The technology at the heart of the trial is called real-time functional magnetic resonance imaging amygdala neurofeedback, and it is as conceptually striking as it sounds. While lying inside a 3-Tesla MRI scanner, participants viewed distressing images drawn from standardized affective picture databases, and a custom analysis pipeline computed the difference in activity between their right amygdala and a control region with every two-second scan cycle. That signal was translated into an eight-level thermometer displayed on either side of the image, updating in real time. In the Regulate condition, patients were told to bring the thermometer down using whatever mental strategy they could devise, without any explicit instructions. In the View condition, they simply watched the images passively. Over three neurofeedback sessions, each comprising two training runs of four cycles, participants effectively practiced voluntary control over a brain structure that most people can only influence indirectly, if at all.

The scientific rationale for the experiment rests on a well-documented neural signature. Neuroimaging studies and meta-analyses have consistently shown heightened amygdala activation to aversive stimuli in borderline personality disorder, accompanied by disturbed connectivity between the amygdala and prefrontal and anterior cingulate regions, the networks thought to support emotional modulation. Dialectical behavior therapy, the first-line evidence-based treatment for the condition, has itself been shown to reduce amygdala hyperactivation in parallel with symptom improvement. The researchers reasoned that if both interventions act on the same limbic circuit, neurofeedback might amplify the neural plasticity that psychotherapy induces, in the same way that pharmacological and neuromodulatory augmentations are increasingly being tested to enhance the effects of psychotherapy. Prior uncontrolled pilot studies had shown sustained amygdala reductions and improved emotion regulation after neurofeedback training, but without control groups or long-term follow-up, the findings could not rule out placebo effects or natural symptom fluctuation.

To measure whether the brain training translated into everyday emotional life, the team used ecological momentary assessment, an intensive smartphone-based sampling method that prompted participants roughly once per hour between 9 a.m. and 10 p.m. across four-day assessment windows, delivering thirteen prompts per day through randomized intervals. Each prompt included seventeen items assessing positive and negative affect, inner tension, and dissociative symptoms. The primary endpoint was not the average level of distress but its instability, quantified using the mean squared successive difference, a statistical index of how dramatically a person’s emotional state swings from one moment to the next. This choice matters because affective instability is the defining clinical feature of borderline personality disorder, and laboratory measures often fail to capture the volatile emotional dynamics that unfold in daily life. Compliance was remarkably high, averaging 87.2 percent, which lends credibility to the resulting data.

The results paint a nuanced picture. Participants did successfully downregulate their amygdala activity during neurofeedback training, as indicated by lower hemodynamic response function amplitude and area under the curve during Regulate compared with View trials. The downregulation was strongest during the first four training runs, replicating the temporal pattern reported in earlier single-arm work, before diminishing in later runs, possibly reflecting habituation to repeated exposure to negative stimuli. But when the researchers examined the primary outcome, the daily-life instability of negative affect, they found improvements over time in both groups without consistent superiority of the neurofeedback group. Mean levels of negative affect and inner tension decreased, with significantly lower levels at three-month follow-up than at pre-treatment, but these gains were not larger in the neurofeedback arm. Self-report questionnaires, including the Borderline Symptom List-23, the Difficulties in Emotion Regulation Scale, and the Beck Depression Inventory-II, likewise showed no additional benefit of neurofeedback, and borderline symptom severity actually increased after discharge in both groups.

The neural findings were similarly mixed. In the emotion regulation task, where participants viewed negative and neutral images under Regulate, View Negative, and View Neutral conditions, the critical Regulate greater than View contrast showed no significant group-by-time interaction, suggesting no evidence that neurofeedback selectively enhanced deliberate emotion regulation. Visual inspection of individual conditions hinted at broader changes: amygdala responses during both Regulate and View decreased from pre- to post-assessment in the neurofeedback group but increased in the treatment-as-usual group, pointing to transient habituation rather than selective enhancement of regulation. In the faces task, where participants viewed expressions of disgust, sadness, and fear, amygdala reactivity showed a significant group-by-time interaction. The treatment-as-usual group decreased from pre- to post-assessment and then increased again by follow-up, whereas the neurofeedback group showed no significant change, resulting in higher amygdala reactivity in the treatment-as-usual group at follow-up. This may indicate a more stable neural trajectory after neurofeedback, though the absence of significant within-group change in that arm limits interpretation.

Resting-state functional connectivity analyses revealed a transient pre-to-post increase in amygdala coupling with precuneus and dorsomedial frontal regions in the neurofeedback group, with the largest cluster centered in the precuneus and extending into the supplementary motor area, superior frontal gyrus, and postcentral gyrus. This aligns with prior work implicating amygdala-precuneus coupling in attentional deployment during emotion regulation, and with evidence that altered amygdala-precuneus connectivity relates to childhood trauma in depression. Notably, the neurofeedback group had higher baseline childhood trauma scores, and exploratory analyses adjusting for the Childhood Trauma Questionnaire showed that the resting-state effect persisted, though with a somewhat different spatial distribution. The researchers caution that the small sample and substantial trauma imbalance preclude firm conclusions about the specific contribution of neurofeedback, but the findings suggest a transient shift in amygdala coupling with midline systems, pointing to altered affective processing rather than selective enhancement of voluntary regulation.

Why did a technique that demonstrably engages its neural target fail to produce clear clinical gains? The researchers offer several explanations, all of which carry weight for the broader field of psychotherapy augmentation. The most plausible is that any additive effects of neurofeedback were difficult to detect against the backdrop of intensive residential dialectical behavior therapy. Both groups received a highly active intervention, and if the two treatments partly engage overlapping mechanisms of emotion regulation, the incremental contribution of neurofeedback may be comparatively small and harder to distinguish statistically. A simulation-based sensitivity analysis indicated that the study reached 80 percent power only for group-by-time effects of approximately 1.7 residual standard deviations, meaning smaller additive effects may have gone undetected. The absence of significant between-group differences should therefore not be interpreted as evidence of no additional effect. Recruitment was also challenging, and the originally planned sample size of twenty-two per group was not reached, partly due to strict inclusion criteria and disruptions related to the COVID-19 pandemic.

The study also raises questions about optimal timing. During residential treatment, patients were already learning multiple emotion-regulation skills, which may have limited the added impact of neurofeedback. The post-discharge increase in borderline symptoms in both groups highlights the challenge of maintaining gains during care transitions, a known feature of the condition’s unstable symptom trajectory. The researchers suggest that neurofeedback may be more useful after discharge, when patients can apply it to consolidate and strengthen previously acquired regulation strategies, consistent with evidence from other populations that a single neurofeedback session after cognitive-behavioral therapy increased the perceived efficacy and later use of emotion-regulation strategies practiced during scanning. Future studies should test whether neurofeedback is more effective as a maintenance or booster intervention than as concurrent augmentation during intensive treatment.

The trial was preregistered on ClinicalTrials.gov in 2020 and reported according to the CONSORT 2025 guidelines and the CONSORT extension for randomized pilot and feasibility trials. Analysis code is openly available on the Open Science Framework, while data are accessible under controlled access conditions. The study was funded by the AE Foundation and approved by the Ethics Committee of the Medical Faculty Mannheim at Heidelberg University. For a field increasingly drawn to the promise of combining neurofeedback with psychotherapeutic interventions, the findings represent a methodologically rigorous reality check: voluntary amygdala modulation is achievable, but translating that capacity into robust clinical benefit when added to effective standard treatment remains an open question. The researchers emphasize that the results should be considered preliminary given the limited sample size, and that the absence of demonstrated additive benefit within the constraints of this pilot trial does not rule out a role for amygdala neurofeedback in other configurations, other populations, or other moments in the treatment pathway.

Subject of Research: Amygdala neurofeedback as an adjunct to residential dialectical behavior therapy for borderline personality disorder: a pilot randomized controlled trial

Article Title: Amygdala neurofeedback as an adjunct to residential dialectical behavior therapy for borderline personality disorder: a pilot randomized controlled trial

Article References: Hofmanová, M., Santangelo, P. S., Kleindienst, N., Schmahl, C., & Paret, C. (2026). Amygdala neurofeedback as an adjunct to residential dialectical behavior therapy for borderline personality disorder: a pilot randomized controlled trial. BMC Psychiatry, 26(1), Article 802. https://doi.org/10.1186/s12888-026-08767-7

Image Credits: AI Generated

DOI: 10.1186/s12888-026-08767-7

Keywords: Amygdala, neurofeedback, adjunct, residential, dialectical, behavior, therapy, borderline, personality, disorder, pilot, randomized

The research team, led by Jingchun Shen and Xingxing Zhang, built detailed urban energy models of three case-study districts using the City Energy Analyst framework, supplemented with geospatial data from OpenStreetMap and refined in QGIS. The Amsterdam site comprises thirty-five boathouses along the Stadhouderskade canal, hemmed in by street trees and taller neighboring buildings. The Riga district, Daugavgrīva, contains eight mid-rise apartment blocks, a kindergarten and a grocery store. The Borlänge site in Sweden consists of ten low-rise, two-storey houses in the Rymdgatan community. These contrasting morphologies, the authors argue, are precisely what determines whether solar integration can realistically push a district toward net-zero operation.

To capture the influence of climate change, the team generated future weather files for 2050 and 2080 by morphing baseline Typical Meteorological Year data within the CMIP5 framework, and validated the results against the newer CMIP6 SSP2-4.5 middle-of-the-road emissions scenario. The comparison showed nearly identical warming trends and almost complete overlap in solar radiation projections, giving confidence that the principal climatic drivers of building energy demand and photovoltaic generation are robust across both datasets. The projected changes are striking. By 2080, annual mean temperature rises by 3.4 degrees Celsius in Amsterdam, 5.4 degrees in Riga and 4.8 degrees in Borlänge, while cumulative global horizontal irradiance increases by roughly 57, 65 and 210 kilowatt-hours per square metre respectively.

These shifts translate into a fundamental rebalancing of thermal demand. Heating degree days, calculated against an 18-degree base, fall by 35 percent in Amsterdam, 39 percent in Riga and 49 percent in Borlänge by 2080. Cooling degree days, measured against a 24-degree base, surge by 545 percent in Amsterdam and a remarkable 646 percent in Riga, although they rise by only 88 percent in the cooler Swedish context. The study concludes that European districts are moving from heating-dominated to cooling-sensitive demand profiles, a transition that will reshape building design, urban planning and the value of solar-generated electricity, which becomes more consistently available year-round as global irradiance increases.

At the heart of the methodology is an irradiance threshold framework, a deliberately simple but powerful idea. Rather than covering every available surface with panels, the researchers tested five annual radiation thresholds, from zero to 800 kilowatt-hours per square metre per year, placing panels only on surfaces receiving radiation above each cutoff. This allows planners to trade off total energy yield against the levelized cost of electricity, calculated with a 20-year system lifetime, a 5 percent discount rate and operation and maintenance costs set at about 1 percent of annualized capital expenditure. The team also ran sensitivity analyses using a solar learning rate of 24 percent, drawn from Berkeley Lab data on utility-scale photovoltaics, meaning each doubling of cumulative installed capacity reduces costs by roughly a quarter.

The results expose three distinct structural archetypes. Amsterdam’s boathouse district is demand-dominated: high density, heavy shading from adjacent buildings and trees, and severely limited envelope area mean that even with unrestricted panel placement, on-site photovoltaics would cover only 29 percent of current electricity demand, falling to 17 percent by 2080 as consumption climbs 48.3 percent. The recommended irradiance threshold is therefore the lowest tested range of 0 to 200 kilowatt-hours per square metre per year, and the authors argue that Amsterdam’s decarbonization must rely on multi-vector strategies, including higher-efficiency technologies, rooftop integration, flexible storage and an active role for distributed solar in grid decarbonization rather than local self-sufficiency alone.

Riga presents a balanced-to-surplus profile. Mid-rise buildings with favorable façade exposure and moderate density allow photovoltaic generation to exceed annual demand across all scenarios, with demand coverage ranging from 170 to 270 percent. Here the economics favor selectivity: the levelized cost of electricity, ranging from 0.18 to 0.36 US dollars per kilowatt-hour at baseline, reaches its minimum at an irradiance threshold of 600 kilowatt-hours per square metre per year, where self-consumption approaches 55 percent. Under moderate and strong technology-learning scenarios, costs fall by 30 to 50 percent, expanding the range of economically viable installation sites. The authors note that such surplus districts create opportunities for grid export, storage and sector coupling, but also warn that rising shares of variable generation reduce system inertia, requiring adapted market rules and balancing mechanisms of the kind already operating in Nordic electricity markets.

Borlänge, with its low-rise morphology, large roof and façade areas per unit of demand and minimal mutual shading, is surplus-dominated. Photovoltaic potential exceeds district demand by roughly four to five times at low irradiance thresholds and remains about three times higher even at 600 kilowatt-hours per square metre per year. The optimal threshold is 800 kilowatt-hours per square metre per year, where baseline costs of 0.13 to 0.26 dollars per kilowatt-hour reach their lowest point. Because the district is served by a low-carbon district heating network and cooling demand remains limited, total energy consumption rises only 1 percent by 2080 while solar potential grows 15 percent. The authors position Borlänge as an ideal testbed for export-oriented operations, curtailment management and grid-supportive flexibility measures under high renewable penetration.

The study also delivers a nuanced verdict on photovoltaic-thermal hybrid panels, which generate electricity and heat simultaneously. In Amsterdam, where dwellings rely on individual heating systems, the thermal output of hybrid panels directly offsets domestic hot water and space heating demand, keeping self-sufficiency ratios around 30 percent even in future scenarios. In Riga and Borlänge, however, mature district heating networks already supply most thermal demand, and projected reductions in heating needs further diminish the marginal value of additional heat, making electricity-only photovoltaics the more cost-effective choice. The technology-learning analysis adds a final insight: future cost reductions improve the absolute viability of every strategy, but the relative ranking of irradiance thresholds remains stable, confirming that solar access, installation area and demand, not economics alone, are the primary determinants of district-scale solar success.

Subject of Research: Techno-economic assessment of district-scale solar energy integration in three residential districts under future climate conditions

Article Title: Techno-economic assessment of district-scale solar energy integration in three residential districts under future climate conditions

Article References: Shen, J., & Zhang, X. (2026). Techno-economic assessment of district-scale solar energy integration in three residential districts under future climate conditions. Energy Reports, 16, Article 109698. https://doi.org/10.1016/j.egyr.2026.109698

Image Credits: AI Generated

DOI: 10.1016/j.egyr.2026.109698

Keywords: Techno-economic, assessment, district-scale, solar, energy, integration, three, residential, districts, under, future, climate