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Functional neuroimaging of sex differences in autobiographical memory recall in depression

Published online by Cambridge University Press:  27 April 2017

K. D. Young*
Affiliation:
Laureate Institute for Brain Research, Tulsa, OK, USA Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
J. Bodurka
Affiliation:
Laureate Institute for Brain Research, Tulsa, OK, USA Biomedical Engineering Center, Norman, OK, USA Stephenson School of Biomedical Engineering University of Oklahoma College of Engineering, Norman, OK, USA
W. C. Drevets
Affiliation:
Janssen Research and Development, LLC, of Johnson & Johnson, Inc., New Brunswick, NJ, USA
*
*Address for correspondence: K. D. Young, Western Psychiatric Institute and Clinic, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA. (Email: [email protected])

Abstract

Background

Females are more likely than males to develop major depressive disorder (MDD). The current study used fMRI to compare the neural correlates of autobiographical memory (AM) recall between males and females diagnosed with MDD. AM overgenerality is a persistent cognitive deficit in MDD, the magnitude of which is correlated with depressive severity only in females. Delineating the neurobiological correlates of this deficit may elucidate the nature of sex-differences in the diathesis for developing MDD.

Methods

Participants included unmedicated males and females diagnosed with MDD (n = 20/group), and an age and sex matched healthy control group. AM recall in response to positive, negative, and neutral cue words was compared with a semantic memory task.

Results

The behavioral properties of AMs did not differ between MDD males and females. In contrast, main effects of sex on cerebral hemodynamic activity were observed in left dorsolateral prefrontal cortex and parahippocampal gyrus during recall of positive specific memories, and middle prefrontal cortex (mPFC), and precuneus during recall of negative specific memories. Moreover, main effects of diagnosis on regional hemodynamic activity were observed in left ventrolateral prefrontal cortex and mPFC during positive specific memory recall, and dorsal anterior cingulate cortex during negative specific memory recall. Sex × diagnosis interactions were evident in the dorsomedial prefrontal cortex, caudate, and precuneus during positive memory recall, and in the posterior cingulate cortex, insula, precuneus and thalamus during negative specific memory recall.

Conclusions

The differential hemodynamic changes conceivably may reflect sex-specific cognitive strategies during recall of AMs irrespective of the phenomenological properties of those memories.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2017 

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References

American Psychological Association (APA) (2000). Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision. American Psychiatric Association: Washington, DC.Google Scholar
Aminoff, EM, Kveraga, K, Bar, M (2013). The role of the parahippocampal cortex in cognition. Trends in Cognitive Sciences 17, 379390.CrossRefGoogle ScholarPubMed
Banich, MT, Mackiewicz, KL, Depue, BE, Whitmer, AJ, Miller, GA, Heller, W (2009). Cognitive control mechanisms, emotion and memory: a neural perspective with implications for psychopathology. Neuroscience Biobehavioral Reviews 33, 613630.Google Scholar
Bower, GH (1981). Mood and memory. American Psychologist 36, 129148.Google Scholar
Briceno, EM, Rapport, LJ, Kassel, MT, Bieliauskas, LA, Zubieta, JK, Weisenbach, SL, Langenecker, SA (2015). Age and gender modulate the neural circuitry supporting facial emotion processing in adults with major depressive disorder. American Journal of Geriatric Psychiatry 23, 304313.Google Scholar
Brittlebank, AD, Scott, J, Williams, JM, Ferrier, IN (1993). Autobiographical memory in depression: state or trait marker? British Journal of Psychiatry 162, 118121.Google Scholar
Buckner, RL, Andrews-Hanna, JR, Schacter, DL (2008). The brain's default network: anatomy, function, and relevance to disease. Annals of the New York Academy of Sciences 1124, 138.CrossRefGoogle ScholarPubMed
Cavanna, AE, Trimble, MR (2006). The precuneus: a review of its functional anatomy and behavioural correlates. Brain 129, 564583.Google Scholar
Champagne, K, Burkhouse, KL, Woody, ML, Feurer, C, Sosoo, E, Gibb, BE (2016). Brief report: overgeneral autobiographical memory in adolescent major depressive disorder. Journal of Adolescence 52, 7275.Google Scholar
Davis, M, Whalen, PJ (2001). The amygdala: vigilance and emotion. Molecular Psychiatry 6, 1334.Google Scholar
Delgado, MR, Nystrom, LE, Fissell, C, Noll, DC, Fiez, JA (2000). Tracking the hemodynamic responses to reward and punishment in the striatum. Journal of Neurophysiology 84, 30723077.Google Scholar
First, MB, Spitzer, RL, Gibbon, M, Williams, JBW (2002). Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Patient Edition (SCID-I/P) . New York State Psychiatric Institute, Biometrics Research: New York, NY.Google Scholar
Griffith, JW, Sumner, JA, Debeer, E, Raes, F, Hermans, D, Mineka, S, Zinbarg, RE, Craske, MG (2009). An item response theory/confirmatory factor analysis of the Autobiographical Memory Test. Memory 17, 609623.Google Scholar
Hamilton, JP, Farmer, M, Fogelman, P, Gotlib, IH (2015). Depressive rumination, the default-mode network, and the dark matter of clinical neuroscience. Biological Psychiatry 78, 224230.Google Scholar
Hamilton, M (1960). A rating scale for depression. Journal of Neurology, Neurosurgery, and Psychiatry 23, 5662.Google Scholar
Heron, J, Crane, C, Gunnell, D, Lewis, G, Evans, J, Williams, JM (2012). 40 000 memories in young teenagers: psychometric properties of the Autobiographical Memory Test in a UK cohort study. Memory 20, 300320.Google Scholar
Kessler, RC (2003). Epidemiology of women and depression. Journal of Affective Disorders 74, 513.Google Scholar
Khan, A, Brodhead, AE, Schwartz, KA, Kolts, RL, Brown, WA (2005). Sex differences in antidepressant response in recent antidepressant clinical trials. Journal of Clinical Psychopharmacology 25, 318324.CrossRefGoogle ScholarPubMed
Lemogne, C, Gorwood, P, Bergouignan, L, Pelissolo, A, Lehericy, S, Fossati, P (2011). Negative affectivity, self-referential processing and the cortical midline structures. Social Cognitive and Affective Neuroscience 6, 426433.Google Scholar
Levesque, J, Eugene, F, Joanette, Y, Paquette, V, Mensour, B, Beaudoin, G, Leroux, JM, Bourgouin, P, Beauregard, M (2003). Neural circuitry underlying voluntary suppression of sadness. Biological Psychiatry 53, 502510.Google Scholar
Menon, V, Uddin, LQ (2010). Saliency, switching, attention and control: a network model of insula function. Brain Structure and Function 214, 655667.Google Scholar
Nejad, AB, Fossati, P, Lemogne, C (2013). Self-referential processing, rumination, and cortical midline structures in major depression. Frontiers in Human Neuroscience 7, 666.Google Scholar
Nolen-Hoeksema, S (1987). Sex differences in unipolar depression: evidence and theory. Psychological Bulletin 101, 259282.Google Scholar
Northoff, G, Heinzel, A, de Greck, M, Bermpohl, F, Dobrowolny, H, Panksepp, J (2006). Self-referential processing in our brain--a meta-analysis of imaging studies on the self. Neuroimage 31, 440457.Google Scholar
Pauli, WM, Roder, B (2008). Emotional salience changes the focus of spatial attention. Brain Research 1214, 94104.Google Scholar
Piccinelli, M, Wilkinson, G (2000). Gender differences in depression. Critical review. British Journal of Psychiatry 177, 486492.Google Scholar
Piefke, M, Weiss, P, Markowitsch, H, Fink, G (2005). Gender differences in the functional neuroanatomy of emotional episodic autobiographical memory. Human Brain Mapping 24, 313324.Google Scholar
Pizzagalli, DA, Holmes, AJ, Dillon, DG, Goetz, EL, Birk, JL, Bogdan, R, Dougherty, DD, Iosifescu, DV, Rauch, SL, Fava, M (2009). Reduced caudate and nucleus accumbens response to rewards in unmedicated individuals with major depressive disorder. American Journal of Psychiatry 166, 702710.Google Scholar
Pratt, LA, Brody, DJ, Gu, Q (2011). Antidepressant use in persons aged 12 and over: United States, 2005–2008. NCHS data brief, no 76. National Center for Health Statistics: Hyattsville, MD.Google Scholar
Rawal, A, Rice, F (2012). Examining overgeneral autobiographical memory as a risk factor for adolescent depression. Journal of the American Academy of Child and Adolescent Psychiatry 51, 518527.Google Scholar
Ros, L, Ricarte, JJ, Serrano, JP, Nieto, M, Aguilar, MJ, Latorre, JM (2014). Overgeneral autobiographical memories: gender differences in depression. Applied Cognitive Psychology 28, 472480.CrossRefGoogle Scholar
Ross, M, Holmberg, D (1992). Are wives’ memories for events in relationships more vivid than their husbands’ memories? Journal of Social and Personal Relationships 9, 585604.Google Scholar
Rubin, DC, Schulkind, MD, Rahhal, TA (1999). A study of gender differences in autobiographical memory: broken down by age and sex. Journal of Adult Development 6, 6171.Google Scholar
Seeley, WW, Menon, V, Schatzberg, AF, Keller, J, Glover, GH, Kenna, H, Reiss, AL, Greicius, MD (2007). Dissociable intrinsic connectivity networks for salience processing and executive control. Journal of Neuroscience 27, 23492356.Google Scholar
Seidlitz, L, Diener, E (1998). Sex differences in the recall of affective experiences. Journal of Personality and Social Psychology 74, 262271.Google Scholar
Soderlund, H, Moscovitch, M, Kumar, N, Daskalakis, ZJ, Flint, A, Herrmann, N, Levine, B (2014). Autobiographical episodic memory in major depressive disorder. Journal of Abnormal Psychology 123, 5160.Google Scholar
St Jacques, PL, Conway, MA, Cabeza, R (2011). Gender differences in autobiographical memory for everyday events: retrieval elicited by SenseCam images versus verbal cues. Memory 19, 723732.Google Scholar
Stokes, DJ, Dritschel, BH, Bekerian, DA (2004). The effect of burn injury on adolescents autobiographical memory. Behaviour Research and Therapy 42, 13571365.Google Scholar
Talairach, J, Tournoux, P (1988). Co-planar Stereotaxic Atlas of the Human Brain: 3-Dimensional Proportional System - An Approach to Cerebral Imaging. Thieme Medical Publishers: New York.Google Scholar
Wang, L, LaBar, K, Smoski, M, Rosenthal, M, Dolcos, F, Lynch, T, Krishnan, R, McCarthy, G (2008). Prefrontal mechanisms for executive control over emotional distraction are altered in major depression. Psychiatry Research 163, 143155.Google Scholar
Watkins, E, Teasdale, JD (2001). Rumination and overgeneral memory in depression: effects of self-focus and analytic thinking. Journal of Abnormal Psychology 110, 353357.Google Scholar
Wechsler, D (1999). Wechsler Abbreviated Scale of Intelligence (WASI) . Harcourt Assessment: San Antonio, TX.Google Scholar
Williams, J, Broadbent, K (1986). Autobiographical memory in suicide attempters. Journal of Abnormal Psychology 95, 144149.Google Scholar
Williams, JM, Barnhofer, T, Crane, C, Herman, D, Raes, F, Watkins, E, Dalgleish, T (2007). Autobiographical memory specificity and emotional disorder. Psychological Bulletin 133, 122148.Google Scholar
Young, KD, Bellgowan, P, Bodurka, J, Drevets, WC (2013 a). Behavioral and neurophysiological correlates of autobiographical memory deficits in patients with depression and individuals at high risk for depression. Journal of the American Medical Association: Psychiatry 70, 698708.Google Scholar
Young, KD, Bellgowan, P, Bodurka, J, Drevets, WC (2013 b). Functional neuroimaging of sex differences in autobiographical memory recall. Human Brain Mappping 34, 33203332.Google Scholar
Young, KD, Bellgowan, P, Bodurka, J, Drevets, WC (2014). Neurophysiological correlates of autobiographical memory deficits in currently and formerly depressed subjects. Psychological Medicine 44, 29512963.Google Scholar
Young, KD, Bellgowan, P, Bodurka, J, Drevets, WC (2015). Functional neuroimaging correlates of autobiographical memory deficits in subjects at risk for depression. Brain Sciences 5, 144164.Google Scholar
Young, KD, Siegle, GJ, Bodurka, J, Drevets, WC (2016). Amygdala activity during autobiographical memory recall in depressed and vulnerable individuals; Association with symptom severity and autobiographical overgenerality. American Journal of Psychiatry 173, 7889.Google Scholar
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