A cross-sectional analysis of brain structure, pain behaviors, and mental health in persons with surgically confirmed endometriosis

Endometriosis is a highly prevalent and often painful gynecological condition that can emerge in adolescence and can be experienced throughout a person's lifetime. This cross-sectional investigation performed structural brain imaging and a battery of psychological and clinical tests on persons from adolescence (lowest age=12) to adulthood (highest age=44) with surgically confirmed endometriosis (SCE; n = 43) and persons never diagnosed with endometriosis and without report of pelvic pain (NDE; n = 26) to understand the impact of endometriosis associated pain on brain health. We observed an interaction wherein cortical thickness in the right superior frontal gyrus was negatively associated with age only in persons with SCE. A comparison of brain volumes demonstrated lower volume in the SCE group in the fusiform gyrus (left hemisphere) and lateral occipital cortex (right hemisphere). More research is required at the level of brain circuitry to understand the impact of endometriosis associated pain on the early and developed brain.

Authors

Institutions

Publication Details

Journal
Communications Biology
Published
2025-11-20
DOI
https://doi.org/10.1038/s42003-025-08952-6
Citations
1
Primary Topic
Endometriosis Research and Treatment
Type
article
Field-Weighted Citation Impact
1.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A cross-sectional analysis of brain structure, pain behaviors, and mental health in persons with surgically confirmed endometriosis

Claire E. Lunde, Rami Burstein, Ayeong Kim, Scott A. Holmes et al.
1 citations
Communications Biology
Endometriosis Research and Treatment
1.70
article

A cross-sectional analysis of brain structure, pain behaviors, and mental health in persons with surgically confirmed endometriosis

Claire E. Lunde, Rami Burstein, Ayeong Kim, Scott A. Holmes, Christine B. Sieberg, R.M. Anchan, Edina Szabó, Maya L. Jotwani, Gabriela Comptdaer, David Borsook, Marc R. Laufer, Meghan E. Pierce, Stacey A. Missmer
article en
1 citations

Abstract

Endometriosis is a highly prevalent and often painful gynecological condition that can emerge in adolescence and can be experienced throughout a person's lifetime. This cross-sectional investigation performed structural brain imaging and a battery of psychological and clinical tests on persons from adolescence (lowest age=12) to adulthood (highest age=44) with surgically confirmed endometriosis (SCE; n = 43) and persons never diagnosed with endometriosis and without report of pelvic pain (NDE; n = 26) to understand the impact of endometriosis associated pain on brain health. We observed an interaction wherein cortical thickness in the right superior frontal gyrus was negatively associated with age only in persons with SCE. A comparison of brain volumes demonstrated lower volume in the SCE group in the fusiform gyrus (left hemisphere) and lateral occipital cortex (right hemisphere). More research is required at the level of brain circuitry to understand the impact of endometriosis associated pain on the early and developed brain.

Communications BiologyVol. 8(1)
Boston University (US), Brigham and Women's Hospital (US), Boston Children's Hospital (US), Beth Israel Deaconess Medical Center (US), Harvard University (US), University of Massachusetts Chan Medical School (US), University of Michigan (US), VA Boston Healthcare System (US), Massachusetts General Hospital (US), Center for Pain and the Brain (US)
Openalex Percentile: Top 11%
Endometriosis Research and Treatment
1.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.