Miss Shayanti Chattopadhyay Mukherjee

Shayanti Chattopadhyay Mukherjee

University position

PhD student
Supervised by Prof John Suckling

Departments

Department of Psychiatry

Institutes

Centre for Applied Research in Educational Technologies (CARET)

Email

sc751@cam.ac.uk

Home page

http://www.psychiatry.cam.ac.uk/

Research Theme

Systems and Computational Neuroscience

Interests

Statistical modelling of brain connectivity networks in adolescent depression

Research Focus

Keywords

statistics

connectivity

networks

adolescent depression

image analysis

Clinical conditions

Depressive disorders

Equipment

Computational modelling

Magnetic resonance imaging (MRI)

R, Python, Statistics

Collaborators

No collaborators listed

Associated News Items


    Publications

    2015

    Simas T, Chattopadhyay S, Hagan C, Kundu P, Patel A, Holt R, Floris D, Graham J, Ooi C, Tait R, Spencer M, Baron-Cohen S, Sahakian B, Bullmore E, Goodyer I, Suckling J (2015), “Semi-Metric Topology of the Human Connectome: Sensitivity and Specificity to Autism and Major Depressive Disorder.” PLoS One 10(8):e0136388 Details

    Suckling J, Simas T, Chattopadhyay S, Tait R, Su L, Williams G, Rowe JB, O'Brien JT (2015), “A Winding Road: Alzheimer's Disease Increases Circuitous Functional Connectivity Pathways.” Front Comput Neurosci 9:140