- Research article
- Open Access
- Open Peer Review
Neurocognitive function in bipolar disorder: a comparison between bipolar I and II disorder and matched controls
© Pålsson et al.; licensee BioMed Central Ltd. 2013
- Received: 10 January 2013
- Accepted: 25 May 2013
- Published: 7 June 2013
Cognitive deficits have been documented in patients with bipolar disorder. Further, it has been suggested that the degree and type of cognitive impairment differ between bipolar I and bipolar II disorder, but data is conflicting and remains inconclusive. This study aimed to clarify the suggested differences in cognitive impairment between patients with bipolar I and II disorder in a relatively large, clinically stable sample while controlling for potential confounders.
67 patients with bipolar I disorder, 43 with bipolar II disorder, and 86 randomly selected population-based healthy controls were compared. A number of neuropsychological tests were administered, assessing verbal and visual memory and executive functions. Patients were in a stable phase during testing.
Patients with bipolar type I and type II were cognitively impaired compared to healthy controls, but there were no statistically significant differences between the two subtypes. The strongest predictor of cognitive impairment within the patient group was current antipsychotic treatment.
The present study suggests that the type and degree of cognitive dysfunction is similar in bipolar I and II patients. Notably, treatment with antipsychotics - but not a history of psychosis - was associated with more severe cognitive impairment. Given that patients with bipolar I disorder are more likely to be on antipsychotic drugs, this might explain why some previous studies have found that patients with type I bipolar disorder are more cognitively impaired than those with type II.
- Bipolar Disorder
- Young Mania Rating Scale
- Verbal Fluency Test
- Young Mania Rating Scale Score
- Bipolar Type
Decreased concentration and attention are common complaints among bipolar patients. Such cognitive impairment can be objectively measured with neuropsychological tests . Growing evidence from the last two decades has shown that not only is cognitive dysfunction evident during depressive or manic episodes, but the impairment also persists during the euthymic phases of the illness [2–4]. The cognitive domains most consistently found to be impaired are executive functioning, attention, and verbal memory [5–7].
Although neurocognitive deficits have accordingly been documented in bipolar I disorder, a recently published systematic review  concluded that studies of patients with bipolar disorder type II are inconsistent. Elucidating whether cognitive dysfunction is a general trait across bipolar subtypes or differs between type I and II not only has implications for rehabilitation programs, but would also shed light on the validity of classifying bipolar subtypes and hence pathophysiological research. It has for example been suggested that the bipolar subtypes I and II are qualitatively different entities with different underlying pathophysiology . If this is true, then differing pathophysiology might be mirrored by different patterns of cognitive impairment, which might serve as a more reliable phenotype than categorical diagnoses . In support of this notion, one study found that cognitive dysfunction in bipolar I patients differed not only in magnitude, but also in pattern compared with bipolar II patients . Whereas both subtypes showed deficits in working memory, verbal fluency, and interference control compared to healthy controls, bipolar I patients were more severely impaired overall and showed deficits in verbal learning and verbal memory that were not seen in bipolar II patients. At odds with this notion, however, a second study found quantitative, but no qualitative neurocognitive differences between the bipolar subtypes . In the latter study, bipolar II patients showed an intermediate level of performance in verbal memory and executive functions between bipolar I patients and healthy controls, agreeing with a view where bipolar type I and II represent varying degrees of disease severity on a continuum. Finally, a third study found no differences in neurocognitive function between bipolar type I and type II patients . Here, both bipolar patients type I and type II performed worse than healthy controls in most cognitive domains with the largest effect size in psychomotor speed, working memory, verbal learning, and executive functions. Hence, this last study suggests that cognitive function cannot be used to discriminate between bipolar disorder type I and type II. Apart from these relatively large studies, several smaller studies show worse cognitive performance in bipolar type I compared to bipolar type II patients [14, 15]. However, a recent meta-study also concluded that, with the exception of semantic fluency and visual memory, the cognitive deficits in bipolar II patients are as severe as in bipolar I patients .
Given the inconsistency of available data regarding potential cognitive differences between the two bipolar subtypes I and II, the aim of the present study was to compare the cognitive performance between bipolar disorder type I and bipolar disorder type II patients in a relatively large and clinically stable study sample. An extensive cognitive test battery was used and all patients had a validated diagnosis of bipolar disorder. Confounders, such as ongoing medication, residual mood symptoms or a history of psychosis, were controlled for. For reference, randomly selected population-based age and sex matched healthy controls were recruited. The use of population-based controls is important since control groups recruited among hospital staff, students, or through advertisements confers substantial risk for sample bias.
The present study is part of the St. Göran bipolar project, which provides assessment, treatment, and follow-up of patients with bipolar disorder within the Northern Stockholm Mental Health Service and also serves as a basis for research into bipolar disorder. The methodology has previously been outlined in detail [17–19]. A total of 67 patients with bipolar disorder type I, 43 patients with bipolar disorder type II and 86 controls were included in this study.
Patients were assessed by a psychiatrist or resident in psychiatry using the Affective Disorders Evaluation (ADE), which is a standardized protocol adapted from the Systematic Treatment Enhancement Program of Bipolar Disorder (STEP-BD) . The ADE guides the interviewer through a systematic assessment of the patient's current and past mental state, and provides a diagnosis according to DSM-IV criteria. The number of lifetime affective episodes and their characteristics are documented. Other modules assess alcohol and drug misuse, violent behavior, childhood history, family history, treatment history, reproductive history, and somatic illnesses. Interpersonal violence is defined as a violent act or serious physical threat to another person. Suicide attempt is defined as a deliberate and serious self- injury, including intoxication with medication.
The final diagnosis was established using LEAD (Longitudinal observation by Experts using All Data)  and confirmed by a consensus panel of two to four experienced clinicians. Inclusion criteria for this substudy were bipolar I or II diagnosis. Disease severity was assessed using the clinician rated Global Assessment of Function (GAF) and Clinical Global Impression (CGI) scales [22, 23]. Mood stability was determined by the treating physician's overall diagnostic judgment. The Montgomery-Åsberg depression rating scale (MADRS) and Young Mania rating scale (YMRS) were administered by the neuropsychologist at the first cognitive testing session to assess residual mood symptoms. Patients with MADRS > 14 or YMRS > 14 were not included in this study.
Age- and sex-matched persons for each enrolled patient were selected randomly from the national population register by Statistics Sweden (http://www.scb.se) and contacted by letter. Persons who were interested in participating in the study contacted the study team that conducted a preliminary telephone screening to exclude severe mental health and neurological issues as well as substance abuse. Eligible individuals were scheduled for a one-day comprehensive assessment. Exclusion criteria for controls were: 1) any on-going psychiatric or neurological disorder; 2) current treatment with any psychotropic drugs; 3) past history of bipolar disorder, schizophrenia, recurrent depression or other psychiatric disorder leading to extended sick leave; 4) a first-degree relative with schizophrenia or bipolar disorder; 5) subjects presenting conditions that precluded magnetic resonance imaging of the brain (e.g., metal implants, shrapnel, and certain heart operations). The latter exclusion criterion was due to a planned brain MRI scan for another part of the St. Göran bipolar project. Two of the recruited controls were excluded due to one case of dementia diagnosis and one case of alcohol addiction that was revealed at the examination.
During the one-day assessment, a psychiatrist interviewed eligible control subjects in a semi-structured manner utilizing relevant sections of the ADE and the Mini International Neuropsychiatric Interview (MINI)  as a screen for past and present psychiatric disorders. This included a screen for bipolar illness as well as questions about socio-economic status, use of alcohol and psychoactive substances, history of violent, criminal or suicidal behavior (defined as deliberate and serious self-injury including intoxication with medication). Furthermore, childhood history, family history of psychiatric disorders in first and second-degree relatives, treatment history, reproductive history and somatic illnesses were reviewed. The Mini International Neuropsychiatric Interview (MINI)  was used to screen for other psychiatric disorders than bipolar illness. The GAF was used to assess axis V. Included subjects also completed three self-report questionnaires amongst which were: the Alcohol Use Disorders Identification Test (AUDIT)  and the Drug Use Disorders Identification Test (DUDIT) . Finally, all subjects underwent neuropsychological testing by senior clinical psychology students under supervision of the same experienced clinical psychologist that supervised and conducted testing in the patient group.
Study participants were tested using a number of neuropsychological tests. All tests were administered according to standard instructions. Patients were tested during a stable phase of the disorder. Administering all tests usually required two sessions with patients, whereas all controls were tested during one single session.
Five tests from the Delis-Kaplan Executive function system D-KEFS . The D-KEFS is a standardized set of tests designed to assess executive functions including flexibility of thinking, inhibition, problem solving, planning, impulse control, concept formation, abstract thinking, and creativity. It consists of nine game-like tests that can be administrated as a complete battery or as individual subtests. Here, we chose five out of nine tests: Trail making test, Design fluency test, Verbal fluency test, Color-word interference test, and Tower test. The D-KEFS Trail making test consists of a visual cancellation task and a series of connect-the-circle tasks. The primary executive-function task is condition 4 (number-letter switching), which assesses flexibility of thinking on a visual-motor sequencing task. The other four conditions of this test allow the examiner to evaluate other processes necessary for performing the task, including visual scanning, number sequencing, letter sequencing, and motor speed. The D-KEFS Verbal fluency test measures the ability to generate words fluently in a difficult phonemic format (letter fluency), from overlearned concepts (category fluency), and simultaneously shifting between overlearned concepts (category switching). The test gives information about language skills and verbal processing ability, as well as problem solving. The D-KEFS Design fluency test measures the ability to draw as many different designs as possible in 60 seconds. It comprises 3 conditions. Condition 1 provides a basic test of design fluency, condition 2 measures both design fluency and response inhibition, and condition 3 measures design fluency and cognitive flexibility. Basic skills involved in this test are visual attention, motor speed, visual-perceptual skills, and constructional skills. The executive functions required include visual/ spatial initiation of problem-solving behavior, fluency, creativity, simultaneous processing and inhibiting capacity. D-KEFS Color-word interference test corresponds to the Stroop color word test and primarily measures the ability to inhibit an overlearned verbal response, in this case reading the printed words, and to generate the conflicting response of naming the dissonant ink colors in which the words are printed. This is also a test of cognitive flexibility. The D-KEFS Tower test assesses planning and spatial problem solving abilities such as the ability to inhibit perseverative and impulsive responses. Visual attention and visual-spatial ability are fundamental skills for this task.
Claeson-Dahl learning and memory test was designed to evaluate episodic memory. The test has three dimensions. Initially the subject is asked to learn through hearing a list of ten words. The retention dimension involves remembering as many words as possible from the original list and to remember what order the words was originally read in. Finally, in the recognition dimension, the test person is asked to recognize the words from the list among similar distractors.
In the Rey complex figure test, the test person is asked to reproduce a complicated drawing, initially by copying and by recall. The test draws on cognitive domains such as memory, visuospatial ability, attention processes, planning ability, and incidental learning.
Group-wise comparisons were done using ANOVA for continuous variables and chi-square tests for dichotomous variables. Bonferroni post hoc tests were used where relevant. Associations between cognitive performance and other variables were tested using Pearson correlation or forward selection stepwise linear regression modelling. Two-tailed levels of significance were used and p < 0.05 was considered statistically significant.
All participating patients and control subjects consented orally and in writing to participate in the study. The project was approved by the Stockholm Regional Ethical Review Board and conducted in accordance with the latest version of the Helsinki Protocol. The healthy subjects received remuneration for their participation.
Demographic and clinical characteristics of the study sample
Control (N = 86)
Bipolar I (N = 67)
Bipolar II (N = 43)
Age, years: mean (SD)
Gender (male / female)
39 / 47
32 / 35
16 / 27
Educational level,1-5: mean (SD)a
Age of onset: mean (SD)
Prior psychotic symptoms: N (%)
Suicide attempt: N (%)
Interpersonal violence: N (%)
MADRS: mean (SD)
YMRS: mean (SD)
Lifetime number of manic episodes: mean (SD)
Lifetime number of depressive episodes: mean (SD)
CGI: mean (SD)
Pharmacological treatment, N (%)
All bipolar patients versus controls
Performance on neuropsychological tests for patients with bipolar disorder type I, type II and healthy controls with data presented as mean (SD) scores
Bipolar I (BPI)
Bipolar II (BPII)
Bonferroni post hoc test
BPI vs C
BPII vs C
BPI vs BPII
N = 57
N = 42
N = 84
N = 60
N = 40
N = 82
BPI, BPII < C
Inhibition and set-shifting
BPI < C
N = 65
N = 40
N = 84
Connect the dots
BPI, BPII < C
Rey Complex Figure 3
N = 60
N = 42
N = 80
Time to draw figure
BPI > C
BPI < C
30 minute recall
BPI, BPII < C
N = 58
N = 35
N = 56
BPI < C
Time first move
BPI, BPII < C
Time per move
BPI, BPII < C
N = 65
N = 41
N = 85
BP, BPII < C
BPI < C
BPI, BPII < C
N = 65
N = 43
N = 83
BPI < C
BPI, BPII < C
BPI, BPII < C
Bipolar disorder type I versus type II
There were no statistically significant differences between bipolar I and bipolar II patients. Bipolar I patients did show an overall tendency towards more impairment as demonstrated by the post-hoc tests and magnitude of effect sizes.
To reduce the number of comparisons, further analysis was restricted to those neuropsychological test variables where a significant difference between patients groups and the control groups was demonstrated. Since no significant differences were shown between patients with type I and type II bipolar disorder, the patient samples were pooled for the remaining analyses. Treatments with psychotropic drugs, residual mood symptoms and a history of psychosis have all previously been shown to influence cognitive performance. Linear regression analysis using a step-wise procedure with the most prevalent drug classes in the patient group, history of psychotic symptoms and MADRS and YMRS scores as independent and neuropsychological test scores as dependent variables were performed. Anxiety disorder or ADHD diagnosis were also included to control for co-morbidity.
Performance on neuropsychological tests and patient data
Inhibition and set-shifting
Rey complex figure
Time to draw figure 1
There are three main findings in the present study. First, the study confirmed previous findings that clinically stable patients with bipolar disorder showed impairment in inhibition, in set-shifting, in verbal fluency and in visual recall compared to healthy age-matched controls. Bipolar patients also gave more rapid responses during the Tower test and showed impulsivity on the Color-word test, yet were slower in drawing the Rey figure. Second, there were no major differences between the type I and type II subtypes of bipolar disorder. Third, treatment with antipsychotic drugs was associated with worse performance in verbal fluency, in inhibition, in set-shifting and a longer time to draw the Rey figure.
The patient group as a whole thus performed worse than controls on all the included tests from the D-KEFS battery. These tests tap different aspects of executive function and hence confirm previously observed deficits in several aspects of executive function including response inhibition, attention, working memory, cognitive flexibility, and spatial planning . Further, patients performed worse on both the immediate recall and recognition parts of the Rey complex figure test. This was less apparent in the Claeson-Dahl test, which indicated reduced performance on visual but not verbal memory tasks. However, this finding may be confounded by differences in test sensitivity and the Claeson-Dahl test may not be a demanding enough test to detect verbal learning and memory deficits in the present patient sample. Other tests, such as the California verbal learning task may provide more sensitive alternatives .
Pertaining to the putative differences between bipolar I and II disorder, we observed no statistically significant differences. This is in line with the study by Dittmann et al.  and a recent study by Xu et al. , but conflicts the results by Torrent et al.  and Simonsen et al. . One possible explanation for these conflicting findings is that the results are confounded by antipsychotic medication. In the present study, antipsychotic medication was coupled to significantly lower cognitive performance. This corroborates previous studies that have demonstrated that antipsychotics may have adverse effects on cognitive function in patients with bipolar disorder [30–32]. Given that bipolar I patients are more frequently treated with antipsychotics than bipolar II patients, this may be part of the explanation for previous observations of greater cognitive impairment in type I as compared to type II bipolar disorder.
A number of studies have linked psychotic features to more chronic and severe presentations of bipolar disorder . Since impaired neurocognitive function has been linked to poor functional outcome, psychotic features and cognitive dysfunction may be connected. A recent study comparing psychotic and non-psychotic patients with schizophrenia, schizoaffective disorder, and bipolar disorder found that a history of psychosis was a stronger predictor than diagnostic group of neuropsychological test performance . However, due to an almost complete overlap between history of psychosis and treatment with antipsychotic medication in that study, it was not possible to rule out an effect of antipsychotic drugs in that study.
Importantly and at odds with previous findings, we did not observe any association between previous psychotic symptoms and cognitive performance. In the present study, the overlap between history of psychosis and treatment with antipsychotic medication was only partial and could therefore be statistically controlled for. Indeed, our findings suggest that current treatment with antipsychotic medication predict neurocognitive test performance better than history of psychotic symptoms. Of interest is also the fact that the doses of antipsychotics in our study were low to moderate (data not shown), making this association all the more clinically important when deciding on treatment.
Strengths and limitations
A particular strength of the present study is the population-based control sample. Comparisons between healthy controls and patients may be biased if the controls are unrepresentative of the general population. The use of a population-based control sample from the same catchment area indicates that the observed differences are unlikely to be the result of sampling bias, but reflect actual differences in neurocognitive function between patients and controls. Further, the meticulous diagnostic assessment ensures that the division in bipolar I and II disorder is as accurate as possible. However, it should be noted that the diagnostic procedure used here as not been analysed for reliability estimates which somewhat limits the conclusions that can be drawn regarding diagnostic accuracy. The sample is sufficiently large to avoid type II errors . Finally, the present study used an extensive test battery providing a broad neurocognitive profiling.
With regards to the previous studies on cognitive function in bipolar II disorder our patient sample had a relatively young age of onset, 20 years versus approximately 28–30 years [11–13]. To a lesser extent this was also true for the bipolar I group with a mean age of onset of 19 years versus 24–28 years in previous studies. However, the mean age at first episode in our patient group was comparable to previously published demographic data . Earlier age of onset has been linked to a more severe form of the disorder [36, 37], although a late onset has been linked to a more pronounced cognitive deficit .
The cut-off for present mood symptoms used in this study was less strict than previous studies and lingering mood symptoms may influence cognitive test performance . However, the mean scores for MADRS and YMRS were well below a more strict definition of euthymia  and the present study failed to demonstrate meaningful correlations between residual depressive symptoms and cognitive function. For residual manic symptoms, we observed a negative correlation between performance on the Verbal fluency test and YMRS score. Previous studies on neurocognitive function bipolar II disorder have found small  or no [11, 13] effects of subsyndromal depressive and manic symptoms on cognitive function.
Our findings regarding the effects of current medication may be confounded by the fact that most patients are treated with more than one class of psychotropic medication. However, our analysis of combination therapy did not indicate any such effects. In addition, medication may obscure the influence of other factors, e.g., psychotic symptoms that may otherwise have been correlated with cognitive test scores. The fact that our study was cross-sectional also limits the conclusions that can be drawn regarding the relationship between cognitive function and clinical variables or treatment. Future longitudinal studies on the present patient sample may provide valuable information on the progression and significance of neurocognitive dysfunctions in the clinical setting.
In conclusion, we found similar types and degrees of cognitive dysfunction in bipolar I and bipolar II patients as compared to healthy controls. Overall, the magnitude and cognitive domains affected are in agreement with previously published work on euthymic bipolar patients. We also found a greater degree of impairment in patients treated with antipsychotics, but no correlation between history of psychosis and cognitive function.
The patients participating in this study are gratefully acknowledged. The authors also thank the staff at the St. Göran bipolar unit for the diagnostic assessments and enrolling patients for this study; study coordinators Martina Wennberg and Haydeh Olofsson, and study nurse Agneta Carswärd-Kjellin for their skillful assistance. Financial support was provided through the regional agreement on medical training and clinical research between Stockholm County Council and the Karolinska Institutet (ALF 20100305), the agreement concerning research and education of doctors in Gothenburg (72630), through grants from the Swedish Medical Research Council (K2008-62×-14647-06-3, K2010-61X-21569-01-1, and K2010-61P-21568-01-4), and the Brain foundation.
- Martinez-Aran A, Vieta E, Colom F, Torrent C, Reinares M, Goikolea JM, Benabarre A, Comes M, Sanchez-Moreno J: Do cognitive complaints in euthymic bipolar patients reflect objective cognitive impairment?. Psychother Psychosom. 2005, 74 (5): 295-302.View ArticlePubMedGoogle Scholar
- Tham A, Engelbrektson K, Mathe AA, Johnson L, Olsson E, Aberg-Wistedt A: Impaired neuropsychological performance in euthymic patients with recurring mood disorders. J Clin Psychiatry. 1997, 58 (1): 26-29.View ArticlePubMedGoogle Scholar
- Robinson LJ, Thompson JM, Gallagher P, Goswami U, Young AH, Ferrier IN, Moore PB: A meta-analysis of cognitive deficits in euthymic patients with bipolar disorder. J Affect Disord. 2006, 93 (1–3): 105-115.View ArticlePubMedGoogle Scholar
- Bauer MS, Calabrese J, Dunner DL, Post R, Whybrow PC, Gyulai L, Tay LK, Younkin SR, Bynum D, Lavori P, et al: Multisite data reanalysis of the validity of rapid cycling as a course modifier for bipolar disorder in DSM-IV. Am J Psychiatry. 1994, 151 (4): 506-515.View ArticlePubMedGoogle Scholar
- Martinez-Aran A, Vieta E, Colom F, Torrent C, Sanchez-Moreno J, Reinares M, Benabarre A, Goikolea JM, Brugue E, Daban C, et al: Cognitive impairment in euthymic bipolar patients: implications for clinical and functional outcome. Bipolar Disord. 2004, 6 (3): 224-232.View ArticlePubMedGoogle Scholar
- Thompson JM, Gallagher P, Hughes JH, Watson S, Gray JM, Ferrier IN, Young AH: Neurocognitive impairment in euthymic patients with bipolar affective disorder. Br J Psychiatry. 2005, 186: 32-40.View ArticlePubMedGoogle Scholar
- Bora E, Yucel M, Pantelis C: Cognitive endophenotypes of bipolar disorder: a meta-analysis of neuropsychological deficits in euthymic patients and their first-degree relatives. J Affect Disord. 2009, 113 (1–2): 1-20.View ArticlePubMedGoogle Scholar
- Sole B, Martinez-Aran A, Torrent C, Bonnin CM, Reinares M, Popovic D, Sanchez-Moreno J, Vieta E: Are bipolar II patients cognitively impaired? A systematic review. Psychol Med. 2011, 41 (9): 1791-803.View ArticlePubMedGoogle Scholar
- Vieta E, Gasto C, Otero A, Nieto E, Vallejo J: Differential features between bipolar I and bipolar II disorder. Compr Psychiatry. 1997, 38 (2): 98-101.View ArticlePubMedGoogle Scholar
- Harvey PD, McClure MM, Patterson TL, McGrath JA AEP, Bowie CR, Siever LJ: Impairment in functional capacity as an endophenotype candidate in severe mental illness. Schizophr Bull. 2011, 38 (6): 1318-26.View ArticlePubMedPubMed CentralGoogle Scholar
- Simonsen C, Sundet K, Vaskinn A, Birkenaes AB, Engh JA, Hansen CF, Jonsdottir H, Ringen PA, Opjordsmoen S, Friis S, et al: Neurocognitive profiles in bipolar I and bipolar II disorder: differences in pattern and magnitude of dysfunction. Bipolar Disord. 2008, 10 (2): 245-255.View ArticlePubMedGoogle Scholar
- Torrent C, Martinez-Aran A, Daban C, Sanchez-Moreno J, Comes M, Goikolea JM, Salamero M, Vieta E: Cognitive impairment in bipolar II disorder. Br J Psychiatry. 2006, 189: 254-259.View ArticlePubMedGoogle Scholar
- Dittmann S, Hennig-Fast K, Gerber S, Seemuller F, Riedel M, Emanuel Severus W, Langosch J, Engel RR, Moller HJ, Grunze HC: Cognitive functioning in euthymic bipolar I and bipolar II patients. Bipolar Disord. 2008, 10 (8): 877-887.View ArticlePubMedGoogle Scholar
- Chang JS, Choi S, Ha K, Ha TH, Cho HS, Choi JE, Cha B, Moon E: Differential pattern of semantic memory organization between bipolar I and II disorders. Prog Neuropsychopharmacol Biol Psychiatry. 2011, 35 (4): 1053-1058.View ArticlePubMedGoogle Scholar
- Hsiao YL, Wu YS, Wu JY, Hsu MH, Chen HC, Lee SY, Lee IH, Yeh TL, Yang YK, Ko HC, et al: Neuropsychological functions in patients with bipolar I and bipolar II disorder. Bipolar Disord. 2009, 11 (5): 547-554.View ArticlePubMedGoogle Scholar
- Bora E, Yucel M, Pantelis C, Berk M: Meta-analytic review of neurocognition in bipolar II disorder. Acta Psychiatr Scand. 2011, 123 (3): 165-174.View ArticlePubMedGoogle Scholar
- Ekman CJ, Lind J, Ryden E, Ingvar M, Landen M: Manic episodes are associated with grey matter volume reduction - a voxel-based morphometry brain analysis. Acta Psychiatr Scand. 2010, 122 (6): 507-515.View ArticlePubMedGoogle Scholar
- Ryden E, Johansson C, Blennow K, Landen M: Lower CSF HVA and 5-HIAA in bipolar disorder type 1 with a history of childhood ADHD. J Neural Transm. 2009, 116 (12): 1667-1674.View ArticlePubMedGoogle Scholar
- Ryden E, Thase ME, Straht D, Aberg-Wistedt A, Bejerot S, Landen M: A history of childhood attention-deficit hyperactivity disorder (ADHD) impacts clinical outcome in adult bipolar patients regardless of current ADHD. Acta Psychiatr Scand. 2009, 120 (3): 239-246.View ArticlePubMedGoogle Scholar
- Sachs GS, Thase ME, Otto MW, Bauer M, Miklowitz D, Wisniewski SR, Lavori P, Lebowitz B, Rudorfer M, Frank E, et al: Rationale, design, and methods of the systematic treatment enhancement program for bipolar disorder (STEP-BD). Bio psychiatry. 2003, 53 (11): 1028-1042.View ArticleGoogle Scholar
- Spitzer RL: Psychiatric diagnosis: are clinicians still necessary?. Compr Psychiatry. 1983, 24 (5): 399-411.View ArticlePubMedGoogle Scholar
- Guy W: ECDEU Assessment Manual for Psychopharmacology. Edited by: Department of Health EaW. 1976, Rockville, Md: U.S. Dept. of Health, Education, and Welfare, Public Health Service, Alcohol, Drug Abuse, and Mental Health Administration, National Institute of Mental Health, Psychopharmacology Research Branch, Division of Extramural Research Programs, 218-222.Google Scholar
- Luborsky L: Clinician's judgments of mental health. Arch Gen Psychiatry. 1962, 7: 407-417.View ArticlePubMedGoogle Scholar
- Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, Hergueta T, Baker R, Dunbar GC: The mini-international neuropsychiatric interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry. 1998, 20 (59 Suppl): 22-22–33;quiz 34–57Google Scholar
- Saunders JB, Aasland OG, Babor TF, de la Fuente JR, Grant M: Development of the alcohol Use disorders identification test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption–II. Addiction. 1993, 88 (6): 791-804.View ArticlePubMedGoogle Scholar
- Berman AH, Bergman H, Palmstierna T, Schlyter F: Evaluation of the drug Use disorders identification test (DUDIT) in criminal justice and detoxification settings and in a swedish population sample. Eur Addict Res. 2005, 11 (1): 22-31.View ArticlePubMedGoogle Scholar
- Delis DC, Kaplan E, Kramer JH: Delis-kaplan executive function system (D-KEFS). 2001, San Antonio: The Psychological CorporationGoogle Scholar
- McLaughlin J, Roozendaal B, Dumas T, Gupta A, Ajilore O, Hsieh J, Ho D, Lawrence M, McGaugh JL, Sapolsky R: Sparing of neuronal function postseizure with gene therapy. Proc Natl Acad Sci USA. 2000, 97 (23): 12804-12809.View ArticlePubMedPubMed CentralGoogle Scholar
- Xu G, Lin K, Rao D, Dang Y, Ouyang H, Guo Y, Ma J, Chen J: Neuropsychological performance in bipolar I, bipolar II and unipolar depression patients: a longitudinal, naturalistic study. J Affect Disord. 2012, 136 (3): 328-339.View ArticlePubMedGoogle Scholar
- Arts B, Jabben N, Krabbendam L, van Os J: A 2-year naturalistic study on cognitive functioning in bipolar disorder. Acta Psychiatr Scand. 2011, 123 (3): 190-205.View ArticlePubMedGoogle Scholar
- Torrent C, Martinez-Aran A, Daban C, Amann B, Balanza-Martinez V, Del Mar Bonnin C, Cruz N, Franco C, Tabares-Seisdedos R, Vieta E: Effects of atypical antipsychotics on neurocognition in euthymic bipolar patients. Compr Psychiatry. 2011, 52 (6): 613-22.View ArticlePubMedGoogle Scholar
- Sapolsky RM: Glucocorticoids and hippocampal atrophy in neuropsychiatric disorders. Arch Gen Psychiatry. 2000, 57 (10): 925-935.View ArticlePubMedGoogle Scholar
- Tohen M, Waternaux CM, Tsuang MT: Outcome in Mania. A 4-year prospective follow-up of 75 patients utilizing survival analysis. Arch Gen Psychiatry. 1990, 47 (12): 1106-1111.View ArticlePubMedGoogle Scholar
- Simonsen C, Sundet K, Vaskinn A, Birkenaes AB, Engh JA, Faerden A, Jonsdottir H, Ringen PA, Opjordsmoen S, Melle I, et al: Neurocognitive dysfunction in bipolar and schizophrenia spectrum disorders depends on history of psychosis rather than diagnostic group. Schizophr Bull. 2011, 37 (1): 73-83.View ArticlePubMedGoogle Scholar
- Kupfer DJ, Frank E, Grochocinski VJ, Cluss PA, Houck PR, Stapf DA: Demographic and clinical characteristics of individuals in a bipolar disorder case registry. J Clin Psychiatry. 2002, 63 (2): 120-125.View ArticlePubMedGoogle Scholar
- Carter TD, Mundo E, Parikh SV, Kennedy JL: Early age at onset as a risk factor for poor outcome of bipolar disorder. J Psychiatr Res. 2003, 37 (4): 297-303.View ArticlePubMedGoogle Scholar
- Suppes T, Leverich GS, Keck PE, Nolen WA, Denicoff KD, Altshuler LL, McElroy SL, Rush AJ, Kupka R, Frye MA, et al: The stanley foundation bipolar treatment outcome network. II. Demographics and illness characteristics of the first 261 patients. J Affect Disord. 2001, 67 (1–3): 45-59.View ArticlePubMedGoogle Scholar
- Yusim A, Franklin L, Brooke S, Ajilore O, Sapolsky R: Glucocorticoids exacerbate the deleterious effects of gp120 in hippocampal and cortical explants. J Neurochem. 2000, 74 (3): 1000-1007.View ArticlePubMedGoogle Scholar
- Clark L, Iversen SD, Goodwin GM: Sustained attention deficit in bipolar disorder. Br J Psychiatry. 2002, 180: 313-319.View ArticlePubMedGoogle Scholar
- Thompson JM, Gray JM, Hughes JH, Watson S, Young AH, Ferrier IN: Impaired working memory monitoring in euthymic bipolar patients. Bipolar Disord. 2007, 9 (5): 478-489.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-244X/13/165/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.