SHILPI MODI1, DIVESH THAPLOO1, PAWAN KUMAR1, and SUBASH KHUSHU1
1NMR Research Centre, Institute of Nuclear Medicine and Allied Sciences (INMAS), Delhi, India
Synopsis
Trait
anxiety affects brain functioning and cognition as suggested by various
neuroimaging and behavioural studies. It is also a a prone phenotype for
the development of psychiatric disorders. Therefore, in order to identify individuals that are
at risk for the development of clinical anxiety disorders and depression,
identifying hallmarks of trait anxiety becomes important, to fascilitate timely
preventive interventions. We investigated the structural
correlates of trait anxiety in healthy participants using high resolution structural MRI. Results suggest that a reduction in the gray matter volumes of the hypothalamus may be putative imaging marker for trait anxiety.
Introduction
According to the reports of Anxiety and Depression Association of America, anxiety disorders are the most common mental illness in the US affecting around 18% of the population costing almost one-third of the country’s medical bill (approx. $42 billion a year).Trait anxiety (as measured by Spielberger's State-Trait Anxiety Inventory (STAI)), an individual's disposition to
experience anxiety-relevant feelings or thoughts, is particularly a prone
phenotype for the development of psychiatric disorders (Spielberger, 1983;Sandi and Richter-Levin, 2009; Greening and
Mitchell, 2015). Studying the neural underpinnings of trait
anxiety may help in identifying a putative biomarker for trait anxiety. In this study, we investigated the structural
correlates of trait anxiety in healthy participants. Materials and Methods
High resolution structural images were acquired from 76 right-handed healthy participants using 3T whole-body MRI system (Magnetom Skyra,
Siemens) with a 20-channel head and neck coil and 45 mT/ m
actively-shielded gradient system. Data were preprocessed using statistical parametric
mapping (SPM8) . All the steps were carried out as suggested by Ashburner,
2010 (www.fil.ion.ucl.ac.uk/~john/misc/VBMclass10.pdf). Gray
matter (GM) volumes were extracted
from a priori regions of
interest (ROIs) that were earlier implicated in anxiety like behaviour (i.e., hippocampus, amygdala, anterior cingulate cortex
(ACC), thalamus, hypothalamus, dorsolateral prefrontal cortex (DLPFC), rostrolateral
prefrontal cortex (RLPFC) and ventrolateral prefrontal cortex (VLPFC)) using the WFU Pickatlas. The extracted GM volumes were normalized by
dividing them with total intracranial volumes of the individual subjects.
An index of the adjusted volume for each ROI was obtained by multiplying the
normalized volumes with 100. Partial correlation analysis was carried out
between the normalized adjusted GM values from various ROIs and the
trait anxiety scores of the subjects, with age, sex, and Beck Depression Inventory
(BDI) score of each subject as covariates of no interest. Hierarchical multiple regression analysis was
conducted with the normalized adjusted GM volumes of all the ROIs as
predictors and trait anxiety scores as predicted variable. Controlling for the effects of age, sex,
sub-clinical depression (BDI scores), anxiety group (median split on the basis
of trait anxiety score) (high anxiety group (N = 41, trait anxiety score = 38-57)
vs lower anxiety group (N = 35, trait anxiety score = 21-37)) and normalized
adjusted GM volumes of all the ROIs were analyzed with Multivariate Analysis of
COVAriance (MANCOVA) using general linear model .Results
Descriptive statistics for self-report measures
are as: Trait anxiety score (STAI-Y2) = 38.18 + 8.22 (range 21 - 57);
BDI = 6.92 + 3.37 (range 0 - 12). Trait anxiety was
found to be negatively correlated with the GM volume of hypothalamus (N
= 76; r = -0.336, p = 0.004; 2-tailed). BDI score (p=0.000), age (p=0.037), sex
(p=0.013) and GM volume of hypothalamus (p=0.012) were found to
be significant predictors of trait anxiety using hierarchical regression
analysis. MANCOVA showed that the group (high/low trait anxiety)
had a partially significant effect on GM volumes of the ROIs (Wilk’s Lambda =
0.814, F (8, 64) = 1.825, p= 0.089, partial h2 = 0.186). The univariate results showed that the
GM volume in hippocampus and hypothalamus was lower in high trait anxiety group
(N = 41) as compared to low trait anxiety group (N=35) (hippocamous: F = 5.245,
p = 0.025; hypothalamus: F = 5.388, p = 0.023). Discussion
To the best of our knowledge, the current study is
the first to link higher levels of trait anxiety in healthy young adults to
smaller GM volumes in the hypothalamus. The
finding is in lines with the findings in an earlier
study in patients with generalized anxiety disorders (GAD) (Terlevic et al.,
2013). According to the authors the patients with GAD are subjected to a higher
cumulative dose of cortisol that might be associated with worrying thoughts and
an abnormal hypothalamic pituitary axis (HPA) axis activation. Hypothalamic corticotropin-releasing hormone (CRH) has
been known to regulate neuroendocrine functions such as adrenal glucocorticoid
release (Zhang et al., 2017). Authors speculated that the increased levels of circulating
glucocorticoids (GCs) in the paraventricular nucleus of the hypothalamus might
result in a reduction in the hypothalamic volumes through the action on glucocorticoid
receptors and finally leading to neuronal atrophy, neurotoxicity and neuroendangerment. The similarity between the findings obtained in the current study on healthy
individuals and previous findings obtained in GAD patients suggests that subclinical
and clinical populations might share the mechanisms linking anxiety and hypothalamic
brain volumes. Thus, studying the healthy
population that is at risk of developing affective disorders can further inform
our understanding of the etiology of these disorders (Montag et al., 2013) and
may help in designing strategies to mitigate them. Acknowledgements
The work was supported by R&D Project No. INM 311 of Defence R&D Organisation, Ministry of Defence, India.References
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