| Title |
Posterior limb of the internal capsule predicts poor quality of life in patients with Parkinson’s disease: connectometry approach
|
|---|---|
| Published in |
Acta Neurologica Belgica, March 2018
|
| DOI | 10.1007/s13760-018-0910-3 |
| Pubmed ID | |
| Authors |
Farzaneh Ghazi Sherbaf, Mahtab Mojtahed Zadeh, Maryam Haghshomar, Mohammad Hadi Aarabi |
| Abstract |
Psychiatric symptoms and motor impairment are major contributions to the poor quality of life in patients with Parkinson's disease (PD). Here, we applied a novel diffusion-weighted imaging approach, diffusion MRI connectometry, to investigate the correlation of quality of life, evaluated by Parkinson's Disease Questionnaire (PDQ39) with the white matter structural connectivity in 27 non-demented PD patients (disease duration of 5.3 ± 2.9 years, H and Y stage = 1.5 ± 0.6, UPDRS-III = 13.7 ± 6.5, indicating unilateral and mild motor involvement). The connectometry analysis demonstrated bilateral posterior limbs of the internal capsule (PLIC) with increased connectivity related to the higher quality of life (FDR = 0.027) in a multiple regression model. The present study suggests for the first time a neural basis of the quality of life in PD in the light of major determinants of poor quality of life in these patients: anxiety, depression, apathy and motor impairment. Results in our sample of non-demented PD patients with relatively mild motor impairment and no apparent sign of depression/anxiety also identify a unique and inexplicable association of the PLIC to the quality of life in PD patients. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 18% |
| Student > Bachelor | 5 | 15% |
| Student > Ph. D. Student | 3 | 9% |
| Other | 2 | 6% |
| Student > Doctoral Student | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 12 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 5 | 15% |
| Medicine and Dentistry | 4 | 12% |
| Neuroscience | 3 | 9% |
| Agricultural and Biological Sciences | 2 | 6% |
| Unspecified | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 15 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 March 2018.
All research outputs
#16,454,538
of 24,217,893 outputs
Outputs from Acta Neurologica Belgica
#365
of 809 outputs
Outputs of similar age
#217,338
of 337,361 outputs
Outputs of similar age from Acta Neurologica Belgica
#9
of 13 outputs
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