fMRI contrast at high and ultrahigh magnetic fields: Insight from complementary methods

Ciobanu, Luisa; Solomon, Eddy; Pyatigorskaya, Nadya; Roussel, Tangi; Bihan, Denis Le; Frydman, Lucio

doi:10.1016/j.neuroimage.2015.03.018

Cited by 21 publications

(14 citation statements)

References 39 publications

(44 reference statements)

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“…SPEN variants have been explored in recent years as potential alternatives to EPI, particularly in the context of overcoming B 0 -inhomogeneities or dealing with heterogeneous environments (52,54,(74)(75)(76). These features are again evidenced here, for DTI studies.…”

Section: Discussionmentioning

confidence: 76%

“…This leads to SPEN images that are nearly T 2 * ‐free. The potential of various SPEN imaging forms in both single/interleaved‐shot and single/parallel‐receive acquisition modes , has been demonstrated in several applications including BOLD and isotropic diffusivity studies. The present study describes the use of SPEN within a DTI framework.…”

Section: Introductionmentioning

confidence: 99%

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Robust diffusion tensor imaging by spatiotemporal encoding: Principles and in vivo demonstrations

Solomon

Liberman

Nissan

et al. 2016

Magnetic Resonance in Med

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Purpose-Evaluate the usefulness of single-shot and interleaved spatiotemporally-encoded (SPEN) methods to perform diffusion tensor imaging (DTI) under various pre-clinical and clinical settings.Methods-A formalism for analyzing SPEN DTI data is presented, tailored to account for the spatially-dependent b-matrix weightings introduced by the sequence's use of swept pulses acting while in the presence of field gradients.Results-With its b-matrix calculations suitably accounted for, SPEN's ability to deliver faithful DTI measurements is corroborated on phantoms, ex vivo and in vivo animal and human studies. For both ex vivo and in vivo investigations, SPEN data proved less sensitive to distortions arising from eddy currents than conventional single-shot alternatives. Conclusion-The robustness of SPEN-based sequences vis-à-vis field instabilities and heterogeneities, enables the implementation of DTI experiments with good sensitivity and resolution even in challenging environments like lactating breasts.

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Section: Discussionmentioning

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Robust diffusion tensor imaging by spatiotemporal encoding: Principles and in vivo demonstrations

Solomon

Liberman

Nissan

et al. 2016

Magnetic Resonance in Med

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“…fMRI studies on mice require higher spatial resolution due to their small size. Reducing voxel size increases spatial resolution, but also decreases BOLD signal per voxel and, hence, signal-to-noise ratio (SNR) as well 53 . Since higher magnetic field can enhance BOLD signals 54,55 , ultra-high field MRI has been used in some studies 39,56 .…”

Section: Discussionmentioning

confidence: 99%

Hyper BOLD Activation in Dorsal Raphe Nucleus of APP/PS1 Alzheimer’s Disease Mouse during Reward-Oriented Drinking Test under Thirsty Conditions

Sakurai

Shintani

Jomura

et al. 2020

Sci Rep

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Alzheimer's disease (AD), a neurodegenerative disease, causes behavioural abnormalities such as disinhibition, impulsivity, and hyperphagia. preclinical studies using AD model mice have investigated these phenotypes by measuring brain activity in awake, behaving mice. in this study, we monitored the behavioural alterations of impulsivity and hyperphagia in middle-aged AD model mice. As a behavioural readout, we trained the mice to accept a water-reward under thirsty conditions. to analyse brain activity, we developed a measure for licking behaviour combined with visualisation of whole brain activity using awake fMRI. In a water-reward learning task, the AD model mice showed significant hyperactivity of the dorsal raphe nucleus in thirsty conditions. in summary, we successfully visualised altered brain activity in AD model mice during reward-oriented behaviour for the first time using awake fMRi. this may help in understanding the causes of behavioural alterations in AD patients.Fifty million people worldwide currently suffer from dementia. This number is estimated to reach 130 million by 2050. Alzheimer's disease (AD) is a neurodegenerative disease accounting for 60-70% of dementia cases 1 . AD develops through amnestic mild cognitive impairment (MCI), in which a decrease of memory function is the only symptom can be recognised. Once dementia develops, memory and various cognitive functions decrease, behavioural and psychological symptoms of dementia (BPSP) are also exhibited 1-3 . As these symptoms progress, it becomes impossible to maintain an independent daily life. Dementia patients mostly need medical care due to BPSP rather than reducing of memory and cognitive functions. BPSP includes depression, anxiety, and apathy. Although research on these BPSP symptoms has progressed, however, most symptoms such as disinhibition, impulsivity and hyperphagia have not been analysed in the way of pathology.AD significantly impairs reward-based behaviour (by 15-20%) in patients. A typical example is hyperphagia, which stems from a lack of satiety control, similar to disorders of impulsivity and compulsivity 4,5 . The Urgency, lack of Perseverance, lack of Premeditation, Sensation Seeking (UPPS) Scale or Barrat's Impulsiveness Scale (BIS) are now used to test for impulsivity in AD patients 3 . Overeating and impulsivity have also recently been reported in AD model mice 6,7 . These observations suggest that AD mice models may be useful in studying hyperphagia and early changes in impulsive behaviour. It has also been suggested that the brainstem serotonergic system, including the dorsal raphe nucleus 8,9 and ventral temporal lobe (hippocampus, parahippocampus, amygdala), are involved in such alterations. However, the neurological mechanisms behind these phenotypes have not yet been identified. In order to elucidate these mechanistic underpinnings, direct evaluation of brain activity associated with abnormal behaviour phenotypes is required 10 .Functional magnetic resonance imaging (fMRI) is widely used in neuroscience resea...

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“…Translational research opportunities allow the investigator to develop animal models for studies which cannot be undertaken in patients or volunteers. A number of technical issues which must be considered when designing protocols for animal work are: the impact of higher magnetic fields and the ability to detect functional contrasts (Ciobanu et al, 2015); the use, or not, of anesthesia or sedation and its effects on regional and global brain activity (Kalthoff et al, 2013; Schlegel et al, 2015); physiological differences between animals and humans (Kalthoff et al, 2011; Sumiyoshi et al, 2012); and the fact that relatively few reference templates and atlases are available for animals (Stoewer et al, 2012; Nie et al, 2013; Papp et al, 2014). …”

Section: Multimodal Studiesmentioning

confidence: 99%

A Hitchhiker's Guide to Functional Magnetic Resonance Imaging

et al. 2016

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Functional Magnetic Resonance Imaging (fMRI) studies have become increasingly popular both with clinicians and researchers as they are capable of providing unique insights into brain functions. However, multiple technical considerations (ranging from specifics of paradigm design to imaging artifacts, complex protocol definition, and multitude of processing and methods of analysis, as well as intrinsic methodological limitations) must be considered and addressed in order to optimize fMRI analysis and to arrive at the most accurate and grounded interpretation of the data. In practice, the researcher/clinician must choose, from many available options, the most suitable software tool for each stage of the fMRI analysis pipeline. Herein we provide a straightforward guide designed to address, for each of the major stages, the techniques, and tools involved in the process. We have developed this guide both to help those new to the technique to overcome the most critical difficulties in its use, as well as to serve as a resource for the neuroimaging community.

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fMRI contrast at high and ultrahigh magnetic fields: Insight from complementary methods

Cited by 21 publications

References 39 publications

Robust diffusion tensor imaging by spatiotemporal encoding: Principles and in vivo demonstrations

Robust diffusion tensor imaging by spatiotemporal encoding: Principles and in vivo demonstrations

Hyper BOLD Activation in Dorsal Raphe Nucleus of APP/PS1 Alzheimer’s Disease Mouse during Reward-Oriented Drinking Test under Thirsty Conditions

A Hitchhiker's Guide to Functional Magnetic Resonance Imaging

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