Results 51 to 60 of about 52,544 (272)

Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification

, 2017
There is no consensus on how to construct structural brain networks from diffusion MRI. How variations in pre-processing steps affect network reliability and its ability to distinguish subjects remains opaque.
A Daducci, BB Avants, BC Wijk Van, C Destrieux, D Greve, DS Bassett, E Garyfallidis, I Aganj, JD Tournier, M Rubinov, P Hagmann, Patric Hagmann, PE Shrout, RS Desikan   +13 more
core   +1 more source

Learning and comparing functional connectomes across subjects [PDF]

, 2013
Functional connectomes capture brain interactions via synchronized fluctuations in the functional magnetic resonance imaging signal. If measured during rest, they map the intrinsic functional architecture of the brain.
Craddock, R. C., Varoquaux, Gaël
core   +4 more sources

Key Connectomes and Synaptic‐Compartment‐Specific Risk Genes Drive Pathological α‐Synuclein Spreading

Advanced Science, EarlyView.
Utilizing a stereotaxic injection mouse model and a novel mathematical approach, this study uncovers key subnetworks that drive pathological α‐synuclein (α‐Syn) progression in Parkinson's disease (PD). Remarkably, just 2% of the strongest connections in the connectome are sufficient to predict its spread.
Yuanxi Li, Justin Torok, Shujing Zhang, Jessica Ding, Ning Wang, Courtney Lau, Shruti Kulkarni, Chaitali Anand, Julie Tran, Michael Cheng, Claire Lo, Binbin Lu, Yanzi Sun, Robert Damoiseaux, Xia Yang, Ashish Raj, Chao Peng   +16 more
wiley   +1 more source

Multimodal precision MRI of the individual human brain at ultra-high fields

Scientific Data
Multimodal neuroimaging, in particular magnetic resonance imaging (MRI), allows for non-invasive examination of human brain structure and function across multiple scales.
Donna Gift Cabalo, Ilana Ruth Leppert, Risavarshni Thevakumaran, Jordan DeKraker, Youngeun Hwang, Jessica Royer, Valeria Kebets, Shahin Tavakol, Yezhou Wang, Yigu Zhou, Oualid Benkarim, Nicole Eichert, Casey Paquola, Julien Doyon, Christine Lucas Tardif, David Rudko, Jonathan Smallwood, Raul Rodriguez-Cruces, Boris C. Bernhardt   +18 more
doaj   +1 more source

Real‐Time Evolutionary Landscape of the Bronchial Epithelium and Corresponding Dynamic Immune Cell Alterations in Lung Squamous Cell Carcinogenesis

Advanced Science, EarlyView.
Lung squamous cell carcinoma (LUSC) is often preceded by sequential premalignant lesions with an increasing probability of malignant progression. Using single‐cell RNA sequencing, the dynamic cellular evolution from normal lung to LUSC tissues is delineated; clonal structure of premalignant and malignant epithelium is reveled; the conversion of immune ...
Baohong Luo, Yuting Luo, Sicheng Chen, Tiantian Yang, Bixia Liu, Xiting Liao, Xiaoke Zheng, Tian Tian, Jinxu Liu, Qinru Zhan, Xiaohua Situ, Zhongpeng Xie, Yanxia Wang, Zhe‐Sheng Chen, Honglei Chen, Zheng Yang, Zunfu Ke   +16 more
wiley   +1 more source

Large language models improve clinical decision making of medical students through patient simulation and structured feedback: a randomized controlled trial

BMC Medical Education
Background Clinical decision-making (CDM) refers to physicians’ ability to gather, evaluate, and interpret relevant diagnostic information. An integral component of CDM is the medical history conversation, traditionally practiced on real or simulated ...
Emilia Brügge, Sarah Ricchizzi, Malin Arenbeck, Marius Niklas Keller, Lina Schur, Walter Stummer, Markus Holling, Max Hao Lu, Dogus Darici   +8 more
doaj   +1 more source

Recent developments in representations of the connectome

NeuroImage, 2021
Research into the human connectome (i.e., all connections in the human brain) with the use of resting state functional MRI has rapidly increased in popularity in recent years, especially with the growing availability of large-scale neuroimaging datasets.
Janine D. Bijsterbosch, Sofie L. Valk, Danhong Wang, Matthew F. Glasser   +3 more
doaj  

Longitudinal development of the human white matter structural connectome and its association with brain transcriptomic and cellular architecture

Communications Biology, 2023
From childhood to adolescence, the spatiotemporal development pattern of the human brain white matter connectome and its underlying transcriptomic and cellular mechanisms remain largely unknown.
Guozheng Feng, Rui Chen, Rui Zhao, Yuanyuan Li, Leilei Ma, Yanpei Wang, Weiwei Men, Jiahong Gao, Shuping Tan, Jian Cheng, Yong He, Shaozheng Qin, Qi Dong, Sha Tao, Ni Shu   +14 more
doaj   +1 more source

Structural subnetwork evolution across the life-span: rich-club, feeder, seeder

, 2018
The impact of developmental and aging processes on brain connectivity and the connectome has been widely studied. Network theoretical measures and certain topological principles are computed from the entire brain, however there is a need to separate and ...
A Zalesky, AW Chung, D Batalle, D Batalle, DJ Watts, DS Bassett, DS Grayson, E Bullmore, E Bullmore, G Ball, G Collin, JA Brown, KB Nooner, L Bonilha, M Cao, M Daianu, M Ingalhalikar, M Rubinov, MN Moussa, MP Heuvel van den, MP Heuvel Van Den, O Sporns, O Sporns, O Sporns, O Sporns, O Tymofiyeva, P Hagmann, RC Craddock, S Mori, S Ray, T Opsahl, T Zhao   +31 more
core   +1 more source

Unraveling Multimodal Brain Signatures: Deciphering Transdiagnostic Dimensions of Psychopathology in Adolescents

Advanced Intelligent Systems, EarlyView.
This study, utilizing two large‐cohort datasets, employs interpretable neural networks. It demonstrates that incorporating brain morphology and functional and structural networks enhances predictive accuracy for general psychopathology and its dimensions.
Jing Xia, Nanguang Chen, Anqi Qiu
wiley   +1 more source