230 scopus 로고    scopus 로고
    • A fast diffeomorphic image registration algorithm
    • J. Ashburner A fast diffeomorphic image registration algorithm Neuroimage 38 2007 95 113
    • (2007) Neuroimage , vol.38 , pp. 95-113
    • Ashburner, J.1
  • 31
    • 79952708926 scopus 로고    scopus 로고
    • Prognostic prediction of therapeutic response in depression using high-field MR imaging
    • Q. Gong, Q. Wu, C. Scarpazza, S. Lui, Z. Jia, A. Marquand, and et al. Prognostic prediction of therapeutic response in depression using high-field MR imaging Neuroimage 55 2011 1497 1503
    • (2011) Neuroimage , vol.55 , pp. 1497-1503
    • Gong, Q.1    Wu, Q.2    Scarpazza, C.3    Lui, S.4    Jia, Z.5    Marquand, A.6
  • 32
    • 84906516292 scopus 로고    scopus 로고
    • Brainstem abnormalities in attention deficit hyperactivity disorder support high accuracy individual diagnostic classification
    • B.A. Johnston, B. Mwangi, K. Matthews, D. Coghill, K. Konrad, and J.D. Steele Brainstem abnormalities in attention deficit hyperactivity disorder support high accuracy individual diagnostic classification Hum Brain Mapp 35 2014 5179 5189
    • (2014) Hum Brain Mapp , vol.35 , pp. 5179-5189
    • Johnston, B.A.1    Mwangi, B.2    Matthews, K.3    Coghill, D.4    Konrad, K.5    Steele, J.D.6
  • 33
    • 84911468280 scopus 로고    scopus 로고
    • Cortico-limbic network abnormalities in individuals with current and past major depressive disorder
    • P. Klauser, A. Fornito, V. Lorenzetti, C.G. Davey, D.B. Dwyer, N.B. Allen, and et al. Cortico-limbic network abnormalities in individuals with current and past major depressive disorder J Affect Disord 173 2015 45 52
    • (2015) J Affect Disord , vol.173 , pp. 45-52
    • Klauser, P.1    Fornito, A.2    Lorenzetti, V.3    Davey, C.G.4    Dwyer, D.B.5    Allen, N.B.6
  • 34
    • 84891532340 scopus 로고    scopus 로고
    • Validity of modulation and optimal settings for advanced voxel-based morphometry
    • J. Radua, E.J. Canales-Rodríguez, E. Pomarol-Clotet, and R. Salvador Validity of modulation and optimal settings for advanced voxel-based morphometry Neuroimage 86 2014 81 90
    • (2014) Neuroimage , vol.86 , pp. 81-90
    • Radua, J.1    Canales-Rodríguez, E.J.2    Pomarol-Clotet, E.3    Salvador, R.4
  • 35
    • 0001224048 scopus 로고    scopus 로고
    • Sparse Bayesian learning and the relevance vector machine
    • M.E. Tipping Sparse Bayesian learning and the relevance vector machine J Mach Learn Res 1 2001 211 244
    • (2001) J Mach Learn Res , vol.1 , pp. 211-244
    • Tipping, M.E.1
  • 36
    • 79955041471 scopus 로고    scopus 로고
    • "Relevance vector machine" consciousness classifier applied to cerebral metabolism of vegetative and locked-in patients
    • C.L. Phillips, M.-A. Bruno, P. Maquet, M. Boly, Q. Noirhomme, C. Schnakers, and et al. "Relevance vector machine" consciousness classifier applied to cerebral metabolism of vegetative and locked-in patients Neuroimage 56 2011 797 808
    • (2011) Neuroimage , vol.56 , pp. 797-808
    • Phillips, C.L.1    Bruno, M.-A.2    Maquet, P.3    Boly, M.4    Noirhomme, Q.5    Schnakers, C.6
  • 39
    • 35748934486 scopus 로고    scopus 로고
    • Setting the stage: From prodrome to treatment resistance in bipolar disorder
    • M. Berk, P. Conus, N. Lucas, K. Hallam, G.S. Malhi, S. Dodd, and et al. Setting the stage: From prodrome to treatment resistance in bipolar disorder Bipolar Disord 9 2007 671 678
    • (2007) Bipolar Disord , vol.9 , pp. 671-678
    • Berk, M.1    Conus, P.2    Lucas, N.3    Hallam, K.4    Malhi, G.S.5    Dodd, S.6
  • 40
    • 84875660261 scopus 로고    scopus 로고
    • Prediction of individual subject's age across the human lifespan using diffusion tensor imaging: A machine learning approach
    • B. Mwangi, K.M. Hasan, and J.C. Soares Prediction of individual subject's age across the human lifespan using diffusion tensor imaging: A machine learning approach Neuroimage 75 2013 58 67
    • (2013) Neuroimage , vol.75 , pp. 58-67
    • Mwangi, B.1    Hasan, K.M.2    Soares, J.C.3
  • 41
    • 84937974697 scopus 로고    scopus 로고
    • Exceeding chance level by chance: The caveat of theoretical chance levels in brain signal classification and statistical assessment of decoding accuracy
    • E. Combrisson, and K. Jerbi Exceeding chance level by chance: The caveat of theoretical chance levels in brain signal classification and statistical assessment of decoding accuracy J Neurosci Methods 250 2015 126 136
    • (2015) J Neurosci Methods , vol.250 , pp. 126-136
    • Combrisson, E.1    Jerbi, K.2
  • 42
    • 84876675969 scopus 로고    scopus 로고
    • Clinical application of brain imaging for the diagnosis of mood disorders: The current state of play
    • J. Savitz, S.L. Rauch, and W. Drevets Clinical application of brain imaging for the diagnosis of mood disorders: The current state of play Mol Psychiatry 18 2013 528 539
    • (2013) Mol Psychiatry , vol.18 , pp. 528-539
    • Savitz, J.1    Rauch, S.L.2    Drevets, W.3
  • 43
    • 84862776712 scopus 로고    scopus 로고
    • Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images
    • C. Chu, A.-L. Hsu, K.-H. Chou, P. Bandettini, C. Lin Alzheimer's Disease Neuroimaging Initiative Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images Neuroimage 60 2012 59 70
    • (2012) Neuroimage , vol.60 , pp. 59-70
    • Chu, C.1    Hsu, A.-L.2    Chou, K.-H.3    Bandettini, P.4    Lin, C.5
  • 44
    • 52049116700 scopus 로고    scopus 로고
    • Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns
    • F. De Martino, G. Valente, N. Staeren, J. Ashburner, R. Goebel, and E. Formisano Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns Neuroimage 43 2008 44 58
    • (2008) Neuroimage , vol.43 , pp. 44-58
    • De Martino, F.1    Valente, G.2    Staeren, N.3    Ashburner, J.4    Goebel, R.5    Formisano, E.6
  • 45
    • 84888840648 scopus 로고    scopus 로고
    • The utility of data-driven feature selection: Re: Chu et al. 2012
    • W.T. Kerr, P.K. Douglas, A. Anderson, and M.S. Cohen The utility of data-driven feature selection: Re: Chu et al. 2012 Neuroimage 84 2014 1107 1110
    • (2014) Neuroimage , vol.84 , pp. 1107-1110
    • Kerr, W.T.1    Douglas, P.K.2    Anderson, A.3    Cohen, M.S.4
  • 47
    • 84924284045 scopus 로고    scopus 로고
    • Prediction of pediatric unipolar depression using multiple neuromorphometric measurements: A pattern classification approach
    • M.-J. Wu, H.E. Wu, B. Mwangi, M. Sanches, S. Selvaraj, G.B. Zunta-Soares, and et al. Prediction of pediatric unipolar depression using multiple neuromorphometric measurements: A pattern classification approach J Psychiatr Res 62 2015 84 91
    • (2015) J Psychiatr Res , vol.62 , pp. 84-91
    • Wu, M.-J.1    Wu, H.E.2    Mwangi, B.3    Sanches, M.4    Selvaraj, S.5    Zunta-Soares, G.B.6
  • 48
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • I. Guyon, and A. Elisseeff An introduction to variable and feature selection J Mach Learn Res 3 2003 1157 1182
    • (2003) J Mach Learn Res , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 49
    • 35748932917 scopus 로고    scopus 로고
    • A review of feature selection techniques in bioinformatics
    • Y. Saeys, I. Inza, and P. Larrañaga A review of feature selection techniques in bioinformatics Bioinformatics 23 2007 2507 2517
    • (2007) Bioinformatics , vol.23 , pp. 2507-2517
    • Saeys, Y.1    Inza, I.2    Larrañaga, P.3
  • 50
    • 84970846412 scopus 로고
    • Statistics notes: Diagnostic tests 2: Predictive values
    • D.G. Altman, and J.M. Bland Statistics notes: Diagnostic tests 2: Predictive values Br Med J 309 1994 102
    • (1994) Br Med J , vol.309 , pp. 102
    • Altman, D.G.1    Bland, J.M.2
  • 51
    • 34248168760 scopus 로고    scopus 로고
    • Regional gray matter changes in bipolar disorder: A voxel-based morphometric study
    • X. Chen, W. Wen, G.S. Malhi, B. Ivanovski, and P.S. Sachdev Regional gray matter changes in bipolar disorder: A voxel-based morphometric study Aust N Z J Psychiatry 41 2007 327 336
    • (2007) Aust N Z J Psychiatry , vol.41 , pp. 327-336
    • Chen, X.1    Wen, W.2    Malhi, G.S.3    Ivanovski, B.4    Sachdev, P.S.5
  • 52
    • 64749098652 scopus 로고    scopus 로고
    • Regional brain gray matter abnormalities in patients with bipolar II disorder: A comparison study with bipolar i patients and healthy controls
    • T.H. Ha, K. Ha, J.H. Kim, and J.E. Choi Regional brain gray matter abnormalities in patients with bipolar II disorder: A comparison study with bipolar I patients and healthy controls Neurosci Lett 456 2009 44 48
    • (2009) Neurosci Lett , vol.456 , pp. 44-48
    • Ha, T.H.1    Ha, K.2    Kim, J.H.3    Choi, J.E.4
  • 53
    • 61449087491 scopus 로고    scopus 로고
    • Structural abnormalities of ventrolateral and orbitofrontal cortex in patients with familial bipolar disorder
    • A.C. Stanfield, T.W.J. Moorhead, D.E. Job, J. McKirdy, J.E. Sussmann, J. Hall, and et al. Structural abnormalities of ventrolateral and orbitofrontal cortex in patients with familial bipolar disorder Bipolar Disord 11 2009 135 144
    • (2009) Bipolar Disord , vol.11 , pp. 135-144
    • Stanfield, A.C.1    Moorhead, T.W.J.2    Job, D.E.3    McKirdy, J.4    Sussmann, J.E.5    Hall, J.6
  • 55
    • 84857367834 scopus 로고    scopus 로고
    • A morphometric, immunohistochemical, and in situ hybridization study of the dorsal raphe nucleus in major depression, bipolar disorder, schizophrenia, and suicide
    • P.R. Matthews, and P.J. Harrison A morphometric, immunohistochemical, and in situ hybridization study of the dorsal raphe nucleus in major depression, bipolar disorder, schizophrenia, and suicide J Affect Disord 137 2012 125 134
    • (2012) J Affect Disord , vol.137 , pp. 125-134
    • Matthews, P.R.1    Harrison, P.J.2
  • 58
    • 33846857304 scopus 로고    scopus 로고
    • Brain serotonin transporter binding in depressed patients with bipolar disorder using positron emission tomography
    • M.A. Oquendo, R.S. Hastings, Y.-Y. Huang, N. Simpson, R.T. Ogden, X.-Z. Hu, and et al. Brain serotonin transporter binding in depressed patients with bipolar disorder using positron emission tomography Arch Gen Psychiatry 64 2007 201 208
    • (2007) Arch Gen Psychiatry , vol.64 , pp. 201-208
    • Oquendo, M.A.1    Hastings, R.S.2    Huang, Y.-Y.3    Simpson, N.4    Ogden, R.T.5    Hu, X.-Z.6
  • 60
    • 53749100863 scopus 로고    scopus 로고
    • Meta-analysis of magnetic resonance imaging studies of the corpus callosum in bipolar disorder
    • D. Arnone, A. McIntosh, P. Chandra, and K. Ebmeier Meta-analysis of magnetic resonance imaging studies of the corpus callosum in bipolar disorder Acta Psychiatr Scand 118 2008 357 362
    • (2008) Acta Psychiatr Scand , vol.118 , pp. 357-362
    • Arnone, D.1    McIntosh, A.2    Chandra, P.3    Ebmeier, K.4
  • 61
    • 84872181981 scopus 로고    scopus 로고
    • Clinical staging in severe mental disorder: Evidence from neurocognition and neuroimaging
    • A. Lin, R.L. Reniers, and S.J. Wood Clinical staging in severe mental disorder: Evidence from neurocognition and neuroimaging Br J Psychiatry 202 2013 s11 s17
    • (2013) Br J Psychiatry , vol.202 , pp. s11-s17
    • Lin, A.1    Reniers, R.L.2    Wood, S.J.3
  • 62
  • 63
    • 78649938042 scopus 로고    scopus 로고
    • Pathways underlying neuroprogression in bipolar disorder: Focus on inflammation, oxidative stress and neurotrophic factors
    • M. Berk, F. Kapczinski, A. Andreazza, O. Dean, F. Giorlando, M. Maes, and et al. Pathways underlying neuroprogression in bipolar disorder: Focus on inflammation, oxidative stress and neurotrophic factors Neurosci Biobehav Rev 35 2011 804 817
    • (2011) Neurosci Biobehav Rev , vol.35 , pp. 804-817
    • Berk, M.1    Kapczinski, F.2    Andreazza, A.3    Dean, O.4    Giorlando, F.5    Maes, M.6
  • 64
    • 84925718653 scopus 로고    scopus 로고
    • Illness progression, recent stress, and morphometry of hippocampal subfields and medial prefrontal cortex in major depression
    • M.T. Treadway, M.L. Waskom, D.G. Dillon, A.J. Holmes, M.T.M. Park, M.M. Chakravarty, and et al. Illness progression, recent stress, and morphometry of hippocampal subfields and medial prefrontal cortex in major depression Biol Psychiatry 77 2015 285 294
    • (2015) Biol Psychiatry , vol.77 , pp. 285-294
    • Treadway, M.T.1    Waskom, M.L.2    Dillon, D.G.3    Holmes, A.J.4    Park, M.T.M.5    Chakravarty, M.M.6
  • 65
    • 84947736866 scopus 로고    scopus 로고
    • Manic episodes are related to changes in frontal cortex: A longitudinal neuroimaging study of bipolar disorder 1
    • C. Abé, C.J. Ekman, C. Sellgren, P. Petrovic, M. Ingvar, and M. Landén Manic episodes are related to changes in frontal cortex: A longitudinal neuroimaging study of bipolar disorder 1 Brain 138 pt 11 2015 3440 3448
    • (2015) Brain , vol.138 , pp. 3440-3448
    • Abé, C.1    Ekman, C.J.2    Sellgren, C.3    Petrovic, P.4    Ingvar, M.5    Landén, M.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.