Results 111 to 120 of about 933,034 (232)

Multi-Index Brain Function-Cognition Correlation in Amnestic Mild Cognitive Impairment: A Resting-State fMRI Study

American Journal of Alzheimer's Disease and Other Dementias
Background This study aimed to investigate the correlation between multi-metric resting-state fMRI (rs-fMRI) changes and cognitive performance in amnestic mild cognitive impairment (aMCI), moving beyond single-metric analyses. Methods Forty aMCI patients
ShuPing Chen, Haoyu Huang, Xiaoyi Xu, Qin Wang, Yingqi Lu, Zesen Zhuang, Wanqing Lin, Qing Zeng, Dan Wang, ShangJie Chen   +9 more
doaj   +1 more source

GEMReg: a spatio-temporal grayordinate ensemble modelling framework for predicting task activation maps from resting-state fMRI

Frontiers in Neuroscience
ObjectiveRecent advances in neuroimaging have highlighted the growing utility of resting-state functional magnetic resonance imaging (rs-fMRI) as an alternative to task-based fMRI. In addition to being simpler, cost-effective, and time-efficient, rs-fMRI
Sasideep Pasumarthi, Satwik Bathula, Nitya Tiwari, Himanshu Padole   +3 more
doaj   +1 more source

Maternal Depression, Childhood Resting‐State Brain Connectivity, and Adolescent Depression During the COVID‐19 Outbreak

Developmental Psychobiology, Volume 68, Issue 6, November 2026.
ABSTRACT Adolescents of mothers with a history of depression are at increased risk for developing depression themselves. These adolescents may have been especially vulnerable to depression under conditions of stress, such as the beginning of the COVID‐19 pandemic.
Pan Liu, Matthew R. J. Vandermeer, Andrew R. Daoust, Haley E. Green, Ola Mohamed Ali, Kasey Stanton, Kate L. Harkness, Deanna M. Barch, Marc F. Joanisse, Elizabeth P. Hayden   +9 more
wiley   +1 more source

Investigating human audio-visual object perception with a combination of hypothesis-generating and hypothesis-testing fMRI analysis tools [PDF]

, 2011
Primate multisensory object perception involves distributed brain regions. To investigate the network character of these regions of the human brain, we applied data-driven group spatial independent component analysis (ICA) to a functional magnetic ...
van den Bosch, Jasper J F, Wolf Singer, van den Bosch, J.J.F., Kohler, A., Kaiser, J., Kaiser, Jochen, Ven, Vincent van de, Marcus J. Naumer, Bosch, Jasper J. F. van den, van de Ven, Vincent, Lars Muckli, Muckli, L., Kohler, Axel, Singer, Wolf, Axel Kohler, Jochen Kaiser, Naumer, M.J., van den Bosch, J., Muckli, Lars, Wibral, M., Wibral, Michael, Michael Wibral, Jasper J. F. van den Bosch, Naumer, Marcus Johannes, Vincent van de Ven, Naumer, Marcus J, van de Ven, V., Singer, W., Muckli, L, van, de Ven V, Naumer, MJ, Wibral, M, van den Bosch, Jasper JF; id_orcid, Kohler, A   +33 more
core   +2 more sources

Identify MRI negative temporal lobe epilepsy with resting fMRI indicators and machine learning techniques

Scientific Reports
About 30% of temporal lobe epilepsy (TLE) cases are negative on MRI, so quantitative diagnosis based on clinical symptoms becomes challenging. There is an urgent need for an accurate and reliable method to differentiate patients with MRI-negative TLE ...
Lingling Yan, Hanjiaerbieke Kukun, Yunling Wang, Lin Jia   +3 more
doaj   +1 more source

Theoretical, Technical, and Analytical Foundations of Task-Based and Resting-State Functional Magnetic Resonance Imaging (fMRI)—A Narrative Review

Biomedicines
Functional magnetic resonance imaging (fMRI) is a valuable tool for presurgical brain mapping, traditionally implemented with task-based paradigms (tb-fMRI) that measure blood oxygenation level-dependent (BOLD) signal changes during controlled motor or ...
Natalia Anna Koc, Maurycy Rakowski, Anna Dębska, Bartosz Szmyd, Agata Zawadzka, Karol Zaczkowski, Małgorzata Podstawka, Dagmara Wilmańska, Adam Dobek, Ludomir Stefańczyk, Dariusz Jan Jaskólski, Karol Wiśniewski   +11 more
doaj   +1 more source

SPARK‐ICA: Guided Frequency‐Resolved Dynamic Spatial ICA Reveals Fine‐Scale fMRI Network Dynamics

Human Brain Mapping, Volume 47, Issue 16, November 2026.
SPARK–ICA is a frequency‐resolved dynamic spatial ICA framework that decomposes time‐varying fMRI network maps into multiple spatial frequency bands. Applied to schizophrenia resting‐state data, it reveals complementary abnormalities in stable connectivity and rapid high‐frequency network interactions that are not captured by conventional dynamic ...
N. Behzadfar, A. Iraji, V. Calhoun
wiley   +1 more source

Multiple time scale complexity analysis of resting state FMRI [PDF]

, 2014
The present study explored multi-scale entropy (MSE) analysis to investigate the entropy of resting state fMRI signals across multiple time scales. MSE analysis was developed to distinguish random noise from complex signals since the entropy of the ...
Smith, Robert X, Wang, Danny JJ, Yan, Lirong   +2 more
core   +1 more source

Interpretable Transformer Models for rs-fMRI Epilepsy Classification and Biomarker Discovery

Abstract Background Automated interpretation of resting-state fMRI (rs-fMRI) for epilepsy diagnosis remains a challenge. We developed a regularized transformer that models parcel-wise spatial patterns and long-range temporal dynamics to classify epilepsy and generate interpretable, network-level ...
Andrew Jeyabose, Varina L. Boerwinkle, Belfin Robinson, Olivia Leggio, Meitra H Kazemi   +4 more
openaire   +2 more sources

Intrasubject Reconfiguration of the Cortical Gradients' Topological Properties With Cognitive States

Human Brain Mapping, Volume 47, Issue 16, November 2026.
Cortical gradients' topological properties were computed in 138 healthy young individuals across four fMRI tasks. Our findings suggest the gradients' topological properties are sensitive to different cognitive and attentional demands. ABSTRACT Cortical gradients have been shown to be an effective technique to study the functional organization of the ...
Derek J. Pavelka, Attakias T. Mertens, Katrina Myers, Callum Goldsmith, Joanna Arch, Jessica R. Andrews‐Hanna, Gaelle E. Doucet   +6 more
wiley   +1 more source