Predicting treatment outcome based on resting-state functional connectivity in internalizing mental disorders: A systematic review and meta-analysis

Neuroscience & Biobehavioral Reviews, Год журнала: 2024, Номер 160, С. 105640 - 105640

Опубликована: Март 26, 2024

Predicting treatment outcome in internalizing mental disorders prior to initiation is pivotal for precision healthcare. In this regard, resting-state functional connectivity (rs-FC) and machine learning have often shown promising prediction accuracies. This systematic review meta-analysis evaluates these studies, considering their risk of bias through the Prediction Model Study Risk Bias Assessment Tool (PROBAST). We examined predictive performance features derived from rs-FC, identified with highest value, assessed employed pipelines. searched electronic databases Scopus, PubMed PsycINFO on 12th December 2022, which resulted 13 included studies. The mean balanced accuracy predicting was 77% (95% CI: [72%- 83%]). rs-FC dorsolateral prefrontal cortex had high value most However, a all compromising interpretability. Methodological recommendations are provided based comprehensive exploration studies' pipelines, potential fruitful developments discussed.

Язык: Английский

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Basal ganglia and cerebellum contributions to vocal emotion processing as revealed by high-resolution fMRI

Scientific Reports, Год журнала: 2021, Номер 11(1)

Опубликована: Май 20, 2021

Abstract Until recently, brain networks underlying emotional voice prosody decoding and processing were focused on modulations in primary secondary auditory, ventral frontal prefrontal cortices, the amygdala. Growing interest for a specific role of basal ganglia cerebellum was recently brought into spotlight. In present study, we aimed at characterizing such subcortical regions vocal emotion processing, level both activation functional effective connectivity, using high resolution magnetic resonance imaging. Variance explained by low-level acoustic parameters (fundamental frequency, energy) also modelled. Wholebrain data revealed expected contributions temporal to while connectivity analyses highlighted correlations between cerebellum, especially angry voices. Seed-to-seed seed-to-voxel direct connections within ganglia—especially putamen external globus pallidus—and subthalamic nucleus cerebellum. Our results speak favour crucial ganglia, putamen, pallidus nucleus, several cerebellar lobules nuclei an efficient response emotions.

Язык: Английский

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A Comparative Perspective on the Cerebello-Cerebral System and Its Link to Cognition

The Cerebellum, Год журнала: 2022, Номер 22(6), С. 1293 - 1307

Опубликована: Ноя. 23, 2022

The longstanding idea that the cerebral cortex is main neural correlate of human cognition can be elaborated by comparative analyses along vertebrate phylogenetic tree support view cerebello-cerebral system suited to non-motor functions more generally. In humans, diverse accounts have illustrated cerebellar involvement in cognitive functions. Although neocortex, and its transmodal association cortices such as prefrontal cortex, become disproportionately large over primate evolution specifically, neocortical volume does not appear exceptional relative variability within primates. Rather, several lines evidence indicate volumetric increase lateral cerebellum conjunction with connectivity cortical may linked mental operation This supported diverging adaptations potentially coevolve abilities across other vertebrates dolphins, parrots, elephants. Modular upon thus help better understand neuroevolutionary trajectory brain relation humans. Lateral lobules crura I-II their reciprocal connections areas substantially expanded great apes, This, notable ventral portions dentate nucleus a shift increased prefrontal-cerebellar connectivity, suggests modular sum, we show how neuroscience provides new avenues broaden our understanding context cognition.

Язык: Английский

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Structural Features Predict Sexual Trauma and Interpersonal Problems in Borderline Personality Disorder but Not in Controls: A Multi-Voxel Pattern Analysis

Frontiers in Human Neuroscience, Год журнала: 2022, Номер 16

Опубликована: Фев. 23, 2022

Child trauma plays an important role in the etiology of Bordeline Personality Disorder (BPD). Of all traumas, sexual is most common, severe and associated with receiving a BPD diagnosis when adult. Etiologic models posit abuse as prognostic factor BPD. Here we apply machine learning using Multiple Kernel Regression to Magnetic Resonance Structural Images 20 13 healthy control (HC) see whether their brain predicts five sources traumas: sex abuse, emotion neglect, emotional physical (Child Trauma Questionnaire; CTQ). We also applied same analysis predict symptom severity domains: affective, cognitive, impulsivity, interpersonal (Zanarini Rating Scale for Borderline Disorder; Zan-BPD) patients only. Results indicate that CTQ predicted by set areas including amygdala, Heschl area, Caudate, Putamen, portions Cerebellum Importantly, problems only were temporal lobe cerebellar regions. Notably, not structural features matched controls. This finding may help elucidate circuit affected traumatic experiences connected suffer from.

Язык: Английский

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Quantitative susceptibility mapping shows lower brain iron content in children with attention‐deficit hyperactivity disorder

Human Brain Mapping, Год журнала: 2022, Номер 43(8), С. 2495 - 2502

Опубликована: Фев. 2, 2022

To investigate the feasibility of quantitative susceptibility mapping in children with attention-deficit hyperactivity disorder (ADHD), 53 ADHD aged 5-16 years were prospectively selected as study group and 49 healthy matched age gender control group. All underwent magnetic resonance imaging conventional sequence, 3D-T1, enhanced T2*-weighted angiography (ESWAN) sequence scanning. The iron content brain regions was obtained through software postprocessing, compared analyzed to find out characteristics ADHD. frontal lobe, globus pallidus, caudate nucleus, substantia nigra, putamen, hippocampus lower than that (p < .05). There no significant difference left right > volume lobe Iron areas such hippocampus, putamen could distinguish (Area under curve [AUC] 0.5, p Quantitative showed decreased some

Язык: Английский

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