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Hadi Hosseini is a computational/cognitive neuroscientist investigating large-scale structural and functional brain networks in various neuropsychiatric disorders using multimodal neuroimaging, graph theoretical and multivariate pattern analyses techniques. He is also developing novel NIRS-based neurofeedback interventions for enhancing executive functions. Dr. Hosseini has been co-teaching the Neuroimaging Research Methods (Psyc250) at Stanford since 2012.
Our lab’s research portfolio crosses multiple disciplines including computational neuropsychiatry, cognitive neuroscience, multimodal neuroimaging and neurocognitive rehabilitation. Our computational neuropsychiatry research mainly involves investigating alterations in the organization of connectome in various neurodevelopmental and neurocognitive disorders using state of the art neuroimaging techniques (fMRI, sMRI, DWI, functional NIRS) combined with novel computational methods (graph theoretical and multivariate pattern analyses). <br/><br/>The ultimate goal of our research is to translate the findings from computational neuropsychiatry research toward developing personalized interventions. We have been developing personalized interventions that integrate computerized cognitive rehabilitation, real-time functional brain imaging and neurofeedback, as well as virtual reality (VR) tailored toward targeted rehabilitation of the affected brain networks in patients with neurocognitive disorders.
The Influence of Multi-domain Cognitive Training on Large-scale Structural and Functional Brain Networks in MCI
The purpose of this study is to integrate advanced computational techniques and multimodal
neuroimaging methods to examine the potential effects of long-term, multi-domain, online,
computerized cognitive training on large-scale structural and functional brain networks in
older adults with mild cognitive impairment (MCI).
Stanford is currently not accepting patients for this trial.
For more information, please contact Hadi Hosseini, PhD, 650-724-2939.
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A Novel fNIRS Neurofeedback Intervention for Enhancement of Working Memory in Attention Deficit Hyperactivity Disorder (ADHD)
The proposed study is to test and validate a novel intervention that integrates computerized
cognitive training with real-time neuromonitoring and neurofeedback to enhance working memory
by probing the individualized neural systems underlying working memory. We will test the
proposed intervention on children with ADHD with working memory deficits. The R61
proof-of-concept phase will assess the target engagement, effective dose and feasibility.