Rajan Kashyap, Bharath Holla, Sagarika Bhattacharjee, Eesha Sharma, Urvakhsh Meherwan Mehta, Nilakshi Vaidya, Rose Dawn Bharath, Pratima Murthy, Debashish Basu, Subodh Bhagyalakshmi Nanjayya, Rajkumar Lenin Singh, Roshan Lourembam, Amit Chakrabarti, Kamakshi Kartik, Kartik Kalyanram, Kalyanaraman Kumaran, Ghattu Krishnaveni, Murali Krishna, Rebecca Kuriyan, Sunita Simon Kurpad, Sylvane Desrivieres, Meera Purushottam, Gareth Barker, Dimitri Papadopoulos Orfanos, Matthew Hickman, Jon Heron, Mireille Toledano, Gunter Schumann, Vivek Benegal
BACKGROUND: Several factors shape the neurodevelopmental trajectory. A key area of focus in neurodevelopmental research is to estimate the factors that have maximal influence on the brain and can tip the balance from typical to atypical development. METHODS: Utilizing a dissimilarity maximization algorithm on the dynamic mode decomposition (DMD) of the resting state functional MRI data, we classified subjects from the cVEDA neurodevelopmental cohort ( n = 987, aged 6-23 years) into homogeneously patterned DMD (representing typical development in 809 subjects) and heterogeneously patterned DMD (indicative of atypical development in 178 subjects)...
March 21, 2024: Psychological Medicine