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Record W3199795261 · doi:10.1097/cm9.0000000000001732

Therapeutic potential of bright light therapy for the non-motor symptoms in Parkinson's disease

2021· letter· en· W3199795261 on OpenAlexaboutno aff
Yun Shen, Siyi Gong, Yulu Liu, Jie Li, Kangping Xiong, Chengjie Mao, Yali Wang, Dan Li, Fen Wang, Hua Hu, Chun‐Feng Liu

Bibliographic record

VenueChinese Medical Journal · 2021
Typeletter
Languageen
FieldNeuroscience
TopicCircadian rhythm and melatonin
Canadian institutionsnot available
Fundersnot available
KeywordsEpworth Sleepiness ScaleMedicineParkinson's diseasePittsburgh Sleep Quality IndexCircadian rhythmLight therapyInternal medicineDepression (economics)Excessive daytime sleepinessMotor symptomsDiseaseSleep disorderSleep qualityPsychiatryCognitionPolysomnography

Abstract

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To the Editor: Alterations of circadian rhythms seem to be the casual contribution to sleep disturbances, depression, and other non-motor symptoms in Parkinson's disease (PD).[1,2] By restoring the circadian rhythm, bright light therapy (BLT) might be a potentially new treatment option for PD. However, no studies have conclusively demonstrated the effects of BLT on the non-motor symptoms in PD. Twenty-seven PD patients signed written informed consent and were included in this study. All the patients received 1 h of BLT (10,000 lux) daily within a time frame of 09:00 AM and 11:00 AM for 7 consecutive days. Participants were evaluated for motor and non-motor symptoms before and after the treatment, followed by the assessment of non-motor symptoms on day 28. Finally, 23 PD patients completed the study [Figure 1]. Compared with the baseline, BLT significantly improved daytime sleepiness as assessed by Epworth Sleepiness Scale (ESS, 8.91 ± 5.43 vs. 8.26 ± 4.51, P = 0.032), sleep quality as assessed by Pittsburgh Sleep Quality Index (PSQI, 9.22 ± 4.74 vs. 7.65 ± 3.79, P = 0.042), and Parkinson's Disease Sleep Scale-2 (PDSS-2, 33.65 ± 13.78 vs. 35.96 ± 11.93, P = 0.043). In addition, there were significant differences in Montreal Cognitive Assessment (MoCA) scores (22.17 ± 4.44 vs. 22.91 ± 3.84, P = 0.002) and delayed recall section (1.74 ± 1.91 vs. 2.48 ± 1.75, P = 0.000) between pre- and post-light exposure. There was no significant change in motor symptoms and other non-motor symptoms like depression, anxiety, and autonomic functions. At follow-up, most rating scales that reflected improvement after light exposure were not statistically significant from baseline, except Hamilton Depression Rating Scale (HAMD, 7.96 ± 4.25 vs. 8.52 ± 4.03, P = 0.006). PD patients were divided into PD with EDS and PD without EDS based on ESS scores. Further analysis demonstrated significant improvement in daytime sleepiness in PD with the EDS group after light exposure.Figure 1: The flowchart of study design and patient enrolment. BLT: Bright light therapy; ESS: Epworth Sleepiness Scale; HAMD: Hamilton Depression Rating Scale; MoCA: Montreal Cognitive Assessment; PD: Parkinson's disease; PDSS-2: Parkinson's Disease Sleep Scale-2; PSQI: Pittsburgh Sleep Quality Index. UPDRS: Unified Parkinson's Disease Rating Scale; H&Y: Hoehn & Yahr staging; MMSE: Mini Mental State Examination; HAMA: Hamilton Anxiety Rating Scale; PDQ-39: Parkinson's Disease Questionnaire-39; SCOPA-AUT: Scales for Outcomes in Parkinson's disease- Autonomic; NMSQ: Non-Motor Symptom Questionnaire; FSS: Fatigue Severity Scale; ESS: Epworth Sleepiness Scale; RBDSQ: Rem sleep Behavior Disorder Screening Questionnaire; RBD-HK: Rem sleep Behavior Disorder questionnaire - Hong Kong; MEQ-SA: Morningness - Eveningness questionnaire Self-Assessment version.The strengths of this study lie in the comprehensive assessments of the efficacy of BLT on the non-motor symptoms in PD patients. Besides, scores for each subscale were analyzed for spotting minor improvement of BLT. Finally, to the best of our knowledge, this is a rare report in China yet. There are several limitations to this study. First, the sample size is relatively small and selection bias should be considered. Second, the control group is not included in this study; thus, the possibility of placebo effects could not be excluded. Besides, the place where patients received BLT is not a closed space; therefore, the external light environment changing with seasons could interfere with our experiment. Finally, our study lacks more objective data for clinical assessment, such as data from polysomnography, actigraphy, or data on dynamic changes of cortisol and melatonin. To conclude, BLT for the PD population is still in its infancy. BLT might be a feasible treatment for ameliorating the sleep and cognitive functions in PD patients. Due to the relatively short intervention time and small sample size, the effects of BLT seemed to be mild and temporal. Further randomized controlled trials with larger samples are warranted to clarify the optimal parameters of photobiomodulation and objectively evaluate its effects in the PD population. Funding This work was supported by grants from the Jiangsu Provincial Key R&D Program (No. BE2018658), the Jiangsu Provincial Medical Key Discipline Project (No. ZDXKB2016022), Discipline Construction Program of the Second Affiliated Hospital Soochow University(No. XKTJ-XK202001), the National Natural Science Foundation of China (No. 81801253) and the Natural Science Foundation of Jiangsu Province (BK 20180214). Conflicts of interest None.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.359
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.263
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2021
Admission routes1
Has abstractyes

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