Authors: Jatupong Oboun, Piyanon Charoenpoonpanich, Anna Raksapatcharawong, Chaipat Chunharas, Itthi Chatnuntawech, Chainarong Amornbunchornvej, Sirawaj Itthipuripat
arXiv
Mild Cognitive Impairment (MCI) is a critical transitional stage between normal cognitive aging and dementia, making its early detection essential. This study investigates the neural mechanisms of dis...
Authors: CĂ©line Bougel, SĂ©bastien DĂ©jean, Caroline Giulioli, Philippe Saint-Pierre, Nicolas Savy, Sandrine Andrieu
arXiv
Background: Clinical trials are designed to prove the efficacy of an intervention by means of model-based approaches involving parametric hypothesis testing. Issues arise when no effect is observed in...
Authors: Ji Xia, Yizi Zhang, Shuqi Wang, Genevera I. Allen, Liam Paninski, Cole Lincoln Hurwitz, Kenneth D. Miller
arXiv
Characterizing interactions between brain areas is a fundamental goal of systems neuroscience. While such analyses are possible when areas are recorded simultaneously, it is rare to observe all combin...
Authors: Rahul Biswas, SuryaNarayana Sripada, Somabha Mukherjee, Reza Abbasi-Asl
arXiv
Identifying causal interactions in complex dynamical systems is a fundamental challenge across the computational sciences. Existing functional connectivity methods capture correlations but not causati...
Authors: Hamed Nejat, Alexander Maier, Jesse Spencer-Smith, André M. Bastos
arXiv
Fragmentation is common in interdisciplinary fields with diverse methods and theoretical commitments. Predictive coding neuroscience is a clear example: its literature spans computational theory, elec...
Authors: Md. Taksimul Ahsan Tawhid, Nasif Ahmed Rafe, Alif Tahmid Priyom, K. M. Mustafizur Rahman
arXiv
The functional organization of the brain relies on coordinated activity across spatially distributed regions, making the analysis of inter-regional dependencies fundamental. Existing connectivity meas...
Authors: Anastasiia Malinovskaia
arXiv
The primary goal of this paper is to develop a method that quantifies how activity in one brain region can explain future activity in another region. Here, we propose the mixed effects spectral vector...
Authors: Chaitanya Goswami, Pulkit Grover
arXiv
There has been tremendous interest in designing stimuli (e.g. electrical currents) that produce desired neural responses, e.g., for inducing therapeutic effects for treatments. Traditionally, the desi...
Authors: Vittorio Lippi, Christoph Maurer, Thomas Mergner
arXiv
Upright stance tested with a superposition of support surface tilt and translation. Steady state response is characterized by frequency response function. Interaction between two stimuli absent in mos...
Authors: William Consagra, Martin Cole, Xing Qiu, Zhengwu Zhang
arXiv
Brain structural networks are often represented as discrete adjacency matrices with elements summarizing the connectivity between pairs of regions of interest (ROIs). These ROIs are typically determin...
Authors: Ganchao Wei, Ian H. Stevenson
arXiv
In many areas of the brain, neural spiking activity covaries with features of the external world, such as sensory stimuli or an animal's movement. Experimental findings suggest that the variability of...
Authors: Ganchao Wei, Ian H. Stevenson, Xiaojing Wang
arXiv
With advances in neural recording techniques, neuroscientists are now able to record the spiking activity of many hundreds of neurons simultaneously, and new statistical methods are needed to understa...
Authors: Wonsang You, Joerg Stadler
arXiv
The most studies on functional connectivity have been done by analyzing the brain's hemodynamic response to a stimulation. On the other hand, the low-frequency spontaneous fluctuations in the blood ox...
Authors: Matthew Dowling, Yuan Zhao, Il Memming Park
arXiv
Latent Gaussian process (GP) models are widely used in neuroscience to uncover hidden state evolutions from sequential observations, mainly in neural activity recordings. While latent GP models provid...
Authors: Mengxin Li, Wei-Liem Loh
arXiv
A common way of studying the relationship between neural activity and behavior is through the analysis of neuronal spike trains that are recorded using one or more electrodes implanted in the brain. E...