Christina E Hugenschmidt1, Jonathan H Burdette2, Ashley R Morgan2, Jeff D Williamson3, Stephen B Kritchevsky3, Paul J Laurienti2. 1. Sticht Center on Aging and Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina. chugensc@wakehealth.edu. 2. Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina. 3. Sticht Center on Aging and Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Abstract
BACKGROUND: The brain's structural integrity is associated with mobility function in older adults. Changes in function may be evident earlier than changes in structure and may be more directly related to mobility. Therefore, we assessed whether functional brain networks varied with mobility function in older adults. METHODS: Short Physical Performance Battery (SPPB) and resting state functional magnetic resonance imaging were collected on 24 young (mean age = 26.4±5.1) and 48 older (mean age = 72.04±5.1) participants. Older participants were divided into three groups by SPPB score: Low SPPB (score = 7-9), Mid SPPB (score = 10), High SPPB (score = 11-12).Graph theory-based methods were used to characterize and compare brain network organization. RESULTS: Connectivity in the somatomotor cortex distinguished between groups based on SPPB score. The community structure of the somatomotor cortex was significantly less consistent in the Low SPPB group (mean = 0.097±0.05) compared with Young (mean = 0.163±0.09, p = .03) SPPB group. Striking differences were evident in second-order connections between somatomotor cortex and superior temporal gyrus and insula that reached statistical significance. The Low SPPB group (mean = 140.87±109.30) had a significantly higher number of connections than Young (mean = 45.05±33.79, p = .0003) or High (mean = 49.61±35.31, p = .002) SPPB group. CONCLUSIONS: Older adults with poorer mobility function exhibited reduced consistency of somatomotor community structure and a greater number of secondary connections with vestibular and multisensory regions of the brain. Further study is needed to fully interpret these effects, but analysis of functional brain networks adds new insights to the contribution of the brain to mobility.
BACKGROUND: The brain's structural integrity is associated with mobility function in older adults. Changes in function may be evident earlier than changes in structure and may be more directly related to mobility. Therefore, we assessed whether functional brain networks varied with mobility function in older adults. METHODS: Short Physical Performance Battery (SPPB) and resting state functional magnetic resonance imaging were collected on 24 young (mean age = 26.4±5.1) and 48 older (mean age = 72.04±5.1) participants. Older participants were divided into three groups by SPPB score: Low SPPB (score = 7-9), Mid SPPB (score = 10), High SPPB (score = 11-12).Graph theory-based methods were used to characterize and compare brain network organization. RESULTS: Connectivity in the somatomotor cortex distinguished between groups based on SPPB score. The community structure of the somatomotor cortex was significantly less consistent in the Low SPPB group (mean = 0.097±0.05) compared with Young (mean = 0.163±0.09, p = .03) SPPB group. Striking differences were evident in second-order connections between somatomotor cortex and superior temporal gyrus and insula that reached statistical significance. The Low SPPB group (mean = 140.87±109.30) had a significantly higher number of connections than Young (mean = 45.05±33.79, p = .0003) or High (mean = 49.61±35.31, p = .002) SPPB group. CONCLUSIONS: Older adults with poorer mobility function exhibited reduced consistency of somatomotor community structure and a greater number of secondary connections with vestibular and multisensory regions of the brain. Further study is needed to fully interpret these effects, but analysis of functional brain networks adds new insights to the contribution of the brain to mobility.
Authors: Paul J Laurienti; Karen E Joyce; Qawi K Telesford; Jonathan H Burdette; Satoru Hayasaka Journal: Physica A Date: 2011-10-01 Impact factor: 3.263
Authors: Caterina Rosano; David A Bennett; Anne B Newman; Vijay Venkatraman; Kristine Yaffe; Tamara Harris; Stephen Kritchevsky; Howard J Aizenstein Journal: J Gerontol A Biol Sci Med Sci Date: 2012-02-24 Impact factor: 6.053
Authors: Karlijn F de Laat; Andrew T Reid; David C Grim; Alan C Evans; Rolf Kötter; Anouk G W van Norden; Frank-Erik de Leeuw Journal: Neuroimage Date: 2011-08-11 Impact factor: 6.556
Authors: Caterina Rosano; Howard Aizenstein; Jennifer Brach; Allison Longenberger; Stephanie Studenski; Anne B Newman Journal: J Gerontol A Biol Sci Med Sci Date: 2008-12 Impact factor: 6.053
Authors: Eric G James; Jeffrey M Hausdorff; Suzanne G Leveille; Thomas Travison; Jonathan F Bean Journal: Neurosci Lett Date: 2020-05-24 Impact factor: 3.046
Authors: Meredith Petrie; W Jack Rejeski; Swati Basu; Paul J Laurienti; Anthony P Marsh; James L Norris; Daniel B Kim-Shapiro; Jonathan H Burdette Journal: J Gerontol A Biol Sci Med Sci Date: 2017-09-01 Impact factor: 6.053
Authors: Andrea Z LaCroix; Rebecca A Hubbard; Shelly L Gray; Melissa L Anderson; Paul K Crane; Joshua A Sonnen; Oleg Zaslavsky; Eric B Larson Journal: BMC Geriatr Date: 2017-11-02 Impact factor: 3.921
Authors: Alix L de Dieuleveult; Petra C Siemonsma; Jan B F van Erp; Anne-Marie Brouwer Journal: Front Aging Neurosci Date: 2017-03-28 Impact factor: 5.750
Authors: Blake R Neyland; Christina E Hugenschmidt; Robert G Lyday; Jonathan H Burdette; Laura D Baker; W Jack Rejeski; Michael E Miller; Stephen B Kritchevsky; Paul J Laurienti Journal: Brain Sci Date: 2021-01-17
Authors: Deepthi Thumuluri; Robert Lyday; Phyllis Babcock; Edward H Ip; Robert A Kraft; Paul J Laurienti; Rebecca Barnstaple; Christina T Soriano; Christina E Hugenschmidt Journal: Front Sports Act Living Date: 2022-01-14
Authors: Sung W Lee; Paul J Laurienti; Jonathan H Burdette; Catherine L Tegeler; Ashley R Morgan; Sean L Simpson; Lee Gerdes; Charles H Tegeler Journal: J Neuroimaging Date: 2018-10-10 Impact factor: 2.486