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      Using functional near‐infrared spectroscopy to measure prefrontal cortex activity during dual‐task walking and navigated walking: A feasibility study

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          Abstract

          Introduction

          While functional near‐infrared spectroscopy (fNIRS) can provide insight into motor‐cognitive deficits during ecologically valid gait conditions, the feasibility of using fNIRS during complex walking remains unknown. We tested the process and scientific feasibility of using an fNIRS device to measure cortical activity during complex walking tasks consisting of straight walking and navigated walking under single and dual‐task (DT) conditions.

          Methods

          Nineteen healthy people from 18 to 64 years (mean age: 45.7 years) participated in this study which consisted of three complex walking protocols: (i) straight walking, DT walking (walking while performing an auditory Stroop task) and single‐task auditory Stroop, (ii) straight and navigated walking, and (iii) navigated walking and navigated DT walking. A rest condition (standing still) was also included in each protocol. Process feasibility outcomes included evaluation of the test procedures and participant experience during and after each protocol. Scientific feasibility outcomes included signal quality measures, and the ability to measure changes in concentration of deoxygenated and oxygenated hemoglobin in the prefrontal cortex.

          Results

          All participants were able to complete the three protocols with most agreeing that the equipment was comfortable (57.9%) and that the testing duration was adequate (73.7%). Most participants did not feel tired (94.7%) with some experiencing pain (42.1%) during the protocols. The signal qualities were high for each protocol. Compared to the rest condition, there was an increase in oxygenated hemoglobin in the prefrontal cortex when performing dual‐task walking and navigation.

          Conclusion

          We showed that our experimental setup was feasible for assessing activity in the prefrontal cortex with fNIRS during complex walking. The experimental setup was deemed acceptable and practicable. Signal quality was good during complex walking conditions and findings suggest that the different tasks elicit a differential brain activity, supporting scientific feasibility.

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          Most cited references38

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          The hospital anxiety and depression scale.

          A self-assessment scale has been developed and found to be a reliable instrument for detecting states of depression and anxiety in the setting of an hospital medical outpatient clinic. The anxiety and depressive subscales are also valid measures of severity of the emotional disorder. It is suggested that the introduction of the scales into general hospital practice would facilitate the large task of detection and management of emotional disorder in patients under investigation and treatment in medical and surgical departments.
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            MEG and EEG data analysis with MNE-Python

            Magnetoencephalography and electroencephalography (M/EEG) measure the weak electromagnetic signals generated by neuronal activity in the brain. Using these signals to characterize and locate neural activation in the brain is a challenge that requires expertise in physics, signal processing, statistics, and numerical methods. As part of the MNE software suite, MNE-Python is an open-source software package that addresses this challenge by providing state-of-the-art algorithms implemented in Python that cover multiple methods of data preprocessing, source localization, statistical analysis, and estimation of functional connectivity between distributed brain regions. All algorithms and utility functions are implemented in a consistent manner with well-documented interfaces, enabling users to create M/EEG data analysis pipelines by writing Python scripts. Moreover, MNE-Python is tightly integrated with the core Python libraries for scientific comptutation (NumPy, SciPy) and visualization (matplotlib and Mayavi), as well as the greater neuroimaging ecosystem in Python via the Nibabel package. The code is provided under the new BSD license allowing code reuse, even in commercial products. Although MNE-Python has only been under heavy development for a couple of years, it has rapidly evolved with expanded analysis capabilities and pedagogical tutorials because multiple labs have collaborated during code development to help share best practices. MNE-Python also gives easy access to preprocessed datasets, helping users to get started quickly and facilitating reproducibility of methods by other researchers. Full documentation, including dozens of examples, is available at http://martinos.org/mne.
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              The role of executive function and attention in gait.

              Until recently, gait was generally viewed as a largely automated motor task, requiring minimal higher-level cognitive input. Increasing evidence, however, links alterations in executive function and attention to gait disturbances. This review discusses the role of executive function and attention in healthy walking and gait disorders while summarizing the relevant, recent literature. We describe the variety of gait disorders that may be associated with different aspects of executive function, and discuss the changes occurring in executive function as a result of aging and disease as well the potential impact of these changes on gait. The attentional demands of gait are often tested using dual tasking methodologies. Relevant studies in healthy adults and patients are presented, as are the possible mechanisms responsible for the deterioration of gait during dual tasking. Lastly, we suggest how assessments of executive function and attention could be applied in the clinical setting as part of the process of identifying and understanding gait disorders and fall risk. 2007 Movement Disorder Society
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                Author and article information

                Contributors
                alexander.kvist@ki.se
                Journal
                Brain Behav
                Brain Behav
                10.1002/(ISSN)2157-9032
                BRB3
                Brain and Behavior
                John Wiley and Sons Inc. (Hoboken )
                2162-3279
                14 March 2023
                April 2023
                : 13
                : 4 ( doiID: 10.1002/brb3.v13.4 )
                : e2948
                Affiliations
                [ 1 ] Department of Neurobiology, Care sciences and Society, Division of Physiotherapy Karolinska Institutet Stockholm Sweden
                [ 2 ] Faculty of Community and Health Sciences University of Western Cape Cape Town South Africa
                [ 3 ] Women's Health and Allied Health Professionals Theme, Medical Unit Occupational Therapy & Physiotherapy Karolinska University Hospital Stockholm Sweden
                [ 4 ] Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics Karolinska Institutet Stockholm Sweden
                [ 5 ] Women's Health and Allied Health Professionals Theme, Medical Unit Medical Psychology Karolinska University Hospital Stockholm Sweden
                Author notes
                [*] [* ] Correspondence

                Alexander Kvist, Department of Neurobiology, Care sciences and Society, Division of Physiotherapy, Karolinska Institutet, Stockholm, Sweden.

                Email: alexander.kvist@ 123456ki.se

                Author information
                https://orcid.org/0000-0001-7431-2144
                Article
                BRB32948
                10.1002/brb3.2948
                10097069
                36917560
                ad94e577-8966-48ff-82b6-ab8a662f492d
                © 2023 The Authors. Brain and Behavior published by Wiley Periodicals LLC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 15 February 2023
                : 06 September 2022
                : 17 February 2023
                Page count
                Figures: 6, Tables: 2, Pages: 10, Words: 6065
                Funding
                Funded by: Doctoral School in Health Science, Karolinska Institutet
                Funded by: Swedish state under the agreement between the Swedish government and the county councils, the ALF‐agreement
                Funded by: Center for Innovative Medicine, Karolinska Institutet
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                April 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.7 mode:remove_FC converted:12.04.2023

                Neurosciences
                dual‐task walking,fnirs,navigation,walking
                Neurosciences
                dual‐task walking, fnirs, navigation, walking

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