Search alternatives:
values decrease » values increased (Expand Search), largest decrease (Expand Search)
large decrease » larger decrease (Expand Search), marked decrease (Expand Search), large increases (Expand Search)
step decrease » sizes decrease (Expand Search), we decrease (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
all values » auc values (Expand Search), alpha values (Expand Search)
a large » _ large (Expand Search)
values decrease » values increased (Expand Search), largest decrease (Expand Search)
large decrease » larger decrease (Expand Search), marked decrease (Expand Search), large increases (Expand Search)
step decrease » sizes decrease (Expand Search), we decrease (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
all values » auc values (Expand Search), alpha values (Expand Search)
a large » _ large (Expand Search)
-
1
-
2
Numerical values underlying all Figs.
Published 2025“…We tested this hypothesis in two multimodal brain imaging experiments in healthy humans, in which we drove large changes in total CBV by neuronal burst-suppression under anesthesia or by transient global vasodilation in a hypercapnic challenge. …”
-
3
-
4
ECoG timescales decrease during spatial attention.
Published 2025“…<p><b>(A)</b> Top: behavioral timescales do not differ between different groups of participants (exp. 1 and 3/4) doing the same task; Bottom: Illustration of ECoG electrode placement for all subjects for both two location (left) and four location (right) tasks for the frontal, motor and parietal regions. …”
-
5
-
6
-
7
-
8
-
9
<b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>"
Published 2025“…The locomotion values (traces and metrics) are in arbitrary units with larger integers representing a greater displacement of the spherical treadmill, the hemodynamic (Hbt) values (traces and metrics) are a percentage change from the normalised baseline (prior to stimulus presentation), and the corresponding time series vector is presented in seconds. …”
-
10
-
11
-
12
-
13
-
14
-
15
-
16
Increase in physical activity (100 step, 500 steps or 1000 steps) after the challenge according to decrease in screen time < or ≥60 minutes.
Published 2024“…<p>Increase in physical activity (100 step, 500 steps or 1000 steps) after the challenge according to decrease in screen time < or ≥60 minutes.…”
-
17
Image 7_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
Published 2025“…Diagnosing malignant small lung nodules (≤3cm) in CT scans remains a challenge in clinical practice.</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”
-
18
Image 6_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
Published 2025“…Diagnosing malignant small lung nodules (≤3cm) in CT scans remains a challenge in clinical practice.</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”
-
19
Image 3_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
Published 2025“…Diagnosing malignant small lung nodules (≤3cm) in CT scans remains a challenge in clinical practice.</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”
-
20
Image 1_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
Published 2025“…Diagnosing malignant small lung nodules (≤3cm) in CT scans remains a challenge in clinical practice.</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”