Graph theoretical quantification of white matter reorganization after cortical stroke in mice

Pallast, Niklas; Wieters, Frederique; Nill, Marieke; Fink, Gereon R.; Aswendt, Markus

doi:10.1016/j.neuroimage.2020.116873

Cited by 22 publications

(18 citation statements)

References 52 publications

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“…For each panel we show a row of images using the AMBCA anterograde tracer (AAV1-GFP, green) followed by a row showing dMRI tractography (blue–red) overlaid on top of the anterograde tracing. It is important to note that complete overlap is not expected as dMRI tractography examines tracks that are bi-directional vs. anterograde tracing seen with AAV-GFP ( Maier-Hein et al, 2017 , Pallast et al, 2020 ). In addition, the AMBCA tracing was done with AAV1 ( Oh et al, 2014 ) which has some retrograde transport component ( Murlidharan et al, 2014 ), further complicating the comparison with dMRI.…”

Section: Resultsmentioning

confidence: 99%

Early life stress causes sex-specific changes in adult fronto-limbic connectivity that differentially drive learning

White

Arefin

Pugliese

et al. 2020

eLife

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It is currently unclear whether early life stress (ELS) affects males and females differently. However, a growing body of work has shown that sex moderates responses to stress and injury, with important insights into sex-specific mechanisms provided by work in rodents. Unfortunately, most of the ELS studies in rodents were conducted only in males, a bias that is particularly notable in translational work that has used human imaging. Here we examine the effects of unpredictable postnatal stress (UPS), a mouse model of complex ELS, using high resolution diffusion magnetic resonance imaging. We show that UPS induces several neuroanatomical alterations that were seen in both sexes and resemble those reported in humans. In contrast, exposure to UPS induced fronto-limbic hyper-connectivity in males, but either no change or hypoconnectivity in females. Moderated-mediation analysis found that these sex-specific changes are likely to alter contextual freezing behavior in males but not in females.

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Section: Resultsmentioning

confidence: 99%

Early life stress causes sex-specific changes in adult fronto-limbic connectivity that differentially drive learning

White

Arefin

Pugliese

et al. 2020

eLife

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“…DTI, which can characterize the orientation and integrity of white matter, has been widely used in preclinical neurological studies for its ability to reconstruct white matter track pathways, and derive diffusion parameters which are particularly useful for the diagnosis and characterization of brain diseases [ 53 , 54 ]. DTI analysis has been popular for neuroscientists to identify brain connectivity and quantify tractographic-derived connectivity strengths between brain structural regions [ 55 , 56 , 57 ].…”

Section: Discussionmentioning

confidence: 99%

Deterministic Tractography Analysis of Rat Brain Using SIGMA Atlas in 9.4T MRI

Suh

Shim

et al. 2021

Brain Sciences

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Preclinical studies using rodents have been the choice for many neuroscience researchers due totheir close reflection of human biology. In particular, research involving rodents has utilized MRI to accurately identify brain regions and characteristics by acquiring high resolution cavity images with different contrasts non-invasively, and this has resulted in high reproducibility and throughput. In addition, tractographic analysis using diffusion tensor imaging to obtain information on the neural structure of white matter has emerged as a major methodology in the field of neuroscience due to its contribution in discovering significant correlations between altered neural connections and various neurological and psychiatric diseases. However, unlike image analysis studies with human subjects where a myriad of human image analysis programs and procedures have been thoroughly developed and validated, methods for analyzing rat image data using MRI in preclinical research settings have seen significantly less developed. Therefore, in this study, we present a deterministic tractographic analysis pipeline using the SIGMA atlas for a detailed structural segmentation and structural connectivity analysis of the rat brain’s structural connectivity. In addition, the structural connectivity analysis pipeline presented in this study was preliminarily tested on normal and stroke rat models for initial observation.

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“…When examined using the whole brain FA networks, edge weights and network global efficiency tended to contribute to most of the behavioral measures. This finding could represent the possibility that individual variation in the myriad nearby, short-distance connections such as u-fibers and direct connections are relevant to mediating recovery [20,90]. U-fibers dominate the brain's white matter but their links to cognition are conspicuously understudied [91].…”

Section: Discussionmentioning

confidence: 99%

Simulated attack reveals how lesions affect network properties in post-stroke aphasia

Medaglia

Erickson²,

Pustina

et al. 2021

Preprint

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Aphasia is one of the most prevalent cognitive syndromes caused by stroke. The rarity of premorbid imaging and heterogeneity of lesion size and extent obfuscates the links between the local effects of the lesion, global anatomical network organization, and aphasia symptoms. We applied a simulated attack approach to examine the effects of 39 stroke lesions on network topology by simulating their effects in a control sample of 36 healthy brain networks. We focused on measures of global network organization thought to support overall brain function and resilience in the whole brain and within the left hemisphere. After removing lesion volume from the network topology measures and behavioral scores (the Western Aphasia Battery Aphasia Quotient; WAB-AQ), four behavioral factor scores obtained from a neuropsychological battery, and a factor sum), we compared the behavioral variance accounted for by simulated post-stroke connectomes to that observed in the randomly permuted data. Overall, global measures of network topology in the whole brain and left hemisphere accounted for 10% variance or more of the WAB-AQ and the lexical factor score beyond lesion volume and null permutations. Streamline networks provided more reliable point estimates than FA networks. Edge weights and network efficiency were weighted most highly in predicting the WAB-AQ for FA networks. Overall, our results suggest that global network measures can provide modest statistical value predicting overall aphasia severity, but less value in predicting specific behaviors. Variability in estimates could be induced by premorbid ability, deafferentation and diaschisis, and neuroplasticity following stroke.

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Graph theoretical quantification of white matter reorganization after cortical stroke in mice

Cited by 22 publications

References 52 publications

Early life stress causes sex-specific changes in adult fronto-limbic connectivity that differentially drive learning

Early life stress causes sex-specific changes in adult fronto-limbic connectivity that differentially drive learning

Deterministic Tractography Analysis of Rat Brain Using SIGMA Atlas in 9.4T MRI

Simulated attack reveals how lesions affect network properties in post-stroke aphasia

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