Nanotools for Neuroscience and Brain Activity Mapping by Alivisatos, A. Paul, Andrews, Anne M., Chun, Miyoung, Church, George M., Deisseroth, Karl, Donoghue, John P., Fraser, Scott E., Lippincott-Schwartz, Jennifer, Looger, Loren L., Masmanidis, Sotiris C., McEuen, Paul L., Nurmikko, Arto V., Park, Hongkun, Peterka, Darcy S., Reid, Clay, Roukes, Michael L., Scherer, Axel, Schnitzer, Mark, Sejnowski, Terrence J., Shepard, Kenneth L., Tsao, Doris, Turrigiano, Gina, Weiss, Paul S., Xu, Chris, Yuste, Rafael, Zhuang, Xiaowei, Boyden, Edward

“…We and others refer to this goal as the Brain Activity Mapping Project. In this Nano Focus, we discuss how recent developments in nanoscale analysis tools and in the design and synthesis of nanomaterials have generated optical, electrical, and chemical methods that can readily be adapted for use in neuroscience. …”
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Optical and computational approaches for mapping brain activity and structure by Yoon, Young Gyu

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Purely optical tomography : atlas-based reconstruction of brain activation by Custo, Anna

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Anatomical atlas-guided diffuse optical tomography of brain activation by Custo, Anna, Boas, David A., Tsuzuki, Daisuke, Dan, Ippeita, Mesquita, Rickson, Fischl, Bruce, Wells, William M.

“…The results indicate that using the head atlas anatomy it is possible to reconstruct the location of the brain activation to the expected gyrus of the brain, in agreement with the results obtained with the subject-specific head anatomy. …”
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Categories and functional units: An infinite hierarchical model for brain activations by Lashkari, Danial, Sridharan, Ramesh, Golland, Polina

“…The model explicitly encodes the relationship between brain activations and fMRI time courses. A variational inference algorithm derived based on the model learns categories, units, and a set of unit-category activation probabilities from data. …”
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Mapping Social Behavior-Induced Brain Activation at Cellular Resolution in the Mouse by Kim, Yongsoo, Venkataraju, Kannan Umadevi, Pradhan, Kith, Mende, Carolin, Taranda, Julian, Turaga, Srinivas C., Arganda-Carreras, Ignacio, Ng, Lydia, Hawrylycz, Michael J., Rockland, Kathleen S., Seung, H. Sebastian, Osten, Pavel, Turaga, Srinivas C., Seung, H. Sebastian

“…Understanding how brain activation mediates behaviors is a central goal of systems neuroscience. …”
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Toward a universal decoder of linguistic meaning from brain activation by Pereira, Francisco, Lou, Bin, Ritter, Samuel, Gershman, Samuel J., Botvinick, Matthew, Pritchett, Brianna L, Kanwisher, Nancy, Fedorenko, Evelina G

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Brain activity and cognition: a connection from thermodynamics and information theory by Fauquet, Jordi, Collell Talleda, Guillem

“…A crucial point to our work is noticing that thermodynamics provides a convenient framework to model brain activity, whereas cognition can be modeled in information-theoretical terms. …”
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Detecting stable distributed patterns of brain activation using Gini contrast by Langs, Georg, Menze, Bjoern H., Lashkari, Danial, Golland, Polina

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An implantable piezoelectric ultrasound stimulator (ImPULS) for selective deep brain activation by Hou, Jason F.

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Exploration of the influence of emotionally primed environments on creativity and related patterns of brain activity by Yue, Shuai, S.M. Massachusetts Institute of Technology

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Brain activity and connectivity differences in reward value discrimination during effort computation in schizophrenia by Pretus, Clara, Bergé, Daniel, Guell, Xavier, Pérez, Victor, Vilarroya, Óscar

“…Each trial demanded an initial investment of effort in form of key presses to increase the odds of winning. Brain activity in response to different reward cues (1 euro versus 1 cent) was compared between groups. …”
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Brain activity and connectivity differences in reward value discrimination during effort computation in schizophrenia by Pretus, Clara, Bergé, Daniel, Guell, Xavier, Pérez, Victor, Vilarroya, Óscar

“…Each trial demanded an initial investment of effort in form of key presses to increase the odds of winning. Brain activity in response to different reward cues (1 euro versus 1 cent) was compared between groups. …”
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Similar Brain Activation during False Belief Tasks in a Large Sample of Adults with and without Autism by Dufour, Nicholas Paul, Redcay, Elizabeth, Young, Liane, Moran, Joseph M., Triantafyllou, Christina, Gabrieli, John D. E., Rushton, Penelope Mavros, Saxe, Rebecca R.

“…Reading about another person’s beliefs engages ‘Theory of Mind’ processes and elicits highly reliable brain activation across individuals and experimental paradigms. …”
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Using Dynamics of Eye Movements, Speech Articulation and Brain Activity to Predict and Track mTBI Screening Outcomes by Williamson, James R., Sturim, Doug, Vian, Trina, Lacirignola, Joseph, Shenk, Trey E., Yuditskaya, Sophia, Rao, Hrishikesh M., Talavage, Thomas M., Heaton, Kristin J., Quatieri, Thomas F.

“…These results indicate the potential to predict cognitive performance from passive monitoring of fine motor movements and brain activity, offering initial support for future application in detection of performance deficits associated with subconcussive events.…”
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Altered working memory-related brain activity in children at familial high risk for psychosis: A preliminary study by van Gool, Kevin CA, Collin, Guusje, Bauer, Clemens CC, Molokotos, Elena, Mesholam-Gately, Raquelle I, Thermenos, Heidi W, Seidman, Larry J, Gabrieli, John DE, Whitfield-Gabrieli, Susan, Keshavan, Matcheri S

“…There were no significant group-differences in n-back task performance and brain activation. The precuneus cluster was not correlated with n-back performance or WISC WM scores. …”
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Adaptive filtering to reduce global interference in evoked brain activity detection: a human subject case study by Zhang, Quan, Brown, Emery N., Strangman, Gary E.

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Entorhinal cortex volume is associated with episodic memory related brain activation in normal aging and amnesic mild cognitive impairment by Trivedi, Mehul A., Stoub, Travis R., Murphy, Christopher M., George, Sarah, deToledo-Morrell, Leyla, Shah, Raj C., Gabrieli, Susan, Gabrieli, John D. E., Stebbins, Glenn T.

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Adaptive filtering for global interference cancellation and real-time recovery of evoked brain activity: a Monte Carlo simulation study by Zhang, Quan, Brown, Emery N., Strangman, Gary E.

“…The sensitivity of near-infrared spectroscopy (NIRS) to evoked brain activity is reduced by physiological interference in at least two locations: 1. the superficial scalp and skull layers, and 2. in brain tissue itself. …”
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Decoding Neural Processing of Linguistic Features From Large-Scale Intracranial Recordings and Naturalistic Language Stimuli by Rosenfarb, Dana

“…Using data from the Brain TreeBank, a large-scale multimodal dataset of recorded brain activity, we fit Generalized Linear Models (GLM) to map language and vision stimuli to induced brain activity. …”
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