Identifying the distinct spectral dynamics of laminar-specific interhemispheric connectivity with bilateral line-scanning fMRI

Choi, Sangcheon; Chen, Yi; Zeng, Hang; Biswal, Bharat B.; Yu, Xin

doi:10.1177/0271678x231158434

Cited by 6 publications

(6 citation statements)

References 135 publications

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“…Significant effort with high magnetic field fMRI has been made to explore laminar fMRI responses corresponding to distinct information flows (e.g., top-down/bottom-up or feedforward/feedback) at high spatial and temporal scales in both animals and humans. Among these efforts, cortical depth-dependent fMRI, detecting BOLD, cerebral blood volume (CBV), and cerebral blood flow (CBF) signals with both SE and GRE methods, has identified hemodynamic regulation, blood volume distribution, circuit-specific laminar responses, and hierarchical information streams across cortical layers in animal 1,2,5,8,15,16,25–29 and human brains 30–34 . In particular, the high resolution CBV-fMRI (based on the VASO mapping scheme) has been used to measure layer-specific directional functional connectivity across human motor cortex and somatosensory and premotor regions 30 .…”

Section: Discussionmentioning

confidence: 99%

“…The HRF model was defined as follows: Cortical surfaces were determined based on signal intensities of fMRI line profiles as described in the previous work. The detailed processing was conducted as provided in the previous line-scanning studies 1,5,8 . For Fig.…”

Section: Methodsmentioning

confidence: 99%

“…Typical gradient echo (GRE)-based line-scanning fMRI (GELINE) method needs to dampen signals outside of the region of interest (ROI) to avoid aliasing artifacts along the phase encoding direction 1,2,4,5,[7][8][9] . Two saturation slices with additional RF exposure are applied for this purpose.…”

Section: Introductionmentioning

confidence: 99%

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Alpha-180 spin-echo based line-scanning method for high resolution laminar-specific fMRI

Choi

Hike

Pohmann

et al. 2023

Preprint

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Laminar-specific functional magnetic resonance imaging (fMRI) has been widely used to study circuit-specific neuronal activity by mapping spatiotemporal fMRI response patterns across cortical layers. Hemodynamic responses reflect indirect neuronal activity given limit of spatial and temporal resolution. Previous gradient-echo based line-scanning fMRI (GELINE) method was proposed with high temporal (50 ms) and spatial (50 μm) resolution to better characterize the fMRI onset time across cortical layers by employing 2 saturation RF pulses. However, the imperfect RF saturation performance led to poor boundary definition of the reduced region of interest (ROI) and aliasing problems outside of the ROI. Here, we propose α (alpha)-180 spin-echo-based line-scanning fMRI (SELINE) method to resolve this issue by employing a refocusing 180° RF pulse perpendicular to the excitation slice. In contrast to GELINE signals peaked at the superficial layer, we detected varied peaks of laminar-specific BOLD signals across deeper cortical layers with the SELINE method, indicating the well-defined exclusion of the large drain-vein effect with the spin-echo sequence. Furthermore, we applied the SELINE method with 200 ms TR to sample the fast hemodynamic changes across cortical layers with a less draining vein effect. In summary, this SELINE method provides a novel acquisition scheme to identify microvascular-sensitive laminar-specific BOLD responses across cortical depth.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Alpha-180 spin-echo based line-scanning method for high resolution laminar-specific fMRI

Choi

Hike

Pohmann

et al. 2023

Preprint

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“…However, measurements at these resolutions are slow, and typically have a repetition time larger than 2 s (Raimondo, Oliveira, et al, 2021 ). To probe laminar properties non‐invasively more precisely in the human cortex, we can wield the power of line‐scanning (Choi et al, 2023 ; Raimondo, Knapen, et al, 2021 ; Yu et al, 2014 ). This acquisition technique allows for sampling rates down to ~100 ms and a spatial resolution of 250 μm in the line direction (frequency‐encoding direction), at the cost of spatial coverage (Raimondo, Knapen, et al, 2021 ; Raimondo, Priovoulos, et al, 2023 ).…”

Section: Introductionmentioning

confidence: 99%

A selection and targeting framework of cortical locations for line‐scanning fMRI

Heij,

Raimondo,

Siero

et al. 2023

Human Brain Mapping

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Depth‐resolved functional magnetic resonance imaging (fMRI) is an emerging field growing in popularity given the potential of separating signals from different computational processes in cerebral cortex. Conventional acquisition schemes suffer from low spatial and temporal resolutions. Line‐scanning methods allow depth‐resolved fMRI by sacrificing spatial coverage to sample blood oxygenated level‐dependent (BOLD) responses at ultra‐high temporal and spatial resolution. For neuroscience applications, it is critical to be able to place the line accurately to (1) sample the right neural population and (2) target that neural population with tailored stimuli or tasks. To this end, we devised a multi‐session framework where a target cortical location is selected based on anatomical and functional properties. The line is then positioned according to this information in a separate second session, and we tailor the experiment to focus on the target location. Anatomically, the precision of the line placement was confirmed by projecting a nominal representation of the acquired line back onto the surface. Functional estimates of neural selectivities in the line, as quantified by a visual population‐receptive field model, resembled the target selectivities well for most subjects. This functional precision was quantified in detail by estimating the distance between the visual field location of the targeted vertex and the location in visual cortex (V1) that most closely resembled the line‐scanning estimates; this distance was on average ~5.5 mm. Given the dimensions of the line, differences in acquisition, session, and stimulus design, this validates that line‐scanning can be used to probe local neural sensitivities across sessions. In summary, we present an accurate framework for line‐scanning MRI; we believe such a framework is required to harness the full potential of line‐scanning and maximize its utility. Furthermore, this approach bridges canonical fMRI experiments with electrophysiological experiments, which in turn allows novel avenues for studying human physiology non‐invasively.

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“…Moreover, the line-scanning method suffers from the extremely reduced field of view. This problem can be partially overcome when using a bilateral or a multi line approach [401,402]. Those methods allow exploitation of the ultra-high spatiotemporal resolution of line-scanning to detect laminar-specific fMRI signals from adjacent cortical regions, and open the way for connectivity studies (Chapter 2).…”

Section: Limitations and Future Prospectivementioning

confidence: 99%

Neuroimaging at ultra-high spatiotemporal resolutions: line-scanning fMRI

Raimondo

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To be able to investigate the information processing across cortical depth non-invasively, fMRI techniques need to be improved to allow, at the same time, high spatial and temporal resolutions. In this thesis, line-scanning fMRI has been extensively studied as an extreme fMRI approach for ultra-high spatiotemporal resolution. Its one-dimensional nature requires new acquisition strategies as well as customized approaches for data reconstruction and analysis. The reader will be guided through different steps involved in development of line-scanning fMRI technique and its applications, after a short introduction on current fMRI acquisition methods for functional connectomics. Chapter 2 contains a literature review on the current acquisition techniques for resting state fMRI, from the most common approaches for resting state acquisition strategies, to more recent investigations with dedicated hardware and ultra-high fields. This chapter offers an opposite point of view compared to the other chapters, going from an extended, whole brain FOV acquisitions suitable for connectivity analysis to the extremely reduced FOV of the lines, analysed with a strong focus on task-based experiments. In Chapter 3, the first implementation of gradient-echo line-scanning is presented: we analysed the quality of line-scanning data acquisition and optimized the reconstruction strategy. We applied the line-scanning method in the occipital lobe during a visual stimulation task, showing BOLD responses along cortical depth, every 250 mm with a 200 ms repetition time. As proof-of-concept, we compared t-statistical values from line-scanning with 2D gradient-echo echo planar imaging BOLD fMRI data with the same temporal resolution and voxel volume, and showed a good correspondence between the two. In Chapter 4, a comprehensive update to human line-scanning fMRI is introduced. First, we investigated multi-echo line-scanning with different protocols varying the number of echoes and readout bandwidth while keeping the TR constant. We also implemented an adaptation of NOise reduction with DIstribution Corrected principal component analysis (NORDIC) thermal noise removal for line-scanning fMRI data. Finally, we tested image-based navigators for prospective motion correction and examined different ways of performing fMRI analysis on the timecourses, which were influenced by the insertion of the navigators themselves. Together those changes improve the robustness of the line-scanning method. In Chapter 5, an alternative contrast for line-scanning is proposed. Spin-echo is a natural candidate for line-scanning, due to its innate properties of sharp line selection and the microvascular selective functional contrast. However, we could not detect any activation in the visual cortex after a very strong visual task, hence we concluded that further improvements in the spin-echo line-scanning acquisition need to be introduced before it can be applied for neuroscientific purposes. In Chapter 6, an example of line-scanning application is presented: we explored HRF changes in visual cortex across cortical depth in two age groups. We also bridge ageing HRF changes obtained through line-scanning with more conventional fMRI acquisitions at high-field. The thesis concludes with a general discussion in Chapter 7.

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Identifying the distinct spectral dynamics of laminar-specific interhemispheric connectivity with bilateral line-scanning fMRI

Cited by 6 publications

References 135 publications

Alpha-180 spin-echo based line-scanning method for high resolution laminar-specific fMRI

Alpha-180 spin-echo based line-scanning method for high resolution laminar-specific fMRI

A selection and targeting framework of cortical locations for line‐scanning fMRI

Neuroimaging at ultra-high spatiotemporal resolutions: line-scanning fMRI

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