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Faculty Profile

Suril Gohel, Ph.D.

The Neuroinformatics Lab at Rutgers focuses on understanding human brain function during resting state and in task conditions, and how that is disrupted by cognitive challenges and in neuro-clinical populations.

Specifically, we use multiband, neuroimaging data to understand and quantify frequency-specific changes in functional brain integration. Using multiband fMRI acquisition sequences, we have shown the presence of functional integration between brain regions in BOLD signal frequencies higher than 0.1 Hz (Gohel et al. 2015).

These results have further led to quantification of frequency-specific differences in BOLD signal power in drug-naive schizophrenia patients compared to healthy volunteers (Gohel et al., 2018). Secondarily, our research focuses on using advanced neuroimaging data collection and analytical strategies to understand functional brain disruptions in clinical populations. We have successfully used functional neuroimaging to quantify brain disruptions in a variety of neurological disorders, including brain injury, (Gohel, Bharath et al., 2015), and brain tumors (Gohel et al. 2019) as well as mental health disorders including addiction (Filbey, Gohel, et al., 2018) and psychosis (Gohel et al., 2018).

Finally, we also focus on methods of development for quantifying neuronal and neurophysiological components of BOLD fMRI signal and its disruptions in clinical population.


Keywords: fMRI, NeuroImaging, Neuroscience

Farzin Hajebrahimi
Post-doctoral Fellow
farzin.hajebrahimi@rutgers.edu

Prashant Ingle
Ph.D. student
pi45@shp.rutgers.edu

Grant Funding  


Title:
Convergence Insufficiency in Persisted Post-Concussion Syndrome

Sponsor Agency: NEI/NIH

Brief Overview of Aims: This study is aimed at investigating impact of office-based vergence accommodative therapy on subjects with in Persisted Post-Concussion CI symptoms.

Total Dollar Amount: $700,000

Funding Period: 2021-2025

Selected Publications

  1. Gohel, S.R. and Biswal, B.B., 2015. Functional integration between brain regions at rest occurs in multiple-frequency bands. Brain connectivity5(1), pp.23-34.
  2. Gohel, S., Gallego, J.A., Robinson, D.G., DeRosse, P., Biswal, B. and Szeszko, P.R., 2018. Frequency specific resting state functional abnormalities in psychosis. Human brain mapping39(11), pp.4509-4518
  3. Morales, C., Gohel, S., Li, X., Scheiman, M., Biswal, B.B., Santos, E.M., Yaramothu, C. and Alvarez, T.L., 2020. Test–retest reliability of functional magnetic resonance imaging activation for a vergence eye movement task. Neuroscience Bulletin36, pp.506-518.
  4. Alvarez, T.L., Scheiman, M., Santos, E.M., Morales, C., Yaramothu, C., D’Antonio-Bertagnolli, J.V., Biswal, B.B., Gohel, S. and Li, X., 2020. The convergence insufficiency neuro-mechanism in adult population study (CINAPS) randomized clinical trial: Design, methods, and clinical data. Ophthalmic epidemiology27(1), pp.52-72.
  5. Di, X., Gohel, S., Thielcke, A., Wehrl, H.F., Biswal, B.B. and Alzheimer’s Disease Neuroimaging Initiative, 2017. Do all roads lead to Rome? A comparison of brain networks derived from inter-subject volumetric and metabolic covariance and moment-to-moment hemodynamic correlations in old individuals. Brain Structure and Function222, pp.3833-3845.

Are you interested in collaboration/engaging with research?  Please email at  suril.gohel@rutgers.edu.

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