Neuroimaging perspectives on fetal motor behavior

Hayat, Tayyib T. A.; Rutherford, Mary

doi:10.1016/j.neubiorev.2018.06.001

Cited by 10 publications

(8 citation statements)

References 168 publications

(129 reference statements)

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“…In this study we used recorded motion only for testing. Dynamic predictive motion tracking, as we proposed here, may also be useful to assess normal versus abnormal patterns of fetal movements [62] from cinematographic MRI (or 4D ultrasound), which, in-turn, may be used to assess fetal motor behavior [63], [64].…”

Section: Discussionmentioning

confidence: 99%

Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging

Singh

Salehi²,

Gholipour

2020

IEEE Trans. Med. Imaging

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Fetal magnetic resonance imaging (MRI) is challenged by uncontrollable, large, and irregular fetal movements. It is, therefore, performed through visual monitoring of fetal motion and repeated acquisitions to ensure diagnostic-quality images are acquired. Nevertheless, visual monitoring of fetal motion based on displayed slices, and navigation at the level of stacks-of-slices is inefficient. The current process is highly operator-dependent, increases scanner usage and cost, and significantly increases the length of fetal MRI scans which makes them hard to tolerate for pregnant women. To help build automatic MRI motion tracking and navigation systems to overcome the limitations of the current process and improve fetal imaging, we have developed a new real-time image-based motion tracking method based on deep learning that learns to predict fetal motion directly from acquired images. Our method is based on a recurrent neural network, composed of spatial and temporal encoder-decoders, that infers motion parameters from anatomical features extracted from sequences of acquired slices. We compared our trained network on held-out test sets (including data with different characteristics, e.g. different fetuses scanned at different ages, and motion trajectories recorded from volunteer subjects) with networks designed for estimation as well as methods adopted to make predictions. The results show that our method outperformed alternative techniques, and achieved real-time performance with average errors of 3.5 and 8 degrees for the estimation and prediction tasks, respectively. Our real-time deep predictive motion tracking technique can be used to assess fetal movements, to guide slice acquisitions, and to build navigation systems for fetal MRI.

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Section: Discussionmentioning

confidence: 99%

Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging

Singh

Salehi²,

Gholipour

2020

IEEE Trans. Med. Imaging

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“…Various imaging technologies clearly have opened the field of studying prenatal development and activities of vertebrates [1][2][3][4][5][6], and at present a remarkable range of behaviours is delineated for numerous taxa. Among the species that give live-birth (viviparity), prenatal behaviour is best studied in humans [1][2][3]7].…”

Section: Introductionmentioning

confidence: 99%

Tail movements by late-term fetal pitvipers resemble caudal luring: prenatal development of an ambush predatory behaviour

Smith

Schuett

2022

R. Soc. open sci.

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With the advent of powerful imaging instruments, the prenatal behaviour of vertebrates has been discovered to be far more complex than previously believed, especially concerning humans, other mammals and birds. Surprisingly, the fetal behaviour of squamate reptiles (lizards, snakes and amphisbaenians), a group of over 11 000 extant species, are largely understudied. Using ultrasonography, 18 late-term pregnant copperhead snakes ( Agkistrodon contortrix ) from a single population were inspected for fecundity (number of fetuses). Unexpectedly, during the ultrasound procedure that involved 97 fetuses, we observed sinusoidal tail movements in 11 individuals from eight different copperhead mothers. These movements were indistinguishable from caudal luring, a mimetic ambush predatory strategy which is exhibited by newborn copperheads and other snakes. Caudal luring is initiated shortly after birth and is employed to attract susceptible vertebrate prey. Using the same ultrasound equipment and methods, we tested for this behaviour in two species of rattlesnakes (genus Crotalus ) not known to caudal lure and none of the late-term fetuses showed any type of tail movements. Prenatal movements in humans and other vertebrates are known to be important for musculoskeletal and sensorimotor development. The fetal behaviours we describe for copperheads, and possibly other snakes, may be similarly important and influence early survival and subsequent fitness.

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“…Studies have also documented that fetal motor behavior can predict postnatal mental development (Hayat et al, 2018 ), and even childhood temperament (Dipietro et al, 2018 ). Apart from reflecting neurobehavioral maturation in typical development, fetal behavior also informs risk of postnatal congenital disorders (De Vries & Fong, 2007 ; Hayat & Rutherford, 2018 ) and poor perinatal outcomes (De Vries & Fong, 2007 ). For instance, decreased fetal movement has been associated with preterm birth, elevated rates of cesarean delivery (Dutton et al, 2012 ), mild language delay (Hayat et al, 2018 ), and neonatal stroke (Hielkema & Hadders‐Algra, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

“…Traditionally, Ultrasound Sonography and state‐of‐art Cine Magnetic Resonance Imaging (MRI) have been used to visualize and assess fetal motor behavior (Hayat & Rutherford, 2018 ). Fetal motor behavior is most frequently characterized in terms of “general movements” and “isolated movements,” where general movements are characterized by a global sequence of movement of variable speed, amplitude, direction, and fluency (Guzzetta et al, 2003 ; Prechtl & Einspieler, 1997 ), and isolated movements involve distinctive sequencing of particular body parts (Fagard et al, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Fetal behavior during MRI changes with age and relates to network dynamics

Majbri

Hendrix

et al. 2022

Human Brain Mapping

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Fetal motor behavior is an important clinical indicator of healthy development. However, our understanding of associations between fetal behavior and fetal brain development is limited. To fill this gap, this study introduced an approach to automatically and objectively classify long durations of fetal movement from a continuous four‐dimensional functional magnetic resonance imaging (fMRI) data set, and paired behavior features with brain activity indicated by the fMRI time series. Twelve‐minute fMRI scans were conducted in 120 normal fetuses. Postnatal motor function was evaluated at 7 and 36 months age. Fetal motor behavior was quantified by calculating the frame‐wise displacement (FD) of fetal brains extracted by a deep‐learning model along the whole time series. Analyzing only low motion data, we characterized the recurring coactivation patterns (CAPs) of the supplementary motor area (SMA). Results showed reduced motor activity with advancing gestational age (GA), likely due in part to loss of space ( r = −.51, p < .001). Evaluation of individual variation in motor movement revealed a negative association between movement and the occurrence of coactivations within the left parietotemporal network, controlling for age and sex ( p = .003). Further, we found that the occurrence of coactivations between the SMA to posterior brain regions, including visual cortex, was prospectively associated with postnatal motor function at 7 months ( r = .43, p = .03). This is the first study to pair fetal movement and fMRI, highlighting potential for comparisons of fetal behavior and neural network development to enhance our understanding of fetal brain organization.

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Neuroimaging perspectives on fetal motor behavior

Cited by 10 publications

References 168 publications

Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging

Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging

Tail movements by late-term fetal pitvipers resemble caudal luring: prenatal development of an ambush predatory behaviour

Fetal behavior during MRI changes with age and relates to network dynamics

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