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Volumn 38, Issue 6, 2012, Pages 1234-1246

Disease prediction in the at-risk mental state for psychosis using neuroanatomical biomarkers: Results from the fepsy study

Author keywords

biomarkers; early recognition; machine learning; magnetic resonance imaging; psychosis

Indexed keywords

BIOLOGICAL MARKER;

EID: 84869050026     PISSN: 05867614     EISSN: 17451701     Source Type: Journal    
DOI: 10.1093/schbul/sbr145     Document Type: Article
Times cited : (126)

References (41)
  • 1
    • 26444464824 scopus 로고    scopus 로고
    • Relationship between duration of untreated psy-chosis and outcome in first-episode schizophrenia: A critical review and metaanalysis
    • Perkins DO, Gu H, Boteva K, Lieberman JA. Relationship between duration of untreated psy-chosis and outcome in first-episode schizophrenia: a critical review and metaanalysis. Am J Psychiatry. 2005;162:1785-1804.
    • (2005) Am J Psychiatry. , vol.162 , pp. 1785-1804
    • Perkins, D.O.1    Gu, H.2    Boteva, K.3    Lieberman, J.A.4
  • 2
    • 76149102249 scopus 로고    scopus 로고
    • Longchain omega-3 fatty acids for indicated prevention of psychotic disorders: A randomized, placebo-controlled trial
    • Amminger GP, Schafer MR, Papageorgiou K, et al. Longchain omega-3 fatty acids for indicated prevention of psychotic disorders: a randomized, placebo-controlled trial. Arch Gen Psychiatry. 2010;67:146-154.
    • (2010) Arch Gen Psychiatry. , vol.67 , pp. 146-154
    • Amminger, G.P.1    Schafer, M.R.2    Papageorgiou, K.3
  • 3
    • 37249047375 scopus 로고    scopus 로고
    • Aripiprazole in the treatment of the psychosis prodrome: An open-label pilot study
    • Woods SW, Tully EM, Walsh BC, et al. Aripiprazole in the treatment of the psychosis prodrome: an open-label pilot study. Br J Psychiatry Suppl. 2007;51:s96-s101.
    • (2007) Br J Psychiatry Suppl. , vol.51
    • Woods, S.W.1    Tully, E.M.2    Walsh, B.C.3
  • 4
    • 34848918455 scopus 로고    scopus 로고
    • Medium term follow-up of a randomized controlled trial of interventions for young people at ultra high risk of psychosis
    • Phillips LJ, McGorry PD, Yuen HP, et al. Medium term follow-up of a randomized controlled trial of interventions for young people at ultra high risk of psychosis. Schizophr Res. 2007;96:25-33.
    • (2007) Schizophr Res. , vol.96 , pp. 25-33
    • Phillips, L.J.1    McGorry, P.D.2    Yuen, H.P.3
  • 5
    • 38049108277 scopus 로고    scopus 로고
    • Prediction of psychosis in youth at high clinical risk: A multisite longitudinal study in North America
    • Cannon TD, Cadenhead K, Cornblatt B, et al. Prediction of psychosis in youth at high clinical risk: a multisite longitudinal study in North America. Arch Gen Psychiatry. 2008; 65:28-37.
    • (2008) Arch Gen Psychiatry. , vol.65 , pp. 28-37
    • Cannon, T.D.1    Cadenhead, K.2    Cornblatt, B.3
  • 6
    • 70350719233 scopus 로고    scopus 로고
    • Efficacy of using cognitive status in predicting psychosis: A 7-year follow-up
    • Riecher-Ro ssler A, Pflueger MO, Aston J, et al. Efficacy of using cognitive status in predicting psychosis: a 7-year follow-up. Biol Psychiatry. 2009;66:1023-1030.
    • (2009) Biol Psychiatry. , vol.66 , pp. 1023-1030
    • Riecher-Ro Ssler, A.1    Pflueger, M.O.2    Aston, J.3
  • 7
    • 77953316957 scopus 로고    scopus 로고
    • Neuropsychology of the prodrome to psychosis in the NAPLS consortium: Relationship to family history and conversion to psychosis
    • Seidman LJ, Giuliano AJ, Meyer EC, et al. Neuropsychology of the prodrome to psychosis in the NAPLS consortium: relationship to family history and conversion to psychosis. Arch Gen Psychiatry. 2010;67:578-588.
    • (2010) Arch Gen Psychiatry. , vol.67 , pp. 578-588
    • Seidman, L.J.1    Giuliano, A.J.2    Meyer, E.C.3
  • 8
    • 77649201030 scopus 로고    scopus 로고
    • Prediction of psychosis in adolescents and young adults at high risk: Results from the prospective European prediction of psychosis study
    • Ruhrmann S, Schultze-Lutter F, Salokangas RKR, et al. Prediction of psychosis in adolescents and young adults at high risk: results from the prospective European prediction of psychosis study. Arch Gen Psychiatry. 2010;67:241-251.
    • (2010) Arch Gen Psychiatry. , vol.67 , pp. 241-251
    • Ruhrmann, S.1    Schultze-Lutter, F.2    Salokangas, R.K.R.3
  • 9
    • 30344459999 scopus 로고    scopus 로고
    • Risk and protection in prodromal schizophrenia: Ethical implications for clinical practice and future research
    • Haroun N, Dunn L, Haroun A, Cadenhead KS. Risk and protection in prodromal schizophrenia: ethical implications for clinical practice and future research. Schizophr Bull. 2006;32:166-178.
    • (2006) Schizophr Bull. , vol.32 , pp. 166-178
    • Haroun, N.1    Dunn, L.2    Haroun, A.3    Cadenhead, K.S.4
  • 10
    • 4944265571 scopus 로고    scopus 로고
    • Prevalence and correlates of self-reported psychotic symptoms in the British population
    • Johns LC, Cannon M, Singleton N, et al. Prevalence and correlates of self-reported psychotic symptoms in the British population. Br J Psychiatry. 2004;185:298-305.
    • (2004) Br J Psychiatry. , vol.185 , pp. 298-305
    • Johns, L.C.1    Cannon, M.2    Singleton, N.3
  • 12
    • 77449098568 scopus 로고    scopus 로고
    • Applications of multivariate pattern classification analyses in develop-mental neuroimaging of healthy and clinical populations
    • Bray S, Chang C, Hoeft F. Applications of multivariate pattern classification analyses in develop-mental neuroimaging of healthy and clinical populations. Front Hum Neurosci. 2009;3:32.
    • (2009) Front Hum Neurosci. , vol.3 , pp. 32
    • Bray, S.1    Chang, C.2    Hoeft, F.3
  • 13
    • 67650457029 scopus 로고    scopus 로고
    • Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition
    • Koutsouleris N, Meisenzahl EM, Davatzikos C, et al. Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition. Arch Gen Psychiatry. 2009;66:700-712.
    • (2009) Arch Gen Psychiatry. , vol.66 , pp. 700-712
    • Koutsouleris, N.1    Meisenzahl, E.M.2    Davatzikos, C.3
  • 14
    • 33846295183 scopus 로고    scopus 로고
    • The Basel early-detection-of-psychosis (FEPSY)-study-design and preliminary results
    • Riecher-Ro ssler A, Gschwandtner U, Aston J, et al. The Basel early-detection-of-psychosis (FEPSY)-study-design and preliminary results. Acta Psychiatr Scand. 2007;115: 114-125.
    • (2007) Acta Psychiatr Scand. , vol.115 , pp. 114-125
    • Riecher-Ro Ssler, A.1    Gschwandtner, U.2    Aston, J.3
  • 15
    • 45149090851 scopus 로고    scopus 로고
    • The Basel Screening Instrument for Psychosis (BSIP): Development, structure, reliability and validity
    • Riecher-Ro ssler A, Aston J, Ventura J, et al. [The Basel Screening Instrument for Psychosis (BSIP): development, structure, reliability and validity]. Fortschr Neurol Psychiatr. 2008;76:207-216.
    • (2008) Fortschr Neurol Psychiatr. , vol.76 , pp. 207-216
    • Riecher-Ro Ssler, A.1    Aston, J.2    Ventura, J.3
  • 17
    • 85044531680 scopus 로고    scopus 로고
    • Prediction of psychosis. A step towards indicated prevention of schizophrenia
    • Yung AR, Phillips LJ, McGorry PD, et al. Prediction of psychosis. A step towards indicated prevention of schizophrenia. Br J Psychiatry Suppl. 1998;172:14-20.
    • (1998) Br J Psychiatry Suppl. , vol.172 , pp. 14-20
    • Yung, A.R.1    Phillips, L.J.2    McGorry, P.D.3
  • 18
    • 77949913128 scopus 로고    scopus 로고
    • Neuroimaging predictors of transition to psychosis-A systematic review and meta-analysis
    • Smieskova R, Fusar-Poli P, Allen P, et al. Neuroimaging predictors of transition to psychosis-a systematic review and meta-analysis. Neurosci Biobehav Rev. 2010;34:1207-1222.
    • (2010) Neurosci Biobehav Rev. , vol.34 , pp. 1207-1222
    • Smieskova, R.1    Fusar-Poli, P.2    Allen, P.3
  • 19
    • 0037229905 scopus 로고    scopus 로고
    • Very high-resolution morphometry using mass-preserving deformations and HAMMER elastic registration
    • Shen D, Davatzikos C. Very high-resolution morphometry using mass-preserving deformations and HAMMER elastic registration. Neuroimage. 2003;18:28-41.
    • (2003) Neuroimage. , vol.18 , pp. 28-41
    • Shen, D.1    Davatzikos, C.2
  • 20
    • 77955397866 scopus 로고    scopus 로고
    • Local learning based feature selection for high dimensional data analysis
    • Sun Y, Todorovic S, Goodison S. Local learning based feature selection for high dimensional data analysis. IEEE Trans Pattern Anal Mach Intell. 2010;32:1610-1626.
    • (2010) IEEE Trans Pattern Anal Mach Intell. , vol.32 , pp. 1610-1626
    • Sun, Y.1    Todorovic, S.2    Goodison, S.3
  • 22
    • 84869056209 scopus 로고    scopus 로고
    • Prediction in the at-risk mental states for psychosis using neurocognitive pattern classification
    • doi: 10.1093/ schbul/sbr037
    • Koutsouleris N, Davatzikos C, Bottlender R, et al. Prediction in the at-risk mental states for psychosis using neurocognitive pattern classification. Schizophr Bull. 2011; doi:10.1093/ schbul/sbr037.
    • (2011) Schizophr Bull.
    • Koutsouleris, N.1    Davatzikos, C.2    Bottlender, R.3
  • 23
    • 0036322886 scopus 로고    scopus 로고
    • Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain
    • Tzourio-Mazoyer N, Landeau B, Papathanassiou D, et al. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage. 2002;15:273-289.
    • (2002) Neuroimage. , vol.15 , pp. 273-289
    • Tzourio-Mazoyer, N.1    Landeau, B.2    Papathanassiou, D.3
  • 24
    • 44249088535 scopus 로고    scopus 로고
    • Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study
    • Fan Y, Resnick SM, Wu X, Davatzikos C. Structural and functional biomarkers of prodromal Alzheimer's disease: a high-dimensional pattern classification study. Neuroimage. 2008;41:277-285.
    • (2008) Neuroimage. , vol.41 , pp. 277-285
    • Fan, Y.1    Resnick, S.M.2    Wu, X.3    Davatzikos, C.4
  • 25
    • 70350702671 scopus 로고    scopus 로고
    • Elucidating a magnetic resonance imaging-based neuroanatomic biomarker for psychosis: Classification analysis using probabilistic brain atlas and machine learning algorithms
    • Sun D, van Erp TGM, Thompson PM, et al. Elucidating a magnetic resonance imaging-based neuroanatomic biomarker for psychosis: classification analysis using probabilistic brain atlas and machine learning algorithms. Biol Psychiatry. 2009;66:1055-1060.
    • (2009) Biol Psychiatry. , vol.66 , pp. 1055-1060
    • Sun, D.1    Van Erp, T.G.M.2    Thompson, P.M.3
  • 27
    • 79952708926 scopus 로고    scopus 로고
    • Prognostic prediction of therapeutic response in depression using high-field MR imaging
    • Gong Q, Wu Q, Scarpazza C, et al. Prognostic prediction of therapeutic response in depression using high-field MR imaging. Neuroimage. 2011;55:1497-1503.
    • (2011) Neuroimage. , vol.55 , pp. 1497-1503
    • Gong, Q.1    Wu, Q.2    Scarpazza, C.3
  • 29
    • 4344667151 scopus 로고    scopus 로고
    • Why voxel-based morphometric analysis should be used with great caution when characterizing group differences
    • Davatzikos C. Why voxel-based morphometric analysis should be used with great caution when characterizing group differences. Neuroimage. 2004;23:17-20.
    • (2004) Neuroimage. , vol.23 , pp. 17-20
    • Davatzikos, C.1
  • 30
    • 79952536719 scopus 로고    scopus 로고
    • Neuroanatomy of vulnerability to psychosis: A voxel-based meta-analysis
    • Fusar-Poli P, Borgwardt S, Crescini A, et al. Neuroanatomy of vulnerability to psychosis: a voxel-based meta-analysis. Neurosci Biobehav Rev. 2011;35:1175-1185.
    • (2011) Neurosci Biobehav Rev. , vol.35 , pp. 1175-1185
    • Fusar-Poli, P.1    Borgwardt, S.2    Crescini, A.3
  • 31
    • 28444491442 scopus 로고    scopus 로고
    • Regional deficits in brain volume in schizophre-nia: A meta-analysis of voxel-based morphometry studies
    • Honea R, Crow TJ, Passingham D, Mackay CE. Regional deficits in brain volume in schizophre-nia: a meta-analysis of voxel-based morphometry studies. Am J Psychiatry. 2005;162:2233-2245.
    • (2005) Am J Psychiatry. , vol.162 , pp. 2233-2245
    • Honea, R.1    Crow, T.J.2    Passingham, D.3    MacKay, C.E.4
  • 32
    • 0033035208 scopus 로고    scopus 로고
    • Schizophrenia and the disconnection hypothesis
    • Friston KJ. Schizophrenia and the disconnection hypothesis. Acta Psychiatr Scand Suppl. 1999;395:68-79.
    • (1999) Acta Psychiatr Scand Suppl. , vol.395 , pp. 68-79
    • Friston, K.J.1
  • 33
    • 0037333669 scopus 로고    scopus 로고
    • Psychosis prediction: 12-month follow up of a high-risk (''prodromal'') group
    • Yung AR, Phillips LJ, Yuen HP, et al. Psychosis prediction: 12-month follow up of a high-risk (''prodromal'') group. Schizophr Res. 2003;60:21-32.
    • (2003) Schizophr Res. , vol.60 , pp. 21-32
    • Yung, A.R.1    Phillips, L.J.2    Yuen, H.P.3
  • 34
    • 0842291264 scopus 로고    scopus 로고
    • The transition from premorbid period to psychosis: How can it be described?
    • Larsen TK. The transition from premorbid period to psychosis: how can it be described? Acta Psychiatr Scand. 2002;106:10-11.
    • (2002) Acta Psychiatr Scand. , vol.106 , pp. 10-11
    • Larsen, T.K.1
  • 35
    • 70349123489 scopus 로고    scopus 로고
    • Neuroanatomical correlates of different vulnerability states of psychosis in relation to clinical outcome
    • KoutsoulerisN,SchmittG,Gaser C, et al.Neuroanatomical correlates of different vulnerability states of psychosis in relation to clinical outcome. Br J Psychiatry. 2009;195:218-226.
    • (2009) Br J Psychiatry. , vol.195 , pp. 218-226
    • Koutsouleris, N.1    Schmitt, G.2    Gaser, C.3
  • 36
    • 34548045766 scopus 로고    scopus 로고
    • Declining transition rate in ultra high risk (prodromal) services: Dilution or reduction of risk?
    • Yung AR, Yuen HP, Berger G, et al. Declining transition rate in ultra high risk (prodromal) services: dilution or reduction of risk? Schizophr Bull. 2007;33:673-681.
    • (2007) Schizophr Bull. , vol.33 , pp. 673-681
    • Yung, A.R.1    Yuen, H.P.2    Berger, G.3
  • 37
    • 33646094195 scopus 로고    scopus 로고
    • Generalized and specific neurocognitive deficits in prodromal schizophrenia
    • Lencz T, Smith CW, McLaughlin D, et al. Generalized and specific neurocognitive deficits in prodromal schizophrenia. Biol Psychiatry. 2006;59:863-871.
    • (2006) Biol Psychiatry. , vol.59 , pp. 863-871
    • Lencz, T.1    Smith, C.W.2    McLaughlin, D.3
  • 38
    • 79952369399 scopus 로고    scopus 로고
    • Do we have any solid evidence of clinical utility about the pathophysiology of schizophrenia?
    • Lawrie SM, Olabi B, Hall J, McIntosh AM. Do we have any solid evidence of clinical utility about the pathophysiology of schizophrenia? World Psychiatry. 2011;10:19-31.
    • (2011) World Psychiatry. , vol.10 , pp. 19-31
    • Lawrie, S.M.1    Olabi, B.2    Hall, J.3    McIntosh, A.M.4
  • 39
    • 77954216616 scopus 로고    scopus 로고
    • Probably at-risk, but certainly ill-advocating the introduction of a psychosis spectrum disorder in DSM-V
    • Ruhrmann S, Schultze-Lutter F, Klosterko tter J. Probably at-risk, but certainly ill-advocating the introduction of a psychosis spectrum disorder in DSM-V. Schizophr Res. 2010;120:23-37.
    • (2010) Schizophr Res. , vol.120 , pp. 23-37
    • Ruhrmann, S.1    Schultze-Lutter, F.2    Klosterko Tter, J.3
  • 40
    • 77954141787 scopus 로고    scopus 로고
    • Risk syndromes, clinical staging and DSM V: New diagnostic infrastructure for early intervention in psychiatry
    • McGorry PD. Risk syndromes, clinical staging and DSM V: new diagnostic infrastructure for early intervention in psychiatry. Schizophr Res. 2010;120:49-53.
    • (2010) Schizophr Res. , vol.120 , pp. 49-53
    • McGorry, P.D.1
  • 41
    • 84855187358 scopus 로고    scopus 로고
    • Substance use and regional gray matter volume in individuals at high risk of psychosis
    • doi: 10.1016/j.euroneuro.2011.06.004
    • Stone J, Bhattacharyya S, Barker G, McGuire P. Substance use and regional gray matter volume in individuals at high risk of psychosis. Eur Neuropsychopharmacol. 2011; doi:10.1016/j.euroneuro.2011.06.004.
    • (2011) Eur Neuropsychopharmacol.
    • Stone, J.1    Bhattacharyya, S.2    Barker, G.3    McGuire, P.4


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