Sabrina K Syan1, Luciano Minuzzi2, Dustin Costescu3, Mara Smith4, Olivia R Allega1, Marg Coote4, Geoffrey B C Hall5, Benicio N Frey6. 1. MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, Ontario, Canada; Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada. 2. MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, Ontario, Canada; Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada; Mood Disorders Program, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada; Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada. 3. Department of Obstetrics and Gynecology, McMaster University, Hamilton, Ontario, Canada. 4. Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada. 5. MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, Ontario, Canada; Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada. 6. MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, Ontario, Canada; Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada; Mood Disorders Program, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada; Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada. Electronic address: freybn@mcmaster.ca.
Abstract
OBJECTIVE: To [1] study brain resting state functional connectivity (Rs-FC) in a well-characterized sample of healthy women in the mid-follicular and late luteal phases of the menstrual cycle; and [2] examine the correlation between endogenous E2, P, allopregnanolone, and DHEAS and patterns of Rs-FC across the menstrual cycle. DESIGN: We studied the Rs-FC of the default mode network, salience network, meso-paralimbic network, fronto-parietal network, visual network, and sensorimotor network in the mid-follicular and late luteal phases. Serum levels of E2, P, allopregnanolone, and DHEAS were correlated to patterns of functional connectivity. SETTING: University medical center. PATIENT(S): Twenty-five healthy women with regular menstrual cycles. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Functional connectivity of key brain networks at rest and correlations of hormones to Rs-FC in the mid-follcuar and late luteal menstrual phases. RESULT(S): There were no differences in Rs-FC between the mid-follicular and late luteal menstrual phases using either independent component analysis or seed-based analysis. However, specific correlations between each hormone and patterns of functional connectivity were found in both menstrual cycle phases. CONCLUSION(S): It seems that the association between female sex hormones and brain Rs-FC is menstrual cycle phase-dependent. Future studies should examine the cognitive and behavioral correlates of this association in regularly cycling women.
OBJECTIVE: To [1] study brain resting state functional connectivity (Rs-FC) in a well-characterized sample of healthy women in the mid-follicular and late luteal phases of the menstrual cycle; and [2] examine the correlation between endogenous E2, P, allopregnanolone, and DHEAS and patterns of Rs-FC across the menstrual cycle. DESIGN: We studied the Rs-FC of the default mode network, salience network, meso-paralimbic network, fronto-parietal network, visual network, and sensorimotor network in the mid-follicular and late luteal phases. Serum levels of E2, P, allopregnanolone, and DHEAS were correlated to patterns of functional connectivity. SETTING: University medical center. PATIENT(S): Twenty-five healthy women with regular menstrual cycles. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Functional connectivity of key brain networks at rest and correlations of hormones to Rs-FC in the mid-follcuar and late luteal menstrual phases. RESULT(S): There were no differences in Rs-FC between the mid-follicular and late luteal menstrual phases using either independent component analysis or seed-based analysis. However, specific correlations between each hormone and patterns of functional connectivity were found in both menstrual cycle phases. CONCLUSION(S): It seems that the association between female sex hormones and brain Rs-FC is menstrual cycle phase-dependent. Future studies should examine the cognitive and behavioral correlates of this association in regularly cycling women.
Authors: Steven Jett; Eva Schelbaum; Grace Jang; Camila Boneu Yepez; Jonathan P Dyke; Silky Pahlajani; Roberta Diaz Brinton; Lisa Mosconi Journal: Front Aging Neurosci Date: 2022-07-19 Impact factor: 5.702
Authors: Sabrina K Syan; Luciano Minuzzi; Mara Smith; Dustin Costescu; Olivia R Allega; Geoffrey B C Hall; Benicio N Frey Journal: Front Psychiatry Date: 2018-01-10 Impact factor: 4.157
Authors: Maiko A Schneider; Poli M Spritzer; Luciano Minuzzi; Benicio N Frey; Sabrina K Syan; Tayane M Fighera; Karine Schwarz; Ângelo B Costa; Dhiordan C da Silva; Cláudia C G Garcia; Anna M V Fontanari; André G Real; Maurício Anes; Juliana U Castan; Fernanda R Cunegatto; Maria I R Lobato Journal: Front Neurosci Date: 2019-08-07 Impact factor: 4.677