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Bhim Mani Adhikari
University of Maryland, Baltimore
32Publications
12H-index
305Citations
Publications 32
Newest
#1Bhim Mani Adhikari (UMB: University of Maryland, Baltimore)H-Index: 12
#2Neda Jahanshad (SC: University of Southern California)H-Index: 39
Last.Axel Krug (University of Marburg)H-Index: 23
view all 10 authors...
Large-scale consortium efforts such as Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) and other collaborative efforts show that combining statistical data from multiple independent studies can boost statistical power and achieve more accurate estimates of effect sizes, contributing to more reliable and reproducible research. A meta- analysis would pool effects from studies conducted in a similar manner, yet to date, no such harmonized protocol exists for resting state fMRI (rsfMR...
Objective:Failure of antipsychotic medications to resolve symptoms in patients with schizophrenia creates a clinical challenge that is known as treatment resistance. The causes of treatment resista...
#1Bhim Mani Adhikari (UMB: University of Maryland, Baltimore)H-Index: 12
#2L. Elliot Hong (UMB: University of Maryland, Baltimore)H-Index: 32
Last.Shuo Chen (UMB: University of Maryland, Baltimore)H-Index: 10
view all 10 authors...
#1Kiran Dhakal (GSU: Georgia State University)
#2Martin Norgaard (GSU: Georgia State University)H-Index: 5
Last.Mukesh DhamalaH-Index: 20
view all 5 authors...
Musical improvisation is one of the most complex forms of creative behavior, which offers a realistic task paradigm for the investigation of real-time creativity where revision is not possible. Despite some previous studies on musical improvisation and brain activity, what and how brain areas are involved during musical improvisation are not clearly understood. Here, we designed a new functional magnetic resonance imaging (fMRI) study, in which, while being in the MRI scanner, advanced jazz impr...
#1Peter Kochunov (UMB: University of Maryland, Baltimore)H-Index: 47
#2Brian Donohue (UMB: University of Maryland, Baltimore)H-Index: 1
Last.John Blangero (University of Texas at Austin)H-Index: 92
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Imaging genetic analyses quantify genetic control over quantitative measurements of brain structure and function using coefficients of relationship (CR) that code the degree of shared genetics between subjects. CR can be inferred through self-reported relatedness or calculated empirically using genome-wide SNP scans. We hypothesized that empirical CR provides a more accurate assessment of shared genetics than self-reported relatedness. We tested this in 1,046 participants of the Human Connectome...
#1Peter Kochunov (UMB: University of Maryland, Baltimore)H-Index: 47
#2Binish Patel (UMB: University of Maryland, Baltimore)H-Index: 7
Last.Paul M. Thompson (SC: University of Southern California)H-Index: 129
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Imaging genetic analyses use heritability calculations to measure the fraction of phenotypic variance attributable to additive genetic factors. We tested the agreement between heritability estimates provided by four methods that are used for heritability estimates in neuroimaging traits. SOLAR-Eclipse and OpenMx use iterative maximum likelihood estimation (MLE) methods. Accelerated Permutation inference for ACE (APACE) and fast permutation heritability inference (FPHI), employ fast, non-iterativ...
#1Xiaoming Du (UMB: University of Maryland, Baltimore)H-Index: 13
#2Fow-Sen Choa (UMB: University of Maryland, Baltimore)H-Index: 22
Last.L. Elliot Hong (UMB: University of Maryland, Baltimore)H-Index: 6
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Abstract Background Inhibitory deficits in motor cortex in schizophrenia have been well demonstrated using short-interval intracortical inhibition (SICI) by transcranial magnetic stimulation. However, it remains unknown whether these deficits originate from dysfunction of motor cortex itself or reflect abnormal modulations of motor cortex by other schizophrenia-related brain areas. Methods The study was completed by 24 patients with schizophrenia spectrum disorders and 30 healthy control subject...
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