scholarly journals The Relationship Between Resting State Network Connectivity and Individual Differences in Executive Functions

2018 ◽  
Vol 9 ◽  
Author(s):  
Andrew E. Reineberg ◽  
Daniel E. Gustavson ◽  
Chelsie Benca ◽  
Marie T. Banich ◽  
Naomi P. Friedman
Keyword(s):  
Individual Differences ◽  
Executive Functions ◽  
Resting State ◽  
Network Connectivity ◽  
Resting State Network ◽  
The Relationship

scholarly journals Cognitive impairment and resting-state network connectivity in Parkinson's disease

2014 ◽  
Vol 36 (1) ◽  
pp. 199-212 ◽  
Author(s):  
Hugo-Cesar Baggio ◽  
Bàrbara Segura ◽  
Roser Sala-Llonch ◽  
Maria-José Marti ◽  
Francesc Valldeoriola ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Resting State ◽  
Network Connectivity ◽  
Resting State Network

Abstract W P29: Tissue Plasminogen Activator Mediated Reperfusion, and Subsequent Improvement in Resting State Connectivity Correlates with Functional Outcome in Acute Ischemic Stroke Patients

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Souvik Sen ◽  
Johann Fridriksson ◽  
Taylor Hanayik ◽  
Christopher Rorden ◽  
Isabel Hubbard ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Functional Connectivity ◽  
Functional Outcome ◽  
Resting State ◽  
Network Connectivity ◽  
Stroke Patients ◽  
Post Stroke ◽  
Resting State Network ◽  
Tissue Plasminogen

Background: Intravenous Tissue Plasminogen Activator (TPA) is the only FDA approved medical therapy for acute ischemic stroke (AIS). Prior study suggests that early recanalization is associated with better stroke outcome. Our aim was to correlate task-negative and task-positive (TN/TP) resting state network activity with tissue perfusion and functional outcome, in stroke patients who received TPA. Method: AIS patients were consented and underwent NIH stroke scale (NIHSS) assessment and magnetic resonance imaging (MRI) scans during TPA infusion (baseline) and six hours post stroke. The MRI sequences include contrast-enhanced perfusion weighted image (PWI) and resting state Blood Oxygen Level-Dependent or BOLD (RSB) images acquired using a Siemens Treo 3T MRI scanner. Additionally, the RSB scan and the NIHSS were obtained at a 30-day follow up visit. Results: Fourteen patients (mean age ± SD=63 ±14, 50% male, 50% white, 43% black and 7% others) who qualified for TPA completed the study at baseline and 6 hours post stroke. Of these, 6 patients had valid follow up data at 30 days. Three patients without cerebral ischemia were excluded. A paired samples t-test comparing baseline and 6h post stroke showed a significantly improved TP network t(10)= -4.24 p< 0.05. The resting network connectivity improved from 6 hours post stroke to 30-days follow up, t(5)= -5.35 p< 0.01. Similarly, NIHSS, at 6h post stroke t(10)= 3.62 p< 0.01 and at 30-days follow up t(5)= -3.4 p< 0.01 were significantly better than the NIHSS at baseline. The 6-hours post-stroke perfusion correlated with the resting network connectivity in both the damaged (r=-0.56 p= 0.07) and intact hemispheres (r= -0.57 p= 0.06). Differences in functional connectivity and NIHSS scores from baseline to 6 h were positively correlated (r= 0.56 p=0.07). Conclusion: In this pilot study we found that TPA led to changes in MRI based resting state networks and associated functional outcome. Correlations were found between perfusion, functional connectivity and NIHSS. This suggests that the improvement of resting state network means improved efficiency of brain activity indicated by functional outcome and may be a potential predictive MRI biomarker for TPA response. A larger study is needed to verify this finding.

scholarly journals Altered resting-state network connectivity in stroke patients with and without apraxia of speech

2015 ◽  
Vol 8 ◽  
pp. 429-439 ◽  
Author(s):  
Anneliese B. New ◽  
Donald A. Robin ◽  
Amy L. Parkinson ◽  
Joseph R. Duffy ◽  
Malcom R. McNeil ◽  
...  
Keyword(s):  
Resting State ◽  
Network Connectivity ◽  
Apraxia Of Speech ◽  
Stroke Patients ◽  
Resting State Network

scholarly journals Salience Network Connectivity Modulates Skin Conductance Responses in Predicting Arousal Experience

2017 ◽  
Vol 29 (5) ◽  
pp. 827-836 ◽  
Author(s):  
Chenjie Xia ◽  
Alexandra Touroutoglou ◽  
Karen S. Quigley ◽  
Lisa Feldman Barrett ◽  
Bradford C. Dickerson
Keyword(s):  
Individual Differences ◽  
Skin Conductance ◽  
Resting State ◽  
Subjective Experience ◽  
Network Connectivity ◽  
Resting State Fmri ◽  
Salience Network ◽  
Skin Conductance Responses ◽  
Additional Variance ◽  
Connectivity Strength

Individual differences in arousal experience have been linked to differences in resting-state salience network connectivity strength. In this study, we investigated how adding task-related skin conductance responses (SCR), a measure of sympathetic autonomic nervous system activity, can predict additional variance in arousal experience. Thirty-nine young adults rated their subjective experience of arousal to emotionally evocative images while SCRs were measured. They also underwent a separate resting-state fMRI scan. Greater SCR reactivity (an increased number of task-related SCRs) to emotional images and stronger intrinsic salience network connectivity independently predicted more intense experiences of arousal. Salience network connectivity further moderated the effect of SCR reactivity: In individuals with weak salience network connectivity, SCR reactivity more significantly predicted arousal experience, whereas in those with strong salience network connectivity, SCR reactivity played little role in predicting arousal experience. This interaction illustrates the degeneracy in neural mechanisms driving individual differences in arousal experience and highlights the intricate interplay between connectivity in central visceromotor neural circuitry and peripherally expressed autonomic responses in shaping arousal experience.

scholarly journals Effects of dopamine agonist treatment on resting-state network connectivity in Parkinson’s disease

2020 ◽  
Author(s):  
David M. Cole ◽  
Bahram Mohammadi ◽  
Maria Milenkova ◽  
Katja Kollewe ◽  
Christoph Schrader ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Decision Making ◽  
Parkinson's Disease ◽  
Basal Ganglia ◽  
Dopamine Agonist ◽  
Resting State ◽  
Large Scale ◽  
Network Connectivity ◽  
Resting State Network ◽  
Large Scale Networks

ABSTRACTDopamine agonist (DA) medications commonly used to treat, or ‘normalise’, motor symptoms of Parkinson’s disease (PD) may lead to cognitive-neuropsychiatric side effects, such as increased impulsivity in decision-making. Subject-dependent variation in the neural response to dopamine modulation within cortico-basal ganglia circuitry is thought to play a key role in these latter, non-motor DA effects. This neuroimaging study combined resting-state functional magnetic resonance imaging (fMRI) with DA modification in patients with idiopathic PD, investigating whether brain ‘resting-state network’ (RSN) functional connectivity metrics identify disease-relevant effects of dopamine on systems-level neural processing. By comparing patients both ‘On’ and ‘Off’ their DA medications with age-matched, un-medicated healthy control subjects (HCs), we identified multiple non-normalising DA effects on frontal and basal ganglia RSN cortico-subcortical connectivity patterns in PD. Only a single isolated, potentially ‘normalising’, DA effect on RSN connectivity in sensori-motor systems was observed, within cerebro-cerebellar neurocircuitry. Impulsivity in reward-based decision-making was positively correlated with ventral striatal connectivity within basal ganglia circuitry in HCs, but not in PD patients. Overall, we provide brain systems-level evidence for anomalous DA effects in PD on large-scale networks supporting cognition and motivated behaviour. Moreover, findings suggest that dysfunctional striatal and basal ganglia signalling patterns in PD are compensated for by increased recruitment of other cortico-subcortical and cerebro-cerebellar systems.

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.

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