Sabrina K Syan1,2, Luciano Minuzzi1,2,3,4, Mara Smith4, Olivia R Allega1,2, Geoffrey Bc Hall1,5, Benicio N Frey1,2,3,4. 1. MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada. 2. Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, ON, Canada. 3. Mood Disorders Program, St. Joseph's Healthcare Hamilton, ON, Canada. 4. Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada. 5. Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada.
Abstract
OBJECTIVES: Periods of euthymia in bipolar disorder (BD) serve as a valuable time to study trait-based pathophysiology. The use of resting state functional connectivity (Rs-FC) can aid in the understanding of BD pathophysiology free of task or mood state biases. The present study investigated two unexplored areas of Rs-FC research in bipolar remission: (i) Rs-FC in women, controlling for the potential influence of premenstrual symptoms, and (ii) the use of both independent component analysis (ICA) and seed-based analysis (SBA) to investigate Rs-FC. METHODS: We investigated Rs-FC of the default mode network, meso-paralimbic network and fronto-parietal network in a sample of 32 euthymic women with BD and 36 age-matched controls during the mid-follicular phase of their menstrual cycle. Rs-FC was assessed with ICA and SBA using the posterior cingulate cortex (PCC), amygdala and dorsolateral prefrontal cortex (dlPFC) as seed points for their respective resting state networks. RESULTS: In BD, compared to controls, SBAs revealed increased coupling between the PCC and the angular gyrus (P=.002, false discovery rate [FDR]-corrected) and between the right dlPFC and the brainstem (P=.03, FDR-corrected). In BD only, PCC-angular gyrus coupling was correlated with anxiety symptoms. Group differences in Rs-FC using ICA did not survive multiple comparisons. CONCLUSIONS: Negative findings from whole-brain ICA Rs-FC may reflect a state of clinical remission in BD. Heightened activation between the PCC and the angular gyrus and between the dlPFC and the brainstem may reflect (i) an abnormal trait integration of affective information during clinical remission and/or (ii) an adaptive compensatory mechanism required for clinical stabilization.
OBJECTIVES: Periods of euthymia in bipolar disorder (BD) serve as a valuable time to study trait-based pathophysiology. The use of resting state functional connectivity (Rs-FC) can aid in the understanding of BD pathophysiology free of task or mood state biases. The present study investigated two unexplored areas of Rs-FC research in bipolar remission: (i) Rs-FC in women, controlling for the potential influence of premenstrual symptoms, and (ii) the use of both independent component analysis (ICA) and seed-based analysis (SBA) to investigate Rs-FC. METHODS: We investigated Rs-FC of the default mode network, meso-paralimbic network and fronto-parietal network in a sample of 32 euthymic women with BD and 36 age-matched controls during the mid-follicular phase of their menstrual cycle. Rs-FC was assessed with ICA and SBA using the posterior cingulate cortex (PCC), amygdala and dorsolateral prefrontal cortex (dlPFC) as seed points for their respective resting state networks. RESULTS: In BD, compared to controls, SBAs revealed increased coupling between the PCC and the angular gyrus (P=.002, false discovery rate [FDR]-corrected) and between the right dlPFC and the brainstem (P=.03, FDR-corrected). In BD only, PCC-angular gyrus coupling was correlated with anxiety symptoms. Group differences in Rs-FC using ICA did not survive multiple comparisons. CONCLUSIONS: Negative findings from whole-brain ICA Rs-FC may reflect a state of clinical remission in BD. Heightened activation between the PCC and the angular gyrus and between the dlPFC and the brainstem may reflect (i) an abnormal trait integration of affective information during clinical remission and/or (ii) an adaptive compensatory mechanism required for clinical stabilization.
Authors: Leila Nabulsi; Genevieve McPhilemy; Liam Kilmartin; Joseph R Whittaker; Fiona M Martyn; Brian Hallahan; Colm McDonald; Kevin Murphy; Dara M Cannon Journal: Biol Psychiatry Cogn Neurosci Neuroimaging Date: 2019-11-11
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: Giusy Olivito; Michela Lupo; Andrea Gragnani; Marco Saettoni; Libera Siciliano; Corinna Pancheri; Matteo Panfili; Mara Cercignani; Marco Bozzali; Roberto Delle Chiaie; Maria Leggio Journal: Cerebellum Date: 2021-08-25 Impact factor: 3.648