| Title |
Neural correlates of effort-dependent and effort-independent cognitive fatigue components in patients with multiple sclerosis
|
|---|---|
| Published in |
Multiple Sclerosis Journal, November 2017
|
| DOI | 10.1177/1352458517743090 |
| Pubmed ID | |
| Authors |
Stefan Spiteri, Thomas Hassa, Dolores Claros-Salinas, Christian Dettmers, Mircea Ariel Schoenfeld |
| Abstract |
Among patients with multiple sclerosis (MS), fatigue is the most commonly reported symptom. It can be subdivided into an effort-dependent (fatigability) and an effort-independent component (trait-fatigue). The objective was to disentangle activity changes associated with effort-independent "trait-fatigue" from those associated with effort-dependent fatigability in MS patients. This study employed behavioral measures and functional magnetic imaging to investigate neural changes in MS patients associated with fatigue. A total of 40 MS patients and 22 age-matched healthy controls performed in a fatigue-inducing N-back task. Effort-independent fatigue was assessed using the Fatigue Scale of Motor and Cognition (FSMC) questionnaire. Effort-independent fatigue was observed to be reflected by activity increases in fronto-striatal-subcortical networks primarily involved in the maintenance of homeostatic processes and in motor and cognitive control. Effort-dependent fatigue (fatigability) leads to activity decreases in attention-related cortical and subcortical networks. These results indicate that effort-independent (fatigue) and effort-dependent fatigue (fatigability) in MS patients have functionally related but fundamentally different neural correlates. Fatigue in MS as a general phenomenon is reflected by complex interactions of activity increases in control networks (effort-independent component) and activity reductions in executive networks (effort-dependent component) of brain areas. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 29% |
| Chile | 1 | 14% |
| Australia | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 82 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 16% |
| Researcher | 11 | 13% |
| Student > Bachelor | 6 | 7% |
| Student > Master | 6 | 7% |
| Other | 4 | 5% |
| Other | 9 | 11% |
| Unknown | 33 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 14 | 17% |
| Medicine and Dentistry | 11 | 13% |
| Neuroscience | 11 | 13% |
| Sports and Recreations | 3 | 4% |
| Computer Science | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 35 | 43% |
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 21 February 2019.
All research outputs
#2,399,085
of 23,008,860 outputs
Outputs from Multiple Sclerosis Journal
#677
of 3,478 outputs
Outputs of similar age
#55,853
of 437,733 outputs
Outputs of similar age from Multiple Sclerosis Journal
#11
of 55 outputs
Altmetric has tracked 23,008,860 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 3,478 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done well, scoring higher than 80% 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 437,733 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 87% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.