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The TPDA offers undergraduate and graduate students and postdoctoral fellows assistance to participate in Neuroscience 2020, including presenting abstracts and networking with senior scientists. Applications are now open!

 

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Location of imaged dorsal horn neurons shown through schematics and images. (See Fig. 2 in paper)
JNeurosci
Jun 02, 2020
Dendritic Spine Dynamics after Peripheral Nerve Injury:
An Intravital Structural Study
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Attention-deficit/hyperactivity disorder (ADHD) is a developmental disorder characterized by difficulty to control the own behavior. Neuroimaging studies have related ADHD with the interplay of fronto-parietal attention systems with the default mode network (DMN; Castellanos and Aoki, 2016). However, some results have been inconsistent, potentially due to methodological differences in the analytical strategies when defining the brain functional network, i.e., the functional connectivity threshold and/or the brain parcellation scheme. Here, we make use of topological data analysis (TDA) to explore the brain connectome as a function of the filtration value (i.e., the connectivity threshold), instead of using a static connectivity threshold. Specifically, we characterized the transition from all nodes being isolated to being connected into a single component as a function of the filtration value. We explored the utility of such a method to identify differences between 81 children with ADHD (45 male, age: 7.26–17.61 years old) and 96 typically developing children (TDC; 59 male, age: 7.17–17.96 years old), using a public dataset of resting state (rs)fMRI in human subjects. Results were highly congruent when using four different brain segmentations (atlases), and exhibited significant differences for the brain topology of children with ADHD, both at the whole-brain network and the functional subnetwork levels, particularly involving the frontal lobe and the DMN. Therefore, this is a solid approach that complements connectomics-related methods and may contribute to identify the neurophysio-pathology of ADHD.
eNeuro
Jun 02, 2020
Novel Topological Analysis in ADHD
A simple and robust method to explore individual connectomes with Topological Data Analysis. 
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Jun 02, 2020
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BrainFacts.org
Jun 02, 2020
What the Brain of a 104-Year-Old Nun Taught Us About Vascular Dementia
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