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Co-Authors

This is a "connection" page, showing publications co-authored by Jeffrey Hausdorff and Aron Buchman.

 
Connection Strength
  
 
 
2.939
  
  1. Hausdorff JM, Buchman AS. What links gait speed and MCI with dementia? A fresh look at the association between motor and cognitive function. J Gerontol A Biol Sci Med Sci. 2013 Apr; 68(4):409-11.
    View in: PubMed
    Score: 0.472
  2. Buchman AS, Wang T, Oveisgharan S, Zammit AR, Yu L, Li P, Hu K, Hausdorff JM, Lim ASP, Bennett DA. Correlates of Person-Specific Rates of Change in Sensor-Derived Physical Activity Metrics of Daily Living in the Rush Memory and Aging Project. Sensors (Basel). 2023 Apr 21; 23(8).
    View in: PubMed
    Score: 0.239
  3. Brand YE, Schwartz D, Gazit E, Buchman AS, Gilad-Bachrach R, Hausdorff JM. Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinson's Disease. Sensors (Basel). 2022 Sep 19; 22(18).
    View in: PubMed
    Score: 0.230
  4. Poole VN, Dawe RJ, Lamar M, Esterman M, Barnes L, Leurgans SE, Bennett DA, Hausdorff JM, Buchman AS. Dividing attention during the Timed Up and Go enhances associations of several subtask performances with MCI and cognition. PLoS One. 2022; 17(8):e0269398.
    View in: PubMed
    Score: 0.228
  5. Ganz N, Gazit E, Giladi N, Dawe RJ, Mirelman A, Buchman AS, Hausdorff JM. Automatic Quantification of Tandem Walking Using a Wearable Device: New Insights Into Dynamic Balance and Mobility in Older Adults. J Gerontol A Biol Sci Med Sci. 2021 01 01; 76(1):101-107.
    View in: PubMed
    Score: 0.204
  6. Buchman AS, Dawe RJ, Leurgans SE, Curran TA, Truty T, Yu L, Barnes LL, Hausdorff JM, Bennett DA. Different Combinations of Mobility Metrics Derived From a Wearable Sensor Are Associated With Distinct Health Outcomes in Older Adults. J Gerontol A Biol Sci Med Sci. 2020 05 22; 75(6):1176-1183.
    View in: PubMed
    Score: 0.196
  7. Gazit E, Buchman AS, Dawe R, Curran TA, Mirelman A, Giladi N, Hausdorff JM. What happens before the first step? A New Approach to Quantifying Gait Initiation Using a Wearable Sensor. Gait Posture. 2020 02; 76:128-135.
    View in: PubMed
    Score: 0.188
  8. von Coelln R, Dawe RJ, Leurgans SE, Curran TA, Truty T, Yu L, Barnes LL, Shulman JM, Shulman LM, Bennett DA, Hausdorff JM, Buchman AS. Quantitative mobility metrics from a wearable sensor predict incident parkinsonism in older adults. Parkinsonism Relat Disord. 2019 08; 65:190-196.
    View in: PubMed
    Score: 0.183
  9. Dawe RJ, Yu L, Leurgans SE, Truty T, Curran T, Hausdorff JM, Wimmer MA, Block JA, Bennett DA, Buchman AS. Expanding instrumented gait testing in the community setting: A portable, depth-sensing camera captures joint motion in older adults. PLoS One. 2019; 14(5):e0215995.
    View in: PubMed
    Score: 0.182
  10. Weiss A, Herman T, Mirelman A, Shiratzky SS, Giladi N, Barnes LL, Bennett DA, Buchman AS, Hausdorff JM. The transition between turning and sitting in patients with Parkinson's disease: A wearable device detects an unexpected sequence of events. Gait Posture. 2019 01; 67:224-229.
    View in: PubMed
    Score: 0.175
  11. Dawe RJ, Leurgans SE, Yang J, Bennett JM, Hausdorff JM, Lim AS, Gaiteri C, Bennett DA, Buchman AS. Association Between Quantitative Gait and Balance Measures and Total Daily Physical Activity in Community-Dwelling Older Adults. J Gerontol A Biol Sci Med Sci. 2018 04 17; 73(5):636-642.
    View in: PubMed
    Score: 0.169
  12. Weiss A, Mirelman A, Giladi N, Barnes LL, Bennett DA, Buchman AS, Hausdorff JM. Transition Between the Timed up and Go Turn to Sit Subtasks: Is Timing Everything? J Am Med Dir Assoc. 2016 09 01; 17(9):864.e9-864.e15.
    View in: PubMed
    Score: 0.151
  13. Buchman AS, Leurgans SE, Weiss A, Vanderhorst V, Mirelman A, Dawe R, Barnes LL, Wilson RS, Hausdorff JM, Bennett DA. Associations between quantitative mobility measures derived from components of conventional mobility testing and Parkinsonian gait in older adults. PLoS One. 2014; 9(1):e86262.
    View in: PubMed
    Score: 0.126
  14. Weiss A, Mirelman A, Buchman AS, Bennett DA, Hausdorff JM. Using a body-fixed sensor to identify subclinical gait difficulties in older adults with IADL disability: maximizing the output of the timed up and go. PLoS One. 2013; 8(7):e68885.
    View in: PubMed
    Score: 0.122
  15. Broom L, Ellison BA, Worley A, Wagenaar L, S?rberg E, Ashton C, Bennett DA, Buchman AS, Saper CB, Shih LC, Hausdorff JM, VanderHorst VG. A translational approach to capture gait signatures of neurological disorders in mice and humans. Sci Rep. 2017 06 12; 7(1):3225.
    View in: PubMed
    Score: 0.040
  16. Verghese J, Annweiler C, Ayers E, Barzilai N, Beauchet O, Bennett DA, Bridenbaugh SA, Buchman AS, Callisaya ML, Camicioli R, Capistrant B, Chatterji S, De Cock AM, Ferrucci L, Giladi N, Guralnik JM, Hausdorff JM, Holtzer R, Kim KW, Kowal P, Kressig RW, Lim JY, Lord S, Meguro K, Montero-Odasso M, Muir-Hunter SW, Noone ML, Rochester L, Srikanth V, Wang C. Motoric cognitive risk syndrome: multicountry prevalence and dementia risk. Neurology. 2014 Aug 19; 83(8):718-26.
    View in: PubMed
    Score: 0.033
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.