Research Database
Curated neuroscience and AI research papers
Showing 20 of 100 papers
Machine Learning With Neuroimaging: Evaluating Its Applications in Psychiatry.
Nielsen, Ashley N; Barch, Deanna M; Petersen, Steven E; Schlaggar, Bradley L; Greene, Deanna J
Psychiatric disorders are complex, involving heterogeneous symptomatology and neurobiology that rarely involves the disruption of single, isolated brain structures. In an attempt to better describe...
Machine learning with neuroimaging biomarkers: Application in the diagnosis and prediction of drug addiction.
Yang, Longtao; Du, Yanyao; Yang, Wenhan; Liu, Jun
Drug abuse is a serious problem worldwide. Owing to intermittent intake of certain substances and the early inconspicuous clinical symptoms, this brings huge challenges for timely diagnosing...
Connectomic mapping of brain-spinal cord neural networks: Future directions in assessing spinal cord injury at rest.
Zhang, Lijian; Wang, Luxuan; Xia, Hechun; Tan, Yanli; Li, Chunhui et al.
Following spinal cord injury (SCI), the central nervous system undergoes significant reconstruction. The dynamic change in the interaction of the brain-spinal cord axis as well as in...
Epilepsy as a disease affecting neural networks: a neurophysiological perspective.
San-Juan, D; Rodríguez-Méndez, D A
The brain is a series of networks of functionally and anatomically connected, bilaterally represented structures; in epilepsy, activity of any part of the brain affects activity in the other parts....
Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition.
Pang, Tianji; Zhao, Shijie; Han, Junwei; Zhang, Shu; Guo, Lei et al.
Understanding the brain's functional architecture has been an important topic in the neuroimaging field. A variety of brain network modeling methods have been proposed. Recently, deep neural...
Apolipoprotein E and Alzheimer disease: risk, mechanisms and therapy.
Liu, Chia-Chen; Liu, Chia-Chan; Kanekiyo, Takahisa; Xu, Huaxi; Bu, Guojun
Apolipoprotein E (Apo-E) is a major cholesterol carrier that supports lipid transport and injury repair in the brain. APOE polymorphic alleles are the main genetic determinants of Alzheimer disease...
The evolving landscape of Alzheimer's disease therapy: From Aβ to tau.
Courade, Jean-Philippe; Zetterberg, Henrik; Höglinger, Günter U; Dewachter, Ilse
A marked evolution in Alzheimer's disease (AD) therapy research is ongoing. In this perspective, we highlight emerging outcomes of tau-targeting approaches with disease-modifying potential evidenced...
Emerging Opportunities for Advancing Cognitive Neuroscience.
Hasson, Uri; Nusbaum, Howard C
Cognitive neuroscience can be substantially advanced if structured mechanisms are created to increase its social impact and to develop synergies with some currently more distant disciplines that are...
Decoding Glioblastoma Heterogeneity: Neuroimaging Meets Machine Learning.
Fares, Jawad; Wan, Yizhou; Mayrand, Roxanne; Li, Yonghao; Mair, Richard et al.
Recent advancements in neuroimaging and machine learning have significantly improved our ability to diagnose and categorize isocitrate dehydrogenase (IDH)-wildtype glioblastoma, a disease...
Neuroethics and AI ethics: a proposal for collaboration.
Salles, Arleen; Farisco, Michele
The scientific relationship between neuroscience and artificial intelligence is generally acknowledged, and the role that their long history of collaboration has played in advancing both fields is...
Advances in brain-computer interface controlled functional electrical stimulation for upper limb recovery after stroke.
Zhang, Yidan; Gao, Yuling; Zhou, Jiaqi; Zhang, Zhenni; Feng, Min et al.
Stroke often results in varying degrees of functional impairment, significantly affecting patients' quality of daily life. In recent years, brain-computer interface-controlled functional electrical...
Retracted: Design of Financial Risk Control Model Based on Deep Learning Neural Network.
Neuroscience, Computational Intelligence And
[This retracts the article DOI: 10.1155/2022/5842039.].
State-of-the-Art on Brain-Computer Interface Technology.
Peksa, Janis; Mamchur, Dmytro
This paper provides a comprehensive overview of the state-of-the-art in brain-computer interfaces (BCI). It begins by providing an introduction to BCIs, describing their main operation principles and...
Neurosurgery and the Brain-Computer Interface.
Rosenfeld, Jeffrey V
Brain-computer interfaces (BCIs) are devices that connect the human brain to an effector via a computer and electrode interface. BCIs may also transmit sensory data to the brain. We describe progress...
Embedded Brain Computer Interface: State-of-the-Art in Research.
Belwafi, Kais; Gannouni, Sofien; Aboalsamh, Hatim
There is a wide area of application that uses cerebral activity to restore capabilities for people with severe motor disabilities, and actually the number of such systems keeps growing. Most of the...
Industrial perspectives on brain-computer interface technology.
Pulliam, Christopher L; Stanslaski, Scott R; Denison, Timothy J
Neuromodulation therapies offer a unique opportunity for translating brain-computer interface (BCI) technologies into a clinical setting. Several diseases such as Parkinson's disease are effectively...
[An emerging major: brain-computer interface major].
Yang, Hengyuan; Li, Tianwen; Zhao, Lei; Chen, Xiaogang; Pan, Jiahui et al.
Brain-computer interface (BCI) is a revolutionizing technology that disrupts traditional human-computer interaction by establishing direct communication and control between the brain and computer,...
Neuroimaging and machine learning in eating disorders: a systematic review.
Monaco, Francesco; Vignapiano, Annarita; Di Gruttola, Benedetta; Landi, Stefania; Panarello, Ernesta et al.
Eating disorders (EDs), including anorexia nervosa (AN), bulimia nervosa (BN), and binge eating disorder (BED), are complex psychiatric conditions with high morbidity and mortality. Neuroimaging and...
Complex brain networks: graph theoretical analysis of structural and functional systems.
Bullmore, Ed; Sporns, Olaf
Recent developments in the quantitative analysis of complex networks, based largely on graph theory, have been rapidly translated to studies of brain network organization. The brain's structural and...
Future views on neuroscience and AI.
Witten, Ilana; Yamins, Daniel L K; Clopath, Claudia; Bethge, Matthias; Zeng, Yi et al.
The relationship between neuroscience and artificial intelligence (AI) has evolved rapidly over the past decade. These two areas of study influence and stimulate each other. We invited experts to...