Depression represents a remarkable public health burden, accounting for a large amount of disability and societal costs, comparable to prevalent diseases in other areas of medicine. This is partly due to unsatisfactory outcomes of well-established therapies, including psychotropic drugs and different types of psychotherapy. As a response to this problem, therapeutics in psychiatry is moving from drug manipulation of neurotransmitter systems to modulation of brain circuits selectively involved in specific symptoms of depression. These efforts have been partially hampered, however, by heterogeneity of clinical manifestations in these disorders, such that different symptoms are hypothesized to be maintained by specific circuit-level dysfunctions, as well as by significant interindividual variation in those brain circuits, which calls for personalized approaches to achieve their successful modulation. Thus far, the efforts to accomplish individualized and precise modulation of aberrant circuits responsible for the expression of depression and anxiety symptoms have encountered three important, mutually related problems. First, widely available noninvasive neuromodulation techniques such as repetitive transcranial magnetic stimulation (rTMS) have poor spatial resolution and only reach superficial areas of the brain, which impedes the precise modulation of circuits that involve deep, minute subcortical gray matter structures and/or white matter connecting tracts. Second, surgical deep-brain stimulation procedures are more accurate but are too costly and risky to be implemented in any moderately sized proof-of-concept study at present. Third, it is unlikely that modification of the activity of a discrete brain circuit will target the entire complex behavioral macro of major depression. The investigators therefore chose to target a single measurable and replicable construct of depression, repetitive negative thinking (RNT). RNT is a transdiagnostic clinical manifestation that cuts across a variety of internalizing psychiatric disorders, but in the case of depression, it is associated with persistent symptoms, treatment resistance, proneness to relapse after treatment, and more suicidal ideation, behavior, and completed suicides. With the help of an emerging technology device recently acquired by LIBR, which can produce focused, reversible and noninvasive neuromodulation in deep brain structures (low-intensity transcranial focused ultrasound, tfUS), the investigators will probe the causal role of individually-identified circuits in the modulation of (a) the generation and maintenance of repetitive negative thinking (RNT), and (b) affective processing of self-referential adjectives. Specifically, the investigators will put to test the hypotheses that RNT and the affective load of self-referential adjectives can be improved by modulating components of an anteromedial brain circuit, identified on an individual basis as associated with high levels of RNT. Therefore, this project has two distinct phases. First, the investigators will use advanced structural-functional connectivity analysis techniques to define anatomical tracts that support functional connectivity alterations associated with high RNT. The investigators will refine and adjust results of whole-brain analyses, by focusing also on overlapping anatomical components of tracts pertaining to three well-established, historical psychosurgical targets of antidepressant and obsessional thinking treatment. Second, the investigators will employ the resulting regions of interest to inform the choice of the target(s) for tfUS neuromodulation, probing its effects on 1) neural processing of self-referential affective adjectives, 2) functional connectivity between regions known to have an anatomical connection in the individual participant, and 3) measures of RNT and clinical depression, including the degree of distress associated to the thought/s subjected to RNT. The investigators are in an ideal position to accomplish these objectives, given their experience with clinical management of these disorders, with the use of neuromodulation techniques, and expertise in the use of state-of-the-art structural and functional neuroimaging techniques, psychophysiological tools, and computational psychiatry methods.