Abstract
Although we have gained enormous insights into neurobiological and psychological underpinnings of bipolar disorder (BD) symptoms, our knowledge concerning pathogenic mechanisms initiating recurrent affective episodes is still fragmentary. Previous research has highlighted the role of significant life events and social rhythm in recurrent episodes of mania and depression. However, most studies share the drawback of retrospective self-report data, which are prone to recall biases and limited introspective abilities. Therefore, more objective data, such as neuropsychological and neurobiological measures are needed to further unravel the pathogenic mechanisms of the dynamics of bipolar disorder. Previous research has highlighted disturbed emotional reactivity as well as impaired emotion regulation and impulse control as major behavioural characteristics of BD and aberrancies in prefrontal–limbic–striatal networks that have been proposed to be the correlates of these behavioural alterations. However, longitudinal studies assessing these neural and behavioural alterations are rare. Future research should therefore adopt prospective study designs including behavioural and neuroimaging measures underlying cognitive, emotional and motivational deficits in bipolar disorder. Particularly, these measures should be collected continuously at multiple time points as implemented in modern ambulatory assessment tools.
Key words: Biological markers, bipolar disorder, brain imaging techniques, prospective study
Bipolar disorder (BD) is a highly severe and chronic mental condition with a lifetime prevalence of 2–4% for its most common subtypes (i.e., type I/II). Given the chronic and episodic course of the disease the prediction of recurrent manic and depressive episodes is a major, though not adequately resolved clinical and research question. On a phenomenological level the disease is characterised by phases of (hypo)mania, a state of elevated mood, increased energy, risk-taking and reduced sleep and phases of depression, best described by feelings of sadness, hopelessness, loss of energy and reduced sensitivity to positive outcomes. It has been proposed that increased emotional reactivity, deficient emotion regulation and impulse control as well as motivational dysregulation are important mechanisms underlying these symptoms (Wessa et al. 2014).
BD is considered among the ten most important causes of disease burden worldwide (Whiteford et al. 2013) and has been judged the most expensive behavioural health care diagnosis. Hence, it is an important finding that the number of previous episodes and hospitalisations due to full-blown manic and depressive episodes predicts poor functional outcome, more severe cognitive impairments and worse prognosis, as indicated by higher rates of suicidal behaviour (Table 1, Ref. 1, 2). Therefore targeted and tailored improved prevention with respect to relapse into illness episodes would reduce the financial impact of this disease, decrease illness burden for patients and their families and improve patients’ social, occupational and cognitive functioning.
Table 1.
Study | Sample | Type of study | Assessment/diagnostics | Findings |
---|---|---|---|---|
Significant predictors of recurrent illness episodes in BD | ||||
Martinez-Aran et al. (2004) | 40 euthymic BD patients 30 HC |
Cross-sectional study | Neuropsychological test battery on premorbid IQ, attention, verbal learning and memory and frontal executive functioning; symptomatology | Euthymic BD patients showed impairments in memory and executive functions. Verbal memory impairment was associated with worse functional outcome, longer illness duration, increased number of manic episodes and prior psychotic symptoms |
Finseth et al. (2012) | 140 BD-I patients 66 BD-II patients |
Retrospective, cross-sectional study | Network Entry Questionnaires including questions on demographic and clinical variables describing the course of the illness, PANSS | Number of hospitalisations due to depression was a significant risk factors of suicide attempts as well as comorbid alcohol/substance use and a history of antidepressant medication- and⁄or alcohol-induced affective episodes |
Martino et al. (2009) | 35 euthymic BD patients | Prospective, neuropsychological study | Neurocognitive Battery (verbal memory, attention, executive functions) at study entry; life chart assessment during 12 month follow up; GAF and FAST assessment after 12 months | Predictors of functional outcome: impairments in verbal memory and attention, subsyndromal depressive symptomatology (43% variance explanation) |
Martino et al. (2013) | 70 euthymic BD patients | Prospective neuropsychological study | Neurocognitive assessment at study entry and division into impaired and not-impaired group; life chart assessment during around 16 months | Patients with impairments in at least one neurocognitive domain showed higher risk to develop a recurrent illness phase compared with non-impaired patients |
Sierra et al. (2007) | – | Literature review | Search of studies on prodromes preceding both manic and depressive phases | Most common prodromes for mania: increased activity, elevated mood, decreased need for sleep, more talkative, racing thoughts, increased self-esteem, distractibility, increased sex-drive, increased spending, irritability and alcohol abuse Most common prodromes for bipolar depression: depressive mood, loss of energy, concentration difficulties, negative thinking, decreased sleep, increased sleep, loss of interest in activities, weight loss, loss of appetite, alcohol abuse and suicidal ideas |
Ambulatory assessment studies | ||||
Knowles et al. (2007) | 18 euthymic BD patients 16 MDD patients 19 HC |
Diary study over 1 week | Self-esteem, positive and negative affect were assessed twice a day over 1 week | Greater instability of affect and self-esteem in remitted bipolar patients as compared with unipolar patients and controls |
Havermans et al. (2010) | 38 euthymic BD patients 38 HC |
Experience sampling approach over 6 days | Negative and positive mood states and their reactivity to daily hassles and uplifts | In BD patients mean level of negative affect was higher and positive effect lower compared with healthy controls, reactivity to daily hassles was comparable in both groups; subsyndromal depression increased perceived stress |
Gruber et al. (2013) | 31 euthymic BD-I patients 21 remitted MDD patients 32 HC |
Experience sampling approach over 6 days | Consecutive assessment of emotionality (positive and negative) and use of emotion regulation strategies | BD-I patients showed increased positive and increased negative emotionality and increased efforts to regulate emotions in everyday life |
Myin-Germeys et al. (2003) | 42 NAP patients 38 BD patients 46 MDD patients 49 HC |
Experience sampling approach | subjective stress reactivity daily hassles, emotional reactivity: changes in positive and negative affect | MDD patients showed an increase in negative affect and BD patients a decrease in positive affect in response to individually perceived stressful situations, whereas NAP patients reported both an increase in negative and decrease in positive affect |
NAP = non-affective psychosis; HC = healthy controls.
The research on inter-episode prodromal symptoms in BD is half a century old and ever since, a few predictors and a number of consistent early signs of recurrent episodes have been identified. Most robustly, relapse is predicted by significant life events (Christensen et al., 2003), but social rhythm disturbances have also been linked to the initiation of recurrent manic episodes (Levenson et al. 2013). Further, previous research suggests several early predictive signs for the onset of mania (e.g., reduced need for sleep, increased energy, racing thoughts, overspending and distractibility), depression (e.g., sadness; slowness of movements, talking less and loss of energy) or both illness phases (mood liability, irritability) (Table 1, Ref. 5).
Most of these studies are focused on retrospective self-report data, which imply two important methodological limitations: (1) recall biases and (2) restriction of introspective abilities. To prevent recall biases, real-time reports of symptoms by so-called ‘ambulatory assessment (AA) methods’ have been proposed to prospectively capture the dynamics of symptoms in chronic mental disorders (Trull & Ebner-Priemer, 2013). In the long run, their application is therefore considered worthwhile in predicting recurrent symptoms and preventing full-blown episodes. In BD research, a handful of studies used such AA methods, suggesting increased intra-individual variability particularly in positive affect and self-esteem measures in BD patients, which distinguished these patients not only from healthy controls but also from patients with major depressive disorder (MDD) (Table 1, Ref. 6). Such increased variability could also explain seemingly contradictory findings of both generally reduced positive affect and greater positive emotionality in BD patients compared with controls (Table 1, Ref.7, 8). Further, BD patients showed a marked decrease in positive affect when stressed whereas MDD patients displayed a significant increase of negative affect to stress (Table 1, Ref. 9). These studies provide an important insight into the dynamics of symptoms in BD. However, so far no published AA study has used a prospective design relating to these dynamics recurrence of affective episodes.
Further, we might overcome the issue of limited capability to introspection mentioned above using cognitive, neuropsychological or even neurobiological measures as predictors of recurrent episodes. This has already been done in two studies revealing neuropsychological measures that predict functional outcome or recovery in BD patients (Table 1, Ref. 3). Moreover, the authors showed that patients with impairments in at least one cognitive domain had higher risk to experience a recurrent episode in a shorter time interval (Table 1, Ref. 4). Based on these results, the combination of neuropsychological measures and (repeated) ambulatory assessment appears extremely promising to detect mechanisms predicting the switch into an affective episode.
On a neurobiological level, aberrancies in prefrontal–limbic–striatal networks have been proposed to be the correlate of various aetiological mechanisms of the disease (Phillips & Swartz, 2014), such as disturbed emotional reactivity, impaired emotion regulation (Wessa et al. 2014) and impulse control (Swann et al. 2009). However, longitudinal data concerning these neural alterations capturing the dynamics of BD is rare. The few existing studies indicate decreased prefrontal activation and/or decreased negative connectivity between prefrontal and limbic brain regions during elevated mood (e.g., Strakowski et al. 2011; Cerullo et al. 2012), whereas depression is associated with increased activity and connectivity between brain regions mediating emotional appraisal such as insula and amygdala (e.g., Cerullo et al. 2012). This pattern is also in line with the assumption that deficits in impulse control known to be mediated by prefrontal brain structures that represent a main feature of mania although increased impulsivity has also been observed across illness phases (e.g., Swann et al. 2009). To this end, a very recent longitudinal study investigated a group of bipolar patients in euthymic, manic and depressed states. Here, independent of the symptomatic state, all patients showed decreased activation of the cognitive control network during an emotional conflict task (Rey et al. 2014), with a stronger decrease during mania. During euthymia, this decreased response to conflict was only observed during difficult as compared to all task levels in manic and depressed patients.
The present findings underline that we currently face a gap in BD research that only begins to consider the dynamics of recurrent episodes. ‘Since the biology, as the symptoms, fluctuates in time’ a paradigm shift towards neurobiological assessment at multiple time points over the course of the disease is indispensible, as pointed out in a recent editorial of this journal (Vol. 23, p. 211). Despite considerable challenges when investigating large cohorts of patients over the course of bipolar illness, future research should adopt prospective study designs including behavioural and neuroimaging measures underlying cognitive, emotional and motivational deficits in BD.
Acknowledgement
MW wishes to thank Aleksandra Kaurin and Thomas Kubiak for helpful comments on the topic of this editorial.
Financial Support
This research was supported by a grant to MW from the Deutsche Forschungsgemeinschaft (We3638/3-1).
Conflict of Interest
None.
Ethical Statement
The authors declare that no human or animal experimentation was conducted for this work.
This Section of Epidemiology and Psychiatric Sciences regularly appears in each issue of the Journal to stress the relevance of epidemiology for behavioural neurosciences, reporting the results of studies that explore the use of an epidemiological approach for providing a better understanding of the neural basis of major psychiatric disorders and, in turn, the utilisation of the behavioural neurosciences for promoting innovative epidemiological research.
The final scope is to help the translation of most relevant research findings into every-day clinical practice. These contributions are written in house by the journal's editorial team or commissioned by the Section Editor (no more than 1000 words, short unstructured abstract, 4 key-words, one Table or Figure and up to ten references).
Paolo Brambilla, Section Editor
References
- Cerullo MA, Fleck DE, Eliassen JC, Smith MS, DelBello MP, Adler CM, Strakowski SM (2012). A longitudinal functional connectivity analysis of the amygdala in bipolar I disorder across mood states. Bipolar Disorders 14, 175–184. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Christensen EM, Gjerris A, Larsen JK, Bendtsen BB, Larsen BH, Rolff H, Ring G, Schaumburg E (2003). Life events and onset of a new phase in bipolar affective disorder. Bipolar Disorders 5, 356–361. [DOI] [PubMed] [Google Scholar]
- Finseth PI, Morken G, Andreassen OA, Malt UF & Vaaler AE (2012). Risk factors related to lifetime suicide attempts in acutely admitted bipolar disorder inpatients. Bipolar Disorders 14, 727–734. [DOI] [PubMed] [Google Scholar]
- Gruber F, Kogan A, Mennin D & Murray G (2013). Real-world emotion? An experience-sampling approach to emotion experience and regulation in bipolar I disorder. Journal of Abnormal Psychology 122, 971–983. [DOI] [PubMed] [Google Scholar]
- Havermans C, Nicolson NA, Berkhof & deVries MW (2010). Mood reactivity to daily events in patients with remitted bipolar disorder. Psychiatry Research 179, 47–52. [DOI] [PubMed] [Google Scholar]
- Knowles Z, Tai S, Jones SH, Highfield J, Morriss R & Bentall RP (2007). Stability of self-esteem in bipolar disorder: comparisons among remitted bipolar patients, remitted unipolar patients and healthy controls. Bipolar Disorders 9, 490–495. [DOI] [PubMed] [Google Scholar]
- Levenson JC, Nusslock R, Frank E (2013). Life events, sleep disturbance, and mania: an integrated model. Clinical Psychology: Science and Practice 20, 195–210. [Google Scholar]
- Martinez-Aran A, Vieta E, Colom F, Torrent C, Sanchez-Moreno J, Reinares M, Benabarre A, Goikolea JM, Brugué E, Daban C & Salamero M (2004). Cognitive impairment in euthymic bipolar patients: implications for clinical and functional outcome. Bipolar Disorders 6, 224–232. [DOI] [PubMed] [Google Scholar]
- Martino BD et al. (2009). Neurocognitive and symptomatic predictors of functional outcome in bipolar disorders: a prospective 1 year follow-up study. Journal of Affective Disorders 116, 37–42. [DOI] [PubMed] [Google Scholar]
- Martino DJ, Strejilevich SA, Marengo E, Igoa A, Fassi G, Teitelbaum J & Caravotta P (2013). Relationship between neurocognitive functioning and episode recurrences in bipolar disorder. Journal of Affective Disorder 147, 345–351. [DOI] [PubMed] [Google Scholar]
- Myin-Germeys I, Peeters F, Havermans R, Nicolson NA, deVries MW, Delespaul P & van OS J (2003). Emotional reactivity to daily life stress in psychosis and affective disorder: an experience sampling study. Acta Psychiatrica Scandinavica 107, 124–131. [DOI] [PubMed] [Google Scholar]
- Phillips ML, Swartz HA (2014). A critical appraisal of neuroimaging studies of bipolar disorder: toward a new conceptualization of underlying neural circuitry and a road map for future research. American Journal of Psychiatry. doi: 10.1176/appi.ajp.2014.13081008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rey G, Desseilles M, Favre S, Dayer A, Piguet C, Aubry J-M, Vuilleumier P (2014). Modulation of brain response to emotional conflict as a function of current mood in bipolar disorder: preliminary findings from a follow-up state-based fMRI study. Psychiatry Research: Neuroimaging 223, 84–93. [DOI] [PubMed] [Google Scholar]
- Sierra P, Livianos L, Arques S, Castelló J & Rojo L et al. (2007). Prodromal symptoms to relapse in bipolar disorder. Australian and New Zealand Journal of Psychiatry 41, 385–391. [DOI] [PubMed] [Google Scholar]
- Strakowski SM, Eliassen JC, Lamy M, Cerullo MA, Allendorfer JB, Madore M, Lee JH, Welge JA, DelBello MP, Fleck DE, Adler CM (2011). Functional magnetic resonance imaging brain activation in bipolar mania: evidence for disruption of the ventrolateral prefrontal-amygdala emotional pathway. Biological Psychiatry 69, 381–388. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Swann AC, Lijffijt M, Lane SD, Steinberg JL, Moeller FG (2009). Increased trait-like impulsivity and course of illness in bipolar disorder. Bipolar Disorders 11, 280–288. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Trull TJ, Ebner-Priemer U (2013). Ambulatory assessment. Annual Review of Clinical Psychology 9, 151–176. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wessa M, Kanske P, Linke J (2014). Bipolar disorder: a neural network perspective on a disorder of emotion and motivation. Restorative Neurology and Neuroscience 32, 51–62. [DOI] [PubMed] [Google Scholar]
- Whiteford HA, Degenhardt L, Rehm J, Baxter AJ, Ferrari AJ, Erskine HE, Charlson FJ, Norman RE, Flaxman AD, Johns N, Burstein R, Murray CJ, Vos T (2013). Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. Lancet 382, 1575–1586. [DOI] [PubMed] [Google Scholar]