Neuroimaging at 3T vs 7T

Jones, Stephen E.; Law, Meng

doi:10.1016/j.mric.2020.09.001

Cited by 11 publications

(5 citation statements)

References 40 publications

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“…Indeed, Morris and colleagues demonstrated in their recent work up to 300% improvement in temporal SNR and rsFC coefficients provided by UHF 7T fMRI when compared to 3T, indicating enhanced power for detection of functional neural architecture 56 . The UHF technology improves the confound introduced by partial volume effects 57 with and supralinear gains in the functional contrast-to-noise ratio (fCNR) 54 resulting in increased sensitivity to susceptibility changes 6 . Altogether, 7T can increase the conspicuity between different brain regions 6 .These effects improve the segregation of signals originating from different anatomical substrates (e.g.…”

Section: Discussionmentioning

confidence: 99%

“…The UHF technology improves the confound introduced by partial volume effects 57 with and supralinear gains in the functional contrast-to-noise ratio (fCNR) 54 resulting in increased sensitivity to susceptibility changes 6 . Altogether, 7T can increase the conspicuity between different brain regions 6 .These effects improve the segregation of signals originating from different anatomical substrates (e.g. microvasculature, large surface vessels, white matter), thereby enabling a significant increase in the spatial specificity.…”

Section: Discussionmentioning

confidence: 99%

“…The most commonly used UHF systems are those operating at 7T. The clinical applicability of UHF MRI has been particularly demonstrated for the diagnosis and assessment of brain tumours, epilepsy, multiple sclerosis, cerebrovascular diseases and Alzheimer´s disease 2 – 6 . Considerable progress has also been made in the efforts to exploit the greater sensitivity of UHF imaging for the establishment of neuroimaging biomarkers for neuropsychiatric disorders, such as depression, post-traumatic stress and schizophrenia 7 .…”

Section: Introductionmentioning

confidence: 99%

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Common neurobiological correlates of resilience and personality traits within the triple resting-state brain networks assessed by 7-Tesla ultra-high field MRI

Altinok

Rajkumar

Nießen

et al. 2021

Sci Rep

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Despite numerous studies investigating resilience and personality trials, a paucity of information regarding their neurobiological commonalities at the level of the large resting-state networks (rsNWs) remains. Here we address this topic using the advantages of ultra-high-field (UHF) 7T-MRI, characterized by higher signal-to-noise ratio and increased sensitivity. The association between resilience, personality traits and three fMRI measures (fractional amplitude of low-frequency fluctuations (fALFF), degree centrality (DC) and regional homogeneity (ReHo)) determined for three core rsNWs (default mode (DMN), salience (SN), and central executive network (CEN)) were examined in 32 healthy volunteers. The investigation revealed a significant role of SN in both resilience and personality traits and a tight association of the DMN with resilience. DC in CEN emerged as a significant moderator for the correlations of resilience with the personality traits of neuroticism and extraversion. Our results indicate that the common neurobiological basis of resilience and the Big Five personality traits may be reflected at the level of the core rsNWs.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Common neurobiological correlates of resilience and personality traits within the triple resting-state brain networks assessed by 7-Tesla ultra-high field MRI

Altinok

Rajkumar

Nießen

et al. 2021

Sci Rep

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“…Regarding the reproducibility and potential implications of our findings, neuroimaging at 7T would provide greater signal-to-noise ratio at similar faster scan times compared with 1.5T and 3T scans, thus allowing for a more fine-grained investigation with VDM ( Jones, 2021 ). It is also worth noting the clinical utility of using 3T scanners as field strengths range from 1.5. to 3 T in clinical settings ( Wardlaw et al, 2012 ).…”

Section: Study Limitations Clinical Translation and Future Workmentioning

confidence: 66%

Vessel distance mapping: a novel methodology for assessing vascular‐induced cognitive resilience

Garcia-Garcia

Mattern

Vockert

et al. 2022

Alzheimer's & Dementia

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BackgroundThe association between cerebral blood supply and cognition has gained increasing interest, considering the remarkable anatomical variability of the circle of Willis. Thus, qualitative classifications of the arteries contributing to the hippocampal supply has been performed in previous studies to determine whether the additional presence of vessels might translate into cognitive differences and cerebral structural changes when coexisting with vascular pathology, to the extent of constituting a cognitive reserve. Nevertheless, the promising results in these regards are not without controversy. Hence, Vessel Distance Mapping (VDM) is here introduced, in order to ascertain the correlation of VDM‐metrics with each other and with cognitive status, as well as to elucidate which metrics have the greatest impact on cognition.MethodA battery of cognitive tests was used (including ADAScog and MoCA) in 51 subjects (71 ± 8.5yrs) with (n=20) and without (n=31) cerebral small vessel disease. Their hippocampal‐related vessels were manually segmented by using high‐resolution 7T Time‐of‐Flight‐MRI. Vessel distance maps were generated by computing the distances of each voxel to its nearest vessel, obtaining 3 VDM‐metrics: global‐VDM (vessel density surrogate), VS‐VDM (vessel‐specific supply), and COMD (distance to the center of mass, reflecting vessel distribution). Hippocampal masks were used to assess the whole and subregional hippocampus. Regression models were applied for evaluating the interrelation among the metrics, and their association with cognition.ResultHigh correlations were observed for intra‐metric comparisons, as well as when comparing whole hippocampal vs. sub‐hippocampal metrics. Greater values of VDM‐metrics reflecting higher distances among vessels were associated with poorer cognitive outcomes only in subjects affected by vascular pathology (global‐VDM R²=0.7248, p=0.0054; COMD R²=0.7248, p=0.0013). Metrics revealing vascular distribution (p=0,0053) and density (p=0,0169) were the most influential on cognition, and in this context those for the whole hippocampus predominated over the subregional ones.ConclusionA mixed contribution of vessel distribution and density is proposed to confer cognitive resilience, in a way consistent with anatomical fundamentals and with previous research findings. VDM provides a new, structure‐driven approach on which to raise new questions supported by the statistical robustness of a quantitative method with potential clinical implications.

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“…Currently, there are over seventy 7 T scanners in the world (Clarke et al, 2020). Despite the rising popularity of 7 T scanners, installation costs present a significant burden that can delay important basic and clinical research (Jones et al, 2021). In light of the challenges associated with UHF 7 T data collection, we aimed to delineate the CeA-5M circuit at 3 T. Indeed, we were able to successfully resolve the circuit again, effectively proving the feasibility of studying the CeA-5M pathway using readily available 3 T scanners, without additional costs associated with the installation and operationalization of 7 T scanners.…”

Section: Discussionmentioning

confidence: 99%

Identification of central amygdala and trigeminal motor nucleus connectivity in humans: An ultra‐high field diffusion MRI study

Kaya

Geha

Araújo

et al. 2022

Human Brain Mapping

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The neuroanatomical circuitry of jaw muscles has been mostly explored in non‐human animals. A recent rodent study revealed a novel circuit from the central amygdala (CeA) to the trigeminal motor nucleus (5M), which controls biting attacks. This circuit has yet to be delineated in humans. Ultra‐high diffusion‐weighted imaging data from the Human Connectome Project (HCP) allow in vivo delineation of circuits identified in other species—for example, the CeA–5M pathway—in humans. We hypothesized that the CeA–5M circuit could be resolved in humans at both 7 and 3 T. We performed probabilistic tractography between the CeA and 5M in 30 healthy young adults from the HCP database. As a negative control, we performed tractography between the basolateral amygdala (BLAT) and 5M, as CeA is the only amygdalar nucleus with extensive projections to the brainstem. Connectivity strength was operationalized as the number of streamlines between each region of interest. Connectivity strength between CeA–5M and BLAT–5M within each hemisphere was compared, and CeA–5M circuit had significantly stronger connectivity than the BLAT–5M circuit, bilaterally at both 7 T (all p < .001) and 3 T (all p < .001). This study is the first to delineate the CeA–5M circuit in humans.

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Neuroimaging at 3T vs 7T

Cited by 11 publications

References 40 publications

Common neurobiological correlates of resilience and personality traits within the triple resting-state brain networks assessed by 7-Tesla ultra-high field MRI

Common neurobiological correlates of resilience and personality traits within the triple resting-state brain networks assessed by 7-Tesla ultra-high field MRI

Vessel distance mapping: a novel methodology for assessing vascular‐induced cognitive resilience

Identification of central amygdala and trigeminal motor nucleus connectivity in humans: An ultra‐high field diffusion MRI study

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