Psychoradiology最新文献

Ex vivo magnetic resonance imaging (MRI) has revolutionized psychoradiological research by enabling detailed structural and pathological assessments of the brain in conditions ranging from psychiatric disorders to neurodegenerative diseases. By providing high-resolution images of postmortem brain tissue, ex vivo MRI overcomes several limitations inherent in in vivo imaging, offering unparalleled insights into the underlying pathophysiology of mental disorders. This review critically summarizes the state-of-the-art ex vivo MRI methodologies for neuroanatomical mapping and pathological characterization in psychoradiology, while also establishing standardized specimen processing protocols. Furthermore, we explore the prospects of application in ex vivo MRI in schizophrenia, major depressive disorder and bipolar disorder, highlighting its role in understanding neuroanatomical alterations, disease progression, and the validation of in vivo neuroimaging biomarkers.

Functional magnetic resonance imaging (fMRI) provides a powerful tool for studying brain function by capturing neural activity in a non-invasive manner. Mapping brain function from fMRI data enables researchers to investigate the spatial and temporal dynamics of neural processes, providing insights into how the brain responds to various tasks and stimuli. In this review, we explore the evolution of deep learning-based methods for brain function mapping using fMRI. We begin by discussing various network architectures such as convolutional neural networks, recurrent neural networks, and transformers. We further examine supervised, unsupervised, and self-supervised learning paradigms for fMRI-based brain function mapping, highlighting the strengths and limitations of each approach. Additionally, we discuss emerging trends such as fMRI embedding, brain foundation models, and brain-inspired artificial intelligence, emphasizing their potential to revolutionize brain function mapping. Finally, we delve into the real-world applications and prospective impact of these advancements, particularly in the diagnosis of neural disorders, neuroscientific research, and brain-computer interfaces for decoding brain activity. This review aims to provide a comprehensive overview of current techniques and future directions in the field of deep learning and fMRI-based brain function mapping.

Background: Emotion control represents a promising intervention target for mental disorders. In a recent study Bramson et al. (2023) demonstrate a functional-anatomical shift from the lateral frontal pole (FPl) to the dorsolateral prefrontal cortex (DLPFC) in anxious individuals during emotional action control. However, findings of neuroimaging experiments are often limited regarding generalizability and reproducibility. The present study examined the robustness of the reported functional shift across samples, cultures and paradigms.

Methods: We capitalized on large-scale task fMRI data (n = 250 participants) using an affective linguistic Go/NoGo paradigm to examine the anxiety-related shift between FPl and DLPFC during emotional action control. Additionally, context-dependent functional connectivity analyses were employed to examine anxiety-related differences and associations on the network level.

Results: Non-anxious individuals engaged the left FPl while highly anxious individuals specifically recruited the DLPFC, but non-significant between-group differences were found (see also Bramson et al.). The secondary analyses revealed moderate evidence for the absence of left FPl activation in the high-anxious as well as for left DLPFC activation in the non-anxious group. Additionally, trait anxiety scores were positively correlated with left DLPFC activity but negatively correlated with left FPl activity across groups. Furthermore, we found a context-specific connectivity shift between the subgenual anterior cingulate cortex (sgACC) with the FPl and DLPFC specifically in highly anxious individuals.

Conclusion: The results partially confirmed the anxiety-related shift as reported by Bramson and colleagues across paradigms and samples. The findings provide further support for the functional shift in anxiety and can inform target-based interventions of persistent emotional control deficits in anxiety disorders.

Background: Major depressive disorder (MDD) is a prevalent psychiatric disorder with disruptions in brain white matter (WM). While much research has focused on WM structure, the dysfunctional organization of WM in MDD remains poorly understood.

Methods: Using resting-state functional magnetic resonance imaging data from 48 MDD patients and 68 healthy controls (HC), we characterized the WM functional connectome gradients across participants and identified both global and regional alterations in MDD. Furthermore, we examined the relationship between gradient properties and depressive symptom severity. External validation and sensitivity analyses were finally conducted to ensure the reliability of results.

Results: The principal WM connectome gradient extended from the forceps major and superior longitudinal fasciculus to the uncinate fasciculus (UF) and anterior thalamic radiation (ATR), exhibiting a superficial-to-deep pattern in both groups. Compared to HC, MDD patients displayed a narrower gradient range and lower spatial variation, indicating a contracted WM hierarchy. At the tract-specific level, MDD patients exhibited lower gradient scores in the forceps minor, left ATR and UF, and bilateral cingulate gyrus and cingulum hippocampus, but higher gradient scores in the forceps major, bilateral inferior longitudinal fasciculus and superior longitudinal fasciculus. WM tract gradient patterns explained 37.2% of the variance in clinical severity, with the strongest contributions from the inferior fronto-occipital fasciculus, cingulum hippocampus, ATR, UF, and corticospinal tract.

Conclusions: These findings highlight altered WM functional connectome gradient in MDD and their association with clinical severity, offering novel insights into the neurobiological mechanisms of the disorder and potential biomarkers for symptom evaluation.

Background: Emotional symptomatology is a hallmark of depression. Antidepressant often fail to effectively target emotional blunting, while acupuncture, by contrast, has emerged as a promising alternative. However, the exact electrophysiologic mechanisms remain unclear. This study aimed to investigate how acupuncture influences emotional reactivity in youth with self-reported depressive symptoms.

Methods: A modified oddball paradigm incorporating a negative emotional valence deviant, combined with event-related potential analysis, was used to measure emotional reactivity before and after intervention. Seventy individuals exhibiting depressive symptoms in the previous 2 weeks, were randomly assigned to either a verum or sham acupuncture group. Electroencephalogram data from 59 participants were analyzed following preprocessing and quality assessment. Occipital P1, N170, frontal N1, N2, and parietal P3 components were extracted. The Positive and Negative Affect Schedule (PANAS) was completed after each oddball session. The Massachusetts General Hospital Acupuncture Sensation Scale (MASS) was completed after each intervention session.

Results: The MASS Index was significantly higher in the verum group. However, significant increases in occipital P1, N170, frontal N1, N2, and parietal P3 amplitudes for high-negative, mild-negative, and neutral pictures were observed after the intervention in both the verum and sham groups, with no significant difference between the groups. Additionally, both groups induced PANAS changes, and positive effect changes were significantly correlated with N170 and P1 (in response to high-negative pictures) changes in the sham group.

Conclusion: Acupuncture altered emotional reactivity in youth with depressive symptoms, highlighting its potential role, albeit possibly non-specific, in depression prevention and treatment.

Introduction: Lithium treatment is considered the first-line option in the pharmacological treatment of bipolar disorder. At the same time, individual responses vary greatly, which complicates achieving rapid stabilization in many subjects with bipolar disorder. The neurobiological mechanism of action of lithium remains largely unknown, hindering the development of clinically applicable predictors of individual treatment responses. The recent introduction of ultra-high-field lithium magnetic resonance imaging (MRI) has opened up a promising avenue for better linking brain measures with clinical response to lithium treatment.

Methods and analysis: This is an observational study involving 80 adults with bipolar disorder who begin lithium as part of their regular treatment. Within 4 weeks of reaching stable therapeutic serum lithium concentrations, brain lithium concentrations will be measured by employing a 3D lithium-7 chemical shift imaging (⁷Li CSI) sequence on a 7T MR system. The primary outcome is the clinical response to lithium treatment at 1 year follow-up, assessed using a validated questionnaire. Linear regression analysis will be used to establish correlations between brain lithium concentrations-measured through mean brain, voxel-wise, parcellation, and region-of-interest approaches-and clinical lithium response.

Ethics and dissemination: The BLISS study protocol (NL80214.058.22) has been approved by the Medical Ethics Committee of Leiden, The Hague, and Delft in The Netherlands. Results will be submitted for publication in peer-reviewed journals and shared with the key population.Registration Online at clinicaltrials.gov (NCT06134349), 20 November 2023.

From 20 to 22 July 2024, the International Society for Magnetic Resonance in Medicine (ISMRM)-endorsed workshop on Magnetic Resonance (MR) for Psychiatry was held in Chengdu City, China. This prestigious event attracted numerous academic elites worldwide. Vincent Dousset is a professor of medicine and radiology at the University of Bordeaux, France, and the chairman of Medical Imaging at the University Hospital of Bordeaux. The hospital is running a completely new project dedicated to applying MRI technology in the field of psychiatry, and Professor Dousset will manage the project. However, this is an entirely new domain for the radiologists and technicians in the hospital. Therefore, Professor Dousset attended the ISMRM-endorsed Workshop on MR for Psychiatry in Chengdu to gain insight into the latest advancements in psychoradiology and hoped to apply valuable experience to their project. Following the conference, the Psychoradiology journal interviewed Professor Dousset. In the interview, Professor Dousset was enthusiastic about merging radiology and psychiatry teams and regarded the term "psychoradiology" as a bridge to unite these fields. Despite the challenges of distinguishing normal from abnormal brains in psychiatric disorders, he was optimistic about the future of psychoradiology and its clinical applications. He recognized the significance and prospects of the term "psychoradiology", and offered valuable suggestions for the development of the Psychoradiology journal.