Dataset Information

Resting-state functional connectivity in women with PMDD.

ABSTRACT:

Background

Premenstrual dysphoric disorder (PMDD) is an understudied, debilitating disorder of women. Given evidence for prefrontal cortical and limbic dysfunction in PMDD, we compared intrinsic connectivity of the executive control network (ECN), default mode network (DMN), and amygdala in women with PMDD vs. controls.

Methods

Thirty-six women (18 PMDD, 18 control) participated in fMRI during the follicular and luteal phases of the menstrual cycle. At each time, resting-state functional connectivity was evaluated both before and after participants performed an emotion regulation task. The ECN was identified using independent components analysis, and connectivity of left and right amygdala seeds was also evaluated.

Results

Nonparametric permutation testing identified a cluster in the left middle temporal gyrus (MTG) with significantly stronger connectivity to the left ECN in women with PMDD vs. controls in all four fMRI sessions. Women with PMDD exhibited no difference in functional connectivity between menstrual cycle phases. Amygdala connectivity did not differ between the groups but differed significantly with menstrual phase, with left amygdala connectivity to cingulate cortex being significantly stronger during the follicular vs. luteal phase. Right amygdala connectivity to the middle frontal gyrus was also stronger during the follicular vs. luteal phase, with no group differences. These findings suggest that women with PMDD have different intrinsic network dynamics in the left executive control network compared to healthy controls.

SUBMITTER: Petersen N

PROVIDER: S-EPMC6906514 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Publications

Resting-state functional connectivity in women with PMDD.

Petersen Nicole N Ghahremani Dara G DG Rapkin Andrea J AJ Berman Steven M SM Wijker Noor N Liang Letty L London Edythe D ED

Translational psychiatry 20191211 1

<h4>Background</h4>Premenstrual dysphoric disorder (PMDD) is an understudied, debilitating disorder of women. Given evidence for prefrontal cortical and limbic dysfunction in PMDD, we compared intrinsic connectivity of the executive control network (ECN), default mode network (DMN), and amygdala in women with PMDD vs. controls.<h4>Methods</h4>Thirty-six women (18 PMDD, 18 control) participated in fMRI during the follicular and luteal phases of the menstrual cycle. At each time, resting-state fun ...[more]

PMID: 31827073

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Project description:Over the last decade, structure-function relationships have begun to encompass networks of brain areas rather than individual structures. For example, corticostriatal circuits have been associated with sensorimotor, limbic, and cognitive information processing, and damage to these circuits has been shown to produce unique behavioral outcomes in Autism, Parkinson's Disease, Schizophrenia and healthy ageing. However, it remains an open question how abnormal or absent connectivity can be detected at the individual level. Here, we provide a method for clustering gross morphological structures into subregions with unique functional connectivity fingerprints, and generate network probability maps usable as a baseline to compare individual cases against. We used connectivity metrics derived from resting-state fMRI (N = 100), in conjunction with hierarchical clustering methods, to parcellate the striatum into functionally distinct clusters. We identified three highly reproducible striatal subregions, across both hemispheres and in an independent replication dataset (N = 100) (dice-similarity values 0.40-1.00). Each striatal seed region resulted in a highly reproducible distinct connectivity fingerprint: the putamen showed predominant connectivity with cortical and cerebellar sensorimotor and language processing areas; the ventromedial striatum cluster had a distinct limbic connectivity pattern; the caudate showed predominant connectivity with the thalamus, frontal and occipital areas, and the cerebellum. Our corticostriatal probability maps agree with existing connectivity data in humans and non-human primates, and showed a high degree of replication. We believe that these maps offer an efficient tool to further advance hypothesis driven research and provide important guidance when investigating deviant connectivity in neurological patient populations suffering from e.g., stroke or cerebral palsy. Hum Brain Mapp 38:1478-1491, 2017. © 2016 Wiley Periodicals, Inc.

Dataset Information

Resting-state functional connectivity in women with PMDD.

Background

Methods

Results

Publications

Resting-state functional connectivity in women with PMDD.

Similar Datasets

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