The relationship between voxel-based metrics of resting state functional connectivity and cognitive performance in cognitively healthy elderly adults

2018 ◽  
Vol 12 (6) ◽  
pp. 1742-1758
Author(s):  
Haobo Zhang ◽  
Perminder S. Sachdev ◽  
Anbupalam Thalamuthu ◽  
Yong He ◽  
Mingrui Xia ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Cognitive Performance ◽  
Resting State ◽  
Elderly Adults ◽  
Resting State Functional Connectivity ◽  
Healthy Elderly ◽  
The Relationship

scholarly journals Resting-state functional connectivity, cortical GABA and neuroactive steroids in peripartum and peripartum depressed women: a functional magnetic imaging and resonance study

2018 ◽  
Author(s):  
Kristina M. Deligiannidis ◽  
Christina L. Fales ◽  
Aimee R. Kroll-Desrosiers ◽  
Scott A. Shaffer ◽  
Vanessa Villamarin ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Neuroactive Steroids ◽  
Anterior Cingulate ◽  
Resonance Spectroscopy ◽  
Resting State Functional Connectivity ◽  
Magnetic Imaging ◽  
Temporal Pole ◽  
The Right ◽  
The Relationship

ABSTRACTPostpartum depression (PPD) is associated with abnormalities in resting-state functional connectivity (RSFC) but the underlying neurochemistry is unclear. We hypothesized that peripartum GABAergic neuroactive steroids (NAS) are related to cortical GABA concentrations and RSFC in PPD as compared to healthy comparison women (HCW). To test this, we measured RSFC with fMRI and GABA+/Creatine (Cr) concentrations with proton magnetic resonance spectroscopy (1H MRS) in the pregenual anterior cingulate (pgACC) and occipital cortices (OCC) and quantified peripartum plasma NAS. We examined between-group differences in RSFC and the relationship between cortical GABA+/Cr concentrations with RSFC. We investigated the relationship between NAS, RSFC and cortical GABA+/Cr concentrations. Within the default mode network (DMN) an area of the dorsomedial prefrontal cortex (DMPFC) had greater connectivity with the rest of the DMN in PPD (peak voxel: MNI coordinates (2, 58, 32), p=0.002) and was correlated to depression scores (peak HAM-D17 voxel: MNI coordinates (0, 60, 34), p=0.008). pgACC GABA+/Cr correlated positively with DMPFC RSFC in a region spanning the right anterior/posterior insula and right temporal pole (r=+0.661, p=0.000). OCC GABA+/Cr correlated positively with regions spanning both amygdalae (right amygdala: r=+0.522, p=0.000; left amygdala: r=+0.651, p=0.000) as well as superior parietal areas. Plasma allopregnanolone was higher in PPD (p=0.03) and positively correlated with intra DMPFC connectivity (r=+0.548, p=0.000) but not GABA+/Cr. These results provide initial evidence that PPD is associated with altered DMN connectivity; cortical GABA+/Cr concentrations are associated with postpartum RSFC and allopregnanolone is associated with postpartum intra-DMPFC connectivity.

scholarly journals Brain Connectivity Tracks Effects of Chemotherapy Separately from Behavioral Measures

2018 ◽  
Author(s):  
Omid Kardan ◽  
Mary K. Askren ◽  
Misook Jung ◽  
Scott Peltier ◽  
Bratislav Misic ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Cognitive Performance ◽  
Resting State ◽  
Brain Connectivity ◽  
Brain Regions ◽  
Self Report ◽  
Breast Cancer Patients ◽  
Resting State Functional Connectivity ◽  
Behavioral Measures ◽  
Cognitive Health

AbstractSeveral studies in cancer research have suggested that cognitive dysfunction following chemotherapy, referred to in lay terms as “chemobrain”, is a serious problem. At present, the changes in integrative brain function that underlie such dysfunction remains poorly understood. Recent developments in neuroimaging suggest that patterns of functional connectivity can provide a broadly applicable neuromarker of cognitive performance and other psychometric measures. The current study used multivariate analysis methods to identify patterns of disruption in resting state functional connectivity of the brain due to chemotherapy and the degree to which the disruptions can be linked to behavioral measures of distress and cognitive performance. Sixty two women (22 healthy control, 18 patients treated with adjuvant chemotherapy, and 22 treated without chemotherapy) were evaluated with neurocognitive measures followed by self-report questionnaires and open eyes resting-state fMRI scanning at three time points: diagnosis (M0, pre-adjuvant treatment), at least 1 month (M1), and 7 months (M7) after treatment. The results indicated deficits in cognitive health of breast cancer patients immediately after chemotherapy that improved over time. This psychological trajectory was paralleled by a disruption and later recovery of resting-state functional connectivity, mostly in the parietal and frontal brain regions. The functional connectivity alteration pattern seems to be a separable treatment symptom from the decreased cognitive health. More targeted support for patients should be developed to ameliorate these multi-faceted side effects of chemotherapy treatment on neural functioning and cognitive health.

Resting-State Cortical Connectivity Underlying Cognitive-Motor Interactions in Gait and Postural Tasks in Young Adults

Neurology ◽  
2021 ◽  
Vol 98 (1 Supplement 1) ◽  
pp. S3.2-S3
Author(s):  
Nathan Morelli ◽  
Nathan Johnson ◽  
Kimberly Kaiser ◽  
Richard Andreatta ◽  
Nicholas Heebner ◽  
...  
Keyword(s):  
Young Adults ◽  
Functional Connectivity ◽  
Postural Control ◽  
Cognitive Performance ◽  
Dual Task ◽  
Resting State ◽  
Gait Speed ◽  
Network Connectivity ◽  
The Relationship

ObjectiveThe purpose of this study is to determine the relationship between intra- and internetwork connectivity and DTC of postural, gait, and cognitive performance in healthy, young adults.BackgroundDual-task (DT) deficits persist after return to activity in those recovering from a sports related concussion. However, little is known about the relationship of cortical network function to DT capacity. Current evidence regarding the relationship between network connectivity and dual-task balance and gait performance is limited by focusing on older adults and those with cognitive impairments, using a condensed set of task demands, and neglecting the role of connectivity in the ability to adapt to minimize DT cost (DTC).Design/MethodsTwelve adults (7 females; age: 23.41 ± 2.74 years; height: 1.73 ± 0.10 m; weight: 72.66 ± 11.25 kg) volunteered for this study. Participants completed resting-state functional magnetic resonance imaging, as well as single and DT variants of the Concussion Balance Test, Sensory Organization Test, and gait. Functional connectivity within and between the default mode (DMN), salience (SAL), and sensorimotor (SMN) networks were calculated for all subjects. Pearson's correlations were used to assess the association of connectivity to balance and gait speed DTC.ResultsInter-network connectivity between to DMN to the SAL and SMN demonstrated moderate to strong association to DTC of gait speed and postural control during tasks which perturbed sensory environments (r = −0.59 to 0.94, p < 0.05). There was no relationship between connectivity and DTC of cognitive performance during DT (r = −0.50 to 0.54, p > 0.05).ConclusionsOur findings highlight the role of the SAL, SMN, and DMN in cognitive-motor interactions during gait and postural control. Furthermore, functional connectivity underlying DT gait and static postural control performance express inverse relationships, suggesting task-dependent differences in system level processing.

[IC-P-053]: EARLY ALTERATIONS IN RESTING-STATE FUNCTIONAL CONNECTIVITY IS ASSOCIATED WITH AMYLOID PATHOLOGY IN COGNITIVELY HEALTHY ELDERLY MONOZYGOTIC TWINS

2017 ◽  
Vol 13 (7S_Part_1) ◽  
pp. P43-P44
Author(s):  
Anouk den Braber ◽  
Naomi Prent ◽  
Mara ten Kate ◽  
Elles Konijnenberg ◽  
Frederik Barkhof ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Monozygotic Twins ◽  
Resting State Functional Connectivity ◽  
Amyloid Pathology ◽  
Healthy Elderly

scholarly journals A transdiagnostic investigation of amygdala-vmPFC resting state functional connectivity and emotional distress in daily lives

2018 ◽  
Author(s):  
◽  
Anne M. Merrill
Keyword(s):  
Functional Connectivity ◽  
Negative Affect ◽  
Emotional Distress ◽  
Resting State ◽  
Resting State Functional Connectivity ◽  
Daily Lives ◽  
Behavioral Dysregulation ◽  
Affective Instability ◽  
And Behaviors ◽  
The Relationship

Mood disorders, anxiety disorders and borderline personality disorder overlap in symptom criteria, are highly comorbid with one another, and group together in factor models of psychopathology (Kotov et al., 2011). These disorders of emotional distress are characterized by increased frequency and duration of intense negative affect, large abrupt shifts in affect (i.e., affective instability), and behavioral dysregulation (Selby, Anestis, Bender, and Joiner, 2009). Functional connectivity between the amygdala and the ventromedial prefrontal cortex (vmPFC) has been proposed as a possible endophenotype for emotion dysregulation. However, the relationship between amygdala-vmPFC connectivity and transdiagnostic symptoms of emotional distress is largely unknown. The present study used two powerful methodologies, fMRI and Ecological Momentary Assessment, to examine the relationship between amygdala-vmPFC resting state functional connectivity (rs-FC) and dysregulated moods and behaviors in daily lives. Twenty-seven women in treatment for a disorder of emotional distress completed clinical interviews, self-report questionnaires on symptoms and emotion regulation, resting state scans, and two weeks of frequent surveys assessing moods and behaviors. Results found that amygdala-vmPFC rs-FC was (a) correlated with frequency of behavioral dysregulation, including drinking alcohol to cope with distress, binge eating, and impulsivity, and (b) differentially correlated with anxiety and depression, replicating the results of previous research (Burghy et al., 2012). Results also found that another emotion circuit, the dACC-amygdala, was associated with negative affect and affective instability. The current research found evidence for neural mechanisms related to emotional and behavioral dysregulation in daily lives of women with transdiagnostic disorders of emotional distress.

scholarly journals Overlapping but Asymmetrical Relationships Between Schizophrenia and Autism Revealed by Brain Connectivity

2020 ◽  
Vol 46 (5) ◽  
pp. 1210-1218 ◽  
Author(s):  
Yujiro Yoshihara ◽  
Giuseppe Lisi ◽  
Noriaki Yahata ◽  
Junya Fujino ◽  
Yukiko Matsumoto ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Autism Spectrum ◽  
Machine Learning Algorithms ◽  
Spectrum Disorder ◽  
University Hospital ◽  
First Episode ◽  
Resting State Functional Connectivity ◽  
Functional Connections ◽  
The Relationship

Abstract Although the relationship between schizophrenia spectrum disorder (SSD) and autism spectrum disorder (ASD) has long been debated, it has not yet been fully elucidated. The authors quantified and visualized the relationship between ASD and SSD using dual classifiers that discriminate patients from healthy controls (HCs) based on resting-state functional connectivity magnetic resonance imaging. To develop a reliable SSD classifier, sophisticated machine-learning algorithms that automatically selected SSD-specific functional connections were applied to Japanese datasets from Kyoto University Hospital (N = 170) including patients with chronic-stage SSD. The generalizability of the SSD classifier was tested by 2 independent validation cohorts, and 1 cohort including first-episode schizophrenia. The specificity of the SSD classifier was tested by 2 Japanese cohorts of ASD and major depressive disorder. The weighted linear summation of the classifier’s functional connections constituted the biological dimensions representing neural classification certainty for the disorders. Our previously developed ASD classifier was used as ASD dimension. Distributions of individuals with SSD, ASD, and HCs s were examined on the SSD and ASD biological dimensions. We found that the SSD and ASD populations exhibited overlapping but asymmetrical patterns in the 2 biological dimensions. That is, the SSD population showed increased classification certainty for the ASD dimension but not vice versa. Furthermore, the 2 dimensions were correlated within the ASD population but not the SSD population. In conclusion, using the 2 biological dimensions based on resting-state functional connectivity enabled us to discover the quantified relationships between SSD and ASD.

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