User profiles for J. Manuello
Jordi Manuello, PhDFOCUS Lab and GCS-fMRI, Department of Psychology, University of Turin, Italy Verified email at unito.it Cited by 798 |
Mindfulness meditation and consciousness: An integrative neuroscientific perspective
Although mindfulness meditation has been practiced in the East for more than two millennia,
Western scientific research and healthcare programs have only recently drawn their …
Western scientific research and healthcare programs have only recently drawn their …
[HTML][HTML] The neural correlates of consciousness and attention: two sister processes of the brain
During the last three decades our understanding of the brain processes underlying
consciousness and attention has significantly improved, mainly because of the advances in …
consciousness and attention has significantly improved, mainly because of the advances in …
[HTML][HTML] Updating and characterizing neuroanatomical markers in high-risk subjects, recently diagnosed and chronic patients with schizophrenia: A revised coordinate …
Characterizing neuroanatomical markers of different stages of schizophrenia (SZ) to assess
pathophysiological models of how the disorder develops is an important target for the …
pathophysiological models of how the disorder develops is an important target for the …
The neural correlates of time: a meta-analysis of neuroimaging studies
During the last two decades, our inner sense of time has been repeatedly studied with the
help of neuroimaging techniques. These investigations have suggested the specific …
help of neuroimaging techniques. These investigations have suggested the specific …
[HTML][HTML] The effects of genetic and modifiable risk factors on brain regions vulnerable to ageing and disease
J Manuello, J Min, P McCarthy… - Nature …, 2024 - nature.com
We have previously identified a network of higher-order brain regions particularly vulnerable
to the ageing process, schizophrenia and Alzheimer’s disease. However, it remains …
to the ageing process, schizophrenia and Alzheimer’s disease. However, it remains …
[HTML][HTML] Disentangling predictive processing in the brain: a meta-analytic study in favour of a predictive network
L Ficco, L Mancuso, J Manuello, A Teneggi, D Liloia… - Scientific Reports, 2021 - nature.com
According to the predictive coding (PC) theory, the brain is constantly engaged in predicting
its upcoming states and refining these predictions through error signals. Despite extensive …
its upcoming states and refining these predictions through error signals. Despite extensive …
Brain structural alterations are distributed following functional, anatomic and genetic connectivity
… obtained from our meta-analysis, while edges e i j ∈ E , which represents the connection
strength linking node i and node j. We used three types of connection strength for each model …
strength linking node i and node j. We used three types of connection strength for each model …
The morphometric co‐atrophy networking of schizophrenia, autistic and obsessive spectrum disorders
By means of a novel methodology that can statistically derive patterns of co‐alterations
distribution from voxel‐based morphological data, this study analyzes the patterns of brain …
distribution from voxel‐based morphological data, this study analyzes the patterns of brain …
[HTML][HTML] The homotopic connectivity of the functional brain: a meta-analytic approach
… , we decided to compensate an area of 24 mm of width placed along the midline through a
weight decreasing function proportional to \(\frac{1}{{d}_{ij}}\,\), in which i is the midline and j is …
weight decreasing function proportional to \(\frac{1}{{d}_{ij}}\,\), in which i is the midline and j is …
[HTML][HTML] Tasks activating the default mode network map multiple functional systems
…, S Cavuoti-Cabanillas, D Liloia, J Manuello… - Brain Structure and …, 2022 - Springer
Recent developments in network neuroscience suggest reconsidering what we thought we
knew about the default mode network (DMN). Although this network has always been seen …
knew about the default mode network (DMN). Although this network has always been seen …