Integrating Immunostaining with Tissue Clearing Techniques for Whole Brain Mapping in Basal Ganglia and Drug Addiction

2016 ◽  
Author(s):  
Adam D. Richard ◽  
Xinli Tian ◽  
X.H. Lu
Keyword(s):  
Basal Ganglia ◽  
Drug Addiction ◽  
Brain Mapping ◽  
Whole Brain ◽  
Tissue Clearing

Whole‐brain mapping of amylin‐induced neuronal activity in receptor activity–modifying protein 1/3 knockout mice

2021 ◽  
Author(s):  
Grethe Skovbjerg ◽  
Urmas Roostalu ◽  
Henrik H. Hansen ◽  
Thomas A. Lutz ◽  
Christelle Le Foll ◽  
...  
Keyword(s):  
Neuronal Activity ◽  
Brain Mapping ◽  
Knockout Mice ◽  
Receptor Activity ◽  
Whole Brain

Three-Dimensional Whole-Brain Mapping

1992 ◽  
Vol 58 (1-4) ◽  
pp. 141-143 ◽  
Author(s):  
T.L. Hardy ◽  
L.R.D. Brynildson ◽  
J.G. Gray ◽  
D. Spurlock
Keyword(s):  
Brain Mapping ◽  
Three Dimensional ◽  
Whole Brain

Connectomics: comprehensive approaches for whole-brain mapping

Microscopy ◽  
2014 ◽  
Vol 64 (1) ◽  
pp. 57-67 ◽  
Author(s):  
Shinsuke Shibata ◽  
Yuji Komaki ◽  
Fumiko Seki ◽  
Michiko O. Inouye ◽  
Toshihiro Nagai ◽  
...  
Keyword(s):  
Brain Mapping ◽  
Whole Brain

scholarly journals Brain Mapping of drug addiction in witdrawal condition based P300 Signals

2018 ◽  
Vol 1007 ◽  
pp. 012060 ◽  
Author(s):  
Arjon Turnip ◽  
Dwi Esti Kusumandari ◽  
Teddy Hidayat
Keyword(s):  
Drug Addiction ◽  
Brain Mapping

scholarly journals Whole-Brain Profiling of Cells and Circuits in Mammals by Tissue Clearing and Light-Sheet Microscopy

Neuron ◽  
2020 ◽  
Vol 106 (3) ◽  
pp. 369-387 ◽  
Author(s):  
Hiroki R. Ueda ◽  
Hans-Ulrich Dodt ◽  
Pavel Osten ◽  
Michael N. Economo ◽  
Jayaram Chandrashekar ◽  
...  
Keyword(s):  
Light Sheet ◽  
Whole Brain ◽  
Tissue Clearing ◽  
Light Sheet Microscopy

scholarly journals Association of physical activity and sedentary time with structural brain networks—The Maastricht Study

GeroScience ◽  
2020 ◽  
Author(s):  
Laura W. M. Vergoossen ◽  
J. F. A. Jansen ◽  
J. J. A. de Jong ◽  
C. D. A. Stehouwer ◽  
N. C. Schaper ◽  
...  
Keyword(s):  
Physical Activity ◽  
Basal Ganglia ◽  
Motor Function ◽  
Sedentary Time ◽  
Brain Regions ◽  
Node Degree ◽  
Whole Brain ◽  
Diabetes Status ◽  
Objectively Measured ◽  
Structural Brain

Abstract We assessed whether objectively measured low- and high-intensity physical activity (LPA and HPA) and sedentary time (ST) were associated with white matter connectivity, both throughout the whole brain and in brain regions involved in motor function. In the large population-based Maastricht Study (n = 1715, age 59.6 ± 8.1 (mean ± standard deviation) years, and 48% women), the amounts of LPA, HPA, and ST were objectively measured during 7 days by an activPAL accelerometer. In addition, using 3T structural and diffusion MRI, we calculated whole brain node degree and node degree of the basal ganglia and primary motor cortex. Multivariable linear regression analysis was performed, and we report standardized regression coefficients (stβ) adjusted for age, sex, education level, wake time, diabetes status, BMI, office systolic blood pressure, antihypertensive medication, total-cholesterol-to-HDL-cholesterol ratio, lipid-modifying medication, alcohol use, smoking status, and history of cardiovascular disease. Lower HPA was associated with lower whole brain node degree after full adjustment (stβ [95%CI] = − 0.062 [− 0.101, − 0.013]; p = 0.014), whereas lower LPA (stβ [95%CI] = − 0.013 [− 0.061, 0.034]; p = 0.580) and higher ST (stβ [95%CI] = − 0.030 [− 0.081, 0.021]; p = 0.250) was not. In addition, lower HPA was associated with lower node degree of the basal ganglia after full adjustment (stβ [95%CI] = − 0.070 [− 0.121, − 0.018]; p = 0.009). Objectively measured lower HPA, but not lower LPA and higher ST, was associated with lower whole brain node degree and node degree in specific brain regions highly specialized in motor function. Further research is needed to establish whether more HPA may preserve structural brain connectivity.

A three-dimensional single-cell-resolution whole-brain atlas using CUBIC-X expansion microscopy and tissue clearing

2018 ◽  
Vol 21 (4) ◽  
pp. 625-637 ◽  
Author(s):  
Tatsuya C. Murakami ◽  
Tomoyuki Mano ◽  
Shu Saikawa ◽  
Shuhei A. Horiguchi ◽  
Daichi Shigeta ◽  
...  
Keyword(s):  
Single Cell ◽  
Three Dimensional ◽  
Brain Atlas ◽  
Whole Brain ◽  
Tissue Clearing

scholarly journals RARE-14. STRUCTURAL BRAIN PLASTICITY OF THE GRAY MATTER IN PATIENTS WITH BASAL GANGLIA GERM CELL TUMORS: A VBM STUDY

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi224-vi224
Author(s):  
Yanong Li
Keyword(s):  
Basal Ganglia ◽  
Germ Cell ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
Germ Cell Tumors ◽  
T Test ◽  
Whole Brain ◽  
Volume Increase ◽  
Matter Volume ◽  
Significant Difference

Abstract OBJECTIVE To assess the whole brain structural plasticity in case of unilateral basal ganglia germ cell tumors (BGGCTs). METHODS To detect changes in gray matter volume of the whole brain from structural Magnetic Resonance Imaging (MRI), we used voxel-based morphometry (VBM) in a sample of 41 patients with BGGCTs invading the left basal ganglia (BasalG_L group; n = 22) or the right basal ganglia (BasalG_R group; n = 19) and a sample of 16 patients with GCTs arising in pineal or suprasellar regions, comparing these groups with 16 age-matched normal controls (NCs) by two-sample t test after that. RESULTS To left BGGCTs patients, the regions of whole brain VBM analysis emphasized a large cluster of voxels with gray matter volume increase in left para hippocampal (k = 529 voxels, T=4.18, p< 0.01) and decrease in left thalamus (k = 527 voxels, T=-4.88, p< 0.01). At the same time, the cluster of voxels with gray matter volume increase in right middle cingulate cortex (rMCC) (k = 172 voxels, T=3.96, p< 0.01), and decrease in right inferior frontal gyrus (rIFG), pars opercular (k = 495 voxels, T= -4.29, p< 0.01) in right BGGCTs patients. Furthermore, gray matter volume showed no significant difference between groups of patients with GCTs arising in pineal or suprasellar regions and NCs by two-sample t test. And the results were corrected by family-wise-error correction. CONCLUSIONS The revealed results demonstrate that slow-growing but destructive lesion of the BGGCTs markedly and asymmetrically atrophies the gray matter volume in specific brain regions and shows compensatory plasticity in each side of cerebral hemisphere. Our findings direct focus on the whole cerebral adaptation that perhaps be a physiologic basis for the high level of functional compensation and partially explain the relationships between gray matter remodeling and cognitive disturbances observed in patients with BGGCTs.

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