Liangliang Ping

ORCID: 0000-0003-4048-1059
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About
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Research Areas
  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Mental Health Research Topics
  • Advanced MRI Techniques and Applications
  • Obsessive-Compulsive Spectrum Disorders
  • Attention Deficit Hyperactivity Disorder
  • Parkinson's Disease Mechanisms and Treatments
  • Neural dynamics and brain function
  • Autism Spectrum Disorder Research
  • Neurological and metabolic disorders
  • Fetal and Pediatric Neurological Disorders
  • Dementia and Cognitive Impairment Research
  • Botulinum Toxin and Related Neurological Disorders
  • Child and Adolescent Psychosocial and Emotional Development
  • Sleep and related disorders
  • Pain Management and Treatment
  • Neonatal and fetal brain pathology
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Body Image and Dysmorphia Studies
  • Bipolar Disorder and Treatment
  • Sleep and Wakefulness Research
  • Child Abuse and Trauma
  • Transcranial Magnetic Stimulation Studies
  • Obstructive Sleep Apnea Research

Kunming Medical University
2018-2025

Tianjin haihe hospital
2020-2025

First Affiliated Hospital of Kunming Medical University
2018-2022

Objectives: Existing research by machine learning analysis based on neuroimaging in major depressive disorder (MDD) is limited. This study intends to investigate the integrity of white matter patients with MDD using diffusion tensor imaging (DTI) combining approaches and develop a model differentiate from healthy controls (HCs). Materials Methods: Clinical data were collected 60 52 HCs. The tract‐based spatial statistics (TBSS) automated fiber quantification (AFQ) techniques employed analyze...

10.1155/da/3246717 article EN cc-by Depression and Anxiety 2025-01-01

Magnetic resonance imaging (MRI) methods have been used to detect cerebral anatomical distinction between obsessive-compulsive disorder (OCD) patients and healthy controls (HC). Machine learning approach allows for the possibility of discriminating on individual level. However, few studies this automatic technique based multiple modalities identify potential biomarkers OCD. High-resolution structural MRI diffusion tensor (DTI) data were acquired from 48 OCD 45 well-matched HC. Gray matter...

10.3389/fpsyt.2018.00524 article EN cc-by Frontiers in Psychiatry 2018-10-23

Cerebral morphological abnormalities may play a key role in pathogenesis of obsessive-compulsive disorder (OCD). However, few studies have used multimodal imaging strategies to investigate alterations cortical morphometry and white matter (WM) integrity. This study aimed evaluate thickness, subcortical volume, WM integrity characteristics OCD patients comprehensively.We acquired magnetic resonance (MRI) scans from 52 46 well-matched healthy controls (HCs). Cortical thickness volume were...

10.1002/da.22758 article EN Depression and Anxiety 2018-05-07

The neurobiological pathogenesis of major depression disorder (MDD) remains largely controversial. Previous literatures with limited sample size utilizing group-level structural covariance networks (SCN) commonly generated mixed findings regarding the topology brain networks.We analyzed T1 images from a high-powered multisite including 1173 patients MDD and 1019 healthy controls (HCs). We used regional gray matter volume to construct individual SCN by novel approach based on interregional...

10.1017/s003329172300168x article EN Psychological Medicine 2023-07-10

Adult patients with major depressive disorder (MDD) may not actively reveal their suicidal ideation (SI). Therefore, this study is committed to finding the alterations in cingulo-opercular network (CON) that are closely related SI multi-imaging methods, thus providing neuroimaging basis for SI.A total of 198 participants (129 MDD and 69 healthy controls) were recruited evaluated Montgomery-Asberg Depression Rating Scale (MADRS). The individuals formed HC group, while subdivided into no (NSI,...

10.3389/fnins.2022.856366 article EN cc-by Frontiers in Neuroscience 2022-03-02

Abstract Background Previous neuroimaging studies have extensively demonstrated many signs of functionally spontaneous local neural activity abnormalities in bipolar disorder (BD) patients using resting‐state functional magnetic resonance imaging (rs‐fMRI). However, how to identify the changes voxel‐wise whole‐brain connectivity pattern and its corresponding remain largely unclear BD patients. The current study aimed investigate patterns publicly available data from UCLA CNP LA5c Study....

10.1002/brb3.2580 article EN Brain and Behavior 2022-04-21

5,10-Methylenetetrahydrofolate reductase (MTHFR) gene C677T polymorphism is considered as a predisposition and promising genetic candidate to major depressive disorder (MDD), it associated with impaired one-carbon cycles, which may be involved in the pathogenesis of depression. Cortical thickness (CT) subcortical structure volumes have been extensively studied MDD proposed one phenotypes for MDD. We intend discuss association between CT, volume, MTHFR first-episode, treatment-naive patients...

10.3389/fpsyt.2020.531959 article EN cc-by Frontiers in Psychiatry 2020-12-07

<title>Abstract</title> Cortical morphological abnormalities are one of the neuropathological changes obsessive-compulsive disorder (OCD). The surface-based morphometry (SBM) analyses have reported altered cortical thickness (CTh) among patients with OCD in numerous neuroimaging studies; however, results been inconsistent. We attempting to utilize meta-analysis whole-brain data investigate individuals OCD. This endeavor may enhance spatial accuracy identification, thus effectively improving...

10.21203/rs.3.rs-4622603/v1 preprint EN Research Square (Research Square) 2024-07-19
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