
Danielle D. DeSouza- MSc, PhD
- Scientist at Stanford University
Danielle D. DeSouza
- MSc, PhD
- Scientist at Stanford University
About
62
Publications
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Introduction
Current institution
Additional affiliations
January 2010 - May 2015
Publications
Publications (62)
Idiopathic trigeminal neuralgia (TN) is classically associated with neurovascular compression (NVC) of the trigeminal nerve at the root entry zone (REZ), but NVC-induced structural alterations are not always apparent on conventional imaging. Previous studies report lower fractional anisotropy (FA) in the affected trigeminal nerves of TN patients us...
Classical trigeminal neuralgia (TN) is a severe neuropathic facial pain disorder commonly associated with neurovascular compression at the trigeminal nerve root entry zone (REZ). Neurosurgical interventions can relieve TN pain, but the mechanisms underlying these effects are unknown. Here we determined if the abnormalities we previously reported at...
Despite its prevalence and high disease burden, the pathophysiological mechanisms underlying chronic migraine (CM) are not well understood. As CM is a complex disorder associated with a range of sensory, cognitive, and affective comorbidities, examining structural network disruption may provide additional insights into CM symptomology beyond studie...
Hypnosis is the oldest form of Western psychotherapy and a powerful evidence-based treatment for numerous disorders. Hypnotizability is variable between individuals; however, it is a stable trait throughout adulthood, suggesting that neurophysiological factors may underlie hypnotic responsiveness. One brain region of particular interest in function...
Objective: To characterize the role of the amygdala in episodic (EM) and chronic (CM) migraine, we evaluated amygdala volumes, functional connectivity (FC), and associations with clinical and affective measures.
Methods: Eighty-eight patients (44 with EM and 44 age- and sex-matched patients with CM) completed anatomical and resting-state functional...
Our objective was to evaluate an optimized SAINT continuation treatment paradigm for treatment resistant depression (TRD) patients who initially remitted with SAINT with the goal of maintaining remission.
Throughout 12 months of personalized continuation therapy (PCT) as indicated by a proprietary algorithm, we found participants' average MADRS s...
Introduction: Accelerated repetitive transcranial magnetic stimulation (rTMS) is a high-dose precision-targeted treatment that can induce rapid remission from depressive symptoms with only five days of treatment. However, real-world outcomes and the various demographic, clinical, and treatment variables that influence its effectiveness are not full...
Hypnotizability, one’s ability to experience cognitive, emotional, behavioral and physical changes in response to suggestions in the context of hypnosis, is a stable neurobehavioral trait associated with improved treatment outcomes from hypnosis-based therapy. Increasing hypnotizability in people who are low-to-medium hypnotizable individuals could...
Background: Intermittent theta burst stimulation (iTBS) is a safe and effective form of repetitive transcranial magnetic stimulation (rTMS) for depression in adults. Accelerated protocols involving multiple sessions per day, have become popular possibly attributed to their potential for rapid antidepressant effects. Previous literature has shown iT...
Objective
Depression is a common mental health disorder and a major public health concern, significantly interfering with the lives of those affected. The complex clinical presentation of depression complicates symptom assessments. Day-to-day fluctuations of depression symptoms within an individual bring an additional barrier, since infrequent test...
Advances in applied machine learning techniques for neuroimaging have encouraged scientists to implement models to diagnose brain disorders such as Alzheimer’s disease at early stages. Predicting the exact stage of Alzheimer’s disease is challenging; however, complex deep learning techniques can precisely manage this. While successful, these comple...
Graphical representations of speech generate powerful computational measures related to psychosis. Previous studies have mostly relied on structural relations between words as the basis of graph formation, i.e., connecting each word to the next in a sequence of words. Here, we introduced a method of graph formation grounded in semantic relationship...
Migraine is a heterogeneous disorder with variable symptoms and responsiveness to therapy. Because of previous analytic shortcomings, variance in migraine symptoms has been inconsistently related to brain function. In the current analysis, we used data from two sites (n = 143, male and female humans), and performed canonical correlation analysis, r...
BACKGROUND
Frequent interaction with mental health professionals is required to screen, diagnose, and track mental health disorders. However, high costs and insufficient access can make frequent interaction difficult. The ability to assess a mental health disorder passively and at frequent intervals could be a useful complement to conventional trea...
Background
Frequent interaction with mental health professionals is required to screen, diagnose, and track mental health disorders. However, high costs and insufficient access can make frequent interactions difficult. The ability to assess a mental health disorder passively and at frequent intervals could be a useful complement to the conventional...
Graphical representations of speech generate powerful computational measures related to psychosis. Previous studies have mostly relied on structural relations between words as the basis of graph formation, i.e. connecting each word to the next in a sequence of words. Here, we introduced a method of graph formation grounded in semantic relationships...
BACKGROUND
The measurement and monitoring of Generalized Anxiety Disorder (GAD) requires frequent interaction with psychiatrists or psychologists. Access to mental health professionals is often difficult due to high costs or insufficient availability. The ability to assess GAD passively and at frequent intervals could be a useful complement to conv...
Background
The measurement and monitoring of generalized anxiety disorder requires frequent interaction with psychiatrists or psychologists. Access to mental health professionals is often difficult because of high costs or insufficient availability. The ability to assess generalized anxiety disorder passively and at frequent intervals could be a us...
Background
Speech and language changes have been reported to occur across a range of neurodegenerative disorders, including Alzheimer’s Disease (AD), Frontotemporal Dementia (FTD) and Parkinson’s Disease (PD). Characterizing and quantifying such changes will enable the development of novel speech‐based measures to identify and monitor disease remot...
Advances in applied machine learning techniques to neuroimaging have encouraged scientists to implement models to early diagnose brain disorders such as Alzheimer's Disease. Predicting various stages of Alzheimer's disease is challenging; however, existing deep learning complex techniques could perform such a prediction. Therefore, using novel arch...
Late-life depression (LLD) is a major public health concern. Despite the availability of effective treatments for depression, barriers to screening and diagnosis still exist. The use of current standardized depression assessments can lead to underdiagnosis or misdiagnosis due to subjective symptom reporting and the distinct cognitive, psychomotor,...
Hypnotizability, one’s ability to experience cognitive, emotional, behavioral, and physical changes in response to suggestions in the context of hypnosis, is a highly stable trait associated with increased functional connectivity between the left dorsolateral prefrontal cortex (L-DLPFC) and dorsal anterior cingulate cortex (dACC). We conducted a pr...
Migraine is a heterogeneous disorder with variable symptoms and responsiveness to therapy. Due to previous analytic shortcomings, variance in migraine symptoms has been weakly and inconsistently related to brain function. Taking advantage of neural network organization measured through resting-state functional connectivity (RSFC) and advanced stati...
Background
Gulf War Illness (GWI) is a poorly understood condition characterized by a constellation of mood, cognitive, and physical symptoms. A growing body of evidence demonstrates autonomic nervous system (ANS) dysfunction. Few published treatment studies exist for GWI.
Method
We recently completed a randomized controlled trial comparing a 10-w...
Mild cognitive impairment (MCI) represents the intermediate stage between normal cerebral aging and dementia associated with Alzheimer's disease (AD). Early diagnosis of MCI and AD through artificial intelligence has captured considerable scholarly interest; researchers hope to develop therapies capable of slowing or halting these processes. We dev...
Our understanding of brain abnormalities in headache syndromes has greatly improved with the use of advanced neuroimaging methods. Neuroimaging allows for the noninvasive examination of brain structure and function using modalities such as magnetic resonance imaging (MRI). Measures of brain structure include those that can assess gray matter volume...
Objectives
The objectives of this cross‐sectional pilot study were threefold: to identify regions of cortical thickness that differentiate chronic migraine (CM) from controls, to assess group differences in interregional cortical thickness covariance, and to determine group differences in associations between clinical variables and cortical thickne...
Objectives: Obesity is a known modifiable risk factor for
migraine chronification. To date, obesity-related cortical
changes of chronic migraine have not been explored. The
objective of this study was to examine obesity-related changes
on cortical thickness in chronic migraine.
Methods: 30 chronic migraine cases (mean age 40.5 years;
male-to-female...
Diffusion-weighted imaging (DWI)-based tractography has gained increasing popularity as a method for detailed visualization of white matter (WM) tracts. Different imaging techniques, and more novel, advanced imaging methods provide significant WM structural detail. While there has been greater focus on improving tract visualization for larger WM pa...
Classical trigeminal neuralgia (TN) is a chronic pain disorder that has been described as one of the most severe pains one can suffer. The most prevalent theory of TN etiology is that the trigeminal nerve is compressed at the root entry zone (REZ) by blood vessels. However, there is significant evidence showing a lack of neurovascular compression (...
Transient headache exacerbation during IV dihydroergotamine (DHE) therapy of migraine may prompt clinicians to prematurely discontinue DHE therapy, potentially depriving patients of the full benefit of DHE infusion. In a recent Neurology (R) article, Eller et al. evaluated whether or not worsening headache during DHE infusion was associated with su...
There is evidence to suggest that migraine attacks involve changes in complex neuronal networks that can be measured using functional MRI (fMRI) methods including resting state functional connectivity (RSFC). Networks that have previously been shown to be involved in the sensory and affective aspects of pain perception include the default mode netw...
To extract patterns from neuroimaging data, various statistical methods and machine learning algorithms have been explored for the diagnosis of Alzheimer’s disease among older adults in both clinical and research applications; however, distinguishing between Alzheimer’s and healthy brain data has been challenging in older adults (age > 75) due to h...
Unlabelled:
Temporal summation of pain (TSP), the perception of increasingly greater pain evoked by repetitive noxious stimuli, is highly variable between individuals. Individuals with facilitated pain processing and/or reduced pain-modulatory capabilities are regarded as pronociceptive, whereas individuals with reduced pain processing capacity ar...
Background
Trigeminal neuralgia secondary to multiple sclerosis (MS-TN) is a facial neuropathic pain syndrome similar to classic trigeminal neuralgia (TN). While TN is caused by neurovascular compression of the fifth cranial nerve (CN V), how MS-related demyelination correlates with pain in MS-TN is not understood.
Objectives
We aim to examine dif...
Overlapping functional magnetic resonance imaging (fMRI) activity elicited by physical pain and social rejection has posited a common neural representation between the two experiences. However, Woo and colleagues (Woo et al., 2014) recently used multivariate statistics to challenge the 'shared representation' theory of pain. This study has implicat...
Idiopathic trigeminal neuralgia (TN) is characterized by paroxysms of severe facial pain but without the major sensory loss that commonly accompanies neuropathic pain. Since neurovascular compression of the trigeminal nerve root entry zone does not fully explain the pathogenesis of TN, we determined whether there were brain gray matter abnormalitie...
Several studies have investigated various chronic pain populations for structural brain abnormalities in gray matter (GM). Most studies report decreases in GM volume and/or thickness in regions related to antinociceptive, cognitive, and/or limbic functions ([May, 2011][1]). Conversely, some of these
To demonstrate subacute progression of white matter (WM) injury (4.5mo-2.5y postinjury) in patients with traumatic brain injury using diffusion-tensor imaging.
Prospective, repeated-measures, within-subjects design.
Inpatient neurorehabilitation program and teaching hospital MRI department.
Brain-injured adults (N=13) with a mean Glasgow Coma Scale...