scholarly journals Computational framework for detection of subtypes of neuropsychiatric disorders based on DTI-derived anatomical connectivity

2020 ◽  
Vol 33 (5) ◽  
pp. 393-399
Author(s):  
Rong Chen ◽  
Kyunghun Lee ◽  
Edward H Herskovits
Keyword(s):  
Diffusion Tensor ◽  
Inferior Frontal Gyrus ◽  
Anterior Cingulate ◽  
Impulsive Behavior ◽  
Cingulate Gyrus ◽  
Imaging Data ◽  
Anatomical Connectivity ◽  
Computational Framework ◽  
Data Set ◽  
Superior Frontal Gyrus

Many brain disorders – such as Alzheimer’s disease, Parkinson’s disease, schizophrenia and autism – are heterogeneous, that is, they may have several subtypes. Traditionally, clinicians have identified subtypes, such as subtypes of psychosis, using clinical criteria. Neuroimaging has the potential to detect subtypes based on objective biomarker-based criteria; however, there are no studies that evaluate the application of combining unsupervised machine learning and anatomical connectivity analysis to accomplish this goal. We propose a computational framework to detect subtypes based on anatomical connectivity computed from diffusion tensor imaging data, in a data-driven and fully automated way. The proposed method exhibits excellent performance on simulated data. We also applied this approach to a real-world dataset: the Nathan Kline Institute data set. The Nathan Kline Institute study consists of 137 normal adult subjects (mean age 41 years (standard deviation 18), male/female 85/52). We examined the association between detected subtypes and the impulsive behavior scale. We found that a subtype characterized by lower connectivity scores was associated with a higher positive urgency score; positive urgency is a vulnerability marker for drug addiction. The top-ranked connections characterizing subtypes involve several brain regions, including the anterior cingulate gyrus, median cingulate gyrus, thalamus, superior frontal gyrus (medial), middle frontal gyrus (orbital part), inferior frontal gyrus (triangular part), superior frontal gyrus, precuneus and putamen. The proposed framework is extendable, and can be used to detect subtypes from other features, including clinical and genomic biomarkers.

scholarly journals Framing and Self-Responsibility Modulate Brain Activities in Decision Escalation

2021 ◽  
Author(s):  
Ting-Peng Liang ◽  
Yuwen Li ◽  
Nai-Shing Yen ◽  
Ofir Turel ◽  
Sen-Mou Hsu
Keyword(s):  
Anterior Cingulate Cortex ◽  
Contextual Factors ◽  
Inferior Frontal Gyrus ◽  
Cingulate Cortex ◽  
Brain Regions ◽  
Anterior Cingulate ◽  
Imaging Data ◽  
Two Factors ◽  
Human Decision

Abstract Background: Escalation of commitment is a common bias in human decision making. The present study examined (1) differences in neural recruitment for escalation and de-escalation decisions of prior investments, and (2) how the activations of these brain networks are modulated by two factors that are often argued to modulate the behavior: (i) self-responsibility, and (ii) framing of the success probabilities. Results: Imaging data were obtained from functional magnetic resonance imaging (fMRI) applied to 29 participants. A whole-brain analysis was conducted to compare brain activations between conditions. ROI analysis, then, was used to examine if these significant activations were modulated by two contextual factors. Finally, mediation analysis was applied to explore how the contextual factors affect escalation decisions through brain activations. The findings showed that (1) escalation decisions are faster than de-escalation decisions, (2) the corresponding network of brain regions recruited for escalation (anterior cingulate cortex, insula and precuneus) decisions differs from this recruited for de-escalation decisions (inferior and superior frontal gyri), (3) the switch from escalation to de-escalation is primarily frontal gyri dependent, and (4) activation in the anterior cingulate cortex, insula and precuneus were further increased in escalation decisions, when the outcome probabilities of the follow-up investment were positively framed; and activation in the inferior and superior frontal gyri in de-escalation decisions were increased when the outcome probabilities were negatively framed. Conclusions: Escalation and de-escalation decisions recruit different brain regions. Framing of possible outcomes as negative leads to escalation decisions through recruitment of the inferior frontal gyrus. Responsibility for decisions affects escalation decisions through recruitment of the superior (inferior) gyrus, when the decision is framed positively (negatively).

scholarly journals Neurochemical Correlates of Brain Atrophy in Fibromyalgia Syndrome: A Magnetic Resonance Spectroscopy and Cortical Thickness Study

2020 ◽  
Vol 10 (6) ◽  
pp. 395
Author(s):  
Paola Feraco ◽  
Salvatore Nigro ◽  
Luca Passamonti ◽  
Alessandro Grecucci ◽  
Maria Eugenia Caligiuri ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Cortical Thickness ◽  
Inferior Frontal Gyrus ◽  
Pain Modulation ◽  
Anterior Cingulate ◽  
Resonance Spectroscopy ◽  
Dependent Manner ◽  
Cingulate Gyrus ◽  
Concentration Dependent Manner ◽  
The Right

(1) Background: Recently, a series of clinical neuroimaging studies on fibromyalgia (FM) have shown a reduction in cortical volume and abnormally high glutamate (Glu) and glutamate + glutamine (Glx) levels in regions associated with pain modulation. However, it remains unclear whether the volumetric decreases and increased Glu levels in FM are related each other. We hypothesized that higher Glu levels are related to decreases in cortical thickness (CT) and volume in FM patients. (2) Methods: Twelve females with FM and 12 matched healthy controls participated in a session of combined 3.0 Tesla structural magnetic resonance imaging (MRI) and single-voxel MR spectroscopy focused on the thalami and ventrolateral prefrontal cortices (VLPFC). The thickness of the cortical and subcortical gray matter structures and the Glu/Cr and Glx/Cr ratios were estimated. Statistics included an independent t-test and Spearman’s test. (3) Results: The Glu/Cr ratio of the left VLPFC was negatively related to the CT of the left inferior frontal gyrus (pars opercularis (p = 0.01; r = −0.75) and triangularis (p = 0.01; r = −0.70)). Moreover, the Glx/Cr ratio of the left VLPFC was negatively related to the CT of the left middle anterior cingulate gyrus (p = 0.003; r = −0.81). Significantly lower CTs in FM were detected in subparts of the cingulate gyrus on both sides and in the right inferior occipital gyrus (p < 0.001). (4) Conclusions: Our findings are in line with previous observations that high glutamate levels can be related, in a concentration-dependent manner, to the morphological atrophy described in FM patients.

scholarly journals Shared and unique neural circuitry underlying temporally unpredictable threat and reward processing

2021 ◽  
Author(s):  
Milena Radoman ◽  
Lynne Lieberman ◽  
Jagan Jimmy ◽  
Stephanie M Gorka
Keyword(s):  
Inferior Frontal Gyrus ◽  
Neural Circuitry ◽  
Reward Processing ◽  
Anterior Cingulate ◽  
Neural Systems ◽  
Imaging Data ◽  
Dorsal Anterior Cingulate Cortex ◽  
Posterior Insula ◽  
Middle Occipital Gyrus ◽  
The Right

Abstract Temporally unpredictable stimuli influence behavior across species, as previously demonstrated for sequences of simple threats and rewards with fixed or variable onset. Neuroimaging studies have identified a specific frontolimbic circuit that may become engaged during the anticipation of temporally unpredictable threat (U-threat). However, the neural mechanisms underlying processing of temporally unpredictable reward (U-reward) are incompletely understood. It is also unclear whether these processes are mediated by overlapping or distinct neural systems. These knowledge gaps are noteworthy given that disruptions within these neural systems may lead to maladaptive response to uncertainty. Here, using functional magnetic resonance imaging data from a sample of 159 young adults, we showed that anticipation of both U-threat and U-reward elicited activation in the right anterior insula, right ventral anterior nucleus of the thalamus and right inferior frontal gyrus. U-threat also activated the right posterior insula and dorsal anterior cingulate cortex, relative to U-reward. In contrast, U-reward elicited activation in the right fusiform and left middle occipital gyrus, relative to U-threat. Although there is some overlap in the neural circuitry underlying anticipation of U-threat and U-reward, these processes appear to be largely mediated by distinct circuits. Future studies are needed to corroborate and extend these preliminary findings.

scholarly journals Altered Spontaneous Brain Activity in Somatic Symptom Disorder: A Resting-state fMRI Study

2020 ◽  
Author(s):  
Yangyang Cui ◽  
Huai-Bin Liang ◽  
Qian Zhu ◽  
Zhaoxia Qin ◽  
Yue Hu ◽  
...  
Keyword(s):  
Resting State ◽  
Somatic Symptom ◽  
Inferior Frontal Gyrus ◽  
Anterior Cingulate ◽  
Parahippocampal Gyrus ◽  
Middle Temporal Gyrus ◽  
Cingulate Gyrus ◽  
Medical Disorders ◽  
Medial Frontal Gyrus ◽  
The Right

Abstract Background: Somatic symptom disorders (SSDs) are common medical disorders characterized by various biological, social, and psychological pathogenic factors. Little is known about the neural correlations of SSD. Methods: In this study, we evaluated the dysfunction in 45 patients with SSD and in 43 controls by combining the regional homogeneity (ReHo) amplitudes of low-frequency fluctuation (ALFF) methods based on resting-state functional magnetic resonance imaging. Results: Compared to the controls, the patients with SSD exhibited significantly greater ReHo in the right cingulate gyrus and smaller ReHo in the right precuneus, left inferior and temporal gyrus extending to the left middle temporal gyrus and left parahippocampal gyrus, and right pons. The SSD patients showed higher ALFF values in the cingulate gyrus extending to the left medial frontal gyrus, right insula extending to the right inferior frontal gyrus, and left medial frontal gyrus extending to the left anterior cingulate cortex. Conclusions: These dysfunction areas seem to have a particular importance for the occurrence of SSD, which may result in dysfunction in self-relevant processes, emotional processing, multimodal integration, arousal, interoception, and body perception.

scholarly journals Positive symptoms and white matter microstructure in never-medicated first episode schizophrenia

2010 ◽  
Vol 41 (8) ◽  
pp. 1709-1719 ◽  
Author(s):  
V. Cheung ◽  
C. P. Y. Chiu ◽  
C. W. Law ◽  
C. Cheung ◽  
C. L. M. Hui ◽  
...  
Keyword(s):  
White Matter ◽  
Negative Symptoms ◽  
Diffusion Tensor ◽  
Structural Connectivity ◽  
Anterior Cingulate ◽  
Middle Temporal Gyrus ◽  
First Episode ◽  
Positive Symptoms ◽  
Cingulate Gyrus ◽  
First Episode Schizophrenia

BackgroundWe investigated cerebral structural connectivity and its relationship to symptoms in never-medicated individuals with first-onset schizophrenia using diffusion tensor imaging (DTI).MethodWe recruited subjects with first episode DSM-IV schizophrenia who had never been exposed to antipsychotic medication (n=34) and age-matched healthy volunteers (n=32). All subjects received DTI and structural magnetic resonance imaging scans. Patients' symptoms were assessed on the Positive and Negative Syndrome Scale. Voxel-based analysis was performed to investigate brain regions where fractional anisotropy (FA) values significantly correlated with symptom scores.ResultsIn patients with first-episode schizophrenia, positive symptoms correlated positively with FA scores in white matter associated with the right frontal lobe, left anterior cingulate gyrus, left superior temporal gyrus, right middle temporal gyrus, right middle cingulate gyrus, and left cuneus. Importantly, FA in each of these regions was lower in patients than controls, but patients with more positive symptoms had FA values closer to controls. We found no significant correlations between FA and negative symptoms.ConclusionsThe newly-diagnosed, neuroleptic-naive patients had lower FA scores in the brain compared with controls. There was positive correlation between FA scores and positive symptoms scores in frontotemporal tracts, including left fronto-occipital fasciculus and left inferior longitudinal fasciculus. This implies that white matter dysintegrity is already present in the pre-treatment phase and that FA is likely to decrease after clinical treatment or symptom remission.

scholarly journals White Matter Abnormalities in Body Integrity Dysphoria

2021 ◽  
Author(s):  
Gianluca Saetta ◽  
Kathy Ruddy ◽  
Laura Zapparoli ◽  
Martina Gandola ◽  
Gerardo Salvato ◽  
...  
Keyword(s):  
White Matter ◽  
Diffusion Tensor ◽  
Inferior Frontal Gyrus ◽  
Structural Connectivity ◽  
The Body ◽  
Limb Amputation ◽  
Middle Temporal Gyrus ◽  
Imaging Data ◽  
Severe Condition ◽  
The Right

Body integrity dysphoria (BID) is a severe condition affecting non-psychotic individuals where a limb may be experienced as non-belonging, despite normal anatomical development and intact sensorimotor functions. Limb amputation is desired for restoring their own identity. We previously demonstrated altered brain structural (gray matter) and functional connectivity in 16 men with a long-lasting and exclusive desire for left leg amputation. Here we aimed to identify in the same sample altered patterns of white matter structural connectivity. Fractional anisotropy (FA), derived from Diffusion Tensor Imaging data, was considered as a measure of structural connectivity. Results showed reduced structural connectivity of: i) the right superior parietal lobule (rSPL) with the right cuneus, superior occipital and posterior cingulate gyri, and cuneus, ii) the pars orbitalis of the right middle frontal gyrus (rMFGOrb) with the putamen iii) the left middle temporal gyrus (lMTG) with the pars triangularis of the left inferior frontal gyrus. Increased connectivity was observed between the right paracentral lobule (rPLC) and the right caudate nucleus. By using a complementary method of investigation, we confirmed and extended previous results showing alterations in areas tuned to the processing of the sensorimotor representations of the affected leg (rPCL), and to higher-order components of bodily representation such as the body image (rSPL). Alongside this network for bodily awareness, other networks such as the limbic (rMFGOrb) and the mirror (lMTG) systems showed structural alterations as well. These findings consolidate current understanding of the neural correlates of BID, which might in turn guide diagnostics and rehabilitative treatments.

scholarly journals Framing and Self-Responsibility Modulate Brain Activities in Decision Escalation

2020 ◽  
Author(s):  
Ting-Peng Liang ◽  
Yuwen Li ◽  
Nai-Shing Yen ◽  
Ofir Turel ◽  
Sen-Mou Hsu
Keyword(s):  
Anterior Cingulate Cortex ◽  
Contextual Factors ◽  
Inferior Frontal Gyrus ◽  
Cingulate Cortex ◽  
Brain Regions ◽  
Anterior Cingulate ◽  
Imaging Data ◽  
Functional Magnetic Resonance ◽  
Human Decision

Abstract Background: Escalation of commitment is a common bias in human decision making. The present study examined (1) differences in neural recruitment for escalation and de-escalation decisions of prior investments, and (2) how the activation of these brain networks are modulated by two contextual/confounding factors: (i) responsibility, and (ii) framing of the success probabilities. Results: Imaging data were obtained from functional magnetic resonance imaging (fMRI) applied to 29 participants. A whole-brain analysis was conducted to compare brain activations between conditions. ROI analysis, then, was used to examine if these significant activations were modulated by two contextual factors. Finally, mediation analysis was applied to explore how the contextual factors affect escalation decisions through brain activations. The findings showed that (1) escalation decisions are faster than de-escalation decisions, (2) the corresponding network of brain regions recruited for escalation (anterior cingulate cortex, insula and precuneus) decisions differs from this recruited for de-escalation decisions (inferior and superior frontal gyri), (3) the switch from escalation to de-escalation is primarily frontal gyri dependent, and (4) activation in the anterior cingulate cortex, insula and precuneus were further increased in escalation decisions, when the outcome probabilities of the follow-up investment were positively framed; and activation in the inferior and superior frontal gyri in de-escalation decisions were increased when the outcome probabilities were negatively framed. Conclusions: Escalation and de-escalation decisions recruit different brain regions. Framing of possible outcomes as negative leads to escalation decisions through recruitment of the inferior frontal gyrus. Responsibility for decisions affects escalation decisions through recruitment of the superior (inferior) gyrus, when the decision is framed positively (negatively).

scholarly journals Framing and self-responsibility modulate brain activities in decision escalation

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Ting-Peng Liang ◽  
Yu-Wen Li ◽  
Nai-Shing Yen ◽  
Ofir Turel ◽  
Sen-Mou Hsu
Keyword(s):  
Anterior Cingulate Cortex ◽  
Contextual Factors ◽  
Inferior Frontal Gyrus ◽  
Cingulate Cortex ◽  
Brain Regions ◽  
Anterior Cingulate ◽  
Imaging Data ◽  
Two Factors ◽  
Human Decision

Abstract Background Escalation of commitment is a common bias in human decision making. The present study examined (1) differences in neural recruitment for escalation and de-escalation decisions of prior investments, and (2) how the activations of these brain networks are affected by two factors that can arguably modulate escalation decisions: (i) self-responsibility, and (ii) framing of the success probabilities. Results Imaging data were obtained from functional magnetic resonance imaging (fMRI) applied to 29 participants. A whole-brain analysis was conducted to compare brain activations between conditions. ROI analysis, then, was used to examine if these significant activations were modulated by two contextual factors. Finally, mediation analysis was applied to explore how the contextual factors affect escalation decisions through brain activations. The findings showed that (1) escalation decisions are faster than de-escalation decisions, (2) the corresponding network of brain regions recruited for escalation (anterior cingulate cortex, insula and precuneus) decisions differs from this recruited for de-escalation decisions (inferior and superior frontal gyri), (3) the switch from escalation to de-escalation is primarily frontal gyri dependent, and (4) activation in the anterior cingulate cortex, insula and precuneus were further increased in escalation decisions, when the outcome probabilities of the follow-up investment were positively framed; and activation in the inferior and superior frontal gyri in de-escalation decisions were increased when the outcome probabilities were negatively framed. Conclusions Escalation and de-escalation decisions recruit different brain regions. Framing of possible outcomes as negative leads to escalation decisions through recruitment of the inferior frontal gyrus. Responsibility for decisions affects escalation decisions through recruitment of the superior (inferior) gyrus, when the decision is framed positively (negatively).

scholarly journals Schizophrenia and the frontal lobes

2001 ◽  
Vol 178 (4) ◽  
pp. 337-343 ◽  
Author(s):  
J. Robin Highley ◽  
Mary A. Walker ◽  
Margaret M. Esiri ◽  
Brendan McDonald ◽  
Paul J. Harrison ◽  
...  
Keyword(s):  
White Matter ◽  
Frontal Lobe ◽  
Inferior Frontal Gyrus ◽  
Frontal Lobes ◽  
Anterior Cingulate ◽  
Cingulate Gyrus ◽  
Anterior Cingulate Gyrus ◽  
Cavalieri Principle ◽  
Structural Abnormalities ◽  
And Gender

BackgroundIt has been suggested that there is frontal lobe involvement in schizophrenia, and that it may be lateralised and gender-specific.AimsTo clarify the structure of the frontal lobes in schizophrenia in a postmortem series.MethodThe volume of white matter and cortical components of the frontal lobes was measured in brains of controls and patients with schizophrenia using planimetry and the Cavalieri principle. The components measured were: superior frontal gyrus, middle frontal gyrus, a composite of inferior frontal gyrus and orbito-frontal cortex, as well as total frontal lobe cortex and white matter. In addition, the anterior cingulate gyrus was measured.ResultsNo diagnosis, gender, diagnosis × side, diagnosis × gender or diagnosis × gender × side interactions were observed in the volume of any of the components, the grey matter as a whole or the white matter. No evidence for volumetric inter-group differences was found for the anterior cingulate gyrus.ConclusionsSuch structural abnormalities as are present in the frontal lobes are more subtle than straightforward alterations in tissue volume; they may include changes in shape and the pattern of gyral folding.

scholarly journals Changes of Structural Brain Network Following Repetitive Transcranial Magnetic Stimulation in Children With Bilateral Spastic Cerebral Palsy: A Diffusion Tensor Imaging Study

2021 ◽  
Vol 8 ◽  
Author(s):  
Wenxin Zhang ◽  
Shang Zhang ◽  
Min Zhu ◽  
Jian Tang ◽  
Xiaoke Zhao ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Diffusion Tensor ◽  
Repetitive Transcranial Magnetic Stimulation ◽  
Inferior Frontal Gyrus ◽  
Brain Network ◽  
Spastic Cerebral Palsy ◽  
Cingulate Gyrus ◽  
Structural Brain Network ◽  
The Right ◽  
Structural Brain

Introduction: Bilateral spastic cerebral palsy (BSCP) is the most common subtype of cerebral palsy (CP), which is characterized by various motor and cognitive impairments, as well as emotional instability. However, the neural basis of these problems and how repetitive transcranial magnetic stimulation (rTMS) can make potential impacts on the disrupted structural brain network in BSCP remain unclear. This study was aimed to explore the topological characteristics of the structural brain network in BSCP following the treatment of rTMS.Methods: Fourteen children with BSCP underwent 4 weeks of TMS and 15 matched healthy children (HC) were enrolled. Diffusion tensor imaging (DTI) data were acquired from children with bilateral spastic cerebral palsy before treatment (CP1), children with bilateral spastic cerebral palsy following treatment (CP2) and HC. The graph theory analysis was applied to construct the structural brain network. Then nodal clustering coefficient (Ci) and shortest path length (Li) were measured and compared among groups.Results: Brain regions with significant group differences in Ci were located in the left precental gyrus, middle frontal gyrus, calcarine fissure, cuneus, lingual gyrus, postcentral gyrus, inferior parietal gyri, angular gyrus, precuneus, paracentral lobule and the right inferior frontal gyrus (triangular part), insula, posterior cingulate gyrus, precuneus, paracentral lobule, pallidum. In addition, significant differences were detected in the Li of the left precental gyrus, lingual gyrus, superior occipital gyrus, middle occipital gyrus, superior parietal gyrus, precuneus and the right median cingulate gyrus, posterior cingulate gyrus, hippocampus, putamen, thalamus. Post hoc t-test revealed that the CP2 group exhibited increased Ci in the right inferior frontal gyrus, pallidum and decreased Li in the right putamen, thalamus when compared with the CP1 group.Conclusion: Significant differences of node-level metrics were found in various brain regions of BSCP, which indicated a disruption in structural brain connectivity in BSCP. The alterations of the structural brain network provided a basis for understanding of the pathophysiological mechanisms of motor and cognitive impairments in BSCP. Moreover, the right inferior frontal gyrus, putamen, thalamus could potentially be biomarkers for predicting the efficacy of TMS.

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