Results 81 to 90 of about 5,006,415 (321)

CATD: Unified Representation Learning for EEG-to-fMRI Cross-Modal Generation [PDF]

open access: yes
Multi-modal neuroimaging analysis is crucial for a comprehensive understanding of brain function and pathology, as it allows for the integration of different imaging techniques, thus overcoming the limitations of individual modalities. However, the high costs and limited availability of certain modalities pose significant challenges.
arxiv   +1 more source

PRAGMA: Interactively Constructing Functional Brain Parcellations [PDF]

open access: yesarXiv, 2020
A prominent goal of neuroimaging studies is mapping the human brain, in order to identify and delineate functionally-meaningful regions and elucidate their roles in cognitive behaviors. These brain regions are typically represented by atlases that capture general trends over large populations.
arxiv  

Unlocking Multimodal Nonlinear Microscopy for Deep‐Tissue Imaging under Continuous‐Wave Excitation with Tunable Upconverting Nanoparticles

open access: yesAdvanced Materials, EarlyView.
This study introduces a multimodal nonlinear microscopy approach using upconverting nanoparticles (UCNPs) under continuous‐wave excitation. The UCNPs exhibit high‐order nonlinear optical responses, enabling deep‐tissue 3D imaging, video‐rate wide‐field imaging, and depth‐selective photomodulation.
Jeongmo Kim   +13 more
wiley   +1 more source

Levodopa responsiveness and white matter alterations in Parkinson's disease: A DTI‐based study and brain network analysis: A cross‐sectional study

open access: yesBrain and Behavior, Volume 12, Issue 12, December 2022., 2022
Abstract Background Patients with Parkinson's disease (PD) present various responsiveness to levodopa, but the cause of such differences in levodopa responsiveness is unclear. Previous studies related the damage of brain white matter (WM) to levodopa responsiveness in PD patients, but no study investigated the relationship between the structural brain ...
Juncong Du   +11 more
wiley   +1 more source

Amplitudes of resting-state functional networks – investigation into their correlates and biophysical properties

open access: yesNeuroImage, 2023
Resting-state fMRI studies have shown that multiple functional networks, which consist of distributed brain regions that share synchronised spontaneous activity, co-exist in the brain.
Soojin Lee   +10 more
doaj  

Picomolar Detection of Tau Protein Using 1D Photonic Crystal Biochips for Alzheimer's Disease Diagnosis

open access: yesAdvanced Sensor Research, EarlyView.
Elevated levels of Tau in cerebrospinal fluids or other body fluids are associated with the progression of Alzheimer's disease. An optical technique, based on a dual label‐free and fluorescence operation mode, is developed to detect Tau protein in both standard running buffer and cerebrospinal fluid.
Alberto Sinibaldi   +7 more
wiley   +1 more source

A cross-sectional and longitudinal study on the protective effect of bilingualism against dementia using brain atrophy and cognitive measures

open access: yesAlzheimer’s Research & Therapy, 2020
Background Evidence from previous studies suggests that bilingualism contributes to cognitive reserve because bilinguals manifest the first symptoms of Alzheimer’s disease (AD) up to 5 years later than monolinguals.
Víctor Costumero   +10 more
doaj   +1 more source

Performance Evaluation of Big Data Processing Strategies for Neuroimaging [PDF]

open access: yesarXiv, 2018
Neuroimaging datasets are rapidly growing in size as a result of advancements in image acquisition methods, open-science and data sharing. However, the adoption of Big Data processing strategies by neuroimaging processing engines remains limited.
arxiv  

Functional neuroimaging abnormalities in youth with psychosis spectrum symptoms.

open access: yesJAMA psychiatry, 2015
IMPORTANCE The continuum view of the psychosis spectrum (PS) implies that, in population-based samples, PS symptoms should be associated with neural abnormalities similar to those found in help-seeking clinical risk individuals and in schizophrenia.
D. Wolf   +11 more
semanticscholar   +1 more source

Asymmetric Inter‐Hemisphere Communication Contributes to Speech Acquisition of Toddlers with Cochlear Implants

open access: yesAdvanced Science, EarlyView.
The present study constructs machine‐learning models to resolve developmental relationships among auditory performance, auditory cortical processing, and functional connectivity of the bilateral language network during the first year of restored hearing. The results demonstrate that asymmetric inter‐hemisphere communication contributes significantly to
Xue Zhao   +6 more
wiley   +1 more source

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