Dr. Liam H. Collins-Jones Profile

Dr. Liam H. Collins-Jones

at University of Cambridge

SPIE Involvement:

Author

Publications (7)

SPIE Journal Paper | 10 February 2023 Open Access

Illuminating neurodegeneration: a future perspective on near-infrared spectroscopy in dementia research

Sruthi Srinivasan, Emilia Butters, Liam Collins-Jones, Li Su, John O’Brien, Gemma Bale

NPh, Vol. 10, Issue 02, 023514, (February 2023) https://doi.org/10.1117/12.10.1117/1.NPh.10.2.023514

KEYWORDS: Near infrared spectroscopy, Dementia, Brain, Design and modelling, Data modeling, Neuroimaging, Neurodegeneration, Image classification, Head, Magnetic resonance imaging

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 9 December 2021 Paper

Towards cot-side mapping of the sensorimotor cortex in preterm and term infants with wearable high-density diffuse optical tomography

Elisabetta Maria Frijia, Hubin Zhao, Liam Collins-Jones, Greg Smith, Nicholas Everdell, Topun Austin, Robert Cooper

Proceedings Volume 11920, 119201C (2021) https://doi.org/10.1117/12.2615363

KEYWORDS: Sensors, Sensorimotor cortex, Diffuse optical tomography, Data modeling, Brain mapping, Brain, 3D acquisition, Video, Spatial resolution, Silicon

Read Abstract +

Proceedings Article | 9 December 2021 Paper

ANIMATE: wearable, flexible, and ultra-lightweight high-density diffuse optical tomography technologies for functional neuroimaging of newborns

Hubin Zhao, Elisabetta Maria Frijia, Ernesto Vidal Rosas, Liam Collins-Jones, Greg Smith, Reuben Nixon-Hill, Samuel Powell, Nicholas Everdell, Robert Cooper

Proceedings Volume 11920, 119201A (2021) https://doi.org/10.1117/12.2615357

KEYWORDS: Neuroimaging, Diffuse optical tomography, Connectors, Sensors, Imaging arrays, Mechanical engineering, Light emitting diodes, Imaging systems, Absorbance, Traumatic brain injury

Read Abstract +

Proceedings Article | 9 December 2021 Paper

Optimum selection of individual-level neonatal models in place of subject-specific priors for infant diffuse optical tomography

Liam Collins-Jones, Clare Elwell, Robert Cooper

Proceedings Volume 11920, 119200U (2021) https://doi.org/10.1117/12.2615256

KEYWORDS: Head, Data modeling, Image registration, Absorption, Diffuse optical tomography, Databases, Magnetic resonance imaging, Image restoration, Motion models, Medical research

Read Abstract +

Proceedings Article | 9 December 2021 Paper

Wearable HD-DOT for investigating functional connectivity in the adult brain: a single subject, multi-session study

Julie Uchitel, Borja Blanco, Liam Collins-Jones, Ernesto Vidal-Rosas, Robert Cooper

Proceedings Volume 11920, 119201B (2021) https://doi.org/10.1117/12.2615360

KEYWORDS: Brain, Sensors, Head, 3D modeling, Tissue optics, Image restoration, Waveguides, Remote sensing, Prefrontal cortex, Finite element methods

Read Abstract +

SPIE Journal Paper | 12 June 2021 Open Access

Group-level cortical functional connectivity patterns using fNIRS: assessing the effect of bilingualism in young infants

Borja Blanco, Monika Molnar, Manuel Carreiras, Liam Collins-Jones, Ernesto Elias Vidal Rosas, Robert Cooper, Cesar Caballero-Gaudes

NPh, Vol. 8, Issue 02, 025011, (June 2021) https://doi.org/10.1117/12.10.1117/1.NPh.8.2.025011

KEYWORDS: Brain, Independent component analysis, Statistical analysis, Data modeling, Neurophotonics, Matrices, Hemodynamics, Head, Sensors, Chromophores

Read Abstract +

Significance: Early monolingual versus bilingual experience induces adaptations in the development of linguistic and cognitive processes, and it modulates functional activation patterns during the first months of life. Resting-state functional connectivity (RSFC) is a convenient approach to study the functional organization of the infant brain. RSFC can be measured in infants during natural sleep, and it allows to simultaneously investigate various functional systems. Adaptations have been observed in RSFC due to a lifelong bilingual experience. Investigating whether bilingualism-induced adaptations in RSFC begin to emerge early in development has important implications for our understanding of how the infant brain’s organization can be shaped by early environmental factors. Aims: We attempt to describe RSFC using functional near-infrared spectroscopy (fNIRS) and to examine whether it adapts to early monolingual versus bilingual environments. We also present an fNIRS data preprocessing and analysis pipeline that can be used to reliably characterize RSFC in development and to reduce false positives and flawed results interpretations. Methods: We measured spontaneous hemodynamic brain activity in a large cohort (N = 99) of 4-month-old monolingual and bilingual infants using fNIRS. We implemented group-level approaches based on independent component analysis to examine RSFC, while providing proper control for physiological confounds and multiple comparisons. Results: At the group level, we describe the functional organization of the 4-month-old infant brain in large-scale cortical networks. Unbiased group-level comparisons revealed no differences in RSFC between monolingual and bilingual infants at this age. Conclusions: High-quality fNIRS data provide a means to reliably describe RSFC patterns in the infant brain. The proposed group-level RSFC analyses allow to assess differences in RSFC across experimental conditions. An effect of early bilingual experience in RSFC was not observed, suggesting that adaptations might only emerge during explicit linguistic tasks, or at a later point in development.

DOWNLOAD PAPER

SPIE Journal Paper | 26 March 2021 Open Access

Design and validation of a mechanically flexible and ultra-lightweight high-density diffuse optical tomography system for functional neuroimaging of newborns

Hubin Zhao, Elisabetta Frijia, Ernesto Vidal Rosas, Liam Collins-Jones, Greg Smith, Reuben Nixon-Hill, Samuel Powell, Nicholas Everdell, Robert Cooper

NPh, Vol. 8, Issue 01, 015011, (March 2021) https://doi.org/10.1117/12.10.1117/1.NPh.8.1.015011

KEYWORDS: Neuroimaging, Imaging systems, Connectors, Absorption, Sensors, Neurophotonics, Brain, Absorbance, Optical properties, Near infrared

Read Abstract +

Significance: Neonates are a highly vulnerable population. The risk of brain injury is greater during the first days and weeks after birth than at any other time of life. Functional neuroimaging that can be performed longitudinally and at the cot-side has the potential to improve our understanding of the evolution of multiple forms of neurological injury over the perinatal period. However, existing technologies make it very difficult to perform repeated and/or long-duration functional neuroimaging experiments at the cot-side. Aim: We aimed to create a modular, high-density diffuse optical tomography (HD-DOT) technology specifically for neonatal applications that is ultra-lightweight, low profile and provides high mechanical flexibility. We then sought to validate this technology using an anatomically accurate dynamic phantom. Approach: An advanced 10-layer rigid-flexible printed circuit board technology was adopted as the basis for the DOT modules, which allows for a compact module design that also provides the flexibility needed to conform to the curved infant scalp. Two module layouts were implemented: dual-hexagon and triple-hexagon. Using in-built board-to-board connectors, the system can be configured to provide a vast range of possible layouts. Using epoxy resin, thermochromic dyes, and MRI-derived 3D-printed moulds, we constructed an electrically switchable, anatomically accurate dynamic phantom. This phantom was used to quantify the imaging performance of our flexible, modular HD-DOT system. Results: Using one particular module configuration designed to cover the infant sensorimotor system, the device provided 36 source and 48 detector positions, and over 700 viable DOT channels per wavelength, ranging from 10 to ∼45 mm over an area of approximately 60 cm2. The total weight of this system is only 70 g. The signal changes from the dynamic phantom, while slow, closely simulated real hemodynamic response functions. Using difference images obtained from the phantom, the measured 3D localization error provided by the system at the depth of the cortex was in the of range 3 to 6 mm, and the lateral image resolution at the depth of the neonatal cortex is estimated to be as good as 10 to 12 mm. Conclusions: The HD-DOT system described is ultra-low weight, low profile, can conform to the infant scalp, and provides excellent imaging performance. It is expected that this device will make functional neuroimaging of the neonatal brain at the cot-side significantly more practical and effective.

DOWNLOAD PAPER

Showing 5 of 7 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years