Photobiomodulation Therapy and Central Nervous System Disorders: A Systematic Review of Delivery Routes, Mechanisms, Parameters and Clinical Evidence
Abstract
1. Introduction
1.1. Central Nervous System Disorders: Global Burden and Therapeutic Challenges
1.2. Photobiomodulation: Mechanisms and Therapeutic Potential
Key Dosimetric Parameters in Photobiomodulation
1.3. Clinical Evidence: Promise and Inconsistency
1.4. Critical Knowledge Gaps and Research Questions
- Does delivery route determine therapeutic efficacy, and do delivery route requirements differ across CNS conditions? Existing reviews typically focus on single delivery routes or single conditions, precluding systematic comparison. If Alzheimer’s disease pathology primarily affects deep brain structures (hippocampus, entorhinal cortex) beyond trans-cranial light penetration, intra-nasal delivery providing direct neural pathway access may be essential. Conversely, if Parkinson’s disease pathology is amenable to cortical metabolic support, trans-cranial delivery may suffice. Stroke, involving acute ischaemic injury across variable brain regions, may have different delivery route requirements. No systematic analysis has compared outcomes based on delivery route across multiple CNS conditions to determine whether delivery route selection should be condition-specific.
- How should wavelength be rationally selected beyond historical precedent or device availability? Current practice often reflects device availability rather than biological optimisation. The NEST stroke trials employed an 808 nm wavelength because the sponsor company (PhotoThera, Inc. Santa Barbara, CA, USA) manufactured an 808 nm device [61], not because 808 nm was determined optimal for acute stroke treatment. Yet once established as the wavelength for stroke trials, subsequent research continued using 808 nm, creating a self-reinforcing cycle. A rational wavelength and dosimetry selection framework should consider: (a) photon energy and quantum efficiency for molecular activation; (b) tissue absorption and scattering properties; (c) chromophore absorption spectra for targeting specific molecular processes; (d) surface optical spot size and area treated; and (e) with respect to a laser: spectral beam profile, i.e., Gaussian or Flat-Top (rectified) power distribution across the beam. Such a framework has not been comprehensively developed or validated across CNS conditions.
- What mechanisms mediate remote PBM effects, and what is their clinical relevance? Several animal studies report that PBM applied to peripheral tissues (limbs, abdomen) produces neuroprotective effects in the brain despite there being no direct cranial irradiation. Proposed mechanisms include: (a) systemic endocrine, cytokine and growth factor signalling; (b) vascular propagation of effects through transmission of irradiated blood; (c) neurovascular activation of homeostatic and hormetic mechanics; (d) beneficial effects on the gut microbiome; (e) frontier biophysical effects, including biophysical mechano-transduction, biophoton signalling and micro-oscillatory cellular interactions. If remote PBM reliably produces CNS benefits, this would circumvent tissue penetration limitations and potentially enhance safety. However, clinical validation of remote effects in humans remains limited, mechanisms are incompletely characterised, and optimal peripheral application sites are unknown.
- Why do some trials demonstrate efficacy while others fail, and what factors beyond delivery route and wavelength contribute to outcome variability? The NEST progression from positive pilot to negative large trials suggests that initial positive results may overestimate effects, but similar patterns occur in other conditions. Factors potentially contributing to heterogeneity include: dosimetry differences (power, energy, duration, frequency); patient characteristics (disease stage, severity, subtype, age, comorbidities); methodological quality (blinding adequacy, sham characteristics, outcome measurement); treatment timing (acute vs. chronic, early vs. late intervention); and cumulative dose over entire treatment course. Identifying which factors appear associated with efficacy would enable rational protocol optimisation and patient selection.
- Does device availability bias influence research findings and clinical translation? If research predominantly employs wavelengths, delivery routes, or protocols dictated by commercially available devices rather than biological optimisation, the literature may reflect device characteristics and availability rather than true therapeutic potential. The failure of 808 nm trans-cranial PBM in stroke does not necessarily mean PBM cannot benefit stroke; it may mean that the 808 nm trans-cranial delivery is suboptimal, while other device designs, wavelengths or delivery routes might prove effective. Distinguishing between these possibilities requires a systematic examination of how device availability may have shaped research directions.
1.5. Rationale for Current Systematic Review
1.6. Review Objectives
- To systematically identify and synthesise evidence from randomised controlled trials, controlled trials, and case series evaluating PBM for CNS disorders in humans and animal models.
- To determine whether the delivery route (trans-cranial, intra-nasal, intraoral, remote, or combinations) is a primary determinant of therapeutic efficacy and whether delivery route requirements differ across CNS conditions.
- To analyse wavelength selection patterns and inherent device design features (e.g., single or multiple optical clusters) across studies, identify instances of device availability bias, and propose a rational three-factor framework (photon energy, chromophore matching, tissue absorption) for wavelength optimisation.
- To characterise proposed mechanisms of remote PBM effects (e.g., systemic signalling, vascular propagation, changes in the gut microbiome, biophoton transmission) and assess evidence quality for remote approaches.
- To examine the relationship between early positive findings and large confirmatory trials using the NEST stroke trial series as a case study, analysing factors contributing to effect size regression.
- To assess risk of bias in included studies using Cochrane methodology and rate evidence certainty using GRADE.
- To provide evidence-based clinical recommendations stratified by condition, delivery route, and wavelength, clearly delineating what is supported by current evidence and what remains uncertain.
- To identify critical knowledge gaps and propose research priorities to optimise clinical translation of photobiomodulation therapy for neurological disorders.
2. Methods
2.1. Protocol and Registration
2.2. Eligibility Criteria
2.3. Information Sources and Search Strategy
2.4. Study Selection Process
2.5. Data Collection and Extraction
2.6. Risk of Bias Assessment
2.7. Evidence Certainty Assessment
2.8. Data Synthesis and Analysis
2.9. Statistical Software and Reporting
3. Results
3.1. Study Selection and Search Results
3.2. Study Characteristics
3.3. Risk of Bias Outcome
3.4. Synthesis of Results Overview
3.5. Neurodegenerative Disorders
3.5.1. Alzheimer’s Disease and Related Dementias
3.5.2. Parkinson’s Disease
3.6. Acute Central Nervous System Injury
3.6.1. Stroke
3.6.2. Traumatic Brain Injury
3.7. Other CNS Conditions
3.7.1. Chronic Post-Stroke Aphasia
3.7.2. Autism Spectrum Disorder
3.7.3. Attention Deficit Hyperactivity Disorder
3.7.4. Parkinson’s Disease: Remote Photobiomodulation
4. Discussion
4.1. Principal Findings
4.1.1. Dosimetry, Light Source Characteristics, and Delivery Route: A Revised Framework
4.1.2. Mechanisms of Action: Direct and Indirect Pathways
4.1.3. Wavelength Selection: Beyond the Therapeutic Window
4.2. Device Availability Bias and Its Impact on the Evidence Base
4.3. Lessons from the NEST Acute Ischaemic Stroke Programme: A Cautionary Analysis
4.4. Future Directions: Home Management, Artificial Intelligence and Machine Learning Integration
5. Conclusions
5.1. Condition-Specific Delivery Route Requirements
5.2. Mechanisms: The Penetration Paradox Resolved
5.3. LED Technology: Solving Critical Barriers to Clinical Translation
5.4. Research Priorities
5.5. Limitations of the Study
5.6. Clinical Implications
5.7. Concluding Statement
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| Abbreviation | Definition |
| 40 Hz | Forty hertz (gamma frequency, 40 oscillations per second) |
| 5-HT | Serotonin (5-hydroxytryptamine) |
| 808 nm/810 nm/1064 nm | Wavelength designations in nanometres |
| A2A receptor | Adenosine A2A receptor |
| AD | Alzheimer’s disease |
| ADHD | Attention deficit hyperactivity disorder |
| ADP | Adenosine diphosphate |
| AE | Adverse event |
| AMPK | AMP-activated protein kinase |
| ANS | Autonomic nervous system |
| ASD | Autism spectrum disorder |
| ATP | Adenosine triphosphate |
| Aβ | Amyloid-beta (amyloid beta peptide) |
| BDNF | Brain-derived neurotrophic factor |
| BLaER1 | Bipotential lymphoid and erythroid progenitor cell line 1 (macrophage model) |
| BMI | Body mass index |
| BP | Blood pressure |
| CARS | Childhood Autism Rating Scale |
| CCI | Controlled cortical impact (TBI model) |
| CIU | Cytochrome c oxidase inhibitory unit |
| ClinVar | Clinical variant database (NCBI) |
| CNS | Central nervous system |
| CoBRAS | Cochrane Bias Risk Assessment Scale |
| COX-2 | Cyclooxygenase-2 |
| CTE | Chronic traumatic encephalopathy |
| CW | Continuous wave (laser/LED output mode) |
| CYP450 | Cytochrome P450 enzyme family |
| DA | Dopamine |
| DAD | Disability Assessment for Dementia scale |
| DB-RCT | Double-blind randomised controlled trial |
| DLPFC | Dorsolateral prefrontal cortex |
| DMN | Default mode network |
| DNA | Deoxyribonucleic acid |
| DOPAC | Dihydroxyphenylacetic acid (dopamine metabolite) |
| DRS | Dementia Rating Scale |
| EEG | Electroencephalography |
| EMG | Electromyography |
| ETC | Electron transport chain |
| fMRI | Functional magnetic resonance imaging |
| FNIRS/fNIRS | Functional near-infrared spectroscopy |
| GABA | Gamma-aminobutyric acid |
| GFR | Glomerular filtration rate |
| GI | Gastrointestinal |
| GRADE | Grading of Recommendations, Assessment, Development and Evaluations |
| GSH | Glutathione (reduced form) |
| H2O2 | Hydrogen peroxide |
| HAMA | Hamilton Anxiety Rating Scale |
| HAMD | Hamilton Depression Rating Scale |
| HPA axis | Hypothalamic-pituitary-adrenal axis |
| HR | Heart rate |
| HRV | Heart rate variability |
| HSP | Heat shock protein |
| ILIB | Intravascular laser irradiation of blood |
| IL-1β | Interleukin-1 beta |
| IL-6 | Interleukin-6 |
| IL-10 | Interleukin-10 |
| IN | intra-nasal (delivery route) |
| iNOS | Inducible nitric oxide synthase |
| IR | Infrared |
| ITT | Intention-to-treat (analysis) |
| J/cm2 | Joules per square centimetre (fluence/radiant exposure) |
| kHz | Kilohertz |
| LED | Light-emitting diode |
| LLLT | Low-level laser therapy (older terminology; now superseded by PBM) |
| LLLT/PBMT | Low-level laser therapy/photobiomodulation therapy (used interchangeably in older literature) |
| LPS | Lipopolysaccharide |
| LTP | Long-term potentiation |
| mA | Milliampere |
| MAPT | Microtubule-associated protein tau |
| MCI | Mild cognitive impairment |
| MDS-UPDRS | Movement Disorder Society—Unified Parkinson’s Disease Rating Scale |
| MFB | Medial forebrain bundle |
| MI | Myocardial infarction |
| MMSE | Mini-Mental State Examination |
| MoCA | Montreal Cognitive Assessment |
| MoCA-B | MoCA—Basic version |
| MPT | Mitochondrial permeability transition |
| MRI | Magnetic resonance imaging |
| mRNA | Messenger ribonucleic acid |
| mRS | Modified Rankin Scale |
| mTOR | Mechanistic target of rapamycin |
| mW | Milliwatt |
| mW/cm2 | Milliwatts per square centimetre (irradiance/power density) |
| NADH | Nicotinamide adenine dinucleotide (reduced form) |
| NEST | NeuroThera Effectiveness and Safety Trials (stroke PBM trials) |
| NF-κB | Nuclear factor kappa-light-chain-enhancer of activated B cells |
| NGF | Nerve growth factor |
| NIHSS | National Institutes of Health Stroke Scale |
| NIR | Near-infrared (light, typically 700–1100 nm) |
| nm | Nanometre (unit of wavelength) |
| nNOS | Neuronal nitric oxide synthase |
| NO | Nitric oxide |
| NOS | Nitric oxide synthase |
| Nrf2 | Nuclear factor erythroid 2-related factor 2 |
| NTRK2 | Neurotrophic receptor tyrosine kinase 2 (TrkB receptor gene) |
| OB | Olfactory bulb |
| PBM | Photobiomodulation |
| PBMT | Photobiomodulation therapy |
| PD | Parkinson’s disease |
| PET | Positron emission tomography |
| PRISMA | Preferred Reporting Items for Systematic Reviews and Meta-Analyses |
| RCT | Randomised controlled trial |
| RoB | Risk of bias |
| ROS | Reactive oxygen species |
| SB-RCT | Single-blind randomised controlled trial |
| SCD | Subjective cognitive decline |
| SCI | Spinal cord injury |
| SCOPA-AUT | Scales for Outcomes in Parkinson’s Disease—Autonomic |
| SNpc | Substantia nigra pars compacta |
| SOD | Superoxide dismutase |
| SPECT | Single-photon emission computed tomography |
| STAT3 | Signal transducer and activator of transcription 3 |
| tBI | Traumatic brain injury (note: TBI used throughout this review) |
| TBI | Traumatic brain injury |
| TC | trans-cranial (delivery route) |
| TDP-43 | TAR DNA-binding protein 43 |
| TGF-β | Transforming growth factor beta |
| TLR4 | Toll-like receptor 4 |
| TNF-α | Tumour necrosis factor alpha |
| tPBM | trans-cranial photobiomodulation |
| TRP | Transient receptor potential (ion channel family) |
| UPDRS | Unified Parkinson’s Disease Rating Scale |
| VEGF | Vascular endothelial growth factor |
| VF | Verbal fluency |
| VieLight/Vielight | Commercial PBM device manufacturer (VieLight Inc., Canada) |
| WAIS | Wechsler Adult Intelligence Scale |
| WM | Working memory |
| α-syn | Alpha-synuclein (SNCA gene product; key PD pathology) |
| β-amyloid | Beta-amyloid (see Aβ) |
| λ | Lambda (wavelength symbol; used throughout for light wavelength in nm) |
| μW | Microwatt |
| μW/cm2 | Microwatts per square centimetre |
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| Condition | Studies (n) | Total N | RCTs | Delivery Routes | Wavelengths (nm) |
|---|---|---|---|---|---|
| Acute Stroke | 5 | 1410 | 3 | Trans-cranial TC (4) ILIB (1) | 632, 808, 810 |
| Alzheimer’s Disease | 10 | 292 | 7 | TC laser (1) TC LED + eye (1) TC LED (3) IN (2); Open TC (1); Mixed (2) | 630, 650, 810, 850, 1060–1080, 1064 |
| Parkinson’s Disease | 5 | 175 | 4 | Trans-cranial (4); Multi-route (1) | 635, 670, 810 |
| Traumatic Brain Injury | 4 | 29 | 0 | Trans-cranial (3); TC + IN (1) | 633, 810, 870 |
| Other CNS * | 4 | 121 | 1 | Trans-cranial (2); TC + IN (1); Remote (1) | 810, 1064, multi-λ |
| TOTAL | 27 | ~2244 | 15 |
| Domain | Low Risk n (%) | Some Concerns n (%) | High Risk n (%) |
|---|---|---|---|
| Randomization process | 11 (73%) | 3 (20%) | 1 (7%) |
| Deviations from interventions | 9 (60%) | 4 (27%) | 2 (13%) |
| Missing outcome data | 9 (60%) | 4 (27%) | 2 (13%) |
| Measurement of outcome | 6 (40%) | 8 (53%) | 1 (7%) |
| Selection of reported results | 13 (87%) | 2 (13%) | 0 (0%) |
| Overall risk of bias | 5 (33%) | 6 (40%) | 4 (27%) |
| Condition | Intervention | Outcome | Studies Effect | Certainty |
|---|---|---|---|---|
| Alzheimer’s | High-irradiance PBM | Cognition/Function 5 | Beneficial | ⊕⊕⊕○ Moderate |
| Alzheimer’s | Low-irradiance LED | Cognition 2 | No benefit | ⊕⊕○○ LOW |
| Parkinson’s | Trans-cranial PBM | Motor function 5 | Mixed results | ⊕⊕○○ LOW |
| Stroke (acute) | 808 nm trans-cranial | Functional outcome 3 | No benefit | ⊕⊕⊕⊕ HIGH |
| TBI | Trans-cranial PBM | Cognition 4 | Positive | ⊕○○○ Very low |
| Stroke (chronic) | LED trans-cranial | Aphasia/naming 2 | Positive | ⊕○○○ Very low |
| ADHD | 1064 nm TC laser | Working memory 1 | Positive | ⊕○○○ Very low |
| ASD | TC + IN LED 810 nm | ASD severity (CARS) 1 | Positive | ⊕○○○ Very low |
| Study (Year) | Condition | Design | Source | λ (nm) | Irradiance (mW/cm2) | Delivery Route | Outcome |
| ALZHEIMER’S DISEASE/DEMENTIA/MCI (n = 10 studies, ~292 participants) | |||||||
| Kheradmand et al. 2022 [74] | AD/dementia | DB RCT n = 32 | Laser | 630 + 808 nm | 90 | Trans-cranial | Positive |
| Razzaghi et al. 2024 [78] | AD/MCI | SB RCT n = 13 | LED | 810 nm (40 Hz) | 150 | Trans-cranial | Positive |
| Nizamutdinov et al. 2021 [75] | Dementia | DB RCT n = 57 | LED | 810 nm | 23.1 | Trans-cranial | Positive |
| Chan et al. 2019 [77] | MCI | SB RCT n = 18 | Laser | 810 nm CW | 20 | Trans-cranial | Positive |
| Chen et al. 2023 [76] | AD (mild-mod) | Open RCT n = 20 | LED | 1060–1080 + 800–820 nm | NR | Trans-cranial | Positive |
| Nagy & Elsayed 2021 [88] | MCI + AD + anaemia | RCT n = 60 | Laser | 650 nm | NR (watch) | Wrist (vascular) | Positive |
| Saltmarche et al. 2017 [89] | Dementia (mod-sev) | Case series n = 5 | LED | 810 nm | ~20–25 | Trans-cranial + intra-nasal | Positive |
| Chao 2019 [92] | Dementia | Pilot case series n = 8 | LED | 810 nm | ~10 | Trans-cranial + intra-nasal | Positive |
| Jarrahi et al. 2025 [90] | AD/dementia (mild-mod) | DB RCT n = 30 | LED | NR | 9.6 | Trans-cranial | Negative |
| Blivet et al. 2022 [91] | AD (mild-mod) | DB RCT n = 53 | LED | 630 + 850 nm | NR (<20) | Trans-cranial + abdominal | Negative |
| PARKINSON’S DISEASE (n = 5 studies, ~175 participants) | |||||||
| Herkes et al. 2023 (Lancet) [82] | PD | Phase 2 RCT n = 40 | LED | 635 + 810 nm | NR | Trans-cranial + abdominal | Positive |
| Liebert et al. 2024 [83] | PD | 5-yr follow-up n = 6 | LED | 810 nm | NR | Trans-cranial + intra-nasal | Positive |
| Peci et al. 2023 [84] | PD | RCT n = 38 | LED | 810 nm | NR | Trans-cranial | Positive |
| Santos et al. 2019 [85] | PD | Sham-RCT n = 35 | LED | 670 nm | NR | Trans-cranial | Positive |
| Bullock-Saxton et al. 2021 [86] | PD | Controlled feasibility | LED | NR | NR | Trans-cranial + intraoral | Negative |
| Liebert et al. 2022 [99] | PD (remote only) | Controlled n = 7 | LED | 810 nm | NR | Remote (abdomen + neck) | Positive |
| ACUTE ISCHAEMIC STROKE (n = 5 studies, ~1411 participants) | |||||||
| Lampl et al. 2007 (NEST-1) [52] | Acute ischaemic stroke | RCT n = 120 | Laser | 808 nm | 700–1400 * | Trans-cranial | Positive (p = 0.035) |
| Zivin et al. 2009 (NEST-2) [53] | Acute ischaemic stroke | RCT n = 660 | Laser | 808 nm | 700–1400 * | Trans-cranial | Negative |
| Hacke et al. 2014 (NEST-3) [55] | Acute ischaemic stroke | Phase 3 RCT n = 630 | Laser | 808 nm | 700–1400 * | Trans-cranial | Negative (terminated) |
| Naeser et al. 2020 [80] | Stroke aphasia (chronic) | Case series n = 6 | LED | 633 + 870 nm | 22.2 | Trans-cranial | Positive |
| Estrada-Rojas et al. 2023 [81] | Stroke aphasia (chronic) | Case report n = 1 | LED | NR | NR | Trans-cranial | Positive |
| TRAUMATIC BRAIN INJURY (n = 3 studies, ~24 participants) | |||||||
| Naeser et al. 2014/2016 [94,95] | Chronic mild TBI | Open series n = 11 | LED | 633 + 870 nm | 22.2 | Trans-cranial | Positive |
| Bogdanova et al. 2014 [97] | Moderate TBI | Case series n = 2 | LED | 633 + 870 nm | 22.2 | Trans-cranial | Positive |
| Hipskind et al. 2019 [93] | Chronic TBI | Open series n = 12 | LED | 633 + 870 nm | 22.2 | Trans-cranial | Positive |
| OTHER CNS CONDITIONS (n = 4 studies) | |||||||
| Pallanti et al. 2022 [100] | Autism spectrum disorder | Retrospective n = 21 | LED | 810 nm (10 + 40 Hz) | NR | Trans-cranial + intra-nasal | Positive |
| Lai et al. 2025 [98] | ADHD | Cohort n = 48 | Laser | 1064 nm | 250 | Trans-cranial (DLPFC) | Positive |
| Powner & Jeffery 2024 [110] | Metabolic (remote) | RCT crossover n = volunteers | LED | 670 nm | 40 | Remote (back) | Positive |
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Cronshaw, M.; Parker, S.; Lynch, E.; Dixon, W.; Hing, A.K.; Grootveld, M. Photobiomodulation Therapy and Central Nervous System Disorders: A Systematic Review of Delivery Routes, Mechanisms, Parameters and Clinical Evidence. Photonics 2026, 13, 488. https://doi.org/10.3390/photonics13050488
Cronshaw M, Parker S, Lynch E, Dixon W, Hing AK, Grootveld M. Photobiomodulation Therapy and Central Nervous System Disorders: A Systematic Review of Delivery Routes, Mechanisms, Parameters and Clinical Evidence. Photonics. 2026; 13(5):488. https://doi.org/10.3390/photonics13050488
Chicago/Turabian StyleCronshaw, Mark, Steven Parker, Edward Lynch, Will Dixon, Alan Kwong Hing, and Martin Grootveld. 2026. "Photobiomodulation Therapy and Central Nervous System Disorders: A Systematic Review of Delivery Routes, Mechanisms, Parameters and Clinical Evidence" Photonics 13, no. 5: 488. https://doi.org/10.3390/photonics13050488
APA StyleCronshaw, M., Parker, S., Lynch, E., Dixon, W., Hing, A. K., & Grootveld, M. (2026). Photobiomodulation Therapy and Central Nervous System Disorders: A Systematic Review of Delivery Routes, Mechanisms, Parameters and Clinical Evidence. Photonics, 13(5), 488. https://doi.org/10.3390/photonics13050488

