Transdermal Physostigmine—Absence of Effect on Topographic Brain Mapping by M. Y. Neufeld, F. Mawassi, A. Levy, T. A. Treves, A. D. Korczyn

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Brain mapping, biomarker identification and using machine learning method for diagnosis of anxiety during emotional face in preschool children by Samira Jafari, Hamid Sharini, Aliakbar Foroughi, Afshin Almasi

“…Background: Due to the importance and the consequences of anxiety, the goals of the current study are brain mapping, biomarker identification and the use of an assessment method for diagnosis of anxiety during emotional face in preschool children. …”
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Ultra high density imaging arrays in diffuse optical tomography for human brain mapping improve image quality and decoding performance by Zachary E. Markow, Jason W. Trobaugh, Edward J. Richter, Kalyan Tripathy, Sean M. Rafferty, Alexandra M. Svoboda, Mariel L. Schroeder, Tracy M. Burns-Yocum, Karla M. Bergonzi, Mark A. Chevillet, Emily M. Mugler, Adam T. Eggebrecht, Joseph P. Culver

“…Abstract Functional magnetic resonance imaging (fMRI) has dramatically advanced non-invasive human brain mapping and decoding. Functional near-infrared spectroscopy (fNIRS) and high-density diffuse optical tomography (HD-DOT) non-invasively measure blood oxygen fluctuations related to brain activity, like fMRI, at the brain surface, using more-lightweight equipment that circumvents ergonomic and logistical limitations of fMRI. …”
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From non-human to human primates: a translational approach to enhancing resection, safety, and indications in glioma surgery while preserving sensorimotor abilities by Matteo Gambaretti, Matteo Gambaretti, Luca Viganò, Luca Viganò, Matteo Gallo, Giovanni Pratelli, Tommaso Sciortino, Lorenzo Gay, Marco Conti Nibali, Alberto Luigi Gallotti, Alberto Luigi Gallotti, Leonardo Tariciotti, Luca Mattioli, Lorenzo Bello, Lorenzo Bello, Gabriella Cerri, Gabriella Cerri, Marco Rossi, Marco Rossi, Marco Rossi

Subjects: “…brain mapping…”
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Exploratory Data Analysis Methods for Functional Magnetic Resonance Imaging (fMRI): A Comprehensive Review of Software Programs Used in Research by Hussain A. Jaber, Basma A. Al-Ghali, Muna M. Kareem, Ilyas Çankaya, Oktay Algin

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Investigating resting-state functional connectivity changes within procedural memory network across neuropsychiatric disorders using fMRI by Mahdi Mohammadkhanloo, Mohammad Pooyan, Hamid Sharini, Mitra Yousefpour

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Preoperative mapping techniques for brain tumor surgery: a systematic review by Augusto Leone, Augusto Leone, Francesco Carbone, Francesco Carbone, Uwe Spetzger, Peter Vajkoczy, Giovanni Raffa, Flavio Angileri, Antonino Germanó, Melina Engelhardt, Thomas Picht, Thomas Picht, Antonio Colamaria, Tizian Rosenstock, Tizian Rosenstock

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Editorial: Exploring the future of neurology: how AI is revolutionizing diagnoses, treatments, and beyond by Rafeed Alkawadri, James M. Hillis, Eishi Asano

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BOLD Noise Assumptions in fMRI by Alle Meije Wink, Jos B. T. M. Roerdink

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RegBoost: Enhancing mouse brain image registration using geometric priors and Laplacian interpolation by Atchuth Naveen Chilaparasetti, Andy Thai, Pan Gao, Xiangmin Xu, M. Gopi

“…We expect our new approach and algorithms will have critical applications in brain mapping projects.…”
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An MRI Deep Brain Adult Template With An Advanced Atlas-Based Tool For Diffusion Tensor Imaging Analysis by Jean-Jacques Lemaire, Rémi Chaix, Aigerim Dautkulova, Anna Sontheimer, Jérôme Coste, Ana-Raquel Marques, Adrien Wohrer, Carine Chassain, Omar Ouachikh, Omar Ait-Aider, Denys Fontaine

“…Here we took a transdisciplinary approach to build a new deep-brain MRI architecture atlas drawing on advanced clinical experience of MRI-based deep brain mapping. This new tool comprises a young-male-adult MRI template spatially normalized to the ICBM152, containing T1, inversion-recovery, and diffusion MRI datasets (in vivo acquisition), and an MRI atlas of 118 labelled deep brain structures. …”
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Task-Driven Neurophysiological qEEG Baseline Performance Capabilities in Healthy, Uninjured Division-I College Athletes. by Robert E. Mangine, Thomas G. Palmer, James A. Tersak, Michael Mark, Joseph F Clark, Marsha Eifert-Mangine, Audrey Hill-Lindsay, Brian M Grawe

“…Quantitative electroencephalography or qEEG brain mapping is a unique, real-time comprehensive assessment of brain electrical activity performed in combination with physiometrics which offers insight to neurophysiological brain-to-body function. …”
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Atypical early neural responses to native and non-native language in infants at high likelihood for developing autism by Lauren Wagner, Megan Banchik, Tawny Tsang, Nana J. Okada, Rebecca Altshuler, Nicole McDonald, Susan Y. Bookheimer, Shafali S. Jeste, Shulamite Green, Mirella Dapretto

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Trajectory of peripheral inflammation during index ECT in association with clinical outcomes in treatment-resistant depression by Christina M. Hough, Jennifer L. Kruse, Randall T. Espinoza, John O. Brooks, III, Eliza J. Congdon, Viviane Norris, Michelle G. Craske, Katherine L. Narr

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Mapping hippocampal glutamate in healthy aging with in vivo glutamate-weighted CEST (GluCEST) imaging by Maggie K. Pecsok, Heather Robinson, Ally Atkins, Monica E. Calkins, Monica E. Calkins, Mark A. Elliott, Arianna Mordy, Jacquelyn Stifelman, Ruben C. Gur, Ruben C. Gur, Paul J. Moberg, Ravi Prakash Reddy Nanga, Kosha Ruparel, Kosha Ruparel, Russell T. Shinohara, David A. Wolk, Ravinder Reddy, David R. Roalf, David R. Roalf

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Exploring the role of electrode density in capturing spatiotemporal dynamics of resting-state networks with EEG by Matheus Mangini Bertuzzo, Rodrigo P Rocha, Ricardo Spyrídes Boabaid Pimentel Gonçalves, Adair Roberto Soares Dos Santos, Odival Cezar Gasparotto

“…Point process analysis was employed to identify regions of high activity over time, revealing dynamic brain salient activity patterns, or brain maps. We evaluated the impact of electrode density by comparing 64-channel and 20-channel configurations and found that both configurations yielded similar and consistent brain maps. …”
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Domain‐Specific Prediction of Clinical Progression in Parkinson's Disease Using the Mosaic Approach by Marlene Tahedl, Ulrich Bogdahn, Bernadette Wimmer, Dennis M. Hedderich, Jan S. Kirschke, Claus Zimmer, Benedikt Wiestler

“…The restricted, extremity‐specific MAP yielded higher explanatory power for extremity‐specific motor function at baseline as opposed to the unrestricted, whole‐brain MAP. On the contrary, for general motor function, the unrestricted, whole‐brain MAP yielded higher power. …”
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Searching for the cellular underpinnings of the selective vulnerability to tauopathic insults in Alzheimer’s disease by Justin Torok, Pedro D. Maia, Chaitali Anand, Ashish Raj

“…However, the cellular underpinnings of regional vulnerability are poorly understood, in part because whole-brain maps of a comprehensive collection of cell types have been inaccessible. …”
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Elucidating the Effects of Sleep Deprivation: Exploring fMRI Imaging Biomarkers to Analyze Brain Functions Related to Insomnia by Yazdan Choghazardi, Fateme Sabzevarian, Korosh Saber, Meysam Siyah Mansoory, Mehdi Khodamoradi, Hamid Sharini

“…Background: This study aimed to propose functional magnetic resonance imaging (fMRI) imaging biomarkers for the diagnosis of insomnia by examining the brain maps of young and old people during sleep deprivation (SD). …”
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Aesthetic evaluation underpinning brand love relationship development: an activation likelihood estimation meta-analysis and multivariate analysis by Shinya Watanuki

“…We adopted three major meta-analytic decoding analysis modules to objectively interpret these brain regions, namely, Neurosynth, NeuroQuery, and the Behavioral Analysis plugin (BrainMap platform). Moreover, we performed a correspondence analysis to identify relationships of mental processes between aesthetic experiences and brand love in each developmental stage of brand love.FindingsOur results suggest that the same neural mechanism and mental processes may be underlaid between brand love and aesthetic experiences across all stages. …”
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