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Supplementary research criteria outlining eligibility, diagnostic classification rules, and exclusion conditions for participants enrolled in a longitudinal neuroimaging study investigating cognitive aging, mild cognitive impairment, and early Alzheimer’s disease.
Year: 2003
Program: Alzheimer’s Disease Neuroimaging Initiative (ADNI)
Type of document: Supplementary research material
Research field: Alzheimer’s disease and neurodegenerative disorders
Study type: Longitudinal neuroimaging and biomarker study
Principal Investigator: Michael W. Weiner, MD
Participant groups: Cognitively normal (CN) participants; Mild cognitive impairment (MCI) participants
Participant age range: 55–90 years
Assessment methods: MRI, PET, biological markers, clinical assessment, neuropsychological testing
Cognitive assessment tools: Mini-Mental State Exam; Clinical Dementia Rating; Logical Memory II subscale of the Wechsler Memory Scale-Revised
Diagnostic focus: Mild cognitive impairment and early Alzheimer’s disease progression
Language requirements for participants: Fluent English or Spanish
Biological sampling: Blood for genomic analysis and biomarkers; cerebrospinal fluid collection via lumbar puncture
Genomic analysis: GWAS sequencing and APOE testing
Medication requirements: Stability of permitted medications and washout from certain psychoactive medications prior to screening
Study participation requirement: Availability of a study partner with regular participant contact
Imaging requirements: Repeated MRI (3T) and at least two PET scans
Education requirement: Minimum six grades of education or adequate work history
Exclusion criteria scope: Neurologic diseases, psychiatric disorders, substance abuse history, MRI contraindications, unstable medical conditions
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Supplementary Table 1. Multiple linear regression models used to explore whether visuomotor performance declines are associated with white matter structural neuroimaging measures.
Year: 2026
Note: Region / City
Topic: Neuroimaging, Visuomotor Performance, White Matter
Document Type: Research Table
Context: A research table analyzing the relationship between visuomotor performance and structural neuroimaging measures using regression models.
Demographic and fMRI-Based Feature Selection Results of Behavioral and Neuroimaging Experiments
Year: 2026
Region / Institution: University research laboratory
Subject Area: Cognitive neuroscience, memory recall, virtual environment studies
Document Type: Supplemental materials
Experiments Included: Behavioral experiment, fMRI experiment
Participants: Young adults, N=70 (behavioral), N=22 (fMRI)
Gender Distribution: Male and Female
Data Collected: Age, presence conditions, recall performance, fMRI voxel patterns
Analysis Methods: RM-ANOVA, MANOVA, SL-MVPA, SVM classification
Experimental Conditions: Single-context, dual-context, high presence, low presence, mental reinstatement
Time Points: T1–T5
Retention Measures: Overnight and one-week recall
Brain Regions Analyzed: Bilateral visual association, fusiform gyrus, parietal regions, left inferior frontal sulcus
Neuroimaging Based Diagnosis of Alzheimer’s Disease Using Privacy-Preserving Machine Learning
Year: 2023
Region / City: Geneva
Document Type: Research Paper
Organization / Institution: ITU-T, Inpher
Authors: Prof. Bogdan Draganski, Dr. Ferath Kherif, Claudio Calvaruso, Dr. Dimitar Jetchev
Target Audience: Researchers, Clinicians, Healthcare Professionals
Period of Validity: 2023-2024
Approval Date: 3-5 July 2023
Date of Changes: N/A
Participant Information Sheet for Neuroimaging Studies with Deaf Participants
Year: 2023
Region / City: London, United Kingdom
Theme: Language Processing, Neuroimaging, Deaf Research
Document Type: Research Consent Form
Institution: University College London (UCL)
Authors: Mairéad MacSweeney, Meaghan Spedden, Samuel Evans, Brennan Terhune-Cotter
Target Audience: Deaf adults, ages 18-65, without cochlear implants
Study Duration: Ongoing
Approval Date: N/A
Date of Last Modification: N/A
Pre-Clinical Neuroimaging Pilot Grant 2026 APPLICATION
Year: 2026
Region / City: Indiana
Theme: Neuroimaging, Neuroscience
Document Type: Application Form
Organization / Institution: Indiana University School of Medicine, Stark Neurosciences Research Institute
Author: Yu-Chien Wu, Julie Driscol
Target Audience: Researchers in neuroscience and neuroimaging
Period of Activity: From: 07/01/2026 To: 06/30/2027
Approval Date: Pending
Budget: $10,000 max
Institutional EIN or DUNS Number: Not provided
Impact of Neuroimaging Modalities and Grading Systems on Prognostic Accuracy for Neurodevelopmental Outcomes in Preterm Infants with Intraventricular Hemorrhage
Year: 2023
Region / City: N/A
Topic: Neuroimaging, Neurodevelopmental Outcomes, Preterm Infants
Document Type: Research Article
Institution: N/A
Author: N/A
Target Audience: Researchers, Pediatric Neurologists, Neonatologists
Period of Validity: N/A
Date of Approval: N/A
Date of Modifications: N/A
Topics: Cognitively ADNI neuroimaging