Results 1 to 10 of about 1,565,125 (167)

Entropy in Brain Networks [PDF]

Entropy, 2021
A thorough and comprehensive understanding of the human brain ultimately depends on knowledge of large-scale brain organization[...]
Jesús Poza, María García, Javier Gomez-Pilar   +2 more
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Multilayer Brain Networks [PDF]

Journal of Nonlinear Science, 2018
The field of neuroscience is facing an unprecedented expanse in the volume and diversity of available data. Traditionally, network models have provided key insights into the structure and function of the brain. With the advent of big data in neuroscience, both more sophisticated models capable of characterizing the increasing complexity of the data and
Michael Vaiana, Sarah Feldt Muldoon
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Modular Brain Networks [PDF]

Annual Review of Psychology, 2016
The development of new technologies for mapping structural and functional brain connectivity has led to the creation of comprehensive network maps of neuronal circuits and systems. The architecture of these brain networks can be examined and analyzed with a large variety of graph theory tools. Methods for detecting modules, or network communities, are
Olaf, Sporns, Richard F, Betzel
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A Hidden Markov Model reveals magnetoencephalography spectral frequency-specific abnormalities of brain state power and phase-coupling in neuropathic pain

Communications Biology, 2022
A comparative analysis on resting-state magnetoencephalography data from healthy controls and patients with chronic pain reveals spectral frequency-specific dysregulation and a temporal imbalance of brain microstates in chronic neuropathic pain.
Camille Fauchon, Junseok A. Kim, Rima El-Sayed, Natalie R. Osborne, Anton Rogachov, Joshua C. Cheng, Kasey S. Hemington, Rachael L. Bosma, Benjamin T. Dunkley, Jiwon Oh, Anuj Bhatia, Robert D. Inman, Karen Deborah Davis   +12 more
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Diversity amongst human cortical pyramidal neurons revealed via their sag currents and frequency preferences

Nature Communications, 2021
The unique biophysical properties of human cortical neurons that may underlie interlaminar communication are explored. With a focus on I h and layers 2&3, 3c, and 5, the authors show that L5 pyramidal neurons are better adapted than their superficial ...
Homeira Moradi Chameh, Scott Rich, Lihua Wang, Fu-Der Chen, Liang Zhang, Peter L. Carlen, Shreejoy J. Tripathy, Taufik A. Valiante   +7 more
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Ready to detect a reversal of time's arrow: a psychophysical study using short video clips in daily scenes

Royal Society Open Science, 2023
It is generally believed that time flows in one direction and that a reversal of time's arrow would render the external world non-sensical. We evaluated our ability to tell the direction of time's arrow in a wide range of dynamic scenes in our daily life
Nao Hanyu, Kei Watanabe, Shigeru Kitazawa   +2 more
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The Potential Clinical Utility of Pressure-Based vs. Heat-Based Paradigms to Measure Conditioned Pain Modulation in Healthy Individuals and Those With Chronic Pain

Frontiers in Pain Research, 2021
Conditioned pain modulation (CPM) is a physiological measure thought to reflect an individual's endogenous pain modulation system. CPM varies across individuals and provides insight into chronic pain pathophysiology.
Rima El-Sayed, Rima El-Sayed, Camille Fauchon, Junseok A. Kim, Junseok A. Kim, Shahrzad Firouzian, Shahrzad Firouzian, Natalie R. Osborne, Natalie R. Osborne, Ariana Besik, Emily P. Mills, Anuj Bhatia, Anuj Bhatia, Karen D. Davis, Karen D. Davis, Karen D. Davis   +15 more
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Topological learning for brain networks [PDF]

The Annals of Applied Statistics, 2020
AbstractThis paper proposes a novel topological learning framework that can integrate networks of different sizes and topology through persistent homology. This is possible through the introduction of a new topological loss function that enables such challenging task. The use of the proposed loss function bypasses the intrinsic computational bottleneck
Songdechakraiwut, Tananun, Chung, Moo K.
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Small molecule inhibitors of α-synuclein oligomers identified by targeting early dopamine-mediated motor impairment in C. elegans

Molecular Neurodegeneration, 2021
Background Parkinson’s disease is a disabling neurodegenerative movement disorder characterized by dopaminergic neuron loss induced by α-synuclein oligomers.
Kevin S. Chen, Krystal Menezes, Jarlath B. Rodgers, Darren M. O’Hara, Nhat Tran, Kazuko Fujisawa, Seiya Ishikura, Shahin Khodaei, Hien Chau, Anna Cranston, Minesh Kapadia, Grishma Pawar, Susan Ping, Aldis Krizus, Alix Lacoste, Scott Spangler, Naomi P. Visanji, Connie Marras, Nour K. Majbour, Omar M. A. El-Agnaf, Andres M. Lozano, Joseph Culotti, Satoshi Suo, William S. Ryu, Suneil K. Kalia, Lorraine V. Kalia   +25 more
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Hodge Laplacian of Brain Networks

IEEE Transactions on Medical Imaging, 2023
The closed loops or cycles in a brain network embeds higher order signal transmission paths, which provide fundamental insights into the functioning of the brain. In this work, we propose an efficient algorithm for systematic identification and modeling of cycles using persistent homology and the Hodge Laplacian.
D. Vijay Anand, Moo K. Chung
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