ClinicalTrials.gg
RecruitingNCT07720765OCTUpdated Jul 22, 2026

Optical Coherence Tomography in Neurological Practice: Utility and Applicability Across Neurological Diseases (OCt.IN.N)

An observational study in Multiple Sclerosis, Alzheimer Disease and Parkinson Disease, sponsored by IRCCS San Raffaele. Recruiting at 1 site in Italy. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-07-22.

Sponsored by IRCCS San Raffaele · Observational

From the registry’s dates

  • Started Oct 2023; still recruiting 3 years 1 month later.
Study type
Observational
Model
Case-control
Time perspective
Prospective
Enrollment
1,050
Ages
18 Years and older
Sex
All
01

Study summary

OCt.IN.N is a national, monocentric, prospective, observational cohort study evaluating the utility and applicability of Optical Coherence Tomography (OCT) in the diagnostic workup and longitudinal monitoring of neurological diseases.

840 patients with Central Nervous System neurological diseases (Multiple Sclerosis, Alzheimer's disease, Parkinson's disease, migraine/headache) and 210 age-matched healthy controls will undergo OCT examination at baseline and at 6, 12, 18, and 24 months of follow-up at IRCCS San Raffaele Hospital, Milan, Italy.

OCT is a non-invasive, rapid, and reproducible technique that automatically measures the thickness of individual retinal layers. Retinal layer thicknesses and their longitudinal changes will be correlated with established clinical scales, neuroimaging, and biological markers used in routine neurological practice.

Read the detailed description

The retina and optic nerve share the same embryological origins as the central nervous system (CNS). Several neurological diseases - including Multiple Sclerosis (MS), Parkinson's disease (PD), and Alzheimer's disease (AD) - involve the visual system at both pre-chiasmatic (neuro-retina, optic nerve) and post-chiasmatic levels (optic tracts, optic radiations, primary visual cortex).

In MS, optic neuritis is one of the most frequent manifestations and can lead to optic nerve damage with retinal nerve fiber degeneration. In neurodegenerative diseases such as AD and PD, degeneration of retinal ganglion cells has been demonstrated. In AD, longitudinal observational studies have shown accelerated RNFL thinning over time compared to age-matched healthy controls, suggesting that neuro-retinal thinning in neurodegeneration reflects underlying neurodegenerative processes independent of normal aging.

Spectral-domain Optical Coherence Tomography (OCT) is a non-invasive, highly reproducible technique providing automated, high-resolution information on the thickness of individual retinal layers, including the retinal nerve fiber layer (RNFL), the ganglion cell layer (GCL), and the inner plexiform layer (IPL). OCT could represent a reliable, reproducible, and economically accessible tool for the diagnostic workup and monitoring of neurological diseases.

The device used is the Heidelberg SPECTRALIS HRA+OCT (Class IIa CE-marked medical device), operated according to the manufacturer's instructions and indications for use. The device is used according to its approved clinical indication for visualization of the posterior segment of the eye and retinal anatomy measurement.

Study design: monocentric, prospective, observational cohort study. Patients are recruited from the neurology outpatient clinics and inpatient wards of IRCCS San Raffaele Hospital. OCT is performed at baseline (T0) and at follow-up visits at 6, 12, 18, and/or 24 months. Ophthalmological evaluation may be requested at the investigators' discretion to exclude concurrent ocular pathology.

Three age subgroups are analyzed for all disease groups and controls: 20-40 years, 40-60 years, and over 60 years.

Statistical analyses include: descriptive statistics and ANOVA models (or non-parametric tests) for between-group comparisons at baseline; linear mixed-effects models for longitudinal changes over time; generalized estimating equations (GEE) when data from both eyes are considered; Pearson or Spearman correlation analyses between OCT measures and clinical, neuroimaging, and biological markers (EDSS for MS; UPDRS for PD; neuropsychological battery for AD; brain MRI, PET, and CSF biomarkers for migraine/headache).

02

Conditions studied

  • Multiple Sclerosis
  • Alzheimer Disease
  • Parkinson Disease
  • Migraine
  • Headache Disorders

Keywords

  • Optical Coherence Tomography
  • OCT
  • Retinal nerve fiber layer
  • RNFL
  • Ganglion cell layer
  • GCL
  • Multiple Sclerosis
  • Alzheimer's disease
  • Parkinson's disease
  • Migraine
  • Neurodegeneration
  • Neuro-retina
  • Biomarker
03

In context

Multiple Sclerosis

3,264 studies on the registry are indexed under Multiple Sclerosis; 659 are open to participants now.

This study's planned enrollment of 1,050 is above the median of 100 across 970 observational studies indexed under Multiple Sclerosis.

Browse Multiple Sclerosis studies →

Lead sponsor

IRCCS San Raffaele is the lead sponsor of 453 studies on the registry; 234 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Adult patients with a diagnosis of a Central Nervous System neurological disease (Multiple Sclerosis; Alzheimer's disease; Parkinson's disease; migraine/headache) recruited from the neurology outpatient clinics and inpatient wards of IRCCS San Raffaele Hospital, Milan, Italy. Healthy controls recruited primarily from medical students, colleagues, and relatives of patients.

Eligibility criteria

Inclusion Criteria for neurological patients:

  1. Diagnosis of a Central Nervous System neurological disease (inflammatory diseases such as Multiple Sclerosis; neurodegenerative diseases such as Alzheimer's disease and Parkinson's disease; migraine/headache) according to currently accepted diagnostic criteria for each condition.
  2. Age greater than 18 years.
  3. Signed to study participation.
  4. Willingness and ability to undergo all study visits and procedures.

Inclusion Criteria for healthy controls:

  1. Absence of neurological disease.
  2. Age greater than 18 years.
  3. Signed informed consent to study participation.
  4. Willingness and ability to undergo all study visits and procedures.

Exclusion Criteria for neurological patients:

  1. Refusal to participate or withdrawal of informed consent.
  2. Known or confirmed ocular pathology identified during examination (ophthalmological evaluation may be requested at the investigators' discretion).
  3. Inability to understand instructions given by investigators.
  4. Presence of any condition that, in the investigators' opinion, renders the subject unsuitable for the study.
  5. For specific imaging modes using clearly visible light sources (MultiColor, FA, BAF): diagnosis of epilepsy or history of previous epileptic seizures.

Exclusion Criteria for healthy controls:

  1. Refusal to participate or withdrawal of informed consent.
  2. Known or confirmed ocular pathology identified during examination.
  3. Inability to understand instructions given by investigators.
  4. Presence of any condition that, in the investigators' opinion, renders the subject unsuitable for the study.
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Observational model
Case-control
Time perspective
Prospective
Enrollment
1,050 participants (estimated)
Patient registry
No

Groups and cohorts

  • Multiple Sclerosis patients

    210 patients with a diagnosis of Multiple Sclerosis according to current diagnostic criteria, stratified into three age subgroups (20-40, 40-60, and over 60 years, 70 per subgroup). Undergo OCT at baseline and follow-up visits at 6, 12, 18, and/or 24 months, alongside standard clinical assessments including EDSS.

    Device: Optical Coherence Tomography (OCT) - Heidelberg SPECTRALIS HRA+OCT

  • Alzheimer's disease patients

    210 patients with a diagnosis of Alzheimer's disease according to current diagnostic criteria, stratified into three age subgroups (70 per subgroup). Undergo OCT at baseline and follow-up visits alongside standard neuropsychological assessments, brain MRI, PET, and CSF biomarkers as part of routine clinical care.

    Device: Optical Coherence Tomography (OCT) - Heidelberg SPECTRALIS HRA+OCT

  • Parkinson's disease patients

    210 patients with a diagnosis of Parkinson's disease according to current diagnostic criteria, stratified into three age subgroups (70 per subgroup). Undergo OCT at baseline and follow-up visits alongside standard clinical assessments including UPDRS.

    Device: Optical Coherence Tomography (OCT) - Heidelberg SPECTRALIS HRA+OCT

  • Migraine and headache patients

    210 patients with a diagnosis of migraine or headache according to current diagnostic criteria, stratified into three age subgroups (70 per subgroup). Undergo OCT at baseline and follow-up visits alongside standard clinical assessments.

    Device: Optical Coherence Tomography (OCT) - Heidelberg SPECTRALIS HRA+OCT

  • Healthy Controls

    210 healthy subjects without neurological disease, age-matched to patients, stratified into three age subgroups (20-40, 40-60, and over 60 years, 70 per subgroup). Recruited primarily from medical students, colleagues, and relatives of patients. Undergo OCT at baseline and follow-up visits.

    Device: Optical Coherence Tomography (OCT) - Heidelberg SPECTRALIS HRA+OCT

Interventions

  • DeviceOptical Coherence Tomography (OCT) - Heidelberg SPECTRALIS HRA+OCT

    Spectral-domain Optical Coherence Tomography (OCT) performed using the Heidelberg SPECTRALIS HRA+OCT device (Class IIa CE-marked medical device). The procedure is non-invasive: the patient sits in front of the device and is asked to fix a target (light or cross) through a lens. No drugs or contrast agents are administered. OCT automatically acquires images of the macular region (where GCL and IPL are most represented) and the optic nerve head region (where RNFL is most represented), providing automated measurements of the thickness of individual retinal layers. OCT is performed at baseline and at follow-up visits at 6, 12, 18, and/or 24 months. Ophthalmological evaluation may be performed at the investigators' discretion if OCT images, clinical symptoms, or medical history suggest concurrent ocular pathology. Patients with a known diagnosis of epilepsy or history of epileptic seizures will not undergo specific imaging modes using clearly visible light sources (MultiColor, FA, BAF).

06

What researchers measure

Primary outcomes

  1. Annual rate of peripapillary RNFL thinning in patients with Multiple Sclerosis vs healthy controls

    Annualized thinning rate (micrometers per year) of the peripapillary retinal nerve fiber layer (RNFL) measured by OCT in patients with Multiple Sclerosis compared to age-matched healthy controls.

    Time frame: Baseline, 6, 12, 18, and 24 months

  2. Annual rate of peripapillary RNFL thinning in patients with Alzheimer's Disease vs healthy controls

    Annualized thinning rate (micrometers per year) of the peripapillary retinal nerve fiber layer (RNFL) measured by OCT in patients with Alzheimer's Disease compared to age-matched healthy controls.

    Time frame: Baseline, 6, 12, 18, and 24 months

  3. Annual rate of peripapillary RNFL thinning in patients with Parkinson's Disease vs healthy controls

    Annualized thinning rate (micrometers per year) of the peripapillary retinal nerve fiber layer (RNFL) measured by OCT in patients with Parkinson's Disease compared to age-matched healthy controls.

    Time frame: Baseline, 6, 12, 18, and 24 months

  4. Annual rate of macular GCL thinning in patients with Multiple Sclerosis disease vs healthy controls

    Annualized thinning rate (micrometers per year) of the macular ganglion cell layer (GCL) measured by OCT in patients with Multiple Sclerosis compared to age-matched healthy controls

    Time frame: Baseline, 6, 12, 18, and 24 months

  5. Annual rate of macular GCL thinning in patients with Alzheimer's Disease vs healthy controls

    Annualized thinning rate (micrometers per year) of the macular ganglion cell layer (GCL) measured by OCT in patients with Alzheimer's Disease compared to age-matched healthy controls

    Time frame: Baseline, 6, 12, 18, and 24 months

  6. Annual rate of macular GCL thinning in patients with Parkinson's Disease vs healthy controls

    Annualized thinning rate (micrometers per year) of the macular ganglion cell layer (GCL) measured by OCT in patients with Parkinson's Disease compared to age-matched healthy controls

    Time frame: Baseline, 6, 12, 18, and 24 months

  7. Annual rate of macular IPL thinning in patients with Multiple Sclerosis vs healthy controls

    Annualized thinning rate (micrometers per year) of the macular inner plexiform layer (IPL) measured by OCT in patients with Multiple Sclerosis compared to age-matched healthy controls

    Time frame: Baseline, 6, 12, 18, and 24 months

  8. Annual rate of macular IPL thinning in patients with Alzheimer's Disease vs healthy controls

    Annualized thinning rate (micrometers per year) of the macular inner plexiform layer (IPL) measured by OCT in patients with Alzheimer's Disease compared to age-matched healthy controls

    Time frame: Baseline, 6, 12, 18, and 24 months

  9. Annual rate of macular IPL thinning in patients with Parkinson's Disease vs healthy controls

    Annualized thinning rate (micrometers per year) of the macular inner plexiform layer (IPL) measured by OCT in patients with Parkinson's Disease compared to age-matched healthy controls

    Time frame: Baseline, 6, 12, 18, and 24 months

Secondary outcomes

  1. Correlation between RNFL thinning rate and EDSS worsening in Multiple Sclerosis

    Pearson or Spearman correlation between the annualized RNFL thinning rate measured by OCT and worsening on the Expanded Disability Status Scale (EDSS) in patients with Multiple Sclerosis.

    Time frame: Baseline, 6, 12, 18, and 24 months

  2. Correlation between GCL thinning rate and EDSS worsening in Multiple Sclerosis

    Pearson or Spearman correlation between the annualized GCL thinning rate measured by OCT and worsening on the Expanded Disability Status Scale (EDSS) in patients with Multiple Sclerosis.

    Time frame: Baseline, 6, 12, 18, and 24 months

  3. Correlation between IPL thinning rate and EDSS worsening in Multiple Sclerosis

    Pearson or Spearman correlation between the annualized IPL thinning rate measured by OCT and worsening on the Expanded Disability Status Scale (EDSS) in patients with Multiple Sclerosis.

    Time frame: Baseline, 6, 12, 18, and 24 months

  4. Correlation between RNFL thinning rate and UPDRS worsening in Parkinson's disease

    Pearson or Spearman correlation between the annualized RNFL thinning rate measured by OCT and worsening on the Unified Parkinson's Disease Rating Scale (UPDRS) in patients with Parkinson's disease.

    Time frame: Baseline, 6, 12, 18, and 24 months

  5. Correlation between GCL thinning rate and UPDRS worsening in Parkinson's disease

    Pearson or Spearman correlation between the annualized GCL thinning rate measured by OCT and worsening on the Unified Parkinson's Disease Rating Scale (UPDRS) in patients with Parkinson's disease.

    Time frame: Baseline, 6, 12, 18, and 24 months

  6. Correlation between RNFL thinning rate and neuropsychological performance in Alzheimer's disease

    Pearson or Spearman correlation between the annualized RNFL thinning rate measured by OCT and scores on comprehensive neuropsychological assessment in patients with Alzheimer's disease.

    Time frame: Baseline, 6, 12, 18, and 24 months

  7. Correlation between GCL thinning rate and neuropsychological performance in Alzheimer's disease

    Pearson or Spearman correlation between the annualized GCL thinning rate measured by OCT and scores on comprehensive neuropsychological assessment in patients with Alzheimer's disease.

    Time frame: Baseline, 6, 12, 18, and 24 months

  8. Correlation between IPL thinning rate and neuropsychological performance in Alzheimer's disease

    Pearson or Spearman correlation between the annualized IPL thinning rate measured by OCT and scores on comprehensive neuropsychological assessment in patients with Alzheimer's disease.

    Time frame: Baseline, 6, 12, 18, and 24 months

  9. Correlation between RNFL thickness and brain MRI lesion load

    Pearson or Spearman correlation between OCT-derived RNFL tickness and brain MRI parameters (lesion load) used in routine clinical practice for each neurological disease subgroup.

    Time frame: Baseline, 6, 12, 18, and 24 months

  10. Correlation between RNFL thickness and brain MRI cortical atrophy

    Pearson or Spearman correlation between OCT-derived RNFL tickness and brain MRI parameters (cortical atrophy) used in routine clinical practice for each neurological disease subgroup.

    Time frame: Baseline, 6, 12, 18, and 24 months

  11. Correlation between GCL thickness and brain MRI lesion load

    Pearson or Spearman correlation between OCT-derived GCL tickness and brain MRI parameters (lesion load) used in routine clinical practice for each neurological disease subgroup.

    Time frame: Baseline, 6, 12, 18, and 24 months

  12. Correlation between GCL thickness and brain MRI cortical atrophy

    Pearson or Spearman correlation between OCT-derived GCL tickness and brain MRI parameters (cortical atrophy) used in routine clinical practice for each neurological disease subgroup.

    Time frame: Baseline, 6, 12, 18, and 24 months

  13. Correlation between IPL thickness and brain MRI lesion load

    Pearson or Spearman correlation between OCT-derived IPL tickness and brain MRI parameters (lesion load) used in routine clinical practice for each neurological disease subgroup.

    Time frame: Baseline, 6, 12, 18, and 24 months

  14. Correlation between IPL thickness and brain MRI cortical atrophy

    Pearson or Spearman correlation between OCT-derived IPL tickness and brain MRI parameters (cortical atrophy) used in routine clinical practice for each neurological disease subgroup.

    Time frame: Baseline, 6, 12, 18, and 24 months

  15. Correlation between RNFL thickness and PET findings

    Pearson or Spearman correlation between OCT-derived RNFL thickness and brain PET parameters used in routine clinical practice for applicable neurological disease subgroups.

    Time frame: Baseline, 6, 12, 18, and 24 months

  16. Correlation between GCL thickness and PET findings

    Pearson or Spearman correlation between OCT-derived GCL thickness and brain PET parameters used in routine clinical practice for applicable neurological disease subgroups.

    Time frame: Baseline, 6, 12, 18, and 24 months

  17. Correlation between IPL thickness and PET findings

    Pearson or Spearman correlation between OCT-derived IPL thickness and brain PET parameters used in routine clinical practice for applicable neurological disease subgroups.

    Time frame: Baseline, 6, 12, 18, and 24 months

  18. 24. Correlation between RNFL thickness and CSF biomarker (Abeta40)

    Pearson or Spearman correlation between OCT-derived RNFL thickness and CSF biomarkers (Abeta40) in applicable neurological disease subgroups.

    Time frame: Baseline, 6, 12, 18, and 24 months

  19. Correlation between GCL thickness and CSF biomarker (Abeta40)

    Pearson or Spearman correlation between OCT-derived GCL thickness and CSF biomarkers (Abeta40) in applicable neurological disease subgroups.

    Time frame: Baseline, 6, 12, 18, and 24 months

  20. orrelation between IPL thickness and CSF biomarker (Abeta40)

    Pearson or Spearman correlation between OCT-derived IPL thickness and CSF biomarkers (Abeta40) in applicable neurological disease subgroups.

    Time frame: Baseline, 6, 12, 18, and 24 months

  21. Correlation between RNFL thickness and CSF biomarker (Abeta42)

    Pearson or Spearman correlation between OCT-derived RNFL thickness and CSF biomarkers (Abeta42) in applicable neurological disease subgroups.

    Time frame: Baseline, 6, 12, 18, and 24 months

  22. Correlation between GCL thickness and CSF biomarker (Abeta42)

    Pearson or Spearman correlation between OCT-derived GCL thickness and CSF biomarkers (Abeta42) in applicable neurological disease subgroups.

    Time frame: Baseline, 6, 12, 18, and 24 months

  23. Correlation between IPL thickness and CSF biomarker (Abeta42)

    Pearson or Spearman correlation between OCT-derived IPL thickness and CSF biomarkers (Abeta42) in applicable neurological disease subgroups.

    Time frame: Baseline, 6, 12, 18, and 24 months

  24. Correlation between RNFL thickness and CSF biomarkers (pTAU)

    Pearson or Spearman correlation between OCT-derived RNFL thickness and CSF biomarkers (pTAU) in applicable neurological disease subgroups.

    Time frame: Baseline, 6, 12, 18, and 24 months

  25. Correlation between GCL thickness and CSF biomarkers (pTAU)

    Pearson or Spearman correlation between OCT-derived GCL thickness and CSF biomarkers (pTAU) in applicable neurological disease subgroups.

    Time frame: Baseline, 6, 12, 18, and 24 months

  26. Correlation between IPL thickness and CSF biomarkers (pTAU)

    Pearson or Spearman correlation between OCT-derived IPL thickness and CSF biomarkers (pTAU) in applicable neurological disease subgroups.

    Time frame: Baseline, 6, 12, 18, and 24 months

  27. Correlation between RNFL thickness and CSF biomarkers (NfL)

    Pearson or Spearman correlation between OCT-derived RNFL thickness and CSF biomarkers (NfL) in applicable neurological disease subgroups.

    Time frame: Baseline, 6, 12, 18, and 24 months

  28. Correlation between GCL thickness and CSF biomarkers (NfL)

    Pearson or Spearman correlation between OCT-derived GCL thickness and CSF biomarkers (NfL) in applicable neurological disease subgroups.

    Time frame: Baseline, 6, 12, 18, and 24 months

  29. Correlation between IPL thickness and CSF biomarkers (NfL)

    Pearson or Spearman correlation between OCT-derived IPL thickness and CSF biomarkers (NfL) in applicable neurological disease subgroups.

    Time frame: Baseline, 6, 12, 18, and 24 months

07

Study locations

1 of 1 sites recruiting
  • IRCCS Ospedale San Raffaele - Neurology and Neurophysiology Unit
    Milan, Milano 20132, Italy
    Recruiting
    • Federica Agosta, MD · Contactagosta.federica@hsr.it · 0226433051
    • Roberto Santangelo, MD · Contact
    • Massimo Filippi, Prof, MD · Principal investigator
    • Federica Agosta, MD · Sub investigator
    • Roberto Santangelo, MD · Sub investigator
08

References and documents

Individual participant data

Plan to share: Undecided

No publications or documents are linked to this record.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started Oct 2023 (actual). Primary completion is estimated for Apr 2030, 77 months after the start.

Of 334 non-industry observational studies under Multiple Sclerosis, half reached primary completion within 36 months of starting (the median), counting those still running; a quarter within 13 and three quarters within 73. This study's planned 77 months is above that.

Counting every sponsor, half of 425 studies reached it within 41 months; a quarter within 15 and three quarters within 75.

How these figures are worked out, and which studies are left out of them.

Registered
Jul 17, 2026
First posted
Jul 22, 2026
StartActual
Oct 9, 2023
Primary completionEst.
Apr 1, 2030
CompletionEst.
Apr 1, 2031
Last update
Jul 22, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Jul 22, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07720765
Lead sponsor
IRCCS San Raffaele
Responsible party
Prof. Massimo Filippi (Prof, MD, IRCCS San Raffaele) — Principal investigator
First posted
Jul 22, 2026
Start date
Oct 9, 2023
Primary completion
Apr 1, 2030 (estimated)
Completion
Apr 1, 2031 (estimated)
Last update
Jul 22, 2026

Study contacts

Federica Agosta, MD
Contact
agosta.federica@hsr.it
0226433051
Roberto Santangelo, MD
Contact
Massimo Filippi, Prof, MD
principal investigator · IRCCS San Raffaele

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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