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Decreased cerebral blood flow in the limbic and prefrontal cortex using SPECT imaging in a cohort of completed suicides

Translational Psychiatry volume 1, page e28 (2011) | Download Citation

Abstract

Suicide has a high comorbidity with impulsivity and depression, and finding imaging biomarkers indicative of patients at high risk for suicidal behavior is invaluable to the clinician. Using single-photon emission computed tomography (SPECT) imaging, we have previously reported regional cerebral blood flow (rCBF) decreases in the medial prefrontal cortex, ventral tegmental area and subgenual cingulate cortex (Brodmann area 25 (BA 25)), a region found to be hypoperfused with treatment-resistant depression. From 2007 to 2010, we have extended our analysis to include nine additional completed suicides. In all, 27 healthy, age- and gender-matched subjects from a previously acquired healthy brain study served as controls to our 21 completed suicides. All 21 suicides had been previously diagnosed with depression according to Diagnostic and Statistical Manual of Mental Disorder-IV criterion. Voxel-by-voxel analyses were performed using statistical parametric mapping to compare the differences in technetium-99m hexamethylpropylene amine oxime brain uptake between the groups. Factor analysis of the data identified the top 10 regions of hypoperfusion in the suicidal group, including the bilateral superior frontal lobes, the right precuneus, the rolandic operculum, postcentral gyrus, left caudate and insular cortex. We also demonstrate more focal decreases in rCBF in the subgenual cingulate cortex (BA 25) in 18 subjects, supporting our previous hypothesis that hypoperfusion of BA 25 may be a risk factor for suicide in depressed patients. This work suggests that SPECT might be useful in predicting risk for suicide completion in subjects with depression or treatment-resistant depression. Further investigation of this work is necessary to better understand the predictive value of this finding.

Introduction

The World Health Organization estimates that 1 000 000 people die yearly from suicide.1 Although suicide is growing at an alarming rate, it is a poorly understood psychiatric disorder and is currently ranked among the top 10 leading causes of death in the United States,2 with 16 suicides committed per every 100 000 individuals worldwide.1 Analysis of data from the US National Comorbidity Survey-Replication, the first nationally representative mental health survey in the United States, revealed that 80% of suicide attempts were due to mental disorders, primarily related to anxiety, mood, impulse control and substance abuse.3 Of the mental disorders, major depressive disorder is considered one of the top four psychiatric risk factors associated with an increased predisposition towards suicidal ideation and attempted suicide.4 The use of anatomical and functional imaging studies to expand our understanding of the neurobiology underlying suicide is clearly needed.

The etiology of suicide is complex, and most likely it is the subtle neuroanatomic changes that result in the social and emotional problems observed in these patients. As suicide has many comorbid risk factors, determining causality requires understanding the extent to which comorbidity effects brain structure and function. Bipolar disease is one such comorbidity, and several neuroanatomic imaging studies suggest that this is a disorder that results in decreased gray matter volume in the subgenual prefrontal cortex (Brodmann area 25 (BA 25)).5, 6, 7 The subgenual prefrontal cortex is important in the regulation of mood and emotions, and bilateral decreases in brain volume have been observed in individuals with major depressive disorder.8 We have previously reported a decrease in rCBF in the subgenual prefrontal cortex in a small cohort of completed suicides.9 Interestingly, in patients with treatment-resistant depression, single-photon emission computed tomography (SPECT) imaging has been used to show increased rCBF in the subgenual cingulate gyrus in patients who were positive responders to citalopram.10 Taken together, these results suggest that decreased activity of the subgenual cingulate gyrus in those with depression or mood disorder may be predisposed to suicidal tendencies.

The aim of this study was to retrospectively analyze a cohort of psychiatric patients who have committed suicide and compare the changes in rCBF to that of a previously acquired healthy brain cohort. Our prior data on 12 completed suicides revealed a unique finding of hypoperfusion in the subgenual cingulate cortex (BA 25). Furthermore, we analyzed this cohort against a group of depressed, non-suicidal subjects with similar clinical profiles. Overall, we aim to further characterize the underlying rCBF deficits in this cohort of completed suicides who exhibit depression as a comorbid factor.

Methods

Using a previously acquired database of over 64 000 SPECT scans from patients seen across four clinics in the United States, we retrospectively pulled the data of 21 completed suicides, which occurred from 1992 to 2010. Within this time frame, 38 000 patients had been evaluated at one of the clinics, of which 74% were diagnosed as having a mood disorder or depression. All patients in the suicide group had been previously evaluated by a board-eligible or -certified psychiatrist for depression. They each underwent a detailed clinical history, mental status examination and Beck Depression Inventory (BDI). Table 1 outlines the patient demographics and psychiatric history and Table 2 gives a profile of the medication history for each patient at the time of the visit. All of the subjects fit the clinical criteria for depression based on the BDI, Diagnostic and Statistical Manual of Mental Disorder-IV (DSM-IV) or had been given a diagnosis of mood disorder. Within this group, 16 patients had at least one prior suicide attempt, and nine had expressed suicidal ideations. In addition, 13 patients had been diagnosed with attention deficit hyperactivity disorder (ADHD) as measured by DSM-IV criteria. A total of 12 patients had experienced prior head trauma and 11 had problems with substance abuse. In all, 27 subjects previously acquired under an institutional review board-approved healthy brain study were selected who were within 5 years of age and the same gender as at least one member of the suicide cohort. Two participants in our suicide group were not age matched within 5 years as we did not have elderly males aged 63 and 64 years in our healthy brain subjects (HBSs). The mean age of the suicide cohort was 36±14.0 years (15–64 years), whereas the mean age of the healthy brain cohort was 35±9.6 years (20–52 years).

Table 1: Suicide cohort demographics and psychiatric diagnoses
Table 2: Suicide cohort medication history

We next compared our group of 21 completed suicides to a control group of 36 non-suicidal depressed patients. Depressed controls were selected by using a search algorithm that matched each subject with someone of the same gender who was within 10 years of age, without suicide ideation or history of suicide attempt and whose diagnostic profile matched the criteria of having depression, anxiety disorder, bipolar disorder and head trauma. Two passes of the search algorithm were run to arbitrarily select two matches for each suicide subject. Only one match was found for each subject on the first pass and on the second pass matches were found for 15 subjects giving a set of 36 non-suicidal depressed controls with an average age of 36±15 years (15–66 years).

SPECT scans

Each subject underwent high-resolution brain SPECT imaging to measure regional cerebral blood flow (rCBF) as part of their evaluation. Each subject received an age/weight-appropriate dose of technetium-99m hexamethylpropylene amine oxime intravenously. Subjects were injected in normal lighting while they performed the Conner's Continuous Performance Test II. The radiopharmaceutical was injected 3 min after starting the 15-min test. All subjects completed the task. Subjects were then scanned 30 min later using a high-resolution Picker Prism 3000 triple-headed gamma camera with fan beam collimators, acquiring data in 128 × 128 matrices, yielding 120 images per scan, with each image separated by 3° spanning 360°.

SPECT data were processed and attenuation correction performed using general linear (Chang) methods. All images were reconstructed and resliced using an oblique reformatting program, according to anterior–posterior commissure line, so that the final images were similarly aligned for analysis.

Image analysis

Differences in hexamethylpropylene amine oxime uptake were analyzed using the SPM8 software (Wellcome Department of Cognitive Neurology, London, UK) implemented on the Matlab platform (MathWorks Inc., Sherborn, MA, USA). Statistical parametric maps (SPMs) are spatially extended statistical processes that are constructed to test hypotheses about regionally specific effects in neuroimaging data. SPM combines the general linear model and the theory of Gaussian random fields to make statistical inferences about regional effects.11 The images were spatially normalized using a 12-parameter affine transformation, followed by nonlinear deformations12 to minimize the residual sum of squares between each scan and a reference or template image conforming to the standard space defined by the Montreal Neurological Institute template. The original image matrix obtained at 128 × 128 × 29 with voxel sizes of 2.16 × 2.16 × 6.48 mm3 was transformed and resliced to a 79 × 95 × 68 matrix with voxel sizes of 2 × 2 × 2 mm3 consistent with the Montreal Neurological Institute template. Images were smoothed using an 8 mm full-width at half-maximum isotropic Gaussian kernel.

Data analysis

We compared the SPECT scans from the suicide cohort versus the healthy brain cohort using SPM with a two-sample t-test using covariance to control for the effects of age and gender. Factorial modeling in SPM was used for regression of the binary variable having completed suicide against rCBF while using covariance to control for the effects of age and gender.

Results

We age and gender matched our suicide cohort of 21 subjects with 27 HBSs. Within the suicide cohort, all had met the clinical criteria of having depression as measured by the BDI and DSM-IV. Additional comorbidities within this group include attention deficit hyperactivity disorder, post-traumatic stress disorder, anxiety, substance abuse and head trauma (see Table 1). Over half of the subjects had dual diagnoses of depression with ADHD, substance abuse or head trauma. In total, 16 subjects report one prior suicide attempt, with nine having experienced incidence of suicidal ideations. Issues with post-traumatic stress disorder, physical violence and sexual abuse were also reported within this cohort, but the incidence was low. Within the HBS group, each had met the clinical criteria for a healthy brain subject, which included the absence of current medical illnesses, past brain trauma, family history of psychiatric illness, current or past drug or alcohol abuse and no current or past evidence of neurological, behavioral or psychiatric issues as measured by a detailed clinical history, Minnesota Multiphasic Personality Inventory and Structured Clinical Interview for Diagnosis for DSM-IV. The mean age for the suicide cohort was 36±14.0 years (16 men, 5 women), whereas for the HBS cohort, it was 35±9.6 years (17 men, 11 women). SPM analysis on the concentration brain SPECT imaging scans of the suicide group revealed diffuse regions of hypoperfusion across the brain at P<1 × 10−10 family-wise error (FWE) corrected as compared to the HBS group. Figure 1 depicts the three-dimensional (3D) cortical surface views showing global brain SPECT decreases in rCBF in the suicide subjects.

Figure 1
Figure 1

Three-dimensional (3D) surface images showing global brain single-photon emission computed tomography (SPECT) decreases in suicide subjects versus healthy brain subjects. Cortical surface views show decreased regional cerebral blood flow in suicide subjects at P<1 × 10−10, family-wise error (FWE ). Significant decreases are in blue. No increases were observed.

To determine which deficits in rCBF were most predictive of being in the suicide group, we used multiple regression analysis within SPM and controlled for age and gender. The 10 most significant regions of decreased rCBF in terms of cluster size that were found to be most predictive of the suicide cohort are listed in Table 3. Factor analysis revealed the five most predictive areas of reduced blood flow in suicide patients include the bilateral superior frontal lobes, right precuneus, rolandic operculum, postcentral gyrus and left caudate–thalamus. The regional areas as identified through SPM analysis are as follows: Region 1 shows the most significant decrease in rCBF with an overall cluster size of 520 voxels and is located in the right precuneus (coordinates 18, −48, 16; t=4.84). Region 2 encompasses the frontal lobes with a cluster size of 505 voxels in the right frontal superior medial cortex (coordinates 14, 46, 46; t=4.53) and 373 voxels in the left frontal superior cortex (coordinates −16, 48, 42; t=4.35). Regions 3–5 include the rolandic operculum (coordinates 42, −12, 22; t=4.17), left postcentral gyrus (coordinates −48, −12, 58; t=4.12) and left caudate (coordinates −12, −16, 22; t=4.11). Figure 2 shows the 3D cortical representation of these brain regions and Figure 3 illustrates these areas through transverse, coronal and sagittal slices (P<0.05, FWE).

Table 3: Top 10 regions of decreased rCBF predictive of suicide relative to a healthy brain cohort at P<0.05 FWE
Figure 2
Figure 2

Three-dimensional (3D) surface images showing regional cerebral blood flow (rCBF) deficits predictive of suicide. Cortical surface views show areas of decreased rCBF, which predict suicide at P<0.05, family-wise error (FWE). Significant decreases are in blue.

Figure 3
Figure 3

Image sections showing regional cerebral blood flow (rCBF) decreases predictive of completing suicide. Transverse, coronal and sagittal sections showing predictive areas of suicide: Transverse 49—postcentral left; 69—right and left frontal areas; 88—frontal inferior right, postcentral right, caudate right, thalamus right, precuneus right; 94—frontal inferior right, postcentral right, caudate right, thalamus right, precuneus right; 97—insular cortex right, caudate right, insular cortex left, precuneus right; 113—insular cortex right, frontal inferior orbital left (Brodmann area (BA) 25). Coronal 36—left and right frontal lobes; 49—frontal superior right, frontal superior left, insular cortex; 56 frontal superior right, frontal superior left, inferior frontal right, frontal inferior orbital left (BA25); 74—insular cortex right, caudate right, insular cortex left; 104—rolandic operculum right, thalamus right, postcentral left, 144—precuneus right. Sagittal 45—rolandic operculum right; 60—frontal cortex right, insular cortex right, frontal inferior cortex right (BA 25); 76—frontal cortex, caudate right, precuneus; 80—frontal cortex, caudate, thalamus right, precuneus; 97—frontal inferior orbital left (BA 25), thalamus; 138—postcentral left.

A region-of-interest analysis was applied to BA 25. Individual analysis revealed that 18 subjects had decreased rCBF in BA 25 as compared with HBSs. Of these subjects, 13 were 1 s.d. below the mean from the HBS. Group analysis showed that the suicide cohort had a lower overall average rCBF in BA 25 as compared with our healthy brain cohort at P=0.001 and t=3.45 (suicide cohort: 509±200; HBS: 668±115). No significant increases were observed.

To further differentiate the changes in rCBF in our suicide cohort from a group of depressed patients with a similar clinical profile who are non-suicidal, we performed an SPM analysis on concentration SPECT scans and found diffuse regions of hypoperfusion in rCBF throughout the brain of the suicide group at P<1 × 10−5 FWE. Figure 4 depicts the 3D cortical surface views showing global brain SPECT decreases. When comparing available BDI scores, the suicide cohort (n=15) scored higher (27.5±11.5) than the non-suicidal cohort (n=27) (15.0±7.0) (t(40,2)=−4.36, P<0.01). Regression analysis across our healthy brain cohort, depressed non-suicidal cohort and suicide cohort showed that rCBF throughout the brain continued to decrease with severity of illness (P<1 × 10−10).

Figure 4
Figure 4

Three-dimensional (3D) surface images showing global brain single-photon emission computed tomography (SPECT) decreases in suicide cohort versus depressed non-suicidal cohort. Cortical surface views show diffuse regions of decreased regional cerebral blood flow in suicide subjects at P<1 × 10−5, family-wise error (FWE) in comparison to non-suicidal subjects with matched diagnostic profiles. Significant decreases are in blue. No increases were observed.

A regression model demonstrating decreases in rCBF predictive of suicide using the two clinical populations revealed large, diffuse clusters throughout the brain, but at a low level of significance (P<0.01 without FWE). Figure 5 shows the 3D cortical representation of these brain regions. The results did not survive higher significance criteria; hence, these large clusters could not be reduced. However, we observed a trend of decreases in the frontal, temporal and parietal areas associated with suicide completion. The 10 most significant regions of decreased rCBF in terms of cluster size found to be most predictive of the suicide between these clinical profiles are listed in Table 4.

Figure 5
Figure 5

Three-dimensional (3D) surface images showing regional cerebral blood flow (rCBF) deficits predictive of suicide completion in suicide cohort versus a depressed non-suicidal clinical population. Cortical surface views showing areas of decreased rCBF predictive of suicide in completers versus depressed non-suicidal subjects with matched diagnostic profiles at P<0.01, without family-wise error (FWE). Significant decreases are in blue.

Table 4: Top 10 regions of decreased rCBF predictive of suicide in depressed suicidal patients versus depressed non-suicidal patients

Discussion

The use of neuroimaging tools can be valuable in elucidating the neurobiological correlates underlying suicidal behavior. Here, we report the results of 21 completed suicides along with their comorbidities in an effort to better understand the alterations in metabolism and activity patterns that underlie this growing epidemic. We compared these subjects to a previously acquired database of SPECT scans from healthy patients, who have no prior psychiatric history and no family history of psychiatric behavior. This database allowed us to age and gender match this group to our suicide cohort. We also had extensive psychiatric profiles on each patient, allowing for deeper examination into the relationship between the SPECT findings and their clinical correlates.

Our primary finding demonstrates global decreases in blood flow and activity patterns in the suicide group versus a healthy comparison group. This finding was robust, even at P<1 × 10−10, and given the comorbidity of depression, ADHD, head trauma and bipolar diagnosis in our suicide cohort may indicate compromise among numerous neuronal pathways. However, although such comorbidity is often observable in clinical populations, not all of these cases end in suicide, thus differentiating those at risk is of value. The use of factorial modeling allowed us to differentiate distinct areas of neuronal deficits from a global pattern of neurological compromise, which were predictive of later suicide.

Over 90% of all suicides can be attributed to a psychiatric diagnosis,13 with depression and bipolar disorder carrying the highest risk.14, 15 This was consistent within our cohort, all of whom were diagnosed as clinically depressed or as having a mood disorder through the BDI, Structured Clinical Interview for Diagnosis for DSM-IV or psychiatric evaluation. Neuroimaging has been a useful tool to demonstrate the link between depression, serotonergic dysfunction and suicide. Post-mortem studies of suicide patients found decreased 5-hydroxytryptamine (5-HT1A)/5-HT2A receptor binding in the ventrolateral prefrontal cortex, spurring in vivo imaging work in this area.16 SPECT imaging studies have confirmed reduced binding of 5-HT2Aa receptors in the frontal lobes of suicide attempters17, 18 and decreased serotonin transporter availability in suicide attempters with 5-HTT polymorphisms19 indicative of serotonin abnormalities playing a role in suicide risk. Verbal fluency tasks have been used as a measure of executive ability in SPECT imaging, indicating prefrontal cortex function.20 Audenaert et al.21 showed decreased prefrontal perfusion correlated with poor performance on a verbal fluency task in depressed suicidal patients. Given that our study demonstrates decreased perfusion bilaterally in the superior/medial prefrontal cortex in a cohort of completed suicides with depression as a comorbid factor, it indicates potential deficits in the serotonergic system as well as in tasks associated with this brain region, including attention, memory and executive function.

In addition to elucidating the involvement of the serotonin system in suicidal behavior (5-HT1A/5-HT2A receptor binding, 5-HTP receptor density, serotonin transporter polymorphisms), understanding the personality traits (impulsivity, aggression, anger, hopelessness) associated with suicidal ideation and suicide attempt is prudent. Our data demonstrate extreme deficits in the frontal cortex (the second and third most significant brain region decreased), indicating that our patient population was at high risk for problems with impaired judgment. Jollant et al.22 and others have shown that dysfunction in the orbitofrontal cortex is associated with suicide attempts and the tendency to make risky (disadvantageous) behavior choices. Within our cohort, not only were 13 subjects clinically diagnosed with attentional problems, 10 had a history of prior suicide attempt. High impulsivity is a predictor of self-aggression,23 and when combined with a prior history of suicide attempt, it amplifies the risk for suicide completion.

In examining our data, we wanted to further elucidate the relationship between the various hypoperfused brain regions and their respective influence on the self and the ability to cope with physical, mental and emotional pain. We found that the most pronounced region of decreased rCBF was in the precuneus, an area important in episodic memory24 and reflections upon the self.25 This was followed by the prefrontal cortex, which not only was important in drive and executive function, but also in processing information about the self,25, 26, 27 as well as in coping with negative emotions28 and rejection.29 Other deficits include the rolandic operculum and postcentral gyrus, areas involved in processing sensory input, along with the caudate and thalamus, regions which contribute to emotional processing. Finally, we observed decreases in the insular cortex, a component of the limbic system involved in the management of physical and emotional pain.30 Overactivity of the right anterior insular cortex and right ventral prefrontal cortex have been found to be involved in processing frustration.31 Taken together, global deficits across these emotion encoding circuits may result in the underlying inability to properly perceive the self and to cope with life events, which result in the hopelessness and social isolation so commonly observed in those who commit suicide. This situation becomes exacerbated when combined with other factors, including depression, anxiety, post-traumatic stress disorder, drug use, head trauma and sexual abuse.

Developing new diagnostic markers is one way to reduce the prevalence of suicide. In our cohort of completed suicides, the subgenual cingulate cortex (BA 25) was found to be hypoperfused in 18 patients as compared with a healthy brain group. This is a significant finding, which implies that this region may serve as a potential neuroimaging biomarker for suicide. BA 25 is a region found to modulate human mood states and helps to integrate cognitive and emotional information. It is also an area well populated with serotonin receptors. If deficits in BA 25 are combined with decreased rCBF in the prefrontal cortex, an area associated with executive function and impulsivity, the risk factors for suicide increase exponentially. We believe this to be the case in our cohort, as 13 subjects were diagnosed with ADHD. Therefore, the combination of impulsivity, decreased rCBF in BA 25 and depression elevates patients into a high-risk category for suicidal behavior.

Our secondary finding demonstrates more subtle, global decreases in blood flow and activity patterns in the suicide group versus a matched clinical population of depressed, non-suicidal individuals. Factorial modeling revealed this effect was weak (at P<0.01 without FWE). This suggests that the rCBF profile is too diffuse to distinguish specific patterns that will help the clinician identify the depressed, suicidal patient from the depressed non-suicidal patient. However, given the significant rCBF deficits between suicide completers and non-suicidal depressed patients, it may be that the differentiating factor is the degree to which the metabolic activity of the brain is compromised versus specific regional differences in blood flow. A more definitive answer to this question will require increasing the number of patients studied to identify regional patterns between these two clinical populations.

The data in this paper not only support our previous work,9 but extend it to include significant deficits in rCBF to the emotional regulating circuits of the putamen, caudate, thalamus and insula, and also to highlight BA 25 as a potential biomarker for suicide. We propose that hypoperfusion of the prefrontal cortex and BA 25, along with dysregulation of the emotional circuits representing the self and the ability to cope with pain, may make a depressed patient more vulnerable to suicide. More research is needed to replicate our findings and to define the relative importance of any functional brain deficiencies predictive of suicide.

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Acknowledgements

We thank David Keator for his consultation. Dr Daniel G Amen, MD, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Author contributions

Primary investigator: DGA; data analysis: DT; project management: KW.

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  1. Department of Research, Amen Clinics Inc., Newport Beach, CA, USA

    • K Willeumier
    • , D V Taylor
    •  & D G Amen

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The authors declare no conflict of interest.

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https://doi.org/10.1038/tp.2011.28

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