scholarly journals Resting-state functional connectivity of emotion regulation networks in euthymic and non-euthymic bipolar disorder patients

2016 ◽  
Vol 34 ◽  
pp. 56-63 ◽  
Author(s):  
G. Rey ◽  
C Piguet ◽  
A Benders ◽  
S Favre ◽  
SB Eickhoff ◽  
...  

AbstractBackgroundPrevious functional magnetic resonance imaging studies in bipolar disorder (BD) have evidenced changes in functional connectivity (FC) in brain areas associated with emotion processing, but how these changes vary with mood state and specific clinical symptoms is not fully understood.MethodsWe investigated resting-state FC between a priori regions of interest (ROIs) from the default-mode network and key structures for emotion processing and regulation in 27 BD patients and 27 matched healthy controls. We further compared connectivity patterns in subgroups of 15 euthymic and 12 non-euthymic patients and tested for correlations of the connectivity strength with measures of mood, anxiety, and rumination tendency. No correction for multiple comparisons was applied given the small population sample and pre-defined target ROIs.ResultsOverall, regardless of mood state, BD patients exhibited increased FC of the left amygdala with left sgACC and PCC, relative to controls. In addition, non-euthymic BD patients showed distinctive decrease in FC between right amygdala and sgACC, whereas euthymic patients showed lower FC between PCC and sgACC. Euthymic patients also displayed increased FC between sgACC and right VLPFC. The sgACC–PCC and sgACC–left amygdala connections were modulated by rumination tendency in non-euthymic patients, whereas the sgACC-VLPFC connection was modulated by both the current mood and tendency to ruminate.ConclusionsOur results suggest that sgACC-amygdala coupling is critically affected during mood episodes, and that FC of sgACC play a pivotal role in mood normalization through its interactions with the VLPFC and PCC. However, these preliminary findings require replication with larger samples of patients.

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Chemin Lin ◽  
Maria Ly ◽  
Helmet T. Karim ◽  
Wenjing Wei ◽  
Beth E. Snitz ◽  
...  

Abstract Background Pathological processes contributing to Alzheimer’s disease begin decades prior to the onset of clinical symptoms. There is significant variation in cognitive changes in the presence of pathology, functional connectivity may be a marker of compensation to amyloid; however, this is not well understood. Methods We recruited 64 cognitively normal older adults who underwent neuropsychological testing and biannual magnetic resonance imaging (MRI), amyloid imaging with Pittsburgh compound B (PiB)-PET, and glucose metabolism (FDG)-PET imaging for up to 6 years. Resting-state MRI was used to estimate connectivity of seven canonical neural networks using template-based rotation. Using voxel-wise paired t-tests, we identified neural networks that displayed significant changes in connectivity across time. We investigated associations among amyloid and longitudinal changes in connectivity and cognitive function by domains. Results Left middle frontal gyrus connectivity within the memory encoding network increased over time, but the rate of change was lower with greater amyloid. This was no longer significant in an analysis where we limited the sample to only those with two time points. We found limited decline in cognitive domains overall. Greater functional connectivity was associated with better attention/processing speed and executive function (independent of time) in those with lower amyloid but was associated with worse function with greater amyloid. Conclusions Increased functional connectivity serves to preserve cognitive function in normal aging and may fail in the presence of pathology consistent with compensatory models.


2020 ◽  
Vol 13 ◽  
pp. 100276
Author(s):  
Padideh Nasseri ◽  
Alexandra Ycaza Herrera ◽  
Katherine Gillette ◽  
Sophia Faude ◽  
Jessica D. White ◽  
...  

2018 ◽  
Vol 43 (5) ◽  
pp. 298-316 ◽  
Author(s):  
Sabrina K. Syan ◽  
Mara Smith ◽  
Benicio N. Frey ◽  
Raheem Remtulla ◽  
Flavio Kapczinski ◽  
...  

2017 ◽  
Vol 52 (11) ◽  
pp. 1075-1083 ◽  
Author(s):  
Luciano Minuzzi ◽  
Sabrina K Syan ◽  
Mara Smith ◽  
Alexander Hall ◽  
Geoffrey BC Hall ◽  
...  

Objective: Current evidence from neuroimaging data suggests possible dysfunction of the fronto-striatal-limbic circuits in individuals with bipolar disorder. Somatosensory cortical function has been implicated in emotional recognition, risk-taking and affective responses through sensory modalities. This study investigates anatomy and function of the somatosensory cortex in euthymic bipolar women. Methods: In total, 68 right-handed euthymic women (bipolar disorder = 32 and healthy controls = 36) between 16 and 45 years of age underwent high-resolution anatomical and functional magnetic resonance imaging during the mid-follicular menstrual phase. The somatosensory cortex was used as a seed region for resting-state functional connectivity analysis. Voxel-based morphometry was used to evaluate somatosensory cortical gray matter volume between groups. Results: We found increased resting-state functional connectivity between the somatosensory cortex and insular cortex, inferior prefrontal gyrus and frontal orbital cortex in euthymic bipolar disorder subjects compared to healthy controls. Voxel-based morphometry analysis showed decreased gray matter in the left somatosensory cortex in the bipolar disorder group. Whole-brain voxel-based morphometry analysis controlled by age did not reveal any additional significant difference between groups. Conclusion: This study is the first to date to evaluate anatomy and function of the somatosensory cortex in a well-characterized sample of euthymic bipolar disorder females. Anatomical and functional changes in the somatosensory cortex in this population might contribute to the pathophysiology of bipolar disorder.


2021 ◽  
Vol 46 (5) ◽  
pp. E559-E567
Author(s):  
Alysha A. Sultan ◽  
Megan A. Hird ◽  
Mikaela K. Dimick ◽  
Bradley J. MacIntosh ◽  
Benjamin I. Goldstein

Sign in / Sign up

Export Citation Format

Share Document