
Where Is Love in the Brain?
A neuroscientist's field guide to the circuits that make love feel real — and why heartbreak actually hurts.
This article accompanies the Neurofeedback & Chill livestream: "Where Is Love in the Brain?" — watch the full discussion for live Q&A and deeper dives into the research.
You've felt it. That warm compression in your chest when your kid runs toward you. The electric pull toward someone new. The ache when a relationship ends — physical, heavy, real. You know love is more than a Hallmark card. But where does it actually live?
If you try to find "the love spot" in the brain, the brain will troll you. There isn't one. Love isn't an emotion module sitting in a tidy cortical neighborhood. It's a coordinated motivational state — a strategy your brain uses to assign extreme value to a target, recruit approach and caregiving behaviors, bind that target into your identity and future planning, and generate a felt bodily state that makes it all undeniably real.
In other words, love is what happens when your brain decides something matters so much that it reorganizes around it.
Love Is Value — and Your Brain Has a System for That
The cleanest way to understand love cortically is through the lens of valuation. Your brain runs a sophisticated value-computation system. It calculates subjective worth across every domain — food, money, ideas, people — and the same core hubs show up whether you're evaluating a stock portfolio or staring at your partner across a dinner table.
The ventromedial prefrontal cortex and orbitofrontal cortex (vmPFC/OFC) are the primary integration points. A massive meta-analysis across 206 fMRI studies confirms that vmPFC and anterior ventral striatum are where positive value signals predominate — a "common currency" valuation system. In the most comprehensive love neuroimaging study to date (Rinne et al., 2024 — more on this in a moment), orbitofrontal and medial frontal regions show up across romantic love, parental love, friendship love, and even love for strangers, though in reduced form.
Here's what this means for you: when you feel love, your brain is literally computing that this person is precious. Not metaphorically. Neurally. The same machinery that evaluates whether a meal is worth eating is evaluating whether this human is worth protecting.
The Four Layers of Love (A Cortical Model)
After reviewing both classic and modern evidence, here's a model that holds up across the literature. Think of love as a four-layer cortical stack — each layer handles a different dimension of the experience, and they work together.
Layer 1: Valuation — "This Is Precious"
vmPFC and OFC integrate subjective value across contexts. This is the "common currency" layer — the part that decides this person, this child, this friend matters more than almost anything else competing for your attention.
Layer 2: Motivated Priority — "Act On It"
The anterior cingulate cortex (ACC) links reinforcement signals to motivation and control. The cingulate is consistently implicated in love studies, and for good reason. Love isn't passive. It's action-ready priority. The ACC helps you prioritize the beloved over competitors and supports caregiving and protection. It's also where the neuroscience of love and pain intersect — but I'll get to that.
Layer 3: Felt State — "I Feel It in My Body"
The anterior insula supports interoceptive representations — your brain's map of what's happening inside your body. This is one reason love feels like a bodily state, not just a thought. The warmth, the ache, the fluttering — that's insula activity translating internal signals into conscious subjective feeling. In love paradigms, insula activation shows up reliably in romantic love and long-term attachment contexts.
Layer 4: Meaning and Mind-Modeling — "Who Are You to Me?"
The posterior superior temporal sulcus (pSTS), temporoparietal junction (TPJ), and temporal cortex handle interpreting others' actions, intentions, and mental states — theory of mind. The posterior midline (precuneus and posterior cingulate) supports self-referential integration and autobiographical binding.
This layer is what makes interpersonal love categorically different from loving nature or music. When you love a person, you're building a model of their mind inside yours. You're predicting their thoughts, tracking their emotions, and integrating them into your story of who you are.
Not All Loves Are Created Equal (But They Share a Core)
A 2024 study from Rinne and colleagues at Aalto University in Finland gives us the most detailed map yet of how different loves recruit different circuits. They measured brain activity in 55 adults during love induction for six targets: romantic partner, child, friend, pet, stranger, and nature. And they measured something brilliant — how much each love was "felt in the body" versus "felt in the mind."
Here's the core finding: different loves share reward and value circuitry, but interpersonal loves recruit significantly more mind-reading and self-referential networks.
Romantic Love
The full orchestra. Reward and motivation regions (VTA, striatum), social perception (pSTS, temporal cortex), felt affect (insula, ACC), value integration (OFC/vmPFC), memory systems (hippocampus, amygdala), and cerebellum. This is "reward plus social perception plus body feeling," all at once.
Parental Love
Largely similar to romantic love during stories — but here's what's distinctive. During imagery of parental love (just feeling the emotion, not hearing a story), researchers found activation in striatum and thalamus that didn't appear for other love types. Parental love maintains a robust "action-ready" motivational core even when the task is purely to feel. Caregiving is a deeply action-coupled system. You don't just feel love for your child. Your brain is ready to move.
Love for Friends
Interpersonal meaning plus reward, but with a smaller footprint than romantic or parental love. Less temporal and social cortex recruitment, less brainstem depth. Still real. Still valued. Just less neurally "loud."
Love for Strangers (Compassionate Love)
Valuation and prosocial intent scaffold (medial frontal plus OFC) with smaller bond-specific reward depth. This is love as principle and action tendency, not love as fused attachment. You can care about someone's welfare without building a model of their mind.
Love for Pets
Less activation than love for humans overall — but here's where it gets interesting. Pet owners showed dramatically higher activity in social cognition regions (precuneus/PCC, pSTS, inferior parietal), memory systems (hippocampus, fusiform gyrus), compared to non-owners. Experience sculpts love circuitry. Your brain doesn't automatically recruit mind-modeling for a dog. But if you've lived with one? It starts building a model of that animal's mind too.
Love for Nature
Entirely different profile. Visual areas, spatial and scene systems (superior parietal lobule, precuneus), memory integration (hippocampus), but very little theory-of-mind recruitment. Nature love is aesthetic valuation and embodied awe, not relationship bonding.
Why Heartbreak Physically Hurts (The Pain Overlap)
This is where it gets important for anyone who's ever felt rejection like a punch to the chest.
Naomi Eisenberger's lab at UCLA demonstrated that social exclusion activates the same circuits as physical pain — specifically the dorsal anterior cingulate cortex (dACC) and anterior insula. Greater dACC activity during social exclusion correlates directly with stronger feelings of rejection. And in one of the most remarkable findings in social neuroscience, acetaminophen (Tylenol) actually reduces both social pain responses in self-report and neural activity in the dACC during social exclusion.
Your brain literally processes "they don't want me" through the same circuits as "I've been physically injured."
This isn't weakness. This is evolutionary engineering. For our ancestors, social exclusion was genuinely dangerous — it meant loss of protection, resources, mating opportunities, survival itself. So the brain co-opted the pain system to make social disconnection feel urgent enough to act on. The pain of rejection isn't metaphorical. It's processed through actual pain circuits. Same regions. Same neurochemistry.
The endogenous opioid system is central here. Mu-opioid receptors — the same system targeted by morphine — regulate both physical pain and social attachment. Variation in the mu-opioid receptor gene (OPRM1) predicts both physical pain sensitivity and rejection sensitivity. People with the G allele variant show greater dACC and insula activation during social exclusion and report higher trait sensitivity to rejection.
This is the neural foundation for what many people experience as rejection sensitivity — that overwhelming, body-level response to perceived criticism or exclusion.
Rejection Sensitivity and Neurodivergent Brains
If you have ADHD, autism, or other neurodivergent wiring, rejection doesn't just sting. It can feel like annihilation.
What's commonly called rejection sensitive dysphoria (RSD) — a term gaining traction in the neurodivergent community — describes intense, overwhelming emotional pain triggered by perceived or actual rejection. It's distinguished from ordinary disappointment by its severity: people describe it as being physically struck, as a wound, as catastrophic. Episodes can be brief but completely derailing.
RSD isn't a formal diagnosis, and the research is still catching up to the lived experience. But here's what the neuroscience suggests: the same circuits involved in social pain (dACC, anterior insula, amygdala) interact with the emotional regulation systems that are already different in ADHD and autistic brains. Prefrontal regulation — the system that normally dials down emotional responses to proportionate levels — operates differently in neurodivergent brains. Not broken. Running different gain settings.
The result? A job rejection that would register as a level 2 for a neurotypical brain hits at level 10. Your threat detection system reads social exclusion as immediate survival danger, and the prefrontal damping that would normally bring that signal down to manageable levels isn't as available.
This is circuit-level, not character-level. You're not "too sensitive." Your threat detection gain is turned up, and your regulatory circuits are wired differently. The same neural pattern that gives you extraordinary empathy, emotional depth, and the ability to read rooms — that's the flip side of the same coin.
Attachment Styles Are Brain Patterns
Your attachment style isn't just a personality quiz result. It's a measurable pattern of neural activation.
Secure attachment is associated with higher reward network activation when viewing both distressing and comforting social scenes — the brain registers these as meaningful and engageable, not threatening. Securely attached people also show lower ACC reactivity to threat, suggesting less alarm signaling and more capacity for regulated response.
Anxious attachment shows up as heightened activity in temporal pole, hippocampus, and dorsal ACC when processing negative relationship scenarios — stronger recruitment of systems that amplify emotional memory and threat detection — combined with reduced OFC activity when trying to suppress those thoughts. More alarm, less braking.
Avoidant attachment presents as decreased activation in anterior insula and dACC during social exclusion — the brain dampens the distress signal rather than processing it. Less alarm, but not because the situation doesn't matter. More like the system learned to suppress the signal.
These aren't choices. They're circuit configurations shaped by early experience. And circuits can be trained.
Love Gets Better With Time (Neuroscience Confirms)
Here's the hope section — and it's backed by data.
Acevedo and colleagues scanned couples married an average of 21 years who still reported intense romantic love. Their brains showed VTA and dorsal striatum activation (the early passion circuits, still online) plus regions implicated in long-term attachment: globus pallidus, substantia nigra, raphe nucleus, thalamus, insular cortex, and cingulate. VTA and caudate activity correlated with love scores. Hypothalamus and hippocampus correlated with sexual frequency.
Long-term love isn't just the embers of early passion. It's a durable valuation and attachment state — the reward system maintaining its commitment alongside expanded bonding circuitry.
Love can become more neurally sophisticated over time, not less. The brain doesn't lose interest in something it deeply values. It builds better infrastructure around it.
What You Can Actually Do With This
Knowing the circuits doesn't just satisfy curiosity. It opens doors.
Neurofeedback can train the specific circuits involved in emotional regulation, threat sensitivity, and reward processing. If your anterior cingulate runs hot (driving anxiety, social pain amplification, rejection sensitivity), that's a trainable pattern. If your insula is underperforming (making it hard to feel connected or present in your body), that's trainable too.
Mindfulness meditation has reliable effects on insula and ACC function — building the interoceptive awareness that lets you feel love as a bodily state rather than just a concept.
Social connection itself is neurofeedback. Every positive social interaction reinforces reward circuitry, dampens threat sensitivity, and builds the attachment infrastructure that makes love more accessible over time.
The same circuits that give you the capacity for deep love also create vulnerability to deep pain. You can't have one without the other. But you can train the regulatory systems that sit alongside them — making the experience richer and the pain more manageable.
You're not broken. Your love circuits are working exactly as designed. And if they're running hot, running painful, running in ways that feel overwhelming — those circuits can be trained.
Watch the Full Discussion
This article is based on Dr. Hill's Neurofeedback & Chill livestream: "Where Is Love in the Brain?". Join Dr. Hill every Monday at 6 PM Pacific for live neuroscience deep dives and audience Q&A on YouTube.
References
Acevedo, B. P., Aron, A., Fisher, H. E., & Brown, L. L. (2012). Neural correlates of long-term intense romantic love. Social Cognitive and Affective Neuroscience, 7(2), 145–159.
Aron, A., Fisher, H., Mashek, D. J., Strong, G., Li, H., & Brown, L. L. (2005). Reward, motivation, and emotion systems associated with early-stage intense romantic love. Journal of Neurophysiology, 94(1), 327–337.
Bartels, A., & Zeki, S. (2000). The neural basis of romantic love. NeuroReport, 11(17), 3829–3834.
Bartra, O., McGuire, J. T., & Kable, J. W. (2013). The valuation system: A coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value. NeuroImage, 76, 412–427.
Beauregard, M., Courtemanche, J., Paquette, V., & Landry St-Pierre, E. (2009). The neural basis of unconditional love. Psychiatry Research, 172(2), 93–98.
Craig, A. D. B. (2009). How do you feel — now? The anterior insula and human awareness. Nature Reviews Neuroscience, 10(1), 59–70.
DeWall, C. N., et al. (2010). Acetaminophen reduces social pain: Behavioral and neural evidence. Psychological Science, 21(7), 931–937.
Eisenberger, N. I. (2012). The pain of social disconnection: Examining the shared neural underpinnings of physical and social pain. Nature Reviews Neuroscience, 13(6), 421–434.
Feldman, R. (2017). The neurobiology of human attachments. Trends in Cognitive Sciences, 21(2), 80–99.
Long, M., et al. (2020). A functional neuro-anatomical model of human attachment (NAMA). Cortex, 126, 281–321.
Rinne, P., Lahnakoski, J. M., Saarimäki, H., Tavast, M., Sams, M., & Henriksson, L. (2024). Six types of loves differentially recruit reward and social cognition brain areas. Cerebral Cortex, 34(8), bhae331.
Saxe, R., & Kanwisher, N. (2003). People thinking about thinking people: The role of the temporo-parietal junction in "theory of mind." NeuroImage, 19(4), 1835–1842.
Shackman, A. J., et al. (2011). The integration of negative affect, pain and cognitive control in the cingulate cortex. Nature Reviews Neuroscience, 12(3), 154–167.
Way, B. M., Taylor, S. E., & Eisenberger, N. I. (2009). Variation in the mu-opioid receptor gene (OPRM1) is associated with dispositional and neural sensitivity to social rejection. Proceedings of the National Academy of Sciences, 106(35), 15079–15084.
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Dr. Andrew Hill is a neuroscientist and pioneer in the field of brain optimization. With decades of experience in neurofeedback and cognitive enhancement, he bridges cutting-edge research with practical applications for peak performance.
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