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Narcissism is characterized by the search for affirmation and admiration from others. Might this motivation to find external sources of acclaim exist to compensate for neuro-structural deficits that link the self with reward? Greater structural connectivity between brain areas that process self-relevant stimuli (i.e., the medial prefrontal cortex) and reward (i.e., the ventral striatum) is associated with fundamentally positive self-views. We predicted that narcissism would be associated with less integrity of this frontostriatal pathway. We used diffusion tensor imaging to assess the frontostriatal structural connectivity among 50 healthy undergraduates (32 females, 18 males) who also completed a measure of grandiose narcissism. White matter integrity in the frontostriatal pathway was negatively associated with narcissism. Our findings, while purely correlational, suggest that narcissism arises, in part, from a neural disconnect between the self and reward. The exhibitionism and immodesty of narcissists may then be a regulatory strategy to compensate for this neural deficit. © The Author (2015). Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.
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Narcissism is associated with weakened frontostriatal
connectivity: a DTI study
David S. Chester,
1
Donald R. Lynam,
2
David K. Powell,
3,4
and
C. Nathan DeWall
1
1
Department of Psychology, University of Kentucky, Lexington, KY, USA,
2
Department of Psychological
Sciences, Purdue University, West Lafayette, IN, USA,
3
Magnetic Resonance Imaging and Spectroscopy Center,
and
4
Department of Anatomy and Neurobiology, University of Kentucky, Lexington, KY, USA
Correspondence should be addressed toDavid S. Chester, Department of Psychology, University of Kentucky, 0003 Kastle Hall, Lexington, KY 40506-0044,
USA. E-mail: davidchester@uky.edu
Abstract
Narcissism is characterized by the search for affirmation and admiration from others. Might this motivation to find
external sources of acclaim exist to compensate for neurostructural deficits that link the self with reward? Greater
structural connectivity between brain areas that process self-relevant stimuli (i.e. the medial prefrontal cortex) and reward
(i.e. the ventral striatum) is associated with fundamentally positive self-views. We predicted that narcissism would be
associated with less integrity of this frontostriatal pathway. We used diffusion tensor imaging to assess the frontostriatal
structural connectivity among 50 healthy undergraduates (32 females, 18 males) who also completed a measure of
grandiose narcissism. White matter integrity in the frontostriatal pathway was negatively associated with narcissism. Our
findings, while purely correlational, suggest that narcissism arises, in part, from a neural disconnect between the self and
reward. The exhibitionism and immodesty of narcissists may then be a regulatory strategy to compensate for this neural
deficit.
Key words: narcissism; frontostriatal connectivity; diffusion tensor imaging; white matter; self-esteem
Introduction
Daily social interactions are festooned with the presence of ego-
tistical and vain individuals. Yet what motivates the brazen
swagger of these narcissists? In what follows, we argue that a
structural deficit in the brain predicts narcissists’ blunted sense
of reward in relation to the self. This lack of self-reward con-
nectivity may then motivate their conceited attitudes and be-
havior to compensate for this deficiency.
Narcissism exists in two forms: grandiose and vulnerable
(Morf and Rhodewalt, 2001; Miller et al., 2011). Grandiose narcis-
sism is characterized by greater extraversion and lower agree-
ableness (Miller et al., 2011) and greater self-esteem (Miller et al.,
2012). According to self-regulatory models of narcissism, gran-
diose narcissists use their interpersonal environment to obtain
affirmation of their selves that they do not intrinsically generate
(Campbell et al., 2006; Morf and Rhodewalt, 2001). To date, no
study has examined whether neurostructural correlates of nar-
cissism may help explain the source of this motivation. The cur-
rent study fills this gap in the literature.
The underlying physiology of grandiose narcissists offers a
clue regarding their drive for external admiration and
affirmation. Although grandiose narcissism is unassociated
with self-reports of rejection’s sting, it is associated with
increased reactivity in regions of the brain that subserve the
pain of rejection (Cascio et al., forthcoming), which goes on to
predict whether they retaliate (Chester and DeWall,
forthcoming). Narcissism is also associated with a greater stress
responses in peripheral physiology during potential self-esteem
threats (Edelstein et al., 2010). These findings suggest that gran-
diose narcissism is rooted in a physiological substrate that does
not promote a stable, stoic and positive self. What remains un-
known is whether grandiose narcissism and its associated
Received: 23 March 2015; Revised: 21 May 2015; Accepted: 2 June 2015
V
CThe Author (2015). Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com
1
Social Cognitive and Affective Neuroscience, 2015, 1–5
doi: 10.1093/scan/nsv069
Original article
Social Cognitive and Affective Neuroscience Advance Access published June 26, 2015
by guest on June 27, 2015http://scan.oxfordjournals.org/Downloaded from
motivation to seek extrinsic sources of affirmation arises in the
structure of the nervous system.
The neural basis of positive self-regard has been a budding
area of inquiry among neuroscientists. A key midline region,
the medial prefrontal cortex (MPFC) shows robust sensitivity to
the self-relevance of stimuli, particularly its rostral and ventral
aspects (Denny et al., 2012). For example, MPFC activity corres-
ponded to individuals’ judgments of whether personality traits
related to themselves vs a close other (Heatherton et al., 2006).
Further, the more ventral portions of the MPFC play a special
role in self-valuation (D’Argembeau et al., 2012). If the MPFC is
the neuroanatomical seat of self-relevant processing and the
value of the self, then the extent to which this region acts in
concert with other brain regions that subserve positive affect
should predict self-esteem. The ventral striatum plays a critical
role in the subjective experience of positive affect and hedonic
reward (Berridge and Kringelbach, 2013). Chavez and
Heatherton (forthcoming) demonstrated that dispositional
self-esteem is associated with greater functional and structural
connectivity between the ventral striatum and the MPFC (i.e.
frontostriatal connectivity). These findings suggest that a neural
link between self-relevant processing and pleasure subserves
fundamentally positive self-views.
The pursuit of external self-affirmations among grandiose
narcissists may reflect a compensatory strategy to counteract a
deficit in this neural link. Much as sensation-seeking individ-
uals turn to exciting behaviors (e.g. substance abuse) as a motiv-
ation to compensate for a tonic, biological state of reduced
reward activity (Dawe et al., 2004), narcissists may self-
aggrandize as a means to increase the chronically deficient
reward that is experienced in relation to the self. We sought to
test this possibility by assessing whether grandiose narcissism
was associated with a neural disconnect between the self and
reward. Specifically, we predicted that narcissism would be
negatively associated with structural frontostriatal connectivity.
Methods
Participants
Fifty healthy, right-handed undergraduate students (64% fe-
male; age: M¼18.78, s.d. ¼1.04) were recruited to participate
from the University of Kentucky Introductory Psychology
Subject Pool. Participants were compensated with partial course
credit and $45. Participants were excluded from the study if
they reported any history of psychological or neurological path-
ology, claustrophobia, seizures, major medical issues, issues
with substance abuse, current use of psychoactive medication,
learning disorders, color blindness or a body-mass index indi-
cating obesity (i.e. >30). For safety reasons, participants were
also excluded if they reported any metallic objects or devices in-
side their body. All participants provided informed consent and
all procedures were approved by the University of Kentucky
Office of Research Integrity.
These data were collected as part of a larger study on the
role of negative emotion in impulsivity. Because of this larger
aim, participants were recruited to be relatively high or low in
impulsivity and neuroticism, as determined by their scores
being above the scale’s midpoint for both of these constructs.
All reported effects in this manuscript remain significant after
controlling for participants’ group assignment. We did not as-
sess correlations with impulsivity or neuroticism with frontos-
triatal connectivity as our hypotheses did not pertain to these
constructs.
Materials
Narcissistic personality index (NPI-16)
To measure dispositional individual differences in grandiose
narcissism, participants completed the 16-item Narcissistic
Personality Inventory (NPI-16; Ames et al., 2006; Miller et al.,
2012). In this measure, participants repeatedly decide between a
dichotomous narcissistic (e.g. I think I am a special person) or
non-narcissistic (e.g. I am no better or worse than most people)
response. These items focus more on the grandiose elements of
narcissism (e.g. self-enhancement) and less on the vulnerable
aspects (e.g. hostility; Miller et al., 2012). Scores across all 16
items were scored such that narcissistic responses were coded
as 1 and non-narcissistic responses were coded as 0. Responses
were then averaged across all 16 items to yield a trait narcissism
score that could range from 0 to 1.
Procedure
Participants first completed an intake session in which they
were screened for safety and comfort in the magnetic resonance
imaging (MRI) environment and then they completed a battery
of questionnaires that assessed demographic information and
trait narcissism. Several days later, participants arrived at the
University of Kentucky’s Magnetic Resonance Imaging and
Spectroscopy Center where they were again screened for MRI
safety and comfort. Participants then entered the MRI scanner
and underwent diffusion tensor imaging for approximately
10 min.
Magnetic resonance imaging
Data acquisition. All MRI data were acquired on a 3.0-Tesla
Siemens MAGNETOM Trio scanner using a 32-channel head
coil. Diffusion tensor imaging (DTI) was acquired across the en-
tire brain using an axial double-refocused spin-echo echo pla-
nar imaging sequence (TR ¼8000 ms, TE ¼96 ms, FOV ¼224 mm,
52 slices, 2 mm isotropic resolution). DT images were acquired
with 64 noncollinear encoding direction (b¼1000 s/mm
2
) and
six images without diffusion weighting (b¼0 s/mm
2
, b0). Then,
a high-resolution T1-weighted MP-RAGE sequence was acquired
from each participant to allow for native space registration of
the DTI data (parameters: 1mm
3
isotropic voxel size, TR ¼1.69 s,
TE ¼2.56 ms, flip angle ¼12).
Preprocessing and FA extraction. DTI data were analyzed using
FMRIB’s Software Library (FSL v5.0; Smith et al., 2004; Jenkinson
et al., 2012). Raw DT images were preprocessed to correct for
head motion and residual eddy current distortion using a
12-parameter affine alignment to the corresponding b0 image
via FMRIB’s Linear Image Registration Tool (FLIRT). Next,
FMRIB’s Diffusion Toolbox (FDT v2.0) was used to fit the diffu-
sion tensor and calculate fractional anisotropy (FA) eigenvalues.
FA images were then registered into MNI152 space using FSL’s
tract-based spatial statistics (TBSS v1.2) program. All partici-
pants’ FA images were aligned to a common target using a non-
linear registration approach and then affine registered and
resampled to 2 mm
3
MNI152 space. Frontostriatal tract masks
for the left and right hemisphere were acquired from Chavez
and Heatherton (forthcoming; Figure 1A). Mean FA values were
extracted for each hemisphere of the frontostriatal tract for
each participant. The FA values from each hemisphere of the
frontostriatal tract were then averaged together to create a sin-
gle frontostriatal FA value for each participant.
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Quality check. Reconstructed FA volumes were visually inspected
prior to eddy current correction for excessive distortions and
signs of excessive motion during the scan (e.g. striations, dis-
placement), and then again after the eddy current correction’s
affine registration phase for misalignments between the ori-
ginal and target volumes. After normalization to MNI152 stand-
ard-space, FA volumes were displayed in a vertical slice
directory for visual inspection against one another to detect
misalignments or other deviations. None of the participants’
DTI volumes were excluded as no serious abnormalities were
detected.
Results
We predicted that narcissism would relate to lower FA values in
the frontostriatal pathway. Because narcissism tends to be
higher for males than for females (Twenge et al., 2008), we con-
trolled for participant sex in our analysis. Frontostriatal FA did
not differ by participant sex, b¼0.19, t(47) ¼1.42, P¼0.164.
As predicted, narcissism related to lower structural integrity
between the MPFC and ventral striatum. Frontostriatal FA was
negatively associated with grandiose narcissism, b¼0.34,
t(47) ¼2.46, P¼0.017 [95% bias-corrected and accelerated confi-
dence interval: b¼0.63 to 0.06 (Figure 1B)]. This association
was observed in both the left, b¼0.30, t(47) ¼2.13, P¼0.039,
and right, b¼0.32, t(47) ¼2.40, P¼0.020, hemispheres of the
frontostriatal tract. Thus, narcissistic motivation to secure exter-
nal admiration and affirmation may arise from a deficit in neural
pathways thatconnect self-relevant processing with reward.
Discussion
Grandiose narcissists display bloated self-esteem that they seek
to bolster from external sources of self-affirmation (Morf and
Rhodewalt, 2001). Yet whether this motivation is associated
with a neural deficit in intrinsically positive self-views is un-
known. Using DTI, we found that grandiose narcissism pre-
dicted reduced white matter integrity between brain regions
that, in concert, subserve self-esteem (Chavez and Heatherton,
forthcoming). This observed tendency of individuals higher in
narcissism to have less frontostriatal connectivity mirrors other
work showing that the biology of narcissists reveals a far differ-
ent view than merely self-reports would allow for (Cascio et al.,
2015).
Our results fit well with regulatory models of narcissism
(Morf and Rhodewalt, 2001; Campbell et al., 2006). The results
paint a picture of narcissists as seeking positive self-related ex-
periences in a similar fashion to sensation-seekers who crave
excitement as a compensation for their internally dull mental
states (Dawe et al., 2004). These findings also support the notion
of the frontostriatal pathway as a crucial neural correlate of
truly positive self-views (Chavez and Heatherton, forthcoming).
Future research should examine this tract’s role in other phe-
nomena characterized by vulnerable self-esteem (e.g. depres-
sion, disorder eating).
According to our compensatory model of narcissism, in
which narcissists seek external self-affirmation to compensate
for their internal deficit in self-reward connectivity, narcissists
have a larger disparity between their baseline and desired levels
of self-reward connectivity than non-narcissists. However, an
alternative explanation could be that narcissists possess a simi-
lar baseline of self-reward connectivity to others, but the
amount or magnitude of stimuli necessary to reach their
desired levels of self-esteem may be larger. Much like the
need of substance-dependent individuals to require greater
and greater doses to achieve their desired high, narcissists
may require substantially more external affirmation than their
less-vain counterparts because each instance is associated
Fig. 1. (A) Sagittal and axial views of the frontostriatal masks, displayed in red, overlaid atop an MNI152 normalized template brain. Coordinates are in MNI space. (B–D)
Scatterplots depicting negative associations between average frontostriatal fractional anisotropy and scores on the narcissistic personality inventory for (B) bilateral,
(C) left and (D) right hemispheres of the pathway. Curved lines represent 95% confidence intervals around the regression line.
D. S. Chester et al. |3
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with less reward. Indeed, if narcissists do not possess an intrin-
sically robust frontostriatal connection, external affirmations
are unlikely to hold a strong hedonic magnitude. Our findings
are unable to determine which of these accounts is more
probable, or if they both have some basis in fact. Future re-
search might benefit from experimentally pitting these models
against one another, perhaps through functional MRI tasks
that test neural BOLD response changes during external self-
affirmations.
A lingering question remains from our findings: if narcis-
sism is associated with high self-esteem (Miller et al., 2012), and
high self-esteem is associated with greater frontostriatal con-
nectivity (Chavez and Heatherton, forthcoming), how could nar-
cissism be associated with lesser frontostriatal connectivity? To
question our findings on these grounds is to fall victim to a syl-
logistic logical fallacy in which the observed, positive associ-
ations between several constructs (narcissism and self-esteem,
self-esteem and frontostriatal connectivity) fictitiously implies
a third, positive association (narcissism and frontostriatal con-
nectivity). At a theoretical level, there are two reasons for the
observed disparity between our findings and what might ‘logic-
ally’ be expected. First, narcissists’ higher reports of self-esteem
might suggest that they are successful in obtaining the external
sources of self-affirmation that they require. It is even possible
that external self-reports of high self-esteem may serve this af-
firming purpose. Second, a contentious body of literature has
suggested that there is a disconnect between narcissists’ expli-
cit and implicit sense of self-esteem (Zeigler-Hill, 2006).
Therefore, our connectivity findings may reflect the impaired
and threatened implicit self-esteem of narcissists, that does not
appear in explicit self-reports. Such discrepant self-esteem may
arise early in human life from the internalization of high expli-
cit self-esteem from overly affirming parents (Brummelman
et al., 2015), while leaving the frontostriatal connection
unchanged.
As a potential limitation, our narcissism measure, the NPI-
16, tends to capture the more grandiose facets of narcissism
and its unitary nature fails to assess the multidimensionality of
dispositional narcissism (e.g. authority, exhibitionism;
Ackerman et al., 2011). Thus, it is uncertain what the associ-
ations between frontostriatal integrity would be with vulnerable
and other subtypes of narcissism. We also assessed subclinical
levels of narcissism, it is then unclear if our findings could ex-
tend to individuals with narcissistic personality disorder. Given
the many divergences between clinical and subclinical narcis-
sism (Miler and Campbell, 2008), we would not necessarily pre-
dict that individuals with narcissistic personality disorder
would show a weakened frontostriatal pathway. Further, it
must be stressed that these findings are purely correlational
and obtained from a sample population of 50 undergraduate
students. This relatively small sample size makes our results an
optimum target for future replication efforts.
Our findings do not suggest that narcissists are a ‘lost cause’
because of any perceived immutability of brain structure.
Indeed, clinical interventions can readily alter white matter in-
tegrity (Voss et al., 2013). Therefore, our findings may help in-
form interventions targeting reductions in narcissistic
tendencies by suggesting that they should foster intrinsic (and
perhaps biological) connections between the self and reward,
perhaps through repeated administrations of intrinsic self-
affirmations (Schimel et al., 2004). Such approaches underscore
the value of structural and neural investigations of maladaptive
dispositions and will hopefully lead to their reduced prevalence
in daily life.
Funding
This experiment was funded by a grant from the University
of Kentucky’s Center for Drug Abuse Research Translation
(CDART; Sponsor: National Institute on Drug Abuse, Grant
number: DA005312) to C. N. DeWall and D. R. Lynam.
Conflict of interest. None declared.
Acknowledgements
The authors are grateful to Robert Chavez for providing his
generous assistance in acquiring the frontostriatal masks
and other analytic advice regarding this project. We thank
Richard Milich and Donald Lynam for their assistance in
running and guiding this project.
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... Nenadic et al. (2015) reported, in a clinical sample, a decreased fractional anisotropy (FA, an index of WM integrity) in the right frontal and temporal lobe, right anterior thalamic radiation and the right brain stem. Chester et al. (2016) also observed an association between narcissism and reduced WM integrity in frontostriatal pathways. Although DTI is the most commonly used technique to assess WM fibre integrity (Assaf & Pasternak, 2008;De Erausquin & Alba-Ferrara, 2013;Radwan et al., 2022), this technique is sensitive to noise, and because of this, region-of-interest-driven protocols are often poorly reproducible (Assaf & Pasternak, 2008;Baggio et al., 2023). ...
... These methods do not consider the joint contribution of multiple voxels and thereby fail to comprehensively analyse the effect of interest from a network perspective. Additionally, the exploration of structural and functional correlates of narcissistic traits remains limited, as most existing studies have focused on one neuroimaging modality, analysing either GM or WM in isolation (Chester et al., 2016;Jornkokgoud et al., 2023;Nenadi c et al., 2021). Indeed, this leaves a gap in understanding the combined influence of GM and WM on narcissistic traits. ...
... Concerning the first objective, we want to investigate both GM and WM network features of NPT, and we hypothesize them to be ascribable to widely recognized macro-networks, such as the default mode network (DMN), which comprises, among other regions, the medial prefrontal cortex, the posterior cingulate cortex (PCC) and temporo-parietal regions (Langerbeck et al., 2023), areas that have been previously shown to be linked to narcissism. Furthermore, we expect to identify WM abnormalities in fronto-temporal regions, along with thalamic and cerebellar areas, consistent with prior research on personality (Assaf & Pasternak, 2008;Chester et al., 2016), and known to support the DMN functionality (Teipel et al., 2010). In fact, these regions may subserve diverse functions related to personality, from distorted representations of self and others subserved by fronto-temporal areas (Hu et al., 2016), unusual emotional experiences subserved by the cingulate, the cerebellum and insular regions (Medford & Critchley, 2010;Phillips et al., 2015). ...
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Despite the clinical significance of narcissistic personality, its neural bases have not been clarified yet, primarily because of methodological limitations of the previous studies, such as the low sample size, the use of univariate techniques and the focus on only one brain modality. In this study, we employed for the first time a combination of unsupervised and supervised machine learning methods, to identify the joint contributions of grey matter (GM) and white matter (WM) to narcissistic personality traits (NPT). After preprocessing, the brain scans of 135 participants were decomposed into eight independent networks of covarying GM and WM via parallel ICA. Subsequently, stepwise regression and Random Forest were used to predict NPT. We hypothesized that a fronto-temporo parietal network, mainly related to the default mode network, may be involved in NPT and associated WM regions. Results demonstrated a distributed network that included GM alterations in fronto-temporal regions, the insula and the cingulate cortex, along with WM alterations in cerebellar and thalamic regions. To assess the specificity of our findings, we also examined whether the brain network predicting narcissism could also predict other personality traits (i.e., histrionic, paranoid and avoidant personalities). Notably, this network did not predict such personality traits. Additionally, a supervised machine learning model (Random Forest) was used to extract a predictive model for generalization to new cases. Results confirmed that the same network could predict new cases. These findings hold promise for advancing our understanding of personality traits and potentially uncovering brain biomarkers associated with narcissism.
... Narcissistic traits, characterized by the absence of certain qualities such as self-control and empathy (Jornkokgoud et al. 2023;Vazire and Funder 2006) as well as by the relentless pursuit of rewards and attention to maintain self-esteem and grandiosity (Buss and Chiodo 1991;Chester et al. 2016;Lakey et al. 2008), are well documented. The observed reduction in brain concentration in areas related to reward and emotion regulation might reflect these deficits (Decety and Lamm 2006;Singer and Lamm 2009). ...
... Moreover, the decreased volume of GM and WM concentration in frontal-paralimbic brain regions provides additional support for the notion that structural alterations contribute to narcissistic traits (Schulze et al. 2013). As a matter of fact, Chester et al. (2016) found that grandiose narcissistic individuals had a frontostriatal weakened connectivity, suggesting that it might reflect their pursual of external affirmation as a way to make up for the gap between their actual and expected self-rewards. ...
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The Dark Triad (DT), encompassing narcissism, Machiavellianism and psychopathy traits, poses significant societal challenges. Understanding the neural underpinnings of these traits is crucial for developing effective interventions and preventive strategies. Our study aimed to unveil the neural substrates of the DT by examining brain scans from 201 individuals (mean age: 32.43, 105 females) using the unsupervised learning algorithm transposed independent vector analysis (tIVA). tIVA, known for identifying complex patterns in neuroimaging data, detected 15 joint grey matter (GM) and white matter (WM) networks. Of these networks, four were associated with the DT. The first component comprises areas within the reward network, including the thalamus, caudate, anterior cingulate and prefrontal regions. The second component encompasses regions within the executive network, predominantly involving prefrontal and posterior areas. The third component includes regions within the default mode network (DMN), such as the angular gyrus, the precuneus and the posterior cingulate cortex. Lastly, the fourth component overlaps with areas of the visual network, primarily located in the occipital and temporal lobes. Within these networks, the reward‐related component correlated with narcissism, suggesting an association with the need for constant interpersonal rewards to enhance self‐esteem and grandiosity in narcissistic individuals. Conversely, the DM‐related component correlated with Machiavellianism, potentially reflecting the heightened strategic thinking employed by Machiavellian individuals for manipulation purposes. In line with established trends, sex differences emerged, with males displaying notably higher DT scores. Our findings offer insights into the intricate neurobiological bases of the DT personality and hold implications for future research and interventions.
... 28 Narcissism is also associated with a weakened frontostriatal pathway, and one theory posits that narcissism is caused by a neural disconnect between the self and reward circuits. 31 Narcissists have a larger disparity between their baseline and desired levels of self-reward connectivity compared to non-narcissists. However, an alternative explanation could be that narcissists possess a similar baseline of self-reward connectivity to others, but the amount or magnitude of stimulus necessary to reach their desired levels of self-esteem may be larger. ...
... Indeed, if narcissists do not possess an intrinsically robust frontostriatal connection, external affirmations are unlikely to hold a strong hedonic magnitude. 31 We found that narcissistic personality traits in ADHD patients responded to pharmacotherapy with methylphenidate; moreover, both grandiose and fragile/covert narcissistic traits benefited from the treatment, showing significant improvement. This suggests that psychostimulant treatment may be strongly linked to the ability to improve frontostriatal circuit-dependent cognition. ...
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Objective The purpose of this study was to investigate changes in narcissistic personality traits and empathy deficits in adults with attention-deficit hyperactivity disorder (ADHD) after pharmacotherapy, focusing on psychostimulant treatment. Understanding these comorbidities is crucial for optimizing treatment and improving therapeutic outcomes. Methods This cross-sectional cohort study consisted of 75 randomly selected ADHD patients. The patients were started on methylphenidate or atomoxetine as per the indications for treatment. A Sociodemographic Data Form, Adult ADHD Self-Report Scale (ASRS), Pathological Narcissism Inventory (PNI), and Empathy Quotient (EQ) were applied. Based on the study design, Adult ASRS, PNI and EQ were re-administered to the patients at the end of 3 months of treatment. The levels of pathological narcissism and empathy in patients were assessed before and after treatment. Results The median and minimum–maximum in PNI grandiosity score decreased significantly from 67.00 (30-108) before treatment to 60.00 (24-102) after treatment (P < .001). The mean ± Standard Deviation (SD) PNI Vulnerability score decreased statistically significantly from 63.83 ± 26.02 before treatment to 60.06 ± 24.64 after treatment (P = .003). The median and minimum–maximum in PNI total score was 134.50 (64-208) pre-treatment, which showed a statistically significant decrease after treatment (P < .001). The mean ± SD EQ score decreased statistically significantly from 33.86 ± 7.03 before treatment to 36.53 ± 7.55 after treatment (P = .001). Conclusion Psychostimulant treatment in adult ADHD patients can ameliorate narcissistic traits and enhance empathy, thereby improving social functioning and interpersonal relationships. These findings suggest that psychostimulants may positively modulate neural circuits involved in narcissism and empathy, potentially leading to better treatment outcomes.
... Similarly, trait narcissism has been associated with grey matter volume in similar brain regions, including the mPFC/vmPFC, subgenual and mid-ACC, rostral dorsolateral PFC (dlPFC), and insula (Mao et al., 2016;Nenadi c et al., 2021;Yang et al., 2015). Finally, diffusion tensor imaging revealed that trait narcissism was associated with reduced white matter integrity in a fronto-striatal pathway connecting the mPFC and the ventral striatum (Chester et al., 2016). Broadly, these "offline" neural trait findings suggest that (i) trait narcissism is indeed a multidimensional construct that relies on multiple neural regions and (ii) these regions may reflect differences in social cognition (mPFC, e.g., Van Overwalle, 2009 and self-regulation processes (lPFC, e.g., Heatherton, 2011). ...
... First, the EEG was rereferenced to the electrodes TP9 and TP10 (left and right mastoid electrodes) and down-sampled to 256 Hz. Note that we used averaged mastoid reference largely based on the expectation that different facets of narcissism would be associated with function in frontalmidline structures and, as such, signals at fronto-central electrodes (based on established links in Chester et al., 2016;Feng et al., 2018;Mao et al., 2016;Nenadi c et al., 2021;Yang et al., 2015). An average reference has the potential to over-represent the signal at these frontocentral electrodes, thereby attenuating the amplitudes from these regions. ...
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Trait narcissism is characterized by significant heterogeneity across individuals. Despite advances in the conceptualization of narcissism, including the increasing recognition that narcissism is a multidimensional construct, the sources of this heterogeneity remain poorly understood. Here, we used a neural trait approach to help better understand “how,” and shed light on “why,” individuals vary in facets of trait narcissism. Participants ( N = 58) first completed personality measures, including the Narcissistic Personality Inventory (NPI), and then in a second session sat passively while resting‐state electroencephalography (rs‐EEG) was recorded. We then regressed source‐localized rs‐EEG activity on the distinct facets of narcissism: Grandiose Exhibitionism (GE), Entitlement/Exploitativeness (EE), and Leadership/Authority (LA). Results revealed that each facet was associated with different (though sometimes overlapping) neural sources. Specifically, GE was associated with reduced activation in the dorsomedial prefrontal cortex (DMPFC). EE was associated with reduced activation in the DMPFC and right lateral PFC. LA was associated with increased activation in the left anterior temporal cortex. These findings support the idea that trait narcissism is a multidimensional construct undergirded by individual differences in neural regions related to social cognition (the DMPFC), self‐regulation (right lateral PFC), and self‐referential processing (left anterior temporal cortex).
... Both clinical and non-clinical investigations have explored narcissistic traits (Nenadić et al., 2021), primarily relying on validated questionnaires, such as the Narcissistic Personality Inventory (NPI) (Raskin & Hall, 1979). However, research into the structural and functional correlates of narcissistic traits remains limited, with most studies having used separate analyses of a single neuroimaging modality, specifically gray matter (GM) or white matter (WM) (Chester et al., 2016;Jornkokgoud et al., 2023;Nenadić et al., 2021), and having employed univariate methods. ...
... Furthermore, we expected to identify WM abnormalities in fronto-temporal regions, along with thalamic and cerebellar areas, consistent with prior research on personality (Assaf & Pasternak, 2008;Chester et al., 2016), and known to support the DMN functionality (Teipel et al., 2010). These regions may subserve diverse functions related to personality, from fronto-temporal distorted representations of self and others (Hu et al., 2016), to the cingulate and insular regions contributing to unusual emotional experiences (Medford & Critchley, 2010), to the cerebellum's role in various forms of psychopathology (Phillips et al., 2015). ...
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Despite the clinical significance of narcissistic personality, its neural bases have not been clear yet, primarily due to methodological limitations of the previous studies, such as the low sample size, the use of univariate techniques and the focus on only one brain modality. In this study, we employed for the first time a combination of unsupervised and supervised machine learning methods, to identify the joint contributions of gray (GM) and white matter (WM) to narcissistic personality traits (NPT). After preprocessing, the brain scans of 135 participants were decomposed into eight independent networks of covarying GM and WM via Parallel ICA. Subsequently, stepwise regression and Random Forest were used to predict NPT. We hypothesize that a fronto-temporo parietal network mainly related to the Default Mode Network, may be involved in NPT and white matter regions related to these regions. Results demonstrated a distributed network that included GM alterations in fronto-temporal regions, the insula, and the cingulate cortex, along with WM alterations in cerebellar and thalamic regions. To assess the specificity of our findings, we also examined whether the brain network predicting narcissism could predict other personality traits (i.e., Histrionic, Paranoid, and Avoidant personalities). Notably, this network did not predict these personality traits. Additionally, a supervised machine learning model (Random Forest) was used to extract a predictive model to generalize to new cases. Results confirmed that the same network could predict new cases. These findings hold promise for advancing our understanding of personality traits and potentially uncovering brain biomarkers associated with narcissism.
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Although the relationship between social media and narcissismin adolescents has been widely studied, the direction of this linkremains unclear to date. This is striking given the potentialdeconstructive consequences of narcissism for adolescents’peer relationships. Therefore, this three-wave panel study(NW1 = 1032) aimed to examine whether increases in adoles-cents’ narcissism levels are (reciprocally) related to increases inposting positive self-presentations on the one hand, and todecreases in peer attachment on the other hand. Althoughnarcissism was significantly and positively related to both post-ing positive self-presentations and peer attachment at thebetween-person level, these findings were not replicated atthe within-person level. At the latter level, only the cross-lagged relationship of narcissism predicting an adolescent’stendency to post appearance-related self-presentations onsocial media was significant. Multiple group tests for sex andreceiving positive feedback on one’s self-presentations showedno differences in these within-person associations.
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Significance Narcissistic individuals feel superior to others, fantasize about personal successes, and believe they deserve special treatment. When they feel humiliated, they often lash out aggressively or even violently. Unfortunately, little is known about the origins of narcissism. Such knowledge is important for designing interventions to curtail narcissistic development. We demonstrate that narcissism in children is cultivated by parental overvaluation: parents believing their child to be more special and more entitled than others. In contrast, high self-esteem in children is cultivated by parental warmth: parents expressing affection and appreciation toward their child. These findings show that narcissism is partly rooted in early socialization experiences, and suggest that parent-training interventions can help curtail narcissistic development and reduce its costs for society.
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