All roads lead to the default-mode network—global source of DMN abnormalities in major depressive disorder
Major depressive disorder (MDD) is a psychiatric disorder characterized by abnormal resting
state functional connectivity (rsFC) in various neural networks and especially in default …
state functional connectivity (rsFC) in various neural networks and especially in default …
Quantifying performance of machine learning methods for neuroimaging data
Abstract Machine learning is increasingly being applied to neuroimaging data. However,
most machine learning algorithms have not been designed to accommodate neuroimaging …
most machine learning algorithms have not been designed to accommodate neuroimaging …
[HTML][HTML] Data fusion based on searchlight analysis for the prediction of Alzheimer's disease
In recent years, several computer-aided diagnosis (CAD) systems have been proposed for
an early identification of dementia. Although these approaches have mostly used the …
an early identification of dementia. Although these approaches have mostly used the …
PTSD and its dissociative subtype through the lens of the insula: Anterior and posterior insula resting‐state functional connectivity and its predictive validity using …
Individuals with post‐traumatic stress disorder (PTSD) typically experience states of reliving
and hypervigilance; however, the dissociative subtype of PTSD (PTSD+ DS) presents with …
and hypervigilance; however, the dissociative subtype of PTSD (PTSD+ DS) presents with …
[HTML][HTML] Classifying heterogeneous presentations of PTSD via the default mode, central executive, and salience networks with machine learning
AA Nicholson, S Harricharan, M Densmore… - NeuroImage: Clinical, 2020 - Elsevier
Intrinsic connectivity networks (ICNs), including the default mode network (DMN), the central
executive network (CEN), and the salience network (SN) have been shown to be aberrant in …
executive network (CEN), and the salience network (SN) have been shown to be aberrant in …
Predicting differential diagnosis between bipolar and unipolar depression with multiple kernel learning on multimodal structural neuroimaging
One of the greatest challenges in providing early effective treatment in mood disorders is the
early differential diagnosis between major depression (MDD) and bipolar disorder (BD). A …
early differential diagnosis between major depression (MDD) and bipolar disorder (BD). A …
Structural features predict sexual trauma and interpersonal problems in borderline personality disorder but not in controls: A multi-voxel pattern analysis
H Dadomo, G Salvato, G Lapomarda, Z Ciftci… - Frontiers in Human …, 2022 - frontiersin.org
Child trauma plays an important role in the etiology of Bordeline Personality Disorder (BPD).
Of all traumas, sexual trauma is the most common, severe and most associated with …
Of all traumas, sexual trauma is the most common, severe and most associated with …
Structural features related to affective instability correctly classify patients with borderline personality disorder. A supervised machine learning approach
Previous morphometric studies of Borderline Personality Disorder (BPD) reported
inconsistent alterations in cortical and subcortical areas. However, these studies have …
inconsistent alterations in cortical and subcortical areas. However, these studies have …
Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression
The development of methods based on artificial intelligence for the classification of medical
imaging is widespread. Given the high dimensionality of this type of images, it is imperative …
imaging is widespread. Given the high dimensionality of this type of images, it is imperative …
Decoding color visual working memory from EEG signals using graph convolutional neural networks
Color has an important role in object recognition and visual working memory (VWM).
Decoding color VWM in the human brain is helpful to understand the mechanism of visual …
Decoding color VWM in the human brain is helpful to understand the mechanism of visual …