INTRODUCTION
Neurocognitive impairment is a major predictor of functional disability in bipolar disorder (BD), with 40–60% of patients showing symptoms of cognitive dysfunction (Burdick et al., Reference Burdick, Russo, Frangou, Mahon, Braga, Shanahan and Malhotra2014; Martinez-Aran et al., Reference Martinez-Aran, Vieta, Colom, Torrent, Sanchez-Moreno, Reinares and Salamero2004; Sole et al., Reference Sole, Jimenez, Torrent, Reinares, Bonnin, Torres and Vieta2017; Van Rheenen et al., Reference Van Rheenen, Lewandowski, Tan, Ospina, Ongur, Neill and Burdick2017). Several meta-analyses have highlighted that neurocognitive impairments in BD are significant in the areas of memory/learning, attention, processing speed, executive function, response inhibition and set shifting; and are present during both symptomatic and euthymic illness phases (Arts, Jabben, Krabbendam & van Os, Reference Arts, Jabben, Krabbendam and van Os2008; Bora, Yucel & Pantelis, Reference Bora, Yucel and Pantelis2009; Robinson et al., Reference Robinson, Thompson, Gallagher, Goswami, Young, Ferrier and Moore2006; Torres, Boudreau & Yatham, Reference Torres, Boudreau and Yatham2007). One of the most consistently reported deficits in BD is in the domain of memory/learning, which encompasses encoding (initial acquisition of information into memory), consolidation (information storage) and retrieval (remembering) of information. Specifically, we and others found that compared to healthy control participants, patients with BD have significantly worse performance in tasks measuring learning, immediate memory/attention (Altshuler et al., Reference Altshuler, Ventura, van Gorp, Green, Theberge and Mintz2004; Bearden et al., Reference Bearden, Glahn, Monkul, Barrett, Najt, Kaur and Soares2006; Gogos, Joshua & Rossell, Reference Gogos, Joshua and Rossell2010; Nitzburg et al., Reference Nitzburg, Cuesta-Diaz, Ospina, Russo, Shanahan, Perez-Rodriguez and Burdick2017; van Gorp, Altshuler, Theberge, Wilkins & Dixon, Reference van Gorp, Altshuler, Theberge, Wilkins and Dixon1998; Van Rheenen & Rossell, Reference Van Rheenen and Rossell2014b) and delayed recall and recognition (Deckersbach, Savage et al., Reference Deckersbach, Savage, Reilly-Harrington, Clark, Sachs and Rauch2004; Nitzburg et al., 2004; van Gorp et al., Reference van Gorp, Altshuler, Theberge, Wilkins and Dixon1998; Van Rheenen & Rossell, Reference Van Rheenen and Rossell2014b). Impairment in verbal memory in particular, may represent an endophenotype for BD given its presence in unaffected relatives with the disorder (Calafiore, Rossell & Van Rheenen, Reference Calafiore, Rossell and Van Rheenen2018). It is also one of the most strongly predictive of all common cognitive domains in terms of poor occupational, social and global functioning outcomes (Atre-Vaidya et al., Reference Atre-Vaidya, Taylor, Seidenberg, Reed, Perrine and Glick-Oberwise1998; Martinez-Aran et al., Reference Martinez-Aran, Vieta, Colom, Torrent, Sanchez-Moreno, Reinares and Salamero2004).
Currently, there is scarce literature examining sex differences in memory/learning in BD (Gogos, Ney, Seymour, Van Rheenen & Felmingham, Reference Gogos, Ney, Seymour, Van Rheenen and Felmingham2019), despite reported sex differences in BD in terms of epidemiology and clinical presentation of the illness (Bucker et al., Reference Bucker, Popuri, Muralidharan, Kozicky, Baitz, Honer and Yatham2014; Gogos et al., Reference Gogos, Ney, Seymour, Van Rheenen and Felmingham2019; Gogos, van den Buuse & Rossell, Reference Gogos, van den Buuse and Rossell2009). In healthy individuals there is evidence of a female advantage for verbal memory, and some evidence of a male advantage for visuospatial memory (Kramer, Delis & Daniel, Reference Kramer, Delis and Daniel1988; Pauls, Petermann & Lepach, Reference Pauls, Petermann and Lepach2013). However, in BD, two existing studies found that patients had lower verbal memory/learning performance compared to healthy control participants, but effects of sex were not evident (Bucker et al., 2004; Gogos et al., Reference Gogos, Joshua and Rossell2010). By contrast, another study showed that male patients with BD had worse verbal memory/learning performance compared to male controls, but this deficit was not observed when comparing female patients with BD to female controls (Carrus et al., Reference Carrus, Christodoulou, Hadjulis, Haldane, Galea, Koukopoulos and Frangou2010). These studies focused on single measures of memory/learning but did not analyse the influence of sex on the component processes involved. Yet understanding the specific fundamental processes that contribute to memory deficits in BD is important for knowing where to focus cognitive treatments that might aim to remediate these impairments.
In previous work we have characterised a range of verbal memory/learning component processes in both male and female patients with BD together (Van Rheenen & Rossell, Reference Van Rheenen and Rossell2014b), finding that verbal memory impairments in BD are attributable to deficient encoding processes during the acquisition phase of learning (Van Rheenen & Rossell, Reference Van Rheenen and Rossell2014b). However, in that work we did not investigate whether similar cognitive mechanisms underpin visual memory/learning performance in BD, nor did we examine the influence of sex explicitly.
In comparison to verbal memory/learning, impairment in visual memory/learning is less explored in BD. Some studies of BD show that patients have impaired immediate recall on visual memory/learning tasks compared to controls, which may relate to an encoding rather than a retention deficit (Deckersbach, McMurrich et al., Reference Deckersbach, McMurrich, Ogutha, Savage, Sachs and Rauch2004). By contrast, other studies have found no group differences in visual memory/learning performance (Altshuler et al., Reference Altshuler, Ventura, van Gorp, Green, Theberge and Mintz2004; van Gorp et al., Reference van Gorp, Altshuler, Theberge, Wilkins and Dixon1998). In the few studies examining sex differences on this domain, Carrus et al. (2004) found that male patients with BD had worse performance than male controls in immediate, but not delayed, visual memory/learning, and there were no differences between female patients with BD and controls (Carrus et al., 2004). Tournikioti et al., (Reference Tournikioti, Ferentinos, Michopoulos, Dikeos, Soldatos and Douzenis2018) found that male controls outperformed female controls in visuospatial recognition memory, but this sex difference was not observed in patients with BD (Tournikioti et al., 2004). By contrast, we found no sex differences in visual memory/learning performance (Gogos et al., Reference Gogos, Joshua and Rossell2010). Of note, each of these studies used a different measure of visual memory/learning and had a relatively small sample size (n = 40; Gogos et al., Reference Gogos, Joshua and Rossell2010). Such heterogeneity across a limited number of studies makes comparison of results difficult. However, these previous studies suggest there may be some sex differences, and this warrants further investigation, particularly in the context of visual memory component processes which have not been explored in BD in the context of sex effects so far.
In this exploratory study we aimed to examine verbal and visual memory performance in BD, with a focus on identifying the extent to which there are sex differences in these domains compared to controls. In doing so, we aimed to address some of the methodological limitations of previous studies. Firstly, we employed a larger sample size than previous work to overcome issues with low statistical power. Secondly, we comprehensively measured the different components of verbal and visual memory/learning (such as delayed memory, retention rate, and learning slope) using well recognised tasks. We did this to define the profile of memory performance in BD more accurately and identify the extent to which different component processes are affected by sex, since this remains unknown due to the paucity of literature on the topic. We hypothesised that patients with BD would be more impaired than healthy control participants on measures of verbal and visual memory/learning performance. We also hypothesised that females would outperform males in verbal memory/learning irrespective of diagnosis, given strong past evidence indicating this effect in the general population (Kramer et al., Reference Kramer, Delis and Daniel1988; Pauls et al., Reference Pauls, Petermann and Lepach2013). Given sparse literature examining sex differences in cognition in BD itself, we did not make explicit hypotheses regarding sex by diagnosis interaction effects for memory/learning.
METHODS
Participants
Data from 219 participants (92 males, 127 females) was obtained from a databank held by the senior author. All participants had participated in studies led by the senior author and as such, the memory/learning performance of parts of the sample have been reported previously (Karantonis et al., Reference Karantonis, Rossell, Carruthers, Sumner, Hughes, Green and Van Rheenen2020; Van Rheenen & Rossell, Reference Van Rheenen and Rossell2014a, Reference Van Rheenen and Rossell2014b), albeit not in the context of sex differences. All participants had been recruited using general advertisements as well as online websites and social media; patients with BD were also recruited through community support groups (exclusion criteria detailed below). All participants had given prior informed consent for the analysis of stored data. Participants were selected for the current analysis from the databank if responses on the primary study measures - the Hopkins Verbal Learning Test-Revised (HVLT-R: Brandt & Benedict, Reference Brandt and Benedict2001) and/or the Brief Visuospatial Memory Test-Revised (BVMT-R: Benedict, Reference Benedict2007), were recorded. That is, participants in the databank with missing data on the primary study measures were excluded from analyses. All procedures contributing to this work complied with the ethical standards of the relevant Human Ethics Review Boards and with the Declaration of Helsinki.
The clinical group comprised n = 114 patients (n = 50 males, n = 64 females) with a DSM-IV-TR diagnosis [confirmed using the Mini International Neuropsychiatric Interview (MINI: Sheehan et al., Reference Sheehan, Lecrubier, Sheehan, Amorim, Janavs, Weiller and Dunbar1998)] of BD (BD-I n = 101; BD-II n = 13). A total of n = 34 BD participants reported a family history of BD or a relative treated with a mood stabilizer and n = 30 a history of rapid cycling; n = 60 BD participants had a current comorbid anxiety disorder and n = 15 had current comorbid substance abuse. No participants met criteria for substance-induced BD or an organic medical cause. Current mood symptom severity was assessed using the Young Mania Rating Scale (YMRS: Young, Biggs, Ziegler & Meyer, Reference Young, Biggs, Ziegler and Meyer1978) and the Montgomery-Asberg Depression Rating Scale (MADRS: Montgomery & Asberg, Reference Montgomery and Asberg1979), from which 64 patients with BD (56%) were considered to be strictly euthymic, as defined by MADRS and YMRS scores of <8. The remaining 50 (44%) of the BD sample displayed mild-moderate symptoms (i.e. 31 with MADRS scores > 8, 6 with YMRS scores > 8, and 13 with both MADRS and YMRS scores > 8). Age of diagnosis was self-reported by the patients with BD. Eighteen patients with BD were unmedicated and 96 were medicated at the time of assessment (n = 77 mood stabilisers, n = 56 antipsychotics, n = 36 antidepressants, n = 13 other psychotropic drugs).
A control sample of 105 psychiatrically healthy participants (n = 42 males, n = 63 females) were recruited by general advertisement. The MINI screen was performed to confirm that no one in the control group had a current diagnosis of psychiatric illnesses. Participants were explicitly asked at phone screening and in the demographic questionnaire, and then subsequently excluded from the control group, if they reported having ever been diagnosed (lifetime) with any type of psychiatric illness.
Exclusion criteria for participants included: not within the 18–65 year age range, difficulties with spoken English, a history of traumatic brain injury, hearing or visual impairments, neurological or degenerative illness, alcohol or substance dependence in the past 3 months, pregnancy, a history of psychotropic medication use (healthy controls only), a family history (first or second degree relative) of a mood or psychiatric disorder (healthy controls only). See Tables 1 and 2; and Supplementary Tables 1–3 for full demographic details.
Table 1. Demographic characteristics of the participants
Note: BD = bipolar disorder; HC = healthy control; Dx = diagnosis; M = mean; SD = standard deviation.
Bolded values are significant at p < 0.05.
Table 2. Clinical characteristics of the BD patients
Notes: BD = bipolar disorder; MADRS = Montgomery-Asberg Depression Rating Scale; M = mean; meds = medication use; SD = standard deviation; YMRS = Young Mania Rating Scale.
a Data missing for n = 4 participants.
b Data missing for one male and three female participants.
c Data missing for two female participants.
Cognitive Measures
Verbal memory/learning was measured with the HVLT-R (Brandt & Benedict, Reference Brandt and Benedict2001) and visual memory/learning was measured with the BVMT-R (Benedict, Reference Benedict2007). The HVLT-R and BVMT-R were designed to be methodologically similar to each other, with both tests having good validity (Benedict, Schretlen, Groninger, Dobraski & Shpritz, Reference Benedict, Schretlen, Groninger, Dobraski and Shpritz1996; Shapiro, Benedict, Schretlen & Brandt, Reference Shapiro, Benedict, Schretlen and Brandt1999) and test-retest reliability (Benedict, Schretlen, Groninger & Brandt, Reference Benedict, Schretlen, Groninger and Brandt1998; Nuechterlein et al., Reference Nuechterlein, Green, Kern, Baade, Barch, Cohen and Marder2008). These tests were given to participants as part of broader cognitive batteries, of which the reporting is beyond the scope of the current study. Other cognitive tests that were given to participants between the learning and delayed trials of the HVLT-R and BVMT-R (see below for more detail) varied from person-to-person depending on the study in which they were originally enrolled (see Karantonis et al. (2004); Van Rheenen & Rossell (Reference Van Rheenen and Rossell2013a, Reference Van Rheenen and Rossell2013b, Reference Van Rheenen and Rossell2014a, Reference Van Rheenen and Rossell2014b, Reference Van Rheenen and Rossell2014c) for further detail on some of these tests). Thus, these tests were deemed unlikely to substantively influence participant performance.
On the HVLT-R, participants were required to verbally recall twelve target words over three learning trials (T1–T3), and a delayed recall trial (T4) 20–30 min later. The task also included a recognition trial comprising 24 words (12 target words from the original list, 12 unrelated distractor words of which 6 were semantically related), that were presented directly following the delayed trial. The HVLT-R was scored for the following variables of interest: (a) free recall (number of correctly recalled words on each of T1, T2, and T3); (b) total recall (sum of T1–T3); (c) learning slope (difference between T3 and T1; Benedict et al., Reference Benedict, Schretlen, Groninger and Brandt1998); (d) cumulative word learning (learning slope multiplied by total recall score; Foster et al., Reference Foster, Drago, Crucian, Rhodes, Shenal and Heilman2009); (e) delayed free recall (T4); (f) retention percentage rate (percentage of T4 divided by the higher of T2 or T3); (g) recognition discrimination index (total number of true positives minus the total number of false positives on the recognition trial). Raw scores were used for analyses.
On the BVMT-R, participants were required to visually recall six geometric shapes over three learning trials (T1–T3). A delayed trial (T4) was completed 20–30 min later. A score of 2 was given for any accurately reproduced and placed geometric shapes. Any accurately drawn but incorrectly placed or any inaccurately drawn but recognizable reproduced shapes were scored a 1. Finally, absent or unrecognizable and incorrectly placed redrawing were scored a 0. The highest possible score for each learning trial was 12. The BVMT-R was scored for the following variables of interest: (a) free recall (number of correctly recalled shapes on each of T1, T2, and T3); (b) total recall (sum of T1–T3); (c) learning slope (difference between T3 and T1); (d) cumulative shape learning (learning slope multiplied by total recall score); (e) delayed free recall (T4); (f) retention percentage rate (percentage rate of T4 divided by the higher of T2 or T3). Raw scores were used for analyses.
The initial words/shapes recalled on T1 were taken as a measure of attention, and the total recall score as the amount of information learnt across each trial. The learning slope reflected the degree of learning across the learning trials (i.e. the average number of newly recalled words/shapes over the learning trials), whereas cumulative word/shape learning reflected the interaction between the learning slope and the number of words/shapes recalled across these trials (i.e. it captured both the degree of learning and the amount of information learned across trials). Retention rate in turn, reflected the amount of information retained between the immediate and delayed learning trials. The recognition discrimination index (verbal memory only) reflected the capacity to discriminate between previously presented (words presented on initial trials) and new information (new distractor words presented in recognition trial).
Statistical Analysis
All statistical analyses were performed using the Statistical Package for Social Sciences (version 25.0; SPSS, Chicago, IL). The data conformed to the assumptions of the relevant statistical tests prior to analyses. Univariate analyses of variance (ANOVA) and chi-square tests were conducted to examine diagnostic differences and/or interactions on demographic and clinical variables. A diagnostic and sex effect were detected for age, thus subsequent ANOVAs for the measures of interest were conducted with and without age included as a covariate. The inclusion of age had no effect and therefore only the results of analyses without covarying for age are presented below. Further, although there were no diagnosis, sex or diagnosis by sex interaction effects for years of education, given the potential of this variable to influence cognitive performance we also correlated years of education with each of the measures of interest in the full sample in unreported preliminary analyses. As no correlations were significant even at an uncorrected p-value of p < 0.05, in the absence of diagnostic and sex effects/interactions we reasoned that years of education is unlikely to have a substantial effect on the cognitive findings and thus we did not control for years of education in the subsequent ANOVAs conducted with the measures of interest as outcomes. In these ANOVAs, diagnosis and sex were specified as fixed factors, and each of the measures of interest as dependent variables. First, multivariate ANOVAs including all verbal and visual memory domains were performed separately to obtain omnibus diagnosis, sex, and diagnosis by sex interaction effects. Second, univariate ANOVAs were then conducted for individual verbal memory/learning scores of interest. These results were corrected for multiple testing using a false discovery rate (FDR) of 5% (p < 0.05) for the main effects of diagnosis, sex, and the group by sex interaction separately. Trend level effects were taken as those significant at p < 0.05 but not surviving FDR correction. It should be noted that we conducted a sensitivity power analysis (Lakens, Reference Lakens2021) using G*power 3.1.9.4 for ANOVA (α = 0.05, power = 0.8, total sample = 219, number of groups = 2) to ascertain power in our sample, from which we determined that f = 0.19 (small to medium) was the lowest effect size detectable.
Given the presence of some symptomatic patients in the BD sample, in a secondary sensitivity analysis these procedures were conducted again including only euthymic BD patients to examine trait-effects.Footnote 1 Further bivariate Pearson’s correlations between variables of interest and MADRS and YMRS scores were also examined in the full BD sample. Given varied medication use in the BD sample, further exploratory analyses comparing patients on and off different classes of medication (mood stabilisers, antipsychotics and antidepressants) were also conducted using multivariate and univariate ANOVAs with follow-up univariate ANOVAs per sex for significant interactions. There was some sporadic missing data for a small number of participants on some variables (see Tables), but data for the delayed recall trial of the BVMT-R (T4) was missing in n = 50 BD and n = 75 controls, thus caution should be taken when interpreting the results of the analysis of this variable and BVMT-R retention (which is derived from T4). Where relevant, effect sizes are reported as Cohen’s d.
RESULTS
Demographic and Clinical Characteristics
There was no significant difference between BD and control participants in terms of sex (χ2 = 0.36, p = 0.55) and education (Table 1, Supplementary Table 1). There were main effects of sex and diagnosis for age, with males being older than females and patients with BD being older than controls (Table 1, Supplementary Table 1). There were no significant differences between male and female patients with BD for any of the clinical variables measured (i.e. MADRS, YMRS, age of diagnosis, symptom status, BD subtype, psychosis history, current comorbid anxiety or substance use, family history of BD, rapid cycling, medication use and type; Table 2).
Primary Analysis of Verbal and Visual Memory/Learning in All Participants
When comparing all BD and control participants, there were omnibus diagnostic effects for both verbal (F(9,186) = 4.98, p < 0.001) and visual (F(7, 83) = 2.404, p = 0.027) memory/learning domains, but no omnibus sex or diagnosis by sex interaction effects were evident (Table 3).
Table 3. Descriptives, main effects and interactions for the variables of interest
Note: BD = bipolar disorder; HC = healthy control; CSL = cumulative shape learning; CWL = cumulative word learning; DI = discrimination index; Dx = diagnosis; M = mean; SD = standard deviation; T1 = trial 1; T2 = trial 2; T3 = trial 3; T4 = trial 4.
Verbal memory/learning was assessed with the Hopkins Verbal Learning Test – Revised, and visual memory/learning was measured with the Brief Visuospatial Memory Test – Revised.
Higher scores indicate better performance.
All p-values represent uncorrected p-values.
Bolded values survived FDR correction (p < 0.05).
a Are significant at p < 0.05 uncorrected but did not survive FDR correction.
b Omnibus test is significant at p < 0.05 uncorrected (no correction applied).
Note that Cohen’s d effect sizes are reported in the supplementary material.
For individual verbal memory/learning scores there were main effects of diagnosis for the following variables (Table 3): HVLT-R free recall T1 (d = 0.68), T2 (d = 0.73), T3 (d = 0.78), total recall (d = 0.81), delayed memory (d = 0.87), retention (d = 0.60), and recognition discrimination (d = 0.62); all BD < controls (Figure 1, Supplementary Table 5). There were main effects of sex for HVLT-R free recall T1 (d = 0.31, male < female) but this did not survive correction (see also Supplementary Table 6). There were no other main effects of sex or diagnosis by sex interactions (Supplementary Table 4).
Fig. 1. Mean ± SD for main effects of diagnosis for the variables of interest. Graph (A) represents verbal memory/learning performance measured with the Hopkins Verbal Learning Test-Revised (HVLT-R); Graph (B) represents visual memory/learning performance measured with the Brief Visuospatial Memory Test-Revised (BVMT-R). Verbal and visual memory/learning scores were standardised against the total sample mean (BD and control) for scaling and visualisation purposes. BD = bipolar disorder; HC = healthy control; CSL = cumulative shape learning; CWL = cumulative word learning; T1 = trial 1; T2 = trial 2; T3 = trial 3; T4 = trial 4; RDI = recognition discrimination index. *p < 0.05 FDR corrected.
For individual visual memory/learning scores there were main effects of diagnosis for BVMT-R free recall T1 (d = 0.66), T2 (d = 0.78), T3 (d = 0.65), total recall (d = 0.78) and delayed memory (d = 0.66), all surviving correction (all BD < controls; Table 3, Supplementary Table 5; Figure 1). There were main effects of sex for BVMT-R free recall T1 and T2 (d = 0.37, d = 0.28; females > males; Supplementary Table 6), and diagnosis by sex interactions for BVMT-R free recall T3 (BD males < BD females < control females < control males) and cumulative shape learning (control females < BD males < BD females < control males), but none of these effects survived correction (Table 3, Supplementary Table 4). No other main effects or interactions were evident.
There were no significant correlations between any of the variables of interest (verbal and visual memory/learning) and MADRS or YMRS scores (data not shown).
Secondary Sensitivity Analysis of Verbal and Visual Memory/Learning in Controls and Only the Euthymic BD Patients
When comparing euthymic BD patients with control participants, there were omnibus diagnostic effects for verbal memory/learning (F(9,138) = 4.98, p < 0.001) but no omnibus diagnostic effects for visual memory/learning. No omnibus sex or diagnosis by sex interaction effects were evident for either verbal or visual memory/learning (Supplementary Table 7).
As per the analysis including all participants, for individual verbal memory/learning scores there were significant main effects of diagnosis for the following variables: HVLT-R free recall T1 (d = 0.64), T2 (d = 0.83), T3 (d = 0.83), total recall (d = 0.83), delayed memory (d = 1.03), retention (d = 0.79), and recognition discrimination (d = 0.73), all surviving FDR correction (all euthymic BD < controls). There were no significant main effects of sex or diagnosis by sex interactions (Supplementary Tables 7–10).
For individual visual memory/learning scores there were significant main effects of diagnosis for BVMT-R free recall T1 (d = 0.66), T2 (d = 0.78), T3 (d = 0.78), total recall (d = 0.82) and visual delayed memory (d = 0.58), all surviving correction (all euthymic BD < controls). No main effects of sex or diagnosis by sex interactions were evident (Supplementary Tables 7–10).
Exploratory Medication Analysis in the BD Sample
Mood stabilisers
There were no main effects of sex or mood stabiliser use, or sex by mood stabiliser use interaction effects at either the omnibus or individual test score level for either verbal or visual memory/learning (Supplementary Table 11).
Antipsychotics
For verbal memory/learning there were no omnibus effects of sex or antipsychotic use, but an omnibus sex by antipsychotic use interaction effect was evident (F(8, 102) = 2.11, p = 0.041). There was an antipsychotic use by sex interaction effect for HVLT-R free recall T3, and main effects of antipsychotic use for HVLT-R free recall (T1, T2 and T3) and total recall (not using > using).
For visual memory/learning there were no omnibus effects of sex or antipsychotic use, nor a sex by antipsychotic use interaction. However, there were main effects of sex (females > males) for BVMT-R free recall (T1, T2 and T3), total recall and delayed recall. None of these effects survived FDR correction (Supplementary Table 12).
Antidepressants
For verbal memory/learning there were no omnibus effects of sex or antidepressant use, nor a sex by antidepressant use interaction. There was a main effect of sex for HVLT-R free recall T1 and total recall (females > males) and a main effect of antidepressant use for recognition discrimination index (using > not using), however neither survived FDR correction. Sex by antidepressant use interaction effects were also evident for the HVLT-R free recall (T1, T2 and T3), total recall, delayed recall, and recognition discrimination index (Supplementary Table 13). Follow up analysis for the interactions that survived FDR correction (Supplementary Table 14) showed that for HVLT-R T2 scores, males had significantly higher scores if not using rather than using antidepressants (d = 0.60), and females tended to have better scores if using compared to not using antidepressants (d = 0.52). For HVLT-R T3 and total recall scores, females had significantly higher scores if using than not using antidepressants (d = 0.69 and d = 0.72), but there was no difference for males (d = 0.15 and d = 0.55).
For visual memory/learning there were no omnibus effects of sex or antidepressant use, nor a sex by antidepressant use interaction. There were significant main effects of sex for BVMT-R scores when patients were separated by antidepressant use (Supplementary Table 13); females outperformed males on BVMT-R free recall (T1, T2 and T3), total recall and delayed recall. There was also a sex by antidepressant use interaction for BVMT-R free recall T2, total recall and delayed recall (females had higher scores if using while males had higher scores if not using), however these interactions did not survive FDR correction.
DISCUSSION
It is clearly established that a large proportion of patients with BD exhibit cognitive deficits (Van Rheenen et al., Reference Van Rheenen, Lewandowski, Bauer, Kapczinski, Miskowiak, Burdick and Balanza-Martinez2020). However, far less is known about the extent of memory impairment in BD and whether sex differences in memory performance exist. As such, this study aimed to present new knowledge on the underlying component processes involved in verbal and visual memory/learning in BD and whether these are moderated by sex. In support of our first hypothesis, the main findings were that patients with BD had worse performance than healthy controls measured by omnibus diagnosis effects as well as individual domain measures of verbal and visual memory/learning. However, our hypothesis concerning sex effects was not supported because although there were some trend level (at p < 0.05 uncorrected) sex differences and interaction effects for some measures of verbal and visual memory/learning performance, none survived FDR correction.
The present data support the majority of studies showing that patients with BD have verbal (Altshuler et al., Reference Altshuler, Ventura, van Gorp, Green, Theberge and Mintz2004; Bearden et al., 2004; Deckersbach, Savage et al., Reference Deckersbach, Savage, Reilly-Harrington, Clark, Sachs and Rauch2004; Gogos et al., Reference Gogos, Joshua and Rossell2010; Nitzburg et al., 2004; van Gorp et al., Reference van Gorp, Altshuler, Theberge, Wilkins and Dixon1998; Van Rheenen & Rossell, Reference Van Rheenen and Rossell2014b) and visual memory/learning (Carrus et al., 2004; Deckersbach, McMurrich et al., Reference Deckersbach, McMurrich, Ogutha, Savage, Sachs and Rauch2004) deficits. Similar to our previous study using a subset of this sample (Van Rheenen & Rossell, Reference Van Rheenen and Rossell2014b) as well as others (Carrus et al., 2004; Nitzburg et al., 2004) investigating the component processes of verbal memory/learning in BD, the present study found that patients with BD had worse performance than healthy controls in terms of verbal and visual total recall (an index of learning), as well as verbal and visual delayed free recall (an index of information storage); all with medium-large effect sizes. Relevantly, patients with BD had greater difficulty in the immediate free recall of the HVLT-R word list and BVMT-R shape list compared to healthy controls. This deficit was apparent from trial 1, suggesting that attention is also deficient in BD.
The recognition discrimination index was only measured for verbal memory/learning, where patients with BD also performed worse than healthy controls. However, there were no differences between the groups in terms of their verbal and visual learning slopes (rate of learning), or cumulative learning index which takes into account the interaction between the total number of words/shapes recalled and the average number of newly recalled correct words/shapes across the learning trials (i.e. the slope). Thus, it appears that the verbal and visual learning impairments seen in patients with BD were primarily reflective of a reduced capacity to encode information on each trial, rather than in the degree to which new information is learnt across them.
Between-group differences in both verbal and visual memory/learning also emerged in terms of the proportion of information retained after a delay of 20–30 minutes, where effect sizes and significance levels indicated that patients with BD had worse verbal, but not visual retention percentage scores compared to controls. Deficient verbal retention scores in patients with BD suggest a more rapid loss of information learned previously, which may reflect difficulties in the consolidation (storage) of verbal information. However, in this case, recognition discrimination scores would also be expected to be equally or more severely impaired in BD than delayed recall scores. In our data they were not (e.g. effect sizes were d = 0.87 for delayed recall but d = 0.60 for recognition). Thus, it is possible that the reduced retention scores seen in patients with BD here were also due to difficulties in the retrieval of verbal information after a delay. Indeed, the absence of a retention impairment in BD for visual information, in combination with impaired performance on trials 1–3, suggests that patients with BD in this sample have a deficit in their capacity to encode visual information during the acquisition phase of learning but not in their ability to retain the visual information they do encode. The large BD deficit in visual delayed recall may thus be due to an issue with information retrieval rather than consolidation/storage. However, it should be noted that we had a smaller sample size for the delayed recall/retention rate scores for visual memory/learning, and no recognition trials were presented for this test. As a result of these limitations, this result and interpretation should be considered with caution. Nonetheless, impaired scores on memory tests, particularly those indexing immediate and delayed recall, but also recognition, have been linked to mild cognitive impairment and Alzheimer’s disease (Weissberger et al., Reference Weissberger, Strong, Stefanidis, Summers, Bondi and Stricker2017). Since an association between BD and dementia has already been established (Kessing, Olsen, Mortensen & Andersen, Reference Kessing, Olsen, Mortensen and Andersen1999), it is possible that the impaired memory scores seen here may index risk for the development of this and related conditions in BD. Further research is required to explore this further.
In terms of sex effects, the results showed that there were no significant overall sex differences in any of the components of these measures, nor were there significant diagnosis by sex interactions. Although previous literature on sex differences in memory/learning in BD is scarce, the current findings support some (Bucker et al., 2004; Gogos et al., Reference Gogos, Joshua and Rossell2010) but not all existing research (Carrus et al., 2004; Tournikioti et al., 2004). Relevantly, the sex difference in visual memory/learning identified in a study by Tournikioti et al. (2004) was due to a difference between male and female controls rather than a sex difference in patients with BD. Further, the discrepancy of the findings of this study and that of Carrus et al. (2004) may be due to differences in the cognitive measures used. Indeed, Carrus et al. (2004) used the California Verbal Learning Test, which comprises more words and more trials than the HVLT-R used here. It may thus be more sensitive than the HVLT-R in BD if sex effects are subtle. The limitations of the HVLT-R are particularly relevant to interpreting our finding of no sex differences between male and female healthy controls, as the scores on T2, T3 and delayed recall trials of the HVLT-R were high for these participants, indicating potential ceiling effects. Hence, future studies would do well to examine sex differences in BD using more sensitive memory/learning measures to see if this leads to different outcomes.
Other possible reasons for the discrepancies between studies relate to differences in sample characteristics, such as sample size, clinical (e.g. number of mood episodes) and developmental (e.g., childhood trauma or socio-economic status) history, BD subtype, age or mood state. Our study was limited in that we did not have objective mood episode or developmental history data available. Although our sample included significantly older patients with BD compared to controls, further analyses covarying for age found no effect of age on the results. In addition, analyses excluding the 13 patients with BD II in the sample indicated that diagnostic subtype had no effect on the pattern of findings in this data. While our sample included patients with BD in both euthymic and symptomatic mood states, current mood status did not affect the results as analyses comparing euthymic BD patients and controls revealed the same pattern of results as when symptomatic BD patients were included. This was supported by the lack of correlations between the variables of interest and mood assessment scores. These findings correspond with a large body of research indicating that memory impairment is a stable trait-like feature of BD (Bearden et al., 2004; Bora et al., Reference Bora, Yucel and Pantelis2009; Robinson et al., 2004; Van Rheenen & Rossell, Reference Van Rheenen and Rossell2014b).
Sex differences in memory/learning in the general population have been examined extensively, with several studies showing that females outperform males on measures of verbal memory/learning (Beatty, Mold & Gontkovsky, Reference Beatty, Mold and Gontkovsky2003; Gogos, Reference Gogos2013; Gogos et al., Reference Gogos, Joshua and Rossell2010; Kramer et al., Reference Kramer, Delis and Daniel1988). Although no sex effects survived FDR correction, the present study did find a trend for an overall effect of sex for verbal and visual free recall (trial 1; immediate memory/attention); with females outperforming males. In addition, there were trend-level diagnosis by sex effects for visual memory/learning free recall (trial 3), and cumulative shape learning, where BD females outperformed BD males. This trend for sex differences may be due to the presence of certain sex hormone levels (Gogos et al., Reference Gogos, Ney, Seymour, Van Rheenen and Felmingham2019; Luine, Reference Luine2014; Sbisa, van den Buuse & Gogos, Reference Sbisa, van den Buuse, Gogos, Gargiulo and Mesones-Arroyo2017). Indeed, data from our previous study suggested that sex hormone status of healthy female participants may be the determining factor on whether a sex difference in cognition is observed (Gogos, Reference Gogos2013). For example, we found a sex difference in cognition where women with high levels of sex hormones (either natural or synthetic) outperformed men, however women with low levels of sex hormones and males performed similarly (Gogos, Reference Gogos2013). Of the five studies (including the present study) examining sex differences in memory/learning (Bucker et al., 2004; Carrus et al., 2004; Gogos, Reference Gogos2013; Tournikioti et al., 2004), only Gogos et al., (2010) controlled for fluctuations in sex hormones in women (by only testing women during times of low levels of circulating sex hormones). Future studies should examine the role of sex hormones in mediating cognitive performance in patients with BD.
There is some evidence that mood stabilizing medications in patients with BD can either positively or negatively affect different cognitive domains, including memory (Pachet & Wisniewski, Reference Pachet and Wisniewski2003; Sabater et al., Reference Sabater, Garcia-Blanco, Verdet, Sierra, Ribes, Villar and Livianos2016); although these studies did not examine sex differences. For example, Sabater et al. (2004) found that those treated with lithium monotherapy had preserved verbal memory/learning, while patients with BD on anticonvulsant monotherapy showed impairments in visual memory/learning. By contrast, Tournikioti et al. (Reference Tournikioti, Ferentinos, Michopoulos, Alevizaki, Soldatos, Dikeos and Douzenis2017) suggested that sodium valproate predicted better performance on a visual memory/learning task in patients with BD (Tournikioti et al., 2004). In our study, comparisons of patients on and off different classes of medications revealed no main effects of sex or sex by medication interactions for mood stabilisers. There was trend level evidence that antipsychotic use impaired verbal learning performance in terms of each learning trial and total recall irrespective of sex, however this should be interpreted with caution as the effect did not survive correction for multiple comparisons. There was also evidence that males not using antidepressants had better verbal learning performance on trial 2 of the HVLT-R than those using them, with an opposite effect evident in females. Females using antidepressants also had better verbal learning trial 3 and total recall (learning) scores than females not using them; an effect not evident in males. However, given the small number of male patients using antidepressants, these results should be viewed with caution. Further, since patients in our sample were largely polytherapy users who were treated with combinations of different classes of drugs, we were unable to dissect the specific effects of different psychotropic medications on memory/learning. Future research should investigate sex differences in cognition in medication-free or monotherapy patients with BD. This is particularly relevant given some evidence that lithium treatment indirectly effects oestrogen signalling via its effects of glycogen synthase kinase-3 (Gould & Manji, Reference Gould and Manji2005). Although we excluded participants that had neurological or degenerative illnesses, we did not have information about other medical conditions, such as cardiovascular disease or diabetes, which are commonly comorbid with BD and have been linked to cognitive impairment (Van Rheenen, McIntyre, Balanza-Martinez, Berk & Rossell, Reference Van Rheenen, McIntyre, Balanza-Martinez, Berk and Rossell2021). Thus, future studies should carefully examine the influence of comorbid medical conditions and their treatments as they may alter cognitive performance.
Previous research on sex differences in BD has primarily focused on the epidemiology and clinical presentation of the illness. Given that cognitive impairment is evident in BD, the present study sought to investigate whether sex differences exist in verbal and visual memory/learning. We did not find marked sex differences in either measure of memory/learning, although some trend level effects were apparent and deserve exploration in future studies. Relevantly, the present findings supported previous work by showing a verbal memory/learning impairment in BD that is attributable to deficient encoding and consolidation processes. Further, it extended the literature by indicating a similar pattern of results in visual memory/learning highlighting deficient encoding processes. These deficits were apparent independent of mood status, diagnostic subtype and age, supporting the notion that cognitive dysfunction represents a trait-like feature of the illness.
ACKNOWLEDGEMENTS
We gratefully acknowledge the financial support of the National Health and Medical Research Council of Australia (AG CDF ID1108098; TVR ECF 1088785; KLF programme grant 1073041, SLR SF 1154651), Swinburne University (JK postgraduate scholarship), Australian Rotary Health/Ian Parker Bipolar Research Fund/Brunslea Park Estate/University of Melbourne (LF postgraduate scholarship), Australian Rotary Health/Bipolar Expedition (project grant), Helen McPherson Smith Trust, Barbara Dicker Brain Sciences Foundation, University of Melbourne, Society of Mental Health Research, Rebecca L. Cooper Foundation, Jack Brockhoff Foundation, and the Henry Freeman Trust. The Florey Institute of Neuroscience and Mental Health acknowledges the support from the Victorian Government’s Operational Infrastructure Support Grant.
SUPPLEMENTARY MATERIAL
To view supplementary material for this article, please visit https://doi.org/10.1017/S1355617721001442
CONFLICTS OF INTEREST
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