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. Author manuscript; available in PMC: 2015 Sep 1.
Published in final edited form as: Am J Prev Med. 2014 Sep;47(3 0 2):S152–S162. doi: 10.1016/j.amepre.2014.06.009

Neurobiological Risk Factors for Suicide Insights from Brain Imaging

Elizabeth T Cox Lippard 1, Jennifer AY Johnston 1, Hilary P Blumberg 1
PMCID: PMC4143781  NIHMSID: NIHMS614146  PMID: 25145733

Abstract

Context

This article reviews neuroimaging studies on neural circuitry associated with suicide-related thoughts and behaviors to identify areas of convergence in findings. Gaps in the literature for which additional research is needed are identified.

Evidence acquisition

A PubMed search was conducted and articles published prior to March 2014 were reviewed that compared individuals who made suicide attempts to those with similar diagnoses who had not made attempts or to healthy comparison subjects. Articles on adults with suicidal ideation and adolescents who had made attempts, or with suicidal ideation, were also included. Reviewed imaging modalities included structural magnetic resonance imaging, diffusion tensor imaging, single photon emission computerized tomography, positron emission tomography, and functional magnetic resonance imaging.

Evidence synthesis

Although many studies include small samples, and subject characteristics and imaging methods vary across studies, there were convergent findings involving the structure and function of frontal neural systems and the serotonergic system.

Conclusions

These initial neuroimaging studies of suicide behavior have provided promising results. Future neuroimaging efforts could be strengthened by more strategic use of common data elements, and a focus on suicide risk trajectories. At-risk subgroups defined by biopsychosocial risk factors and multidimensional assessment of suicidal thoughts and behaviors may provide a clearer picture of the neural circuitry associated with risk status—both current and lifetime. Also needed are studies investigating neural changes associated with interventions that are effective in risk reduction.

Introduction

This paper reviews neuroimaging studies on neural circuitry associated with suicide-related thoughts and behaviors in an effort to recommend next research steps. Multiple neuroimaging methods have been employed to investigate the neural circuitry of suicide-related thoughts and behaviors. These include techniques to study brain structure, including structural magnetic resonance imaging (sMRI) for gray matter (GM) and white matter (WM) morphology and WM hyperintensities (WMH, bright signals on T2-weighted MRIs), and diffusion tensor imaging (DTI) for structural integrity of WM connections. Several functional neuroimaging methods (single photon emission computerized tomography [SPECT], positron emission tomography [PET], and functional magnetic resonance imaging [fMRI]) have been used to study regional brain activity, functional connectivity, and neurotransmitter function.

Evidence Acquisition

A search was performed in PubMed for original research manuscripts written in English prior to March 2014. Combinations of the term suicide with terms structural magnetic resonance imaging, functional magnetic resonance imaging, positron emission tomography, single-photon emission computed tomography, diffusion tensor imaging, gray matter, or white matter, were used. Fifty-seven pertinent articles that directly investigated the relationship between aspects of suicide behavior (i.e., attempt history, lethality, and suicide ideation) and neuroimaging findings were chosen and evaluated in a non-quantitative manner.

Evidence Synthesis

In the majority of studies, attempters and non-attempters with a particular diagnosis were compared to each other, and sometimes to a healthy control (HC) group (summarized in Table 1). The most common studied diagnoses were major depressive disorder (MDD) and bipolar disorder (BD), followed by schizophrenia, borderline personality disorder (BPD), traumatic brain injury (TBI), and epilepsy. Studies of adults with attempts are discussed first, followed by adults with ideation. We then summarize findings in older adults and adolescents.

Table 1.

Neuroimaging studies of groups with suicide attempters

Authors
and year
Group with history of
suicide attempts
Group(s)
without
attempts
Methods Findings
Structural Magnetic Resonance Imaging Studies of Gray Matter and White Matter
Aguilar et al
20083
13 M with SCZ,
MA 37 yrs
24 DCs VBM of GM
density
OFC and superior temporal GM density, relative to DCs
Baldacara et
al 201110
20 with BD,
MA 40 yrs
20 DCs,
22 HCs
VBM of GM and
WM brain
volume; ROI
volume
No significant differences in total brain volume or cerebellar
volume
Benedetti et
al 20112
19 with BD,
MA 45 yrs
38 DCs VBM of GM
volume
GM volume in DLPFC, OFC, ACC, superior temporal,
parietal and occipital cortex and in bilateral superior termporal
gyrus, relative to DCs. With lithium GM volume in same
regions (DLPFC, OFC, ACC, superior temporal, parietal and
occipital cortex) and in bilateral superior temporal gyrus
Giakoumatos
et al 20136
148 with SCZ, SZA or
BD-P,
MA 36 yrs
341 DCs,
262 HCs
VBM of GM
volume
GM volume in bilateral superior/middle frontal, and
inferior/superior temporal regions, left superior parietal and
supramarginal regions, and right insula and thalamus, relative to
DCs and HCs. High (vs. low) lethality showed in left lingual
area and right cuneus
Matsuo et al
201012
10 F with BD,
MA 36 yrs
10 DCs,
27 HCs
ROI area Anterior CC genu area associated with impulsivity
Monkul et al
20071
7 F with MDD,
MA 31 yrs
10 DCs,
17 HCs
ROI volume OFC GM, relative to HCs. amyg volumes, relative to DCs
Riisch et al
200811
10 with SCZ,
MA 30 yrs
45 DCs,
55 HCs
VBM of GM and
WM
bilateral inferior frontal WM volume, relative to DCs. In SCZ
inferior frontal related to self-aggression
Soloff et al
20124
44 with BPD (25 high
lethality),
MA 30 yrs
24 DCs,
52 HCs
ROI volume insula GM, relative to DCs. in high lethality attempters in
OFC, middle/superior temporal gyrus, insula, fusifrom gyrus,
lingual gyrus and parahippocampal gyrus
Spoletini et
al 20115
14 with SCZ,
MA 43 yrs
36 DCs,
50 HCs
ROI volume amyg, relative to DCs and HCs. In the SCZ group, amyg
volume associated with self-aggression
Vang et al
20109
7 (4 with MDD, 2 AD),
MA 38 yrs
6 HCs 1231-β-CIT
methods to
separate 5-HTT
and DAT uptake
in ROIs
GP and caudate, relative to HCs and correlated with 5-HTT
binding. In attempters, GP volumes inversely correlated with
non-impulsive temperament
Wagner et al
20117
15 with MDD (10 with
suicide behavior, 5
with first degree
relatives with suicidal
behavior),
MA 41 yrs
15 DCs,
30 HCs
VBM of GM
density
inferior frontal cortex, ACC, caudate, amyg/HP formation,
relative to HCs. ACC and caudate, relative to DCs
Wagner et al
20128
Same sample as in
Wagner et al 2011
above
15 DCs,
30 HCs
Cortical thickness ventrolateral PFC, DLPFC and ACC, relative to DCs and HCs
Older Adults
Cyprien et al
201149
21 (85.7% MDD,
36.8% AXD, 10.5%
BD),
MA 72 yrs
180 DCs,
234 HCs
ROI area posterior third of CC, relative to DCs and HCs
Dombrovski
et al 201247
13 with MDD,
MA 66 yrs
20 DCs,
19 HC
ROI voxel counts putamen GM, relative to DCs and HCs. in associative and
ventral striatum, relative to DCs. Suicide attempters with
putamen GM had higher delayed discounting
Hwang et al
201048
27 M with MDD,
MA overall MDD
sample 79 yrs
43 DCs,
26 HCs
VBM of GM and
WM
GM and WM volume in the frontal, parietal, and temporal
regions, insula, lentiform nucleus, midbrain, and cerebellum,
relative to DCs
Magnetic Resonance Imaging Studies of Hyperintensities on T2-weighted Images
Ehrlich et al
200514
62 MDD,
MA overall sample 27
yrs
40 DCs Assessment of
WMH
PVH
Pompili et al
200813
44 with BD I or II or
MDD,
MA 46 yrs
55 DCs Assessment of
WMH
PVH
Older Adults
Ahearn et al
200145
20 MDD,
MA 66 yrs
20 DCs Assessment of
WMH
subcortical GM hyperintensities, and trend towards more PVH
Children and Adolescents
Ehrlich et al
200352
43 inpatients with
varying diagnoses
MA overall sample 15
yrs
110 DCs Assessment of
WMH
deep WMH in right parietal lobe associated with suicide
attempts
Ehrlich et al
200453
43 inpatients with
varying diagnoses (25
MDD)
MA overall sample 15
yrs, MA MDD
subgroup 15 yrs
110 DCs
(23
MDD)
Assessment of
WMH
Within the MDD subgroup in WMH, particularly PVH
Diffusion Tensor Imaging Studies
Jia et al
201020
16 with MDD,
MA 34 yrs
36 DCs,
52 HCs
Voxel-based
analyses of FA
FA in the ALIC, relative to DCs and HCs, FA in the frontal
lobe, relative to HCs, and FA in the lentiform nucleus, relative
to DCs
Jia et al
201322
23 with MDD,
MA 36 yrs
40 DCs,
46 HCs
Tractography,
ROI of FA
mean percentage of fibers through the ALIC to the left OFC
and thalamus, relative to DCs. FA in medial frontal cortex,
OFC, thalamus, and total ALIC fibers, relative to HCs
Lopez-
Larson et al
201323
19 with TBI,
MA 38
40 DCs,
15 HCs
ROI of FA FA in bilateral thalamic radiations, relative to DCs and HCs
Mahon et al
201219
14 with BD,
MA 33 yrs
15 DCs,
15 HCs
Tract-based spatial
statistical and
voxel-based
analyses
FA in OFC WM, relative to DCs. In BD with attempts, OFC
WM FA inversely correlated with motor impulsivity
Olvet et al
201421
13 with MDD,
MA 33 yrs
39 DCs,
46 HCs
ROI and tract-
based spatial
statistical of FA
and ADC
FA in dorsomedial PFC, relative to DCs and HCs. No
difference in ADC
Single Photon Emission Tomography Studies
Audenaert et
al 200134
9 (4 with MDD, 4 AD,
1 brief psychotic
disorder, 4 comorbid
PDs),
MA 32 yrs
12 HCs 123I-5-I-R91150
for 5-HT2a
receptors in PFC
PFC binding potential of 5-HT2a receptors
Audenaert et
al 200224
20 MDD,
MA 32 yrs
20 HCs 99mTc-Ethyl
Cystine Dimer
rCBF SPECT
during letter and
category fluency
tasks
PFC response during letter and category fluency paradigms,
relative to HCs
Bah et al
200833
9 unmedicated M (6
with MDD, 1 AD,
and/or 5 PDs),
MA 41 yrs
9 HCs 1231-β-CIT for 5-
HTT availability,
assessment of
SLC6A4
polymorphisms
In attempters, 5-HTT availability associated with the “s”
allele of 5-HTTLPR and 12 repeat allele of STin2
van
Heeringen et
al 200335
9 (3 with MDD, 4 AD,
1 brief psychotic and/or
4 PDs),
MA 32 yrs
13 HCs 123I-5-I-R91150
for 5-HT2a
receptors in PFC
PFC binding potential of 5-HT2a receptors. 5-HT2a
binding associated with hopelessness and harm avoidance
Lindström et
al 200436
12 (3 with MDD, 3
MDD + SA, 3 AD, 1
DE-NOS, 1 SP, 3
undiagnosed),
MA 39 yrs
12 HCs 1231-β-CIT
methods to
separate 5-HTT
and DAT uptake
No significant differences in 5-HTT or DAT. In attempters,
impulsivity associated with whole brain 5-HTT binding.
Ryding et al
200637
12 (5 with MDD, 3
AD, 1 AXD and/or 6
PDs),
MA 39 yrs
12 HCs 1231-β-CIT
methods to
separate 5-HTT
and DAT uptake
In attempters, impulsivity associated with 5-HTT binding
in OFC, temporal regions, midbrain, thalamus, basal ganglia, and
cerebellum, and mental energy with DAT binding in basal
ganglia
Willeumier
et al 201125
21 scanned previously
who completed suicide
with mood disorders,
MA 36 yrs
36 DCs,
27 HCs
99mTc HMPAO
SPECT to assess
rCBF
rCBF in superior PFC, operculum, postcentral gyrus,
precuneus, caudate and insula. rCBF in the subgenual ACC in
18 of the 21 subjects
Positron Emission Tomography Studies
Cannon et al
200630
8 BD with current
depressive episode,
MA 30 yrs (overall BD
sample)
10 DCs,
37 HCs
5-HTT binding
potential measured
with 11C-DASB
5-HTT binding in the midbrain and in the ACC, relative to
DCs and HCs
Leyton et al
200629
10 high lethality
suicide attempters (2
with mood disorder, 8
cluster B PD, 6 SA),
MA 38 yrs
16 HCs Alpha-11C-
methyl-L-
tryptophan
trapping as index
of 5-HT synthesis
5-HT synthesis in OFC and ventromedial PFC
Miller et al
201331
15 with MDD,
MA 39 yrs
36 DCs,
32 HCs
11C-DASB to
quantify in vivo
regional brain 5-
HTT binding
5-HTT binding in midbrain, relative to DCs and HCs
Nye et al
201332
11 with MDD,
MA 39 yrs
10 HC 11C-ZIENT PET
to measure 5-HTT
5-HTT in the midbrain/pons and putamen
Oquendo et
al 200328
16 with MDD with
high lethality
attempts/9 MDD with
low lethality attempts,
MA 43 yrs/30 yrs
18F-FDG PET,
fenfluramine vs.
placebo challenge
rCMRglu in ventral, medial, and lateral PFC, compared to
low-lethality attempters, more pronounced after fenfluramine.
ventromedial PFC activity associated with impulsivity and
suicidal planning. rCMRglu associated with verbal fluency
Soloff et al
200326
13 with BPD (12
with attempts),
MA 25 yrs
9 HCs 18F-FDG PET
during rest
Bilateral rCMRglu in the medial OFC
Sublette et al
201327
13 with MDD or BD,
MA 36 yrs
16 DCs 18F-FDG PET,
fenfluramine vs.
placebo
rCMRglu in right DLPFC, more pronounced after
fenfluramine, ventromedial PFC activity, not detected after
fenluramine. Suicide ideation correlated negatively with
rCMRglu in an overlapping DLPFC region
Functional Magnetic Resonance Imaging Studies
Jollant et al
200838
13 M with MDD,
MA 40 yrs
14 DCs,
16 HCs
Response to
intense or mild,
angry or happy
face stimuli,
compared to
responses to
neutral face
stimuli
response in lateral and in superior frontal cortex to angry
vs. neutral, anterior cingulate gyrus to mild happy vs. neutral,
cerebellum to mild angry vs. neutral, relative to DCs
Jollant et al
201039
13 M with MDD,
MA age 38 yrs
12 DCs,
15 HCs
Iowa Gambling
Task, ROIs
lateral OFC and occipital cortex activation during risky
relative to safe choices, relative to DCs. Poorer gambling task
performance, relative to DCs
Marchand et
al 201240
6 M with MDD with
self-harm, 5 with
attempts, MA 28 yrs
(overall MDD sample )
16 DCs Motor activation
task
putamen activation and altered functional connectivity in a
network involving bilateral motor/sensory cortices and striatum,
left temporal and inferior parietal lobule regions and right
posterior cortical midline structures
Reisch et al
201041
8 F with attempts,
MA 39 yrs
None Activation during
recall of mental
pain and suicide
action during
recent suicide
attempts
Recall of mental pain was associated with activation in
DLPFC, rostral PFC and premotor regions. Recall of suicidal
action was associated with activation in the medial PFC, ACC
and HP
Older Adults
Dombrovski
et al 201350
15 with MDD,
MA 66 yrs
18 DCs,
20 HCs
Reward learning
using
reinforcement
learning model,
assessment of
expected rewards
pregenual cingulate response to high expected reward and
associated with impulsivity
Children and Adolescents
Pan et al
201156
15 with MDD,
MA 16 yrs
15 DCs,
14 HCs
Go-no-go
response
inhibition and
motor control task
ACC activation to go-no-go vs motor control, relative to DCs
Pan et al
201355
14 with MDD, (sample
noted to overlap with
2011 study),
MA 16 yrs
15 DCs,
15 HCs
Response to
intense or mild,
angry or happy
face stimuli,
compared to
responses to
neutral face
stimuli
ACC-DLPFC circuitry, primary sensory and temporal
cortices to mildly angry faces, relative to DCs. Higher primary
sensory cortex to mild angry, relative to HCs. in the fusiform
gyrus to neutral faces during angry face runs, relative to DCs.
in primary sensory cortex to intensely happy faces and in the
anterior cingulate and medial PFC to neutral faces in the happy
face runs. anterior cingulate-insula functional connectivity to
mild angry faces, relative to DCs or HCs
Pan et al
201357
15 with MDD,
MA 16 yrs
14 DCs,
13 HCs
Iowa Gambling
Task
activation in thalamus during high-risk decisions relative to
DCs and activation in caudate relative to HCs

11C-DASB, (11 C)3-amino-4-(2-dimethylaminomethyl-phenylsulfanyl) benzonitrile; 11C-ZIENT, ( 11C)2β-carbomethoxy-3β-[4′-((Z)-2-iodoethenyl)phenyl]nortropane; 123I-β-CIT, (123I)β-carboxymethyoxy-3-β-(4-iodophenyl) tropane; 123I-5-I-R91150, 4-amino-N-[l-[3-(4-fluorophenoxy); 5-HT, Serotonin; 5-HT2a, Serotonin 2a; 5-HTT, Serotonin transporter; 5-HTTLPR, Serotonin-transporter-linked polymorphic region; 99mTc, Technetium-99m; ACC, Anterior cingulate cortex; AD, Adjustment disorder; ADC, Apparent diffusion coefficient; ALIC, Anterior limb of internal capsule; Amyg, Amygdala; AXD, Anxiety disorder; BD, Bipolar disorder; BD-P, Bipolar disorder w/ psychosis; BPD, Borderline personality disorder; CC, Corpus callosum; DAT, Dopamine transporter; DC, Diagnostic controls, i.e., subjects with the same diagnosis(es) as the group with attempts; DE-NOS, Depressive episode not otherwise specified; DLPFC, Dorsolateral prefrontal cortex; F, Females; FA, Fractional anisotropy; FDG, Fluorodeoxyglucose; GM, Gray matter; GP, Globus pallidus; HC, Healthy control subjects; HMPAO, Hexamethylpropylene amine oxime; HP, Hippocampus; M, Males; MA, Mean age; MDD, Major depressive disorder; OFC, Orbitofrontal cortex; PD, Personality disorder; PET, Positron emission tomography; PVH, Periventricular hyperintensities; PFC, Prefrontal cortex; rCBF, Regional cerebral blood flow; rCMRglu, Regional cerebral glucose metabolic rates; ROIs, Regions of interest; SA, Substance abuse; SCZ, Schizophrenia; SLC6A4, serotonin transporter gene; SP, Social phobia; SPECT, Single photon emission tomography; STin2, Serotonin transporter intron 2; SZA, Schizoaffective disorder; TBI, Traumatic brain injury; VBM, voxel-based morphometry; WM, White matter; WMH, White matter hyperintensities

Structural Magnetic Resonance Imaging

Structural magnetic resonance imaging of gray and white matter morphology

Structural imaging has been the method most used in suicide research. Studies using sMRI converge in showing orbitofrontal cortex (OFC) GM decreases in attempters with MDD,1 BD,2 schizophrenia,3 and BPD,4 and amygdala GM increases in MDD1 and schizophrenia.5 The OFC and amygdala are highly interconnected regions, important in regulating emotions and impulses, suggesting that frontotemporal OFC-amygdala structural abnormalities may contribute to emotion and impulse dysregulation associated with attempts. In BPD, OFC decreases were of larger magnitude in attempters with higher medical lethality.4

GM findings have been reported in other frontal system components in attempters with schizophrenia,3,6 BPD,4 BD,2 and MDD.7-9 These include dorsal frontal regions, insula, thalamus, and basal ganglia, implicating more widely distributed frontotemporal anterior connection sites. A study of the cerebellum yielded negative findings.10

Studies using sMRI show abnormal frontotemporal WM connections. A study of schizophrenia showed increased inferior frontal WM volume in attempters with self-directed aggression.11 The sMRI studies also show altered interhemispheric connections. Smaller genual corpus callosum (CC) volume in BD attempters was associated with increased Barratt Impulsivity Scale scores.12 These studies suggest that WM abnormalities contribute to self-aggression and impulse dyscontrol of suicidal behavior.

White matter hyperintensities

Increased WMH prevalence has been reported in young/mid-adult MDD and BD attempters,13-15 and in older adults and children. Etiologies contributing to WMH may include cellular loss, ischemia, perivascular space dilatation, ependymal loss, and vascular-related demyelination.16-18

Diffusion tensor imaging

The main reported DTI measure is fractional anisotropy (FA), which reflects the directional coherence of diffusion within WM bundles, their architecture, or structural integrity. Decreased frontal FA in BD and MDD attempters has been found.19-21 In BD, orbitofrontal FA decreases were associated with impulsivity. In MDD attempters, disruptions were found in frontal cortex–basal ganglia WM connections that are important in behavioral control.20,22 In veterans with TBI and attempt history, FA increases in frontal WM projections were associated with impulsivity.23 These DTI data further support the contributions of anterior WM abnormalities to impulsive suicide behavior.

Functional Neuroimaging

Single photon emission computerized tomography and positron emission tomography

A SPECT study showed blunted prefrontal cortex (PFC) regional cerebral blood flow (rCBF) responses during word generation in attempters,24 consistent with the frontal findings described above. Lower frontal, insular, and caudate rCBF predicted attempts in a study with prospective assessment of suicide decedents.25

A regional cerebral metabolic rate of glucose (rCMRglu) PET study reported OFC hypometabolism in BPD attempters.26 Additionally, in rCMRglu PET studies, fenfluramine challenges have probed the serotonin (5-HT) system. Results indicated hypometabolism in right dorsolateral PFC in attempters and in association with ideation.27 Ventral PFC hypometabolism differentiated between high-lethality and low-lethality attempters.28 These studies suggest linkages between PFC response, 5-HT, suicide ideation, and attempt medical lethality, thus extending results of postmortem, cerebrospinal fluid, peripheral, and neuroendocrine challenge studies implicating 5-HT in suicide attempts and their lethality.

SPECT and PET neurotransmitter studies in attempters have focused on 5-HT and frontal systems. Findings include alterations in OFC 5-HT synthesis,29 5-HT transporter (5-HTT) binding,30-32 associations among 5-HTT binding and SLC6A4 genetic variations,33 and basal ganglia volume9 and lower frontal 5HT-2a receptor binding.34,35 Associations have been reported between impulsivity and 5-HTT binding in whole brain, OFC, and other frontotemporal system components.36,37 Additionally, an association between lower frontal 5HT-2a receptor binding and hopelessness has been reported.35 Genetic, postmortem, neuroendocrine, and peripheral studies also implicate noradrenergic and dopaminergic systems, and neurotrophic mechanisms, suggesting the need for their study.

Functional magnetic resonance imaging

The few reported fMRI studies of attempters are in MDD. One study of men showed elevated OFC responses to angry faces, suggesting that male MDD attempters have increased sensitivity to disapproval or threat.38 Male attempters also showed decreased left OFC activation associated with risky gambling task choices.39 When fMRI was performed during a motor task by attempters,40 altered activation and functional connectivity within and between regions in a corticostriatal network were shown. In one of the few studies examining internal states and thoughts of suicide, fMRI showed frontal decreases during autobiographic recall of mental pain associated with previous attempts, and frontotemporal increases during recall of suicide actions.41

Suicidal Ideation

Study of suicidal ideation is important for understanding the development of risk for attempts. Of the few structural studies of suicide ideation, non-attempters with ideation did not show the WM abnormalities noted in attempters, although one DTI study of ideation in veterans with TBI did show FA reductions in the cingulum, a structure important in emotional memory.13,42 The absence of frontal WM findings in non-attempters with ideation suggests that these findings are more closely associated with suicidal acts and possibly the more impulsive aspects of some attempts. It is possible that WM disruptions are a consequence of suicide attempt methods that could affect the brain, for example as a consequence of hypoxia, although some studies have noted similar findings in attempters who did not use such methods.13

Brain dysfunction has shown some consistencies among ideators and attempters. Performance of a motor activation task by BDII ideators showed frontostriatal findings similar to those in attempters.43 In another fMRI study of combat-exposed war veterans performing a stop task,44 ideation was associated with higher frontal error-related activation.

Older Adult Attempters

Biopsychosocial features of aging may confer neurobiological risk for suicide. WMH and other WM pathology may be more prevalent in older adult attempters.45,46 Early findings of increased WMH in older adults suggested pathologic processes (e.g., vascular disease) more prevalent in older adults.16-18 However, recent studies reporting similarly increased WMH in younger adults and adolescents suggest that alternative mechanisms may underlie WMH. Although underlying mechanisms may differ, findings in adults aged over 60 years show consistencies with findings in younger adults. For example, older adult MDD attempters also show decreased basal ganglia GM and relationships to reward processing and behavioral control.47,48 CC WM decreases have been reported in older adult attempters with mood and anxiety disorders, although in older attempters these were in the posterior third,49 implicating more involvement of emotion and memory processes. Older adult attempters also show decreases in ventromedial PFC responses to rewards, associated with impulsivity.50 In light of few comparison studies of older to younger adults, more research is needed on similarities and distinctions between the pathophysiology and neural circuitry underlying suicide behavior across lifespan stages.

Suicide Attempts and Ideation in Children and Adolescents

Neuroimaging research with adolescents is important, as adolescence is a critical period in suicide behavior development. Structural imaging studies of children and adolescents—with epilepsy,51 as psychiatric inpatients,52,53 or outpatients with BPD and MDD54—show some consistencies with studies in adults, suggesting these abnormalities may relate to development of suicide-related thoughts and behaviors. Findings include smaller OFC WM in young ideators,51 more prevalent WMHs in MDD young attempters,52,53 and smaller anterior cingulate GM and WM volumes in adolescents with more suicide attempts.54

An fMRI study in MDD adolescents showed increased responses to angry faces in frontal circuitry,55 similar to that found in adults.38 However, MDD adolescent attempters did not show differential neural responses during response inhibition on a go–no-go task or decision making in the context of risk.56,57 These findings suggest increased sensitivity in frontal systems involved in negative emotion processing may characterize adolescent attempters.

Recommendations for Future Research

Despite highly varied methods and small samples, the structural and functional neuroimaging findings converge in implicating frontal neural systems and serotonergic functioning as central in suicide behavior, consistent with studies using non-imaging approaches. As neuroimaging studies are expensive, scanning time limited, and at-risk patients difficult to retain in studies, future neuroimaging efforts could benefit from more strategic approaches.

Common Data Elements

As illustrated above and in Table 1, there is substantial variation in age, gender, psychopathology, imaging methods and regions studied, activation paradigms and behavioral constructs probed. Studies vary in defining “attempters.” Although neuropsychological constructs related to emotion and impulse regulation have been most studied, definitions of these constructs and methods to assess them have varied. Efforts to use common definitions of suicide behavior and neuropsychological processes, and methods to assess them, could lead to better synthesis across studies. Similarly, calibration of imaging hardware and analytic techniques will be needed. In efforts to link brain imaging to age, gender, genetic, postmortem, neurotransmitter, neurotrophic, hormonal, and environmental findings, and to elucidate commonalities and distinctions between suicide behavior in different psychiatric disorders, the use of common data elements could make cross-study comparisons more likely and of greater value. Future studies may benefit from including new analytic approaches, such as computer learning algorithms comparing imaging data on cases and controls, in larger samples.

However, this field is in its early stages and there is risk to premature focus. Although initial work has focused on frontal systems and related behavioral constructs such as impulsivity and 5-HT, and these have shown importance in attempters, the field is also in need of novel approaches to study other aspects of suicide. For example, few studies have focused on ideation. There is a critical need for investigators who develop ideation-related constructs and innovative methods to probe them.

Suicide Risk and Trajectories

Two major gaps in the study of individuals at risk for suicide over time were identified. First, longitudinal studies are critically needed of individuals at risk, especially beginning in youth, to study biopsychosocial factors and neural trajectories both associated with and not with future attempts. These could reveal predictors and trajectories associated with future attempts, as well as with resilience in individuals who do not make attempts. Second, neuroimaging studies before and after pharmacologic and behavioral interventions could be instrumental in promoting understanding of therapeutic mechanisms in treatment response.

Conclusions

It is an important time for research in the neural circuitry of suicide-related thoughts and behaviors. Important groundwork has been laid by initial neuroimaging studies. Despite the small size and heterogeneity of these studies, some convergent findings provide a promising start. The identification of associations among genetic and molecular mechanisms, brain circuitry, ideation, and behavior could be instrumental in identifying targets for prevention. Future neuroimaging efforts could be leveraged by more strategic use of common data elements and efforts to fill gaps in understanding of suicide risk trajectories. At-risk subgroups defined by risk experiences and psychopathology subtypes may provide a clearer picture of the neural changes associated with suicide risk status—both current and lifetime. Expanding research efforts that examine structural and functional changes related to intervention responses can inform risk and prevention models.

Acknowledgments

Funding was received by HPB from the NIH (grant Nos. R01MH69747, R01MH070902, RC1MH088366, RL1DA024856), American Foundation for Suicide Prevention, International Bipolar Foundation, National Alliance for Research in Schizophrenia and Depression and Women’s Health Research at Yale, and ETCL from the NIH (grant No. T32MH014276).

Footnotes

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References

  • 1.Monkul ES, Hatch JP, Nicoletti MA, et al. Fronto-limbic brain structures in suicidal and naon-suicidal female patients with major depressive disorder. Mol Psychiatry. 2007;12(4):360–6. doi: 10.1038/sj.mp.4001919. [DOI] [PubMed] [Google Scholar]
  • 2.Benedetti F, Radaelli D, Poletti S, et al. Opposite effects of suicidality and lithium on gray matter volumes in bipolar depression. J Affect Disord. 2011;135(1-3):139–47. doi: 10.1016/j.jad.2011.07.006. [DOI] [PubMed] [Google Scholar]
  • 3.Aguilar EJ, Garcia-Marti G, Marti-Bonmati L, et al. Left orbitofrontal and superior temporal gyrus structural changes associated to suicidal behavior in patients with schizophrenia. Prog Neuropsychopharmacol Biol Psychiatry. 2008;32(7):1673–6. doi: 10.1016/j.pnpbp.2008.06.016. [DOI] [PubMed] [Google Scholar]
  • 4.Soloff PH, Pruitt P, Sharma M, Radwan J, White R, Diwadkar VA. Structural brain abnormalities and suicidal behavior in borderline personality disorder. J Psychiatr Res. 2012;46(4):516–25. doi: 10.1016/j.jpsychires.2012.01.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Spoletini I, Piras F, Fagioli S, et al. Suicidal attempts and increased right amygdala volume in schizophrenia. Schizophr Res. 2011;125(1):30–40. doi: 10.1016/j.schres.2010.08.023. [DOI] [PubMed] [Google Scholar]
  • 6.Giakoumatos CI, Tandon N, Shah J, et al. Are structural brain abnormalities associated with suicidal behavior in patients with psychotic disorders? J Psychiatr Res. 2013;47(10):1389–95. doi: 10.1016/j.jpsychires.2013.06.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Wagner G, Koch K, Schachtzabel C, Schultz CC, Sauer H, Schlosser RG. Structural brain alterations in patients with major depressive disorder and high risk for suicide: evidence for a distinct neurobiological entity? Neuroimage. 2011;54(2):1607–14. doi: 10.1016/j.neuroimage.2010.08.082. [DOI] [PubMed] [Google Scholar]
  • 8.Wagner G, Schultz CC, Koch K, Schachtzabel C, Sauer H, Schlosser RG. Prefrontal cortical thickness in depressed patients with high-risk for suicidal behavior. J Psychiatr Res. 2012;46(11):1449–55. doi: 10.1016/j.jpsychires.2012.07.013. [DOI] [PubMed] [Google Scholar]
  • 9.Vang FJ, Ryding E, Traskman-Bendz L, van WD, Lindstrom MB. Size of basal ganglia in suicide attempters, and its association with temperament and serotonin transporter density. Psychiatry Res. 2010;183(2):177–9. doi: 10.1016/j.pscychresns.2010.05.007. [DOI] [PubMed] [Google Scholar]
  • 10.Baldacara L, Nery-Fernandes F, Rocha M, et al. Is cerebellar volume related to bipolar disorder? J Affect Disord. 2011;135(1-3):305–9. doi: 10.1016/j.jad.2011.06.059. [DOI] [PubMed] [Google Scholar]
  • 11.Rusch N, Spoletini I, Wilke M, et al. Inferior frontal white matter volume and suicidality in schizophrenia. Psychiatry Res. 2008;164(3):206–14. doi: 10.1016/j.pscychresns.2007.12.011. [DOI] [PubMed] [Google Scholar]
  • 12.Matsuo K, Nielsen N, Nicoletti MA, et al. Anterior genu corpus callosum and impulsivity in suicidal patients with bipolar disorder. Neurosci Lett. 2010;469(1):75–80. doi: 10.1016/j.neulet.2009.11.047. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Pompili M, Innamorati M, Mann JJ, et al. Periventricular white matter hyperintensities as predictors of suicide attempts in bipolar disorders and unipolar depression. Prog Neuropsychopharmacol Biol Psychiatry. 2008;32(6):1501–7. doi: 10.1016/j.pnpbp.2008.05.009. [DOI] [PubMed] [Google Scholar]
  • 14.Ehrlich S, Breeze JL, Hesdorffer DC, et al. White matter hyperintensities and their association with suicidality in depressed young adults. J Affect Disord. 2005;86(2-3):281–7. doi: 10.1016/j.jad.2005.01.007. [DOI] [PubMed] [Google Scholar]
  • 15.Serafini G, Pompili M, Innamorati M, et al. Affective temperamental profiles are associated with white matter hyperintensity and suicidal risk in patients with mood disorders. J Affect Disord. 2011;129(1-3):47–55. doi: 10.1016/j.jad.2010.07.020. [DOI] [PubMed] [Google Scholar]
  • 16.Thomas AJ, O’Brien JT, Davis S, et al. Ischemic basis for deep white matter hyperintensities in major depression: a neuropathological study. Arch Gen Psychiatry. 2002;59(9):785–92. doi: 10.1001/archpsyc.59.9.785. [DOI] [PubMed] [Google Scholar]
  • 17.Gunning-Dixon FM, Walton M, Cheng J, et al. MRI signal hyperintensities and treatment remission of geriatric depression. J Affect Disord. 2010;126(3):395–401. doi: 10.1016/j.jad.2010.04.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Fazekas F, Kleinert R, Offenbacher H, et al. Pathologic correlates of incidental MRI white matter signal hyperintensities. Neurology. 1993;43(9):1683–9. doi: 10.1212/wnl.43.9.1683. [DOI] [PubMed] [Google Scholar]
  • 19.Mahon K, Burdick KE, Wu J, Ardekani BA, Szeszko PR. Relationship between suicidality and impulsivity in bipolar I disorder: a diffusion tensor imaging study. Bipolar Disord. 2012;14(1):80–9. doi: 10.1111/j.1399-5618.2012.00984.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Jia Z, Huang X, Wu Q, et al. High-field magnetic resonance imaging of suicidality in patients with major depressive disorder. Am J Psychiatry. 2010;167(11):1381–90. doi: 10.1176/appi.ajp.2010.09101513. [DOI] [PubMed] [Google Scholar]
  • 21.Olvet DM, Peruzzo D, Thapa-Chhetry B, et al. A diffusion tensor imaging study of suicide attempters. J Psychiatr Res. 2014;51:60–7. doi: 10.1016/j.jpsychires.2014.01.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Jia Z, Wang Y, Huang X, et al. Impaired frontothalamic circuitry in suicidal patients with depression revealed by diffusion tensor imaging at 3.0 T. J Psychiatry Neurosci. 2013;38(5):130023. doi: 10.1503/jpn.130023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Lopez-Larson M, King JB, McGlade E, et al. Enlarged thalamic volumes and increased fractional anisotropy in the thalamic radiations in veterans with suicide behaviors. Front Psychiatry. 2013;4:83. doi: 10.3389/fpsyt.2013.00083. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Audenaert K, Goethals I, Van LK, et al. SPECT neuropsychological activation procedure with the verbal fluency test in attempted suicide patients. Nucl Med Commun. 2002;23(9):907–16. doi: 10.1097/00006231-200209000-00015. [DOI] [PubMed] [Google Scholar]
  • 25.Willeumier K, Taylor DV, Amen DG. Decreased cerebral blood flow in the limbic and prefrontal cortex using SPECT imaging in a cohort of completed suicides. Transl Psychiatry. 2011;1:e28. doi: 10.1038/tp.2011.28. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Soloff PH, Meltzer CC, Becker C, Greer PJ, Kelly TM, Constantine D. Impulsivity and prefrontal hypometabolism in borderline personality disorder. Psychiatry Res. 2003;123(3):153–63. doi: 10.1016/s0925-4927(03)00064-7. [DOI] [PubMed] [Google Scholar]
  • 27.Sublette ME, Milak MS, Galfalvy HC, Oquendo MA, Malone KM, Mann JJ. Regional brain glucose uptake distinguishes suicide attempters from non-attempters in major depression. Arch Suicide Res. 2013;17(4):434–47. doi: 10.1080/13811118.2013.801813. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Oquendo MA, Placidi GP, Malone KM, et al. Positron emission tomography of regional brain metabolic responses to a serotonergic challenge and lethality of suicide attempts in major depression. Arch Gen Psychiatry. 2003;60(1):14–22. doi: 10.1001/archpsyc.60.1.14. [DOI] [PubMed] [Google Scholar]
  • 29.Leyton M, Paquette V, Gravel P, et al. Alpha-[11C]methyl-L-tryptophan trapping in the orbital and ventral medial prefrontal cortex of suicide attempters. Eur Neuropsychopharmacol. 2006;16(3):220–3. doi: 10.1016/j.euroneuro.2005.09.006. [DOI] [PubMed] [Google Scholar]
  • 30.Cannon DM, Ichise M, Fromm SJ, et al. Serotonin transporter binding in bipolar disorder assessed using [11C]DASB and positron emission tomography. Biol Psychiatry. 2006;60(3):207–17. doi: 10.1016/j.biopsych.2006.05.005. [DOI] [PubMed] [Google Scholar]
  • 31.Miller JM, Hesselgrave N, Ogden RT, et al. Positron emission tomography quantification of serotonin transporter in suicide attempters with major depressive disorder. Biol Psychiatry. 2013;74(4):287–95. doi: 10.1016/j.biopsych.2013.01.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Nye JA, Purselle D, Plisson C, et al. Decreased brainstem and putamen sert binding potential in depressed suicide attempters using [11C]-zient PET imaging. Depress Anxiety. 2013;30(10):902–7. doi: 10.1002/da.22049. [DOI] [PubMed] [Google Scholar]
  • 33.Bah J, Lindstrom M, Westberg L, et al. Serotonin transporter gene polymorphisms: effect on serotonin transporter availability in the brain of suicide attempters. Psychiatry Res. 2008;162(3):221–9. doi: 10.1016/j.pscychresns.2007.07.004. [DOI] [PubMed] [Google Scholar]
  • 34.Audenaert K, Van LK, Dumont F, et al. Decreased frontal serotonin 5-HT 2a receptor binding index in deliberate self-harm patients. Eur J Nucl Med. 2001;28(2):175–82. doi: 10.1007/s002590000392. [DOI] [PubMed] [Google Scholar]
  • 35.van Heeringen C, Audenaert K, Van LK, et al. Prefrontal 5-HT2a receptor binding index, hopelessness and personality characteristics in attempted suicide. J Affect Disord. 2003;74(2):149–58. doi: 10.1016/s0165-0327(01)00482-7. [DOI] [PubMed] [Google Scholar]
  • 36.Lindstrom MB, Ryding E, Bosson P, Ahnlide JA, Rosen I, Traskman-Bendz L. Impulsivity related to brain serotonin transporter binding capacity in suicide attempters. Eur Neuropsychopharmacol. 2004;14(4):295–300. doi: 10.1016/j.euroneuro.2003.11.001. [DOI] [PubMed] [Google Scholar]
  • 37.Ryding E, Ahnlide JA, Lindstrom M, Rosen I, Traskman-Bendz L. Regional brain serotonin and dopamine transporter binding capacity in suicide attempters relate to impulsiveness and mental energy. Psychiatry Res. 2006;148(2-3):195–203. doi: 10.1016/j.pscychresns.2006.06.001. [DOI] [PubMed] [Google Scholar]
  • 38.Jollant F, Lawrence NS, Giampietro V, et al. Orbitofrontal cortex response to angry faces in men with histories of suicide attempts. Am J Psychiatry. 2008;165(6):740–8. doi: 10.1176/appi.ajp.2008.07081239. [DOI] [PubMed] [Google Scholar]
  • 39.Jollant F, Lawrence NS, Olie E, et al. Decreased activation of lateral orbitofrontal cortex during risky choices under uncertainty is associated with disadvantageous decision-making and suicidal behavior. Neuroimage. 2010;51(3):1275–81. doi: 10.1016/j.neuroimage.2010.03.027. [DOI] [PubMed] [Google Scholar]
  • 40.Marchand WR, Lee JN, Johnson S, et al. Striatal and cortical midline circuits in major depression: implications for suicide and symptom expression. Prog Neuropsychopharmacol Biol Psychiatry. 2012;36(2):290–9. doi: 10.1016/j.pnpbp.2011.10.016. [DOI] [PubMed] [Google Scholar]
  • 41.Reisch T, Seifritz E, Esposito F, Wiest R, Valach L, Michel K. An fMRI study on mental pain and suicidal behavior. J Affect Disord. 2010;126(1-2):321–5. doi: 10.1016/j.jad.2010.03.005. [DOI] [PubMed] [Google Scholar]
  • 42.Yurgelun-Todd DA, Bueler CE, McGlade EC, Churchwell JC, Brenner LA, Lopez-Larson MP. Neuroimaging correlates of traumatic brain injury and suicidal behavior. J Head Trauma Rehabil. 2011;26(4):276–89. doi: 10.1097/HTR.0b013e31822251dc. [DOI] [PubMed] [Google Scholar]
  • 43.Marchand WR, Lee JN, Garn C, et al. Striatal and cortical midline activation and connectivity associated with suicidal ideation and depression in bipolar II disorder. J Affect Disord. 2011;133(3):638–45. doi: 10.1016/j.jad.2011.04.039. [DOI] [PubMed] [Google Scholar]
  • 44.Matthews S, Spadoni A, Knox K, Strigo I, Simmons A. Combat-exposed war veterans at risk for suicide show hyperactivation of prefrontal cortex and anterior cingulate during error processing. Psychosom Med. 2012;74(5):471–5. doi: 10.1097/PSY.0b013e31824f888f. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Ahearn EP, Jamison KR, Steffens DC, et al. MRI correlates of suicide attempt history in unipolar depression. Biol Psychiatry. 2001;50(4):266–70. doi: 10.1016/s0006-3223(01)01098-8. [DOI] [PubMed] [Google Scholar]
  • 46.Sachs-Ericsson N, Hames JL, Joiner TE, et al. Differences between suicide attempters and nonattempters in depressed older patients: depression severity, white-matter lesions, and cognitive functioning. Am J Geriatr Psychiatry. 2014;22(1):75–85. doi: 10.1016/j.jagp.2013.01.063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Dombrovski AY, Siegle GJ, Szanto K, Clark L, Reynolds CF, Aizenstein H. The temptation of suicide: striatal gray matter, discounting of delayed rewards, and suicide attempts in late-life depression. Psychol Med. 2012;42(6):1203–15. doi: 10.1017/S0033291711002133. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Hwang JP, Lee TW, Tsai SJ, et al. Cortical and subcortical abnormalities in late-onset depression with history of suicide attempts investigated with MRI and voxel-based morphometry. J Geriatr Psychiatry Neurol. 2010;23(3):171–84. doi: 10.1177/0891988710363713. [DOI] [PubMed] [Google Scholar]
  • 49.Cyprien F, Courtet P, Malafosse A, et al. Suicidal behavior is associated with reduced corpus callosum area. Biol Psychiatry. 2011;70(4):320–6. doi: 10.1016/j.biopsych.2011.02.035. [DOI] [PubMed] [Google Scholar]
  • 50.Dombrovski AY, Szanto K, Clark L, Reynolds CF, Siegle GJ. Reward signals, attempted suicide, and impulsivity in late-life depression. JAMA Psychiatry. 2013;70(10):1020–30. doi: 10.1001/jamapsychiatry.2013.75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Caplan R, Siddarth P, Levitt J, Gurbani S, Shields WD, Sankar R. Suicidality and brain volumes in pediatric epilepsy. Epilepsy Behav. 2010;18(3):286–90. doi: 10.1016/j.yebeh.2010.04.018. [DOI] [PubMed] [Google Scholar]
  • 52.Ehrlich S, Noam GG, Lyoo IK, Kwon BJ, Clark MA, Renshaw PF. Subanalysis of the location of white matter hyperintensities and their association with suicidality in children and youth. Ann NY Acad Sci. 2003;1008(1):265–8. doi: 10.1196/annals.1301.029. [DOI] [PubMed] [Google Scholar]
  • 53.Ehrlich S, Noam GG, Lyoo IK, Kwon BJ, Clark MA, Renshaw PF. White matter hyperintensities and their associations with suicidality in psychiatrically hospitalized children and adolescents. J Am Acad Child Adolesc Psychiatry. 2004;43(6):770–6. doi: 10.1097/01.chi.0000120020.48166.93. [DOI] [PubMed] [Google Scholar]
  • 54.Goodman M, Hazlett EA, Avedon JB, Siever DR, Chu KW, New AS. Anterior cingulate volume reduction in adolescents with borderline personality disorder and co-morbid major depression. J Psychiatr Res. 2011;45(6):803–7. doi: 10.1016/j.jpsychires.2010.11.011. [DOI] [PubMed] [Google Scholar]
  • 55.Pan LA, Hassel S, Segreti AM, Nau SA, Brent DA, Phillips ML. Differential patterns of activity and functional connectivity in emotion processing neural circuitry to angry and happy faces in adolescents with and without suicide attempt. Psychol Med. 2013;43(10):2129–42. doi: 10.1017/S0033291712002966. [DOI] [PubMed] [Google Scholar]
  • 56.Pan LA, Batezati-Alves SC, Almeida JR, et al. Dissociable patterns of neural activity during response inhibition in depressed adolescents with and without suicidal behavior. J Am Acad Child Adolesc Psychiatry. 2011;50(6):602–11. doi: 10.1016/j.jaac.2011.03.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Pan L, Segreti A, Almeida J, et al. Preserved hippocampal function during learning in the context of risk in adolescent suicide attempt. Psychiatry Res. 2013;211(2):112–8. doi: 10.1016/j.pscychresns.2012.07.008. [DOI] [PMC free article] [PubMed] [Google Scholar]

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