Altered resting state dynamic functional connectivity of amygdala subregions in patients with autism spectrum disorder: A multi-site fMRI study

Gao, Yanyan; Sun, Jia; Cheng, Lulu; Yang, Qing; Li, Jing; Hao, Zeqi; Zhan, Linlin; Shi, Yuyu; Li, Mengting; Jia, Xize; Li, Huayun

doi:10.1016/j.jad.2022.06.011

Cited by 14 publications

(4 citation statements)

References 79 publications

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“…Accordingly, in humans, a disruption within these AMG-mPFC circuits leads to various mental illnesses characterized by maladaptive behavioral responses, i.e. exaggerated, reduced, or even an absence, and/or an atypical behavior ( Blair, 2008 ; Kim et al, 2011a ; Murray et al, 2011 ; Swartz et al, 2013 ; Likhtik and Paz, 2015 ; Nicholson et al, 2015 ; Mukherjee et al, 2016 ; Dong et al, 2019 ; Li et al, 2021 ; Cao et al, 2022 ; Gao et al, 2022 ). In particular, the LA nucleus in humans is a very sensible target to a large number of neuropsychiatric diseases.…”

Section: Multiple Routes Of Communication Within the Amygdala-mpfc Ne...mentioning

confidence: 99%

Multiple routes of communication within the amygdala-mPFC network: A comparative approach in humans and macaques

Giacometti

Amiez

Hadj-Bouziane

2023

Current Research in Neurobiology

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Section: Multiple Routes Of Communication Within the Amygdala-mpfc Ne...mentioning

confidence: 99%

Multiple routes of communication within the amygdala-mPFC network: A comparative approach in humans and macaques

Giacometti

Amiez

Hadj-Bouziane

2023

Current Research in Neurobiology

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“…In order to figure out the development of heterogeneity of functional brain networks in ASD, longitudinal data including subjects at different developmental stages are needed for future longitudinal studies. Third, recent studies have shown that resting-state FC is a dynamic process [ 31 , 58 , 59 ], and it is necessary to develop dynamic subtyping methods in the future, which may better reveal ASD heterogeneity. Finally, the present study was a unimodal study based on inter-individual heterogeneity of functional brain networks and the influence of structural brain networks needs to be considered in future studies.…”

Section: Limitationsmentioning

confidence: 99%

Inter-individual heterogeneity of functional brain networks in children with autism spectrum disorder

et al. 2022

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Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder with considerable clinical heterogeneity. This study aimed to explore the heterogeneity of ASD based on inter-individual heterogeneity of functional brain networks. Methods Resting-state functional magnetic resonance imaging data from the Autism Brain Imaging Data Exchange database were used in this study for 105 children with ASD and 102 demographically matched typical controls (TC) children. Functional connectivity (FC) networks were first obtained for ASD and TC groups, and inter-individual deviation of functional connectivity (IDFC) from the TC group was then calculated for each individual with ASD. A k-means clustering algorithm was used to obtain ASD subtypes based on IDFC patterns. The FC patterns were further compared between ASD subtypes and the TC group from the brain region, network, and whole-brain levels. The relationship between IDFC and the severity of clinical symptoms of ASD for ASD subtypes was also analyzed using a support vector regression model. Results Two ASD subtypes were identified based on the IDFC patterns. Compared with the TC group, the ASD subtype 1 group exhibited a hypoconnectivity pattern and the ASD subtype 2 group exhibited a hyperconnectivity pattern. IDFC for ASD subtype 1 and subtype 2 was found to predict the severity of social communication impairments and the severity of restricted and repetitive behaviors in ASD, respectively. Limitations Only male children were selected for this study, which limits the ability to study the effects of gender and development on ASD heterogeneity. Conclusions These results suggest the existence of subtypes with different FC patterns in ASD and provide insight into the complex pathophysiological mechanism of clinical manifestations of ASD.

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“…We found that changes in both sFC and dFCv were associated with improvements in overall mood and anhedonia. While sFC measures temporal correlations and can determine whether there is a strong or weak excitatory or inhibitory relationship between brain regions, dFCv determines the degree of fluctuations in connectivity strength between brain regions, which are also reported as relevant to psychiatric disease states (Chen et al., 2022 ; Gao et al., 2022 ; He et al., 2018 ; Kaiser et al., 2016 ; Qiao et al., 2020 ; Rolls et al., 2021 ; Zhou et al., 2021 ). Prior studies have reported differences in dynamic FC from the Hb (Qiao et al., 2020 ) and striatum (Chen et al., 2022 ; Zhou et al., 2022 ) in depressed participants when compared to HC, further highlighting dynamic alterations in reward circuitry as a potential biomarker for MDD.…”

Section: Discussionmentioning

confidence: 99%

Modulation of habenular and nucleus accumbens functional connectivity by ketamine in major depression

Taraku,

Loureiro,

Sahib

et al. 2024

Brain and Behavior

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IntroductionMajor depressive disorder (MDD) is associated with dysfunctional reward processing, which involves functional circuitry of the habenula (Hb) and nucleus accumbens (NAc). Since ketamine elicits rapid antidepressant and antianhedonic effects in MDD, this study sought to investigate how serial ketamine infusion (SKI) treatment modulates static and dynamic functional connectivity (FC) in Hb and NAc functional networks.MethodsMDD participants (n = 58, mean age = 40.7 years, female = 28) received four ketamine infusions (0.5 mg/kg) 2−3 times weekly. Resting‐state functional magnetic resonance imaging (fMRI) scans and clinical assessments were collected at baseline and 24 h post‐SKI. Static FC (sFC) and dynamic FC variability (dFCv) were calculated from left and right Hb and NAc seeds to all other brain regions. Changes in FC pre‐to‐post SKI, and correlations with changes with mood and anhedonia were examined. Comparisons of FC between patients and healthy controls (HC) at baseline (n = 55, mean age = 32.6, female = 31), and between HC assessed twice (n = 16) were conducted as follow‐up analyses.ResultsFollowing SKI, significant increases in left Hb‐bilateral visual cortex FC, decreases in left Hb‐left inferior parietal cortex FC, and decreases in left NAc‐right cerebellum FC occurred. Decreased dFCv between left Hb and right precuneus and visual cortex, and decreased dFCv between right NAc and right visual cortex both significantly correlated with improvements in mood ratings. Decreased FC between left Hb and bilateral visual/parietal cortices as well as increased FC between left NAc and right visual/parietal cortices both significantly correlated with improvements in anhedonia. No differences were observed between HC at baseline or over time.ConclusionSubanesthetic ketamine modulates functional pathways linking the Hb and NAc with visual, parietal, and cerebellar regions in MDD. Overlapping effects between Hb and NAc functional systems were associated with ketamine's therapeutic response.

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Altered resting state dynamic functional connectivity of amygdala subregions in patients with autism spectrum disorder: A multi-site fMRI study

Cited by 14 publications

References 79 publications

Multiple routes of communication within the amygdala-mPFC network: A comparative approach in humans and macaques

Multiple routes of communication within the amygdala-mPFC network: A comparative approach in humans and macaques

Inter-individual heterogeneity of functional brain networks in children with autism spectrum disorder

Modulation of habenular and nucleus accumbens functional connectivity by ketamine in major depression

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