Atlas of the Human Brain and Spinal Cord

Sharland, D. E.

doi:10.1136/pgmj.60.702.305

Cited by 2 publications

(4 citation statements)

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“…In order to compare the stimulus responses of different WM tracts, amplitudes of the fundamental frequency in response to the stimulus were computed for voxels in hand drawn WM tracts based on a spinal cord atlas obtained from human and non-human primates 24,[28][29][30] . It was found that the spinocerebellar tracts and dorsal column tract showed higher amplitudes of the stimulus fundamental frequency (0.018 Hz) compared to other WM tracts as shown in the bar plots in Fig.…”

Section: Stimulus Response In Gray and White Matter Of Spinal Cordmentioning

confidence: 99%

“…For testing the spatial speci city of the WM ICs, we compared their spatial locations (thresholded at Z = 4) to those obtained from hand drawn WM tracts based on a spinal cord atlas obtained from human and non-human primates 24,[28][29][30] (Fig. 3D).…”

Section: Stimulus Response In Gray and White Matter Of Spinal Cordmentioning

confidence: 99%

“…Additionally, we found our main results were not affected by changes in the number of components used. Another limitation is the absence of an appropriate spinal cord atlas for squirrel monkeys, so we used hand drawn masks for WM tracts based on human and non-human spinal cord atlas 24,[28][29][30] . Also, the animals of our study were anesthetized during image acquisition and it has been reported that anesthesia could in uence the measurement of functional connectivity 48 .…”

Section: Functional Connectivity Of Wm Hubs Followed Patterns Consist...mentioning

confidence: 99%

“…The GM and WM spatial component maps were thresholded (Z-score > 3 and Z-score > 4 respectively) and classi ed based on visual inspection of each component's spatial pro le. The thresholded WM spatial maps from ICA decompositions were compared with hand drawn WM tracts obtained from spinal cord atlas of human and non-human primates 24,[28][29][30] .…”

Section: Independent Component Analysis (Ica) Of Resting State Fmri Datamentioning

confidence: 99%

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Identification of synchronous BOLD signal patterns in white matter of primate spinal cord

Sengupta

Mishra

Wang

et al. 2023

Preprint

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Functional MRI studies of the brain have shown that blood-oxygenation-level-dependent (BOLD) signals are robustly detectable not only in gray matter (GM) but also in white matter (WM). Here, we report the detection and characteristics of BOLD signals in WM of spinal cord (SC) of squirrel monkeys. Tactile stimulus-evoked BOLD signal changes were detected in the ascending sensory tracts of SC using a General-Linear Model (GLM) as well as Independent Component Analysis (ICA). ICA of resting state signals identified coherent fluctuations from eight WM hubs which correspond closely with known anatomical locations of SC WM tracts. Resting state analyses showed that the WM hubs exhibited correlated signal fluctuations within and between SC segments in specific patterns that correspond well with the known neurobiological functions of WM tracts in SC. Overall, these findings suggest WM BOLD signals in SC show similar features as GM both at baseline and under stimulus conditions.

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Section: Stimulus Response In Gray and White Matter Of Spinal Cordmentioning

confidence: 99%

Section: Stimulus Response In Gray and White Matter Of Spinal Cordmentioning

confidence: 99%

Section: Functional Connectivity Of Wm Hubs Followed Patterns Consist...mentioning

confidence: 99%

Section: Independent Component Analysis (Ica) Of Resting State Fmri Datamentioning

confidence: 99%

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Identification of synchronous BOLD signal patterns in white matter of primate spinal cord

Sengupta

Mishra

Wang

et al. 2023

Preprint

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Characteristic BOLD signals are detectable in white matter of the spinal cord at rest and after a stimulus

Sengupta,

Mishra,

Wang

et al. 2024

Proc. Natl. Acad. Sci. U.S.A.

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We report the reliable detection of reproducible patterns of blood-oxygenation-level-dependent (BOLD) MRI signals within the white matter (WM) of the spinal cord during a task and in a resting state. Previous functional MRI studies have shown that BOLD signals are robustly detectable not only in gray matter (GM) in the brain but also in cerebral WM as well as the GM within the spinal cord, but similar signals in WM of the spinal cord have been overlooked. In this study, we detected BOLD signals in the WM of the spinal cord in squirrel monkeys and studied their relationships with the locations and functions of ascending and descending WM tracts. Tactile sensory stimulus –evoked BOLD signal changes were detected in the ascending tracts of the spinal cord using a general-linear model. Power spectral analysis confirmed that the amplitude at the fundamental frequency of the response to a periodic stimulus was significantly higher in the ascending tracts than the descending ones. Independent component analysis of resting-state signals identified coherent fluctuations from eight WM hubs which correspond closely to the known anatomical locations of the major WM tracts. Resting-state analyses showed that the WM hubs exhibited correlated signal fluctuations across spinal cord segments in reproducible patterns that correspond well with the known neurobiological functions of WM tracts in the spinal cord. Overall, these findings provide evidence of a functional organization of intraspinal WM tracts and confirm that they produce hemodynamic responses similar to GM both at baseline and under stimulus conditions.

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Atlas of the Human Brain and Spinal Cord

Cited by 2 publications

References 0 publications

Identification of synchronous BOLD signal patterns in white matter of primate spinal cord

Identification of synchronous BOLD signal patterns in white matter of primate spinal cord

Characteristic BOLD signals are detectable in white matter of the spinal cord at rest and after a stimulus

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