scholarly journals RESTING STATE NETWORK AND MINDFULNESS IN MOTION PLUS DASH DIET IN AFRICAN AMERICANS WITH MILD COGNITIVE IMPAIRMENT

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S112-S113
Author(s):  
Kathy D Wright ◽  
Klatt Maryanna ◽  
Ingrid Adams ◽  
Cady Block ◽  
Todd Monroe ◽  
...  

Abstract The resting state network (RSN) is a target of interest in neurodegenerative research, with evidence linking functional connectivity of its constituent nodes with mild cognitive impairment and dementia. Given the emerging linkage between Alzheimer’s disease and related dementia disorders (ADRD) and hypertension (HTN), non-pharmacological interventions that promote RSN connectivity and blood pressure are needed. The purpose of this pilot study protocol is to deliver a novel intervention, combining mindfulness and the Dietary Approaches to Stop Hypertension (DASH), to improve RSN connectivity and blood pressure in African American (AA) older adults with MCI and HTN. Thirty-six AAs aged 65 and older will be randomized to mindfulness plus DASH, attention control (non-health related education), or a control group. The Mindfulness in Motion (MIM) plus DASH intervention is delivered in 8-weekly group sessions of 6-10 participants. MIM includes mindful movements from chair/standing, breathing exercises and guided meditation. The DASH intervention uses a critical thinking approach that involves problem solving, goal setting, reflection, and developing self-efficacy. Both components are culturally tailored for older African Americans. Cognitive examination, diet and mindfulness practice surveys, blood pressure, and functional magnetic resonance imaging (RSN) data are collected at baseline and 3 months. Forty-eight AAs were screened and 17 were enrolled (women= 13; men= 4) to date. Of the 17 enrolled, 7 were eligible for neuroimaging. Findings from this pilot study may provide the preliminary evidence that MIM plus DASH may improve RSN connectivity and blood pressure in this population at risk for ADRD.

2009 ◽  
Vol 5 (4S_Part_1) ◽  
pp. P27-P28
Author(s):  
Katell Mevel ◽  
Brigitte Landeau ◽  
Florence Mézenge ◽  
Nicolas Villain ◽  
Marine Fouquet ◽  
...  

2009 ◽  
Vol 5 (4S_Part_7) ◽  
pp. P200-P201
Author(s):  
Katell Mevel ◽  
Brigitte Landeau ◽  
Florence Mézenge ◽  
Nicolas Villain ◽  
Marine Fouquet ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Zhilian Zhao ◽  
Jie Lu ◽  
Xiuqin Jia ◽  
Wang Chao ◽  
Ying Han ◽  
...  

Mild cognitive impairment (MCI) refers to a transitional state between normal aging and dementia and is a syndrome with cognitive decline greater than expected for an individual’s age and educational level. As a subtype of MCI, amnestic mild cognitive impairment (aMCI) most often leads to Alzheimer’s disease. This study aims to elucidate the altered brain activation in patients with aMCI using resting-state functional magnetic resonance. We observed Frequency-dependent changes in the amplitude of low-frequency fluctuations in aMCI patients (n=20), and normal subjects (n=18). At the same time, we took gray matter volume as a covariate. We found that aMCI patients had decreased amplitude of low-frequency fluctuation signal in left superior temporal gyrus, right middle temporal gyrus, right inferior parietal lobe, and right postcentral gyrus compared to the control group. Specially, aMCI patients showed increased signal in left superior and middle frontal gyrus. Our results suggested that increased activation in frontal lobe of aMCI patients may indicate effective recruitment of compensatory brain resources. This finding and interpretation may lead to the better understanding of cognitive changes of aMCI.


2013 ◽  
Vol 9 ◽  
pp. P594-P595
Author(s):  
Jose Pineda Pardo ◽  
Pilar Garcés ◽  
María Eugenia López ◽  
Pablo Cuesta ◽  
Sara Aurtenexte ◽  
...  

2018 ◽  
Vol 21 (3) ◽  
pp. 264-268 ◽  
Author(s):  
Frank Knoefel ◽  
Caroline Gaudet ◽  
Rocio López Zunini ◽  
Michael Breau ◽  
Lisa Sweet ◽  
...  

ObjectiveA pilot study to determine the feasibility of recruiting patients with MCI to test for cognitive interventions.MethodThirty patients with amnestic MCI were to be divided into two intervention arms and one control group. Participants went to local sites and completed brain training for one hour three times per week for nine weeks. Outcome measures were: recruitment, computer abilities, compliance, task performance, neuropsychological tests, and electroencephalography.ResultsAfter six months, only 20 participants had been recruited. Seventeen were allocated to one of the two intervention groups. Compliance was good and computer skills were not an obstacle. Participants improved their abilities in the modules, but there were no statistically significant changes on neuropsychological tests or EEG.ConclusionsRecruitment of MCI participants for extensive cognitive intervention is challenging, but achievable. This pilot study was not powered to detect clinical changes. Future trials should consider recruitment criteria, intervention duration, scheduling, and study location. 


2022 ◽  
Vol 12 (1) ◽  
pp. 103
Author(s):  
Boglarka Vekety ◽  
Alexander Logemann ◽  
Zsofia K. Takacs

This is the first pilot study with children that has assessed the effects of a brain–computer interface-assisted mindfulness program on neural mechanisms and associated cognitive performance. The participants were 31 children aged 9–10 years who were randomly assigned to either an eight-session mindfulness training with EEG-feedback or a passive control group. Mindfulness-related brain activity was measured during the training, while cognitive tests and resting-state brain activity were measured pre- and post-test. The within-group measurement of calm/focused brain states and mind-wandering revealed a significant linear change. Significant positive changes were detected in children’s inhibition, information processing, and resting-state brain activity (alpha, theta) compared to the control group. Elevated baseline alpha activity was associated with less reactivity in reaction time on a cognitive test. Our exploratory findings show some preliminary support for a potential executive function-enhancing effect of mindfulness supplemented with EEG-feedback, which may have some important implications for children’s self-regulated learning and academic achievement.


Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Na Li ◽  
Yu Mei Zhang ◽  
Yong Jun Wang

Background and aims: Recent studies demonstrated that a signal change of functional magnetic resonance imaging (fMRI) in certain brain areas during the resting state is a significant marker in patients with mild cognitive impairment (MCI). However, the research of resting-state fMRI (rs-fMRI) on leukoaraiosis (LA) associated MCI is scarce. The aim of this study was to investigate differences of the rs-fMRI default network between patients with LA-associated MCI and normal subjects, and provide functional imaging evidence of LA-associated MCI during early stages of the disease. Method: All subjects were outpatients or thier residents of the Department of Neurology of the Beijing Tiantan Hospital. They were divided into MCI group and control group according to their cognitive function assessing by the Hamilton Depression Scale, Clinical Dementia Rating (CDR), Mini Mental State Exam and Montreal Cognitive Assessment. Demographic information was recorded. Brain MRI characteristics were assessed using the Fazekas scale. The independent components of fMRI data were analyzed by fMRI tool box. The experimental data and confounding factors were analyzed by General Liner Model. Results: A total of 31 right-handed patients with LA-associated MCI and 27 right-handed healthy control subjects were included. The active areas participating in the resting state for LA-associated MCI group were mostly consistent with those of the control group. Compared with controls, the LA-associated MCI patients exhibited significantly lower blood oxygen level-dependent (BOLD) signals in the left anterior cingulate cortex (P=0.021) and right parahippocampal gyrus (P=0.032). Whereas higher BOLD signals during the resting state in LA-associated MCI patients were observed in the left caudate nucleus (P=0.015), right frontal lobe (P=0.004), superior temporal gyrus and inferior parietal gyrus (P=0.001), No significant difference was shown in the posterior cingulate cortex and precuneus (P=0.138). Conclusion: Our findings demonstrated that the discriminating functional activation in specific brain areas could be identified in patients with LA-associated MCI, which might be used as an useful neuroimaging evidence for the early recognition of these patients.


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