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Although concussion management and return to play/learn decision making focuses on reducing symptoms, there is growing interest in objective physiological approaches to treatment. Clinical and technological advancements have aided concussion management; however, the scientific study of the neurophysiology of concussion has not translated into its standard of care. This expert commentary is motivated by novel clinical applications of electroencephalographic-based neurofeedback approaches (eg, quantitative electroencephalography [QEEG]) for treating traumatic brain injury and emerging research interest in its translation for treating concussion.
View Article and Find Full Text PDF"Informed" consent? Ethical considerations for clinicians using therapy-matching platforms.
J Consult Clin Psychol
December 2024
Department of Psychological and Brain Sciences, Indiana University Bloomington.
Mental health care in the United States is prohibitively difficult to access. Barriers of entry include a shortage of providers, high cost of services, insufficient insurance coverage, and layers of bureaucracy. This problem of low supply and high demand created a unique environment for capitalist problem solvers to enter the therapeutic market, via "therapy-matching platforms.
View Article and Find Full Text PDFImmune-based Machine learning Prediction of Diagnosis and Illness State in schizophrenia and bipolar Disorder: How data bias and overfitting were avoided.
Brain Behav Immun
December 2024
Scientific Initiative for Neuropsychiatric and Psychopharmacological Studies (SINAPS), University Psychiatric Hospital Campus Duffel (UPCD), Rooienberg 19, 2570 Duffel, Belgium; Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Campus Drie Eiken, S.003, Universiteitsplein 1, 2610 Wilrijk, Belgium.
In a letter critiquing our manuscript, Takefuji highlights general pitfalls in machine learning, without directly engaging with our study. The comments provide generic advice rather than a specific critique of our methods or findings. Despite raising important topics, the concerns reflect standard risks in machine learning, which we were aware of and explicitly addressed in our analyses.
View Article and Find Full Text PDFESR Bridges: imaging and treatment in brain tumours-a multidisciplinary view.
Eur Radiol
December 2024
Brain Tumour Centre, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Lessons about physiological relevance learned from large-scale meta-analysis of co-expression networks in brain organoids.
PLoS Biol
December 2024
Maisonneuve-Rosemont Hospital Research Centre (CRHMR), Department of Medicine, University of Montreal, Montreal, Quebec, Canada.
Integrative analysis of publicly available scRNA-seq data facilitates deeper understanding of biological phenomena with strong statistical power and high resolution. A new study in this issue of PLOS Biology examined the fidelity of various brain organoid protocols in reference to human primary developing brain by gene co-expression relationships with million-scale collection of public scRNA-seq data sets.
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