Studies in computational intelligence, Год журнала: 2025, Номер unknown, С. 381 - 393
Опубликована: Янв. 1, 2025
Язык: Английский
Studies in computational intelligence, Год журнала: 2025, Номер unknown, С. 381 - 393
Опубликована: Янв. 1, 2025
Язык: Английский
Neuron, Год журнала: 2023, Номер 111(7), С. 1037 - 1049
Опубликована: Апрель 1, 2023
Язык: Английский
Процитировано
43World Psychiatry, Год журнала: 2024, Номер 23(1), С. 26 - 51
Опубликована: Янв. 12, 2024
Functional neuroimaging emerged with great promise and has provided fundamental insights into the neurobiology of schizophrenia. However, it faced challenges criticisms, most notably a lack clinical translation. This paper provides comprehensive review critical summary literature on functional neuroimaging, in particular magnetic resonance imaging (fMRI), We begin by reviewing research fMRI biomarkers schizophrenia high risk phase through historical lens, moving from case-control regional brain activation to global connectivity advanced analytical approaches, more recent machine learning algorithms identify predictive features. Findings studies negative symptoms as well neurocognitive social cognitive deficits are then reviewed. neural markers these may represent promising treatment targets Next, we summarize related antipsychotic medication, psychotherapy psychosocial interventions, neurostimulation, including response resistance, therapeutic mechanisms, targeting. also utility data-driven approaches dissect heterogeneity schizophrenia, beyond comparisons, methodological considerations advances, consortia precision fMRI. Lastly, limitations future directions field discussed. Our suggests that, order for be clinically useful care patients should address potentially actionable decisions that routine treatment, such which prescribed or whether given patient is likely have persistent impairment. The potential influenced must weighed against cost accessibility factors. Future evaluations prognostic consider health economics analysis.
Язык: Английский
Процитировано
25Imaging Neuroscience, Год журнала: 2024, Номер 2, С. 1 - 10
Опубликована: Апрель 1, 2024
Abstract Human neuroscience research remains largely preoccupied with mapping distinct brain areas to complex psychological processes and features of mental health disorders. While this reductionist localizationist perspective has resulted in several substantive contributions the field, it long been viewed as only a piece puzzle. Emerging evidence now empirically demonstrates how historical reliance on techniques may underlie recent challenges reproducibility translation human neuroscience. To advance discovery, we must collectively better incorporate systems machine-learning approaches that capture multidimensional, dynamic, interacting nature brain. Moreover, begin contend best integrate complementary modalities beyond understand processes.
Язык: Английский
Процитировано
21Translational Psychiatry, Год журнала: 2024, Номер 14(1)
Опубликована: Июль 5, 2024
Abstract Major depressive disorder (MDD) is characterized by a multitude of psychopathological symptoms including affective, cognitive, perceptual, sensorimotor, and social. The neuronal mechanisms underlying such co-occurrence remain yet unclear. Rather than linking localizing single to specific regions or networks, this perspective proposes more global dynamic topographic approach. We first review recent findings on brain activity changes during both rest task states in MDD showing reorganization with shift from unimodal transmodal regions. Next, we out two candidate that may underlie mediate abnormal uni-/transmodal topography, namely shifts shorter longer timescales abnormalities the excitation-inhibition balance. Finally, show how relates various their co-occurrence. This amounts what describe as ‘Topographic reorganization’ which extends our earlier ‘Resting state hypothesis depression’ complements other models MDD.
Язык: Английский
Процитировано
15Brain Structure and Function, Год журнала: 2024, Номер 229(2), С. 387 - 402
Опубликована: Янв. 6, 2024
Язык: Английский
Процитировано
14Current Opinion in Neurobiology, Год журнала: 2024, Номер 86, С. 102859 - 102859
Опубликована: Апрель 6, 2024
One of the most exciting new developments in systems neuroscience is progress being made toward neurophysiological experiments that move beyond simplified laboratory settings and address richness natural behavior. This enabled by technological advances such as wireless recording freely moving animals, automated quantification behavior, methods for analyzing large data sets. Beyond empirical data, however, there also a need theories concepts to interpret data. Such particular challenges which often differ significantly from scenarios studied traditional settings. Here, we discuss some strategies developing novel example hypotheses proposed.
Язык: Английский
Процитировано
14Nature reviews. Neuroscience, Год журнала: 2025, Номер 26(3), С. 189 - 189
Опубликована: Янв. 6, 2025
Язык: Английский
Процитировано
1Philosophy Compass, Год журнала: 2023, Номер 18(5)
Опубликована: Апрель 3, 2023
Abstract Functional localization is a central aim of cognitive neuroscience. But the nature and extent functional in human brain have been subjects fierce theoretical debate since 19 th Century. In this essay, I first examine how concepts changed over time. then analyze contemporary challenges to drawing from research on neural reuse, degeneracy, context‐dependence functions. explore consequences these for topics philosophy science mind including localizationist versus anti‐localizationist approaches neuroscience, multiple realizability, reverse inference neuroimaging, modularity mind.
Язык: Английский
Процитировано
17Neuroscience & Biobehavioral Reviews, Год журнала: 2024, Номер 165, С. 105864 - 105864
Опубликована: Авг. 30, 2024
niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français étrangers, laboratoires publics privés.
Процитировано
7Royal Society Open Science, Год журнала: 2024, Номер 11(11)
Опубликована: Ноя. 1, 2024
The last decade has seen substantial advances in the capacity to record behaviour and neural activity humans real-world settings, simulate situations laboratory settings apply sophisticated analyses large-scale data. Along with these developments, a growing number of groups begun advocate for neuroscience cognitive science. Here, we review arguments available methods research outline an overarching framework that embeds key ideas proposed literature integrating them into cyclic process 'bringing lab real world' (recording behavioural settings) lab' (manipulating environments which behaviours occur laboratory) combines exploratory confirmatory is interdisciplinary (including those sciences concerned natural, built or virtual environment). We highlight benefits brought by this emphasizing greater potential novel discovery, theory development human-centred applications environment.
Язык: Английский
Процитировано
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