Haoran Xu1,2, Rui Wang1,2, and Qiyong Gong1,3
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China, 3Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen, China
Synopsis
Keywords: Psychiatric Disorders, fMRI (resting state), anxiety disorders
Motivation: It is necessary to clarify the neurobiological mechanisms of anxiety disorders (ADs) to provide a unique biomarker for diagnosing ADs, facilitating accurate clinical diagnosis and targeted therapeutic interventions.
Goal(s): The primary objective is to elucidate the specific abnormalities in individuals with ADs' amygdala-based whole-brain connectivity.
Approach: The coordinate-based meta-analysis was conducted to find amygdala resting-state functional connectivity in patients with ADs. Furthermore, subgroup analysis was performed to explore potential functional lateralization.
Results: Distinct functional connectivity abnormalities were found in ADs, which provides a reference for diagnosing ADs.
Impact: These findings not only
enhance our understanding of the underlying pathophysiological mechanisms in
ADs but also may be valuable for the prevention, diagnosis and intervention of
ADs.
INTRODUCTION
Although
dysfunction of amygdala-related circuits is centrally implicated in anxiety
disorders (ADs)[1, 2], previous
neuroimaging studies using resting-state functional magnetic resonance imaging
in ADs reported inconsistent findings on whole-brain functional connectivity of
the amygdala. It is necessary to clarify the aberrant
resting-state functional connectivity of the amygdala in ADs using Seed-based d
Mapping with Permutation of Subject Images (SDM-PSI), which
may contribute to the identification of potential biomarkers that could be
valuable for the prevention, diagnosis and intervention of affective disorders.METHODS
All relevant studies were systematically
searched until April 6, 2023. Data were extracted from records directly
contrasting ADs and healthy controls, including amygdala-based functional
connectivity magnetic resonance imaging data. Subgroup
analyses were used to control for age differences between studies and investigate
potential differences in functional lateralization.RESULTS
Fourteen datasets (336 ADs and 312 healthy controls) met the predefined
inclusion and exclusion criteria of this meta-analysis. Detailed
sample characteristics of each study were extracted and shown in Figure 1. After TFCE-Corrected, one
consistent and strong decreased connectivity of the amygdala
was observed with a large cluster centred at the left ACC and extending to the
paracingulate gyri. In the relatively lenient case of uncorrected control before
FWE correction, in addition to the left ACC, the resulting meta-analytical map
includes 3 clusters of increased connectivity between the amygdala and other
brain regions. Cluster 1 extends from the left STG to the insula. Cluster 2
extends from the left MTG to the left STG. Cluster 3 extends from the left
calcarine fissure to the left superior occipital gyrus (Figure 2). The results of the adult subgroup analyses were highly
consistent with the pooled meta-analysis findings. In the left
amygdala-based meta-analysis, we found decreased amygdala connectivity with ACC,
which is largely consistent with the results of the main analysis. In the right amygdala-based whole-brain
meta-analysis, no significant results were found. Abnormal coupling of
the amygdala to the ACC in the presence of functional lateralization. DISCUSSION
Through a comprehensive meta-analysis, we show for the
first time the whole-brain resting-state amygdala-based abnormal FC in patients
with ADs. Compared with HCs, ADs patients showed lower FC between the amygdala
and the left ACC extending to the paracingulate gyrus. There is thought to be
an anatomical and functional connection between the ACC and the amygdala. They
work in synergy to process and regulate emotional responses. The decreased FC
between the amygdala and ACC supports the hypothesis of a top-down emotion
dysregulation model for ADs pathogenesis[3, 4]. Aberrant connectivity between the
amygdala and ACC may underlie pervasive attention, interpretation, and memory
bias towards threatening information and persistent negative self-reflection in
ADs patients [5]. Amygdala-ACC FC may be a potential and
promising target for treating ADs. Adult
subgroup meta-analysis showed the same result of reduced rsFC in the adult
study as the main analysis. This suggests no significant difference in FC
abnormalities between adults and children with ADs. ADs patients showed
increased FC between the amygdala and the following areas: left STG, insula, left
MTG, and left calcarine fissure. The STG helps with word recognition, language
comprehension, perception of emotional expression and the high-level cognitive
process of fear experience and amygdala activity regulation [6, 7]. The increased rsFC
between the amygdala and STG may lead to an overreaction to sensations and an
inaccurate understanding of information. MTG is interconnected with the STG in
terms of anatomical location and function. Increased FC between the amygdala
and MTG may reflect an enhanced susceptibility to inaccurate interpretation of
stimuli [8]. The insula is structurally connected to
the amygdala and is involved in perceiving interoceptive states and emotional
processing [9]. When analyzing the bilateral amygdala
separately as seed regions, we observed that the left amygdala demonstrated
decreased rsFC with ACC, whereas the right amygdala did not yield statistically
significant results. This indicates that the ACC exhibited different patterns of
hemispheric asymmetry in rsFC with the left and right amygdala in ADs patients
compared to HCs. The left amygdala predominates in the rsFC of ADs patients. Systematic whole-brain jack-knife
sensitivity analysis and heterogeneity analysis provide
reliable results. Consequently, these findings depicted the neurocircuit model
of ADs traditional pathophysiology through the brain's intrinsic connectivity
and elaborated on the neural mechanisms of ADs.Acknowledgements
No acknowledgement found.References
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