Olusola A Ajilore
Overview
Explore the profile of Olusola A Ajilore including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
29
Citations
96
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Kraynak T, Karim H, Banihashemi L, Krafty R, Butters M, Ajilore O, et al.
Neuropsychopharmacology
. 2025 Feb;
PMID: 39915617
In individuals with remitted late-life depression (LLD), stress exposure can increase the likelihood of a new, recurrent depressive episode. Variability in the effect of stress on recurrence risk may reflect...
2.
3.
Radoman M, Phan K, Ajilore O, Gorka S
Biol Psychiatry Cogn Neurosci Neuroimaging
. 2024 Aug;
10(2):213-221.
PMID: 39117274
Background: A developing theory and recent research suggest that heightened reactivity to uncertain stressors or threats may be an important individual difference factor that facilitates excessive drinking as a means...
4.
Nguyen T, Ross M, Ning E, Kabir S, Cladek A, Barve A, et al.
medRxiv
. 2024 Jul;
PMID: 38947017
Impulsivity can be a risk factor for serious complications for those with mood disorders. To understand intra-individual impulsivity variability, we analyzed longitudinal data of a novel gamified digital Go/No-Go (GNG)...
5.
Ronneberg C, Lv N, Ajilore O, Kannampallil T, Smyth J, Kumar V, et al.
Contemp Clin Trials
. 2024 May;
142:107574.
PMID: 38763307
Background: Novel and scalable psychotherapies are urgently needed to address the depression and anxiety epidemic. Leveraging artificial intelligence (AI), a voice-based virtual coach named Lumen was developed to deliver problem...
6.
Wang Y, Yen P, Ajilore O, Bhaumik D
PLoS One
. 2024 Apr;
19(4):e0289401.
PMID: 38573979
Identifying biomarkers is essential to obtain the optimal therapeutic benefit while treating patients with late-life depression (LLD). We compare LLD patients with healthy controls (HC) using resting-state functional magnetic resonance...
7.
Lv N, Kannampallil T, Xiao L, Ronneberg C, Kumar V, Wittels N, et al.
JMIR Hum Factors
. 2023 Nov;
10:e49715.
PMID: 37930781
Background: The quality of user interaction with therapeutic tools has been positively associated with treatment response; however, no studies have investigated these relationships for voice-based digital tools. Objective: This study...
8.
Zucker N, Strauss G, Smyth J, Scherf K, Brotman M, Boyd R, et al.
Perspect Psychol Sci
. 2023 Oct;
:17456916231197980.
PMID: 37874961
There has been slow progress in the development of interventions that prevent and/or reduce mental-health morbidity and mortality. The National Institute of Mental Health (NIMH) launched an experimental-therapeutics initiative with...
9.
Bhaumik D, Wang Y, Yen P, Ajilore O
Front Neuroimaging
. 2023 Aug;
2:1147508.
PMID: 37554638
In this article, we developed a Bayesian multimodal model to detect biomarkers (or neuromarkers) using resting-state functional and structural data while comparing a late-life depression group with a healthy control...
10.
Lv N, Ajilore O, Xiao L, Venditti E, Lavori P, Gerber B, et al.
Biol Psychiatry Glob Open Sci
. 2023 Jul;
3(3):430-442.
PMID: 37519462
Background: Integrated treatments for comorbid depression (often with anxiety) and obesity are lacking; mechanisms are poorly investigated. Methods: In a mechanistic pilot trial, adults with body mass index ≥30 and...