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<strong>Editorial</strong><br />

Will New Insights Into Neural Networks<br />

Help Us to Improve Our<br />

Models of Suicidal Behavior?<br />

Konrad Michel<br />

University Hospital of Psychiatry, Bern, Switzerland<br />

Suicide is a complex phenomenon, and we have learnt that<br />

there is no simple cause–effect relationship that can explain<br />

why people take their own lives. However, in recent<br />

years research has provided us with new insights into biological<br />

and psychological mechanisms related to suicidal<br />

behavior. In a recent Crisis editorial, Kees van Heeringen<br />

(2014) gave a fascinating overview of brain imaging studies<br />

of suicidal behavior. Suicidal behavior is associated<br />

with structural changes in cortical areas of the brain. For<br />

instance, there is an intriguing study by Benedetti and colleagues<br />

(2011) who, in patients with past suicide attempts,<br />

found reduced gray matter volume in the dorsolateral prefrontal<br />

cortex, orbitofrontal cortex, anterior cingulate, and<br />

the basal ganglia – and that lithium treatment reversed<br />

the loss of volume in these areas. Besides cortical abnormalities,<br />

white matter abnormalities have been reported<br />

(Mahon, Burdick, Wu, Ardekani, & Szeszko, 2012). van<br />

Heeringen argues that in order to understand the neural<br />

correlates of dysfunctional cognitive-emotional processing,<br />

we need to go beyond simple structural brain abnormalities,<br />

and focus on networks that connect frontal cortical<br />

areas, including the cingulate cortex and subcortical<br />

areas. The rationale is that connections and networks may<br />

provide the key to the understanding of the neural and psychological<br />

mechanisms involved in getting people to the<br />

point of killing themselves.<br />

The question then will be which clinical and psychological<br />

concepts of suicidal behavior could be related to<br />

such neural networks?<br />

Decision Making<br />

There is now a vast body of literature about decision making<br />

in general and in suicidal individuals in particular, with<br />

some of the studies including brain activation related to<br />

decision making. Individuals with a history of suicidal<br />

behavior, especially those with violent attempts, perform<br />

significantly worse in the Iowa Gambling Task when compared<br />

with healthy individuals (Jollant et al., 2005), and<br />

they have difficulties in deciding between safe and risky<br />

outcomes, particularly under conditions of uncertainty<br />

(Jollant et al., 2010). Suicidal and depressed individuals<br />

show greater interference in the emotional Stroop task<br />

(Becker, Strohbach, & Rinck, 1999), a finding that is associated<br />

with hypersensitivity to certain emotional stimuli,<br />

which interfere with the neural processing involved<br />

in inhibitory control tasks (Cha, Najmi, Park, Finn, &<br />

Nock, 2010; Hu, Liu, Weng, & Northoff, 2012; Williams,<br />

Mathews, & MacLeod, 1996). Stroop task performance involves<br />

a fronto-cingulate network, more specifically, the<br />

dorsal anterior cingulate cortex and the ventrolateral prefrontal<br />

cortex (Wagner et al., 2013).<br />

From Decision to Action<br />

Patients describe suicidal acts as automatic, as “feeling<br />

right,” even leading to inner calmness. In a long-term perspective<br />

of a person’s life, however, suicide in most cases<br />

appears as “taking action but taking the wrong action”<br />

(Baumeister & Heatherton, 1996; Hines & Reidenberg,<br />

2013). In the conceptual frame of dual processing theory<br />

(Epstein, Pacini, Denes-Raj, & Heier, 1996; Evans, 1996;<br />

Stanovich & West, 2000) intuitive and automatic behavior<br />

is seen as typical for “System 1” processing. This processing<br />

system, which is considered to operate with little or no<br />

conscious input, is seen as the source of most of our actions.<br />

Although usually reliable in familiar situations, with<br />

generally swift and appropriate responses to challenges,<br />

this computational system is subject to systematic errors<br />

in specific circumstances. It typically operates within an<br />

emotional context and has a tendency to jump to conclusions<br />

on the basis of very limited evidence (Kahneman,<br />

2012). In dual processing theory, System 2 has the function<br />

of an override system for some of the risky decisions<br />

© 2014 Hogrefe Publishing Crisis 2014<br />

DOI: 10.1027/0227-5910/a000272


2<br />

<strong>Editorial</strong><br />

provided by System 1 – such as planning and initiating<br />

suicidal behavior. The theory implies that in suicidal individuals<br />

this correctional mechanism does not stop the<br />

System 1 suicidal action. Switching of strategies as part<br />

of decision-making processes has been related to a network<br />

involving the medial and lateral prefrontal cortex and<br />

the anterior cingulate cortex (Carter, Botvinick, & Cohen,<br />

1999; Nee, Kastner, & Brown, 2011; Paulus et al., 2001).<br />

The latter is involved in detecting situations that require<br />

increased cognitive control (Botvinick, 2001).<br />

Psychological Pain and Dissociation<br />

Suicide attempters usually indicate that a predominant<br />

motive for suicidal behavior was to end unbearable psychological<br />

or mental pain (Orbach, Mikulincer, Gilboa-<br />

Schechtman, & Sirota, 2003; Shneidman, 1993). There is no<br />

generally agreed definition of psychological pain (Habenstein,<br />

Reisch, & Michel, 2013; Tossani, 2013). Bolger<br />

(1999) defined emotional pain as a state of “feeling broken”<br />

that involved the experience of being wounded, with<br />

a loss of self. In the Orbach & Mikulincer Mental Pain<br />

Scale (Orbach, Mikulincer, Sirota, & Gilboa-Schechtman,<br />

2003[author: correct ref?]) the main factors were a sense<br />

of irreversibility and loss of control. Due to its state character,<br />

psychological pain is not easily amenable to neuroimaging<br />

(Meerwijk, Ford, & Weiss, 2013). A functional<br />

magnetic resonance imaging study on mental pain using<br />

script-driven recall of the suicidal crisis suggested a deactivation<br />

in frontal cortical areas (BA 46, 10, 6) during the<br />

mental pain mode, with increasing neural activity in the<br />

medial prefrontal cortex and the anterior cingulate cortex<br />

when patients were asked to recall how they acted on the<br />

suicidal impulse (Reisch et al., 2010). Pain and emotion<br />

processing is thought to involve interactions in subregions<br />

of the cingulate gyrus associated with emotional memories,<br />

autonomic control, and response selection – i.e.,<br />

avoidance behavior – with the amygdala and prefrontal<br />

regions (Price, 2000; Shackman et al., 2011; Vogt, 2005).<br />

The Suicidal Self<br />

In an action theoretical view, suicide emerges as a goal<br />

when important life-career goals are jeopardized due to<br />

negative experiences (Michel & Valach, 1997). The concept<br />

of suicide as “escape from self“ (Baumeister, 1990)<br />

encompasses negative attributions about the self, for example,<br />

self-blame, guilt, and self-hate, following the awareness<br />

of the self as falling short of important standards. A<br />

central element is the deconstructed awareness of the self,<br />

replacing the integrative and meaningful awareness of self<br />

as an identity. Phenomenologically, the self is characterized<br />

by certain typical properties, such as self-agency, self-coherence,<br />

self-history (autobiographical self), and continuity<br />

of the self (Kircher & David, 2003). Central to the self-<br />

Crisis 2014<br />

memory system is the working self (Conway, Pleydell-<br />

Pearce, Whitecross, & Sharpe, 2003). The working self<br />

creates a model of the psychological present based on the<br />

autobiographical knowledge base (the long-term self),<br />

and operates processes that initiate and monitor goaldirected<br />

activity. Self-reflective properties are attributed<br />

to the brain’s ability to access simultaneously information<br />

concerning the personal past, present, and future (Ingvar,<br />

1985). In suicidal individuals a tendency to overgeneral<br />

memory retrieval, rather than recalling specific events, has<br />

been found (Williams et al., 2007), resulting in impaired<br />

problem-solving capacities. Neurobiologically, functions<br />

associated with the working self have been related to a network<br />

involving the prefrontal cortex, the striatum, and the<br />

dorsal parietal cortex (Keenan, Wheeler, Gallup, & Pascual-Leone,<br />

2000).<br />

The Suicidal Mode<br />

Patients’ descriptions of the suicidal state of mind as acute<br />

and time-limited have been conceptualized as suicidal<br />

mode. A threat mode includes autonomic arousal, along<br />

with motor and sensory system activation, which orients<br />

the individual for action such as fight or flight (Beck, 1996).<br />

Triggers may be external or internal events. The concept<br />

of the suicidal mode is related to acute stress conditions,<br />

and is characterized by its on/off mechanism of changes in<br />

cognition, affect, and behavior (Rudd, 2000). Dissociative<br />

symptoms such as emotional numbing, detachment from<br />

body, and indifference to physical pain are frequent in the<br />

acute suicidal state of mind (Orbach, 1994). Dissociative<br />

symptoms are a typical feature of PTSD symptomatology<br />

and have been related to changes in neural activation<br />

in the medial prefrontal and the anterior cingulate cortex<br />

(Bremner et al., 1999; Lanius et al., 2001).<br />

Is There Light at the End of the Tunnel?<br />

The stress–diathesis model (Mann & Arango, 1992) has set<br />

the frame to incorporate illness/psychosocial and biological<br />

factors relevant for suicidal behavior. We have a fairly<br />

good picture of genetic and epigenetic effects, associated<br />

with functional and structural changes in brain areas involved<br />

in emotion regulation and decision making as trait<br />

factors (Turecki, Ernst, Jollant, Labonte, & Mechawar,<br />

2012). The challenge will now be to improve our models<br />

of suicidal behavior by linking and integrating neural, neuropsychological,<br />

and psychological findings, which then<br />

need to be translated into clinical suicide prevention. For<br />

instance, a first implication of an integrated model could<br />

be that even the best treatment cannot “cure” suicidality<br />

after attempted suicide, because – and this should be<br />

included in the patients’ psychoeducation – the suicidal<br />

mode will be saved as contextual memory related to a neurobiological<br />

mode, which can be triggered again any time<br />

© 2014 Hogrefe Publishing


<strong>Editorial</strong> 3<br />

in the future. Patients must be aware of this risk. Furthermore,<br />

therapists – as well as patients – should take into<br />

account that impaired cognitive functioning and decision<br />

making in emotionally stressful situations is a long-term<br />

trait, which will persist after the resolution of a suicidal<br />

crisis – and that there is a neurobiological basis to this. We<br />

could even imagine that education of the public about suicide<br />

will in future move away from the mantra of equating<br />

suicide with depression, and rather focus on suicide as the<br />

serious result of an emotionally driven error of decision, a<br />

decision taken in a moment of a temporary myopia for a<br />

person’s long-term perspective. Perhaps we need an author<br />

who launches a suicide-related bestseller like Kahneman’s<br />

Thinking Fast and Slow (2012)[author: change ok?].<br />

Certainly, Maris’s statement, “Suicide cannot be prevented<br />

until it is properly conceptualized” (Maris, 1981), still<br />

holds true. But at least it seems that we are getting closer.<br />

References<br />

Baumeister, R. F. (1990). Suicide as escape from self. Psychological<br />

Review, 97(1), 90–113.<br />

Baumeister, R. F., & Heatherton, T. F. (1996). Self-regulation<br />

failure: An overview. Psychological Inquiry, 7(1), 1–15.<br />

Beck, A. T. (1996). Beyond belief: A theory of modes, personality,<br />

and psychopathology. In P. Salkovskis (Ed.), Frontiers of<br />

cognitive therapy (pp. 1–25). New York, NY: Guilford.<br />

Becker, E. S., Strohbach, D., & Rinck, M. (1999). A specific attentional<br />

bias in suicide attempters. Journal of Nervous and<br />

Mental Disease, 187(12), 730–735.<br />

Benedetti, F., Radaelli, D., Poletti, S., Locatelli, C., Falini, A.,<br />

Colombo, C., & Smeraldi, E. (2011). Opposite effects of suicidality<br />

and lithium on gray matter volumes in bipolar depression.<br />

Journal of Affective Disorders, 135(1-3), 139–147.<br />

Bolger, E. (1999). Grounded theory analysis of emotional pain.<br />

Psychotherapy Research, 9(3), 342–362.<br />

Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., &<br />

Cohen, J. D. (2001). Conflict monitoring and cognitive control.<br />

Psychological Review, 108(3), 624–652.<br />

Bremner, J. D., Narayan, M., Staib, L. H., Southwick, S. M.,<br />

McGlashan, T., & Charney, D. S. (1999). Neural correlates<br />

of memories of childhood sexual abuse in women with and<br />

without posttraumatic stress disorder. American Journal of<br />

Psychiatry, 156(11), 1787–1795.<br />

Carter, C. S., Botvinick, M. M., & Cohen, J. D. (1999). The contribution<br />

of the anterior cingulate cortex to executive processes<br />

in cognition. Reviews in the Neurosciences, 10(1), 49–57.<br />

Cha, C. B., Najmi, S., Park, J. M., Finn, C. T., & Nock, M. K.<br />

(2010). Attentional bias toward suicide-related stimuli predicts<br />

suicidal behavior. Journal of Abnormal Psychology,<br />

119(3), 616–622.<br />

Conway, M. A., Pleydell-Pearce, C. W., Whitecross, S. E., &<br />

Sharpe, H. (2003). Neurophysiological correlates of memory<br />

for experienced and imagined events. Neuropsychologia,<br />

41(3), 334–340.<br />

Epstein, S., Pacini, R., Denes-Raj, V., & Heier, H. (1996). Individual<br />

differences in intuitive-experiential and analyticalrational<br />

thinking styles. Journal of Personality and Social<br />

Psychology, 71, 390–405.<br />

Evans, J. S. B. T. (1996). Deciding before you think: Relevance<br />

and reasoning in the selection task. British Journal of Psychology,<br />

87, 223–240.<br />

Habenstein, A., Reisch, T., & Michel, K. (2013). Brain regions<br />

associated with psychological pain. Brain Imaging Behav,<br />

7(3), 243–244.<br />

Hines, K., & Reidenberg, D. J. (2013). Cracked, not broken: Surviving<br />

and thriving after a suicide attempt. Blue Ridge Summit,<br />

PA[author: PA ok?]: Rowman & Littlefield Publishers.<br />

Hu, Z., Liu, H., Weng, X., & Northoff, G. (2012). Is there a valence-specific<br />

pattern in emotional conflict in major depressive<br />

disorder? An exploratory psychological study. PloS One,<br />

7(2), e31983.<br />

Ingvar, D. H. (1985). “Memory of the future”: An essay on the<br />

temporal organization of conscious awareness. Human Neurobiology,<br />

4(3), 127–136.<br />

Jollant, F., Bellivier, F., Leboyer, M., Astruc, B., Torres, S., Verdier,<br />

R., … Courtet, P. (2005). Impaired decision making in<br />

suicide attempters. American Journal of Psychiatry, 162(2),<br />

304–310.<br />

Jollant, F., Lawrence, N. S., Olie, E., O’Daly, O., Malafosse, A.,<br />

Courtet, P., & Phillips, M. L. (2010). Decreased activation of<br />

lateral orbitofrontal cortex during risky choices under uncertainty<br />

is associated with disadvantageous decision-making<br />

and suicidal behavior. Neuroimage, 51(3), 1275–1281.<br />

Kahneman, D. (2012). Thinking fast and slow. London, UK[author:<br />

country ok?]: Penguin Books.<br />

Keenan, J. P., Wheeler, M. A., Gallup, G. G., Jr., & Pascual-<br />

Leone, A. (2000). Self-recognition and the right prefrontal<br />

cortex. Trends in Cognitive Sciences, 4(9), 338–344.<br />

Kircher, T., & David, A. S. (2003). Self-consciousness: An integrative<br />

approach from philosophy, psychopathology and the<br />

neurosciences. In A. D. T. Kircher (Ed.), The self in neuroscience<br />

and psychiatry (pp. 449–[author: add end page]). New<br />

York, NY: Cambridge University Press.<br />

Lanius, R. A., Williamson, P. C., Densmore, M., Boksman, K.,<br />

Gupta, M. A., Neufeld, R. W., … Menon, R. S. (2001). Neural<br />

correlates of traumatic memories in posttraumatic stress<br />

disorder: A functional MRI investigation. American Journal<br />

of Psychiatry, 158(11), 1920–1922.<br />

Mahon, K., Burdick, K. E., Wu, J., Ardekani, B. A., & Szeszko, P.<br />

R. (2012). Relationship between suicidality and impulsivity<br />

in bipolar I disorder: A diffusion tensor imaging study. Bipolar<br />

Disorder, 14(1), 80–89.<br />

Mann, J. J., & Arango, V. (1992). Integration of neurobiology<br />

and psychopathology in a unified model of suicidal behavior.<br />

Journal of Clinical Psychopharmacology, 12(2 Suppl),<br />

2S–7S.<br />

Maris, R. W. (1981). Pathways to suicide. Baltimore, MD: Johns<br />

Hopkins University Press.<br />

Meerwijk, E. L., Ford, J. M., & Weiss, S. J. (2013). Brain regions<br />

associated with psychological pain: Implications for a neural<br />

network and its relationship to physical pain. Brain Imaging<br />

and Behavior, 7(1), 1–14.<br />

Michel, K., & Valach, L. (1997). Suicide as goal-directed action.<br />

Archives of Suicide Research, 3, 213–221.<br />

Nee, D. E., Kastner, S., & Brown, J. W. (2011). Functional heterogeneity<br />

of conflict, error, task-switching, and unexpectedness<br />

effects within medial prefrontal cortex. Neuroimage,<br />

54(1), 528–540.<br />

Orbach, I. (1994). Dissociation, physical pain, and suicide: A<br />

hypothesis. Suicide and Life-Threatening Behavior, 24(1),<br />

68–79.<br />

Orbach, I., Mikulincer, M., Gilboa-Schechtman, E., & Sirota, P.<br />

(2003). Mental pain and its relationship to suicidality and<br />

life meaning. Suicide and Life-Threatening Behavior, 33(3),<br />

231–241.<br />

Orbach, I., Mikulincer, M., Sirota, P., & Gilboa-Schechtman,<br />

E. (2003). Mental pain: A multidimensional operationalization<br />

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and temporal cortex networks underlie decision-making in<br />

the presence of uncertainty. Neuroimage, 13(1), 91–100.<br />

© 2014 Hogrefe Publishing Crisis 2014


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<strong>Editorial</strong><br />

Price, D. D. (2000). Psychological and neural mechanisms of the<br />

affective dimension of pain. Science, 288(5472), 1769–1772.<br />

Reisch, T., Seifritz, E., Esposito, F., Wiest, R., Valach, L., & Michel,<br />

K. (2010). An fMRI study on mental pain and suicidal<br />

behavior. Journal of Affective Disorders, 126(1–2), 321–325.<br />

Rudd, M. D. (2000). The suicidal mode: A cognitive-behavioral<br />

model of suicidality. Suicide and Life-Threatening Behavior,<br />

30(1), 18–33.<br />

Shackman, A. J., Salomons, T. V., Slagter, H. A., Fox, A. S., Winter,<br />

J. J., & Davidson, R. J. (2011). The integration of negative<br />

affect, pain and cognitive control in the cingulate cortex.<br />

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Shneidman, E. S. (1993). Suicide as psychache. Journal of Nervous<br />

and Mental Disease, 181(3), 145–147.<br />

Stanovich, K. E., & West, R. F. (2000). Individual differences in<br />

reasoning: Implications for the rationality debate? Behavioral<br />

and Brain Sciences, 23(5), 645–665; discussion 665–726.<br />

Tossani, E. (2013). The concept of mental pain. Psychotherapy<br />

and Psychosomatics, 82(2), 67–73.<br />

Turecki, G., Ernst, C., Jollant, F., Labonte, B., & Mechawar, N.<br />

(2012). The neurodevelopmental origins of suicidal behavior.<br />

Trends in Neurosciences, 35(1), 14–23.<br />

van Heeringen, K. (2014). Brain imaging: healthy networks for<br />

suicide prevention. Crisis, 35(1), 1–4.<br />

Vogt, B. A. (2005). Pain and emotion interactions in subregions<br />

of the cingulate gyrus. Nature Reviews: Neuroscience, 6(7),<br />

533–544.<br />

Wagner, G., Koch, K., Schachtzabel, C., Peikert, G., Schultz, C.<br />

C., Reichenbach, J. R., … Schlosser, R. G. (2013). Self-referential<br />

processing influences functional activation during cognitive<br />

control: an fMRI study. Social Cognitive and Affective<br />

Neuroscience, 8(7), 828–837.<br />

Williams, J. M., Barnhofer, T., Crane, C., Herman, D., Raes, F.,<br />

Watkins, E., & Dalgleish, T. (2007). Autobiographical memory<br />

specificity and emotional disorder. Psychological Bulletin,<br />

133(1), 122–148.<br />

Williams, J. M., Mathews, A., & MacLeod, C. (1996). The emotional<br />

Stroop task and psychopathology. Psychological Bulletin,<br />

120(1), 3–24.<br />

Accepted nnn, 2014<br />

About the author<br />

Konrad Michel, MD, is affiliated with the University of Bern, and<br />

working in private practice. His main research interest is focused<br />

on clinical suicide prevention, in particular on patient-oriented<br />

models of suicidal behavior, and the therapeutic relationship in<br />

the treatment of suicidal patients. He is the founder of the biennial<br />

Aeschi Conferences.<br />

Konrad Michel<br />

Suicide Research Group<br />

University Hospital of Psychiatry<br />

Murtenstrasse 21<br />

3010 Bern<br />

Switzerland<br />

Tel. +41 31 632-8811<br />

Fax +41 31 632-8950<br />

E-mail konrad.michel@spk.unibe.ch<br />

Crisis 2014<br />

© 2014 Hogrefe Publishing

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