@article {1695, title = {High-quality ultrastructural preservation using cryofixation for 3D electron microscopy of genetically labeled tissues.}, journal = {Elife}, volume = {7}, year = {2018}, month = {2018 05 11}, abstract = {

Electron microscopy (EM) offers unparalleled power to study cell substructures at the nanoscale. Cryofixation by high-pressure freezing offers optimal morphological preservation, as it captures cellular structures instantaneously in their near-native state. However, the applicability of cryofixation is limited by its incompatibility with diaminobenzidine labeling using genetic EM tags and the high-contrast staining required for serial block-face scanning electron microscopy (SBEM). In addition, it is challenging to perform correlated light and electron microscopy (CLEM) with cryofixed samples. Consequently, these powerful methods cannot be applied to address questions requiring optimal morphological preservation. Here, we developed an approach that overcomes these limitations; it enables genetically labeled, cryofixed samples to be characterized with SBEM and 3D CLEM. Our approach is broadly applicable, as demonstrated in cultured cells, olfactory organ and mouse brain. This optimization exploits the potential of cryofixation, allowing for quality ultrastructural preservation for diverse EM applications.

}, keywords = {Animal Structures, Animals, Brain, Cryopreservation, Drosophila, Imaging, Three-Dimensional, Mice, Microscopy, Electron, Scanning, Sense Organs}, issn = {2050-084X}, doi = {10.7554/eLife.35524}, author = {Tsang, Tin Ki and Bushong, Eric A and Boassa, Daniela and Hu, Junru and Romoli, Benedetto and Phan, Sebastien and Dulcis, Davide and Su, Chih-Ying and Ellisman, Mark H} } @article {1687, title = {How struggling adult readers use contextual information when comprehending speech: Evidence from event-related potentials.}, journal = {Int J Psychophysiol}, volume = {125}, year = {2018}, month = {2018 03}, pages = {1-9}, abstract = {

We investigated how struggling adult readers make use of sentence context to facilitate word processing when comprehending spoken language, conditions under which print decoding is not a barrier to comprehension. Stimuli were strongly and weakly constraining sentences (as measured by cloze probability), which ended with the most expected word based on those constraints or an unexpected but plausible word. Community-dwelling adults with varying literacy skills listened to continuous speech while their EEG was recorded. Participants, regardless of literacy level, showed N400 effects yoked to the cloze probability of the targets, with larger N400 amplitudes for less expected than more expected words. However, literacy-related differences emerged in an earlier time window of 170-300 ms: higher literacy adults produced a reduced negativity for strongly predictable targets over anterior channels, similar to previously reported effects on the Phonological Mapping Negativity (PMN), whereas low-literacy adults did not. Collectively, these findings suggest that in auditory sentence processing literacy may not notably affect the incremental activation of semantic features, but that comprehenders with underdeveloped literacy skills may be less likely to engage predictive processing. Thus, basic mechanisms of comprehension may be recruited differently as a function of literacy development-even in spoken language.

}, keywords = {Adult, Aged, Brain Mapping, Comprehension, Electroencephalography, Evoked Potentials, Female, Humans, Literacy, Male, Middle Aged, Neuropsychological Tests, Photic Stimulation, Reaction Time, Reading, Speech, Young Adult}, issn = {1872-7697}, doi = {10.1016/j.ijpsycho.2018.01.013}, author = {Ng, Shukhan and Payne, Brennan R and Stine-Morrow, Elizabeth A L and Federmeier, Kara D} } @article {168, title = {High-throughput and quantitative approaches for measuring circadian rhythms in cyanobacteria using bioluminescence.}, journal = {Methods Enzymol}, volume = {551}, year = {2015}, month = {2015}, pages = {53-72}, abstract = {

The temporal measurement of a bioluminescent reporter has proven to be one of the most powerful tools for characterizing circadian rhythms in the cyanobacterium Synechococcus elongatus. Primarily, two approaches have been used to automate this process: (1) detection of cell culture bioluminescence in 96-well plates by a photomultiplier tube-based plate-cycling luminometer (TopCount Microplate Scintillation and Luminescence Counter, Perkin Elmer) and (2) detection of individual colony bioluminescence by iteratively rotating a Petri dish under a cooled CCD camera using a computer-controlled turntable. Each approach has distinct advantages. The TopCount provides a more quantitative measurement of bioluminescence, enabling the direct comparison of clock output levels among strains. The computer-controlled turntable approach has a shorter set-up time and greater throughput, making it a more powerful phenotypic screening tool. While the latter approach is extremely useful, only a few labs have been able to build such an apparatus because of technical hurdles involved in coordinating and controlling both the camera and the turntable, and in processing the resulting images. This protocol provides instructions on how to construct, use, and process data from a computer-controlled turntable to measure the temporal changes in bioluminescence of individual cyanobacterial colonies. Furthermore, we describe how to prepare samples for use with the TopCount to minimize experimental noise and generate meaningful quantitative measurements of clock output levels for advanced analysis.

}, keywords = {Circadian Clocks, Culture Techniques, Cyanobacteria, Image Processing, Computer-Assisted, Luminescent Measurements}, issn = {1557-7988}, doi = {10.1016/bs.mie.2014.10.010}, author = {Shultzaberger, Ryan K and Paddock, Mark L and Katsuki, Takeo and Greenspan, Ralph J and Golden, Susan S} } @article {207, title = {Hippocampal signals for strong memory when associative memory is available and when it is not.}, journal = {Hippocampus}, volume = {21}, year = {2011}, month = {2011 Jan}, pages = {9-21}, abstract = {

The paired-associate task has been used with functional magnetic resonance imaging (fMRI) in studies that assessed the role of the medial temporal lobe (MTL) subserving recollection and familiarity.Some researchers have interpreted their results to mean that the hippocampus selectively subserves recollection and not familiarity[cf., Eichenbaum et al., (2007) Annu Rev Neurosci 30:123{\textendash}152]. Yet many of these results confound recollection and familiarity with strong and weak memories, and it is not clear whether the conclusions represent differences between memory processes or memory strength. In the current study, participants were scanned with fMRI during retrieval in a paired-associate task, and a new approach separated the analysis of memory strength from the analysis of memory processes. The data were sorted by confidence level in an old/new task, and the high-confidence responses were compared in categories when associative memory was highly accurate and when it was not available. The results show that high-confidence memory produced increased activity in the hippocampus,relative to the level for forgotten pairs, both when associative memory was available and when it was not. Two interpretations are discussed for the behavioral results for when associative memory was not available: one account based on familiarity and the other account based on noncriterial recollection. The conclusion is that recognition of the word-pairs was based on familiarity when associative memory was not available. Together with the fMRI results that activity in two regions associated with cognitive control (left ventrolateral prefrontal cortex and left inferior parietal lobule) was greater when responses were based on associative memory than when based on familiarity, the findings suggest that the hippocampus supports strong memory and that cortical regions make an additional contribution to recollection.

}, keywords = {Brain Mapping, Female, Hippocampus, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Memory}, issn = {1098-1063}, doi = {10.1002/hipo.20716}, author = {Wais, Peter E} } @book {156, title = {How Genes Influence Behavior}, year = {2010}, publisher = {Oxford University Press}, organization = {Oxford University Press}, address = {London \& New York}, abstract = {

How important are genetic influences on behavior?
How many genes influence an individual behavior, and how much influence does a single gene have?\ 
How do genes interact with the environment to influence the development of behavioral traits?
What are the differences between humans and {\textquoteright}simpler{\textquoteright} organisms when it comes to the genetic control of behavior?\ 

How Genes Influence Behavior is a unique introduction to behavioral genetics, which combines conceptual rigor with accessibility to answer questions such as these--answers that carry important implications for the nature of who we are.\ 

Offering unparalleled insights into how behavioral genetics is probed through real-world research, it considers evidence from humans and the major model organisms of mouse, fruit-fly and nematode worm to demonstrate how much of our current understanding of the genetic basis of human behavior stems from our exploration of other animals. Further, it uses these studies to connect the key themes of the book--the nature of gene action, and the inter-relationship of genetic and environmental influences on behavior-across organisms, highlighting key commonalities and differences.

The book also shows the major impact that neurobiology is having on our understanding of the field, to give a true depiction of behavioral genetics in the 21st century. However, care is taken throughout not to overwhelm the reader with scientific detail. Instead, the authors make the book fun to read without sacrificing accuracy or devaluing the complexity of the subject matter: they {\textquoteright}personalize{\textquoteright} the science, mixing more standard narrative with biographical details to make the subject come alive.\ 

With the media filled with talk of the discovery of genes {\textquoteright}for{\textquoteright} an array of human behaviors, there has never been a more pressing need for today{\textquoteright}s students--tomorrow{\textquoteright}s researchers--to be equipped with a clear, balanced view of the field. How Genes Influence Behavior is the perfect guide for all students, delivered in the words of three researchers who have witnessed first-hand the emergence of this fascinating field, and whose own investigations have been central to our current understanding of it.

}, isbn = {9780199559909}, url = {https://www.amazon.com/Genes-Influence-Behavior-Jonathan-Flint/dp/0199559902}, author = {Flint, Jonathan and Greenspan, Ralph J and Kendler, Kenneth S} }