Dr. Paola Pinti Profile

Dr. Paola Pinti

Research Associate at Univ College London

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Publications (6)

SPIE Journal Paper | 8 October 2024 Open Access

Ecological functional near-infrared spectroscopy in mobile children: using short separation channels to correct for systemic contamination during naturalistic neuroimaging

Paola Pinti, Larisa Dinu, Tim Smith

NPh, Vol. 11, Issue 04, 045004, (October 2024) https://doi.org/10.1117/12.10.1117/1.NPh.11.4.045004

KEYWORDS: Virtual reality, Brain, Hemodynamics, Near infrared spectroscopy, Head, Neurophotonics, Neuroimaging, Contamination, Anatomy, Tunable filters

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SPIE Journal Paper | 25 September 2023 Open Access

Developing customized NIRS-EEG for infant sleep research: methodological considerations

Louisa Gossé, Paola Pinti, Frank Wiesemann, Clare E. Elwell, Emily J. Jones

NPh, Vol. 10, Issue 03, 035010, (September 2023) https://doi.org/10.1117/12.10.1117/1.NPh.10.3.035010

KEYWORDS: Electroencephalography, Near infrared spectroscopy, Electrodes, Polysomnography, Neurophotonics, Design, Brain, Spindles, Windows, Medical research

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SPIE Journal Paper | 17 May 2023 Open Access

Wearable, high-density fNIRS and diffuse optical tomography technologies: a perspective

Ernesto E. Vidal-Rosas, Alexander von Lühmann, Paola Pinti, Robert J. Cooper

NPh, Vol. 10, Issue 02, 023513, (May 2023) https://doi.org/10.1117/12.10.1117/1.NPh.10.2.023513

KEYWORDS: Diffuse optical tomography, Brain, Neuroimaging, Head, Neurophotonics, Near infrared spectroscopy, Design and modelling, Hemodynamics, Standards development, Miniaturization

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SPIE Journal Paper | 18 May 2022 Open Access

Investigation of functional near-infrared spectroscopy signal quality and development of the hemodynamic phase correlation signal

Uzair Hakim, Paola Pinti, J. Adam Noah, Xian Zhang, Paul Burgess, Antonia Hamilton, Joy Hirsch, Ilias Tachtsidis

NPh, Vol. 9, Issue 02, 025001, (May 2022) https://doi.org/10.1117/12.10.1117/1.NPh.9.2.025001

KEYWORDS: Signal to noise ratio, Hemodynamics, Near infrared spectroscopy, Brain, Neurophotonics, Data acquisition, Signal analyzers, Chromophores, Brain activation, Data modeling

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Significance: There is a longstanding recommendation within the field of fNIRS to use oxygenated (HbO2) and deoxygenated (HHb) hemoglobin when analyzing and interpreting results. Despite this, many fNIRS studies do focus on HbO2 only. Previous work has shown that HbO2 on its own is susceptible to systemic interference and results may mostly reflect that rather than functional activation. Studies using both HbO2 and HHb to draw their conclusions do so with varying methods and can lead to discrepancies between studies. The combination of HbO2 and HHb has been recommended as a method to utilize both signals in analysis. Aim: We present the development of the hemodynamic phase correlation (HPC) signal to combine HbO2 and HHb as recommended to utilize both signals in the analysis. We use synthetic and experimental data to evaluate how the HPC and current signals used for fNIRS analysis compare. Approach: About 18 synthetic datasets were formed using resting-state fNIRS data acquired from 16 channels over the frontal lobe. To simulate fNIRS data for a block-design task, we superimposed a synthetic task-related hemodynamic response to the resting state data. This data was used to develop an HPC-general linear model (GLM) framework. Experiments were conducted to investigate the performance of each signal at different SNR and to investigate the effect of false positives on the data. Performance was based on each signal’s mean T-value across channels. Experimental data recorded from 128 participants across 134 channels during a finger-tapping task were used to investigate the performance of multiple signals [HbO2, HHb, HbT, HbD, correlation-based signal improvement (CBSI), and HPC] on real data. Signal performance was evaluated on its ability to localize activation to a specific region of interest. Results: Results from varying the SNR show that the HPC signal has the highest performance for high SNRs. The CBSI performed the best for medium-low SNR. The next analysis evaluated how false positives affect the signals. The analyses evaluating the effect of false positives showed that the HPC and CBSI signals reflect the effect of false positives on HbO2 and HHb. The analysis of real experimental data revealed that the HPC and HHb signals provide localization to the primary motor cortex with the highest accuracy. Conclusions: We developed a new hemodynamic signal (HPC) with the potential to overcome the current limitations of using HbO2 and HHb separately. Our results suggest that the HPC signal provides comparable accuracy to HHb to localize functional activation while at the same time being more robust against false positives.

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Proceedings Article | 9 December 2021 Paper

An optical biomarker of hypoxic-ischaemic injury severity in the neonatal brain

Ilias Tachtsidis, Frédéric Lange, Paola Pinti, Gemma Bale, Magdalena Sokolska, Adnan Avdic-Belltheus, Christopher Meehan, Nicola Robertson, Shahrzad Parsa, Udo Weigel, Turgut Durduran, Subhrabrata Mitra

Proceedings Volume 11920, 119200I (2021) https://doi.org/10.1117/12.2615226

KEYWORDS: Brain, Injuries, Mode conditioning cables, Spectroscopy, Near infrared spectroscopy, Blood, Traumatic brain injury, Cerebral blood flow, Visualization, Therapeutics

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Proceedings Article | 11 July 2019 Paper

A new multichannel broadband NIRS system for quantitative monitoring of brain hemodynamics and metabolism during seizures

Isabel De Roever, Aikaterini Vezyroglou, Peter Hebden, Rachel Thornton, Alan Worley, Mariana Alves, Emma Dean, Gemma Bale, Paola Pinti, J. Helen Cross, Ilias Tachtsidis

Proceedings Volume 11074, 1107406 (2019) https://doi.org/10.1117/12.2527067

KEYWORDS: Diffuse optical imaging, Diffuse optical spectroscopy, Brain, Sensors, CCD image sensors, Near infrared spectroscopy, Head, Hemodynamics, Charge-coupled devices, Tissues, Electroencephalography

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