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Andre Zugman, Grace V Ringlein, Emily S Finn, Krystal M Lewis, Erin Berman, Wendy K Silverman, Eli R Lebowitz, Daniel S Pine, Anderson M Winkler
BACKGROUND: Because pediatric anxiety disorders precede the onset of many other problems, successful prediction of response to the first-line treatment, cognitive-behavioral therapy (CBT), could have major impact. However, existing clinical models are weakly predictive. The current study evaluates whether structural and resting-state functional magnetic resonance imaging can predict post-CBT anxiety symptoms. METHODS: Two datasets were studied: (A) one consisted of n=54 subjects with an anxiety diagnosis, who received 12 weeks of CBT, and (B) one consisted of n=15 subjects treated for 8 weeks...
January 30, 2024: medRxiv
#22
JOURNAL ARTICLE
Yu-Chi Chen, Jeggan Tiego, Ashlea Segal, Sidhant Chopra, Alexander Holmes, Chao Suo, James C Pang, Alex Fornito, Kevin M Aquino
Psychosis has often been linked to abnormal cortical asymmetry, but prior results have been inconsistent. Here, we applied a novel spectral shape analysis to characterize cortical shape asymmetries in patients with early psychosis across different spatial scales. We used the Human Connectome Project for Early Psychosis dataset (aged 16-35), comprising 56 healthy controls (37 males, 19 females) and 112 patients with early psychosis (68 males, 44 females). We quantified shape variations of each hemisphere over different spatial frequencies and applied a general linear model to compare differences between healthy controls and patients with early psychosis...
2024: Brain communications
#23
JOURNAL ARTICLE
Jiang Zhang, Zhiwei Zhang, Hui Sun, Yingzi Ma, Jia Yang, Kexuan Chen, Xiaohui Yu, Tianwei Qin, Tianyu Zhao, Jingyue Zhang, Congying Chu, Jiaojian Wang
Autism spectrum disorder (ASD) and Attention-deficit/hyperactivity disorder (ADHD) are two typical neurodevelopmental disorders that have a long-term impact on physical and mental health. ASD is usually comorbid with ADHD and thus shares highly overlapping clinical symptoms. Delineating the shared and distinct neurophysiological profiles is important to uncover the neurobiological mechanisms to guide better therapy. In this study, we aimed to establish the behaviors, functional connectome, and network properties differences between ASD, ADHD-Combined, and ADHD-Inattentive using resting-state functional magnetic resonance imaging...
February 12, 2024: Translational Psychiatry
#24
JOURNAL ARTICLE
Seulki Yoo, Yurim Jang, Seok-Jun Hong, Hyunjin Park, Sofie L Valk, Boris C Bernhardt, Bo-Yong Park
Autism spectrum disorder is a common neurodevelopmental condition that manifests as a disruption in sensory and social skills. Although it has been shown that the brain morphology of individuals with autism is asymmetric, how this differentially affects the structural connectome organization of each hemisphere remains under-investigated. We studied whole-brain structural connectivity-based brain asymmetry in individuals with autism using diffusion magnetic resonance imaging obtained from the Autism Brain Imaging Data Exchange initiative...
February 8, 2024: NeuroImage
#25
JOURNAL ARTICLE
Foivos Georgiadis, Sara Larivière, David Glahn, L Elliot Hong, Peter Kochunov, Bryan Mowry, Carmel Loughland, Christos Pantelis, Frans A Henskens, Melissa J Green, Murray J Cairns, Patricia T Michie, Paul E Rasser, Stanley Catts, Paul Tooney, Rodney J Scott, Ulrich Schall, Vaughan Carr, Yann Quidé, Axel Krug, Frederike Stein, Igor Nenadić, Katharina Brosch, Tilo Kircher, Raquel Gur, Ruben Gur, Theodore D Satterthwaite, Andriana Karuk, Edith Pomarol-Clotet, Joaquim Radua, Paola Fuentes-Claramonte, Raymond Salvador, Gianfranco Spalletta, Aristotle Voineskos, Kang Sim, Benedicto Crespo-Facorro, Diana Tordesillas Gutiérrez, Stefan Ehrlich, Nicolas Crossley, Dominik Grotegerd, Jonathan Repple, Rebekka Lencer, Udo Dannlowski, Vince Calhoun, Kelly Rootes-Murdy, Caroline Demro, Ian S Ramsay, Scott R Sponheim, Andre Schmidt, Stefan Borgwardt, Alexander Tomyshev, Irina Lebedeva, Cyril Höschl, Filip Spaniel, Adrian Preda, Dana Nguyen, Anne Uhlmann, Dan J Stein, Fleur Howells, Henk S Temmingh, Ana M Diaz Zuluaga, Carlos López Jaramillo, Felice Iasevoli, Ellen Ji, Stephanie Homan, Wolfgang Omlor, Philipp Homan, Stefan Kaiser, Erich Seifritz, Bratislav Misic, Sofie L Valk, Paul Thompson, Theo G M van Erp, Jessica A Turner, Boris Bernhardt, Matthias Kirschner
Schizophrenia is a prototypical network disorder with widespread brain-morphological alterations, yet it remains unclear whether these distributed alterations robustly reflect the underlying network layout. We tested whether large-scale structural alterations in schizophrenia relate to normative structural and functional connectome architecture, and systematically evaluated robustness and generalizability of these network-level alterations. Leveraging anatomical MRI scans from 2439 adults with schizophrenia and 2867 healthy controls from 26 ENIGMA sites and normative data from the Human Connectome Project (n = 207), we evaluated structural alterations of schizophrenia against two network susceptibility models: (i) hub vulnerability, which examines associations between regional network centrality and magnitude of disease-related alterations; (ii) epicenter mapping, which identifies regions whose typical connectivity profile most closely resembles the disease-related morphological alterations...
February 9, 2024: Molecular Psychiatry
#26
JOURNAL ARTICLE
Qiuyang Feng, Zhiting Ren, Dongtao Wei, Cheng Liu, Xueyang Wang, Xianrui Li, Bijie Tie, Shuang Tang, Jiang Qiu
Internet addiction symptomatology(IAS) is characterized by persistent and involuntary patterns of compulsive Internet use, leading to significant impairments in both physical and mental well-being. Here, a connectome-based predictive modeling (CPM) approach was applied to decode IAS from whole-brain resting-state functional connectivity (rsFC) in healthy population. The findings showed that IAS could be predicted by the functional connectivity between prefrontal cortex with the cerebellum and limbic lobe, connections of the occipital lobe with the limbic lobe and insula lobe...
February 9, 2024: Social Cognitive and Affective Neuroscience
#27
Brendan D Adkinson, Matthew Rosenblatt, Javid Dadashkarimi, Link Tejavibulya, Rongtao Jiang, Stephanie Noble, Dustin Scheinost
Recent work suggests that machine learning models predicting psychiatric treatment outcomes based on clinical data may fail when applied to unharmonized samples. Neuroimaging predictive models offer the opportunity to incorporate neurobiological information, which may be more robust to dataset shifts. Yet, among the minority of neuroimaging studies that undertake any form of external validation, there is a notable lack of attention to generalization across dataset-specific idiosyncrasies. Research settings, by design, remove the between-site variations that real-world and, eventually, clinical applications demand...
January 24, 2024: bioRxiv
#28
JOURNAL ARTICLE
Ekta Patel, Priya Ramaiah, James C Mamaril-Davis, Isabel L Bauer, Dalia Koujah, Travis Seideman, James Kelbert, Kristin Nosova, Robert W Bina
BACKGROUND: Treatment-resistant depression (TRD) occurs more commonly in women. Deep brain stimulation (DBS) is an emerging treatment for TRD, and its efficacy continues to be explored. However, differences in treatment outcomes between males and females have yet to be explored in formal analysis. METHODS: A PRISMA-compliant systematic review of DBS for TRD studies was conducted. Patient-level data were independently extracted by two authors. Treatment response was defined as a 50 % or greater reduction in depression score...
January 29, 2024: Journal of Affective Disorders
#29
JOURNAL ARTICLE
Hossein Sanjari Moghaddam, Mohammadamin Parsaei, Fateme Taghavizanjani, Giulia Cattarinussi, Mohammad Hadi Aarabi, Fabio Sambataro
BACKGROUND: The early years after the onset of psychotic disorders, known as "early psychosis (EP)" are critical to determining the path of psychosis trajectory. We used a Diffusion Magnetic Resonance Imaging (DMRI) connectometry approach to assess the microstructural changes of white matter (WM) associated with EP. METHODS: We used the Human Connectome Project in Early Psychosis (HCP-EP) dataset to collect DMRI data from patients with EP. The imaging data were processed in the Montreal Neuroimaging Initiative space and transformed into quantitative anisotropy (QA)...
January 28, 2024: Journal of Affective Disorders
#30
REVIEW
Calvin W Howard, Michael H Ferguson, Shan H Siddiqi, Michael D Fox
The Vietnam Head Injury Study has been curated by Dr Jordan Grafman since the 1980s in an effort to study patients with penetrating traumatic brain injuries suffered during the Vietnam War. Unlike many datasets of ischemic stroke lesions, the VHIS collected extraordinarily deep phenotyping and was able to sample lesion locations that are not constrained to typical vascular territories. For decades, this dataset has helped researchers draw causal links between neuroanatomical regions and neuropsychiatric symptoms...
December 30, 2023: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
#31
JOURNAL ARTICLE
Jinfeng Han, Kaixiang Zhuang, Debo Dong, Yingkai Yang, Yong Liu, Qinghua He, Tingyong Feng, Xu Lei, Jiang Qiu, Hong Chen
OBJECTIVE: Overweight and obesity, as commonly indicated by a higher BMI, are associated with functional alterations in the brain, which may potentially result in cognitive decline and emotional illness. However, the manner in which these detrimental impacts manifest in the brain's dynamic characteristics remains largely unknown. METHODS: Based on two independent resting-state functional magnetic resonance imaging data sets (Behavioral-Brain Research Project of Chinese Personality, n = 1923; Human Connectome Project, n = 998), the current study employed a Hidden Markov model to identify the spatiotemporal features of brain activity states...
February 2024: Obesity
#32
JOURNAL ARTICLE
Nanfang Pan, Song Wang, Huan Lan, Xun Zhang, Kun Qin, Graham J Kemp, Xueling Suo, Qiyong Gong
Severe mental health problems with the representation of negative affect symptoms (NAS) have been increasingly reported during the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to explore the multivariate patterns of brain functional connectome predicting COVID-19-related NAS. This cohort study encompassed a group of university students to undergo neuroimaging scans before the pandemic, and we re-contacted participants for 1-year follow-up COVID-related NAS evaluations during the pandemic. Regularized canonical correlation analysis was used to identify connectome-based dimensions of NAS to compute pairs of canonical variates...
January 22, 2024: Translational Psychiatry
#33
JOURNAL ARTICLE
Yingru Wang, Yinian Yang, Wenqiang Xu, Xiaoqing Yao, Xiaohui Xie, Long Zhang, Jinmei Sun, Lu Wang, Qiang Hua, Kongliang He, Yanghua Tian, Kai Wang, Gong-Jun Ji
BACKGROUND AND HYPOTHESIS: There is a huge heterogeneity of magnetic resonance imaging findings in schizophrenia studies. Here, we hypothesized that brain regions identified by structural and functional imaging studies of schizophrenia could be reconciled in a common network. STUDY DESIGN: We systematically reviewed the case-control studies that estimated the brain morphology or resting-state local function for schizophrenia patients in the literature. Using the healthy human connectome (n = 652) and a validated technique "coordinate network mapping" to identify a common brain network affected in schizophrenia...
January 22, 2024: Schizophrenia Bulletin
#34
JOURNAL ARTICLE
Nicola Acevedo, David Castle, Susan Rossell
INTRODUCTION: Obsessive compulsive disorder (OCD) represents a complex and often difficult to treat disorder. Pharmacological and psychotherapeutic interventions are often associated with sub-optimal outcomes, and 40-60% of patients are resistant to first line therapies and thus left with few treatment options. OCD is underpinned by aberrant neurocircuitry within cortical, striatal, and thalamic brain networks. Considering the neurocircuitry impairments that underlie OCD symptomology, neurostimulation therapies provide an opportunity to modulate psychopathology in a personalized manner...
February 2024: Expert Review of Neurotherapeutics
#35
JOURNAL ARTICLE
Huichun Luo, Xiaojun Huang, Ziyi Li, Wotu Tian, Kan Fang, Taotao Liu, Shige Wang, Beisha Tang, Ji Hu, Ti-Fei Yuan, Li Cao
Paroxysmal kinesigenic dyskinesia (PKD) is associated with a disturbance of neural circuit and network activities, while its neurophysiological characteristics have not been fully elucidated. This study utilized the high-density electroencephalogram (hd-EEG) signals to detect abnormal brain activity of PKD and provide a neural biomarker for its clinical diagnosis and PKD progression monitoring. The resting hd-EEGs are recorded from two independent datasets and then source-localized for measuring the oscillatory activities and function connectivity (FC) patterns of cortical and subcortical regions...
March 2024: Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
#36
JOURNAL ARTICLE
Jia Lin, Yang Xiao, Chi Yao, Li Sun, Peng Wang, Yanxin Deng, Jiayong Pu, Shao-Wei Xue
Major depressive disorder (MDD) is a highly prevalent psychiatric disorder with remarkable inter-subject variability in clinical manifestations. Neuroimaging changes of the cerebellum have been recently proposed as a way to characterize MDD-related brain disruptions and might further explain various clinical symptoms. However, the cerebellar contributions to MDD clinical heterogeneity remain largely unknown. The analyzed data consisted of 251 MDD patients and 235 matching healthy controls (HC). The inter-subject variability of functional connectomes (IVFC) was estimated via Pearson's correlation analysis between each pair of the cerebellar and cerebral regions based on resting-state functional magnetic resonance imaging (rs-fMRI)...
January 10, 2024: Journal of Psychiatric Research
#37
JOURNAL ARTICLE
Jinjing Wang, Hanhong Zhang, Yirong Fang, Yiran Dong, Xian Chao, Lulu Xiao, Shiyi Jiang, Dawei Yin, Peng Wang, Wen Sun, Xinfeng Liu
This study aimed to explore the topographic features of thalamic subregions, functional connectomes and hierarchical organizations between thalamus and cortex in poststroke fatigue patients. We consecutively recruited 121 acute ischemic stroke patients (mean age: 59 years) and 46 healthy controls matched for age, sex, and educational level. The mean age was 59 years (range 19-80) and 38% of acute stroke patients were females. Resting-state functional and structural magnetic resonance imaging were conducted on all participants...
January 11, 2024: Cerebral Cortex
#38
JOURNAL ARTICLE
Jose M Rubio, Todd Lencz, Hengyi Cao, Nina Kraguljac, Elvisha Dhamala, Philipp Homan, Guillermo Horga, Deepak K Sarpal, Miklos Argyelan, Juan Gallego, John Cholewa, Anita Barber, John M Kane, Anil K Malhotra
To bring biomarkers closer to clinical application, they should be generalizable, reliable, and maintain performance within the constraints of routine clinical conditions. The functional striatal abnormalities (FSA), is among the most advanced neuroimaging biomarkers in schizophrenia, trained to discriminate diagnosis, with post-hoc analyses indicating prognostic properties. Here, we attempt to replicate its diagnostic capabilities measured by the area under the curve (AUC) in receiver operator characteristic curves discriminating individuals with psychosis (n = 101) from healthy controls (n = 51) in the Human Connectome Project for Early Psychosis...
January 4, 2024: Molecular Psychiatry
#39
JOURNAL ARTICLE
Nicholas Riccardi, Xingpei Zhao, Dirk-Bart den Ouden, Julius Fridriksson, Rutvik H Desai, Yuan Wang
INTRODUCTION: Aphasia is a speech-language impairment commonly caused by damage to the left hemisphere. The neural mechanisms that underpin different types of aphasia and their symptoms are still not fully understood. This study aims to identify differences in resting-state functional connectivity between anomic and Broca's aphasia measured through resting-state functional magnetic resonance imaging (rs-fMRI). METHODS: We used the network-based statistic (NBS) method, as well as voxel- and connectome-based lesion symptom mapping (V-, CLSM), to identify distinct neural correlates of the anomic and Broca's groups...
December 30, 2023: Brain Structure & Function
#40
JOURNAL ARTICLE
Jixin Long, Xiaoqi Song, Chanyu Wang, Lanxin Peng, Lijing Niu, Qian Li, Ruiwang Huang, Ruibin Zhang
BACKGROUND: Numerous studies have explored the neural correlates of trait anxiety, a predisposing factor for several stress-related disorders. However, the findings from previous studies are inconsistent, which might be due to the limited regions of interest (ROI). A recent approach, named global-brain functional connectivity (GBC), has been demonstrated to address the shortcomings of ROI-based analysis. Furthermore, research on the transcriptome-connectome association has provided an approach to link the microlevel transcriptome profile with the macroscale brain network...
December 28, 2023: Journal of Affective Disorders
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