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      Regional Dynamics of the Resting Brain in Amyotrophic Lateral Sclerosis Using Fractional Amplitude of Low-Frequency Fluctuations and Regional Homogeneity Analyses

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          Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI.

          In children with attention deficit hyperactivity disorder (ADHD), functional neuroimaging studies have revealed abnormalities in various brain regions, including prefrontal-striatal circuit, cerebellum, and brainstem. In the current study, we used a new marker of functional magnetic resonance imaging (fMRI), amplitude of low-frequency (0.01-0.08Hz) fluctuation (ALFF) to investigate the baseline brain function of this disorder. Thirteen boys with ADHD (13.0+/-1.4 years) were examined by resting-state fMRI and compared with age-matched controls. As a result, we found that patients with ADHD had decreased ALFF in the right inferior frontal cortex, [corrected] and bilateral cerebellum and the vermis as well as increased ALFF in the right anterior cingulated cortex, left sensorimotor cortex, and bilateral brainstem. This resting-state fMRI study suggests that the changed spontaneous neuronal activity of these regions may be implicated in the underlying pathophysiology in children with ADHD.
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            Changes in cognition and behaviour in amyotrophic lateral sclerosis: nature of impairment and implications for assessment.

            Increased awareness of cognitive and behavioural change in amyotrophic lateral sclerosis has been driven by various clinic-based and population-based studies. A frontotemporal syndrome occurs in a substantial proportion of patients, a subgroup of whom present with frontotemporal dementia. Deficits are characterised by executive and working-memory impairments, extending to changes in language and social cognition. Behaviour and social cognition abnormalities are closely similar to those reported in behavioural variant frontotemporal dementia, implying a clinical spectrum linking amyotrophic lateral sclerosis and frontotemporal dementia. Cognitive impairment should be considered in clinical management, but few specialist assessment resources are available, and thus the cognitive status of most patients is unknown. Standard assessment procedures are not appropriate to detect dysfunction due to progressive physical disability; techniques that better measure the problems encountered by this group of patients are needed to further establish disease effects. Screening instruments are needed that are validated specifically for amyotrophic lateral sclerosis, encompass the heterogeneity of impairment, and accommodate physical disability. Copyright © 2013 Elsevier Ltd. All rights reserved.
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              Altered spontaneous activity in Alzheimer's disease and mild cognitive impairment revealed by Regional Homogeneity.

              Alzheimer's disease (AD), the most prevalent cause of dementia in the elderly, is characterized by progressive cognitive and intellectual deficits. Most patients with mild cognitive impairment (MCI) are thought to be in a very early stage of AD. Resting-state functional magnetic resonance imaging reflects spontaneous brain activities and/or the endogenous/background neurophysiological process of the human brain. Regional Homogeneity (ReHo) can provide a fast method for mapping regional activity across the whole brain. Little has been previously published about where or how spontaneous activity differs between MCI and AD, although many previous fMRI studies have shown that the activity pattern is altered in MCI/AD. In the present study, we first used the ReHo method to explore differences in regional spontaneous activities throughout the whole brain between normal controls (NC) and people with MCI and with AD. A one-way ANOVA was performed to determine the regions in which the ReHo differs between the three groups, and then a post hoc analysis was performed to evaluate differences in the pattern among the three groups. Finally a correlation analysis was done between the ReHo index of these regions and clinical variables in order to evaluate the relationship between ReHo and cognitive measures in the AD and MCI groups. An exploratory classification analysis also demonstrated that ReHo measures were able to correctly separate subjects in 71.4% of the cases. Altered brain spontaneous activations were found in the medial prefrontal cortex, the bilateral posterior cingulate gyrus/precuneus and the left inferior parietal lobule (IPL) in both MCI and AD. In MCI, the ReHo index in the left IPL was higher than that of the NC, which could indicate the presence of a compensatory mechanism in MCI. More obviously, the correlation analysis indicated that the lower the memory and other cognitive abilities, the lower the ReHo in patients with MCI and AD. Combining our findings with the results in earlier studies, we propose that the spontaneous activity pattern in the resting state could potentially be used as a clinical marker for MCI/AD. Copyright © 2011 Elsevier Inc. All rights reserved.
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                Author and article information

                Journal
                Brain Connectivity
                Brain Connectivity
                Mary Ann Liebert Inc
                2158-0014
                2158-0022
                May 2019
                May 2019
                : 9
                : 4
                : 356-364
                Affiliations
                [1 ]Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, Santo André, Brazil.
                [2 ]Department of Medicine, Norwich Medical School, University of East Anglia, Norwich, United Kingdom.
                [3 ]Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
                [4 ]Department of Internal Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
                [5 ]Norfolk and Suffolk NHS Foundation Trust, Norwich, United Kingdom.
                Article
                10.1089/brain.2019.0663
                30793923
                337b3b11-f169-41c7-bf27-803e9c85402e
                © 2019

                https://www.liebertpub.com/nv/resources-tools/text-and-data-mining-policy/121/

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