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Volume 105, Issue 1, Pages 93-99 (January 2008)


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Anterior cingulate volume in pediatric bipolar disorder and autism

Sufen Chiua, Felicia Widjajaa, Marsha E. Batesb, Gerald T. Voelbelc, Gahan Pandinad, Joelle Marblee, Jeremy A. Blanka, Josh Daya, Norman Brulea, Robert L. HendrenaCorresponding Author Informationemail address

Received 25 August 2006; received in revised form 6 April 2007; accepted 24 April 2007.

Abstract 

Background

An increasing number of studies indicate the anterior cingulate gyrus (ACG) may play a role in the attention deficits associated with pediatric bipolar disorder (BD). Age, medications, and intelligence quotient (IQ) may affect ACG volume; few studies have controlled for these effects.

Methods

We recruited 16 children with BD and 24 children with autism spectrum disorder (ASD); 15 children with no psychiatric diagnosis (NP) were also included. All participants were evaluated with the K-SADS and a DSM-IV Autism/Asperger's Checklist; the ADI-R was also administered to ASD participants shortly after the study began. The participants completed a brain MRI scan on a 1.5Tesla Signa GE scanner. We segmented the ACG and compared left and right ACG volumes between groups. The influence of medications on the ACG volume was assessed while controlling for the effects of age and IQ.

Results

The left ACG volume was significantly smaller in the BD group compared to the NP (p=0.004) and ASD (p=0.006) groups. No significant differences were found in the right ACG volume. These differences do not appear to be attributable to medication use or IQ.

Conclusions

Pediatric BD patients have a smaller left ACG volume compared to NP children and children diagnosed with ASD. This replication and extension of previous studies suggest that the ACG volume abnormality may be a biomarker for BD.

Article Outline

Abstract

1. Introduction

2. Materials and methods

2.1. Participant ascertainment

2.2. MRI acquisition

2.3. Volumetric analyses

2.4. Intracranial volume (ICV) measurements

2.5. ACG measurements

2.6. Statistical analysis

3. Results

4. Discussion

Acknowledgment

References

Copyright

1. Introduction 

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It is suggested that a reduced left anterior cingulate gyrus (ACG) volume may be related to the brain structure endophenotype (McDonald et al., 2004) of bipolar disorder (Hasler et al., 2006). However, only three studies show possible reductions in ACG volume while a number of studies demonstrate no significant differences (Riffkin et al., 2005). Using automated voxel based morphometry, researchers identified volume reductions of the dorsal lateral prefrontal gyrus (Dickstein et al., 2005), medial temporal lobe, orbitofrontal cortex, and ACG in adolescents with BD compared to age-matched healthy controls (Wilke et al., 2004). Only one study using manual tracing methods found that the left ACG was significantly smaller in pediatric BD compared to typically developing children (Kaur et al., 2005) and several others found no difference (Frazier et al., 2005a). The purpose of this study is to evaluate the validity of the left ACG volume as an endophenotype of BD by attempting to control for potential confounds not included in previous studies using a similar age autism comparison group.

The lack of significant reductions in left ACG volume in some studies may be due to the medication exposure of the subjects. Controversy exists over the effects that psychotropic medications have on brain anatomy, with studies reporting increases, decreases, or no changes in the same structure for various diagnostic groups. The neuroprotective effects of lithium may contribute to the absence of gray matter reduction in some studies of adults diagnosed with BD (Kaur et al., 2005). The effect of typical antipsychotics on grey matter volume is inconsistent across disorders, with some studies finding decreases (Dazzan et al., 2005, Lieberman et al., 2005) while others report increases. Atypical antipsychotics may affect the volume of the anterior cingulate in BP, but to our knowledge, no studies have reported this effect.

Reduced intelligence quotient (IQ) may be an additional confounding factor in determining whether differences are found in ACG volume. For example, prefrontal gray matter volume has been found to be positively correlated with IQ in children aged 4 to 18 years (Reiss et al., 1996). The most robust findings in schizophrenia, BD, and post-traumatic stress disorder continue to be global reductions in brain volume that correlate with decreased IQ (De Bellis et al., 2002, DelBello et al., 2004, Frazier et al., 2005a, Mehler and Warnke, 2002). Taken together, the literature suggests that reductions in IQ are not disease-specific, and additional factors may account for global reductions in brain volume across diagnostic groups. Studies have not considered the combined effects of IQ and medication on ACG volume in pediatric BD.

The current study evaluated ACG volume in two clinical populations, pediatric BD and autism spectrum disorder (ASD), as compared to children with no psychiatric diagnosis (NP), in order to evaluate the effects of medication, IQ, and diagnosis on ACG volumes. The ASD group was chosen as a positive control for several reasons (Towbin et al., 2005, Stahlberg et al., 2004, McCracken et al., 2002): 1) Overall functional impairment and symptom severity are similar in ASD and BD, but there is different core symptomatology; 2) both disorders occur in childhood; and 3) at least in our sample, there is a similar exposure to medications (see below). We used these two diagnostic groups along with a control group without psychiatric diagnosis to examine factors that may have contributed to the conflicting pattern of volumetric differences in the ACG previously reported in the literature. We hypothesized that children with BD will have smaller ACG volumes regardless of age, psychotropic medication history, or IQ compared with children with ASD or NP.

2. Materials and methods 

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2.1. Participant ascertainment 

All subjects range from age 7 to 13 years. Sixteen children with BD (12 male; mean age=10.63years, SD=4.56), 24 children with ASD (22 male; mean age=10.50, SD=1.93), and 15 NP control children (12 male; mean age=10.94, SD=1.65) were identified for this study from an initial recruitment pool of 139 total subjects (27 NP, 36 BD, and 76 ASD); subjects were selected based on quality of MRI: free of movement in which the ACG could be segmented. Patients were recruited from central New Jersey through outpatient, inpatient, and day programs of a university medical center for a study investigating regional brain volumes in ASD and BD (Voelbel et al., 2006). The NP sample was recruited from local pediatric offices, by word of mouth, and by recruitment flyers in the community, and had no lifetime psychiatric diagnoses. Any child with a history of central nervous system (CNS) disease, serious and/or active medical problems, or a full-scale IQ (FSIQ) lower than 70 was excluded. All procedures were approved by the University of Medicine and Dentistry of New Jersey (UMDNJ) and Rutgers, The State University of New Jersey Institutional Review Boards for the Protection of Human Subjects involved in research; all children provided oral assent and parents signed written consent forms after being fully informed of the study procedures.

All participants and parents were separately administered the Schedule for Affective Disorders and Schizophrenia for School Age Children, Present State and Epidemiological Version (K-SADS, Ambrosini and Dixon, 1996) and a semi-structured clinical interview based on a checklist of the Diagnostic and Statistical Manual-IV criteria (American Psychiatric Association, 1994) for Autism and Asperger's Syndrome. The Autism Diagnostic Inventory-Revised (ADI-R, Lord et al., 1994) was added to the assessment battery after the start of the study and was administered by a certified rater to one or both parents to 16 of the 24 participants with ASD. All diagnoses were confirmed in a consensus raters' meeting reviewing all available diagnostic information.

Participants meeting the DSM-IV Autism/Asperger's Checklist primary diagnosis criteria for autism or Asperger's Disorder formed the ASD category (n=24). Individuals who met criteria for a K-SADS primary diagnosis of bipolar I or bipolar II disorder were placed in the BD category (n=16). The age-matched NP group (n=15) did not meet diagnostic criteria for any psychiatric disorder. Children and parents were seen together and separately by the same psychiatrist or psychologist (RLH, GV, GP or an upper level clinical psychology post-doctoral student trained to reliability by RLH). All children received the Wechsler Intelligence Scale for Children — Third Edition to assess full-scale, verbal, and performance IQ (Wechsler, 1991). Medications used were SSRIs (ASD=9, BD=9), non-SSRIs (ASD=4, BD=3), mood stabilizers (ASD=4, BP=9), atypical neuroleptics (ASD=5, BD=8), typical neuroleptics (ASD=1, BD=0), and adrenergic agents (ASD=3, BD=3). None of the participants in the NP group was taking any medication at the time of the evaluation.

2.2. MRI acquisition 

Neuroimaging was performed on a 1.5Tesla Signa GE scanner (Milwaukee, WI) housed at the Laurie Imaging Center, New Brunswick, New Jersey. Ten-minute total scan time was devoted to high-resolution anatomical imaging of the brain. A coronal series of 124 contiguous 1.5-mm thick, 0-gap, T-1 weighted SPGR (spoiled grass) images (VBw, EDR, FAST, Irp, TR 25ms TE 5ms, TI/Flip 40, Bandwidth 16.0, FOV 24, 256192 matrix), was obtained for volumetric analyses.

2.3. Volumetric analyses 

Volumetric measurements were completed blind to participant diagnosis at both Rutgers University, and the M.I.N.D. Institute Computational Neuroimaging Laboratory located at the University of California, Davis using a PC with Analyze 6.0 (Robb, 2001) software.

2.4. Intracranial volume (ICV) measurements 

Image files were aligned on the anterior and posterior commissure axis. Unbiased volume estimates of the ICVs were obtained using the Cavalieri method of point counting (Roberts et al., 2000). A 14 × 14 pixel grid with a 10-slice increment and random starting positions was used to produce more than 200 counted points and a coefficient of error of less than 2%. ICV included all gray and white matter and cerebral spinal fluid in the lateral and third ventricles and excluded the cerebellum and brainstem. An inter-rater reliability correlation of .98 (between two raters), and intra-rater reliability correlation (intra-class correlation coefficient) of greater than .97 for each rater were established on 10 image files (Voelbel et al., 2006).

2.5. ACG measurements 

The midpoint between the anterior and posterior commissures was identified in the mid-sagittal slice to establish the caudal extent of the anterior cingulate. The method for tracing the anterior cingulate was determined by which variant was present (Hamstra et al., 2006). An intra-rater reliability of ICC=.90 was established on 10 image volumes.

In the sagittal plane, using a method defined by the variant present, two ACG guides were placed in each hemisphere. These guides were used in the coronal plane to help define the ACG for manual segmentation. Anterior to the corpus callosum, the cingulate sulcus served as the dorsal and ventral guide. Manual segmentation was done according to the Atlas of the Human Brain (Mai et al., 1997). These segmentation methods included the subgenual prefrontal cortex as part of the ACG. Hemispheric white matter and gray matter encapsulated in hemispheric white matter were excluded in the trace.

2.6. Statistical analysis 

ACG volumes were adjusted for intracranial volume using the log transformation procedure described by Lange and colleagues to identify outliers (Frazier et al., 2005b, Lange et al., 1997). This procedure adjusts the data by taking the log of the ACG volume which minimizes the increased variability associated with the disease condition. Per category (BD, ASD, and NP), box plots were created, and two data points, previously determined to be outliers prior to log transformation, were included. One outlier was excluded using this method. Analysis of covariance (ANCOVA) was performed independently for both the right and left ACG log volumes with intracranial volume, age, FSIQ, and gender as covariates. Pairwise comparisons were performed using separate post hoc F tests with Bonferroni correction to determine significant differences between diagnostic groups.

Groups were further divided into medication exposed (any medication exposure) and non-exposed groups and ACG volumes were computed per diagnostic group. ANCOVAs compared the ACG volume as the dependent variable and diagnosis and lifetime medication usage as the fixed factors, with age, FSIQ, gender, and intracranial volume as covariates. All data were analyzed using SPSS 11 (SPSS for Windows, Release 11.0.1, 2001).

3. Results 

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The BD, ASD, and NP groups were similar in mean age, gender, and intracranial volume. The BD and ASD groups were similar in mean IQ, while the mean IQ of the NP group was significantly higher than either diagnostic group (Table 1).

Table 1.

Demographics for diagnostic groups

DiagnosisSample size (N)Gender⁎⁎AgeFSIQIntracranial volume (cm3)
(mean±SD)(mean±SD)(mean±SD)
BD16M=1210.63±4.56100.81±12.561231.7±112.0
F=4
ASD24M=2210.50±1.9397.96±16.221296.9±109.0
F=2
NP15M=1210.94±1.65114.67±9.821262.1±126.3
F=3

= significant at p<0.05; control>ASD and BD; FSIQ = full-scale IQ; BD = bipolar disorder; ASD = autism spectrum disorder; NP = children with no psychiatric diagnosis.

⁎⁎ = Fisher's exact (exact sig. 2 sided) p=1.00 between NP and BD; p=0.354 between NP and ASD.

The ANCOVA compared log ACG volumes in the ASD, BD, and NP groups with intracranial volume (ICV), age, gender, and FSIQ as covariates. For the left log ACG volume, a significant difference was found between groups (p=0.001, df=2, F=7.66; covariates: ICV, p<0.001; age, p=0.285; gender, p=0.077; IQ, p=0.349). Post hoc comparison revealed that the left log ACG volume was significantly smaller in the BD group compared to both the NP (p=0.004; effect size=1.48cm3) and ASD groups (p=0.006; effect size=1.66cm3) (Table 2). No group mean differences were found in the right ACG volumes.

Table 2.

Left and right anterior cingulate gyrus volumes

DiagnosisSample size (N)L_ACGR_ACGSignificance (p-value)
mean±SDmean±SDBD vs. ASDBD vs. NPASD vs. NP
(cm3)(cm3)L_ACGR_ACGL_ACGR_ACGL_ACGR_ACG
BD165.23±1.097.17±1.890.0041.000.0061.001.001.00
ASD247.32±2.627.40±1.69
NP156.86±1.157.26±1.18

= significant at p<0.05; significance levels derived from univariate ANCOVAS performed on log-transformed ACG volume data with age, gender, FSIQ, and intracranial volume as covariates; Bonferroni adjustments performed to adjust for multiple comparisons. R_ACG = right anterior cingulate gyrus; L_ACG = left anterior cingulate gyrus; BD = bipolar disorder; ASD = autism spectrum disorder; NP = children with no psychiatric diagnosis. Data are reported as mean volumes.

As shown in Table 3, an ANCOVA with ACG volume as the dependent variable, lifetime medication usage and diagnosis (BD or ASD) as the independent variables, and ICV, age, gender, and FSIQ as covariates, revealed no significant medication effects on either the right or left ACG. Using pairwise comparisons with Bonferroni correction, the BD group exposed to atypical medications was not statistically significantly different from the NP group. The BD groups both positive and negative for lifetime mood stabilizer exposure and negative for lifetime atypical neuroleptic exposure were significantly smaller in the left ACG volume compared to the NP group (p<0.022). Overall, individuals with BD had significantly smaller mean left ACG volume irrespective of medication history when compared to individuals with ASD who were both medicated and non-medicated (Table 3).

Table 3.

Means for left and right anterior cingulate gyrus volumes based upon lifetime medication usage

MedicationDiagnosisEver taken?FrequencyMean left ACG volume (cm3)Mean right ACG volume (cm3)
Mood stabilizerBDYes95.27±1.13a7.50±1.51
No54.83±0.70a6.94±2.71
ASDYes46.80±2.478.29±1.43
No197.57±2.707.26±1.76
Atypical neurolepticBDYes85.57±1.027.51±1.08
No64.52±0.58a7.03±2.15
ASDYes57.57±2.748.00±1.40
No187.40±2.677.28±1.80

Two BD subjects and one ASD subject were excluded from analysis due to missing medication information.

a

Significantly different (p<0.022) from NP.

4. Discussion 

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In this study, the left, but not the right anterior cingulate gyrus was significantly smaller in the pediatric BD group than in both NP control children and children with ASD. The differences between the BD and NP groups replicate results recently reported by three separate studies (Kaur et al., 2005, Sassi et al., 2004, Wilke et al., 2004). The results of this study extend previous findings by indicating that the left ACG volume is smaller in the BD group when compared to an age and IQ matched ASD group with similar medication exposure.

A growing literature suggests involvement of the ACG in cognitive control, one of the many processes important for attention (Carter et al., 2000, Sharp et al., 2006, Whittle et al., 2006). Cognitive control deficits interfere with the ability to sustain attention and ignore distracting stimuli (Quraishi and Frangou, 2002, Whittle et al., 2006). Changes in fMRI activation of the ACG correlate with deficits in cognitive control tasks in neuroimaging studies of BD (Egner and Hirsch, 2005, Lie et al., 2006). Furthermore, subjects with BD perform more poorly on tests of executive function than normal controls, which is related to the volume of the ACG for the BD group (Zimmerman et al., 2006).

Dickstein et al. (2005) speculated that there may be a biological correlation between changes in the left side of the brain and depression. While reduction in left subgenual cingulate volume has been found in pediatric depression (Botteron et al., 2002), no differences in subgenual volumes were reported for a pediatric BD sample (Kaur et al., 2005, Sanches et al., 2005). Kaur et al. found the left anterior cingulate to be smaller in pediatric BD while excluding the subgenual region from measurement (Kaur et al., 2005). The current study differs from these prior studies because our tracing protocol takes into account anatomic heterogeneity of the ACG by defining four variants that include the subgenual region (Gittins and Harrison, 2004, Riffkin et al., 2005).

In the study by Kaur et al., the mean volume of the BD group's left ACG without the subgenual region was 2.49 cm3 (Kaur et al., 2005). From the same group, the mean value for the BD group's left subgenual cingulate region itself was 0.28 cm3 (Sanches et al., 2005). In our study, the mean left ACG volume is 5.23 cm3, which is still much greater than these two volumes combined (2.49 cm3+0.28 cm3=2.77 cm3). The functional meaning of these differences in ACG boundaries requires further study (Fornito et al., 2004). However, it is unlikely that the subgenual region alone contributes to differences in the ACG volume observed in this study.

This study protocol for measuring ACG volume, compared to the previously mentioned studies, extends the caudal margin of the ACG past the anterior commissure (Kaur et al., 2005, Sanches et al., 2005). The paracingulate, when a double cingulate is present, is also included in the ACG volume. Prior studies have shown that the paracingulate markedly influences ACG volume and is often excluded for lack of an ideal segmentation method (Yucel et al., 2001). Future studies should look at the effect of asymmetry in the paracingulate on bipolar disorder, as asymmetry in this structure may have functional significance (Fornito et al., 2004).

A limitation to this study is that the mean IQ in the NP group was significantly higher than in the ASD or BD groups, similar to many pediatric imaging studies (Frazier et al., 2005b, Kumra et al., 2000). Brain structure volume often positively correlates with IQ (Reiss et al., 1996); differences in IQ may account for changes in brain volume. However, the difference in left ACG volume between the NP and BD groups remained after adjusting for IQ differences. More importantly, the mean IQ was similar between the ASD and BD groups and the left ACG volume remained significantly smaller in the BD group compared to the ASD group.

Another limitation to this study is that medication exposure in the ASD and BD groups was similar but not matched or adjusted for lifetime dose equivalents. Due to the sample size, length of time on medication could not be taken into account but subjects were on a stable dose for at least 4 weeks prior to assessment. In adult schizophrenia, increased typical antipsychotic use was associated with increased ACG volumes (Kopelman et al., 2005). Atypical antipsychotic use has also been reported to decrease ACG volume over time (McCormick et al., 2005). In this study, the left ACG volume in individuals with BD exposed to atypical antipsychotic medications was not significantly different from the NP group.

In summary, the left ACG volume is significantly smaller in individuals with BD than age-matched youths with ASD or no psychiatric diagnosis. These findings should be confirmed by larger studies that follow subjects over time, pre- and post-medication exposure. Reduction in left ACG volume may be associated with the increased cognitive dysfunction and mood disorder associated with BD.

Acknowledgements 

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Drs. Cameron Carter and David Amaral graciously provided technical support and scientific guidance. This study was supported in part by grants from the New Jersey Governor's Council on Autism and the Stanley Foundation Research awarded to Dr. Hendren and Dr. Bates, and by a K02 AA 00325 to Dr. Bates from the National Institute of Alcohol Abuse and Alcoholism.

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a Department of Psychiatry and Behavioral Sciences and The Medical Investigation of Neurodevelopmental Disorders (M.I.N.D.) Institute, University of California, Davis Medical Center, United States

b The Center of Alcohol Studies, Rutgers, The State University of New Jersey and UMDNJ/Robert Wood Johnson Medical School, United States

c Kessler Medical Rehabilitation Research and Education Corporation, UMDNJ-New Jersey Medical School, United States

d Assistant Clinical Professor of Psychiatry, Robert Wood Johnson Medical School, Janssen Pharmaceutica, United States

e Touro College of Osteopathic Medicine, Vallejo, CA, United States

Corresponding Author InformationCorresponding author. Department of Psychiatry and Behavioral Sciences and The M.I.N.D. Institute, University of California, Davis Medical Center, 2825 50th Street, Sacramento, CA 95817, United States. Tel.: +1 916 703 0246; fax: +1 916 703 0244.

PII: S0165-0327(07)00143-7

doi:10.1016/j.jad.2007.04.019


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