Brian Lithgow

Prof. Brian Lithgow


Research Focus & Metrics

Academic Career Length

35Years (1992-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2015 in Journal of the Neurological Sciences
Verified
Journal Article
Closed access
BLBrian Lithgow
Brian Lithgow
MSMehrnaz Shoushtarian
Mehrnaz Shoushtarian

6 August 2018 in European Archives of Psychiatry and Clinical Neuroscience
Verified
Journal Article
Closed access
PDF file
BLBrian Lithgow
Brian Lithgow
ZMZahra Moussavi
Zahra Moussavi
Caroline GurvichCaroline Gurvich
Caroline Gurvich
JKJayashri Kulkarni
Jayashri Kulkarni
JMJerome J. Maller
Jerome J. Maller
PFPaul B. Fitzgerald
Paul B. Fitzgerald

18 April 2019 in The World Journal of Biological Psychiatry
Verified
Journal Article
Closed access
BLBrian Lithgow
Brian Lithgow
ZMZahra Moussavi
Zahra Moussavi
PFPaul B. Fitzgerald
Paul B. Fitzgerald
Objectives: No electrophysiological, neuroimaging or genetic markers have been established that strongly relate to the diagnostic separation of bipolar disorder (BD) and major depressive disorder (MDD). This paper’s objective is to describe the potential of features, extracted from the recording of electrical activity from the outer ear canal, in a process called electrovestibulography (EVestG), for identifying depressed and partly remitted/remitted MDD and BD patients from each other. Methods: From EVestG data four sensory vestibulo-acoustic features were extracted from both background (no movement) and using a single supine-vertical translation stimulus to distinguish 27 controls, 39 MDD and 43 BD patients. Results: Using leave-one-out-cross-validation, unbiased parametric and non-parametric classification routines resulted in 78–83% (2–3 features), 80–81% (1–2 features) and 66–68% (3 features) accuracies for separation of MDD from BD, controls from depressed (BD & MDD) and the 3-way separation of BD from MDD from control groups, respectively. The main limitations of this study were the inability to fully disentangle the impact of prescribed medication from the responses and also the limited sample size. Conclusions: EVestG features can reliably identify depressed and partly remitted/remitted MDD and BD patients from each other.

15 July 2021 in Medical & Biological Engineering & Computing
Verified
Journal Article
Closed access
PDF file
BLBrian Lithgow
Brian Lithgow
ZDZeinab Dastgheib
Zeinab Dastgheib
NANeda Anssari
Neda Anssari
BMBehzad Mansouri
Behzad Mansouri
BBBrian Blakley
Brian Blakley
ZMZahra Moussavi
Zahra Moussavi

8 January 2021 in JMIR Research Protocols
Verified
Journal Article
Open access
Zahra MoussaviZahra Moussavi
Zahra Moussavi
GRGrant Rutherford
Grant Rutherford
BLBrian Lithgow
Brian Lithgow
CMColleen Millikin
Colleen Millikin
MMMandana Modirrousta
Mandana Modirrousta
LKLisa Koski
Lisa Koski
Background: Alzheimer disease has no known cure. As existing pharmacologic interventions only modestly slow cognitive decline, there is a need for new treatments. Recent trials of repetitive transcranial magnetic stimulation (rTMS) have reported encouraging results for improving or stabilizing cognition in patients diagnosed with Alzheimer dementia. However, owing to small samples and lack of a well-controlled double-blind design, the results to date are inconclusive. This paper presents the protocol for a large placebo-controlled double-blind study designed with sufficient statistical rigor to measure the efficacy of rTMS treatment in patients with Alzheimer dementia. Objective: The objectives are to (1) recruit and enroll up to 200 eligible participants, (2) estimate the difference in treatment effects between active treatment and sham treatment, (3) estimate the difference in treatment effects between two doses of rTMS applications, (4) estimate the duration of treatment effects among responders to active rTMS treatment, and (5) estimate the effect of dementia severity on treatment outcomes among patients receiving active rTMS treatment. Methods: We have designed our study to be a double-blind, randomized, placebo-controlled clinical trial investigating the short- and long-term (up to 6 months) benefits of active rTMS treatment at two doses (10 sessions over 2 weeks and 20 sessions over 4 weeks) compared with sham rTMS treatment. The study will include patients aged ≥55 years who are diagnosed with Alzheimer disease at an early to moderate stage and have no history of seizures and no major depression. The primary outcome measure is the change in the Alzheimer Disease Assessment Scale-Cognitive Subscale score from pretreatment to posttreatment. Secondary outcomes are changes in performance on tests of frontal lobe functioning (Stroop test and verbal fluency), changes in neuropsychiatric symptoms (Neuropsychiatric Inventory Questionnaire), and changes in activities of daily living (Alzheimer Disease Co-operative Study-Activities of Daily Living Inventory). Tolerability of the intervention will be assessed using a modification of the Treatment Satisfaction Questionnaire for Medication. We assess participants at baseline and 3, 5, 8, 16, and 24 weeks after the intervention. Results: As of November 1, 2020, we have screened 523 individuals, out of which 133 were eligible and have been enrolled. Out of the 133 individuals, 104 have completed the study. Moreover, as of November 1, 2020, there has been no serious adverse event. We anticipate that rTMS will considerably improve cognitive function, with effects lasting up to 3 months. Moreover, we expect rTMS to be a well-tolerated treatment with no serious side effect. Conclusions: This protocol design will allow to address both the rTMS active treatment dose and its short- and long-term effects compared with sham treatment in large samples. Trial Registration: ClinicalTrials.gov NCT02908815; https://clinicaltrials.gov/ct2/show/NCT02908815 International Registered Report Identifier (IRRID): DERR1-10.2196/25144

1 February 2022 in Psychiatry Research
Verified
Journal Article
Closed access
BLBrian Lithgow
Brian Lithgow
ZDZeinab Dastgheib
Zeinab Dastgheib
ZMZahra Moussavi
Zahra Moussavi