Papers for the month of January 2019


Marek S, Tervo-Clemmens B, Klein N, Foran W, Ghuman AS, Luna B.

"Adolescent development of cortical oscillations: Power, phase, and support of cognitive maturation."
PLoS Bio, 16:1-29

Mouse over here for a brief summary or click to open article in a new tab.MEG resting state showed that through adolescence to adulthood there is decoupling withing cognitive networks supporting cognitive flexibility and cognitive control.


Ruben Sanchez-Romero , Joseph D. Ramsey, Kun Zhang, Madelyn R. K. Glymour, Biwei Huang

"Estimating feedforward and feedback effective connections from fMRI time series: Assessments of statistical methods "
Network Neuroscience, 0:1-33

Mouse over here for a brief summary or click to open article in a new tab.We test the adequacies of several proposed and two new statistical methods for recovering the causal structure of systems with feedback from synthetic BOLD time series. The methods with the best performance on simulations were applied to empirical resting-state and task fMRI.


Palacios-Barrios, Esther

"Poverty and self-regulation: Connecting psychosocial processes, neurobiology, and the risk for psychopathology"
Comprehensive Psychiatry, 90:52-64

Mouse over here for a brief summary or click to open article in a new tab.We propose a starting framework focused on the neural correlates of self-regulation, and discuss recent work relating poverty to alterations in brain regions related to self-regulation.


Lehet M., Woods, A., Chatterjee, A.

"Time Is Not More Abstract Than Space in Sound"
Frontiers in Psychology, 10:48

Mouse over here for a brief summary or click to open article in a new tab.Results overall suggest that the perceptual asymmetry between spatial and temporal domains does not necessarily generalize across modalities, and that time is not generally more abstract than space.


Keller, T.

"Converging measures of neural change at the microstructural, informational, and cortical network levels in the hippocampus during the learning of the structure of organic compounds. "
Brain Structure and Function, 223:1-13

Mouse over here for a brief summary or click to open article in a new tab.This study of non-chemistry college students learning the names and molecular structures of 9 organic compounds (such as the ethanol) acquired three indices of neural change: fMRI/MVPA measures of the location of the newly acquired concepts, fcMRI measures of functional connectivity change, and MR-diffusion measures of diffusivity change. These three measures all converged on a 1.3 cubic cm of hippocampal volume that showed evidence of informational, network, and microstructural change, respectively.


Elizondo-Garcia, J., Gallardo, K.

"Quality of Peer Feedback in relation to Instructional Design: A Comparative Study in Energy and Sustainability MOOCs"
International Journal of Instruction, 12:1025-1040

Mouse over here for a brief summary or click to open article in a new tab.Peer feedback has become a common practice in MOOCs for its capacity to scale formative assessment and feedback on higher-order abilities. This study aimed to improve understanding of the relationship between quality of feedback and peer-feedback’ pedagogical design. Peer feedback instructional design and peer feedback comment data were examined from two MOOCS in a similar domain of personal relevance but with substantially different designs. Differences between the two courses were observed in both the pedagogical designs and in the focus of peer comments, suggesting that peer feedback design is an important guide for the focus of peer feedback comments. Furthermore, the results support the idea that instructional design features, mainly the guide’ structure and focus, determine the type of comments that participants will produce and hence receive.


Marshman, E. M., Kalender, Z. Y., Nokes-Malach, T., Singh, C.

"Female students with As have similar physics self-efficacy as male students with Cs in introductory courses: A cause for alarm?"
Physical Review Physics Education Research, 14(2):0

Mouse over here for a brief summary or click to open article in a new tab.Self-efficacy can affect performance, career goals, and persistence. Prior studies show that female students have lower self-efficacy than male students in various science, technology, engineering, and mathematics (STEM) domains, and the self-efficacy gap is a factor that contributes to the low representation of female students in STEM. This study examines the self-efficacy of male and female students with similar performance in introductory physics courses and investigates whether gender gaps in self-efficacy are persistent across different instructors and course formats. Students’ achievement was measured by their performance on research-based conceptual physics tests and course grades. We found that female students had lower self-efficacy than male students at all performance levels in both physics 1 and physics 2. The self- efficacy gaps continued to grow throughout the introductory physics course sequence, regardless of course format (i.e., traditional or flipped) and instructor. The findings suggest that female students’ self-efficacy was negatively impacted by their experiences in introductory physics courses, and this result is persistent across various instructors and course formats. Female students’ lower self-efficacy compared to similarly performing male students can result in detrimental short-term and long-term impacts.


Huang, Y., Rich, M.

"Plasticity at Thalamo-amygdala Synapses Regulates Cocaine-Cue Memory Formation and Extinction"
Cell Reports, 26:1010

Mouse over here for a brief summary or click to open article in a new tab. In this study, we used a cocaine+cue self-administration paradigm followed by cue re-exposure to establish that the strength of the drug cue association corresponds to the strength of synapses between the medial geniculate nucleus (MGN) of the thalamus and the lateral amygdala (LA). Furthermore, we demonstrate, via optogenetically induced LTD of MGN-LA synapses, that reversing cocaine-induced potentiation of this pathway is sufficient to inhibit cue-induced relapse-like behavior.


Parrish, J., Bertholomey, M., Speth, R., Pang, H.

"Estradiol modulation of the renin-angiotensin system and the regulation of fear extinction"
Translational Psychiatry, 9:36

Mouse over here for a brief summary or click to open article in a new tab.We found that females with low levels of estradiol have impaired recall of extinction of a fear memory and evidence of increased signaling by the renin-angiotensin system. Inhibition of the angiotensin II type 1 receptor during fear extinction was sufficient to rescue fear extinction deficits produced by low estradiol and suggest that AT1R antagonists could be useful adjunctive therapies for disorders of heightened fear and anxiety in women with low levels of estrogen.


Sombric, Carly J., Calvert, Jonathan S.

"Large propulsion demands increase locomotor adaptation at the expense of step length symmetry"
Frontiers in Physiology, 10:60

Mouse over here for a brief summary or click to open article in a new tab.This paper examined the impact of kinetic demands on locomotor adaptation. We found that the extent of adaptation is regulated by kinetic demands, rather than symmetric gait as previously thought.


Neumann WJ, Blankertz B, Mitchell T, Kühn AA, Richardson RM

"Toward electrophysiology-based intelligent adaptive deep brain stimulation for movement disorders"
Neurotherapeutics, 0:0

Mouse over here for a brief summary or click to open article in a new tab.Deep brain stimulation (DBS) represents one of the major clinical breakthroughs in the age of translational neuroscience. Currently, stimulation pulses are delivered chronically in open-loop fashion after optimal stimulation parameters are determined on a patient-specific basis by a movement disorders specialist. The discovery that disease-specific pathological neural activity can be sampled directly from the target region using the DBS electrode has inspired a novel DBS paradigm: closed-loop adaptive DBS (aDBS). This paper reviews current efforts to identify pathological and physiologically-normal patterns of neuronal activity and how they can be used to adjust stimulation parameters to meet the concurrent therapeutic demand.


Williamson, Ryan; Smith, Matthew; Doiron, Brent

"Bridging large-scale neuronal recordings and large-scale network models using dimensionality reduction"
Current Opinion in Neurobiology, 55:40-47

Mouse over here for a brief summary or click to open article in a new tab.A long-standing goal in neuroscience has been to bring together neuronal recordings and neural network modeling to understand brain function. We review here recent studies that have begun to relate neuronal recordings and network models based on the multi-dimensional structure of neuronal population activity, as identified using dimensionality reduction.

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