Less noise during dual-task walking in healthy young adults: an analysis of different gait variability components

Abstract Dual-task costs of gait (variability) parameters are frequently used to probe the grade of automaticity of walking. However, recent studies reported contradicting dual-task costs for different gait variability measures within the same cohorts. The effects of a dual-task on the gait pattern...
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Autor*in:	Hamacher, Daniel [verfasserIn] Koch, Monique Löwe, Susanna Zech, Astrid

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Gait TNC analysis Functional variability Covariation Noise Uncontrolled manifold

Anmerkung:	© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Übergeordnetes Werk:	Enthalten in: Experimental brain research - Berlin : Springer, 1966, 237(2019), 12 vom: 08. Okt., Seite 3185-3193
Übergeordnetes Werk:	volume:237 ; year:2019 ; number:12 ; day:08 ; month:10 ; pages:3185-3193

Links:	Volltext

DOI / URN:	10.1007/s00221-019-05664-2

Katalog-ID:	SPR002443511

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520			\|a Abstract Dual-task costs of gait (variability) parameters are frequently used to probe the grade of automaticity of walking. However, recent studies reported contradicting dual-task costs for different gait variability measures within the same cohorts. The effects of a dual-task on the gait pattern are, thus, not fully understood. The aim of the current study was to analyze the different gait variability components (‘Tolerance’, ‘Noise’, and ‘Covariation’) during dual-task walking compared to single-task walking. In an experimental study, 21 young and healthy adults (11 males, 10 females, age: 24 ± 3 years) were included. The participants completed three experimental conditions: (a) single-task walking, (b) dual-task walking (serial-seven subtractions), and (c) cognitive single task in sitting position. To analyze different gait variability components, we applied a method which distinguishes the three components: ‘Tolerance’, ‘Noise’, and ‘Covariation’ (TNC). To test for differences, we used the statistical parametric mapping method. Compared to single-task walking, the results depict lower gait variability of the result parameters during the dual-task condition at 0–15% (p = 0.010) and 94–100% (p = 0.040) of the stance phase and 0–63% (p < 0.001) during the swing phase. The decreased result parameter variability was due to less (sensorimotor) ‘Noise’ (stance: 2–100%, p < 0.001; swing: 2–59%, p < 0.001) during the dual-task walking condition. In further studies, the sources of the reduced unstructured (sensorimotor) noise in the dual-task condition should be analyzed to better understand the effect of a cognitive dual task on the gait pattern.
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700	1		\|a Zech, Astrid \|4 aut
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allfields	10.1007/s00221-019-05664-2 doi (DE-627)SPR002443511 (SPR)s00221-019-05664-2-e DE-627 ger DE-627 rakwb eng Hamacher, Daniel verfasserin (orcid)0000-0002-2296-4316 aut Less noise during dual-task walking in healthy young adults: an analysis of different gait variability components 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract Dual-task costs of gait (variability) parameters are frequently used to probe the grade of automaticity of walking. However, recent studies reported contradicting dual-task costs for different gait variability measures within the same cohorts. The effects of a dual-task on the gait pattern are, thus, not fully understood. The aim of the current study was to analyze the different gait variability components (‘Tolerance’, ‘Noise’, and ‘Covariation’) during dual-task walking compared to single-task walking. In an experimental study, 21 young and healthy adults (11 males, 10 females, age: 24 ± 3 years) were included. The participants completed three experimental conditions: (a) single-task walking, (b) dual-task walking (serial-seven subtractions), and (c) cognitive single task in sitting position. To analyze different gait variability components, we applied a method which distinguishes the three components: ‘Tolerance’, ‘Noise’, and ‘Covariation’ (TNC). To test for differences, we used the statistical parametric mapping method. Compared to single-task walking, the results depict lower gait variability of the result parameters during the dual-task condition at 0–15% (p = 0.010) and 94–100% (p = 0.040) of the stance phase and 0–63% (p < 0.001) during the swing phase. The decreased result parameter variability was due to less (sensorimotor) ‘Noise’ (stance: 2–100%, p < 0.001; swing: 2–59%, p < 0.001) during the dual-task walking condition. In further studies, the sources of the reduced unstructured (sensorimotor) noise in the dual-task condition should be analyzed to better understand the effect of a cognitive dual task on the gait pattern. Gait (dpeaa)DE-He213 TNC analysis (dpeaa)DE-He213 Functional variability (dpeaa)DE-He213 Covariation (dpeaa)DE-He213 Noise (dpeaa)DE-He213 Uncontrolled manifold (dpeaa)DE-He213 Koch, Monique aut Löwe, Susanna aut Zech, Astrid aut Enthalten in Experimental brain research Berlin : Springer, 1966 237(2019), 12 vom: 08. Okt., Seite 3185-3193 (DE-627)253723159 (DE-600)1459099-2 1432-1106 nnns volume:237 year:2019 number:12 day:08 month:10 pages:3185-3193 https://dx.doi.org/10.1007/s00221-019-05664-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 237 2019 12 08 10 3185-3193
spelling	10.1007/s00221-019-05664-2 doi (DE-627)SPR002443511 (SPR)s00221-019-05664-2-e DE-627 ger DE-627 rakwb eng Hamacher, Daniel verfasserin (orcid)0000-0002-2296-4316 aut Less noise during dual-task walking in healthy young adults: an analysis of different gait variability components 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract Dual-task costs of gait (variability) parameters are frequently used to probe the grade of automaticity of walking. However, recent studies reported contradicting dual-task costs for different gait variability measures within the same cohorts. The effects of a dual-task on the gait pattern are, thus, not fully understood. The aim of the current study was to analyze the different gait variability components (‘Tolerance’, ‘Noise’, and ‘Covariation’) during dual-task walking compared to single-task walking. In an experimental study, 21 young and healthy adults (11 males, 10 females, age: 24 ± 3 years) were included. The participants completed three experimental conditions: (a) single-task walking, (b) dual-task walking (serial-seven subtractions), and (c) cognitive single task in sitting position. To analyze different gait variability components, we applied a method which distinguishes the three components: ‘Tolerance’, ‘Noise’, and ‘Covariation’ (TNC). To test for differences, we used the statistical parametric mapping method. Compared to single-task walking, the results depict lower gait variability of the result parameters during the dual-task condition at 0–15% (p = 0.010) and 94–100% (p = 0.040) of the stance phase and 0–63% (p < 0.001) during the swing phase. The decreased result parameter variability was due to less (sensorimotor) ‘Noise’ (stance: 2–100%, p < 0.001; swing: 2–59%, p < 0.001) during the dual-task walking condition. In further studies, the sources of the reduced unstructured (sensorimotor) noise in the dual-task condition should be analyzed to better understand the effect of a cognitive dual task on the gait pattern. Gait (dpeaa)DE-He213 TNC analysis (dpeaa)DE-He213 Functional variability (dpeaa)DE-He213 Covariation (dpeaa)DE-He213 Noise (dpeaa)DE-He213 Uncontrolled manifold (dpeaa)DE-He213 Koch, Monique aut Löwe, Susanna aut Zech, Astrid aut Enthalten in Experimental brain research Berlin : Springer, 1966 237(2019), 12 vom: 08. Okt., Seite 3185-3193 (DE-627)253723159 (DE-600)1459099-2 1432-1106 nnns volume:237 year:2019 number:12 day:08 month:10 pages:3185-3193 https://dx.doi.org/10.1007/s00221-019-05664-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 237 2019 12 08 10 3185-3193
allfields_unstemmed	10.1007/s00221-019-05664-2 doi (DE-627)SPR002443511 (SPR)s00221-019-05664-2-e DE-627 ger DE-627 rakwb eng Hamacher, Daniel verfasserin (orcid)0000-0002-2296-4316 aut Less noise during dual-task walking in healthy young adults: an analysis of different gait variability components 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract Dual-task costs of gait (variability) parameters are frequently used to probe the grade of automaticity of walking. However, recent studies reported contradicting dual-task costs for different gait variability measures within the same cohorts. The effects of a dual-task on the gait pattern are, thus, not fully understood. The aim of the current study was to analyze the different gait variability components (‘Tolerance’, ‘Noise’, and ‘Covariation’) during dual-task walking compared to single-task walking. In an experimental study, 21 young and healthy adults (11 males, 10 females, age: 24 ± 3 years) were included. The participants completed three experimental conditions: (a) single-task walking, (b) dual-task walking (serial-seven subtractions), and (c) cognitive single task in sitting position. To analyze different gait variability components, we applied a method which distinguishes the three components: ‘Tolerance’, ‘Noise’, and ‘Covariation’ (TNC). To test for differences, we used the statistical parametric mapping method. Compared to single-task walking, the results depict lower gait variability of the result parameters during the dual-task condition at 0–15% (p = 0.010) and 94–100% (p = 0.040) of the stance phase and 0–63% (p < 0.001) during the swing phase. The decreased result parameter variability was due to less (sensorimotor) ‘Noise’ (stance: 2–100%, p < 0.001; swing: 2–59%, p < 0.001) during the dual-task walking condition. In further studies, the sources of the reduced unstructured (sensorimotor) noise in the dual-task condition should be analyzed to better understand the effect of a cognitive dual task on the gait pattern. Gait (dpeaa)DE-He213 TNC analysis (dpeaa)DE-He213 Functional variability (dpeaa)DE-He213 Covariation (dpeaa)DE-He213 Noise (dpeaa)DE-He213 Uncontrolled manifold (dpeaa)DE-He213 Koch, Monique aut Löwe, Susanna aut Zech, Astrid aut Enthalten in Experimental brain research Berlin : Springer, 1966 237(2019), 12 vom: 08. Okt., Seite 3185-3193 (DE-627)253723159 (DE-600)1459099-2 1432-1106 nnns volume:237 year:2019 number:12 day:08 month:10 pages:3185-3193 https://dx.doi.org/10.1007/s00221-019-05664-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 237 2019 12 08 10 3185-3193
allfieldsGer	10.1007/s00221-019-05664-2 doi (DE-627)SPR002443511 (SPR)s00221-019-05664-2-e DE-627 ger DE-627 rakwb eng Hamacher, Daniel verfasserin (orcid)0000-0002-2296-4316 aut Less noise during dual-task walking in healthy young adults: an analysis of different gait variability components 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract Dual-task costs of gait (variability) parameters are frequently used to probe the grade of automaticity of walking. However, recent studies reported contradicting dual-task costs for different gait variability measures within the same cohorts. The effects of a dual-task on the gait pattern are, thus, not fully understood. The aim of the current study was to analyze the different gait variability components (‘Tolerance’, ‘Noise’, and ‘Covariation’) during dual-task walking compared to single-task walking. In an experimental study, 21 young and healthy adults (11 males, 10 females, age: 24 ± 3 years) were included. The participants completed three experimental conditions: (a) single-task walking, (b) dual-task walking (serial-seven subtractions), and (c) cognitive single task in sitting position. To analyze different gait variability components, we applied a method which distinguishes the three components: ‘Tolerance’, ‘Noise’, and ‘Covariation’ (TNC). To test for differences, we used the statistical parametric mapping method. Compared to single-task walking, the results depict lower gait variability of the result parameters during the dual-task condition at 0–15% (p = 0.010) and 94–100% (p = 0.040) of the stance phase and 0–63% (p < 0.001) during the swing phase. The decreased result parameter variability was due to less (sensorimotor) ‘Noise’ (stance: 2–100%, p < 0.001; swing: 2–59%, p < 0.001) during the dual-task walking condition. In further studies, the sources of the reduced unstructured (sensorimotor) noise in the dual-task condition should be analyzed to better understand the effect of a cognitive dual task on the gait pattern. Gait (dpeaa)DE-He213 TNC analysis (dpeaa)DE-He213 Functional variability (dpeaa)DE-He213 Covariation (dpeaa)DE-He213 Noise (dpeaa)DE-He213 Uncontrolled manifold (dpeaa)DE-He213 Koch, Monique aut Löwe, Susanna aut Zech, Astrid aut Enthalten in Experimental brain research Berlin : Springer, 1966 237(2019), 12 vom: 08. Okt., Seite 3185-3193 (DE-627)253723159 (DE-600)1459099-2 1432-1106 nnns volume:237 year:2019 number:12 day:08 month:10 pages:3185-3193 https://dx.doi.org/10.1007/s00221-019-05664-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 237 2019 12 08 10 3185-3193
allfieldsSound	10.1007/s00221-019-05664-2 doi (DE-627)SPR002443511 (SPR)s00221-019-05664-2-e DE-627 ger DE-627 rakwb eng Hamacher, Daniel verfasserin (orcid)0000-0002-2296-4316 aut Less noise during dual-task walking in healthy young adults: an analysis of different gait variability components 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract Dual-task costs of gait (variability) parameters are frequently used to probe the grade of automaticity of walking. However, recent studies reported contradicting dual-task costs for different gait variability measures within the same cohorts. The effects of a dual-task on the gait pattern are, thus, not fully understood. The aim of the current study was to analyze the different gait variability components (‘Tolerance’, ‘Noise’, and ‘Covariation’) during dual-task walking compared to single-task walking. In an experimental study, 21 young and healthy adults (11 males, 10 females, age: 24 ± 3 years) were included. The participants completed three experimental conditions: (a) single-task walking, (b) dual-task walking (serial-seven subtractions), and (c) cognitive single task in sitting position. To analyze different gait variability components, we applied a method which distinguishes the three components: ‘Tolerance’, ‘Noise’, and ‘Covariation’ (TNC). To test for differences, we used the statistical parametric mapping method. Compared to single-task walking, the results depict lower gait variability of the result parameters during the dual-task condition at 0–15% (p = 0.010) and 94–100% (p = 0.040) of the stance phase and 0–63% (p < 0.001) during the swing phase. The decreased result parameter variability was due to less (sensorimotor) ‘Noise’ (stance: 2–100%, p < 0.001; swing: 2–59%, p < 0.001) during the dual-task walking condition. In further studies, the sources of the reduced unstructured (sensorimotor) noise in the dual-task condition should be analyzed to better understand the effect of a cognitive dual task on the gait pattern. Gait (dpeaa)DE-He213 TNC analysis (dpeaa)DE-He213 Functional variability (dpeaa)DE-He213 Covariation (dpeaa)DE-He213 Noise (dpeaa)DE-He213 Uncontrolled manifold (dpeaa)DE-He213 Koch, Monique aut Löwe, Susanna aut Zech, Astrid aut Enthalten in Experimental brain research Berlin : Springer, 1966 237(2019), 12 vom: 08. Okt., Seite 3185-3193 (DE-627)253723159 (DE-600)1459099-2 1432-1106 nnns volume:237 year:2019 number:12 day:08 month:10 pages:3185-3193 https://dx.doi.org/10.1007/s00221-019-05664-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 237 2019 12 08 10 3185-3193
language	English
source	Enthalten in Experimental brain research 237(2019), 12 vom: 08. Okt., Seite 3185-3193 volume:237 year:2019 number:12 day:08 month:10 pages:3185-3193
sourceStr	Enthalten in Experimental brain research 237(2019), 12 vom: 08. Okt., Seite 3185-3193 volume:237 year:2019 number:12 day:08 month:10 pages:3185-3193
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Gait TNC analysis Functional variability Covariation Noise Uncontrolled manifold
isfreeaccess_bool	false
container_title	Experimental brain research
authorswithroles_txt_mv	Hamacher, Daniel @@aut@@ Koch, Monique @@aut@@ Löwe, Susanna @@aut@@ Zech, Astrid @@aut@@
publishDateDaySort_date	2019-10-08T00:00:00Z
hierarchy_top_id	253723159
id	SPR002443511
language_de	englisch
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author	Hamacher, Daniel
spellingShingle	Hamacher, Daniel misc Gait misc TNC analysis misc Functional variability misc Covariation misc Noise misc Uncontrolled manifold Less noise during dual-task walking in healthy young adults: an analysis of different gait variability components
authorStr	Hamacher, Daniel
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topic_title	Less noise during dual-task walking in healthy young adults: an analysis of different gait variability components Gait (dpeaa)DE-He213 TNC analysis (dpeaa)DE-He213 Functional variability (dpeaa)DE-He213 Covariation (dpeaa)DE-He213 Noise (dpeaa)DE-He213 Uncontrolled manifold (dpeaa)DE-He213
topic	misc Gait misc TNC analysis misc Functional variability misc Covariation misc Noise misc Uncontrolled manifold
topic_unstemmed	misc Gait misc TNC analysis misc Functional variability misc Covariation misc Noise misc Uncontrolled manifold
topic_browse	misc Gait misc TNC analysis misc Functional variability misc Covariation misc Noise misc Uncontrolled manifold
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title	Less noise during dual-task walking in healthy young adults: an analysis of different gait variability components
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title_full	Less noise during dual-task walking in healthy young adults: an analysis of different gait variability components
author_sort	Hamacher, Daniel
journal	Experimental brain research
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author_browse	Hamacher, Daniel Koch, Monique Löwe, Susanna Zech, Astrid
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author-letter	Hamacher, Daniel
doi_str_mv	10.1007/s00221-019-05664-2
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title_sort	less noise during dual-task walking in healthy young adults: an analysis of different gait variability components
title_auth	Less noise during dual-task walking in healthy young adults: an analysis of different gait variability components
abstract	Abstract Dual-task costs of gait (variability) parameters are frequently used to probe the grade of automaticity of walking. However, recent studies reported contradicting dual-task costs for different gait variability measures within the same cohorts. The effects of a dual-task on the gait pattern are, thus, not fully understood. The aim of the current study was to analyze the different gait variability components (‘Tolerance’, ‘Noise’, and ‘Covariation’) during dual-task walking compared to single-task walking. In an experimental study, 21 young and healthy adults (11 males, 10 females, age: 24 ± 3 years) were included. The participants completed three experimental conditions: (a) single-task walking, (b) dual-task walking (serial-seven subtractions), and (c) cognitive single task in sitting position. To analyze different gait variability components, we applied a method which distinguishes the three components: ‘Tolerance’, ‘Noise’, and ‘Covariation’ (TNC). To test for differences, we used the statistical parametric mapping method. Compared to single-task walking, the results depict lower gait variability of the result parameters during the dual-task condition at 0–15% (p = 0.010) and 94–100% (p = 0.040) of the stance phase and 0–63% (p < 0.001) during the swing phase. The decreased result parameter variability was due to less (sensorimotor) ‘Noise’ (stance: 2–100%, p < 0.001; swing: 2–59%, p < 0.001) during the dual-task walking condition. In further studies, the sources of the reduced unstructured (sensorimotor) noise in the dual-task condition should be analyzed to better understand the effect of a cognitive dual task on the gait pattern. © Springer-Verlag GmbH Germany, part of Springer Nature 2019
abstractGer	Abstract Dual-task costs of gait (variability) parameters are frequently used to probe the grade of automaticity of walking. However, recent studies reported contradicting dual-task costs for different gait variability measures within the same cohorts. The effects of a dual-task on the gait pattern are, thus, not fully understood. The aim of the current study was to analyze the different gait variability components (‘Tolerance’, ‘Noise’, and ‘Covariation’) during dual-task walking compared to single-task walking. In an experimental study, 21 young and healthy adults (11 males, 10 females, age: 24 ± 3 years) were included. The participants completed three experimental conditions: (a) single-task walking, (b) dual-task walking (serial-seven subtractions), and (c) cognitive single task in sitting position. To analyze different gait variability components, we applied a method which distinguishes the three components: ‘Tolerance’, ‘Noise’, and ‘Covariation’ (TNC). To test for differences, we used the statistical parametric mapping method. Compared to single-task walking, the results depict lower gait variability of the result parameters during the dual-task condition at 0–15% (p = 0.010) and 94–100% (p = 0.040) of the stance phase and 0–63% (p < 0.001) during the swing phase. The decreased result parameter variability was due to less (sensorimotor) ‘Noise’ (stance: 2–100%, p < 0.001; swing: 2–59%, p < 0.001) during the dual-task walking condition. In further studies, the sources of the reduced unstructured (sensorimotor) noise in the dual-task condition should be analyzed to better understand the effect of a cognitive dual task on the gait pattern. © Springer-Verlag GmbH Germany, part of Springer Nature 2019
abstract_unstemmed	Abstract Dual-task costs of gait (variability) parameters are frequently used to probe the grade of automaticity of walking. However, recent studies reported contradicting dual-task costs for different gait variability measures within the same cohorts. The effects of a dual-task on the gait pattern are, thus, not fully understood. The aim of the current study was to analyze the different gait variability components (‘Tolerance’, ‘Noise’, and ‘Covariation’) during dual-task walking compared to single-task walking. In an experimental study, 21 young and healthy adults (11 males, 10 females, age: 24 ± 3 years) were included. The participants completed three experimental conditions: (a) single-task walking, (b) dual-task walking (serial-seven subtractions), and (c) cognitive single task in sitting position. To analyze different gait variability components, we applied a method which distinguishes the three components: ‘Tolerance’, ‘Noise’, and ‘Covariation’ (TNC). To test for differences, we used the statistical parametric mapping method. Compared to single-task walking, the results depict lower gait variability of the result parameters during the dual-task condition at 0–15% (p = 0.010) and 94–100% (p = 0.040) of the stance phase and 0–63% (p < 0.001) during the swing phase. The decreased result parameter variability was due to less (sensorimotor) ‘Noise’ (stance: 2–100%, p < 0.001; swing: 2–59%, p < 0.001) during the dual-task walking condition. In further studies, the sources of the reduced unstructured (sensorimotor) noise in the dual-task condition should be analyzed to better understand the effect of a cognitive dual task on the gait pattern. © Springer-Verlag GmbH Germany, part of Springer Nature 2019
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container_issue	12
title_short	Less noise during dual-task walking in healthy young adults: an analysis of different gait variability components
url	https://dx.doi.org/10.1007/s00221-019-05664-2
remote_bool	true
author2	Koch, Monique Löwe, Susanna Zech, Astrid
author2Str	Koch, Monique Löwe, Susanna Zech, Astrid
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doi_str	10.1007/s00221-019-05664-2
up_date	2024-07-04T03:02:06.919Z
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Less noise during dual-task walking in healthy young adults: an analysis of different gait variability components

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