ArticleNeurophotonics2016
Tutorial on platform for optical topography analysis tools.
Article in Neurophotonics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Neural and Kinematic Characteristics of Reaching in Autistic Children During Movement Observation, Execution, and Synchronization: An fNIRS Study.Brain sciences · 2026Article
- Cortical activation in precision grip and its association with manual dexterity: a foundational fNIRS study.Experimental brain research · 2026Article
- Differences in Executive Functioning Performance and Cortical Activation Between Autistic and Non-Autistic Youth During an fNIRS Flanker Task: A Pilot Study.Brain sciences · 2025Article
- Cortical Representation of Auditory Selective Attention in a Dichotic Listening Task: A Functional Near-Infrared Spectroscopy Study.Brain topography · 2025Article
- Neural Effects of Creative Movement, General Movement, and Sedentary Play Interventions on Interpersonal Synchrony in Children with Autism Spectrum Disorder: A Preliminary fNIRS Study.Brain sciences · 2025Article
- Synchronization of brain activity associated with eye contact: comparison of face-to-face and online communication.Scientific reports · 2025Article
- Functional reorganization of brain regions supporting artificial grammar learning across the first half year of life.PLoS biology · 2024Article
- Article
- Right prefrontal activation associated with deviations from expected lipstick texture assessed with functional near-infrared spectroscopy.Frontiers in neuroergonomics · 2024Article
- Autism-Related Differences in Cortical Activation When Observing, Producing, and Imitating Communicative Gestures: An fNIRS Study.Brain sciences · 2023Article
- Safety and feasibility of transcutaneous vagus nerve stimulation in mild cognitive impairment: VINCI-AD study protocol.BMC neurology · 2023Article
- fNIRS-Based Differences in Cortical Activation during Tool Use, Pantomimed Actions, and Meaningless Actions between Children with and without Autism Spectrum Disorder (ASD).Brain sciences · 2023Article
- Cerebral response to emotional working memory based on vocal cues: an fNIRS study.Frontiers in human neuroscience · 2023Article
- Cortical activation during cooperative joint actions and competition in children with and without an autism spectrum condition (ASC): an fNIRS study.Scientific reports · 2022Article
- Effects of three-dimension movie visual fatigue on cognitive performance and brain activity.Frontiers in human neuroscience · 2022Article
- Looking Back at the Next 40 Years of ASD Neuroscience Research.Journal of autism and developmental disorders · 2021Review
- Movement kinematics and cortical activation in children with and without autism spectrum disorder during sway synchrony tasks: an fNIRS study.Scientific reports · 2021Article
- Working Memory Performance under a Negative Affect Is More Susceptible to Higher Cognitive Workloads with Different Neural Haemodynamic Correlates.Brain sciences · 2021Article
- Bimodal Data Fusion of Simultaneous Measurements of EEG and fNIRS during Lower Limb Movements.Brain sciences · 2021Article
- An analysis framework for the integration of broadband NIRS and EEG to assess neurovascular and neurometabolic coupling.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
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Abstract
Optical topography/functional near-infrared spectroscopy (OT/fNIRS) is a functional imaging technique that noninvasively measures cerebral hemoglobin concentration changes caused by neural activities. The fNIRS method has been extensively implemented to understand the brain activity in many applications, such as neurodisorder diagnosis and treatment, cognitive psychology, and psychiatric status evaluation. To assist users in analyzing fNIRS data with various application purposes, we developed a software called platform for optical topography analysis tools (POTATo). We explain how to handle and analyze fNIRS data in the POTATo package and systematically describe domain preparation, temporal preprocessing, functional signal extraction, statistical analysis, and data/result visualization for a practical example of working memory tasks. This example is expected to give clear insight in analyzing data using POTATo. The results specifically show the activated dorsolateral prefrontal cortex is consistent with previous studies. This emphasizes analysis robustness, which is required for validating decent preprocessing and functional signal interpretation. POTATo also provides a self-developed plug-in feature allowing users to create their own functions and incorporate them with established POTATo functions. With this feature, we continuously encourage users to improve fNIRS analysis methods. We also address the complications and resolving opportunities in signal analysis.
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