Hippocampal volume and verbal memory performance in late-stage bipolar disorder
Introduction
Lifetime prevalence of bipolar disorder (BD) is 2.1% worldwide, with subthreshold forms affecting another 2.4% (Merikangas et al., 2007). BD is associated with cognitive impairment even during periods of euthymia (Martínez-Arán et al., 2004, Barrett et al., 2009). Emergent evidence from systematic reviews in the field suggests an association between the number of manic episodes as well as psychiatric hospitalizations with neurocognitive decline (Robinson and Ferrier, 2006), particularly verbal memory impairment (Martínez-Arán et al., 2004). Not only cognition seems to be impaired in portion as a function of number of mood episodes in BD. There is evidence of overall brain atrophy in bipolar patients with multiple-episodes and a cross-sectional study showed that lateral ventricles were significantly larger in bipolar patients with multiple-episodes as compared to first-episode patients or healthy controls (Strakowski et al., 2002). Also, a recent study showed decreased volume of corpus callosum in BD women with more than 10 episodes and at least one psychiatric hospitalization (Lavagnino et al., 2015).
Hippocampus is essential for the acquisition, consolidation and retrieval of memory (Eichenbaum, 2000), which places it as an interesting structure to study the relations among cognitive impairment, brain changes, and number of manic episodes. However, studies of hippocampal volumes in BD patients have been contradictory so far, showing no changes (Brambilla et al., 2003, Altshuler et al., 2000, Bertolino et al., 2003), smaller volumes (Blumberg et al., 2003, Bearden et al., 2008), and even larger volumes in BD patients as compared to controls (Javadapour et al., 2010, van Erp et al., 2012). In addition, six meta-analyses did not show changes in hippocampal volumes in patients with BD (McDonald et al., 2004, Videbech and Ravnkilde, 2004, Kempton et al., 2008, Arnone et al., 2009, Bora et al., 2010, Ellison-Wright and Bullmore, 2010).
Thus we hypothesize that reduced hippocampal volumes and poorer verbal memory performance can be identified in patients with multiple episodes and hospitalizations but not in patients with fewer and less severe episodes. We set forth to assess hippocampal volume and verbal memory according to number of manic episodes and hospitalization in BD.
Section snippets
Methods
We performed a cross-sectional study to assess hippocampal volume and verbal memory in subjects with BD type 1 according to prior number of episodes and hospitalizations. Because the distribution of the number of episodes was not normal, we previously stratified subjects into subgroups. A similar approach was used in a recent paper in major depressive disorder (Treadway et al., 2015). Also, the grouping approach is less sensitive to variability in the retrospective report of number of episodes,
Demographics
A total of 173 subjects were included in the study (112 HC, 15 BD-Early, 30 BD-Intermediate, and 16 BD-Late). Table 1 shows demographics and clinical characteristics. Of note, illness duration (p = 0.690), current use of lithium (p = 0.592), YMRS (p = 0.207) and HAM-D (p = 0.584) scores were not different between BD stages.
Hippocampal volume
We found a significant group effect on hippocampus volume (F(3,167) = 3.227, p = 0.024, partial η2 = 0.055). Further post-hoc analysis with Bonferroni correction showed that
Discussion
The present study showed that subjects at late-stage BD had a decreased hippocampal volume when compared to controls. In addition, we showed that both subjects at intermediate and late-stage BD showed worse verbal memory recall as compared to healthy controls. Moreover, late-stage subjects showed worse semantic clustering scores than controls. These findings add to the notion that BD is a neuroprogressive disorder with brain changes and cognitive impairment according to prior morbidity (number
Contributors
Dr. Cao processed and analyzed the neuroimaging and cognitive data, drafted the manuscript and critically edited the draft of the manuscript.
Dr. Passos drafted the manuscript and critically edited the draft of the manuscript.
Dr. Mwangi processed the neuroimaging data and critically edited the draft of the manuscript.
Dr. Bauer organized and analyzed the cognitive data and critically edited the draft of the manuscript.
Dr. Zunta-Soares coordinated the subject enrollment and data collection.
Dr.
Conflicts of interest
Dr. Cao reported no biomedical financial interests or potential conflicts of interest. Dr. Passos reported no biomedical financial interests or potential conflicts of interest. Dr. Mwangi reported no biomedical financial interests or potential conflicts of interest. Dr. Bauer reported no biomedical financial interests or potential conflicts of interest. Dr. Zunta-Soares reported no biomedical financial interests or potential conflicts of interest. Dr. Kapczinski has received grants/research
Acknowledgment
Supported in part by NIMH grant R01 085667, the Dunn Research foundation, and the Pat Rutherford, Jr. Endowed Chair in Psychiatry (Jair C. Soares). Dr Passos is supported by scholarship from “Coordenação de Aperfeiçoamento de Pessoal de Nível Superior” (CAPES), Brazil.
References (46)
- et al.
An MRI study of temporal lobe structures in men with bipolar disorder or schizophrenia
Biol. Psychiatry
(2000 Jul 15) - et al.
Neuronal pathology in the hippocampal area of patients with bipolar disorder: a study with proton magnetic resonance spectroscopic imaging
Biol. Psychiatry
(2003 May 15) - et al.
Voxelwise meta-analysis of gray matter abnormalities in bipolar disorder
Biol. Psychiatry
(2010 Jun 1) - et al.
MRI investigation of temporal lobe structures in bipolar patients
J. Psychiatr. Res
(2003) - et al.
Cortical surface-based analysis. I. Segmentation and surface reconstruction
Neuroimage
(1999 Feb) - et al.
Anatomy of bipolar disorder and schizophrenia: a meta-analysis
Schizophr. Res.
(2010 Mar) - et al.
Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain
Neuron
(2002 Jan 31) - et al.
Cortical surface-based analysis. II: inflation, flattening, and a surface-based coordinate system
Neuroimage
(1999 Feb) - et al.
The neurocognitive signature of psychotic bipolar disorder
Biol. Psychiatry
(2007 Oct 15) - et al.
Neuroinflammation in bipolar disorder – a [(11)C]-(R)-PK11195 positron emission tomography study
Brain Behav. Immun.
(2014 Aug)
Reliability in multi-site structural MRI studies: effects of gradient non-linearity correction on phantom and human data
Neuroimage
Meta-analysis of magnetic resonance imaging brain morphometry studies in bipolar disorder
Biol. Psychiatry
Effects of erythropoietin on hippocampal volume and memory in mood disorders
Biol. Psychiatry
Cytokines in bipolar disorder: a systematic review and meta-analysis
J. Affect Disord.
The role of inflammation and microglial activation in the pathophysiology of psychiatric disorders
Neuroscience
A hybrid approach to the skull stripping problem in MRI
Neuroimage
Illness progression, recent stress, and morphometry of hippocampal subfields and medial prefrontal cortex in major depression
Biol. Psychiatry
Magnetic resonance imaging studies in bipolar disorder and schizophrenia: meta-analysis
Br. J. Psychiatry
Patterns of neurocognitive impairment in first-episode bipolar disorder and schizophrenia
Br. J. Psychiatry
Three-dimensional mapping of hippocampal anatomy in unmedicated and lithium-treated patients with bipolar disorder
Neuropsychopharmacology
Amygdala and hippocampal volumes in adolescents and adults with bipolar disorder
Arch. Gen. Psychiatry
Improved localizadon of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: a linear approach
J. Cogn. Neurosci.
Subtypes of learning and memory on the California Verbal Learning Test-Second Edition (CVLT-II) in the standardization sample
J. Clin. Exp. Neuropsychol.
Cited by (67)
Brain atrophy and cognitive decline in bipolar disorder: Influence of medication use, symptomatology and illness duration
2023, Journal of Psychiatric ResearchA one-year view on the association of metabolic syndrome and cognitive function in bipolar disorder – Preliminary data
2023, Journal of Affective DisordersCitation Excerpt :Moreover, illness severity can further impact cognitive performance in BD. As stated before, this is especially true for the number of episodes, which are one of the main indicators of illness severity (Cao et al., 2016; Cardoso et al., 2015; Samamé et al., 2014; Sanches et al., 2015; Torrent et al., 2012). Additionally, patients experiencing manic episodes exhibited the poorest cognitive performance across all domains with a tendency of progressive decline (Xu et al., 2020; Sanches et al., 2015).
Neurochemical correlates of cognitive functions in euthymic patients with bipolar disorder: <sup>1</sup>H-MRS study
2022, Asian Journal of PsychiatryStages of brain volume loss and performance in the Brief International Cognitive Assessment for Multiple Sclerosis
2022, Multiple Sclerosis and Related DisordersCitation Excerpt :Compared with the SDMT, the cognitive domains required and the brain regions involved in the BVMTR and CVLT2 are limited. As tests assessing episodic memory, performances in both the BVMTR and CVLT2 are associated with volume loss in the medial temporal lobe cortex and hippocampus (Aslaksen et al., 2018; Bonner-Jackson et al., 2015; Cao et al., 2016; Duran et al., 2022; Huang et al., 2022; McIntosh et al., 2017; Tringale et al., 2019). In addition, BVMTR performance is dependent on the volume of the thalamus and cerebellum (Bergsland et al., 2021; Cocozza et al., 2017; Conway et al., 2021; Koenig et al., 2018).
Impaired allocentric spatial memory in patients with affective disorders
2022, Journal of Psychiatric Research
- 1
Dr Bo Cao and Dr Ives Cavalcante Passos are joint first authors who contributed equally to this work.