Results 61 to 70 of about 383 (157)

Topologically Optimized Intrinsic Brain Networks

Human Brain Mapping, Volume 46, Issue 17, 01 December 2025.
Using the innate topological information from referenced intrinsic brain networks, this paper presents a novel method for enhancing brain network images. We show that this technique increases the contrast‐to‐noise ratio while also enhancing the subject variability.
Noah Lewis, Armin Iraji, Robyn Miller, Oktay Agcaoglu, Vince Calhoun   +4 more
wiley   +1 more source

Multimodel Order Independent Component Analysis: A Data-Driven Method for Evaluating Brain Functional Network Connectivity Within and Between Multiple Spatial Scales [PDF]

, 2022
Background: While functional connectivity is widely studied, there has been little work studying functional connectivity at different spatial scales. Likewise, the relationship of functional connectivity between spatial scales is unknown.
Belger, Aysenil, Calhoun, Vince D, Erp, Theo van, Ford, Judith, Fu, Zening, Iraji, Armin, Kochunov, Peter, Mathalon, Daniel H, McEwen, Sara, Meng, Xing, Mueller, Bryon A, Pearlson, Godfrey, Potkin, Steven G, Preda, Adrian, Sui, Jing, Turner, Jessica   +15 more
core   +1 more source

Altered functional association and couplings: Effective diagnostic neuromarkers for Alzheimer’s disease

Frontiers in Aging Neuroscience, 2022
Alzheimer’s disease (AD) is a common neurodegenerative disorder causing dementia in the elderly population. Functional disconnection of brain is considered to be the main cause of AD. In this study, we applied a newly developed association (Asso) mapping approach to directly quantify the functional disconnections and to explore the diagnostic effects ...
Chongyi Zhao, Chongyi Zhao, Meiling Chen, Zhiyong Ding, Chunyan Liu, Chunyan Liu, Xiaomei Wu   +6 more
openaire   +3 more sources

Spatiotemporal Analysis of Brain Function with Novel Variants of Attention and Graph Neural Network [PDF]

This dissertation presents the culmination of research efforts aimed at advancing spatiotemporal analysis through diverse deep learning methodologies, focusing on complex graph-based and time-series data.
Thapaliya, Bishal
core   +2 more sources

st‐DenseViT: A Weakly Supervised Spatiotemporal Vision Transformer for Dense Prediction of Dynamic Brain Networks

Human Brain Mapping, Volume 46, Issue 14, 01 October 2025.
Overview of the proposed spatiotemporal dense prediction framework. The model takes 4D fMRI data as input and generates dynamic brain maps that evolve over time. The input is first patchified into a sequence of spatiotemporal tokens. A Vision Transformer (ViT) encoder is used to model complex spatial and temporal dependencies across these tokens.
Behnam Kazemivash, Pranav Suresh, Dong Hye Ye, Armin Iraji, Jingyu Liu, Sergey Plis, Peter Kochunov, David C. Zhu, Vince D. Calhoun   +8 more
wiley   +1 more source

Genome-Transcriptome-Functional Connectivity-Cognition Link Differentiates Schizophrenia From Bipolar Disorder. [PDF]

, 2022
BACKGROUND AND HYPOTHESIS: Schizophrenia (SZ) and bipolar disorder (BD) share genetic risk factors, yet patients display differential levels of cognitive impairment.
Adhikari, Bhim M, Agartz, Ingrid, Andreassen, Ole A, Bustillo, Juan R, Calhoun, Vince D, Canive, Jose, Chen, Jiayu, Du, Yuhui, Elliot Hong, L, Fu, Zening, Hanlon, Faith M, Jung, Rex E, Kochunov, Peter, Lin, Dongdong, Liu, Jingyu, Macciardi, Fabio, Mayer, Andrew R, Pearlson, Godfrey D, Perrone-Bizzozero, Nora I, Potkin, Steven G, Stephen, Julia M, Sui, Jing, Turner, Jessica A, van Erp, Theo G M, Westlye, Lars T   +24 more
core   +1 more source

Neuroimaging Data Informed Mood and Psychosis Diagnosis Using an Ensemble Deep Multimodal Framework

Human Brain Mapping, Volume 46, Issue 13, September 2025.
Combining fMRI and structural MRI with deep learning and ensemble methods, we refine psychiatric diagnosis by integrating neuroimaging with symptom‐based categories. Our findings highlight biologically homogeneous groups, identify potential biomarkers, and mitigate label noise, demonstrating that multimodal frameworks and ensemble models enhance ...
Hooman Rokham, Haleh Falakshahi, Godfrey D. Pearlson, Vince D. Calhoun   +3 more
wiley   +1 more source

Data-guided neuroimaging and visualization: From functional decomposition to dynamic fusion

Aperture Neuro
This invited contribution to the State of the Brain series reflects on several emerging and foundational themes that are shaping the future of brain mapping.
Vince D. Calhoun
doaj   +1 more source

Altered Brain‐Behavior Association During Resting State is a Potential Psychosis Risk Marker

Advanced Science, Volume 12, Issue 26, July 10, 2025.
The study detects a potential multimodal biomarker that can be promising for identifying early markers of psychosis. It shows a consistent brain‐behavior association between a circuit of interconnected regions and executive function in neurotypical controls and individuals at various stages of psychosis.
Leonardo Fazio, Giuseppe Stolfa, Roberta Passiatore, Angelantonio Tavella, Giuseppe Blasi, Madalina O. Buciuman, Aaron L. Goldman, Shalaila S. Haas, Lana Kambeitz‐Ilankovic, Nikolaos Koutsouleris, Monica Nicoli, Teresa Popolizio, Antonio Rampino, Anne Ruef, Fabio Sambataro, Pierluigi Selvaggi, William Ulrich, Daniel R. Weinberger, Apulian Network on Risk for Psychosis, PRONIA Consortium, Alessandro Bertolino, Linda A. Antonucci, Giulio Pergola   +22 more
wiley   +1 more source

Static and Dynamic Dysconnectivity in Early Psychosis:Relationship With Symptom Dimensions [PDF]

BACKGROUND AND HYPOTHESIS: Altered functional connectivity (FC) has been frequently reported in psychosis. Studying FC and its time-varying patterns in early-stage psychosis allows the investigation of the neural mechanisms of this disorder without the ...
Aarabi, Mohammad Hadi, Cattarinussi, Giulia, Grimaldi, David Antonio, Sambataro, Fabio   +3 more
core   +1 more source