Most recent paper

Psychiatry Res Neuroimaging. 2025 Jan 27;348:111957. doi: 10.1016/j.pscychresns.2025.111957. Online ahead of print.

ABSTRACT

Previous functional magnetic resonance imaging (fMRI) studies showed an abnormal brainstem-to-cortex functional connectivity (FC) in major depressive disorder. However, only few studies analyzed brainstem substructures in treatment-resistant depression (TRD). In this study, we analyzed resting-state seed-based FC between midbrain, pons, medulla oblongata and cortical/subcortical brain regions in patients with TRD (n = 24) and age- and sex-matched healthy controls (n = 24). FC was analyzed in each group and compared between groups. Correlation analyses assessed the relationship between FC strength and depressive symptom severity in regions showing significant group differences in seed-based connectivity. Our findings reveal an increased FC in the midbrain and pons to the precentral gyrus, postcentral gyrus, and temporal gyrus in patients with TRD compared to healthy controls. Interestingly, in TRD patients, FC between midbrain and cortex was negatively correlated with BDI-II scores, indicating a relationship between altered connectivity and self-reported depression severity. It is essential to note that our naturalistic, cross-sectional approach precludes causal conclusions regarding the relationship between FC and pathophysiology of TRD. The small sample size necessitates confirmation in a larger cohort. Midbrain/pons-to-cortex FC was increased in patients with TRD compared to healthy controls. Future studies should explore the relationship between abnormal brainstem-to-cortex FC and depressive symptomatology in more detail.

PMID:39908872 | DOI:10.1016/j.pscychresns.2025.111957

Psychiatry Res. 2025 Jan 26;345:116376. doi: 10.1016/j.psychres.2025.116376. Online ahead of print.

ABSTRACT

Schizophrenia and attention deficit hyperactivity disorder (ADHD) have many contradicting features, but both these disorders share inattention as a core symptom. This study explored how the characteristics of inattention differ between the two disorders. 20 patients with schizophrenia, 20 patients with adult ADHD and 20 healthy controls participated in this study. Comprehensive attention test, Korean Wechsler adult intelligence scale-IV and resting-state functional magnetic resonance imaging (fMRI) were collected, among other things. The schizophrenia and ADHD groups showed low and high levels of functional connectivity in the default mode network (DMN), respectively. Functional connectivity level within the DMN was also positively correlated with processing speed index in the schizophrenia group and positively correlated with the number of divided-attention commission errors in the ADHD group. These results show that schizophrenia and adult ADHD have similarities in the characteristics of attention deficit, in that both may arise from dysregulation within the DMN. However, the differences in the levels of functional connectivity in the DMN between these groups affect how inattention manifests in each group.

PMID:39908657 | DOI:10.1016/j.psychres.2025.116376

Int J MS Care. 2025 Feb 3;27(Q1):34-41. doi: 10.7224/1537-2073.2024-003. eCollection 2025 Jan.

ABSTRACT

BACKGROUND: We sought to examine a potential neural mechanism of reduced depressive symptoms in response to aerobic treadmill walking exercise training in people with multiple sclerosis (MS). This includes a secondary analysis of depressive symptom and MRI data from an original randomized controlled trial (RCT) on exercise effects on learning and memory impairment in people with MS.

METHODS: Ten fully ambulatory people with MS were randomly assigned into either a 12-week aerobic treadmill walking condition or active control condition (ie, stretching and range-of-motion activities). All participants completed the Hospital Anxiety and Depression Scale for measurement of depressive symptoms as well as a resting-state functional MRI (fMRI) before and after the 12-week study period.

RESULTS: There were no between-condition differences in depressive symptoms at baseline. Participants who were randomly assigned to the intervention condition demonstrated reductions in depressive symptoms compared with minimal changes for those who underwent the control condition. This corresponded with significant changes in resting-state functional connectivity within the default-mode network (DMN).

CONCLUSIONS: The overall pattern of results suggests that resting-state functional connectivity within the DMN may represent a potential neural mechanism underlying the beneficial effects of exercise on depressive symptoms in people with MS. Such results warrant future consideration in the design and conduct of future RCTs that aim to treat MS-related depression with aerobic exercise training in people with MS who have been prescreened for clinical depression.

PMID:39906605 | PMC:PMC11791503 | DOI:10.7224/1537-2073.2024-003

Neuropsychiatr Dis Treat. 2025 Jan 31;21:193-212. doi: 10.2147/NDT.S488059. eCollection 2025.

ABSTRACT

Tactile perception is one of the important ways through which humans interact with the external environment. Similar to the neural processing in visual and auditory systems, the neural processing of tactile information is a complex procedure that transforms this information into sensory signals. Neuroimaging techniques, such as functional Magnetic Resonance Imaging (fMRI), provide compelling evidence indicating that different types of tactile signals undergo independent or collective processing within multiple brain regions. This review focuses on fMRI studies employing both task-based (block design or event-related design) and resting-state paradigms. These studies use general linear models (GLM) to identify brain regions activated during touch processing, or employ functional connectivity(FC) analysis to examine interactions between brain regions, thereby exploring the neural mechanisms underlying the central nervous system's processing of various aspects of tactile sensation, including discriminative touch and affective touch. The discussion extends to exploring changes in tactile processing patterns observed in certain disease states. Recognizing the analogy between pain and touch processing patterns, we conclude by summarizing the interaction between touch and pain. Currently, fMRI-based studies have made significant progress in the field of tactile neural processing. These studies not only deepen our understanding of tactile perception but also provide new perspectives for future neuroscience studies.

PMID:39906284 | PMC:PMC11792622 | DOI:10.2147/NDT.S488059

Psychol Med. 2025 Feb 5;55:e21. doi: 10.1017/S0033291724003489.

ABSTRACT

BACKGROUND: The emotion regulation network (ERN) in the brain provides a framework for understanding the neuropathology of affective disorders. Although previous neuroimaging studies have investigated the neurobiological correlates of the ERN in major depressive disorder (MDD), whether patients with MDD exhibit abnormal functional connectivity (FC) patterns in the ERN and whether the abnormal FC in the ERN can serve as a therapeutic response signature remain unclear.

METHODS: A large functional magnetic resonance imaging dataset comprising 709 patients with MDD and 725 healthy controls (HCs) recruited across five sites was analyzed. Using a seed-based FC approach, we first investigated the group differences in whole-brain resting-state FC of the 14 ERN seeds between participants with and without MDD. Furthermore, an independent sample (45 MDD patients) was used to evaluate the relationship between the aforementioned abnormal FC in the ERN and symptom improvement after 8 weeks of antidepressant monotherapy.

RESULTS: Compared to the HCs, patients with MDD exhibited aberrant FC between 7 ERN seeds and several cortical and subcortical areas, including the bilateral middle temporal gyrus, bilateral occipital gyrus, right thalamus, calcarine cortex, middle frontal gyrus, and the bilateral superior temporal gyrus. In an independent sample, these aberrant FCs in the ERN were negatively correlated with the reduction rate of the HAMD17 score among MDD patients.

CONCLUSIONS: These results might extend our understanding of the neurobiological underpinnings underlying unadaptable or inflexible emotional processing in MDD patients and help to elucidate the mechanisms of therapeutic response.

PMID:39905829 | DOI:10.1017/S0033291724003489

Neuroimage Clin. 2025 Jan 28;45:103745. doi: 10.1016/j.nicl.2025.103745. Online ahead of print.

ABSTRACT

OBJECTIVE: Women with anorexia nervosa (AN) have been shown to demonstrate differences in functional connectivity in brain regions associated with cognitive control, somatosensory processing, and emotion regulation. However, previous studies have been conducted on small samples and have inconsistent findings. Therefore, this study aimed to identify aberrant brain networks related to the core clinical symptoms of AN and to explore the longitudinal association with clinical outcome in a large population of adolescents experiencing their first episode of AN.

METHODS: Functional MRI (fMRI) of brain resting-state functional connectivity (RS-FC) of female adolescents with first-onset AN (n = 56) were compared to age- and education-matched typically developing (TD) adolescents (n = 64). To account for the severity of underweight, separate analyses were performed to investigate differences in RS-FC between underweight AN participants and TD adolescents, as well as between underweight (n = 30) and weight-restored AN (n = 26) participants. Clinical outcomes, i.e. body mass index and eating disorder (ED) symptoms, were assessed at baseline and one-year follow-up. Independent component analyses (ICA) were used to extract the brain networks of interest: the default mode (DMN), left and right frontoparietal (FPN), and the insular (IN) networks. Linear regression analyses were conducted to assess differences in RS-FC between AN and TD participants, as well as to assess whether RS-FC was associated with clinical symptoms at baseline and at one-year of follow-up. Two statistical models were used: model 1 adjusted for age and socioeconomic status (SES), and model 2 additionally adjusted for baseline anxiety and depressive symptoms.

RESULTS: Underweight AN participants had lower RS-FC between the DMN-IN, as well as between the FPN-IN compared to the TD adolescents. After correction for multiple testing, no significant differences in RS-FC were found between underweight AN participants and weight-restored AN participants, as well as between the whole AN group and the TD group. RS-FC was not associated with the severity of clinical symptoms at baseline nor at one-year of follow-up.

CONCLUSION: AN is associated with changes in RS-FC between the FPN-IN and DMN-IN during the underweight state. These changes in RS-FC were no longer observed in weight-restored AN participants, emphasizing the impact of underweight on RS-FC in AN. Changes in these brain networks may partly explain the impaired cognitive control and difficulties with emotion and behavioral regulation in individuals with AN during the underweight state.

PMID:39904205 | DOI:10.1016/j.nicl.2025.103745

Front Aging Neurosci. 2025 Jan 20;16:1518155. doi: 10.3389/fnagi.2024.1518155. eCollection 2024.

ABSTRACT

BACKGROUND: Iron deposition has been observed in Parkinsonism and is emerging as a diagnostic marker for movement disorders. Brain functional network disruption has also been detected in parkinsonism, and is believed to be accountable for specific symptoms in parkinsonism. However, how iron deposition influences brain network remains to be elucidated.

METHODS: We recruited 16 Parkinson's disease (PD), 8 multiple system atrophy (MSA) and 7 progressive supranuclear palsy (PSP) patients. T1-weighted, susceptibility weighted images and resting-state functional MRI (rs-fMRI) were acquired. Quantitative susceptibility mapping (QSM) analysis was performed to quantify iron deposition in substantia nigra, putamen and dentate nucleus. Cerebellar network, sensorimotor network, default mode network and language networks were segregated using independent analysis. Network and iron deposition status were evaluated in relation to diagnostic groups, motor and non-motor symptoms. The relationship between quantitative iron deposition and brain network status was further interrogated. To further validate the findings, 13 healthy controls and 37 PD patients who had available T1 and rs-fMRI scans were selected from Parkinson's progression markers initiative (PPMI) database, and network analysis was performed.

RESULTS: In local cohort, compared to PD, MSA patients showed greater iron deposition in putamen, while PSP patients had greater iron deposition in caudate nucleus and thalamus. Cerebellar and language networks showed significant difference across diagnostic groups, while default mode network and sensorimotor network did not. MSA patients had significantly impaired cerebellar network and language networks compared to PD patients. Cerebellar network was positively associated with motor symptom scores while language network was positively associated with MoCA scores in the patients. Iron deposition was negatively associated with both networks' activity in the patients. In PPMI cohort, impairment was found in both cerebellar and language networks in PD. Cerebellar and language networks correlated with motor and cognitive impairment, respectively.

CONCLUSION: Cerebellar network and language networks are differently influenced in MSA, PD and PSP, which can serve as potential diagnostic marker. Impairment of cerebellar network and language network are associated with motor symptoms and cognitive impairment, respectively. Moreover, dysfunction of the networks is associated with iron deposition in deep nuclei (SN, DN, Putamen).

PMID:39902281 | PMC:PMC11788357 | DOI:10.3389/fnagi.2024.1518155

Front Psychiatry. 2025 Jan 20;15:1438085. doi: 10.3389/fpsyt.2024.1438085. eCollection 2024.

ABSTRACT

BACKGROUND: Depressive disorders are highly prevalent among people with HIV (PWH) and are related to aberrant inflammation and immune responses. However, there is currently a lack of investigation into the neurological, inflammatory, endocrine, and immune aspects of HIV-associated depressive disorders (HADD).

METHODS: The study involved 33 HIV-positive men who have sex with men with depressive disorders (HADD group) and 47 without neuropsychiatric disorders (HIV control group). Participants underwent resting-state functional magnetic resonance imaging (rs-fMRI) scans and assessments of peripheral blood. Peripheral blood cytokines, plasma concentrations of hormone and neurotrophic factors, and immune cell levels were determined using liquid chip, enzyme-linked immunosorbent assay, and flow cytometry, respectively. The correlation of imaging alterations with clinical variables and peripheral blood indicators was assessed.

RESULTS: Compared to the HIV control group, the HADD group exhibited a higher fractional amplitude of low-frequency fluctuations in the left superior parietal gyrus, lower regional homogeneity in the left precentral gyrus, and reduced voxel-wise functional connectivity for the seed region in the right precentral gyrus with clusters in the right cuneus, etc. Furthermore, the HADD group had higher levels of interferon-gamma, a higher frequency of non-classical monocytes, and higher expression levels of perforin and CD38 on specific cells. These imaging results were significantly correlated with peripheral blood indicators and clinical variables.

CONCLUSION: This rs-fMRI study provides considerable evidence for abnormal intrinsic brain activity in people with HADD. Furthermore, our data also indicate the detrimental effects of depression-related inflammation on PWH. Therefore, it is imperative to increase attention to HADD and implement effective preventive interventions accordingly.

PMID:39902245 | PMC:PMC11788281 | DOI:10.3389/fpsyt.2024.1438085

Oral Dis. 2025 Feb 4. doi: 10.1111/odi.15271. Online ahead of print.

ABSTRACT

OBJECTIVES: To explore neural similarities and differences between visceral and somatic pain by comparing spontaneous brain activity in patients with chronic temporomandibular disorder (TMD) and irritable bowel syndrome (IBS).

METHODS: Twenty eight IBS patients, 21 TMD patients, and 28 healthy controls (HC) underwent resting-state fMRI and behavioral assessments. The correlations between fMRI metrics such as the amplitude of low-frequency fluctuations (ALFF), regional homogeneity (ReHo), functional connectivity (FC), and clinical manifestations were further analyzed.

RESULTS: Compared with HC, both patient groups demonstrated increased ALFF in right parahippocampal gyrus (PHG), insula, medial superior frontal gyrus (SFGmed), precentral gyrus (PreCG), and increased ReHo in right SFGmed and left supplementary motor area (SMA). Compared with IBS patients, TMD patients exhibited reduced ALFF in right SFGmed and insula, increased ALFF in right PHG and PreCG, decreased ReHo in right SFGmed and left lingual gyrus, and increased ReHo in left SMA. Both patient groups exhibited enhanced right PHG-related FC in left precuneus and right cingulate gyrus, and right insula-related FC in left superior temporal gyrus and right paracentral lobule. Specifically, IBS patients showed higher FC between right PHG and orbitofrontal cortex than TMD patients, which was negatively correlated with mood and gastrointestinal symptoms. Mediation analysis revealed that pain in TMD and gastrointestinal symptoms in IBS mediated these relationships.

CONCLUSION: Visceral and somatic pain share abnormal activity in multiple brain networks. Abnormalities in affective region present potential neuroimaging markers for pain disorders, with depression in somatic pain linked to pain intensity and in visceral pain to gastrointestinal symptoms.

PMID:39901770 | DOI:10.1111/odi.15271

Neurogastroenterol Motil. 2025 Feb 3:e15017. doi: 10.1111/nmo.15017. Online ahead of print.

ABSTRACT

BACKGROUND: Functional anorectal pain (FAP) is classified as one of the disorders of gut-brain interaction (DGBI). It involves the impairments of anorectal afferents and disrupted gut-brain communication. However, neuroimaging studies focused on FAP are lacking.

METHODS: A total of 25 FAP patients and 18 healthy controls (HC) underwent structural magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), resting-state functional MRI (rs-fMRI) scans, and collection of demographic data, mental health assessment scales and pain assessment questionnaires. Voxel-based morphometry (VBM), tract-based spatial statistics (TBSS), regional homogeneity (ReHo), and amplitude of low-frequency fluctuations (ALFF) were utilized to analyze the imaging data. Correlation analyses were conducted to explore the relationships between the neuroimaging findings and clinical symptoms.

KEY RESULTS: Functional anorectal pain (FAP) patients exhibited higher levels of anxiety, depression scores and lower sleep quality compared to HC. VBM analysis revealed increased gray matter volume (GMV) in the bilateral fusiform, right parahippocampal, bilateral inferior temporal gyrus (ITG), and decreased GMV in the right superior frontal gyrus (SFG), left middle frontal gyrus (MFG), bilateral inferior frontal gyrus (IFG), left Calcarine, bilateral middle occipital gyrus (MOG), left middle temporal gyrus (MTG) in FAP patients. TBSS analysis showed decreased fractional anisotropy (FA) in the superior longitudinal fasciculus (SLF), anterior thalamic radiation (ATR), and forceps minor in the FAP patients. Additionally, increased ALFF in the right cerebellum and increased ReHo in the right MFG were observed in the FAP patients.

CONCLUSIONS AND INFERENCES: These findings showed a worse psychological condition and suggested neuroanatomical and neurofunctional alterations associated with pain processing, emotion regulation, and cognitive control in FAP patients.

PMID:39901693 | DOI:10.1111/nmo.15017

Commun Psychol. 2025 Feb 3;3(1):19. doi: 10.1038/s44271-025-00202-z.

ABSTRACT

Non-invasive indirect hippocampal-targeted stimulation is of broad scientific and clinical interest. Transcranial alternating current stimulation (tACS) is appealing because it allows oscillatory stimulation to study hippocampal theta (3-8 Hz) activity. We found that tACS administered during functional magnetic resonance imaging yielded a frequency-, mental state- and topologically-specific effect of theta stimulation (but not other frequencies) enhancing right (but not left) hippocampal-cortical connectivity during resting blocks but not during task blocks. Control analyses showed that this effect was not due to possible stimulation-induced changes in signal quality or head movement. Our findings are promising for targeted network modulations of deep brain structures for research and clinical intervention.

PMID:39900978 | DOI:10.1038/s44271-025-00202-z

Mol Psychiatry. 2025 Feb 3. doi: 10.1038/s41380-025-02906-4. Online ahead of print.

ABSTRACT

Regulation of interpersonal distance or "personal space" (PS; the space near the body into which others cannot intrude without eliciting discomfort) is a largely unconscious channel of non-verbal social communication used by many species including humans. PS abnormalities have been observed in neuropsychiatric illnesses, including schizophrenia. However, the neurophysiological basis of these abnormalities remains unknown. To investigate this question, in this study, functional magnetic resonance imaging (fMRI) data were collected while individuals with psychotic disorders (PD; n = 37) and demographically-matched healthy control (HC) subjects (n = 60) viewed images of faces moving towards or away from them. Responses of a frontoparietal-subcortical network of brain regions were measured to the approaching versus the withdrawing face stimuli, and resting-state fMRI data were also collected. PS size was measured using the classical Stop Distance Procedure. As expected, the PD group demonstrated a significantly larger PS compared to the HC group (P = 0.002). In both groups, a network of parietal and frontal cortical regions showed greater approach-biased responses, whereas subcortical areas (the striatum, amygdala and hippocampus) showed greater withdrawal-biased responses. Moreover, within the PD (but not the HC) group, approach-biased activation of the inferior parietal cortex (IPC) and functional connectivity between the IPC and the ventral/limbic striatum were significantly correlated with PS size. This study provides evidence that PS abnormalities in psychotic illness involve disrupted function and connectivity of the PS network. Such brain-behavior relationships may serve as objective treatment targets for novel interventions for schizophrenia and related psychotic illnesses.

PMID:39900675 | DOI:10.1038/s41380-025-02906-4

J Comput Biol. 2025 Feb 3. doi: 10.1089/cmb.2024.0505. Online ahead of print.

ABSTRACT

The extraction of biomarkers from functional connectivity (FC) in the brain is of great significance for the diagnosis of mental disorders. In recent years, with the development of deep learning, several methods have been proposed to assist in the diagnosis of depression and promote its automatic identification. However, these methods still have some limitations. The current approaches overlook the importance of subgraphs in brain graphs, resulting in low accuracy. Using these methods with low accuracy for FC analysis may lead to unreliable results. To address these issues, we have designed a graph neural network-based model called AFMDD, specifically for analyzing FC features of depression and depression identification. Through experimental validation, our model has demonstrated excellent performance in depression diagnosis, achieving an accuracy of 73.15%, surpassing many state-of-the-art methods. In our study, we conducted visual analysis of nodes and edges in the FC networks of depression and identified several novel FC features. Those findings may provide valuable clues for the development of biomarkers for the clinical diagnosis of depression.

PMID:39899351 | DOI:10.1089/cmb.2024.0505

Geroscience. 2025 Feb 3. doi: 10.1007/s11357-025-01529-5. Online ahead of print.

ABSTRACT

Ageing individuals often experience cognitive decline and intrinsic functional connectivity (FC) changes. Psychological resilience, a personality trait that reflects the capacity to adapt and cope with age-related challenges, plays a key role in mitigating cognitive decline. In this study involving 101 older adults, we investigated how psychological resilience influences cognitive decline measured by processing speed. Particularly, we obtained resting-state functional magnetic resonance imaging (fMRI) to assess how intrinsic FC, represented by degree centrality, modulates the relationship between resilience and processing speed. Our results indicated while psychological resilience positively predicted processing speed, this relationship was mainly driven by education. Additionally, the degree centrality of both thalamus and caudate negatively correlated with processing speed and resilience. Notably, the degree centrality of both thalamus and caudate significantly mediated the relationship between resilience and processing speed. These findings suggest that psychological resilience could protect against age-related cognitive decline via its influence on FC in the thalamus and caudate, highlighting these areas as potential intervention targets for reducing cognitive decline in ageing people.

PMID:39899190 | DOI:10.1007/s11357-025-01529-5

Addict Behav Rep. 2025 Jan 10;21:100585. doi: 10.1016/j.abrep.2025.100585. eCollection 2025 Jun.

ABSTRACT

Binge Drinking (BD) is characterized by consuming large amounts of alcohol on one occasion, posing risks to brain function. Nonetheless, it remains the most prevalent consumption pattern among students. Cross-sectional studies have explored the relationship between BD and anomalies in resting-state functional connectivity (RS-FC), but the medium/long-term consequences of BD on RS-FC during developmental periods remain relatively unexplored. In this two-year follow-up study, the impact of sustained BD on RS-FC was investigated in 44 college students (16 binge-drinkers) via two fMRI sessions at ages 18-19 and 20-21. Using a seed-to-voxel approach, RS-FC differences were examined in nodes of the main brain functional networks vulnerable to alcohol misuse, according to previous studies. Group differences in RS-FC were observed in four of the explored brain regions. Binge drinkers, compared to the control group, exhibited, at the second assessment, decreased connectivity between the right SFG (executive control network) and right precentral gyrus, the ACC (salience network) and right postcentral gyrus, and the left amygdala (emotional network) and medial frontal gyrus/dorsal ACC. Conversely, binge drinkers showed increased connectivity between the right Nacc (reward network) and four clusters comprising bilateral middle frontal gyrus (MFG), right middle cingulate cortex, and right MFG extending to SFG. Maintaining a BD pattern during critical neurodevelopmental years impacts RS-FC, indicating mid-to-long-term alterations in functional brain organization. This study provides new insights into the neurotoxic effects of adolescent alcohol misuse, emphasizing the need for longitudinal studies addressing the lasting consequences on brain functional connectivity.

PMID:39898113 | PMC:PMC11787028 | DOI:10.1016/j.abrep.2025.100585

IBRO Neurosci Rep. 2025 Jan 13;18:135-141. doi: 10.1016/j.ibneur.2025.01.009. eCollection 2025 Jun.

ABSTRACT

BACKGROUND: Neuroimaging studies have revealed aberrant network functional connectivity in postherpetic neuralgia (PHN) patients. However, there is a lack of knowledge regarding the relationship between the brain network connectivity during the acute period and disease prognosis.

OBJECTIVE: The purpose of this study was to detect characteristic network connectivity in the process of herpes zoster (HZ) pain chronification and to identify whether abnormal network connectivity in the acute period can predict the outcome of patients with HZ.

METHODS: In this cross-sectional study, 31 patients with PHN, 33 with recuperation from herpes zoster (RHZ), and 28 with acute herpes zoster (AHZ) were recruited and underwent resting-state functional magnetic resonance imaging (fMRI). We investigated the differences in the connectivity of four resting-state networks (RSN) among the three groups. Receiver operating characteristic (ROC) curve analysis was performed to identify whether abnormal network connectivity in the acute period could predict the outcome of patients with HZ.

RESULTS: First, we found within-basal ganglia network (BGN) and default mode network (DMN)-BGN connectivity differences, with PHN patients showing increased DMN-BGN connectivity compared to AHZ and RHZ patients, while RHZ patients showing increased within-BGN connectivity compared to AHZ and PHN patients. Moreover, DMN-BGN connectivity was associated with the ID pain score in patients with AHZ. Finally, the DMN-BGN connectivity of AHZ patients could predict the outcome of HZ patients with sensitivity and specificity of 77.8 % and 63.2 %, respectively.

CONCLUSIONS: Our results provide evidence that DMN-BGN connectivity during the acute period confers a risk for the development of chronic pain and can act as a neuroimaging biomarker to predict the outcome of patients with HZ.

PMID:39896717 | PMC:PMC11783054 | DOI:10.1016/j.ibneur.2025.01.009

bioRxiv [Preprint]. 2025 Jan 25:2025.01.24.634784. doi: 10.1101/2025.01.24.634784.

ABSTRACT

Functional Magnetic Resonance Imaging (fMRI) is commonly used to localize brain regions activated during a task. Methods have been developed for constructing confidence regions of image excursion sets, allowing inference on brain regions exceeding non-zero activation thresholds. However, these methods have been limited to a single predefined threshold and brain volume data, overlooking more sensitive cortical surface analyses. We present an approach that constructs simultaneous confidence regions (SCRs) which are valid for all possible activation thresholds and are applicable to both volume and surface data. This approach is based on a recent method that constructs SCRs from simultaneous confidence bands (SCBs), obtained by using the bootstrap on 1D and 2D images. To extend this method to fMRI studies, we evaluate the validity of the bootstrap with fMRI data through extensive 2D simulations. Six bootstrap variants, including the nonparametric bootstrap and multiplier bootstrap are compared. The Rademacher multiplier bootstrap-t performs the best, achieving a coverage rate close to the nominal level with sample sizes as low as 20. We further validate our approach using realistic noise simulations obtained by resampling resting-state 3D fMRI data, a technique that has become the gold standard in the field. Moreover, our implementation handles data of any dimension and is equipped with interactive visualization tools designed for fMRI analysis. We apply our approach to task fMRI volume data and surface data from the Human Connectome Project, showcasing the method's utility.

PMID:39896511 | PMC:PMC11785249 | DOI:10.1101/2025.01.24.634784

bioRxiv [Preprint]. 2025 Jan 23:2025.01.23.634596. doi: 10.1101/2025.01.23.634596.

ABSTRACT

Numerous approaches have been used to denoise spinal cord functional magnetic resonance imaging (fMRI) data. Principal component analysis (PCA)-based techniques, which derive regressors from a noise region of interest (ROI), have been used in both brain (e.g., CompCor) and spinal cord fMRI. However, spinal cord fMRI denoising methods have yet to be systematically evaluated. Here, we formalize and evaluate a PCA-based technique for deriving nuisance regressors for spinal cord fMRI analysis (SpinalCompCor). In this method, regressors are derived with PCA from a noise ROI, an area defined outside of the spinal cord and cerebrospinal fluid. A parallel analysis is used to systematically determine how many components to retain as regressors for modeling; this designated a median of 11 regressors across three fMRI datasets: motor task (n=26), breathing task (n=27), and resting state (n=10). First-level fMRI modeling demonstrated that principal component regressors did fit noise (e.g., physiological noise from blood vessels), particularly in the resting state fMRI dataset. However, group-level motor task activation maps themselves did not show a clear benefit from including SpinalCompCor regressors over our original denoising model. The potential for collinearity of principal component regressors with the task may be a concern, and this should be considered in future implementations for which task-correlated noise is anticipated.

PMID:39896462 | PMC:PMC11785179 | DOI:10.1101/2025.01.23.634596

Neurobiol Aging. 2025 Jan 28;148:27-40. doi: 10.1016/j.neurobiolaging.2025.01.006. Online ahead of print.

ABSTRACT

Age-related differences in fluid cognition have been associated with both the merging of functional brain networks, defined from resting-state functional magnetic resonance imaging (rsfMRI), and with elevated cortical iron, assessed by quantitative susceptibility mapping (QSM). Limited information is available, however, regarding the depthwise profile of cortical iron and its potential relation to functional connectivity. Here, using an adult lifespan sample (n = 138; 18-80 years), we assessed relations among graph theoretical measures of functional connectivity, column-based depthwise measures of cortical iron, and fluid cognition (i.e., tests of memory, perceptual-motor speed, executive function). Increased age was related both to less segregated functional networks and to increased cortical iron, especially for superficial depths. Functional network segregation mediated age-related differences in memory, whereas depthwise iron mediated age-related differences in general fluid cognition. Lastly, higher mean parietal iron predicted lower network segregation for adults younger than 45 years of age. These findings suggest that functional connectivity and depthwise cortical iron have distinct, complementary roles in the relation between age and fluid cognition in healthy adults.

PMID:39893877 | DOI:10.1016/j.neurobiolaging.2025.01.006

Neural Netw. 2025 Jan 27;185:107195. doi: 10.1016/j.neunet.2025.107195. Online ahead of print.

ABSTRACT

Ample studies across various neuroimaging modalities have suggested that the human cortex at rest is hierarchically organized along the spectral and functional axes. However, the relationship between the spectral and functional organizations of the human cortex remains largely unexplored. Here, we reveal the confluence of functional and spectral cortical organizations by examining the functional specialization in spectral gradients of the cortex. These spectral gradients, derived from functional magnetic resonance imaging data at rest using our temporal de-correlation method to enhance spectral resolution, demonstrate regional frequency biases. The grading of spectral gradients across the cortex - aligns with many existing brain maps - is found to be highly functionally specialized through discovered frequency-specific resting-state functional networks, functionally distinctive spectral profiles, and an intrinsic coordinate system that is functionally specialized. By demonstrating the functionally specialized spectral gradients of the cortex, we shed light on the close relation between functional and spectral organizations of the resting human cortex.

PMID:39893804 | DOI:10.1016/j.neunet.2025.107195