Linking interindividual variability in brain structure to behaviour

S Genon, SB Eickhoff, S Kharabian - Nature Reviews Neuroscience, 2022 - nature.com
What are the brain structural correlates of interindividual differences in behaviour? More
than a decade ago, advances in structural MRI opened promising new avenues to address …

[HTML][HTML] Pharmacological, neural, and psychological mechanisms underlying psychedelics: A critical review

M van Elk, DB Yaden - Neuroscience & Biobehavioral Reviews, 2022 - Elsevier
This paper provides a critical review of several possible mechanisms at different levels of
analysis underlying the effects and therapeutic potential of psychedelics. At the (1) …

Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review

A Shoeibi, M Khodatars, M Jafari, N Ghassemi… - Information …, 2023 - Elsevier
Brain diseases, including tumors and mental and neurological disorders, seriously threaten
the health and well-being of millions of people worldwide. Structural and functional …

Application of graph theory for identifying connectivity patterns in human brain networks: a systematic review

FV Farahani, W Karwowski, NR Lighthall - frontiers in Neuroscience, 2019 - frontiersin.org
Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …

Understanding the physiopathology behind axial and radial diffusivity changes—what do we know?

PJ Winklewski, A Sabisz, P Naumczyk, K Jodzio… - Frontiers in …, 2018 - frontiersin.org
The use of the diffusion tensor imaging (DTI) is rapidly growing in the neuroimaging field.
Nevertheless, rigorously performed quantitative validation of DTI pathologic metrics remains …

Revisiting the functional anatomy of the human brain: toward a meta-networking theory of cerebral functions

G Herbet, H Duffau - Physiological Reviews, 2020 - journals.physiology.org
For more than one century, brain processing was mainly thought in a localizationist
framework, in which one given function was underpinned by a discrete, isolated cortical …

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls

MR Arbabshirani, S Plis, J Sui, VD Calhoun - Neuroimage, 2017 - Elsevier
Neuroimaging-based single subject prediction of brain disorders has gained increasing
attention in recent years. Using a variety of neuroimaging modalities such as structural …

Brain atrophy in Alzheimer's disease and aging

L Pini, M Pievani, M Bocchetta, D Altomare… - Ageing research …, 2016 - Elsevier
Thanks to its safety and accessibility, magnetic resonance imaging (MRI) is extensively used
in clinical routine and research field, largely contributing to our understanding of the …

Machine learning in major depression: From classification to treatment outcome prediction

S Gao, VD Calhoun, J Sui - CNS neuroscience & therapeutics, 2018 - Wiley Online Library
Aims Major depression disorder (MDD) is the single greatest cause of disability and
morbidity, and affects about 10% of the population worldwide. Currently, there are no …

White matter changes in Parkinson's disease

K Yang, Z Wu, J Long, W Li, X Wang, N Hu… - npj Parkinson's …, 2023 - nature.com
Parkinson's disease (PD) is the second most common neurodegenerative disease after
Alzheimer's disease (AD). It is characterized by a progressive loss of dopaminergic neurons …