Hostname: page-component-586b7cd67f-t7czq Total loading time: 0 Render date: 2024-11-25T06:12:44.940Z Has data issue: false hasContentIssue false

Interplay of hippocampal volume and hypothalamus-pituitary-adrenal axis function as markers of stress vulnerability in men at ultra-high risk for psychosis

Published online by Cambridge University Press:  24 October 2016

M. Pruessner*
Affiliation:
Department of Psychiatry, Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, McGill University, Montréal, Québec, Canada
L. Bechard-Evans
Affiliation:
Department of Psychiatry, Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, McGill University, Montréal, Québec, Canada
S. Pira
Affiliation:
Department of Psychiatry, Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, McGill University, Montréal, Québec, Canada
R. Joober
Affiliation:
Department of Psychiatry, Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, McGill University, Montréal, Québec, Canada
D. L. Collins
Affiliation:
Departments of Neurology & Neurosurgery, and Biomedical Engineering, Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montréal, Québec, Canada
J. C. Pruessner
Affiliation:
Departments of Psychiatry, and Psychology, McGill Centre for Studies in Aging, Douglas Mental Health University Institute, McGill University, Montréal, Québec, Canada
A. K. Malla
Affiliation:
Department of Psychiatry, Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, McGill University, Montréal, Québec, Canada
*
*Address for correspondence: M. Pruessner, PhD, Department of Psychiatry, Prevention and Early Intervention Program for Psychoses, Douglas Mental Health University Institute, Wilson Pavilion, 6875 Boulevard La Salle, Montréal, Québec, CanadaH4H 1R3. (Email: [email protected])

Abstract

Background

Altered hypothalamus-pituitary-adrenal (HPA) axis function and reduced hippocampal volume (HV) are established correlates of stress vulnerability. We have previously shown an attenuated cortisol awakening response (CAR) and associations with HV specifically in male first-episode psychosis patients. Findings in individuals at ultra-high risk (UHR) for psychosis regarding these neurobiological markers are inconsistent, and assessment of their interplay, accounting for sex differences, could explain incongruent results.

Method

Study participants were 42 antipsychotic-naive UHR subjects (24 men) and 46 healthy community controls (23 men). Saliva samples for the assessment of CAR were collected at 0, 30 and 60 min after awakening. HV was determined from high-resolution structural magnetic resonance imaging scans using a semi-automatic segmentation protocol.

Results

Cortisol measures and HV were not significantly different between UHR subjects and controls in total, but repeated-measures multivariate regression analyses revealed reduced cortisol levels 60 min after awakening and smaller left HV in male UHR individuals. In UHR participants only, smaller left and right HV was significantly correlated with a smaller total CAR (ρ = 0.42, p = 0.036 and ρ = 0.44, p = 0.029, respectively), corresponding to 18% and 19% of shared variance (medium effect size).

Conclusions

Our findings suggest that HV reduction in individuals at UHR for psychosis is specific to men and linked to reduced post-awakening cortisol concentrations. Abnormalities in the neuroendocrine circuitry modulating stress vulnerability specifically in male UHR subjects might explain increased psychosis risk and disadvantageous illness outcomes in men compared to women.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abbs, B, Liang, L, Makris, N, Tsuang, M, Seidman, LJ, Goldstein, JM (2011). Covariance modeling of MRI brain volumes in memory circuitry in schizophrenia: sex differences are critical. Neuroimage 56, 18651874.Google Scholar
Addington, J, Cornblatt, BA, Cadenhead, KS, Cannon, TD, McGlashan, TH, Perkins, DO, Seidman, LJ, Tsuang, MT, Walker, EF, Woods, SW, Heinssen, R (2011). At clinical high risk for psychosis: outcome for nonconverters. American Journal of Psychiatry 168, 800805.Google Scholar
Adriano, F, Caltagirone, C, Spalletta, G (2012). Hippocampal volume reduction in first-episode and chronic schizophrenia: a review and meta-analysis. Neuroscientist 18, 180200.CrossRefGoogle ScholarPubMed
Aleman, A, Kahn, RS, Selten, JP (2003). Sex differences in the risk of schizophrenia: evidence from meta-analysis. Archives of General Psychiatry 60, 565571.Google Scholar
Angermeyer, MC, Kuhn, L (1988). Gender differences in age at onset of schizophrenia. An overview. European Archives of Psychiatry and Neurological Sciences 237, 351364.Google Scholar
Bodnar, M, Malla, AK, Czechowska, Y, Benoit, A, Fathalli, F, Joober, R, Pruessner, M, Pruessner, J, Lepage, M (2010). Neural markers of remission in first-episode schizophrenia: a volumetric neuroimaging study of the hippocampus and amygdala. Schizophrenia Research 122, 7280.CrossRefGoogle ScholarPubMed
Bois, C, Levita, L, Ripp, I, Owens, DC, Johnstone, EC, Whalley, HC, Lawrie, SM (2016). Longitudinal changes in hippocampal volume in the Edinburgh High Risk Study of Schizophrenia. Schizophrenia Research 173, 146151.CrossRefGoogle ScholarPubMed
Bois, C, Levita, L, Ripp, I, Owens, DC, Johnstone, EC, Whalley, HC, Lawrie, SM (2015 a). Hippocampal, amygdala and nucleus accumbens volume in first-episode schizophrenia patients and individuals at high familial risk: a cross-sectional comparison. Schizophrenia Research 165, 4551.CrossRefGoogle Scholar
Bois, C, Whalley, HC, McIntosh, AM, Lawrie, SM (2015 b). Structural magnetic resonance imaging markers of susceptibility and transition to schizophrenia: a review of familial and clinical high risk population studies. Journal of Psychopharmacology 29, 144154.CrossRefGoogle ScholarPubMed
Bora, E, Fornito, A, Yucel, M, Pantelis, C (2012). The effects of gender on grey matter abnormalities in major psychoses: a comparative voxelwise meta-analysis of schizophrenia and bipolar disorder. Psychological Medicine 42, 295307.Google Scholar
Borgwardt, SJ, Riecher-Rossler, A, Dazzan, P, Chitnis, X, Aston, J, Drewe, M, Gschwandtner, U, Haller, S, Pfluger, M, Rechsteiner, E, D'Souza, M, Stieglitz, RD, Radu, EW, McGuire, PK (2007). Regional gray matter volume abnormalities in the at risk mental state. Biological Psychiatry 61, 11481156.CrossRefGoogle ScholarPubMed
Bremner, JD, Randall, P, Vermetten, E, Staib, L, Bronen, RA, Mazure, C, Capelli, S, McCarthy, G, Innis, RB, Charney, DS (1997). Magnetic resonance imaging-based measurement of hippocampal volume in posttraumatic stress disorder related to childhood physical and sexual abuse – a preliminary report. Biological Psychiatry 41, 2332.CrossRefGoogle ScholarPubMed
Buchanan, TW, Kern, S, Allen, JS, Tranel, D, Kirschbaum, C (2004). Circadian regulation of cortisol after hippocampal damage in humans. Biological Psychiatry 56, 651656.CrossRefGoogle ScholarPubMed
Buehlmann, E, Berger, GE, Aston, J, Gschwandtner, U, Pflueger, MO, Borgwardt, SJ, Radue, EW, Riecher-Rossler, A (2010). Hippocampus abnormalities in at risk mental states for psychosis? A cross-sectional high resolution region of interest magnetic resonance imaging study. Journal of Psychiatric Research 44, 447453.CrossRefGoogle ScholarPubMed
Cohen, J (1988). Statistical Power Analysis for the Behavioral Sciences. Lawrence Erlbaum: Hillsdale, NJ.Google Scholar
Cohen, S, Kamarck, T, Mermelstein, R (1983). A global measure of perceived stress. Journal of Health and Social Behavior 24, 385396.Google Scholar
Collins, DL, Neelin, P, Peters, TM, Evans, AC (1994). Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space. Journal of Computer Assisted Tomography 18, 192205.Google Scholar
Collip, D, Habets, P, Marcelis, M, Gronenschild, E, Lataster, T, Lardinois, M, Nicolson, NA, Myin-Germeys, I (2013). Hippocampal volume as marker of daily life stress sensitivity in psychosis. Psychological Medicine 43, 13771387.Google Scholar
Corcoran, C, Walker, E, Huot, R, Mittal, V, Tessner, K, Kestler, L, Malaspina, D (2003). The stress cascade and schizophrenia: etiology and onset. Schizophrenia Bulletin 29, 671692.Google Scholar
Corcoran, CM, Smith, C, McLaughlin, D, Auther, A, Malaspina, D, Cornblatt, B (2012). HPA axis function and symptoms in adolescents at clinical high risk for schizophrenia. Schizophrenia Research 135, 170174.CrossRefGoogle ScholarPubMed
Cullen, AE, De Brito, SA, Gregory, SL, Murray, RM, Williams, SC, Hodgins, S, Laurens, KR (2013). Temporal lobe volume abnormalities precede the prodrome: a study of children presenting antecedents of schizophrenia. Schizophrenia Bulletin 39, 13181327.Google Scholar
Day, FL, Valmaggia, LR, Mondelli, V, Papadopoulos, A, Papadopoulos, I, Pariante, CM, McGuire, P (2014). Blunted cortisol awakening response in people at ultra high risk of developing psychosis. Schizophrenia Research 158, 2531.Google Scholar
First, MB, Spitzer, RL, Gibbon, M, Williams, JBW (2002). Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Non-patient Edition. (SCID-I/NP). Biometrics Research, New York State Psychiatric Institute: New York.Google Scholar
Fries, E, Dettenborn, L, Kirschbaum, C (2009). The cortisol awakening response (CAR): facts and future directions. International Journal of Psychophysiology 72, 6773.CrossRefGoogle ScholarPubMed
Frodl, T, O'Keane, V (2013). How does the brain deal with cumulative stress? A review with focus on developmental stress, HPA axis function and hippocampal structure in humans. Neurobiological Disorders 52, 2437.Google Scholar
Fusar-Poli, P, Borgwardt, S, Crescini, A, Deste, G, Kempton, MJ, Lawrie, S, Mc Guire, P, Sacchetti, E (2011). Neuroanatomy of vulnerability to psychosis: a voxel-based meta-analysis. Neuroscience and Biobehavioral Reviews 35, 11751185.Google Scholar
Fusar-Poli, P, Cappucciati, M, Borgwardt, S, Woods, SW, Addington, J, Nelson, B, Nieman, DH, Stahl, DR, Rutigliano, G, Riecher-Rossler, A, Simon, AE, Mizuno, M, Lee, TY, Kwon, JS, Lam, MM, Perez, J, Keri, S, Amminger, P, Metzler, S, Kawohl, W, Rossler, W, Lee, J, Labad, J, Ziermans, T, An, SK, Liu, CC, Woodberry, KA, Braham, A, Corcoran, C, McGorry, P, Yung, AR, McGuire, PK (2016). Heterogeneity of psychosis risk within individuals at clinical high risk: a meta-analytical stratification. JAMA Psychiatry 73, 113120.CrossRefGoogle Scholar
Goldstein, JM, Seidman, LJ, O'Brien, LM, Horton, NJ, Kennedy, DN, Makris, N, Caviness, VS Jr., Faraone, SV, Tsuang, MT (2002). Impact of normal sexual dimorphisms on sex differences in structural brain abnormalities in schizophrenia assessed by magnetic resonance imaging. Archives of General Psychiatry 59, 154164.Google Scholar
Gunduz-Bruce, H, Szeszko, PR, Gueorguieva, R, Ashtari, M, Robinson, DG, Kane, JM, Bilder, RM (2007). Cortisol levels in relation to hippocampal sub-regions in subjects with first episode schizophrenia. Schizophrenia Research 94, 281287.CrossRefGoogle ScholarPubMed
Hoy, K, Barrett, S, Shannon, C, Campbell, C, Watson, D, Rushe, T, Shevlin, M, Bai, F, Cooper, S, Mulholland, C (2012). Childhood trauma and hippocampal and amygdalar volumes in first-episode psychosis. Schizophrenia Bulletin 38, 11621169.CrossRefGoogle ScholarPubMed
Hu, S, Coupe, P, Pruessner, JC, Collins, DL (2011). Appearance-based modeling for segmentation of hippocampus and amygdala using multi-contrast MR imaging. Neuroimage 58, 549559.Google Scholar
Jacobson, L, Sapolsky, R (1991). The role of the hippocampus in feedback regulation of the hypothalamic-pituitary-adrenocortical axis. Endocrine Reviews 12, 118134.CrossRefGoogle ScholarPubMed
Keshavan, MS, Dick, E, Mankowski, I, Harenski, K, Montrose, DM, Diwadkar, V, DeBellis, M (2002). Decreased left amygdala and hippocampal volumes in young offspring at risk for schizophrenia. Schizophrenia Research 58, 173183.Google Scholar
Klauser, P, Zhou, J, Lim, JK, Poh, JS, Zheng, H, Tng, HY, Krishnan, R, Lee, J, Keefe, RS, Adcock, RA, Wood, SJ, Fornito, A, Chee, MW (2015). Lack of evidence for regional brain volume or cortical thickness abnormalities in youths at clinical high risk for psychosis: findings from the longitudinal youth at risk study. Schizophrenia Bulletin 41, 12851293.Google Scholar
Kopelowicz, A, Ventura, J, Liberman, RP, Mintz, J (2008). Consistency of brief psychiatric rating scale factor structure across a broad spectrum of schizophrenia patients. Psychopathology 41, 7784.Google Scholar
Lawrie, SM, Whalley, HC, Abukmeil, SS, Kestelman, JN, Donnelly, L, Miller, P, Best, JJ, Owens, DG, Johnstone, EC (2001). Brain structure, genetic liability, and psychotic symptoms in subjects at high risk of developing schizophrenia. Biological Psychiatry 49, 811823.Google Scholar
Luborsky, L (1962). Clinician's judgments of mental health. Archives of General Psychiatry 7, 407417.Google Scholar
Lukoff, D, Nuechterlein, KH, Ventura, J (1986). Manual for the expanded brief psychiatric rating scale. Schizophrenia Bulletin 12, 594602.Google Scholar
Malchow, B, Hasan, A, Fusar-Poli, P, Schmitt, A, Falkai, P, Wobrock, T (2013). Cannabis abuse and brain morphology in schizophrenia: a review of the available evidence. European Archives of Psychiatry and Clinical Neuroscience 263, 313.Google Scholar
Mathew, I, Gardin, TM, Tandon, N, Eack, S, Francis, AN, Seidman, LJ, Clementz, B, Pearlson, GD, Sweeney, JA, Tamminga, CA, Keshavan, MS (2014). Medial temporal lobe structures and hippocampal subfields in psychotic disorders: findings from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) study. JAMA Psychiatry 71, 769777.CrossRefGoogle ScholarPubMed
Mazziotta, JC, Toga, AW, Evans, A, Fox, P, Lancaster, J (1995). A probabilistic atlas of the human brain: theory and rationale for its development. The International Consortium for Brain Mapping (ICBM). Neuroimage 2, 89101.Google Scholar
McEwen, BS, Gianaros, PJ (2010). Central role of the brain in stress and adaptation: links to socioeconomic status, health, and disease. Annals of the New York Academy of Sciences 1186, 190222.CrossRefGoogle ScholarPubMed
McGrath, J, Saha, S, Welham, J, El Saadi, O, MacCauley, C, Chant, D (2004). A systematic review of the incidence of schizophrenia: the distribution of rates and the influence of sex, urbanicity, migrant status and methodology. BMC Medicine 2, 13.Google Scholar
Meisenzahl, EM, Koutsouleris, N, Gaser, C, Bottlender, R, Schmitt, GJ, McGuire, P, Decker, P, Burgermeister, B, Born, C, Reiser, M, Moller, HJ (2008). Structural brain alterations in subjects at high-risk of psychosis: a voxel-based morphometric study. Schizophrenica Research 102, 150162.Google Scholar
Mittal, VA, Orr, JM, Pelletier, A, Dean, DJ, Smith, A, Lunsford-Avery, J (2013). Hypothalamic-pituitary-adrenal axis dysfunction in non-clinical psychosis. Psychiatry Research 206, 315317.Google Scholar
Mizrahi, R (2016). Social stress and psychosis risk: common neurochemical substrates? Neuropsychopharmacology 41, 666674.Google Scholar
Mondelli, V, Cattaneo, A, Belvederi Murri, M, Di Forti, M, Handley, R, Hepgul, N, Miorelli, A, Navari, S, Papadopoulos, AS, Aitchison, KJ, Morgan, C, Murray, RM, Dazzan, P, Pariante, CM (2011). Stress and inflammation reduce brain-derived neurotrophic factor expression in first-episode psychosis: a pathway to smaller hippocampal volume. Journal of Clinical Psychiatry 72, 16771684.Google Scholar
Mondelli, V, Dazzan, P, Hepgul, N, Di Forti, M, Aas, M, D'Albenzio, A, Di Nicola, M, Fisher, H, Handley, R, Marques, TR, Morgan, C, Navari, S, Taylor, H, Papadopoulos, A, Aitchison, KJ, Murray, RM, Pariante, CM (2010 a). Abnormal cortisol levels during the day and cortisol awakening response in first-episode psychosis: the role of stress and of antipsychotic treatment. Schizophrenia Research 116, 234242.CrossRefGoogle ScholarPubMed
Mondelli, V, Pariante, CM, Navari, S, Aas, M, D'Albenzio, A, Di Forti, M, Handley, R, Hepgul, N, Marques, TR, Taylor, H, Papadopoulos, AS, Aitchison, KJ, Murray, RM, Dazzan, P (2010 b). Higher cortisol levels are associated with smaller left hippocampal volume in first-episode psychosis. Schizophrenia Research 119, 7578.CrossRefGoogle ScholarPubMed
Phillips, LJ, Velakoulis, D, Pantelis, C, Wood, S, Yuen, HP, Yung, AR, Desmond, P, Brewer, W, McGorry, PD (2002). Non-reduction in hippocampal volume is associated with higher risk of psychosis. Schizophrenia Research 58, 145158.CrossRefGoogle ScholarPubMed
Popoli, M, Yan, Z, McEwen, BS, Sanacora, G (2012). The stressed synapse: the impact of stress and glucocorticoids on glutamate transmission. Nature Reviews Neuroscience 13, 2237.Google Scholar
Pruessner, JC, Dedovic, K, Khalili-Mahani, N, Engert, V, Pruessner, M, Buss, C, Renwick, R, Dagher, A, Meaney, MJ, Lupien, S (2008 a). Deactivation of the limbic system during acute psychosocial stress: evidence from positron emission tomography and functional magnetic resonance imaging studies. Biological Psychiatry 63, 234240.Google Scholar
Pruessner, JC, Kirschbaum, C, Meinlschmid, G, Hellhammer, DH (2003). Two formulas for computation of the area under the curve represent measures of total hormone concentration versus time-dependent change. Psychoneuroendocrinology 28, 916931.Google Scholar
Pruessner, JC, Li, LM, Serles, W, Pruessner, M, Collins, DL, Kabani, N, Lupien, S, Evans, AC (2000). Volumetry of hippocampus and amygdala with high-resolution MRI and three-dimensional analysis software: minimizing the discrepancies between laboratories. Cerebebral Cortex 10, 433442.Google Scholar
Pruessner, JC, Wolf, OT, Hellhammer, DH, Buske-Kirschbaum, A, von Auer, K, Jobst, S, Kaspers, F, Kirschbaum, C (1997). Free cortisol levels after awakening: a reliable biological marker for the assessment of adrenocortical activity. Life Sciences 61, 25392549.CrossRefGoogle ScholarPubMed
Pruessner, M, Bechard-Evans, L, Boekestyn, L, Iyer, SN, Pruessner, JC, Malla, AK (2013 a). Attenuated cortisol response to acute psychosocial stress in individuals at ultra-high risk for psychosis. Schizophrenia Research 146, 7986.CrossRefGoogle ScholarPubMed
Pruessner, M, Boekestyn, L, Bechard-Evans, L, Abadi, S, Vracotas, N, Joober, R, Pruessner, JC, Malla, AK (2008 b). Sex differences in the cortisol response to awakening in recent onset psychosis. Psychoneuroendocrinology 33, 11511154.Google Scholar
Pruessner, M, Faridi, K, Shah, J, Rabinovitch, M, Iyer, S, Abadi, S, Pawliuk, N, Joober, R, Malla, AK (2015 a). The Clinic for Assessment of Youth at Risk (CAYR): 10 years of service delivery and research targeting the prevention of psychosis in Montreal, Canada. Early Intervention in Psychiatry (http://www.ncbi.nlm.nih.gov/pubmed/26593976).Google Scholar
Pruessner, M, Lepage, M, Collins, DL, Pruessner, JC, Joober, R, Malla, AK (2015 b). Reduced hippocampal volume and hypothalamus-pituitary-adrenal axis function in first episode psychosis: evidence for sex differences. Neuroimage Clinical 7, 195202.Google Scholar
Pruessner, M, Vracotas, N, Joober, R, Pruessner, JC, Malla, AK (2013 b). Blunted cortisol awakening response in men with first episode psychosis: relationship to parental bonding. Psychoneuroendocrinology 38, 229240.Google Scholar
Schmidt-Reinwald, A, Pruessner, JC, Hellhammer, DH, Federenko, I, Rohleder, N, Schurmeyer, TH, Kirschbaum, C (1999). The cortisol response to awakening in relation to different challenge tests and a 12-hour cortisol rhythm. Life Sciences 64, 16531660.Google Scholar
Schobel, SA, Chaudhury, NH, Khan, UA, Paniagua, B, Styner, MA, Asllani, I, Inbar, BP, Corcoran, CM, Lieberman, JA, Moore, H, Small, SA (2013). Imaging patients with psychosis and a mouse model establishes a spreading pattern of hippocampal dysfunction and implicates glutamate as a driver. Neuron 78, 8193.CrossRefGoogle Scholar
Seeman, MV (2008). Gender. In Clinical Handbook of Schizophrenia (ed. Mueser, K. T. and Jeste, D. V.), pp. 575580. The Guilford Press: New York.Google Scholar
Seidman, LJ, Rosso, IM, Thermenos, HW, Makris, N, Juelich, R, Gabrieli, JD, Faraone, SV, Tsuang, MT, Whitfield-Gabrieli, S (2014). Medial temporal lobe default mode functioning and hippocampal structure as vulnerability indicators for schizophrenia: a MRI study of non-psychotic adolescent first-degree relatives. Schizophrenia Research 159, 426434.Google Scholar
Sled, JG, Zijdenbos, AP, Evans, AC (1998). A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Transactions on Medical Imaging 17, 8797.Google Scholar
Stalder, T, Kirschbaum, C, Kudielka, BM, Adam, EK, Pruessner, JC, Wust, S, Dockray, S, Smyth, N, Evans, P, Hellhammer, DH, Miller, R, Wetherell, MA, Lupien, SJ, Clow, A (2016). Assessment of the cortisol awakening response: expert consensus guidelines. Psychoneuroendocrinology 63, 414432.Google Scholar
Stein, MB, Koverola, C, Hanna, C, Torchia, MG, McClarty, B (1997). Hippocampal volume in women victimized by childhood sexual abuse. Psychological Medicine 27, 951959.Google Scholar
Sugranyes, G, Thompson, JL, Corcoran, CM (2012). HPA-axis function, symptoms, and medication exposure in youths at clinical high risk for psychosis. Journal of Psychiatric Research 46, 13891393.Google Scholar
Szymanski, S, Lieberman, JA, Alvir, JM, Mayerhoff, D, Loebel, A, Geisler, S, Chakos, M, Koreen, A, Jody, D, Kane, J, Woerner, M, Cooper, MA (1995). Gender differences in onset of illness, treatment response, course, and biologic indexes in first-episode schizophrenic patients. American Journal of Psychiatry 152, 698703.Google ScholarPubMed
Talairach, J, Tournoux, P (1988). Co-Planar Stereotaxic Atlas of the Human Brain. 3-Dimensional Proportional System: An Approach to Cerebral Imaging. Thieme: New York.Google Scholar
Thompson, KN, Phillips, LJ, Komesaroff, P, Yuen, HP, Wood, SJ, Pantelis, C, Velakoulis, D, Yung, AR, McGorry, PD (2007). Stress and HPA-axis functioning in young people at ultra high risk for psychosis. Journal of Psychiatric Research 41, 561569.CrossRefGoogle ScholarPubMed
Ulrich-Lai, YM, Herman, JP (2009). Neural regulation of endocrine and autonomic stress responses. Nature Reviews Neuroscience 10, 397409.Google Scholar
van Venrooij, JA, Fluitman, SB, Lijmer, JG, Kavelaars, A, Heijnen, CJ, Westenberg, HG, Kahn, RS, Gispen-de Wied, CC (2012). Impaired neuroendocrine and immune response to acute stress in medication-naive patients with a first episode of psychosis. Schizophrenia Bulletin 38, 272279.CrossRefGoogle ScholarPubMed
Velakoulis, D, Wood, SJ, Wong, MT, McGorry, PD, Yung, A, Phillips, L, Smith, D, Brewer, W, Proffitt, T, Desmond, P, Pantelis, C (2006). Hippocampal and amygdala volumes according to psychosis stage and diagnosis: a magnetic resonance imaging study of chronic schizophrenia, first-episode psychosis, and ultra-high-risk individuals. Archives of General Psychiatry 63, 139149.Google Scholar
Ventura, J, Green, MF, Shaner, A, Liberman, RP (1993). Training and quality assurance with the Brief Psychiatric Rating Scale: “The Drift Busters”. International Journal of Methods in Psychiatric Research 3, 221244.Google Scholar
Walder, DJ, Holtzman, CW, Addington, J, Cadenhead, K, Tsuang, M, Cornblatt, B, Cannon, TD, McGlashan, TH, Woods, SW, Perkins, DO, Seidman, LJ, Heinssen, R, Walker, EF (2013). Sexual dimorphisms and prediction of conversion in the NAPLS psychosis prodrome. Schizophrenia Research 144, 4350.Google Scholar
Walker, E, Mittal, V, Tessner, K (2008). Stress and the hypothalamic pituitary adrenal axis in the developmental course of schizophrenia. Annual Review of Clinical Psychology 4, 189216.Google Scholar
Walker, EF, Diforio, D (1997). Schizophrenia: a neural diathesis-stress model. Psychological Review 104, 667685.Google Scholar
Walker, EF, Trotman, HD, Pearce, BD, Addington, J, Cadenhead, KS, Cornblatt, BA, Heinssen, R, Mathalon, DH, Perkins, DO, Seidman, LJ, Tsuang, MT, Cannon, TD, McGlashan, TH, Woods, SW (2013). Cortisol levels and risk for psychosis: initial findings from the North American prodrome longitudinal study. Biological Psychiatry 74, 410417.CrossRefGoogle ScholarPubMed
Walter, A, Studerus, E, Smieskova, R, Kuster, P, Aston, J, Lang, UE, Radue, EW, Riecher-Rossler, A, Borgwardt, S (2012). Hippocampal volume in subjects at high risk of psychosis: a longitudinal MRI study. Schizophrenia Research 142, 217222.CrossRefGoogle ScholarPubMed
Wingenfeld, K, Wolf, OT (2014). Stress, memory, and the hippocampus. Frontiers in Neurology and Neuroscience 34, 109120.Google Scholar
Witthaus, H, Kaufmann, C, Bohner, G, Ozgurdal, S, Gudlowski, Y, Gallinat, J, Ruhrmann, S, Brune, M, Heinz, A, Klingebiel, R, Juckel, G (2009). Gray matter abnormalities in subjects at ultra-high risk for schizophrenia and first-episode schizophrenic patients compared to healthy controls. Psychiatry Research 173, 163169.Google Scholar
Witthaus, H, Mendes, U, Brune, M, Ozgurdal, S, Bohner, G, Gudlowski, Y, Kalus, P, Andreasen, N, Heinz, A, Klingebiel, R, Juckel, G (2010). Hippocampal subdivision and amygdalar volumes in patients in an at-risk mental state for schizophrenia. Journal of Psychiatry and Neuroscience 35, 3340.CrossRefGoogle Scholar
Wolf, OT, Fujiwara, E, Luwinski, G, Kirschbaum, C, Markowitsch, HJ (2005). No morning cortisol response in patients with severe global amnesia. Psychoneuroendocrinology 30, 101105.Google Scholar
Wood, SJ, Kennedy, D, Phillips, LJ, Seal, ML, Yucel, M, Nelson, B, Yung, AR, Jackson, G, McGorry, PD, Velakoulis, D, Pantelis, C (2010). Hippocampal pathology in individuals at ultra-high risk for psychosis: a multi-modal magnetic resonance study. Neuroimage 52, 6268.Google Scholar
Wood, SJ, Yucel, M, Velakoulis, D, Phillips, LJ, Yung, AR, Brewer, W, McGorry, PD, Pantelis, C (2005). Hippocampal and anterior cingulate morphology in subjects at ultra-high-risk for psychosis: the role of family history of psychotic illness. Schizophrenia Research 75, 295301.Google Scholar
Yung, AR, Yuen, HP, McGorry, PD, Phillips, LJ, Kelly, D, Dell'Olio, M, Francey, SM, Cosgrave, EM, Killackey, E, Stanford, C, Godfrey, K, Buckby, J (2005). Mapping the onset of psychosis: the Comprehensive Assessment of At-Risk Mental States. Australian and New Zealand Journal of Psychiatry 39, 964971.Google Scholar