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Record W4406222489 · doi:10.1002/alz.094682

A pilot study evaluating the feasibility, safety, and efficacy of transcranial photobiomodulation (tPBM) for the treatment of mild cognitive impairment (MCI): preliminary findings

2024· article· en· W4406222489 on OpenAlexaff
Neda Rashidi‐Ranjbar, Nathan W. Churchill, Raphaël Schneider, Tom A. Schweizer, Corinne E. Fischer

Bibliographic record

VenueAlzheimer s & Dementia · 2024
Typearticle
Languageen
FieldMedicine
TopicLaser Applications in Dentistry and Medicine
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsMedicineDefault mode networkDementiaCognitionCreatineInternal medicinePsychologyNeuroscience

Abstract

fetched live from OpenAlex

Abstract Background Mild Cognitive Impairment (MCI) serves as a precursor to Alzheimer’s dementia (AD). Recent research underscores the relationship between mitochondrial dysfunction and amyloid beta accumulation, underscoring the prospect of targeting mitochondrial function for intervention. Consequently, our study aimed to explore the efficacy of transcranial photobiomodulation (tPBM), a novel non‐invasive technique utilizing near‐infrared light to activate mitochondrial cytochrome C oxidase receptors, thereby enhancing cellular energy in individuals with MCI. Methods Fifteen MCI patients were randomly allocated to either active or sham groups (8 active, 7 sham), with both groups receiving indistinguishable active and sham tPBM devices. Over a span of 6 weeks, participants underwent daily home‐based tPBM sessions. Pre‐ and post‐treatment assessments included a comprehensive battery of tests, encompassing the Trail Making Test (TMT B & A), Mini‐Mental State Examination (MMSE), Proton Magnetic Resonance Spectroscopy (H‐MRS) of the posterior cingulate cortex, structural MRI, resting‐state functional MRI (rsfMRI), and blood analyses. Results In the active treatment group compared to the sham group, significant findings (p<0.05) emerged including: 1) faster executive functioning (reduced TMT B completion time), and a promising trend of enhanced MMSE and TMT B/A scores. 2) H‐MRS analysis revealed a decreased ratio of N‐acetyl aspartate to creatine (NAA/Cr), indicating improved neuronal health. 3) Structural MRI showed increased volume of the right thalamus. 4) Functional connectivity analysis using rs‐fMRI data unveiled higher change in the default mode network (DMN) and limbic network, as well as between DMN and executive control network (ECN). 5) Blood tests showcased decreases in isoleucine, methionine, and sarcosine levels—markers linked to AD and amyloid plaque formation—while displaying increases in butyrate, L‐carnitine, and L‐arginine levels—markers indicative of improved mitochondrial function. Furthermore, a notable trend towards decreased levels of tau protein was observed. Conclusions Our preliminary findings suggest a potential therapeutic benefit of tPBM in MCI, possibly through the augmentation of mitochondrial function. However, extending the treatment duration may yield further improvements in cognition. Parameters such as NAA/Cr ratios via H‐MRS, DMN functional connectivity via rs‐fMRI, and blood metabolites may serve as objective indicators of response to tPBM treatment. Nevertheless, conclusive determinations require a larger sample size.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: Non-randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.103
GPT teacher head0.402
Teacher spread0.299 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

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

Citations0
Published2024
Admission routes1
Has abstractyes

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