scispace - formally typeset
M

Manesh Girn

Researcher at Montreal Neurological Institute and Hospital

Publications -  23
Citations -  1117

Manesh Girn is an academic researcher from Montreal Neurological Institute and Hospital. The author has contributed to research in topics: Functional neuroimaging & Medicine. The author has an hindex of 9, co-authored 17 publications receiving 826 citations. Previous affiliations of Manesh Girn include McGill University & University of British Columbia.

Papers
More filters
Journal ArticleDOI

Functional neuroanatomy of meditation: A review and meta-analysis of 78 functional neuroimaging investigations

TL;DR: A meta-analysis of functional neuroimaging studies of meditation supports the neurophysiological dissociability of meditation practices, but also raises many methodological concerns and suggests avenues for future research.
Posted Content

Functional neuroanatomy of meditation: A review and meta-analysis of 78 functional neuroimaging investigations

TL;DR: For instance, this paper found reliably dissociable patterns of brain activation and deactivation for four common styles of meditation (focused attention, mantra recitation, open monitoring, and compassion/loving-kindness), and suggestive differences for three others (visualization, sense-withdrawal, and non-dual awareness practices).
Journal ArticleDOI

Interactions between the default network and dorsal attention network vary across default subsystems, time, and cognitive states.

TL;DR: The findings demonstrate that DN‐DAN interactions are not stable, but rather, exhibit substantial variability across time and context, and are coordinated with broader network dynamics involving the FPCN.
Journal ArticleDOI

Updating the dynamic framework of thought: Creativity and psychedelics.

TL;DR: It is proposed that the psychedelic state is a mental state with high potential for facilitating creative generation and the Dynamic Framework of Thought is updated to incorporate this state.
Journal ArticleDOI

Targeting age-related differences in brain and cognition with multimodal imaging and connectome topography profiling.

TL;DR: The results strengthen existing evidence of structural and metabolic change in the aging brain and support the use of connectivity gradients as a compact framework to analyze and conceptualize brain‐based biomarkers of aging.