Programme

Organisers: Jessica Caterson, Javier Fumanal-Idocin, Mohammadreza Jamalifard, Javier Andreu-Perez

Duration: 2 hours

Summary: This workshop aims to introduce the fNIRS community to the foundations of ex-fuzzy through hands-on exercises. It is recommended for those interested in using Machine Learning in their fNIRS research. Traditional Machine Learning and Deep Learning methods in neuroscience often face challenges for fNIRS analysis, as these models were designed for predictive outputs rather than analytical insights. Many fNIRS research applications, including those in neurodevelopmental cognitive neuroscience, healthcare, neuroergonomics and HCI, require accountable analysis, which current models do not provide without post hoc interpretation—a process that often results in coarse estimations. Interpretable symbolic models offer a new analytics paradigm5, enabling explicit traceability from data to outputs, incorporating underlying functional connectomes or logical statements that drive predictions.
Participants will also have the opportunity to discuss their data with the teaching staff, provided the data is formatted for use in Python in vectorial format.

Participant requirements: participants should bring a laptop

Organisers: Carly Anderson, Dwaynica Greaves, Isla Jones, Natalie Gunasekara, Mahipal Choudhary

Duration: 1 hour

Summary: Hair-based exclusion in fNIRS research contributes to the underrepresentation of individuals with textured hair and protective styles - an issue that leads to biased datasets and maintains marginalization of global majority ethnic groups.
This workshop centres on the lived experiences of underrepresented individuals with textured hair (hair with loose-to-tight curl patterns) in fNIRS studies. It focusses on building more inclusive fNIRS practices by drawing on recent survey findings, in-lab fNIRS testing, and consultations with an experienced hair professional who specialises in textured hair.
This hands-on session will introduce researchers to practical, inclusive approaches for improving hair preparation and management of textured hair in fNIRS studies. Attendees will gain practical experience in optode placement on diverse hair types using textured-hair training heads. Attendees will also have the opportunity to help shape emerging community-driven guidelines for researchers, designed to reduce hair-related bias and support more ethical and equitable fNIRS research in the UK.

Participant requirements: none

Organisers: Eike Middell, Alexander von Lühmann, David Boas

Duration: 4 hours

Summary: Discover Cedalion, an open-source Python toolbox for multimodal fNIRS and DOT analysis that the community can expand collaboratively. This hands-on tutorial introduces Cedalion's growing functionality that aims to integrate core features of HOMER3 and AtlasViewer for fNIRS data analysis and image reconstruction while tapping into the rich Python ecosystem of modern tools for data analysis, machine learning, and multimodal integration.
Participants will learn to utilize Cedalion for channel and image-space analysis, encompassing preprocessing, general linear model (GLM) analysis, optode co-registration, and DOT image reconstruction. By the end of the workshop, participants will also have learned how to construct custom script-based analysis pipelines and how to leverage Cedalion for single-trial analysis and machine learning on fNIRS data.

Participant requirements: participants should bring a laptop and have some familiarity with Python

Organisers: Adam Eggebrecht, Emma Speh, Ari Segel

Duration: 4 hours

Summary: This course will teach modeling and processing approaches for using diffuse optical methods for mapping brain function in humans. This includes temporal data processing, data-anatomy registration and modeling, and image reconstruction using the NeuroDOT software package. This course will use a combination of instructor lecturing and hands-on exercises using publicly available high-fidelity data to teach both conceptual and practical aspects of fNIRS imaging using the NeuroDOT software package and Optical-imaging XNAT-enabled Informatics (OXI). Attendees will learn and develop skills using NeuroDOT pipelines including data pre-processing, anatomical light modeling, and image reconstruction. All the training will be centered upon providing knowledge, training and tools for volumetric imaging of functional brain activations based on contrasts of hemoglobin concentration as measured using fNIRS data. The class will review the basic physics and biology of the approach, step through how the software works locally and on the cloud, and train attendees to use the software through exercises. More information about NeuroDOT is available at https://www.nitrc.org/projects/neurodot.

Participant requirements: participants should bring a laptop and have some familiarity with MATLAB

Organisers: Aleksandra Landowska, Virginia Portillo

Duration: 2 hours

Summary: AI is transforming the analysis of brain data in fNIRS and BCI research - but with this comes new ethical challenges. How do we ensure that AI-driven neurotechnology respects privacy, promotes transparency, and remains trustworthy? This interactive workshop will introduce the fNIRS community to Responsible Innovation (RI) principles and practice through the use of a high-level tool: Responsible Innovation Prompts and Practice Cards (inspired on the AREA Plus framework). Participants will reflect on ethical and societal implications of using AI for brain data and develop practical strategies for responsible innovation implementation. The session will inspire the community to think critically about these urgent issues and foster a culture of ethical and RI practice in AI-driven neurotechnology.

Participant requirements: none

Organisers: Kristoffer Dahlslätt, Lucija Nincevic

Duration: 1 hour

Summary: Join us for a hands-on workshop on the Brite Ultra, the only mass fNIRS hyperscanning system in the world capable of measuring up to 30 participants simultaneously within the same environment.
Artinis is an innovative Dutch company that develops user-friendly, high-tech, and top-quality functional near-infrared (fNIRS), ExG (EEG and EMG) devices and integrated multimodal solutions (i.e., fNIRS-EEG). Coming from the research field ourselves, we cooperate with scientists from various institutes around the globe. We provide different NIRS, EEG and EMG systems for subjects of all ages to measure brain and muscle activity non-invasively. In this workshop, you will: gain an overview of fNIRS technology and its research applications; learn about the capabilities and setup of the Brite Ultra system; explore experimental design and data analysis methods; participate in a hands-on session with our system.
This is an excellent opportunity for researchers and students to experience our latest technological advancements firsthand.

Participant requirements: participants are encouraged to bring a laptop or tablet

Organisers: Marion Vincent, Steven Clifford

Duration: 1 hour

Summary: In this workshop, we introduce a practical approach to SPA-fNIRS acquisition using the MedelOpt fNIRS headset and BIOPAC System AcqKnowledge software. The session focuses on recording both cerebral hemodynamics and peripheral physiological signals (e.g., heart rate, respiration, accelerometer) to enhance signal interpretation through synchronized multimodal measurement.
In the first part, we demonstrate how to prepare a subject using the MedelOpt headset, integrate physiological sensors, and manage synchronization across multiple signals within AcqKnowledge. We also introduce MeMoSoft, the MedelOpt Montage Software, which enables fast and flexible sensor placement based on the 10-20 system. By standardizing and saving montages, MeMoSoft enhances reproducibility across participants and sessions, removing the trial-and-error typical of traditional caps.
In the second part, participants will get hands-on experience with the MedelOpt system and Acqknowledge, taking turns to operate the headset, record data, and explore signal visualization and parameter extraction directly in the software.

Participant requirements: none

Organisers: Paweł Augustynowicz, Dariusz Zapała, Robert Kwaśniak

Duration: 1 hour

Summary: The workshop provides an intensive one-hour workshop that offers a concise introduction to Diffuse Optical Tomography Functional Near-Infrared Spectroscopy (DOT-fNIRS) research, covering the entire workflow within the Cortivision ecosystem. Content includes fundamental DOT-fNIRS principles, its advantages, and limitations. Participants will learn about custom cap design, ROI selection, optode montage, and data analysis.
The objective is to provide a practical overview of the DOT-fNIRS research pipeline from start to finish through expert-led demonstrations and a concise Q&A. Attendees will see how to define optode positions with a custom cap builder and record signals in CortiView 2 software. This involves setting up equipment, preparing participants (including hair management and motion mitigation), and conducting real-time signal quality checks. Subsequently, participants will learn how to pre-process and analyse results in CortiPrism software, covering all steps of preprocessing and statistical analysis.

Participant requirements: participants are encouraged to bring a laptop with Windows 11

Organiser: Mustafa Hamada

Duration: 1 hour

Summary: This interactive session focuses on live demonstrations of Mendi's consumer neurotechnology for brain training and research. First, we'll showcase the current Mendi headset hardware in action. Next, we'll demo the NeuroSight prototype for data recording, labeling, and export—showing how a consumer device can serve as a rigorous research tool. Then, participants will see real-time data streaming, including multi-device streaming via a BLE interface. Finally, attendees will apply these methods hands-on in small groups. By the end, you'll know how to integrate Mendi hardware and software into your fNIRS workflows.

Participant requirements: some familiarity with Python (or C++) would be preferable

Organiser: Mahipal Choudhary, Giovanni Hering

Duration: 1 hour

Summary: High-density (HD) arrays unlock the full potential of fNIRS—delivering enhanced spatial resolution, greater sensitivity, and accurate localization. Sparse channel arrangements often miss key activation areas or average signals from multiple regions, whereas HD fNIRS provides more precise mapping through increased channel density and spatial diversity. The NIRSport2 takes this further, offering a user-friendly, high-density solution without compromising fast and easy setup. With seamless integration of both 30mm standard and HD configurations, the NIRSport2 enables researchers to switch or transition effortlessly—without additional hardware or software.

Participant requirements: participants should have prior fNIRS data acquisition experience

• Welcome
• Opening keynotes:
  • Dr. Silvia Benavides-Varela (The Origins of Memory: signatures of retention and consolidation in the newborn brain)
  • Prof. Hamid Dehghani (Flux Capacitors and fNIRS: Lighting the Way Back to the Future)

Posters for the Thursday session with POSTER BOARD NUMBERS:

01Brain Synchronization During Natural Story Listening Insights from fNIRS and Inter-Subject Correlation
Mica Pec, Sebastian Puschmann and Christiane Thiel

02Understanding changes in visual working memory across early development using fNIRS
Stacey Shulberg, John P. Spencer and Eleanor Johns

03Multimodal fNIRS-EEG Sensor Fusion: Review and Comparison of Source Decomposition Methods With a Perspective on Naturalistic Brain Imaging
Tomas Codina, Alexander von Lühmann and Benjamin Blankertz

04Early Alterations in Auditory-Evoked Brain Metabolism in a Newborn with Congenital CMV: A bNIRS Case Comparison
Maheen Siddiqui, Kelly Harvey-Jones, Balpreet Malli, Mollie Huggins, Julia Foucault, Ilias Tachtsidis and Subhabrata Mitra

05Done by Mirrors: Body Perception and Prefrontal Activity During Mirror Exposure
Joanna Zielińska and Mateusz Hadamczyk

06From Books to Brain: Dialogic Reading Enhances Infant Neural Prediction
Shinmin Wang, Sia Ming Yean, Chen Yingyu, Lu Chia-Feng and Tzeng Ovid J.L.

07A Multimodal GLM Pipeline for fNIRS: Integrating Eye Tracking and Facial Action Units
Octavia Leahy, Xian Zhang, Adam Noah, Emily Kontaris, Natalie Gunasekara, Uzair Hakim, Ilias Tachtsidis and Joy Hirsch

08How do Socio-Economic Differences Impact Visual Working Memory During Early Development: An fNIRS Analysis.
Brooke Graham, Eleanor Johns and John Spencer

09Analysing fNIRS Connectivity with Causal Graphical Models
Anish Rai and Samuel Montero-Hernandez

10Probe position detection from MPRAGE-based 3D head model in simultaneous fNIRS-fMRI measurements
Assunta Ciarlo, Michael Lührs, Stephanie Balters, Sophie Raible, Allan Reiss and Rainer Goebel

11Predictive Role of Maternal Sensitivity in Infants' Neural Response to Social Touch
Isabella Francischelli, Livia Campos, Camila Ribeiro, Sergio Novi, Rogerio de Oliveira, Vera Mateus, Rickson Mesquita, Aline Lando and Ana Osorio

12Assessing Suitable fNIRS Hyperscanning Paradigms in a Naturalistic Classroom Laboratory
Brandon O'Hanlon, Barrie Usherwood, Liam Howard, Steph Ainsworth and Hannah Stewart

13Maternal Affectionate Touch Predicts Infant's Neural Response to Social Touch
Livia Campos, Sergio Novi, Rogerio de Oliveira, Rickson Mesquita, Valentina Gomes, Beatriz Pacheco, Camila Ribeiro, Isabella Francischelli, Borja Blanco, Sarah Lloyd-Fox and Ana Osorio

14Mutual prediction under virtual communication: an fNIRS hyperscanning study.
Ziyun Zhang, Cian Xu, Carolyn McGettigan and Antonia Hamilton

15Transfer Learning for FD-DOS Static Optical Properties Estimation
Ben Fry and Rickson Mesquita

16Behavioural and neural mechanisms of collaboration between four- to six-year-olds and their mothers
Victoria St. Clair, Paola Pinti, Ori Ossmy and Denis Mareschal

17Investigating Stress Response via a Multimodal fNIRS Framework
Natalie Gunasekara, Antonia Hamilton and Ilias Tachtsidis

18Enhancing fNIRS Signal Quality in Stress Research: Integration of Systemic Measures and Short-Channel Regression
Natalie Gunasekara, Andrew Levy and Ilias Tachtsidis

19Effects of Illuminance and Environmental Complexity on Cognitive Load During Walking in Young, Older, and Autistic Adults
Chia May Teh, Victoria Sauter, Navaz Davoudian and Antonia Hamilton

20fNIRS and TMS-Based Evidence of rTMS in Disrupting Connectivity to Enhance Motor Recovery in People with Stroke: A Randomized Controlled Trial
Siqi Yang, Jie Liu, Fen Zhang, Jixian Wang and Qing Xie

21The Effect of Other Adults on Mother-Toddler Neural Synchrony during Collaboration
Rebecca Terry, Paola Pinti and Denis Mareschal

22Transferring knowledge from foundation models to fNIRS
Yujie Yao, Johann Benerradi and Jeremie Clos

23Investigating haemoglobin concentrations as indicators of cerebral blood flow during REM sleep using a combined fNIRS-EEG approach
Radost Dimitrova, Marta Messina Pineda, Mojtaba Soltanlou, Elizaveta Ivanova, Derk-Jan Dijk, Ines R. Violante and Valeria Jaramillo

24Uncovering Cognitive Processes in Exploratory Search: An fNIRS Study of Cognitive Style in the Post-Focus Stage
Huimin Tang, Boon-Giin Lee, Dave Towey, Max L. Wilson and Matthew Pike

25Concussion Risk Prediction for Rugby Players with Explainable Fuzzy Logic-based AI
Davide Ciraolo, Benjamin Jones and Javier Andreu-Perez

26Infant Brain Responses to Multimodal Emotional Congruency: An fNIRS Study
Chuchu Jia

27Maternal Anxiety and Depression from Pregnancy to Postpartum: Associations with Infant Functional Brain Connectivity at One Month
Laura Carnevali, Zayna Mian, Borja Blanco, The Pipkin Team, Sarah Lloyd-Fox and Mark Johnson

28Perception of fNIRS and Verbal Fluency Tasks for Dementia Assessments Across Language Backgrounds
Caitlin Illingworth, Mohamed Mohamed, Mian Kou, Li Su, Mahnaz Arvaneh and Daniel Blackburn

29Subject registration is crucial for infant fNIRS & HD-DOT: An evaluation across 82 newborns
Guy A. Perkins, Ana Fló, Emma Visibelli, Esma Nur Doganbas-Daskin and Silvia Benavides-Varela

30Introducing Fuzzy GLM: Improving fNIRS Signal Modelling in Cognitive Tasks Using Fuzzy Weighting
Mohammadreza Jamalifard, Benjamin Jones and Javier Andreu-Perez

31Early Roots of Sensorimotor Integration: a fNIRS paradigm from adults to infants
Barbara Italia, Karol Poles, Giulia Anilia Gambaretti, Federico Cadoni, Alice Rossi Sebastiano, Chiara Bulgarelli and Francesca Garbarini

32Investigating and addressing racial and ethnic inequalities in fNIRS practices in the UK
Dwaynica Greaves, Isla Jones, Natalie Gunasekara and Carly Anderson

33Optimising the processing pipeline in fNIRS
Robert Ward, Gustavo Rodríguez-Gómez and Felipe Orihuela-Espina

34Shining a light on the impact of tiredness on word learning and its neural correlates in infancy.
Giulia D'Avino, Lauryn Clucas, Lucy Edgar and Samuel Forbes

35fNIRS detects brain hemodynamics in patients with PDCD
Kosar Khaksari, Melissa Greco, Jirair Bedoyan and Andrea Gropman

36A Demonstrator of Human-Centred Adaptive Multi-Agent Robotics Using Multimodal Physiological Sensing
Aleksandra Landowska

37Biomechanically Adjusted Neurovascular Function Assessment (BANFA): Initial Results
Elaine Keegan, Louise Newman, Silvin Knight, Jonathan Acheson, Dewar Finlay and John O'Connor

• More details here

• Keynote:
  • Dr. Frédéric Lange
• Talks:
  • Neuroimaging combining high-density diffuse optical tomography and functional ultrasound for whole brain connectivity imaging in the neonate
    Flora Faure, Julie Uchitel, Andrea Edwards, Kelly Pammenter, Katharine Lee, Samuel Powell, Robert Cooper, Topun Austin and Charlie Demené
  • CoMind R1: Time-of-Flight-Resolved Interferometric Monitoring of Cerebral Blood Flow
    Veronika Parfentyeva, Anurag Behera, Octave Etard, Alexandra Tran-Van-Minh, Stella Avtzi, Tanvi Tambe, Ali Mehmed, Artur Isufaj, Jan Goodrich, Youssef Ibrahim, Navjit Singh, Saeed Darabi, Pablo Villar Sanjurjo, Taimoor Ali, Yoojin Kim, Simone Sturniolo, Alexander Ruesch, Dominic Hill, Amir Salehi Lashkajani, Matt Thackrah, Dawid Borycki, Chloe Maine, Tanja Dragojevic, Claus Lindner and Robert J. Cooper
  • Single-shot visual semantic classification with commercial TD-fNIRS
    Oliver Neill, Kristoffer Scott, Yingying Huang, Musa Talati, Jack Radford, Lucy Petro, Lars Muckli and Daniele Faccio

• Keynote:
  • Dr. Meryem Yücel (Neuroimaging with fNIRS: Standardization, Open Science and Inclusivity)
• Talks:
  • Neuroscience of mathematics learning in children - Application of fNIRS in South Africa
    Mojtaba Soltanlou, Kathleen Fonseca, Hanrie Bezuidenhout, Parvin Nemati, Ali Rahimpour Jounghani, Hadi Borj Khani and Elizabeth Henning
  • Examining Cross-Task Brain Responses in One-Month-Old Infants across the Gambia and UK: a functional Near-Infrared Spectroscopy Study
    Isobel Greenhalgh, Borja Blanco, Chiara Bulgarelli, Anna Blasi and Sarah Lloyd-Fox
  • Testing Sensory Over-Responsivity in Early Childhood using Integrated fNIRS-Virtual Reality Technology (WIP)
    Farah Ghosn, Vanessa Madeira De Carvalho Da Luz, Sunny Kumar, Paola Pinti and Virginia Carter Leno

Posters for the Friday session with POSTER BOARD NUMBERS:

01Cross-Modal Data Augmentation for fNIRS Neural Decoding Using fMRI-Derived Signals
Shakiba Moradi, Theekshana Dissanayake and Alexander von Lühmann

02Using QT-NIRS for choosing the best motion artefact correction: A how-to guide
Elizaveta Ivanova, Luca Pollonini, Kathleen Fonseca and Mojtaba Soltanlou

03Prefrontal Dynamics Differentiate Performance Decline and Stability During Early Surgical Skill Acquisition
Jessica Caterson, Mary Goble, Virginia Caddick, Zhenchen Lin, Lord Ara Darzi, Felipe Orihuela Espina and Daniel R Leff

04Explainable Multivariate Pattern Analysis of Functional Near Infrared Spectroscopy using Fuzzy Rules Systems
Jessica Caterson, Javier Fumanal Idocin, Felipe Orihuela Espina, Daniel R Leff and Javier Andreu Perez

05Assessing the Impact of Atlas vs Subject-Specific Anatomies on HD-DOT Reconstruction Accuracy in Dementia
Emilia Buters, Liam Collins-Jones, Li Su, John O'Brien and Gemma Bale

06Decreased vasomotor power in Alzheimer's Disease and Mild Cognitive Impairment: insights from HD-DOT
Emilia Butters, Deepshikha Acharya, Li Su, John O'Brien and Gemma Bale

07Towards simultaneous HD-DOT/fMRI measurements of the visual cortex
Sophie Raible, Assunta Ciarlo, Jan W. Kurzawski, Bettina Sorger, Michael Lührs and Rainer Goebel

08Top-down Sensory Prediction in Toddlers' Brain and Language Development
Yingyu Chen and Shinmin Wang

09Tailoring and Validating DOT-Virtual Reality Methods for Use with Neurodiverse Children
Giulia Serino, Siofra Heraty, Silvia Dalvit-Menabe, Samuel Powell, Nicholas Everdell, Nadine Aburumman, Tony Charman, Essi Viding, Antonia Hamilton, Paola Pinti and Chiara Bulgarelli

10Investigating Parent-Child Brain Synchrony under Provocation: Behavioral and Neural Dynamics in an interactive Taylor Aggression Paradigm
Katharina Otten, Lena Mehlem, Emily Volbert and Kerstin Konrad

11The Influence of Bilingualism on Audiovisual Emotion Integration: A Functional Near-Infrared Spectroscopy Study
Hui Zhu, Yixian Wang, Miykael Davis, Mairéad MacSweeney and Carly Anderson

12AI-empowered Wearable High-Density NIRS for Exercise Intensity Evaluation
Jinchen Li, Siana Jones, Alexandra Jamieson, Jianan Chen, Lamis Alghamdi, Ella Chawla, Kianoush Nazarpour, Robert Cooper and Hubin Zhao

13The effect of online learning on teacher-child neural synchrony and learning outcomes
Imogen Green, Paola Pinti and Denis Mareschal

14Let's Learn About Taxation! - A Multimodal Hyperscanning Study of How Children Learn Abstract Financial Concepts in Social Interaction
Gal Rozic, Sara De Felice, Antonia Hamilton and Gabriella Vigliocco

15Intra- and Inter-Day Variability of Haemodynamic and Cytochrome-C-Oxidase Signals in Brain and Skeletal Muscle Using Broadband Near-Infrared Spectroscopy
Jasmine B. Yeh, Samuel J.E Lucas, Gemma Bale and Catarina Rendeiro

16Characterization of Physiological Noise in fNIRS Using Correlation and Time-Lag Analysis Across Cortical Regions
Rikke Rønnow, Natalie Gunasekara and Ilias Tachtsidis

17Connectivity Changes Following Tailored Executive Function Physical Interventions in Children with ADHD
Giulia Serino, Marianna Muszynska, Rosie Dalton, Paola Pinti and Ori Ossmy

18Mathstronauts: A Gamified Approach to Capturing Brain and Behavioural Data Towards Understanding Inhibitory Control in Counterintuitive Maths Reasoning
Rakhi Leela Nair, Manolis Mavrikis, Paola Pinti and Tim Smith

19Measuring the relationship between trait depersonalization and neural responses during a joint-agency task
Dwaynica Greaves, Antonia Hamilton and Anna Ciaunica

20The Influence of Sleep State on Infant Brain Responses to Common Auditory Paradigms: A Two-Cohort fNIRS Study
Maria Rozhko, Merel van der Straaten, Borja Blanco Maniega, Isobel Greenhalgh, Johann Benerradi, Samantha McCann, Ebrima Mbye, Ebou Touray, Romy Sokolow, Sophie E. Moore, Clare E. Elwell, Sarah Lloyd-Fox and Anna Blasi

21Understanding Cognitive Workload in Laparoscopic Appendicectomies: A Load Domain-Based Approach
Virginia Caddick, Aws Almukhtar, Miranda Ramirez, Ara Darzi, Felipe Orihuela-Espina and Daniel Leff

22Cortical Activation During Inclined Treadmill Walking: A Comparative fNIRS Study in Stroke Patients and Healthy Adults
Huixin Yang, Jianan Chen, Jinchen Li, Yunjia Xia and Hubin Zhao

23Scalable FPGA-based Temperature Control of VCSEL Arrays for Wearable High-Density fNIRS/DOT
Qiao He, Yunjia Xia, Xinkai Zhou, Hubin Zhao and Jiang Wu

24Simultaneous fNIRS, BOLD, and CBF Measurements on the Visual Cortex: a feasibility study
Giulia Rocco, Sara Pomante, Elizabeth Fear, Lucie Chalet, Francesca Graziano, Manuela Carriero, David Perpetuini, Cosimo Del Gratta, Mauro Gianni Perrucci, Richard Wise and Antonio Maria Chiarelli

25Translating Spatiotemporal Neuroimaging: DOT-EEG Fusion for Stratified Motor Rehabilitation in Stroke Paralysis
Xianglan Chen, Jianan Chen, Ye Gong and Hubin Zhao

26Driving Fatigue Detection with Wearable Multimodal High-Density Diffuse Optical Tomography-EEG Platform
Lei Lei, Jianan Chen, Yunjia Xia, Kezhi Li, Gang Li and Hubin Zhao

27A Real-time, Wireless Data Communication Platform for Portable FD-NIRS
Xuanyu Liang, Xinkai Zhou and Hubin Zhao

28A Pre-Registered Longitudinal fNIRS Study in Toddlers: Unveiling the Neural Foundations of Numerical Cognition
Irem Melisa Sahiner, Alexandra Grandison, Rocco Chiou and Mojtaba Soltanlou

29Effects of age and schooling on inhibitory control and emotional regulation development: an fNIRS study
Heather Simpson, Josie Booth and Nicolas Chevalier

30Personality Differences Affect Experiences of Mental Workload and Gameplay
Linqi Zhao, Aleksandra Landowska, Johann Benerradi, Horia Maior, Max Wilson and Patrick Dickinson

31Toward Objective Psychometrics: Cortical Markers of Speech-in-Noise Processing in Infancy
Addison Billing, Robert J. Cooper and Deborah Vickers

32A Dual-Channel, Wearable Broadband Near-Infrared Spectroscopy Device for Monitoring Cerebral Heamodynamics and Metabolism
Renas Ercan, Deepshikha Acharya, Chiara Ciccarelli and Gemma Bale

33Understanding Cognitive Goals, Fatigue, and Recovery using Consumer fNIRS
Jwan Shaban, Max L Wilson, Micheal Knierim and Alexander Mädche

34Exploring Delivery-Mode Dependent Inter-Brain Synchrony in Children: A Pilot fNIRS Hyperscanning Study of AI, Robot, and Human Storytelling
Karan Narain, Rahul Preetham Kurumeti, Ami Chopra, Dayal Pyari Srivastava, Wei-Peng Teo, Sandeep Paul and Huzur Saran

35Gender-Aware Considerations in fNIRS Cap Design: A Comparative Simulation Study of Male and Female Head Models
Rikke Rønnow, Uzair Hakim, Xingmin Li and Ilias Tachtsidis

36Use of fNIRS for screening diagnosis of neurodevelopmental disorders in children
Małgorzata Chojak, Adrian Korniluk and Anna Gawron

• Keynote:
  • Dr. Rickson Mesquita (Development pathways to enhancing the clinical impact of NIRS techniques)
• Talks:
  • Mapping visual deficits to haemodynamic changes in Dementia with Lewy Bodies using High-Density Diffuse Optical Tomography
    Emilia Butters, Addison Billing, Liam Collins-Jones, Deepshikha Acharya, Yuki Yamamoto, Elizabeth McKiernan, Axel As Laurell, Audrey Low, Li Su, John O'Brien, Ippeita Dan and Gemma Bale
  • Interpersonal brain coherence in joint attention
    Francesco Di Cio', Jianan Qu and Antonia F. de C. Hamilton
  • Studying the feasibility of High-Density diffuse optical tomography (HD-DOT) for the Early Detection of Dementia
    Kayode Michael Bamimore, Neil White, Christopher Kipps and Ernesto Vidal-Rosas

• Talks:
  • Multimodal Imaging of Somatosensory Processing in Infants
    Maheen Siddiqui, Barbara Italia, Nicolaas Puts, Ilias Tachtsidis and Emily Jh Jones
  • Sleep, tiredness, and working memory dynamics in the infant brain
    Samuel Forbes, Jia Jia and Giulia D'Avino
  • Selective Neural Network Engagement During Laughter Processing Predicts Infant Communication Skills
    Addison Billing, Emilia Butters, Bowen Xiao, Robert J. Cooper, Rebecca P. Lawson and Sophie Scott

• Awards
• Closing remarks