Evidence for embracing normative modeling
In this work, we expand the normative model repository introduced in Rutherford et al.,
2022a to include normative models charting lifespan trajectories of structural surface area …
2022a to include normative models charting lifespan trajectories of structural surface area …
Automation of literature screening using machine learning in medical evidence synthesis: a diagnostic test accuracy systematic review protocol
Background Systematic review is an indispensable tool for optimal evidence collection and
evaluation in evidence-based medicine. However, the explosive increase of the original …
evaluation in evidence-based medicine. However, the explosive increase of the original …
Alterations of intrinsic brain connectivity patterns in depression and bipolar disorders: a critical assessment of magnetoencephalography-based evidence
G Alamian, AS Hincapié, E Combrisson… - Frontiers in …, 2017 - frontiersin.org
Despite being the object of a thriving field of clinical research, the investigation of intrinsic
brain network alterations in psychiatric illnesses is still in its early days. Because the …
brain network alterations in psychiatric illnesses is still in its early days. Because the …
Deep multimodal predictome for studying mental disorders
Characterizing neuropsychiatric disorders is challenging due to heterogeneity in the
population. We propose combining structural and functional neuroimaging and genomic …
population. We propose combining structural and functional neuroimaging and genomic …
Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness
Neuropsychiatric disorders such as schizophrenia are very heterogeneous in nature and
typically diagnosed using self-reported symptoms. This makes it difficult to pose a confident …
typically diagnosed using self-reported symptoms. This makes it difficult to pose a confident …
Multimodal MRI assessment for first episode psychosis: A major change in the thalamus and an efficient stratification of a subgroup
Multi‐institutional brain imaging studies have emerged to resolve conflicting results among
individual studies. However, adjusting multiple variables at the technical and cohort levels is …
individual studies. However, adjusting multiple variables at the technical and cohort levels is …
Transdiagnostic differences in the resting-state functional connectivity of the prefrontal cortex in depression and schizophrenia
Background Depression and schizophrenia are two of the most serious psychiatric
disorders. They share similar symptoms but the pathology-specific commonalities and …
disorders. They share similar symptoms but the pathology-specific commonalities and …
A multimodal magnetoencephalography 7 T fMRI and 7 T proton MR spectroscopy study in first episode psychosis
Abstract We combined magnetoencephalography (MEG), 7 T proton magnetic resonance
spectroscopy (MRS), and 7 T fMRI during performance of a task in a group of 23 first episode …
spectroscopy (MRS), and 7 T fMRI during performance of a task in a group of 23 first episode …
Deficit versus nondeficit schizophrenia: An MEG-EEG investigation of resting state and source coherence—Preliminary data
K G**i, SM Bowyer, F Wang… - Clinical EEG and …, 2020 - journals.sagepub.com
This study investigated the magneto-and electroencephalography (MEG and EEG,
respectively) resting state to identify the deviations closely associated with the deficit …
respectively) resting state to identify the deviations closely associated with the deficit …
Evidence for Embracing Normative Modeling
In this work, we expand the normative model repository introduced in Rutherford et
al.(2022a) to include normative models charting lifespan trajectories of structural surface …
al.(2022a) to include normative models charting lifespan trajectories of structural surface …