期刊论文详细信息
BMC Psychiatry
Frontal lobe changes occur early in the course of affective disorders in young people
Ian B Hickie1  Elizabeth M Scott1  Sharon L Naismith1  Daniel F Hermens1  Jim Lagopoulos1 
[1] Clinical Research Unit, Brain and Mind Research Institute, University of Sydney, Australia
关键词: MRI;    depression;    bipolar disorder;    psychosis;    clinical staging;    VBM;   
Others  :  1124427
DOI  :  10.1186/1471-244X-12-4
 received in 2011-10-26, accepted in 2012-01-20,  发布年份 2012
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【 摘 要 】

Background

More severe and persistent forms of affective disorders are accompanied by grey matter loss in key frontal and temporal structures. It is unclear whether such changes precede the onset of illness, occur early in the course or develop gradually with persistence or recurrence of illness. A total of 47 young people presenting with admixtures of depressive and psychotic symptoms were recruited from specialist early intervention services along with 33 age matched healthy control subjects. All participants underwent magnetic resonance imaging and patients were rated clinically as to current stage of illness. Twenty-three patients were identified as being at an early 'attenuated syndrome' stage, while the remaining were rated as having already reached the 'discrete disorder' or 'persistent or recurrent illness' stage. Contrasts were carried out between controls subjects and patients cohorts with attenuated syndromes and discrete disorders, separately.

Results

The patients that were identified as having a discrete or persisting disorder demonstrated decreased grey matter volumes within distributed frontal brain regions when contrasted to both the control subjects as well as those patients in the attenuated syndrome stage. Overall, patients who were diagnosed as more advanced in terms of the clinical stage of their illness, exhibited the greatest grey matter volume loss of all groups.

Conclusions

This study suggests that, in terms of frontal grey matter changes, a major transition point may occur in the course of affective illness between early attenuated syndromes and later discrete illness stages.

【 授权许可】

   
2012 Lagopoulos et al; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]Bora E, Fornito A, Pantelis C, Yucel M: Gray matter abnormalities in Major Depressive Disorder: A meta-analysis of voxel based morphometry studies. J Affect Disord 2011.
  • [2]Pantelis C, Velakoulis D, McGorry PD, Wood SJ, Suckling J, Phillips LJ, Yung AR, Bullmore ET, Brewer W, Soulsby B, et al.: Neuroanatomical abnormalities before and after onset of psychosis: a cross-sectional and longitudinal MRI comparison. Lancet 2003, 361:281-288.
  • [3]Salvadore G, Nugent AC, Lemaitre H, Luckenbaugh DA, Tinsley R, Cannon DM, Neumeister A, Zarate CA Jr, Drevets WC: Prefrontal cortical abnormalities in currently depressed versus currently remitted patients with major depressive disorder. Neuroimage 2011, 54:2643-2651.
  • [4]Lagopoulos J, Malhi G: Impairments in "top-down" processing in bipolar disorder: a simultaneous fMRI-GSR study. Psychiatry Res 2011, 192:100-108.
  • [5]Hickie I, Naismith S, Ward PB, Turner K, Scott E, Mitchell P, Wilhelm K, Parker G: Reduced hippocampal volumes and memory loss in patients with early- and late-onset depression. Br J Psychiatry 2005, 186:197-202.
  • [6]MacQueen GM, Campbell S, McEwen BS, Macdonald K, Amano S, Joffe RT, Nahmias C, Young LT: Course of illness, hippocampal function, and hippocampal volume in major depression. Proc Natl Acad Sci USA 2003, 100:1387-1392.
  • [7]Campbell S, Marriott M, Nahmias C, MacQueen GM: Lower hippocampal volume in patients suffering from depression: a meta-analysis. Am J Psychiatry 2004, 161:598-607.
  • [8]Bora E, Fornito A, Radua J, Walterfang M, Seal M, Wood SJ, Yucel M, Velakoulis D, Pantelis C: Neuroanatomical abnormalities in schizophrenia: a multimodal voxelwise meta-analysis and meta-regression analysis. Schizophr Res 2011, 127:46-57.
  • [9]Insel TR: Translating scientific opportunity into public health impact: a strategic plan for research on mental illness. Arch Gen Psychiatry 2009, 66:128-133.
  • [10]Insel TR: The arrival of preemptive psychiatry. Early Intervention in Psychiatry 2007, 1:5-6.
  • [11]McGorry PD, Purcell R, Hickie IB, Yung AR, Pantelis C, Jackson HJ: Clinical staging: a heuristic model for psychiatry and youth mental health. Med J Aust 2007, 187:S40.
  • [12]Hickie IB: Youth mental health: we know where we are and we can now say where we need to go next. Early Intervention in Psychiatry 2011, 5:63-69.
  • [13]McGorry PD, Hickie IB, Yung AR, Pantelis C, Jackson HJ: Clinical staging of psychiatric disorders: a heuristic framework for choosing earlier, safer and more effective interventions. Aust N Z J Psychiatry 2006, 40:616-622.
  • [14]Hickie IB, McGorry PD: Characterising novel pathways to schizophrenia. Med J Aust 2009, 190:S5-6.
  • [15]McGorry PD, Tanti C, Stokes R, Hickie IB, Carnell K, Littlefield LK, Moran J: headspace: Australia's National Youth Mental Health Foundation--where young minds come first. Med J Aust 2007, 187:S68-70.
  • [16]Borgwardt SJ, McGuire PK, Aston J, Gschwandtner U, Pfluger MO, Stieglitz RD, Radue EW, Riecher-Rossler A: Reductions in frontal, temporal and parietal volume associated with the onset of psychosis. Schizophr Res 2008, 106:108-114.
  • [17]Lawrie SM, Whalley HC, Abukmeil SS, Kestelman JN, Miller P, Best JJ, Owens DG, Johnstone EC: Temporal lobe volume changes in people at high risk of schizophrenia with psychotic symptoms. Br J Psychiatry 2002, 181:138-143.
  • [18]Job DE, Whalley HC, Johnstone EC, Lawrie SM: Grey matter changes over time in high risk subjects developing schizophrenia. Neuroimage 2005, 25:1023-1030.
  • [19]Hickie IB: Youth mental health: we know where we are and we can now say where we need to go next. Early Interv Psychiatry 2011, 5(Suppl 1):63-69.
  • [20]Fusar-Poli P, Borgwardt S, Crescini A, Deste G, Kempton MJ, Lawrie S, Mc Guire P, Sacchetti E: Neuroanatomy of vulnerability to psychosis: a voxel-based meta-analysis. Neurosci Biobehav Rev 2011, 35:1175-1185.
  • [21]Lagopoulos J, Malhi GS: A functional magnetic resonance imaging study of emotional Stroop in euthymic bipolar disorder. Neuroreport 2007, 18:1583-1587.
  • [22]Lagopoulos J, Ivanovski B, Malhi GS: An event-related functional MRI study of working memory in euthymic bipolar disorder. J Psychiatry Neurosci 2007, 32:174-184.
  • [23]Carballedo A, Scheuerecker J, Meisenzahl E, Schoepf V, Bokde A, Moller HJ, Doyle M, Wiesmann M, Frodl T: Functional connectivity of emotional processing in depression. J Affect Disord 2011.
  • [24]Scott E, Naismith SL, Whitwell BG, Hamilton B, Chudleigh C, Hickie IB: Delivering youth-specific mental health services: the advantages of a collaborative, multi-disciplinary system. Australas 2009, 17:189-194.
  • [25]Scott E, Hermens D, Glozier N, Naismith S, Guastella A, Hickie I: Targeted primary care-based mental health services engage young Australians in treatment. Medical Journal of Australia 2011, in press.
  • [26]Hermens DF, Redoblado Hodge MA, Naismith SL, Kaur M, Scott E, Hickie IB: Neuropsychological clustering highlights cognitive differences in young people presenting with depressive symptoms. J Int Neuropsychol Soc 2011, 17:267-276.
  • [27]Hermens DF, Naismith SL, Redoblado Hodge MA, Scott EM, Hickie IB: Impaired verbal memory in young adults with unipolar and bipolar depression. Early Interv Psychiatry 2010, 4:227-233.
  • [28]Hamilton BA, Naismith SL, Scott EM, Purcell S, Hickie IB: Disability is already pronounced in young people with early stages of affective disorders: data from an early intervention service. J Affect Disord 2011, 131:84-91.
  • [29]Smith SM: Fast robust automated brain extraction. Hum Brain Mapp 2002, 17:143-155.
  • [30]Zhang Y, Brady M, Smith S: Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. Medical Imaging, IEEE Transactions on 2001, 20:45-57.
  • [31]Jenkinson M, Smith S: A global optimisation method for robust affine registration of brain images. Medical Image Analysis 2001, 5:143-156.
  • [32]Jenkinson M, Bannister P, Brady M, Smith S: Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images. Neuroimage 2002, 17:825-841.
  • [33]Non-linear optimisation. FMRIB technical report TR07JA1 [http://www. fmrib.ox.ac.uk/analysis/techrep] webcite
  • [34]Non-linear registration, aka spatial normalisation. FMRIB technical report TR07JA2 [http://www. fmrib.ox.ac.uk/analysis/techrep] webcite
  • [35]Rueckert D, Sonoda LI, Hayes C, Hill DLG, Leach MO, Hawkes DJ: Nonrigid registration using free-form deformations: application to breast MR images. Medical Imaging, IEEE Transactions on 1999, 18:712-721.
  • [36]Nichols TE, Holmes AP: Nonparametric permutation tests for functional neuroimaging: A primer with examples. Hum Brain Mapp 2002, 15:1-25.
  • [37]Nichols T, Hayasaka S: Controlling the familywise error rate in functional neuroimaging: a comparative review. Statistical Methods in Medical Research 2003, 12:419-446.
  • [38]Smith SM, Nichols TE: Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage 2009, 44:83-98.
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