Outside the Head Thinking: A Novel Approach for Detecting Human Brain Cognition

The implantation of deep brain stimulation (DBS) electrodes into the human brain is a neurosurgical treatment for, e.g., movement disorders. We describe a novel approach to collecting brain tissue from DBS surgery-guiding instruments for liquid chromatography-mass spectrometry and RNA sequencing analyses. Proteomics and transcriptomics showed that the approach is useful for obtaining disease-specific expression data. A comparison between our improved and the previous approaches and related datasets was performed.

Download Full-text

A hollow fiber system for simple generation of human brain organoids

Integrative Biology ◽

10.1039/c7ib00080d ◽

2017 ◽

Vol 9 (9) ◽

pp. 774-781 ◽

Cited By ~ 17

Author(s):

Yujuan Zhu ◽

Li Wang ◽

Fangchao Yin ◽

Yue Yu ◽

Yaqing Wang ◽

...

Keyword(s):

Stem Cell ◽

Human Brain ◽

High Throughput ◽

Hollow Fiber ◽

Cell Biology ◽

Hollow Fibers ◽

Stem Cell Biology ◽

Fiber System ◽

Novel Approach ◽

High Throughput Manner

Here we present a novel approach to engineer hiPSC-derived brain organoids within hollow fibers in a simple and high throughput manner by integrating biomaterials with stem cell biology.

Download Full-text

Visualization of AMPA receptors in living human brain with positron emission tomography - the novel approach to delineate epileptic focus

Proceedings for Annual Meeting of The Japanese Pharmacological Society ◽

10.1254/jpssuppl.wcp2018.0_or12-3 ◽

2018 ◽

Vol WCP2018 (0) ◽

pp. OR12-3

Author(s):

Tomoyuki Miyazaki ◽

Waki Nakajima ◽

Tetsu Arisawa ◽

Mai Hatano ◽

Takuya Takahashi

Keyword(s):

Positron Emission Tomography ◽

Human Brain ◽

Ampa Receptors ◽

Emission Tomography ◽

Epileptic Focus ◽

The Novel ◽

Novel Approach ◽

Positron Emission

Download Full-text

Digit Recognition from EEG Signals on Smart Devices a Novel Approach

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.36874 ◽

2021 ◽

Vol 9 (VII) ◽

pp. 2342-2349

Author(s):

Subodh Kumar Jha

Keyword(s):

Neural Network ◽

Human Brain ◽

Communication System ◽

Research Work ◽

Smart Devices ◽

Correct Classification ◽

Eeg Signals ◽

Digit Recognition ◽

Non Invasive ◽

Novel Approach

The Advancement of communication system has given us the freedom to think beyond traditional communication system and stage is set for thought oriented communication system. There are thousands of thoughts generated and vanished in a timeframe but out of these some prominent thoughts persist and we proceed with the same in our day to day activities. The advancement in Electroencephalogram has provided a chance to see the activity in the human brain in non-invasive manner. The proposed research work presents the method for Digit recognition using the EEG signals acquired and processed on smart devices. The results show the implementation of Computation neural network for the recognition of digits from EEG signals. It was seen that, the 90.64% correct classification was achieved.

Download Full-text

3D Epigenomic Characterization Reveals Insights Into Gene Regulation and Lineage Specification During Corticogenesis

10.1101/2020.02.24.963652 ◽

2020 ◽

Cited By ~ 2

Author(s):

Michael Song ◽

Mark-Phillip Pebworth ◽

Xiaoyu Yang ◽

Armen Abnousi ◽

Changxu Fan ◽

...

Keyword(s):

Gene Regulation ◽

Human Brain ◽

Radial Glia ◽

Fine Tuning ◽

Open Chromatin ◽

Cell Type ◽

Lineage Specification ◽

Novel Approach ◽

Cell Type Specific ◽

Lineage Specific Genes

AbstractLineage-specific epigenomic changes during human corticogenesis have previously remained elusive due to challenges with tissue heterogeneity and sample availability. Here, we analyze cis-regulatory chromatin interactions, open chromatin regions, and transcriptomes for radial glia, intermediate progenitor cells, excitatory neurons, and interneurons isolated from mid-gestational human brain samples. We show that chromatin looping underlies transcriptional regulation for lineage-specific genes, with transcription factor motifs, families of transposable elements, and disease-associated variants enriched at distal interacting regions in a cell type-specific manner. A subset of promoters exhibit unusually high degrees of chromatin interactivity, which we term super interactive promoters. Super interactive promoters are enriched for critical lineage-specific genes, suggesting that interactions at these loci contribute to the fine-tuning of cell type-specific transcription. Finally, we present CRISPRview, a novel approach for validating distal interacting regions in primary cells. Our study presents the first characterization of cell type-specific 3D epigenomic landscapes during human corticogenesis, advancing our understanding of gene regulation and lineage specification during human brain development.

Download Full-text

BrainTV: a novel approach for online mapping of human brain functions

Biological Research ◽

10.4067/s0716-97602007000500004 ◽

2007 ◽

Vol 40 (4) ◽

Cited By ~ 18

Author(s):

JEAN-PHILIPPE LACHAUX ◽

KARIM JERBI ◽

OLIVIER BERTRAND ◽

LORELLA MINOTTI ◽

DOMINIQUE HOFFMANN ◽

...

Keyword(s):

Human Brain ◽

Brain Functions ◽

Novel Approach ◽

Online Mapping

Download Full-text

Induced secretion of β-hexosaminidase by human brain endothelial cells: A novel approach in Sandhoff disease?

Neurobiology of Disease ◽

10.1016/j.nbd.2009.12.001 ◽

2010 ◽

Vol 37 (3) ◽

pp. 656-660 ◽

Cited By ~ 5

Author(s):

Lionel Batista ◽

Florence Miller ◽

Céline Clave ◽

Audrey Arfi ◽

Gaëlle Douillard-Guilloux ◽

...

Keyword(s):

Endothelial Cells ◽

Human Brain ◽

Sandhoff Disease ◽

Brain Endothelial Cells ◽

Novel Approach

Download Full-text

Time grid-based isomer specific N-glycan analysis and detection of bisecting Lewis X in human brain

10.1101/2021.04.14.439640 ◽

2021 ◽

Author(s):

Johannes Helm ◽

Clemens Gruenwald-Gruber ◽

Andreas Thader ◽

Jonathan Urteil ◽

Johannes Fuehrer ◽

...

Keyword(s):

Human Brain ◽

Retention Time ◽

Protein Glycosylation ◽

Lewis X ◽

Structural Assignment ◽

Novel Approach ◽

Time Determination ◽

Isomeric Structures ◽

Glycan Type ◽

Time Grid

The importance of protein glycosylation in the biomedical field demands for methods capable of resolving and identifying isomeric structures of N-glycans. However, the unambiguous identification of isomeric structures from complex mixtures is currently not reasonably realized even by the most sophisticated approaches. Here we present a novel approach which uses stable isotope labelled reference N-glycans to establish a retention time grid (glyco-TiGr) on porous graphitized carbon. This furthermore enables retention as the primary criterion for the structural assignment of isomeric N-glycans. Moreover, we biosynthesized forty natural isomers of the fundamental N-glycan type consisting of five hexoses, four N-acetylhexosamines and one fucose residue. Nearly all of these isomers occupied unique positions on the retention time grid. Reference glycan assisted retention time determination with deci-minute accuracy narrowed the assignment space to very few, often only one possible glycan isomer. Application of the glyco-TiGr approach revealed yet undescribed isomers of Lewis x determinants in multimeric human IgA and hybrid type N-glycans in human brain with galactose and even fucose linked to the bisecting N-acetylglucosamine. Thus, the brain N-glycome displayed a degree of sophistication commensurate with this organ's role.

Download Full-text

The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core

10.1101/065284 ◽

2016 ◽

Cited By ~ 7

Author(s):

Gustavo Deco ◽

Morten L. Kringelbach ◽

Viktor K. Jirsa ◽

Petra Ritter

Keyword(s):

Human Brain ◽

Resting State ◽

Large Scale ◽

Functional Neuroimaging ◽

Spectral Characteristics ◽

Network Models ◽

Brain Network ◽

Network Modelling ◽

Novel Approach ◽

Underlying Mechanisms

AbstractIn the human brain, spontaneous activity during resting state consists of rapid transitions between functional network states over time but the underlying mechanisms are not understood. We use connectome based computational brain network modeling to reveal fundamental principles of how the human brain generates large-scale activity observable by noninvasive neuroimaging. By including individual structural and functional neuroimaging data into brain network models we construct personalized brain models. With this novel approach, we reveal that the human brain during resting state operates at maximum metastability, i.e. in a state of maximum network switching. In addition, we investigate cortical heterogeneity across areas. Optimization of the spectral characteristics of each local brain region revealed the dynamical cortical core of the human brain, which is driving the activity of the rest of the whole brain. Personalized brain network modelling goes beyond correlational neuroimaging analysis and reveals non-trivial network mechanisms underlying non-invasive observations. Our novel findings significantly pertain to the important role of computational connectomics in understanding principles of brain function.

Download Full-text