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Cognitive-behavioral screening reveals prevalent impairment in a large multicenter ALS cohort

Overview of attention for article published in Neurology, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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1 news outlet
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189 Mendeley
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Article details
Title
Cognitive-behavioral screening reveals prevalent impairment in a large multicenter ALS cohort
Published in
Neurology, January 2016
DOI 10.1212/wnl.0000000000002305
Pubmed ID
Authors

Jennifer Murphy, Pam Factor-Litvak, Raymond Goetz, Catherine Lomen-Hoerth, Peter L. Nagy, Jonathan Hupf, Jessica Singleton, Susan Woolley, Howard Andrews, Daragh Heitzman, Richard S. Bedlack, Jonathan S. Katz, Richard J. Barohn, Eric J. Sorenson, Björn Oskarsson, J. Americo M. Fernandes Filho, Edward J. Kasarskis, Tahseen Mozaffar, Yvonne D. Rollins, Sharon P. Nations, Andrea J. Swenson, Boguslawa A. Koczon-Jaremko, Hiroshi Mitsumoto, Jennifer Murphy, Pam Factor-Litvak, Raymond R Goetz, Cathy Lomen-Hoerth, Peter L Nagy, Jon Hupf, Jess Singleton, Susan Woolley, Howard Andrews, Daragh Heitzman, Richard S Bedlack, Jonathan S Katz, Richard J Barohn, Eric J Sorenson, Björn Oskarsson, J Americo M Fernandes Filho, Edward J Kasarskis, Tahseen Mozaffar, Yvonne Rollins, Sharon P Nations, Andrea J Swenson, Boguslawa A Koczon-Jaremko, Hiroshi Mitsumoto, Christa Campanella, David Merle, Tejal Shah, Meredith Pasmantier Kim, Yei-Won Lee, Georgia Christodoulou, Kate Dalton, Jessica Kidd, Erin Gilbert, Mary Kilty, Wendy Rodriguez, Shari Hand, Michelle Washington, Brent Spears, Brandie Burson, Karen Grace, Candace Boyette, Robert G. Miller, Dallas Forshew, Joni Beemsterboer, Will Harris, Shelley McCoy, Thaïs Zayas-Bazan, Chow Saephanh, April L McVey, Mazen M Dimachkie, Mamatha Pasnoor, Yunxia Wang, Lowell L Tilzer, Maureen Walsh, Laura Herbelin, Christian Pearson, Joe Sibinski, Kristy Anderson, Sherry Klingerman, Delana Weis, Nanette Joyce, Steffany Lim, Michelle Cregan, Kathie Vanderpool, Deborah Taylor, Samantha Thomas, Jason King, Robert Wells, Y-Nhy Duong, Dennis Robins, Claudia Villerme, Yvonne D Rollins, Steven P. Ringel, Dianna Quan, Elizabeth Whitethorn, Annabel K Wang, Veronica Martin, Brian Minton, Patricia Tully, Denise Davis, Pariwat Thaisetthawatkul, Cindy Cowardin, Russell Herstein, Carolyn Peterson, Decontee Jimmeh-Fletcher, Heena Olalde, Jeri Sieren, Jeffrey Elliott, Jaya Trivedi, Nina Gorham, Jeremy M. Shefner, Mary Lou Watson, Jennifer Moore, Katie Markis, Megan Grosso, Jinsy A. Andrews, Agnes Koczon-Jaremko, Janet Bowen

Abstract

To characterize the prevalence of cognitive and behavioral symptoms using a cognitive/behavioral screening battery in a large prospective multicenter study of amyotrophic lateral sclerosis (ALS). Two hundred seventy-four patients with ALS completed 2 validated cognitive screening tests and 2 validated behavioral interviews with accompanying caregivers. We examined the associations between cognitive and behavioral performance, demographic and clinical data, and C9orf72 mutation data. Based on the ALS Cognitive Behavioral Screen cognitive score, 6.5% of the sample scored below the cutoff score for frontotemporal lobar dementia, 54.2% scored in a range consistent with ALS with mild cognitive impairment, and 39.2% scored in the normal range. The ALS Cognitive Behavioral Screen behavioral subscale identified 16.5% of the sample scoring below the dementia cutoff score, with an additional 14.1% scoring in the ALS behavioral impairment range, and 69.4% scoring in the normal range. This investigation revealed high levels of cognitive and behavioral impairment in patients with ALS within 18 months of symptom onset, comparable to prior investigations. This investigation illustrates the successful use and scientific value of adding a cognitive-behavioral screening tool in studies of motor neuron diseases, to provide neurologists with an efficient method to measure these common deficits and to understand how they relate to key clinical variables, when extensive neuropsychological examinations are unavailable. These tools, developed specifically for patients with motor impairment, may be particularly useful in patient populations with multiple sclerosis and Parkinson disease, who are known to have comorbid cognitive decline.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
France 1 <1%
Brazil 1 <1%
Unknown 187 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 30 16%
Researcher 24 13%
Student > Master 19 10%
Student > Doctoral Student 15 8%
Student > Bachelor 15 8%
Other 32 17%
Unknown 54 29%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 36 19%
Psychology 27 14%
Neuroscience 18 10%
Nursing and Health Professions 14 7%
Social Sciences 6 3%
Other 23 12%
Unknown 65 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 October 2025.
All research outputs
#3,192,113
of 29,567,820 outputs
Outputs from Neurology
#5,727
of 23,461 outputs
Outputs of similar age
#47,417
of 418,599 outputs
Outputs of similar age from Neurology
#104
of 264 outputs
Altmetric has tracked 29,567,820 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 23,461 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.3. This one has done well, scoring higher than 75% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 418,599 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 264 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.